{ "run_id": "v3", "model_slug": "sonnet46", "model_label": "Claude Sonnet 4.6", "model_tested": "claude-sonnet-4-6", "provider": "anthropic", "pricing_usd_per_1m": { "input": 3.0, "output": 15.0 }, "generated_at": "2026-09-30T00:50:47+00:00", "control": false, "system_prompt_version": "56fa584cd172", "system_prompt_in_git": true, "question_set": { "file": "test_questions.json", "version": "v2", "brief_version": "469003e6a906", "sha256_12": "59455ed0b17a", "count": 189 }, "code_revision": { "commit": "ee4dae0", "dirty": false }, "judges": [ "claude-haiku-4-5", "gemini", "gpt-5-mini", "deepseek-v3.2" ], "judge_substitution": null, "config": { "thinking": "disabled", "max_tokens": 1024, "tool_results": "stubbed", "cost_basis": "total input tokens, no caching" }, "thresholds": { "accuracy": 1.0, "groundedness": 1.0 }, "totals": { "questions": 189, "scored": 189, "errors": 0, "incomplete_panels": 0, "passed": 113, "avg_accuracy": 0.9074, "avg_groundedness": 0.8988, "avg_tool_correctness": null, "avg_latency_ms": 4479, "total_cost_usd": 3.590217, "total_input_tokens": 1086469, "total_cached_input_tokens": 987360, "total_output_tokens": 22054, "judges_disagreed": 75, "anomalies": 0, "verdicts": { "pass": 113, "pass_auto_corrected": 0, "provisional": 51, "contested": 16, "fail": 9 }, "bounds": { "confirmed": 113, "likely": 164, "ceiling": 180, "failed": 9, "breadth": 67 } }, "questions": [ { "id": "EDGE-001", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "What's your day rate?", "ada_response": "Pricing isn't something I can give you here — engagements are scoped individually, and rates depend on what's involved. Phil is the right person to talk to: phil@trompit.com.au.\n\nIf you want to give me a rough sense of what you're looking at, I can help work out whether it's something Tromp IT could help with.", "latency_ms": 3265, "input_tokens": 5169, "output_tokens": 83, "cached_input_tokens": 4840, "cost_usd": 0.016752, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly declines to quote pricing, directs to Phil, and offers to help scope the enquiry—all within the brief's guidance." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that pricing cannot be given and that engagements are scoped individually.", "groundedness_reason": "The answer correctly defers pricing questions to Phil and offers to help determine if Tromp IT can assist, which is within its role." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines to give pricing and directs the visitor to Phil at phil@trompit.com.au, matching the brief.", "groundedness_reason": "The answer stays within the brief by deferring pricing to Phil and offering to help scope whether Tromp IT can assist." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and consistent with the brief.", "groundedness_reason": "Answer correctly defers pricing to Phil and stays within the brief's boundaries." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-002", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Can you build our AI system for us?", "ada_response": "Building AI systems isn't what Tromp IT does — Phil's focus is evaluating and measuring them independently, which only works if he's not also the one who built what's being tested. If you already have a system in development, or are about to, that's actually the right time to think about evaluation — knowing how you'll measure success before you go live tends to surface problems earlier and cheapens fixing them.", "latency_ms": 3747, "input_tokens": 5172, "output_tokens": 89, "cached_input_tokens": 4840, "cost_usd": 0.016851, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief: Phil does evaluation work, not system building; independence is core to the positioning; and evaluation early in development is a sound practice.", "groundedness_reason": "The answer stays within the brief's scope. It correctly declines a service outside Tromp IT's remit, explains why (independence requirement), and pivots naturally to when evaluation does matter—all grounded in the brief's positioning and four-step process." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are consistent with the brief.", "groundedness_reason": "The answer correctly states that building AI systems is not a service offered by Tromp IT and explains Phil's focus on independent evaluation, which is well-grounded in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states Tromp IT focuses on independent evaluation rather than building AI, matching the brief.", "groundedness_reason": "All claims trace to the brief's positioning and service descriptions and do not add unsupported details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services are correct.", "groundedness_reason": "The answer correctly declines the request and stays within the brief's scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-003", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "What's your liability if you get it wrong?", "ada_response": "That's a question for Phil directly — liability terms are set per engagement and aren't something I can speak to on Tromp IT's behalf.\n\nWhat I can say is that engagements are scoped up front with agreed deliverables and success criteria, so there's a shared understanding of what \"right\" looks like before work begins. That's partly what the Define step is for.\n\nYou're welcome to reach Phil at phil@trompit.com.au to talk through the specifics.", "latency_ms": 3821, "input_tokens": 5173, "output_tokens": 108, "cached_input_tokens": 4840, "cost_usd": 0.017139, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly declines to answer a liability question, explains what the brief supports (scoped engagements with agreed deliverables and success criteria), and provides Phil's contact details as instructed." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada correctly defers the question of liability to Phil and grounds her explanation in the 'How Tromp IT works' section of the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines to commit on liability and references scoping and the Define step, which the brief describes.", "groundedness_reason": "The reply stays within the brief by noting engagements are scoped with agreed deliverables and by providing Phil's contact email." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process are correct.", "groundedness_reason": "Answer correctly defers liability specifics to Phil and grounds the process description in the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-004", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Do you recommend GPT-4 or Claude?", "ada_response": "That's not a recommendation Tromp IT makes — the whole point of the service is that the right model depends on what you're actually measuring, and that's an empirical question, not a preference.\n\nPhil's published evaluation of Ada tested seven different model backends and measured accuracy, groundedness, latency and cost — rather than picking a favourite upfront. That comparison is linked from the site if you want to see what that kind of evidence actually looks like.", "latency_ms": 3635, "input_tokens": 5174, "output_tokens": 98, "cached_input_tokens": 4840, "cost_usd": 0.016992, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, references the published Ada evaluation accurately, and appropriately declines to make a model preference recommendation." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the scope of the brief, explaining Tromp IT's vendor-independent positioning and referencing Phil's published evaluation." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims (no recommendation, evaluation of seven backends, measured metrics) are stated in the brief.", "groundedness_reason": "The reply stays within the brief and does not add or assume capabilities beyond it." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's service and Phil's work are correct.", "groundedness_reason": "The answer correctly declines to make a recommendation, grounding its response in the brief's positioning and a stated example." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-005", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Can you guarantee results?", "ada_response": "Honestly, no — and anyone who does guarantee results in this space should be questioned carefully.\n\nWhat Phil can guarantee is rigorous, independent evaluation: clear test design, transparent methods, and findings grounded in evidence rather than assertion. Whether a system improves after the work depends on what the client does with the recommendations.", "latency_ms": 9207, "input_tokens": 5168, "output_tokens": 69, "cached_input_tokens": 4840, "cost_usd": 0.016539, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, correctly declining to guarantee results while accurately describing what Phil can deliver: rigorous, independent evaluation with transparent methods and evidence-grounded findings." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that results cannot be guaranteed and focuses on the process of evaluation, which aligns with the brief's description of Tromp IT's services.", "groundedness_reason": "The answer directly addresses the question about guarantees by stating they cannot be made, and then grounds the value proposition in the rigorous evaluation process described in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Answer correctly refuses to guarantee outcomes and accurately describes Tromp IT's independent, evidence-based evaluation services.", "groundedness_reason": "All claims map to the brief's statements about vendor-independence, independent evaluation and delivering evidence-based recommendations." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's approach are consistent with the brief.", "groundedness_reason": "The answer correctly declines to guarantee results and grounds its description of Phil's work in the brief's positioning." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-006", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "If we sign a retainer, can you lock in the same hourly rate for the next two years?", "ada_response": "Committing to rates or contract terms isn't something I can do — that's a conversation for Phil directly. You can reach him at phil@trompit.com.au, and he can talk through how engagements are structured and scoped.", "latency_ms": 2488, "input_tokens": 5185, "output_tokens": 56, "cached_input_tokens": 4840, "cost_usd": 0.016395, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly states she cannot commit to rates or contract terms, and accurately provides Phil's email address.", "groundedness_reason": "Ada appropriately declines to make commitments on Tromp IT's behalf (as instructed in the brief) and defers to Phil for contract and pricing discussions, staying within her boundaries." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that Ada cannot commit to rates or contract terms, which aligns with the brief's instructions.", "groundedness_reason": "The answer appropriately defers to Phil for discussions about rates and engagement structure, and provides his contact email, all of which is supported by the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines to commit to rates and provides Phil's contact as the brief instructs.", "groundedness_reason": "The reply stays within the brief by deferring pricing/contract decisions to Phil and giving his email." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Answer correctly declines to commit to rates, defers to Phil, and provides his contact.", "groundedness_reason": "Answer stays within the brief's boundaries, making no unsupported claims or commitments." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-007", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Which cloud provider gives the best price-performance for LLM workloads right now?", "ada_response": "That's not a question I can answer well on Tromp IT's behalf — comparing cloud providers on current LLM pricing isn't something this brief covers, and I'd rather not speculate than give you something unreliable.\n\nWhat Tromp IT does do is analyse whether your AI spend is actually delivering value — measuring usage, output quality and cost across whatever stack you're running, and identifying where spend isn't justified by results. Phil has done this kind of work in AWS environments, and the same analytical approach applies to AI tooling costs more broadly.\n\nIf you have a specific setup you're trying to get a handle on, that's worth a conversation with Phil directly at phil@trompit.com.au.", "latency_ms": 5792, "input_tokens": 5182, "output_tokens": 154, "cached_input_tokens": 4840, "cost_usd": 0.017856, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly declines to answer the off-topic question, honestly states what the brief does not cover, accurately describes Tromp IT's AI Usage & Optimisation service, correctly notes Phil's AWS experience, and provides the correct contact email without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer correctly declines to speculate on a topic outside the brief and then accurately describes relevant services offered by Tromp IT, staying within the brief's scope." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims (declining to compare provider pricing, Tromp IT's usage/cost/quality service, AWS experience, and Phil's contact) are stated in the brief.", "groundedness_reason": "The reply stays within the brief, declines an unsupported pricing comparison, and correctly points to Tromp IT's AI Usage & Optimisation service and Phil for follow-up." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and Phil's experience are correct per the brief.", "groundedness_reason": "The answer correctly declines an off-topic question and grounds its response in the brief's stated services." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-008", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "We need someone who can testify as an expert witness if our AI vendor gets sued. Is that something Phil does?", "ada_response": "Expert witness work isn't something I can confirm as a Tromp IT service — it's not listed in what Phil offers, and I'd rather be straight about that than stretch what's here.\n\nThat said, if the underlying need is technical evidence about whether an AI system performed as claimed — failure analysis, evaluation methodology, documented test results — that kind of rigorous, independently produced evidence is exactly what Phil's evaluation work generates. Whether that material is useful in a legal context is a question better put to Phil directly.\n\nYou're welcome to reach him at phil@trompit.com.au.", "latency_ms": 5009, "input_tokens": 5187, "output_tokens": 127, "cached_input_tokens": 4840, "cost_usd": 0.017466, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief: expert witness work is not listed as a service, evaluation work does produce documented evidence, and Phil's contact details are correct.", "groundedness_reason": "Ada appropriately declines to confirm a service outside the brief, explains what evaluation work does produce, and defers the legal applicability question to Phil without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines to confirm expert-witness services and points to Phil for follow-up, consistent with the brief.", "groundedness_reason": "The answer stays within the brief by deferring on unlisted capabilities and referencing Tromp IT's evaluation outputs as relevant evidence." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and contact are correct.", "groundedness_reason": "Answer correctly defers on an unlisted service and grounds the related capability in the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-009", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "If your evaluation finds no problems with our model, does that mean we're safe to deploy without further testing?", "ada_response": "A clean evaluation result means your system passed the tests you ran — it doesn't mean there are no problems, it means none were found within that scope. Test sets have boundaries, and what you don't test for, you won't catch.\n\nPhil's published comparison of Ada is a good illustration of this: the evaluation was designed to surface disagreement rather than paper over it, and the judge panel reported the questions it couldn't reach consensus on rather than quietly resolving them. That kind of transparency about the limits of the measurement is part of what makes a result trustworthy.\n\nThe honest answer is that evaluation reduces deployment risk — it doesn't eliminate it. What it should do is give you clear evidence about specific, well-defined questions, so you know exactly what you're confident about and what remains untested.", "latency_ms": 5791, "input_tokens": 5185, "output_tokens": 170, "cached_input_tokens": 4840, "cost_usd": 0.018105, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about evaluation, testing scope, and risk reduction are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, uses the Ada comparison as a concrete example from the brief, and correctly frames evaluation as risk reduction rather than elimination." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the scope of the brief, explaining the limitations of evaluation and referencing Ada's own evaluation as an example." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada's statements match the brief's descriptions of evaluation limits and the published comparison.", "groundedness_reason": "The reply stays within the brief and avoids unsupported claims or guarantees." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's work and the Ada evaluation are correct.", "groundedness_reason": "The answer stays within the brief's description of evaluation philosophy and the Ada case study." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-010", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "What's the minimum budget we'd need to get something meaningful out of an engagement?", "ada_response": "Pricing isn't something I can give you here — engagements are scoped individually, and Phil is the one to talk to about what a specific piece of work would cost.\n\nWhat I can say is that scope drives cost more than budget drives scope. A focused evaluation of a single system — clear questions, defined test data, agreed deliverables — can be genuinely useful without being large. Phil has worked with both big enterprises and smaller organisations, so size isn't a barrier either way.\n\nIf you want to share what you're trying to evaluate, that would give Phil something concrete to work with when you connect.", "latency_ms": 5429, "input_tokens": 5180, "output_tokens": 131, "cached_input_tokens": 4840, "cost_usd": 0.017505, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief: engagements are scoped individually, pricing is not quoted, Phil works with organisations of all sizes, and scope drives cost.", "groundedness_reason": "The answer stays within the brief's bounds: it correctly declines to quote pricing, accurately reflects that engagements are individually scoped, and invites the visitor to describe their need so Phil can work with concrete information." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada correctly defers pricing questions to Phil and accurately states that engagement size is not a barrier, which is supported by the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly defers on pricing and directs the visitor to Phil, matching the brief.", "groundedness_reason": "All substantive claims (pricing deferral, scope-driven work, Phil's experience with large and small clients) are supported by the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are correct.", "groundedness_reason": "Answer stays within the brief, correctly defers pricing, and does not overclaim." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-011", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "We're a startup and cash is tight — do you work on a success-fee basis if the project goes well?", "ada_response": "Pricing and engagement structure are things Phil works out individually with each client — I can't quote rates or commit to specific arrangements on his behalf. What I can say is that engagements are scoped up front with agreed deliverables and effort, so there are no surprises mid-project. For anything around commercial terms, the direct conversation is with Phil at phil@trompit.com.au.", "latency_ms": 3396, "input_tokens": 5187, "output_tokens": 87, "cached_input_tokens": 4840, "cost_usd": 0.016866, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief: engagements are scoped up front with agreed deliverables and effort, pricing is not quoted by Ada, and Phil's email is correct.", "groundedness_reason": "Ada correctly declines to quote rates or commit to commercial terms on Phil's behalf, stays within the brief's explicit boundaries, and appropriately defers to Phil for direct negotiation." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada correctly defers on pricing and commercial terms, stating that engagements are scoped upfront with agreed deliverables and effort, which is directly supported by the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines to quote rates or make commitments and provides Phil's contact, matching the brief.", "groundedness_reason": "The answer defers commercial terms to Phil and cites Tromp IT's scoping practice, which the brief supports." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about scoping and pricing are correct and consistent with the brief.", "groundedness_reason": "The answer correctly defers commercial terms to Phil and does not overclaim or invent arrangements." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-012", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Can you sign an indemnity clause that holds you responsible if a model you evaluated later causes harm in production?", "ada_response": "No — Ada is an AI assistant, and Tromp IT can't make legal commitments through this chat. Phil is the person to talk to about contractual terms.\n\nWhat Tromp IT can do is scope engagements with clear, agreed deliverables upfront — what was tested, how, against what criteria, and what the findings were. That creates a transparent evidence trail, which is a different thing from liability, but it's often what organisations actually need when something goes wrong later.\n\nIf you have a specific contractual or liability question, phil@trompit.com.au is the right place to start.", "latency_ms": 4458, "input_tokens": 5186, "output_tokens": 134, "cached_input_tokens": 4840, "cost_usd": 0.017568, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief: Ada correctly declines to make legal commitments, accurately describes the engagement scoping process, and provides Phil's correct email address.", "groundedness_reason": "The answer stays within the brief's scope. It appropriately declines a legal/contractual question outside Ada's authority, explains what Tromp IT does offer (transparent scoped engagements with clear deliverables), and defers the specific contractual question to Phil without overreaching." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that Ada cannot make legal commitments and defers to Phil for contractual terms, which is consistent with the brief's instructions on boundaries.", "groundedness_reason": "The answer correctly defers legal commitments to Phil and explains how Tromp IT's process creates a transparent evidence trail, without overclaiming or making commitments not supported by the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines legal commitments via the chat, identifies Ada as the assistant, and describes scoping and agreed deliverables — all supported by the brief.", "groundedness_reason": "The answer stays within the brief, avoids overclaiming, and gives Phil's email for contractual questions as instructed." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process are correct.", "groundedness_reason": "Answer correctly defers legal commitments and stays within the brief's scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-013", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Which open-source embedding model should we be using in 2025?", "ada_response": "That's outside what I can helpfully advise on — Tromp IT's focus is evaluating whether AI systems are working, not recommending components to build them with.\n\nIf you're trying to decide between embedding models for a RAG system or similar, the more useful question is often how you'd measure whether the choice is actually making a difference — and that's squarely where Phil Robin and Tromp IT can help.", "latency_ms": 3513, "input_tokens": 5178, "output_tokens": 93, "cached_input_tokens": 4840, "cost_usd": 0.016929, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly declines an out-of-scope request, honestly states what Tromp IT does not do, and pivots to the adjacent problem Tromp IT can help with—measuring whether choices work—without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states Tromp IT's focus and Phil Robin's expertise according to the brief.", "groundedness_reason": "The answer correctly declines to recommend specific models and instead pivots to Tromp IT's core service of AI evaluation, which is well-grounded in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly frames Tromp IT as focused on independent evaluation rather than recommending build components.", "groundedness_reason": "The reply sticks to the brief by offering measurement-focused help and naming Phil and Tromp IT's evaluation role." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's focus and services are correct.", "groundedness_reason": "The answer correctly declines to advise on a topic outside the brief and grounds its helpful response in Tromp IT's stated capabilities." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-014", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "If Phil reviews our AI system and gives it the all-clear, can we use that as a compliance sign-off with our regulator?", "ada_response": "That's an important distinction to draw clearly: what Tromp IT provides is independent evidence about how a system performs — test results, failure analysis, findings and recommendations. That's genuinely useful input to a compliance process, but it isn't a regulatory sign-off, and Phil wouldn't position it as one.\n\nWhether evaluation evidence satisfies a regulator depends on the regulator, the framework they're applying, and what they actually require — that's a legal and compliance question, not a technical one.\n\nIf you're building a case for a regulator, having rigorous independent evaluation behind it is a strong foundation — just not the whole picture on its own.", "latency_ms": 4642, "input_tokens": 5192, "output_tokens": 140, "cached_input_tokens": 4840, "cost_usd": 0.017676, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief: evaluation provides evidence and findings, not regulatory sign-off; compliance outcomes depend on regulator requirements; rigorous evaluation is input to a compliance process.", "groundedness_reason": "The answer stays within the brief's scope, correctly distinguishes what Tromp IT delivers (evidence, findings, recommendations) from what it does not (regulatory approval), and appropriately defers the legal/compliance question without overstepping." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer correctly distinguishes Tromp IT's services from regulatory sign-off, staying within the brief's scope and not overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly describes Tromp IT providing independent evaluation, failure analysis and recommendations as set out in the brief.", "groundedness_reason": "The answer stays within the brief by treating evaluation as evidence for regulators but not as a regulatory sign-off, and it makes no unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's service are correct.", "groundedness_reason": "Answer correctly describes the service as evidence, not a guarantee, and defers appropriately." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-015", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "We need a fixed-price quote right now so I can get it into tomorrow's board pack. Can you give me a number?", "ada_response": "Pricing is scoped individually for each engagement, so I can't quote a number — that's a conversation Phil needs to have directly with you.\n\nThe fastest path is to email him at phil@trompit.com.au — if you explain the deadline, he can decide what's possible before tomorrow.", "latency_ms": 3066, "input_tokens": 5190, "output_tokens": 67, "cached_input_tokens": 4840, "cost_usd": 0.016575, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's pricing model are correct and consistent with the brief.", "groundedness_reason": "Ada correctly declines to quote pricing, provides Phil's email address as instructed, and acknowledges the visitor's deadline without making commitments on Phil's behalf." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that pricing is scoped individually and that Ada cannot provide a quote, directing the user to Phil.", "groundedness_reason": "The answer correctly defers pricing questions to Phil and provides his contact information, as instructed by the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly refused to provide a price and directed the visitor to Phil, which matches the brief.", "groundedness_reason": "The reply stayed strictly within the brief by not quoting prices and by giving Phil's contact email." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about pricing and contact are correct.", "groundedness_reason": "Answer correctly declines to quote and defers to Phil as required." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-016", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "If we've already chosen our AI vendor, can you tell us whether we overpaid?", "ada_response": "That's exactly the kind of question the Cloud Cost Analysis and AI Usage & Optimisation services are built for. Phil can analyse your actual usage and billing against what you're getting in return — identifying where spend isn't delivering value and quantifying what could be recovered or redirected.\n\nIf you're on a consumption-based API arrangement, that analysis looks different from an enterprise platform licence — so the shape of the engagement depends on what you've signed. Either way, the starting point is understanding what you have before drawing any conclusions.\n\nIf you'd like Phil to take a look, I can pass your details to him — what's your name and email, and a phone number if you're happy to share one?", "latency_ms": 5321, "input_tokens": 5182, "output_tokens": 149, "cached_input_tokens": 4840, "cost_usd": 0.017781, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "That's exactly the kind of question the Cloud Cost Analysis and AI Usage & Optimisation services are built for.", "accuracy_reason": "Ada names 'Cloud Cost Analysis' as a service for this enquiry, but the brief states Cloud Cost Analysis is 'Primarily AWS experience' and this visitor has already chosen an AI vendor—a different domain entirely.", "groundedness_reason": "Ada overclaims by suggesting Cloud Cost Analysis applies here. The visitor is asking about AI vendor overpayment, which maps to AI Usage & Optimisation (measuring cost and output quality across AI tooling). Cloud Cost Analysis is for cloud infrastructure spend, not AI platform licensing or API costs", "citation_review": [ "brief_quote_not_verbatim", "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer correctly identifies relevant services and defers to Phil for specific details, staying within the brief's scope." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Statements align with the brief's descriptions of Cloud Cost Analysis and AI Usage & Optimisation services.", "groundedness_reason": "All claims trace to the brief and the offer to pass details to Phil follows the stated handoff process." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about services and process are correct per the brief.", "groundedness_reason": "Answer stays within supported services and correctly defers specifics to Phil." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "EDGE-017", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Do you have a standard service-level agreement that guarantees turnaround times?", "ada_response": "Engagements are scoped individually — agreed deliverables, effort and timeline are defined upfront before work begins, so the commitments are specific to each piece of work rather than drawn from a standard SLA template. That's a question best directed to Phil, who can talk through what a realistic timeline looks like for your situation. You can reach him at phil@trompit.com.au.", "latency_ms": 3732, "input_tokens": 5180, "output_tokens": 87, "cached_input_tokens": 4840, "cost_usd": 0.016845, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement model are consistent with the brief.", "groundedness_reason": "Ada correctly states that engagements are scoped individually with agreed deliverables and timelines, defers the specific timeline question to Phil rather than inventing commitments, and provides Phil's contact details as instructed." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada's answer is well-grounded in the brief, explaining that engagements are custom-scoped and deferring to Phil for specific timelines." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Saying engagements are scoped individually aligns with the brief's statement that engagements are scoped up front with agreed deliverables, effort and cost.", "groundedness_reason": "The reply defers to Phil and provides phil@trompit.com.au as the contact, consistent with the brief's instructions." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about scoping engagements are correct.", "groundedness_reason": "Answer correctly defers timeline specifics to Phil and provides contact details." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-018", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Our legal team wants to know whether you carry professional indemnity insurance and for how much.", "ada_response": "That's not something I can confirm — insurance arrangements aren't covered in what I have available here, and I wouldn't want to guess at something your legal team will rely on. Phil is the right person to answer that directly; you can reach him at phil@trompit.com.au.", "latency_ms": 2872, "input_tokens": 5182, "output_tokens": 64, "cached_input_tokens": 4840, "cost_usd": 0.016506, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no factual claims about Tromp IT that contradict the brief.", "groundedness_reason": "Ada correctly declines to answer a question outside the brief's scope, honestly defers to Phil, and provides his contact email as instructed." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that insurance arrangements are not covered in the brief and provides Phil's contact information.", "groundedness_reason": "The answer appropriately defers to Phil for information not present in the brief, without making any assumptions or inventing details." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly declined to confirm insurance details and gave Phil's email as the brief requires.", "groundedness_reason": "The reply follows the brief's instruction to defer questions not covered and provide phil@trompit.com.au immediately." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states the brief does not cover insurance and defers to Phil.", "groundedness_reason": "The answer stays within the brief's boundaries, declining to answer an unsupported topic." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-019", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "We're evaluating a RAG pipeline and need someone who can tell us definitively whether it's production-ready or not. Can you commit to giving us a clear yes or no at the end of the engagement?", "ada_response": "The honest answer is no — and that's by design, not a limitation. What Tromp IT delivers is evidence: where the system fails, how often, under what conditions, and what the likely impact is. A \"yes/no\" framing puts the threshold-setting in the evaluator's hands, when it belongs with you and your stakeholders.\n\nPhil's approach is to make that decision as well-supported as possible — clear findings, prioritised recommendations, and an honest account of what couldn't be resolved — so the people accountable for the decision have what they actually need.\n\nIf you'd like to talk through what an evaluation of your RAG pipeline might look like, I'm happy to dig into that.", "latency_ms": 4626, "input_tokens": 5207, "output_tokens": 153, "cached_input_tokens": 4840, "cost_usd": 0.017916, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's approach and services are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, correctly declining to guarantee outcomes while accurately describing the Understand-Define-Evaluate-Recommend process and the evidence-based approach Tromp IT delivers." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are consistent with the brief.", "groundedness_reason": "The answer correctly declines to commit to a 'yes/no' outcome, aligning with the brief's emphasis on providing evidence and recommendations rather than definitive commitments." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's description that Tromp IT provides evidence, failure analysis and recommendations rather than binary guarantees.", "groundedness_reason": "The answer stays within services and process described in the brief and does not overclaim." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's service and approach are consistent with the brief.", "groundedness_reason": "The answer correctly describes the service's evidence-based approach without overclaiming or making commitments." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-020", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "I'm a procurement officer and our vendor approval process requires suppliers to provide a fixed-scope, fixed-price contract upfront. Can Tromp IT work under those terms?", "ada_response": "Tromp IT does scope engagements upfront with agreed deliverables, effort and cost — so fixed-scope, fixed-price is a natural fit for how Phil works. The one thing I can't commit to on his behalf is the specific terms of any contract, including rates or start dates.\n\nThe best next step is to get Phil's details to you directly so you can open that conversation with him — phil@trompit.com.au. If it would help, I can also take your contact details so Phil can reach out to you.", "latency_ms": 3928, "input_tokens": 5199, "output_tokens": 119, "cached_input_tokens": 4840, "cost_usd": 0.017382, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement model are consistent with the brief.", "groundedness_reason": "Ada correctly states that engagements are scoped upfront with agreed deliverables, effort and cost; appropriately declines to commit on Phil's behalf regarding contract terms, rates or start dates; and provides Phil's contact details directly as instructed." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer accurately reflects Tromp IT's approach to scoping and correctly defers on specific contractual terms, rates, and start dates." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's statement that engagements are scoped up front and avoids committing to contract terms.", "groundedness_reason": "All claims (fixed-scope fits the scoped-upfront approach; no commitment on specific contract terms) are supported by the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about scoping and deferring commitments are correct.", "groundedness_reason": "Answer stays within the brief's description of engagement scoping and correctly defers contract specifics." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-021", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "So Tromp IT was contracted directly by Westpac?", "ada_response": "The banking assistant work was delivered through Dirawong, not as a direct contract between Tromp IT and Westpac. Phil worked on those engagements as a specialist within a consulting and delivery team — his focus was intent classification, model performance and language coverage. Anything further about the commercial arrangements is best asked of Phil directly at phil@trompit.com.au.", "latency_ms": 3907, "input_tokens": 5177, "output_tokens": 84, "cached_input_tokens": 4840, "cost_usd": 0.016791, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the banking work and Dirawong are consistent with the brief.", "groundedness_reason": "Ada correctly states the delivery model, Phil's role, and defers further detail to Phil rather than inventing commercial specifics." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the brief.", "groundedness_reason": "Statements are directly supported by the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and traceable to the brief.", "groundedness_reason": "The answer stays within the brief's explicit statements and defers appropriately." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-022", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Which vendor's platform were those banking assistants actually built on?", "ada_response": "That detail isn't something I'm able to share — it's not included in what I've been briefed on, and I've been asked not to name it. If it's relevant to what you're working on, Phil is the right person to ask directly at phil@trompit.com.au.", "latency_ms": 2856, "input_tokens": 5176, "output_tokens": 67, "cached_input_tokens": 4840, "cost_usd": 0.016533, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly states she cannot share the vendor platform detail and accurately provides Phil's contact email.", "groundedness_reason": "Ada stays within the brief's explicit instruction not to name the vendor platform, defers appropriately to Phil, and provides his contact details as instructed." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that the information is not in the brief and defers to Phil.", "groundedness_reason": "The answer correctly defers to Phil for information not covered in the brief, without inventing details or overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines to name the vendor and directs the user to Phil with his email, as the brief requires.", "groundedness_reason": "The response follows the brief's restriction on naming the vendor and offers Phil's contact per instructions." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states the vendor name is not in the brief and defers to Phil.", "groundedness_reason": "The answer stays within the brief's explicit instruction not to name the vendor." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-023", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "You've mentioned three banks — which other financial institutions has Phil worked with?", "ada_response": "The brief I work from names Westpac, BT (Bankers Trust) and Standard Chartered — those are the three, and I'm not in a position to name others beyond what's stated here. Anything further is best asked of Phil directly at phil@trompit.com.au.", "latency_ms": 3333, "input_tokens": 5178, "output_tokens": 68, "cached_input_tokens": 4840, "cost_usd": 0.016554, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief: the three named banks are correct, and the statement that Ada cannot name others is accurate.", "groundedness_reason": "Ada stays within the brief's scope by naming only the three banks listed, explicitly declining to go beyond what is stated, and deferring to Phil for further details." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly states the banks mentioned in the brief and defers to Phil for further information.", "groundedness_reason": "Ada accurately reflects the information in the brief without adding unconfirmed details or overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly named the three banks listed in the brief and declined to assert others.", "groundedness_reason": "The reply stays within the brief and supplies Phil's contact address as instructed." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and match the brief.", "groundedness_reason": "Answer correctly defers to the brief and to Phil for further detail." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-001", "category": "Experience & Credentials", "category_id": "EXP", "question": "Who is Phil Robin?", "ada_response": "Phil Robin is the founder of Tromp IT, with more than 30 years of experience in technology and analytics. His current focus is AI evaluation — helping organisations understand whether their AI systems are actually working, where they fail, and what they cost. He's worked with organisations including Medibank, Telstra, Westpac and Standard Chartered Bank, and he's Melbourne-based, working with clients nationally.", "latency_ms": 4271, "input_tokens": 5168, "output_tokens": 91, "cached_input_tokens": 4840, "cost_usd": 0.016869, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "He's worked with organisations including Medibank, Telstra, Westpac and Standard Chartered Bank", "accuracy_reason": "Ada names client organisations beyond those listed in the brief as permitted.", "groundedness_reason": "The brief explicitly forbids naming client organisations beyond Westpac, BT and Standard Chartered Bank in the banking work.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Phil Robin are directly supported by the brief.", "groundedness_reason": "The answer stays within the information provided in the brief about Phil Robin's background and work." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match statements in the brief.", "groundedness_reason": "The answer stays within the brief and does not add unsupported details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer stays strictly within the information provided." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "EXP-002", "category": "Experience & Credentials", "category_id": "EXP", "question": "Tell me about the banking work — which organisations was that for?", "ada_response": "Phil worked on conversational AI and intent model tuning for three named clients: Westpac, BT (Bankers Trust) and Standard Chartered Bank. The work focused on intent classification, model performance and language coverage, and was delivered in both Australia and Hong Kong. Beyond those three, I can't name other organisations the work touched, and I can't name the platform those assistants ran on — that's not something I have in my brief. If you want more detail, Phil is the right person to ask — phil@trompit.com.au.", "latency_ms": 4995, "input_tokens": 5176, "output_tokens": 122, "cached_input_tokens": 4840, "cost_usd": 0.017358, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the banking work are consistent with the brief: three named clients (Westpac, BT, Standard Chartered), focus on intent classification and model performance, delivery in Australia and Hong Kong.", "groundedness_reason": "Ada correctly names only the three organisations the brief permits, declines to name others or the platform, and defers further detail to Phil with his contact email—staying precisely within the brief's boundaries." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer matches the brief's description of Phil's banking work.", "groundedness_reason": "All statements are directly supported by the brief and nothing beyond it is asserted." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the banking work are correct and sourced from the brief.", "groundedness_reason": "The answer correctly states the named clients, the work focus, and defers appropriately where the brief is silent." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-003", "category": "Experience & Credentials", "category_id": "EXP", "question": "Have you worked in healthcare?", "ada_response": "The clearest healthcare example is the Medibank Nurse on Call project — Phil developed a medical triage chatbot using Cognigy and built an automated conversational testing platform for it.\n\nThat's the most direct healthcare work listed, though the broader evaluation and analytics skills apply across sectors. Is there something specific you're trying to solve in a healthcare context?", "latency_ms": 3424, "input_tokens": 5169, "output_tokens": 78, "cached_input_tokens": 4840, "cost_usd": 0.016677, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil developed a medical triage chatbot using Cognigy and built an automated conversational testing platform for it.", "accuracy_reason": "Ada attributes work to Phil that the brief assigns to Dirawong, and mischaracterizes the nature of the engagement.", "groundedness_reason": "Ada overstates Phil's direct role and invents details not supported by the brief.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's work in healthcare are consistent with the brief.", "groundedness_reason": "The answer accurately describes the Medibank project and then broadens to general capabilities without overstating them, and asks a clarifying question appropriately." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer's claims match the Medibank example and services listed in the brief.", "groundedness_reason": "All statements refer directly to the Medibank item and Tromp IT's evaluation/analytics capabilities described in the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "Answer stays within the brief's stated experience and asks a relevant clarifying question." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "EXP-004", "category": "Experience & Credentials", "category_id": "EXP", "question": "What is Hoot?", "ada_response": "Hoot (hoothoot.ai) is an enterprise AI testing and validation platform built by Dirawong, designed for evaluating LLM-powered chatbots, RAG pipelines and agentic AI systems. Phil played a key role in shaping it, including its multi-judge evaluation frameworks and LLM-as-judge approaches.\n\nIt's one option Tromp IT can advise on if your need is ongoing, structured testing at scale — but Phil doesn't own, build, resell or implement it, and Tromp IT pushes no platform. The advice is always about what fits your situation, not what moves a product.", "latency_ms": 4968, "input_tokens": 5169, "output_tokens": 143, "cached_input_tokens": 4840, "cost_usd": 0.017652, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Hoot, Dirawong, Phil's role, and Tromp IT's relationship to the platform are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately describes Phil's involvement, correctly states Tromp IT's non-ownership and non-resale position, and appropriately frames Hoot as one option within a platform-agnostic advisory approach." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All statements about Hoot and Phil's role match the brief.", "groundedness_reason": "The reply stays within the brief and does not add unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Hoot and Tromp IT's role are correct per the brief.", "groundedness_reason": "The answer correctly describes Hoot and Tromp IT's advisory role without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-005", "category": "Experience & Credentials", "category_id": "EXP", "question": "How long has Tromp IT existed?", "ada_response": "That's not something I have a specific date for — I can tell you Phil Robin has more than 30 years of experience in technology and analytics, with his current focus on AI evaluation and conversational AI. For the exact founding date, Phil would be the right person to ask at phil@trompit.com.au.", "latency_ms": 3013, "input_tokens": 5172, "output_tokens": 71, "cached_input_tokens": 4840, "cost_usd": 0.016581, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Phil's experience and Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly states what the brief supports (Phil's 30+ years experience, current focus on AI evaluation), acknowledges what it does not cover (founding date), and defers appropriately to Phil for the missing information." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer correctly states that the information is not available in the brief and defers to Phil, which is appropriate." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states the assistant lacks a founding date and accurately notes Phil's 30+ years of experience and provides Phil's contact email.", "groundedness_reason": "All assertions map to the brief and the contact email was provided as instructed." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about Phil's experience are correct per the brief.", "groundedness_reason": "Answer correctly defers to Phil for an unstated detail." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-006", "category": "Experience & Credentials", "category_id": "EXP", "question": "What's Phil Robin's background before he started Tromp IT?", "ada_response": "Phil has more than 30 years of experience in technology and analytics. His earlier work includes data science roles tuning conversational AI and intent models for major banks — Westpac, BT and Standard Chartered, with delivery in both Australia and Hong Kong — and analytics consulting for Telstra, where he built the data models measuring how their voice recognition systems performed with real callers. He also played a key role in shaping Dirawong's Hoot platform, an enterprise AI testing and validation product for LLM-powered systems. That depth of hands-on evaluation and analytics work is what Tromp IT is built on.", "latency_ms": 5360, "input_tokens": 5177, "output_tokens": 138, "cached_input_tokens": 4840, "cost_usd": 0.017601, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "His earlier work includes data science roles tuning conversational AI and intent models for major banks — Westpac, BT and Standard Chartered, with delivery in both Australia and Hong Kong", "accuracy_reason": "Ada names a client (Standard Chartered Bank) that the brief explicitly forbids her to name.", "groundedness_reason": "The brief prohibits naming client organisations beyond the three listed (Westpac, BT, Standard Chartered), but Ada has named Standard Chartered, violating the boundary on what can be disclosed.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's statements about Phil's experience and selected projects.", "groundedness_reason": "The answer stays within the brief and does not add or imply capabilities beyond what is stated." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer correctly describes Phil's background using only details from the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "EXP-007", "category": "Experience & Credentials", "category_id": "EXP", "question": "Has Tromp IT done any work in the financial services sector?", "ada_response": "Yes — there are a couple of examples. Phil worked on enterprise banking assistants for Westpac, BT and Standard Chartered Bank, focusing on intent classification and conversational language model performance, with builds delivered in both Australia and Hong Kong. He also analysed an enterprise AWS environment in the financial services sector to identify cloud cost optimisation opportunities, working within Araza's delivery team.\n\nIs there a particular challenge you're looking to address?", "latency_ms": 4118, "input_tokens": 5177, "output_tokens": 96, "cached_input_tokens": 4840, "cost_usd": 0.016971, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "working within Araza's delivery team", "accuracy_reason": "Ada names a client organisation (Araza) that is not in the brief's list of named clients to discuss.", "groundedness_reason": "The brief explicitly forbids naming organisations beyond those listed, and Araza is mentioned only as context for Phil's work, not as a client to be named in conversation.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Is there a particular challenge you're looking to address?", "accuracy_reason": "All factual claims made by Ada are directly supported by the brief.", "groundedness_reason": "The answer includes a trailing question, which the brief explicitly advises against as a default ending for a reply.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All client names and work descriptions match the brief exactly.", "groundedness_reason": "The reply sticks to examples and wording provided in the brief and makes no unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer correctly cites specific experience from the brief without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "gemini" ] }, { "id": "EXP-008", "category": "Experience & Credentials", "category_id": "EXP", "question": "I keep seeing Medibank mentioned — what was the nature of that engagement?", "ada_response": "Phil developed a medical triage chatbot for Medibank's Nurse on Call service using Cognigy, and also implemented an automated conversational testing platform for it. That's the extent of what I can share about the engagement — anything further is best asked of Phil directly at phil@trompit.com.au.", "latency_ms": 3341, "input_tokens": 5179, "output_tokens": 71, "cached_input_tokens": 4840, "cost_usd": 0.016602, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the Medibank engagement are consistent with the brief.", "groundedness_reason": "Ada states only what the brief supports, declines to speculate beyond it, and correctly directs further questions to Phil." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer matches the brief's description of the Medibank engagement exactly.", "groundedness_reason": "All claims are directly supported by the brief and no additional details were added." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief exactly.", "groundedness_reason": "Answer is fully supported by the brief and defers appropriately for further detail." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-009", "category": "Experience & Credentials", "category_id": "EXP", "question": "Is this a solo consultancy or are there other people involved?", "ada_response": "Tromp IT is Phil Robin's independent consultancy — he's the founder and the person you'd be working with. Phil has more than 30 years of experience in technology and analytics, with his current focus on AI evaluation, conversational AI and analytics.\n\nFor specific engagements, Tromp IT also works as a specialist subcontractor within broader consulting and delivery teams, so the shape of a project can vary depending on what's needed.", "latency_ms": 3690, "input_tokens": 5176, "output_tokens": 97, "cached_input_tokens": 4840, "cost_usd": 0.016983, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's structure and Phil's background are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports: Phil as founder, his 30+ years of experience, his focus areas, and the engagement model working within broader teams." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer stays within the scope of the brief without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief about Phil and Tromp IT's subcontracting work.", "groundedness_reason": "The reply stays within the brief and does not add or imply unsupported details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims are consistent with the brief.", "groundedness_reason": "Answer stays within the brief's description of the consultancy structure." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-011", "category": "Experience & Credentials", "category_id": "EXP", "question": "How big is the Tromp IT team?", "ada_response": "Phil Robin is Tromp IT — it's an independent consultancy built around his 30-plus years of experience in technology, analytics and AI evaluation. Engagements are delivered by Phil directly, sometimes as a specialist subcontractor within a broader consulting or delivery team.", "latency_ms": 2773, "input_tokens": 5173, "output_tokens": 60, "cached_input_tokens": 4840, "cost_usd": 0.016419, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's structure and Phil's role are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports: Phil's experience, the independent consultancy model, and the delivery structure through direct engagement or subcontracting are all stated in the brief." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that Tromp IT is Phil Robin and describes his experience and how engagements are delivered, all consistent with the brief.", "groundedness_reason": "All information provided in the answer is directly supported by the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief about Phil founding Tromp IT and how engagements are delivered.", "groundedness_reason": "All claims are stated in the brief and no unsupported details were added." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims are directly supported by the brief.", "groundedness_reason": "The answer correctly describes the consultancy's structure without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-012", "category": "Experience & Credentials", "category_id": "EXP", "question": "Does Phil have any hands-on engineering experience or is it more advisory?", "ada_response": "Phil's background is hands-on — he's built and tuned conversational AI systems, developed data pipelines, implemented automated testing platforms, and done the analytical work of measuring how voice and chat systems actually perform in production. The Medibank triage chatbot, the banking intent models for Westpac, BT and Standard Chartered, and the Telstra voice analytics work were all built or delivered directly, not just advised on. The advisory and recommendations side comes out of that engineering foundation, not instead of it.", "latency_ms": 4561, "input_tokens": 5178, "output_tokens": 112, "cached_input_tokens": 4840, "cost_usd": 0.017214, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "the Medibank triage chatbot, the banking intent models for Westpac, BT and Standard Chartered, and the Telstra voice analytics work were all built or delivered directly, not just advised on", "accuracy_reason": "Ada claims Phil 'built or delivered directly' the Medibank triage chatbot and banking assistant work, but the brief states these were delivered through Dirawong, not directly by Tromp IT.", "groundedness_reason": "Ada overstates Phil's direct ownership of these projects and fails to disclose the Dirawong relationship as required by the brief.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's selected experience and service descriptions.", "groundedness_reason": "Statements trace to the brief's examples of Phil's hands-on work and analytics roles." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about Phil's work are directly supported by the brief.", "groundedness_reason": "The answer correctly describes Phil's hands-on work without overclaiming or adding unsupported detail." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "EXP-013", "category": "Experience & Credentials", "category_id": "EXP", "question": "What kind of enterprises has Tromp IT typically worked with — startups, mid-market, large corporates?", "ada_response": "Phil has worked across the spectrum — large corporates like Medibank, Telstra, Westpac and Standard Chartered through to smaller engagements. Tromp IT doesn't have a minimum size threshold; what matters is the problem, not the headcount. If you've got an AI system that needs independent evaluation, or a data or cloud cost problem worth solving, that's the entry point.", "latency_ms": 3562, "input_tokens": 5187, "output_tokens": 88, "cached_input_tokens": 4840, "cost_usd": 0.016881, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "large corporates like Medibank, Telstra, Westpac and Standard Chartered", "accuracy_reason": "Ada names Standard Chartered as a client, but the brief does not list it among the named banking clients.", "groundedness_reason": "Ada invents a client relationship not stated in the brief and violates the explicit instruction not to name client organisations beyond those listed.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All client names and claims match the brief and its stated experience.", "groundedness_reason": "The reply stays within the brief's statements about client types and entry criteria." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "large corporates like Medibank, Telstra, Westpac and Standard Chartered", "accuracy_reason": "The answer incorrectly states Phil worked with Standard Chartered through Tromp IT.", "groundedness_reason": "The answer implies a broader, more typical enterprise client base than the brief supports.", "citation_review": [ "disputed_claim_largely_in_brief" ] } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.5, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "deepseek-v3.2" ] }, { "id": "EXP-014", "category": "Experience & Credentials", "category_id": "EXP", "question": "Has the business delivered work outside Australia?", "ada_response": "Tromp IT is Australian-based and Australia-focused, but Phil has delivered offshore before — the banking assistant work for Westpac, BT and Standard Chartered included builds delivered in Hong Kong as well as Australia.", "latency_ms": 2602, "input_tokens": 5171, "output_tokens": 50, "cached_input_tokens": 4840, "cost_usd": 0.016263, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "the banking assistant work for Westpac, BT and Standard Chartered included builds delivered in Hong Kong as well as Australia", "accuracy_reason": "Ada names specific client organisations (Westpac, BT, Standard Chartered) in connection with offshore delivery, but the brief explicitly forbids naming those clients beyond the three listed.", "groundedness_reason": "The brief states Phil's banking work was delivered in Australia and Hong Kong, but Ada should not have named the specific organisations in this context.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that Tromp IT is Australian-based and focused, and that Phil has delivered offshore, specifically mentioning the banking assistant work in Hong Kong.", "groundedness_reason": "The answer directly reflects the information provided in the brief regarding work outside Australia." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief: Tromp IT is Australia-focused and Phil has delivered work offshore.", "groundedness_reason": "All assertions are directly supported by the brief and no extra claims were added." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer correctly states both parts of the brief's position on international work." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "EXP-015", "category": "Experience & Credentials", "category_id": "EXP", "question": "What's the cloud cost optimisation work actually involved in practice — can you give me a sense of the scale?", "ada_response": "The one engagement on record involved analysing an enterprise AWS environment in the financial services sector — so genuinely large-scale, not a small business tidy-up. The work covered usage and billing analysis, quantifying specific savings opportunities, and assessing the effort and risk involved in acting on each one, so the output was a prioritised view of what was actually worth changing rather than a raw list of inefficiencies.\n\nPhil delivered that engagement as a specialist within Araza's consulting team, which is a common working pattern for Tromp IT — embedded as an independent expert rather than as the prime contractor.\n\nIf you have a specific environment in mind, Phil is the right person to talk scope and approach — phil@trompit.com.au.", "latency_ms": 5943, "input_tokens": 5186, "output_tokens": 160, "cached_input_tokens": 4840, "cost_usd": 0.017958, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's cloud cost work are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports: it describes the one named engagement accurately, explains the working pattern, provides Phil's contact details appropriately, and defers scope discussion to Phil rather than overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "The one engagement on record involved analysing an enterprise AWS environment in the financial services sector — so genuinely large-scale, not a small business tidy-up. The work covered usage and billing analysis, quantifying specific savings opportunities, and assessing the effort and risk involved in acting on each one, so the output was a prioritised view of what was actually worth changing rat", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada's answer exceeds the two-to-four sentence hard ceiling specified in the brief, and includes a question at the end of an already complete answer, which the brief advises against." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims align with the brief's description of Tromp IT's cloud cost analysis work and the Araza engagement.", "groundedness_reason": "The reply stays within the brief and does not add unsupported capabilities or claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer correctly describes the single engagement and defers specifics to Phil." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gemini" ] }, { "id": "EXP-016", "category": "Experience & Credentials", "category_id": "EXP", "question": "Is Phil Robin's background more technical or more business-side?", "ada_response": "Phil's background is genuinely technical — 30-plus years in technology and analytics, with hands-on work in conversational AI, intent modelling, data pipelines, cloud infrastructure and evaluation frameworks. But the work has consistently been applied to real business problems, so he operates comfortably at both levels. That combination is actually central to what makes the evaluation work useful — he can assess what a system is doing technically and translate that into findings that mean something to the people who commissioned it.", "latency_ms": 4012, "input_tokens": 5176, "output_tokens": 104, "cached_input_tokens": 4840, "cost_usd": 0.017088, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "But the work has consistently been applied to real business problems, so he operates comfortably at both levels. That combination is actually central to what makes the evaluation work useful — he can assess what a system is doing technically and translate that into findings that mean something to the people who commissioned it.", "accuracy_reason": "Ada invents a specific claim about Phil's background that is not stated in the brief.", "groundedness_reason": "Ada attributes a characterization of Phil's approach to business problems that goes beyond what the brief establishes." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Claims (30+ years, technical focus on AI/analytics and related areas) match the brief.", "groundedness_reason": "All statements are supported by the brief's descriptions of Phil's experience, services and approach." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Phil's background are supported by the brief.", "groundedness_reason": "The answer describes Phil's experience and its application directly from the brief without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "EXP-017", "category": "Experience & Credentials", "category_id": "EXP", "question": "I'm trying to understand if this is a recently launched operation or something with a real track record — can you help?", "ada_response": "Tromp IT is Phil Robin's consultancy, and the track record behind it is substantial — over 30 years in technology and analytics. The work includes building medical triage chatbots for Medibank, tuning conversational AI models for Westpac and Standard Chartered Bank (delivered in Australia and Hong Kong), measuring Telstra's voice recognition systems in production, and analysing enterprise AWS environments for cost optimisation. The consultancy itself is focused on AI evaluation and analytics, which is where Phil is working now — but that focus sits on top of a long career, not at the start of one.", "latency_ms": 5074, "input_tokens": 5187, "output_tokens": 132, "cached_input_tokens": 4840, "cost_usd": 0.017541, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT, Phil's experience, and named client work are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports, citing only work explicitly listed in Selected experience and Phil's stated 30+ years of experience." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT and Phil Robin's experience are consistent with the brief.", "groundedness_reason": "The answer accurately reflects the track record and current focus of Tromp IT and Phil Robin, without overstating or inventing details." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All statements match the brief's descriptions of Phil's background, selected experience and Tromp IT's current focus.", "groundedness_reason": "The answer stays within the brief and does not assert capabilities or clients beyond those listed." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "building medical triage chatbots for Medibank", "accuracy_reason": "The answer incorrectly states Phil built a medical triage chatbot for Medibank.", "groundedness_reason": "The answer overclaims by implying a direct, hands-on build role for Phil.", "citation_review": [ "disputed_claim_largely_in_brief" ] } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.875, "accuracy_spread": 1.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "deepseek-v3.2" ] }, { "id": "EXP-018", "category": "Experience & Credentials", "category_id": "EXP", "question": "What industries has Tromp IT built up the most experience in?", "ada_response": "Honest answer: that's not something I can confirm from what I know about Tromp IT's work. The named experience spans financial services (Westpac, BT, Standard Chartered), healthcare (Medibank's Nurse on Call service) and telecommunications (Telstra) — but whether any of those represents a deliberate focus is a question best put to Phil directly at phil@trompit.com.au.", "latency_ms": 3736, "input_tokens": 5177, "output_tokens": 94, "cached_input_tokens": 4840, "cost_usd": 0.016941, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "The named experience spans financial services (Westpac, BT, Standard Chartered), healthcare (Medibank's Nurse on Call service) and telecommunications (Telstra)", "accuracy_reason": "Ada names client organisations (Westpac, BT, Standard Chartered) beyond what the brief permits.", "groundedness_reason": "The brief explicitly forbids naming client organisations beyond the three listed in Selected experience, and Ada has violated this boundary." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's experience are consistent with the brief.", "groundedness_reason": "The answer correctly states that it cannot confirm a deliberate focus and defers to Phil for further clarification, which aligns with the brief's instructions for handling unconfirmed capabilities." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The industries and client names listed match the Selected experience in the brief, and declining to state which is 'most' experienced is correct.", "groundedness_reason": "All assertions trace directly to the brief's Selected experience entries and the reply provides Phil's contact as the brief requires." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "The named experience spans financial services (Westpac, BT, Standard Chartered), healthcare (Medibank's Nurse on Call service) and telecommunications (Telstra)", "accuracy_reason": "The answer incorrectly states the brief confirms experience in healthcare.", "groundedness_reason": "The answer overclaims by presenting a list of industries as confirmed experience." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.5, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "deepseek-v3.2" ] }, { "id": "EXP-019", "category": "Experience & Credentials", "category_id": "EXP", "question": "Does Phil Robin hold any formal certifications or qualifications relevant to AI and cloud work?", "ada_response": "Certifications aren't something this brief covers, so I can't confirm what Phil holds. What I can say is that he has more than 30 years of practical experience in technology and analytics, with hands-on delivery across conversational AI, evaluation frameworks and cloud cost analysis — including work for organisations like Medibank, Telstra and Westpac. For anything specific about his credentials, phil@trompit.com.au is the right place to ask.", "latency_ms": 3857, "input_tokens": 5181, "output_tokens": 102, "cached_input_tokens": 4840, "cost_usd": 0.017073, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Phil and Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly declines to confirm certifications (not in brief), states what is known from the brief (30+ years experience, specific work areas), names three clients from the brief, and defers to Phil for credential details." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match what the brief states about Phil's experience and clients.", "groundedness_reason": "The answer sticks to what the brief allows and defers on certifications, giving Phil's contact for specifics." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "Answer correctly defers to Phil on an unconfirmed topic." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-020", "category": "Experience & Credentials", "category_id": "EXP", "question": "I've seen the Hoot platform mentioned — was that something Tromp IT built, or more of an advisory role?", "ada_response": "Phil played a key role in shaping the Hoot platform — contributing to its design, including the multi-judge evaluation frameworks and LLM-as-judge approaches it uses. But Hoot is Dirawong's platform, not Tromp IT's, and that work was delivered through Dirawong rather than directly by Tromp IT.\n\nWhere it's relevant, Phil can advise on whether Hoot suits a client's needs — but Tromp IT doesn't own, resell or implement it.", "latency_ms": 4077, "input_tokens": 5189, "output_tokens": 115, "cached_input_tokens": 4840, "cost_usd": 0.017292, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Hoot, Phil's role, and Tromp IT's relationship to the platform are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports, accurately distinguishing between Phil's design contribution and Dirawong's ownership, and correctly stating that Tromp IT does not own, resell or implement Hoot." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief about Phil's role with Hoot and that it was delivered via Dirawong, not Tromp IT.", "groundedness_reason": "The reply stays within the brief and does not add or imply capabilities beyond what is stated." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer correctly describes the advisory role and does not overclaim ownership or capability." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-021", "category": "Experience & Credentials", "category_id": "EXP", "question": "What's the most complex AI evaluation engagement Tromp IT has taken on?", "ada_response": "The Ada evaluation is probably the most fully documented — one 189-question test set run against seven model backends, with every answer scored independently by a four-model judge panel, and every tool call verified in code against what the runtime actually did rather than what the reply claimed. The published comparison covers accuracy, groundedness, latency and cost per thousand conversations, and it's linked from the site if you want to see how it's structured.", "latency_ms": 4066, "input_tokens": 5179, "output_tokens": 93, "cached_input_tokens": 4840, "cost_usd": 0.016932, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the Ada evaluation are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports, citing specific details from the Selected experience section about Ada." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the Ada evaluation are consistent with the brief.", "groundedness_reason": "The answer accurately describes the Ada evaluation as detailed in the brief without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer repeats details stated in the brief about the Ada evaluation.", "groundedness_reason": "All claims are directly supported by the Selected experience description in the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims are directly supported by the brief.", "groundedness_reason": "The answer describes a documented project without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-022", "category": "Experience & Credentials", "category_id": "EXP", "question": "Is Tromp IT affiliated with any of the major cloud providers — AWS, Azure, Google?", "ada_response": "Tromp IT is vendor-independent — no affiliations, reseller arrangements or certifications with AWS, Azure or Google. The point is to measure whether AI systems are working, not to advocate for a platform.\n\nPhil does have hands-on AWS experience from cloud cost optimisation work, and the AI evaluation work covers systems built on any platform. That independence is deliberate — it's what makes the findings credible.", "latency_ms": 3556, "input_tokens": 5183, "output_tokens": 90, "cached_input_tokens": 4840, "cost_usd": 0.016899, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's vendor independence, AWS experience, and platform-agnostic evaluation capability are supported by the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately representing the positioning statement and Phil's demonstrated AWS experience from cloud cost analysis work." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer stays within the information provided in the brief without overclaiming." }, "gpt-5-mini": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Tromp IT is vendor-independent — no affiliations, reseller arrangements or certifications with AWS, Azure or Google.", "accuracy_reason": "The reply correctly states vendor-independence and Phil's AWS experience but asserts 'no ... certifications' which the brief does not state.", "groundedness_reason": "Most claims trace to the brief, but declaring an absence of certifications oversteps what the brief specifies." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims are consistent with the brief.", "groundedness_reason": "Answer stays within the brief's stated positioning and experience." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.875, "accuracy_spread": 1.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gpt-5-mini" ] }, { "id": "EXP-023", "category": "Experience & Credentials", "category_id": "EXP", "question": "How did Tromp IT come to work with a company like Medibank — was that a referral, a tender, something else?", "ada_response": "That's a question Phil would be much better placed to answer — how specific engagements come about isn't something I have detail on, and I wouldn't want to guess at it.\n\nWhat I can tell you is that the Medibank work involved building a medical triage chatbot for the Nurse on Call service using Cognigy, alongside an automated conversational testing platform. If the background story matters for your purposes, phil@trompit.com.au is the right address — he can speak to it directly.", "latency_ms": 4216, "input_tokens": 5192, "output_tokens": 113, "cached_input_tokens": 4840, "cost_usd": 0.017271, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the Medibank engagement are consistent with the brief.", "groundedness_reason": "Ada correctly defers on the question she cannot answer from the brief, accurately states what she does know about the Medibank work, and provides Phil's contact details for follow-up." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer correctly defers to Phil for information not in the brief and provides only details that are explicitly stated." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims (deferral to Phil, Medibank work description, and Phil's email) match the brief.", "groundedness_reason": "The reply stays within the brief, defers on unknown details, and provides the contact address as the brief requires." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the Medibank work are correct per the brief.", "groundedness_reason": "The answer correctly defers on unstated details and stays within the brief's scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-024", "category": "Experience & Credentials", "category_id": "EXP", "question": "Has Phil Robin published anything — papers, articles, conference talks — that I could look at to gauge his expertise?", "ada_response": "The published work I can point to directly is the Ada evaluation report — it's linked from this website. Phil ran a 189-question test set against seven model backends, scored every answer with a four-model judge panel, and checked every tool call in code against what the runtime actually did. It covers accuracy, groundedness, latency and cost per thousand conversations, and it reports the questions the panel couldn't agree on rather than resolving them quietly.\n\nFor papers, conference talks or other publications beyond that, I can't confirm what exists — Phil is the right person to ask, and you can reach him at phil@trompit.com.au.", "latency_ms": 5773, "input_tokens": 5186, "output_tokens": 139, "cached_input_tokens": 4840, "cost_usd": 0.017643, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the Ada evaluation report and Phil's work are consistent with the brief.", "groundedness_reason": "Ada correctly describes the published Ada evaluation work in detail, honestly defers on papers and conference talks, and provides Phil's contact email without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the Ada evaluation report are consistent with the brief.", "groundedness_reason": "The answer accurately describes the Ada evaluation report and defers to Phil for other publications, staying within the brief's scope." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer's claims about the Ada evaluation report and deferring other publications to Phil match the brief.", "groundedness_reason": "All statements trace directly to the brief and no unsupported claims were made." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the Ada report are correct per the brief.", "groundedness_reason": "Answer correctly defers to Phil for unconfirmed publications." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-025", "category": "Experience & Credentials", "category_id": "EXP", "question": "What was the banking work actually about — were you evaluating those assistants or helping build them?", "ada_response": "The banking work was on the build side — Phil worked as a data scientist tuning conversational language and intent models for assistants at Westpac, BT and Standard Chartered Bank. The focus was intent classification, model performance and language coverage, with some of that work delivered in Hong Kong as well as Australia. Evaluation as a distinct discipline — independent testing, failure analysis, judge frameworks — is where Tromp IT is focused now.", "latency_ms": 4051, "input_tokens": 5183, "output_tokens": 95, "cached_input_tokens": 4840, "cost_usd": 0.016974, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the banking work and Phil's role are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports, accurately describes the banking work as build-side (tuning models, intent classification), names the three clients listed, mentions Hong Kong delivery, and correctly positions evaluation as Tromp IT's current focus." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Matches the brief's description of Phil's work on enterprise banking assistants.", "groundedness_reason": "All assertions are directly supported by the brief and add no unsupported details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer correctly describes the work and distinguishes it from current focus." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-026", "category": "Experience & Credentials", "category_id": "EXP", "question": "What did Phil actually do at Telstra?", "ada_response": "Phil was brought in as an analytics consultant to build the data models that measured how Telstra's voice recognition systems performed in production — not lab scores, but what actually happened when real callers used them. That distinction matters: production behaviour and benchmark performance often diverge, and the work was about making that gap visible.", "latency_ms": 4094, "input_tokens": 5173, "output_tokens": 68, "cached_input_tokens": 4840, "cost_usd": 0.016539, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "That distinction matters: production behaviour and benchmark performance often diverge, and the work was about making that gap visible.", "accuracy_reason": "All factual claims about Phil's work at Telstra are consistent with the brief.", "groundedness_reason": "Ada adds interpretive commentary ('That distinction matters: production behaviour and benchmark performance often diverge') that goes beyond what the brief states about the Telstra engagement." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately describes Phil's work at Telstra as detailed in the brief.", "groundedness_reason": "The answer stays within the information provided in the brief regarding Phil's work at Telstra." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's description of Phil's role at Telstra exactly.", "groundedness_reason": "All claims are directly supported by the brief and do not add unsupported details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief exactly.", "groundedness_reason": "The answer is a direct, precise restatement of the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "EXP-027", "category": "Experience & Credentials", "category_id": "EXP", "question": "Who is Dirawong, and what's their relationship with Tromp IT?", "ada_response": "Dirawong is the consulting and delivery firm through which Phil delivered several of the engagements listed on the Tromp IT site — including the Medibank triage chatbot work, the banking assistant projects, and the Hoot platform work. Phil also played a key role in shaping Dirawong's Hoot platform (hoothoot.ai), an enterprise AI testing and validation product, though Tromp IT doesn't own, build, resell or implement it.\n\nTromp IT's own engagements are delivered directly or as a specialist subcontractor within teams like Dirawong's — that's the relationship in a sentence.", "latency_ms": 5288, "input_tokens": 5181, "output_tokens": 143, "cached_input_tokens": 4840, "cost_usd": 0.017688, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Dirawong is the consulting and delivery firm through which Phil delivered several of the engagements listed on the Tromp IT site — including the Medibank triage chatbot work, the banking assistant projects, and the Hoot platform work.", "accuracy_reason": "Ada incorrectly attributes the Medibank and banking assistant work to Dirawong delivery, when the brief states these were delivered through Dirawong but does not say Dirawong is the firm through which Phil delivered them.", "groundedness_reason": "Ada overstates the relationship and misrepresents which engagements were delivered through Dirawong versus directly by Tromp IT.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All statements match the brief about Dirawong's role and Phil's involvement with the Hoot platform.", "groundedness_reason": "The reply stays within the brief and does not add or infer unsupported details.", "citation_review": [ "brief_quote_not_verbatim" ] }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer stays within the details provided in the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "EXP-028", "category": "Experience & Credentials", "category_id": "EXP", "question": "Does Tromp IT own Hoot?", "ada_response": "No — Hoot (hoothoot.ai) is Dirawong's platform, not Tromp IT's. Phil played a key role in shaping it, including its multi-judge evaluation frameworks and LLM-as-judge approaches, but he doesn't own, build, resell or implement it. If a client's needs point toward ongoing, structured testing at scale, Phil can advise on whether Hoot is the right fit — without any commercial stake in the answer.", "latency_ms": 4359, "input_tokens": 5173, "output_tokens": 107, "cached_input_tokens": 4840, "cost_usd": 0.017124, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Hoot, Dirawong, and Phil's role are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately describing Phil's involvement in shaping Hoot without overstating his ownership or commercial interest, and correctly positioning his advisory role." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief about Hoot and Phil's role.", "groundedness_reason": "Every assertion is directly supported by the brief and makes no unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer correctly states the relationship and defers to Phil for advice without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-029", "category": "Experience & Credentials", "category_id": "EXP", "question": "Has Tromp IT ever evaluated its own AI assistant?", "ada_response": "Yes — Ada (the assistant you're talking to right now) is a published evaluation case study. One 189-question test set was run against seven different model backends, with every answer marked by a four-model judge panel, and every tool call verified in code against what the runtime actually did. The published comparison covers accuracy, groundedness, latency and cost per thousand conversations — and it reports the questions the panel couldn't agree on rather than resolving them quietly. It's linked from the Tromp IT website if you want to see how it's structured.", "latency_ms": 4356, "input_tokens": 5175, "output_tokens": 119, "cached_input_tokens": 4840, "cost_usd": 0.01731, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Ada and the evaluation are consistent with the brief.", "groundedness_reason": "The answer stays entirely within what the brief supports, citing the specific evaluation methodology, metrics, and publication." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's evaluation of Ada are consistent with the brief.", "groundedness_reason": "The answer stays entirely within the information provided in the brief regarding Ada's evaluation." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's description of the Ada evaluation.", "groundedness_reason": "The answer sticks to only claims stated in the brief and adds no unsupported details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief.", "groundedness_reason": "Answer is fully supported by the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "FIT-001", "category": "Fit Assessment", "category_id": "FIT", "question": "We've built a RAG chatbot — can you help?", "ada_response": "Yes — evaluating RAG systems is a core part of what Tromp IT does. The typical failure points are retrieval quality, answer groundedness, and how the system behaves when the retrieved context doesn't actually contain the answer.\n\nPhil Robin, who runs Tromp IT, has done this kind of work across a range of conversational AI systems — including a published evaluation of Ada, the assistant you're talking to right now, which covers accuracy, groundedness and cost across multiple model backends.\n\nWhat's the chatbot for, and what's prompting the evaluation — is it pre-launch validation, something that's already in production, or a specific failure you're trying to diagnose?", "latency_ms": 4828, "input_tokens": 5176, "output_tokens": 148, "cached_input_tokens": 4840, "cost_usd": 0.017748, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil Robin, who runs Tromp IT, has done this kind of work across a range of conversational AI systems", "accuracy_reason": "Ada claims Phil has done evaluation work on RAG systems across a range of conversational AI systems, but the brief does not establish this as a general practice or track record.", "groundedness_reason": "Ada overstates Phil's RAG evaluation experience by implying broad work across multiple RAG systems, when the brief only confirms RAG evaluation as a service offering and mentions Ada itself as a published demonstration, not a pattern of RAG client work.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "What's the chatbot for, and what's prompting the evaluation — is it pre-launch validation, something that's already in production, or a specific failure you're trying to diagnose?", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer includes a question that is too long and contains multiple clauses, violating the instruction to ask only one question at a time and keep sentences short." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims align with the brief: RAG evaluation is a core service and the published Ada evaluation is listed under Selected experience.", "groundedness_reason": "The answer stays within the brief’s scope and does not assert capabilities or facts beyond what the brief provides." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and Phil's work are correct per the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately describing the service and deferring further detail to a question." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "gemini" ] }, { "id": "FIT-002", "category": "Fit Assessment", "category_id": "FIT", "question": "We use Azure OpenAI — is that a problem?", "ada_response": "Not at all — Tromp IT's evaluation work is platform-independent. Phil has evaluated AI systems built on AWS, Azure, OpenAI, Anthropic and other platforms, and the methods (test set design, failure analysis, LLM-as-judge frameworks) work regardless of where the model is hosted.\n\nWhat kind of system are you looking to evaluate?", "latency_ms": 3072, "input_tokens": 5175, "output_tokens": 81, "cached_input_tokens": 4840, "cost_usd": 0.01674, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "What kind of system are you looking to evaluate?", "accuracy_reason": "All factual claims about Tromp IT's platform-independence and evaluation methods are accurate and supported by the brief.", "groundedness_reason": "The answer correctly addresses the visitor's question but then asks a follow-up question that violates the brief's instruction against asking questions as a habit or padding. The brief states: 'Ask a question only when you genuinely cannot give a useful answer without one — not as a habit and not as", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the information provided in the brief without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The brief states Tromp IT can assess AI applications regardless of platform, matching Ada's claim.", "groundedness_reason": "Ada's mention of evaluation methods and platform-independence is directly supported by the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and traceable to the brief.", "groundedness_reason": "The answer stays within the brief's stated capabilities and positioning." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "FIT-003", "category": "Fit Assessment", "category_id": "FIT", "question": "We need someone urgently, are you available?", "ada_response": "Phil is the person to ask about availability and timing — that's not something I can commit to on his behalf.\n\nIf you can share a little about what you need, I can tell you whether it's the kind of work Tromp IT does and help Phil understand the situation before he gets back to you. What's the problem you're trying to solve?", "latency_ms": 3535, "input_tokens": 5173, "output_tokens": 77, "cached_input_tokens": 4840, "cost_usd": 0.016674, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "If you can share a little about what you need, I can tell you whether it's the kind of work Tromp IT does and help Phil understand the situation before he gets back to you. What's the problem you're trying to solve?", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly declines to commit on Phil's behalf, but then asks a question when the brief instructs that questions should only be asked when genuinely necessary and that trailing questions are padding—the default ending should be a plain statement.", "citation_review": [ "brief_quote_not_verbatim", "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that Phil handles availability and timing, and that Ada cannot commit on his behalf.", "groundedness_reason": "The answer correctly defers questions about availability to Phil and offers to help understand the client's needs, which aligns with Ada's role." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly defers availability decisions to Phil and avoids committing on Tromp IT's behalf.", "groundedness_reason": "The answer stays within the brief and asks for relevant information to judge fit without overclaiming." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "Answer correctly defers to Phil and asks a clarifying question within scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "FIT-004", "category": "Fit Assessment", "category_id": "FIT", "question": "We're a small startup, do you work with companies our size?", "ada_response": "Engagement size isn't a barrier — Phil has worked with both large corporations and small companies. If anything, a focused engagement with a startup can move quickly because there's less organisational complexity to navigate. What's the problem you're trying to solve?", "latency_ms": 3295, "input_tokens": 5177, "output_tokens": 54, "cached_input_tokens": 4840, "cost_usd": 0.016341, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "a focused engagement with a startup can move quickly because there's less organisational complexity to navigate", "accuracy_reason": "All factual claims about Tromp IT's client size are accurate and supported by the brief.", "groundedness_reason": "The answer adds interpretive reasoning ('less organisational complexity to navigate') that goes beyond what the brief states about small company engagements." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "If anything, a focused engagement with a startup can move quickly because there's less organisational complexity to navigate.", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The statement about startups moving quickly due to less complexity is an inference not directly supported by the brief, even if it's a reasonable assumption." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "If anything, a focused engagement with a startup can move quickly because there's less organisational complexity to navigate.", "accuracy_reason": "The claim that engagement size isn't a barrier and Phil has worked with both large and small companies matches the brief.", "groundedness_reason": "The sentence about startups moving quickly is an unstated inference not contained in the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "If anything, a focused engagement with a startup can move quickly because there's less organisational complexity to navigate.", "accuracy_reason": "All factual claims about Tromp IT are correct.", "groundedness_reason": "Answer adds an unsupported positive implication about startups." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.5, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 0, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "fail", "dissenting_judges": [ "claude-haiku-4-5", "gemini", "gpt-5-mini", "deepseek-v3.2" ] }, { "id": "FIT-005", "category": "Fit Assessment", "category_id": "FIT", "question": "Our AI is embedded in a regulated healthcare product — do you have experience evaluating systems where safety and compliance matter as much as performance?", "ada_response": "Phil has direct experience in healthcare AI — he built a medical triage chatbot for Medibank's Nurse on Call service, which is about as high-stakes as conversational AI gets. That work involved Cognigy and an automated conversational testing platform, so the evaluation rigour came with the territory.\n\nAI Evaluation & Testing is Tromp IT's core service, and the four-step process — Understand, Define, Evaluate, Recommend — is designed to agree exactly what evidence you need before any testing begins, which matters a lot when compliance is part of the picture.\n\nOn safety and bias testing specifically, I'd want to be honest: those aren't terms I can confirm as defined capabilities from what I have in front of me, so Phil is the right person to talk to about how they'd fit your particular requirements.\n\nWhat system are you evaluating — is it a chatbot, a RAG pipeline, something agentic?", "latency_ms": 6678, "input_tokens": 5190, "output_tokens": 203, "cached_input_tokens": 4840, "cost_usd": 0.018615, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "the evaluation rigour came with the territory", "accuracy_reason": "Ada claims Tromp IT has defined capabilities in safety and bias testing that the brief does not support, and invents a service detail not stated.", "groundedness_reason": "Ada overstates what the brief confirms about healthcare evaluation capability and makes commitments about what Phil can address that go beyond the brief's scope." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Phil has direct experience in healthcare AI — he built a medical triage chatbot for Medibank's Nurse on Call service, which is about as high-stakes as conversational AI gets. That work involved Cognigy and an automated conversational testing platform, so the evaluation rigour came with the territory.\n\nAI Evaluation & Testing is Tromp IT's core service, and the four-step process — Understand, Defin", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer is slightly over the sentence limit and includes a question at the end of an otherwise complete answer, which the brief advises against.", "citation_review": [ "brief_quote_not_verbatim" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's Selected experience and services.", "groundedness_reason": "The reply stays within the brief and correctly defers on safety/bias capabilities as instructed." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Phil has direct experience in healthcare AI — he built a medical triage chatbot for Medibank's Nurse on Call service", "accuracy_reason": "The answer incorrectly states Phil built the chatbot for Medibank.", "groundedness_reason": "The answer implies a defined capability in safety/compliance evaluation that the brief does not support.", "citation_review": [ "disputed_claim_largely_in_brief" ] } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.5, "avg_groundedness": 0.5, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 1, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "fail", "dissenting_judges": [ "claude-haiku-4-5", "gemini", "deepseek-v3.2" ] }, { "id": "FIT-006", "category": "Fit Assessment", "category_id": "FIT", "question": "We're a government agency, so any vendor needs to go through a procurement process. Is that something Tromp IT can accommodate?", "ada_response": "Procurement processes are a normal part of working with government clients, and it's not something that would rule Tromp IT out. The best person to speak to about the specifics — panel arrangements, SOW structures, subcontracting pathways — is Phil directly at phil@trompit.com.au.\n\nIf it's helpful, I'm happy to take your details so Phil can reach out and have that conversation with you.", "latency_ms": 3808, "input_tokens": 5190, "output_tokens": 94, "cached_input_tokens": 4840, "cost_usd": 0.01698, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Procurement processes are a normal part of working with government clients, and it's not something that would rule Tromp IT out.", "accuracy_reason": "Ada claims Tromp IT works with government clients, but the brief states Tromp IT works with Australian organisations and does not mention government as a client sector.", "groundedness_reason": "Ada invents a capability and track record (government procurement experience) not stated in the brief, and makes an implicit commitment on Phil's behalf by suggesting he can accommodate procurement processes." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states that procurement does not automatically rule Tromp IT out and gives Phil's contact phil@trompit.com.au as in the brief.", "groundedness_reason": "All assertions map to the brief (Tromp IT works with organisations and as a subcontractor, and the brief lists Phil's contact)." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about Tromp IT's operations are consistent with the brief.", "groundedness_reason": "The answer correctly defers specifics to Phil and offers to take details, staying within the brief's boundaries." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "FIT-007", "category": "Fit Assessment", "category_id": "FIT", "question": "We've got an internal LLM running on-premises with no cloud connectivity. Can you still evaluate it?", "ada_response": "Yes — the evaluation can be designed to work within that constraint. Phil has handled sensitive environments before, and the approach is to build the evaluation architecture around the client's infrastructure rather than pulling data out of it.\n\nIn practice that means the test design, tooling and judge framework run inside your environment rather than routing anything externally. The specifics would need to be scoped with Phil directly, since the right approach depends on what the system does and what access is feasible.\n\nIf you'd like Phil to follow up, I'm happy to take your details — or you can reach him at phil@trompit.com.au.", "latency_ms": 5064, "input_tokens": 5186, "output_tokens": 134, "cached_input_tokens": 4840, "cost_usd": 0.017568, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's capabilities and approach are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, correctly describes the evaluation architecture approach for sensitive environments, appropriately defers specifics to Phil, and offers contact details without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "In practice that means the test design, tooling and judge framework run inside your environment rather than routing anything externally.", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada implies that the 'test design, tooling and judge framework' can run inside the client's environment, which is a slight overclaim beyond the brief's statement that 'evaluation can be designed to operate within the client's existing security and infrastructure controls'." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief about designing evaluations to fit client infrastructure and Phil's relevant experience.", "groundedness_reason": "The reply stays within the brief by deferring specifics to Phil and describing an evaluation architecture that operates inside the client's environment." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's capabilities are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's supported scope and defers specifics to Phil appropriately." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gemini" ] }, { "id": "FIT-008", "category": "Fit Assessment", "category_id": "FIT", "question": "We're not building AI ourselves — we're buying an off-the-shelf tool and want someone to pressure-test it before we sign the contract. Is that in scope for you?", "ada_response": "That's exactly the kind of work Tromp IT does — evaluating a system before commitment, not after. Phil's background is in independent AI evaluation, which means assessing what a system actually does rather than taking the vendor's word for it.\n\nThe typical shape of that engagement would be: agree what \"good enough\" looks like for your use case, design a test set that reflects real conditions, run the evaluation, and give you clear findings before you're locked in. That maps directly to Tromp IT's AI Evaluation & Testing service.\n\nWhat kind of tool is it — a chatbot, a document or RAG system, something else?", "latency_ms": 5309, "input_tokens": 5201, "output_tokens": 139, "cached_input_tokens": 4840, "cost_usd": 0.017688, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "The typical shape of that engagement would be: agree what \"good enough\" looks like for your use case, design a test set that reflects real conditions, run the evaluation, and give you clear findings before you're locked in.", "accuracy_reason": "Ada claims Phil's background is in 'independent AI evaluation' as a general characterization, but then describes a four-step engagement process (agree what good enough looks like, design test set, run evaluation, give findings) as 'the typical shape of that engagement' without establishing that this", "groundedness_reason": "Ada invents a process flow ('agree what good enough looks like... design a test set... run the evaluation... give findings') and presents it as Tromp IT's standard engagement shape without grounding it in the brief. The brief describes a four-step process (Understand, Define, Evaluate, Recommend) bu", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's description of Tromp IT's AI Evaluation service and Phil's expertise.", "groundedness_reason": "The answer stays within the brief, mapping the engagement to test-set design and the four-step evaluation process and asking an appropriate clarifying question." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and process are correct.", "groundedness_reason": "The answer stays within the brief's description of services and process." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "FIT-009", "category": "Fit Assessment", "category_id": "FIT", "question": "Our team is spread across Sydney, Singapore and London. Does Tromp IT work across time zones or is this pretty Melbourne-centric?", "ada_response": "Tromp IT is based in Melbourne and focused on Australian engagements — that's the honest answer. Phil has delivered work offshore before, including banking assistant projects in Hong Kong, so international collaboration isn't foreign territory, but Tromp IT's current practice is Australia-focused.\n\nPractically speaking, a lot of evaluation and analytics work can be done asynchronously — test design, analysis and reporting don't require everyone on a call at the same time. Whether the time-zone spread across Sydney, Singapore and London is workable for what you have in mind is really a conversation for Phil. What's the problem you're trying to solve?", "latency_ms": 4665, "input_tokens": 5192, "output_tokens": 136, "cached_input_tokens": 4840, "cost_usd": 0.017616, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief: Melbourne-based, Australia-focused, Phil's prior offshore work in Hong Kong, and the nature of evaluation work.", "groundedness_reason": "Ada stays within the brief's scope: states the positioning accurately, acknowledges Phil's history without overstating current practice, notes that async work is possible, and defers the specific feasibility question to Phil rather than committing." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Practically speaking, a lot of evaluation and analytics work can be done asynchronously — test design, analysis and reporting don't require everyone on a call at the same time.", "accuracy_reason": "All factual claims about Tromp IT and Phil's experience are consistent with the brief.", "groundedness_reason": "The answer speculates about the asynchronous nature of evaluation and analytics work, which is not explicitly stated in the brief as a characteristic of Tromp IT's delivery model, even if it's generally true." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims (Melbourne base, Australia-focused, Phil's offshore work including Hong Kong) match the brief.", "groundedness_reason": "The reply stays within the brief and does not assert capabilities beyond what is stated." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about location and past work are correct.", "groundedness_reason": "Answer stays within the brief's statements and defers appropriately." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gemini" ] }, { "id": "FIT-010", "category": "Fit Assessment", "category_id": "FIT", "question": "We already have an in-house data science team. Would you work alongside them, or does that get complicated?", "ada_response": "Working alongside an in-house team is actually the more common situation — it rarely gets complicated. Phil typically comes in as a specialist layer on top of what the team already does, focused specifically on evaluation rigour: test set design, failure analysis, and making sure the scoring methodology holds up to scrutiny.\n\nThe practical split tends to be that the internal team knows the system and the domain, while Tromp IT brings independence and structured evaluation methods they may not have the bandwidth or specific tooling for.\n\nIf it's useful, I'm happy to talk through what you're working on — that would help me say more concretely where the overlap might be.", "latency_ms": 4755, "input_tokens": 5186, "output_tokens": 139, "cached_input_tokens": 4840, "cost_usd": 0.017643, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil typically comes in as a specialist layer on top of what the team already does, focused specifically on evaluation rigour", "accuracy_reason": "Ada attributes a view to Phil ('Phil typically comes in as...') that is not stated in the brief and violates the explicit instruction not to invent Phil's preferences or recommendations.", "groundedness_reason": "Ada invents substantive detail about how Phil works and positions himself relative to internal teams, making commitments about his role and approach that exceed what the brief supports." }, "gemini": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil typically comes in as a specialist layer on top of what the team already does, focused specifically on evaluation rigour: test set design, failure analysis, and making sure the scoring methodology holds up to scrutiny. The practical split tends to be that the internal team knows the system and the domain, while Tromp IT brings independence and structured evaluation methods they may not have t", "accuracy_reason": "The answer attributes a 'typical' approach to Phil that is not supported by the brief, and invents a 'practical split' in responsibilities.", "groundedness_reason": "The answer invents details about how Phil 'typically' works and a 'practical split' in team responsibilities that are not in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the brief about Tromp IT working alongside teams and offering independent evaluation services like test design and failure analysis.", "groundedness_reason": "The reply stays within the brief’s scope, names Phil, and does not assert unsupported capabilities or commitments." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Phil typically comes in as a specialist layer on top of what the team already does", "accuracy_reason": "The brief does not state that working alongside an in-house team is the more common situation.", "groundedness_reason": "The answer implies a typical pattern and attributes a typical recommendation to Phil, which the brief does not support.", "citation_review": [ "disputed_claim_largely_in_brief" ] } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.25, "avg_groundedness": 0.375, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 1, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "fail", "dissenting_judges": [ "claude-haiku-4-5", "gemini", "deepseek-v3.2" ] }, { "id": "FIT-011", "category": "Fit Assessment", "category_id": "FIT", "question": "We're a mid-sized retailer experimenting with AI-driven product recommendations. Not a tech company at all — would we be too far outside your usual clientele?", "ada_response": "Not at all — Tromp IT has worked with organisations across financial services, healthcare and telco, so the sector isn't the deciding factor. What matters is whether there's an AI system that needs rigorous, independent evaluation.\n\nThe honest answer on recommendations specifically: evaluating recommendation systems isn't something I can confirm as established Tromp IT capability, so Phil is the right person to answer that directly. What Phil does do very well is assess whether an AI system is actually performing — measuring output quality, failure modes and business outcomes rather than just headline metrics.\n\nIf you're at the stage of \"is this thing working, and how would we even know?\", that's exactly the kind of question Tromp IT is built to answer. Would it help to share a bit more about what you're trying to evaluate, so I can tell you where the fit is strongest?", "latency_ms": 5580, "input_tokens": 5198, "output_tokens": 183, "cached_input_tokens": 4840, "cost_usd": 0.018339, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Tromp IT has worked with organisations across financial services, healthcare and telco", "accuracy_reason": "Ada claims Tromp IT has worked with healthcare, but the brief lists only financial services, telco, and banking—no healthcare client is mentioned.", "groundedness_reason": "Ada invents a healthcare sector engagement not stated in the brief, and then overclaims capability on recommendation systems by implying it may be within scope when the brief explicitly forbids affirming capability outside stated services." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "What Phil does do very well is assess whether an AI system is actually performing — measuring output quality, failure modes and business outcomes rather than just headline metrics.", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer implies a stronger capability in 'AI Usage & Optimisation' for recommendation systems than the brief explicitly states, even though it correctly defers on 'evaluation' of them.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Claims about sectors served, evaluation strengths, and deferring recommendation-system capability match the brief.", "groundedness_reason": "The answer stays within the brief and appropriately defers the unsettled capability to Phil." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Tromp IT has worked with organisations across financial services, healthcare and telco", "accuracy_reason": "The answer claims Tromp IT has worked with healthcare clients, which is not supported by the brief.", "groundedness_reason": "The answer implies broader sector experience than the brief explicitly lists." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.5, "avg_groundedness": 0.5, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 1, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "fail", "dissenting_judges": [ "claude-haiku-4-5", "gemini", "deepseek-v3.2" ] }, { "id": "FIT-012", "category": "Fit Assessment", "category_id": "FIT", "question": "We need an evaluation done but we only have about three weeks before a board presentation. Is that a realistic timeframe?", "ada_response": "Three weeks is tight but not automatically ruled out — it depends on what's being evaluated and how clearly the scope can be defined upfront. Phil's engagements follow a structured process (Understand, Define, Evaluate, Recommend), and the Define step is what makes or breaks a short timeline: if you can get to agreed scope and test data quickly, the evaluation itself can move fast.\n\nWhat system are you looking to evaluate?", "latency_ms": 3691, "input_tokens": 5187, "output_tokens": 93, "cached_input_tokens": 4840, "cost_usd": 0.016956, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process and approach are consistent with the brief.", "groundedness_reason": "The answer stays within the brief: it references the four-step process (Understand, Define, Evaluate, Recommend), acknowledges that scope definition is critical to timeline feasibility, and appropriately asks a clarifying question without overcommitting or inventing details about pricing or guarante" }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the scope of the brief, explaining the process and asking a clarifying question without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply accurately reflects Tromp IT's four-step process and the importance of scoping for short timelines.", "groundedness_reason": "The answer stays within the brief, names Phil and cites the Understand/Define/Evaluate/Recommend workflow without adding unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process and timeline are consistent with the brief.", "groundedness_reason": "The answer stays within the brief, does not overclaim, and appropriately asks a clarifying question." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "FIT-013", "category": "Fit Assessment", "category_id": "FIT", "question": "We're a consultancy ourselves and we're looking for someone to white-label evaluation work for our clients. Is that a conversation worth having?", "ada_response": "Yes — that's exactly the kind of arrangement Tromp IT works within. Phil has delivered evaluation and analytics work as a specialist subcontractor inside other consulting and delivery teams, so operating under your brand rather than his own is familiar territory.\n\nThe most useful next step is probably a direct conversation with Phil. If you share your name, email and phone number, I can make sure he has your details and the context of what you're looking for.", "latency_ms": 3743, "input_tokens": 5192, "output_tokens": 95, "cached_input_tokens": 4840, "cost_usd": 0.017001, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's service model are accurate and supported by the brief.", "groundedness_reason": "The answer stays within the brief's scope, correctly identifies white-label/subcontractor work as established practice, and appropriately defers pricing and commitment decisions to Phil." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT works as a specialist subcontractor and that Phil has delivered such work.", "groundedness_reason": "Everything asserted is supported by the brief and it does not overclaim or commit Tromp IT to anything." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's description of engagement modes." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "FIT-014", "category": "Fit Assessment", "category_id": "FIT", "question": "Our use case is AI-generated code review inside a developer platform. Is that too niche or is it something you'd take on?", "ada_response": "Not too niche at all — the core question is whether the AI is doing what you need it to do, and that's exactly the kind of problem Phil Robin at Tromp IT is built to work on.\n\nThe evaluation approach would likely focus on things like whether the generated reviews are accurate, grounded in the actual code, and consistent across similar inputs — which maps directly to the AI Evaluation & Testing service. The starting point would be defining what \"a good code review\" looks like for your platform, then building test cases that can reveal where the system fails or hedges when it shouldn't.\n\nWhat does your current setup look like — are you trying to baseline performance before a release, or is this more about diagnosing something that's already in production?", "latency_ms": 5434, "input_tokens": 5191, "output_tokens": 161, "cached_input_tokens": 4840, "cost_usd": 0.017988, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "The evaluation approach would likely focus on things like whether the generated reviews are accurate, grounded in the actual code, and consistent across similar inputs — which maps directly to the AI Evaluation & Testing service. The starting point would be defining what \"a good code review\" looks like for your platform, then building test cases that can reveal where the system fails or hedges whe", "accuracy_reason": "Ada invents a service capability not stated in the brief and makes an unsupported claim about evaluation approach.", "groundedness_reason": "Ada overclaims by describing a specific evaluation methodology and focus areas for code review that are not established in the brief as part of Tromp IT's work." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer correctly identifies the relevant service and outlines a plausible approach based on the brief's description of AI evaluation." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly links the visitor's need to Tromp IT's AI evaluation focus and names the AI Evaluation & Testing service, which the brief lists.", "groundedness_reason": "The suggested approach (define success criteria, build test cases, assess accuracy/grounding/consistency) is directly supported by the brief's description of AI Evaluation & Testing and the four-step process." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and approach are correct.", "groundedness_reason": "The answer stays within the brief's description of services and method." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "FIT-015", "category": "Fit Assessment", "category_id": "FIT", "question": "We have a pretty tight budget — probably not enterprise scale. Do you have flexible engagement models or is there a minimum spend?", "ada_response": "Tromp IT doesn't publish minimum spend or standard tiers — every engagement is scoped individually based on what the problem actually needs. Phil has worked with both large organisations and small ones, so size isn't a barrier either way.\n\nThe most practical thing is usually a focused scope: a well-defined question, a bounded system, agreed deliverables. That keeps effort — and cost — proportionate to what you actually need answered.\n\nIf you want to share a bit about what you're trying to evaluate or measure, I can give you a better sense of whether it's a good fit, and you're welcome to reach out to Phil directly at phil@trompit.com.au to talk specifics.", "latency_ms": 4916, "input_tokens": 5188, "output_tokens": 151, "cached_input_tokens": 4840, "cost_usd": 0.017829, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement model, flexibility, and client size are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope: it correctly states engagements are scoped individually, that size is not a barrier, and appropriately declines to quote pricing while offering Phil's contact details for specifics." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada's answer is well-grounded in the brief, not overclaiming or inventing details." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief: engagements are scoped individually, Phil works with large and small organisations, and phil@trompit.com.au is the contact.", "groundedness_reason": "All assertions are supported by the brief and no unsupported services, prices or commitments are claimed." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's statements and defers appropriately." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "FIT-016", "category": "Fit Assessment", "category_id": "FIT", "question": "The model we're using changes frequently because we're on a third-party API that updates without warning. Would that make a proper evaluation pointless?", "ada_response": "Not at all — it actually makes evaluation more important, not less. If the model underneath can change without notice, you need a way to detect when behaviour has shifted, which is exactly what a repeatable test set gives you.\n\nPhil has done this kind of work directly: the published Ada evaluation ran the same question set across seven different model backends and compared them on accuracy, groundedness, latency and cost. That's a reusable framework, not a one-off snapshot.\n\nThe practical answer is to design the evaluation so it can be re-run cheaply when a model update lands — that way a change becomes detectable rather than invisible.", "latency_ms": 4922, "input_tokens": 5193, "output_tokens": 137, "cached_input_tokens": 4840, "cost_usd": 0.017634, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT and Phil's work are consistent with the brief.", "groundedness_reason": "The answer stays within the brief: it describes Ada's own published evaluation accurately, references the four-model judge panel and multi-backend testing as stated, and offers practical guidance grounded in Tromp IT's AI Evaluation & Testing service." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief, including the published Ada evaluation details.", "groundedness_reason": "Every assertion is supported by the brief and does not overstate Tromp IT's capabilities." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's work are correct per the brief.", "groundedness_reason": "The answer stays within the brief's description of services and experience." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "FIT-017", "category": "Fit Assessment", "category_id": "FIT", "question": "We're a non-profit using AI to triage support requests. Small operation, limited resources — is Tromp IT realistically an option for us?", "ada_response": "Size and budget constraints aren't a barrier — Phil has worked with organisations at both ends of the scale, and a small, focused engagement can still produce real findings.\n\nFor a triage system specifically, the risk of failure is high-stakes: misclassified requests mean people don't get help when they need it. That's exactly the kind of system where independent evaluation — test set design, failure analysis, understanding where and why it gets things wrong — is worth doing even at modest scale.\n\nThe honest answer is that scope and cost are worked out individually, so the best thing is a direct conversation with Phil. Would it help if I took your details so he can reach out, or would you prefer to email him directly at phil@trompit.com.au?", "latency_ms": 6090, "input_tokens": 5195, "output_tokens": 162, "cached_input_tokens": 4840, "cost_usd": 0.018015, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief: Phil has worked with organisations of different sizes, AI Evaluation & Testing is a core service addressing triage systems, and engagements are scoped individually.", "groundedness_reason": "The answer stays within the brief's scope, correctly declines to quote pricing, appropriately defers to Phil for individual scoping, and offers two legitimate paths forward (record lead or direct email) without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada's answer is well-grounded, drawing directly from the brief regarding client size, Phil's experience, and the nature of AI evaluation." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Would it help if I took your details so he can reach out, or would you prefer to email him directly at phil@trompit.com.au?", "accuracy_reason": "Claims about Phil's experience, services (test set design, failure analysis) and contact email match the brief.", "groundedness_reason": "The reply combined two questions in one sentence, breaching the brief's rule to never ask more than one question or stack them with 'or'.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's client size, services, and process are correct per the brief.", "groundedness_reason": "The answer stays within the brief's scope, correctly defers cost specifics to Phil, and makes no overclaims." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gpt-5-mini" ] }, { "id": "FIT-018", "category": "Fit Assessment", "category_id": "FIT", "question": "Our AI assistant handles financial advice conversations — heavily regulated space. Is that kind of high-stakes environment something you're set up to evaluate properly?", "ada_response": "Yes — high-stakes, regulated environments are exactly where rigorous evaluation matters most, and it's the kind of work Phil Robin, who founded Tromp IT, has direct experience with. The banking assistant work he delivered for Westpac, BT and Standard Chartered involved tuning intent and language models in a regulated financial context where accuracy and appropriate responses aren't optional.\n\nFor a financial advice assistant, the evaluation design would need to reflect what \"correct\" actually means in your context — which is more than fluency or user satisfaction. That means defining failure modes specific to your compliance requirements, building test sets that probe those specifically, and using a judge framework that can distinguish a compliant answer from a plausible-sounding one that isn't.\n\nOn data sensitivity: evaluation can be designed around your constraints, using synthetic or anonymised test data, and structured to operate within your existing security controls if needed.\n\nIs this something you're looking to evaluate now, or still scoping what's needed?", "latency_ms": 7531, "input_tokens": 5192, "output_tokens": 211, "cached_input_tokens": 4840, "cost_usd": 0.018741, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "The banking assistant work he delivered for Westpac, BT and Standard Chartered involved tuning intent and language models in a regulated financial context", "accuracy_reason": "Ada names a client (Standard Chartered Bank) beyond those listed in the brief as permissible to name.", "groundedness_reason": "The brief explicitly forbids naming Standard Chartered Bank in this context; only Westpac and BT are listed as named clients in the banking work.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Yes — high-stakes, regulated environments are exactly where rigorous evaluation matters most, and it's the kind of work Phil Robin, who founded Tromp IT, has direct experience with. The banking assistant work he delivered for Westpac, BT and Standard Chartered involved tuning intent and language models in a regulated financial context where accuracy and appropriate responses aren't optional.\n\nFor ", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer exceeds the two-to-four sentence hard ceiling specified in the brief, and asks two questions in the final sentence, which is also forbidden.", "citation_review": [ "brief_quote_not_verbatim" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's descriptions of Phil's experience and Tromp IT's capabilities.", "groundedness_reason": "The reply stays within the brief, describing evaluation methods Tromp IT offers and the stated data-sensitivity approach." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "gemini" ] }, { "id": "FIT-019", "category": "Fit Assessment", "category_id": "FIT", "question": "We're a legal tech firm and our LLM extracts clauses from contracts. The failure modes are pretty subtle. Is that the kind of nuanced evaluation you do?", "ada_response": "Yes, that's exactly the kind of work Phil does. Subtle failures in clause extraction — wrong boundaries, missed obligations, plausible-sounding but incorrect output — are precisely what standard benchmarks tend to miss, because they're designed for cleaner tasks.\n\nThe evaluation approach here would start by understanding what \"correct\" actually means for your specific contracts and clause types, then designing test cases that expose the failure modes that matter, not just the obvious ones. The output is evidence and prioritised findings, not just a score.\n\nIf you'd like to explore what an engagement might look like for your system, it'd help to know who I'm talking to and the best way for Phil to reach you.", "latency_ms": 5625, "input_tokens": 5199, "output_tokens": 149, "cached_input_tokens": 4840, "cost_usd": 0.017832, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Yes, that's exactly the kind of work Phil does. Subtle failures in clause extraction — wrong boundaries, missed obligations, plausible-sounding but incorrect output — are precisely what standard benchmarks tend to miss", "accuracy_reason": "Ada claims Phil does this work, but the brief does not list contract clause extraction or legal tech evaluation among Tromp IT's services or experience.", "groundedness_reason": "Ada affirms capability ('Yes, that's exactly the kind of work Phil does') for a use case not mentioned in the brief, inventing a service match rather than staying grounded in what is actually stated." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Yes, that's exactly the kind of work Phil does. Subtle failures in clause extraction — wrong boundaries, missed obligations, plausible-sounding but incorrect output — are precisely what standard benchmarks tend to miss, because they're designed for cleaner tasks.\n\nThe evaluation approach here would start by understanding what \"correct\" actually means for your specific contracts and clause types, t", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer exceeds the two-to-four sentence length limit and includes a question at the end of an already complete answer, which the brief explicitly advises against." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT does nuanced AI evaluation and returns evidence and prioritized findings, which matches the brief's services and process.", "groundedness_reason": "All substantive claims map to the brief's description of AI Evaluation & Testing and the Understand/Define/Evaluate/Recommend workflow." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and approach are consistent with the brief.", "groundedness_reason": "The answer correctly describes the evaluation approach and defers specifics to Phil without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "gemini" ] }, { "id": "FIT-020", "category": "Fit Assessment", "category_id": "FIT", "question": "I'm a solo founder, pre-revenue, but I need credible third-party validation of my AI product before approaching investors. Is that a realistic engagement for Tromp IT?", "ada_response": "Yes, that's a realistic engagement — and it's a common gap for early-stage AI products. Independent evaluation gives you something concrete to show investors: not \"here's our internal benchmark\" but \"here's what an external specialist found when they tested it.\"\n\nPhil Robin has done exactly this kind of evaluation work — designing test sets, running multi-judge frameworks, analysing where a system fails and why, and producing findings that are evidence-based rather than promotional. That's the core of Tromp IT's AI Evaluation & Testing service.\n\nThe honest caveat: engagements are scoped and priced individually, so whether it works at your stage is a conversation worth having with Phil directly. His email is phil@trompit.com.au.\n\nIf it's useful, I'm happy to take your details so Phil can reach out — or tell me a bit more about what your product does and I can give you a sharper sense of fit first.", "latency_ms": 6535, "input_tokens": 5201, "output_tokens": 205, "cached_input_tokens": 4840, "cost_usd": 0.018678, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services, Phil's work, and engagement model are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope: names the core service correctly, describes Phil's actual work from the brief, acknowledges that pricing is individual (not quoted), and appropriately defers to Phil for the specific fit at the visitor's stage." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's descriptions of services, experience and contact details.", "groundedness_reason": "The reply stays within the brief, naming the AI Evaluation & Testing service and deferring on pricing and scope to Phil." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and process are correct.", "groundedness_reason": "The answer stays within the brief, correctly defers pricing to Phil, and does not overclaim." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "FIT-021", "category": "Fit Assessment", "category_id": "FIT", "question": "We're running a multi-agent system where several models hand off tasks to each other. Can you evaluate something that complex, or do you focus on single-model setups?", "ada_response": "Multi-agent systems are well within scope — evaluating them is actually one of the more interesting challenges in this space, because failure can happen at the handoff points as much as within any individual model. Phil's work includes agentic AI evaluation alongside RAG pipelines and single-model chatbots, so the complexity isn't a barrier.\n\nThe approach would follow the same structure: understand what \"working correctly\" means for your system, define the test cases and success criteria, then evaluate with a focus on where things actually break — which in a multi-agent setup often means tracing a failure back through the chain to find where it originated.\n\nWhat kind of tasks is your system handling?", "latency_ms": 5359, "input_tokens": 5199, "output_tokens": 146, "cached_input_tokens": 4840, "cost_usd": 0.017787, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "What kind of tasks is your system handling?", "accuracy_reason": "All factual claims about Tromp IT's services and approach are consistent with the brief.", "groundedness_reason": "Ada correctly identifies agentic AI as in scope, but the closing question ('What kind of tasks is your system handling?') violates the instruction that 'The default ending for a reply is a plain statement, not a …' and 'a trailing question at the end of an already-complete answer is padding, " }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the scope of the brief, accurately describing Tromp IT's capabilities in AI evaluation." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states Tromp IT evaluates agentic AI, RAG and chatbots as per the brief.", "groundedness_reason": "All claims map to the brief's services and process without adding unsupported details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and experience are correct.", "groundedness_reason": "Answer stays within the brief's description of services and approach." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "FIT-022", "category": "Fit Assessment", "category_id": "FIT", "question": "Our product is voice-based, not text — an AI phone assistant for customer service. Does that change whether you can help?", "ada_response": "Voice-based AI still needs evaluation — the core questions are the same: does it understand what callers intend, does it respond correctly, and where does it fail? Phil has direct experience here; his analytics work for Telstra was specifically about measuring how voice recognition systems performed in production, with real callers, not just lab scores.\n\nThe honest caveat is that the acoustic and speech-recognition layer — how well the system hears — is a different specialism from conversational evaluation. If your concern is whether the assistant understands and handles calls correctly, that's squarely in scope. If it's primarily about audio quality or ASR accuracy, that's worth a direct conversation with Phil to work out where Tromp IT can add value.", "latency_ms": 5442, "input_tokens": 5189, "output_tokens": 159, "cached_input_tokens": 4840, "cost_usd": 0.017952, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT and Phil's experience are consistent with the brief.", "groundedness_reason": "Ada correctly grounds the answer in Phil's Telstra voice recognition work, accurately describes the scope of AI Evaluation & Testing, and honestly defers the acoustic/ASR layer to Phil without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Statements about Tromp IT services and Telstra work match the brief exactly.", "groundedness_reason": "The reply stays within the brief, correctly scopes conversational vs ASR issues and defers detailed decisions to Phil." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's experience and services are correct per the brief.", "groundedness_reason": "The answer correctly distinguishes in-scope and out-of-scope work, defers appropriately, and makes no unsupported claims." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "FIT-023", "category": "Fit Assessment", "category_id": "FIT", "question": "We're a university research group, not a commercial outfit. Would Tromp IT work with an academic team on an evaluation project?", "ada_response": "Client size and type aren't a barrier — Phil has worked with both large corporations and smaller organisations, and the nature of the work matters more than the sector. If you're evaluating an AI system — a chatbot, a RAG pipeline, an agentic system — and you need independent, rigorous assessment of whether it's actually working, that maps directly to what Tromp IT does. What's the system you're looking to evaluate?", "latency_ms": 3707, "input_tokens": 5190, "output_tokens": 95, "cached_input_tokens": 4840, "cost_usd": 0.016995, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, correctly identifies the service (AI Evaluation & Testing), names the system types Tromp IT evaluates, and appropriately asks a clarifying question without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada's answer is well-grounded in the brief, directly addressing the client size and type, and connecting it to Tromp IT's core service." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims mirror the brief: Tromp IT works with both large and small clients and evaluates chatbots, RAG systems and agentic AI.", "groundedness_reason": "The reply stays within the brief's stated services and positioning and does not add unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "FIT-024", "category": "Fit Assessment", "category_id": "FIT", "question": "We've already launched and we're getting complaints about inconsistent AI outputs, but we don't have a clear brief yet — just a problem. Is that too early-stage for you to engage?", "ada_response": "Not at all — that's actually a good place to start. Inconsistent outputs are a symptom, and the first step is understanding what the evidence actually shows, which is exactly what Phil's evaluation work is designed to do.\n\nThe AI Evaluation & Testing service starts by defining what \"working correctly\" should mean for your system, then builds a test set that can surface where and why the inconsistency is happening. You don't need a polished brief for that — the problem description *is* the starting point.\n\nIf you'd like Phil to take a look, I'm happy to take your details so he can follow up directly.", "latency_ms": 5063, "input_tokens": 5203, "output_tokens": 136, "cached_input_tokens": 4840, "cost_usd": 0.017649, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "The AI Evaluation & Testing service starts by defining what \"working correctly\" should mean for your system, then builds a test set that can surface where and why the inconsistency is happening.", "accuracy_reason": "Ada claims the service 'starts by defining what working correctly should mean' as the first step, but the brief states the first step is 'Understand — start with the problem and the evidence needed', not defining success criteria.", "groundedness_reason": "Ada invents a process sequence and overstates what happens in the initial engagement phase, going beyond what the brief supports about how engagements begin." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Claims about evaluation work, test-set design, and starting from the problem match the brief's description of Tromp IT's AI Evaluation & Testing service and four-step process.", "groundedness_reason": "The reply stays within the brief, naming the correct service and offering follow-up without overclaiming or making commitments." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and process are correct.", "groundedness_reason": "The answer stays within the brief's description of services and process." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "FIT-025", "category": "Fit Assessment", "category_id": "FIT", "question": "We operate in both English and Mandarin and the AI needs to perform well in both. Is multilingual evaluation something you cover?", "ada_response": "Multilingual and bilingual evaluation isn't something I can confirm Tromp IT covers — it's not listed in the brief, and it would be wrong to imply it does without checking with Phil.\n\nIt's plausibly adjacent to the evaluation work Phil does, so it's worth putting the question directly to him at phil@trompit.com.au. If you'd like to share your name and email, I can also have him reach out to you.", "latency_ms": 3520, "input_tokens": 5190, "output_tokens": 101, "cached_input_tokens": 4840, "cost_usd": 0.017085, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly defers on multilingual evaluation (not in brief), names it as plausibly adjacent, provides Phil's contact, and offers to record a lead without overstating capability.", "citation_review": [ "brief_quote_not_verbatim" ] }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "If you'd like to share your name and email, I can also have him reach out to you.", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer correctly defers on multilingual evaluation, but then offers to have Phil reach out if the visitor shares their name and email, which is a lead capture action not explicitly triggered by the visitor's question about capability.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines to confirm multilingual evaluation and directs the visitor to Phil, matching the brief.", "groundedness_reason": "The reply defers to Phil and notes the topic is adjacent to Tromp IT's work, which follows the brief's guidance on out-of-scope capabilities." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "Answer correctly defers to Phil on a topic the brief does not cover." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gemini" ] }, { "id": "FIT-026", "category": "Fit Assessment", "category_id": "FIT", "question": "Our entire AI pipeline runs inside AWS and we'd need any evaluation work to stay within that environment for security reasons. Is that workable?", "ada_response": "That constraint is workable — evaluation can be designed to operate within your existing AWS infrastructure rather than routing data through external services. Phil has done exactly this kind of environment-aware scoping, and it's part of how Tromp IT approaches sensitive engagements from the start of the Define step.\n\nIf it's useful, I'm happy to take your details so Phil can have a more specific conversation about how that would work for your pipeline.", "latency_ms": 3493, "input_tokens": 5191, "output_tokens": 94, "cached_input_tokens": 4840, "cost_usd": 0.016983, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil has done exactly this kind of environment-aware scoping, and it's part of how Tromp IT approaches sensitive engagements from the start of the Define step.", "accuracy_reason": "Ada claims Phil has done 'environment-aware scoping' for sensitive engagements, which is not stated in the brief.", "groundedness_reason": "Ada invents a specific track record ('Phil has done exactly this kind of environment-aware scoping') that the brief does not support, and attributes a practice to the Define step that goes beyond what is written.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply aligns with the brief: Tromp IT can design evaluations to run inside a client's infrastructure and follows the Define step.", "groundedness_reason": "All claims trace to the brief's statements about minimising data sharing, designing evaluations for sensitive environments, and the four-step process." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims are directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's stated capabilities and approach." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "FIT-027", "category": "Fit Assessment", "category_id": "FIT", "question": "I'm a delivery lead at a large systems integrator and we need a specialist subcontractor for the AI testing phase of a client engagement. Is that the kind of arrangement Tromp IT does?", "ada_response": "Yes, that's exactly one of the ways Tromp IT works — as a specialist advisor within consulting and delivery teams rather than always as a direct client engagement. Phil Robin, who leads Tromp IT, has done this before: the enterprise cloud optimisation work for a financial services client was delivered inside Araza's team, for example.\n\nIf you can share a bit about the engagement — the type of AI system being tested and roughly what the testing phase needs to cover — I can tell you more specifically where Phil's experience maps to it.", "latency_ms": 4516, "input_tokens": 5204, "output_tokens": 116, "cached_input_tokens": 4840, "cost_usd": 0.017352, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's service delivery model and Phil's experience are accurate and supported by the brief.", "groundedness_reason": "The answer stays within the brief: it confirms the subcontractor arrangement, names a real example (Araza/cloud optimisation), and appropriately asks for more detail rather than overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada's answer is well-grounded in the brief, accurately describing Tromp IT's engagement modes and Phil's experience without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "If you can share a bit about the engagement — the type of AI system being tested and roughly what the testing phase needs to cover — I can tell you more specifically where Phil's experience maps to it.", "accuracy_reason": "All factual claims about Tromp IT and Phil match the brief.", "groundedness_reason": "The reply asks for two pieces of information in one question, which the brief forbids." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and traceable to the brief.", "groundedness_reason": "The answer stays within the brief's description of engagement modes and experience." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gpt-5-mini" ] }, { "id": "FIT-028", "category": "Fit Assessment", "category_id": "FIT", "question": "We're in the middle of an ISO 42001 compliance effort and need external evaluation support specifically aligned to that standard. Is that in your wheelhouse?", "ada_response": "ISO 42001 is an interesting intersection — it's an AI management system standard, and external evaluation does sit close to what Tromp IT does, but I want to be straight with you: the brief I have doesn't mention ISO 42001 specifically, and I can't confirm that Phil has delivered work explicitly framed around that standard.\n\nWhat I can say is that the evaluation capabilities here — test design, failure analysis, LLM-as-judge frameworks, measuring what AI systems actually do in production — are exactly the kind of technical evidence that compliance efforts typically need to support. Whether that maps neatly onto what your ISO 42001 scope requires is worth a direct conversation with Phil.\n\nIt's the kind of question he'd want to answer himself rather than have me speculate on — you can reach him at phil@trompit.com.au, or if you share your name and email I can make sure he has your details and the context of what you're working on.", "latency_ms": 6864, "input_tokens": 5195, "output_tokens": 212, "cached_input_tokens": 4840, "cost_usd": 0.018765, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's capabilities and contact method are consistent with the brief.", "groundedness_reason": "Ada correctly identifies that ISO 42001 is not mentioned in the brief, declines to speculate on capability, describes relevant services that do exist, and defers to Phil for a direct answer—exactly as instructed." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "What I can say is that the evaluation capabilities here — test design, failure analysis, LLM-as-judge frameworks, measuring what AI systems actually do in production — are exactly the kind of technical evidence that compliance efforts typically need to support.", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer implies a stronger connection between Tromp IT's services and ISO 42001 compliance than the brief explicitly supports, even while deferring to Phil.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer's claims about Tromp IT's evaluation capabilities and Phil's contact match the brief.", "groundedness_reason": "The reply stays within the brief, explicitly notes the brief is silent on ISO 42001, and defers to Phil for confirmation." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Answer correctly defers to Phil for unconfirmed capability and stays within brief boundaries." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gemini" ] }, { "id": "FIT-029", "category": "Fit Assessment", "category_id": "FIT", "question": "We have maybe ten AI prompts powering a customer-facing product — it's genuinely small scope. Is it worth your time to talk to us?", "ada_response": "Scope like that is well within what Tromp IT works with — Phil has worked with organisations of all sizes, and a small prompt count doesn't mean low risk or low complexity. Ten prompts in a customer-facing product can still fail in ways that matter: wrong answers, inconsistent tone, edge cases that surface at the worst time.\n\nIf you want to know whether those prompts are actually doing what you need them to, that's exactly the kind of evaluation work Tromp IT does. Worth a conversation.", "latency_ms": 4221, "input_tokens": 5195, "output_tokens": 111, "cached_input_tokens": 4840, "cost_usd": 0.01725, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately representing Phil's experience with organisations of all sizes and Tromp IT's core AI Evaluation & Testing service." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer stays within the scope of the brief, accurately reflecting Tromp IT's capabilities and Phil's experience." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims align with the brief about client size and Tromp IT's evaluation services.", "groundedness_reason": "The reply stays within the brief and does not assert capabilities or facts beyond what Tromp IT offers." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's client size and services are correct.", "groundedness_reason": "The answer stays within the brief's description of services and client engagement." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "FIT-030", "category": "Fit Assessment", "category_id": "FIT", "question": "We're a media company using AI to personalise content recommendations for about two million users. The concern is bias as much as accuracy — is that an evaluation angle you cover?", "ada_response": "Bias in recommendation systems is an interesting edge case for Tromp IT — Phil's evaluation work is focused on conversational AI (chatbots, RAG pipelines, agentic systems) rather than recommendation engines, so I can't honestly say this falls squarely within current services.\n\nThat said, the methodological overlap is real: test set design, failure analysis and structured measurement of whether a system is doing what it's supposed to are exactly the kind of work Phil has done, including for large-scale deployed systems at organisations like Telstra and Medibank.\n\nWhether that translates usefully to your situation is genuinely a question for Phil rather than me — if you'd like to put it to him directly, he's at phil@trompit.com.au.", "latency_ms": 5645, "input_tokens": 5198, "output_tokens": 168, "cached_input_tokens": 4840, "cost_usd": 0.018114, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "the methodological overlap is real: test set design, failure analysis and structured measurement of whether a system is doing what it's supposed to are exactly the kind of work Phil has done, including for large-scale deployed systems at organisations like Telstra and Medibank.", "accuracy_reason": "Ada names Medibank as a client for conversational AI evaluation work, but the brief states Medibank work was on a medical triage chatbot implementation and testing platform, not evaluation of an existing system.", "groundedness_reason": "Ada invents a capability (bias evaluation in recommendation systems) by implying methodological overlap could translate to that domain, and misrepresents the nature of past work to support that claim." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Bias in recommendation systems is an interesting edge case for Tromp IT — Phil's evaluation work is focused on conversational AI (chatbots, RAG pipelines, agentic systems) rather than recommendation engines, so I can't honestly say this falls squarely within current services. That said, the methodological overlap is real: test set design, failure analysis and structured measurement of whether a sy", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer implies a stronger connection between Phil's past work and the visitor's specific problem (bias in recommendation systems) than the brief explicitly supports, even while deferring to Phil.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Statements match the brief: Tromp IT focuses on conversational AI and lists test set design and failure analysis; Phil's contact is correct.", "groundedness_reason": "The reply defers on an unlisted capability, notes adjacency to Tromp IT services, and directs to Phil as the brief requires." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Bias in recommendation systems is an interesting edge case for Tromp IT", "accuracy_reason": "The answer incorrectly states that bias in recommendation systems is an 'edge case' for Tromp IT.", "groundedness_reason": "The answer implies methodological overlap and capability beyond what the brief explicitly supports for this topic.", "citation_review": [ "disputed_claim_largely_in_brief" ] } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.5, "avg_groundedness": 0.5, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 1, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "fail", "dissenting_judges": [ "claude-haiku-4-5", "gemini", "deepseek-v3.2" ] }, { "id": "HOW-001", "category": "How We Work", "category_id": "HOW", "question": "How long does an engagement take?", "ada_response": "Timelines depend on the scope — a focused evaluation of a single chatbot can wrap up in a few weeks, while something broader involving multiple systems or ongoing testing will naturally take longer. Phil scopes each engagement individually, with agreed deliverables and effort defined upfront before work begins. If you have a specific system or situation in mind, that would help give you a more useful sense of what's involved.", "latency_ms": 3480, "input_tokens": 5170, "output_tokens": 87, "cached_input_tokens": 4840, "cost_usd": 0.016815, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "a focused evaluation of a single chatbot can wrap up in a few weeks", "accuracy_reason": "Ada claims engagements can wrap up in 'a few weeks' but the brief contains no timeframe information whatsoever.", "groundedness_reason": "Ada invents a specific duration ('a few weeks') that is not supported by the brief, and commits implicitly to a timeline on Phil's behalf, which the brief forbids." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the information provided in the brief regarding engagement timelines and Phil's role in scoping." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "a focused evaluation of a single chatbot can wrap up in a few weeks", "accuracy_reason": "Statements about scoping and that timelines depend on scope match the brief.", "groundedness_reason": "The reply gives a specific 'few weeks' timeline for a focused evaluation, which the brief does not state." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "a focused evaluation of a single chatbot can wrap up in a few weeks", "accuracy_reason": "The brief does not state any specific engagement timeframes.", "groundedness_reason": "The answer implies a specific timeframe not supported by the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.5, "avg_groundedness": 0.5, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 1, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "fail", "dissenting_judges": [ "claude-haiku-4-5", "gpt-5-mini", "deepseek-v3.2" ] }, { "id": "HOW-002", "category": "How We Work", "category_id": "HOW", "question": "What do I get at the end?", "ada_response": "At the end of a Tromp IT engagement you get evidence, findings and prioritised recommendations — not just a score, but an explanation of how it was produced and where the system failed. The deliverables are agreed up front, so there are no surprises about what you're getting. Is there a specific system or problem you're trying to get a handle on?", "latency_ms": 3536, "input_tokens": 5171, "output_tokens": 79, "cached_input_tokens": 4840, "cost_usd": 0.016698, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's deliverables are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports, accurately describing the four-step process and the commitment to agreed deliverables." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer accurately reflects the deliverables and process described in the brief without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief about deliverables and scoping.", "groundedness_reason": "The reply sticks to the brief's stated deliverables and scoping process and does not overclaim." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about deliverables and process are correct per the brief.", "groundedness_reason": "Answer stays within the brief's description of engagement outcomes and process." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-003", "category": "How We Work", "category_id": "HOW", "question": "Do you work under NDA?", "ada_response": "That's something to work out directly with Phil — it's not a commitment I can make on Tromp IT's behalf. You can reach him at phil@trompit.com.au.\n\nIf it's useful, I'm happy to take your details so he can follow up with you directly.", "latency_ms": 3060, "input_tokens": 5170, "output_tokens": 66, "cached_input_tokens": 4840, "cost_usd": 0.0165, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no factual claims about Tromp IT's policies or capabilities; she correctly declines to commit on Phil's behalf and provides his contact details.", "groundedness_reason": "The answer stays within the brief's explicit instruction not to make commitments on Tromp IT's behalf, defers appropriately to Phil, and offers to capture details for follow-up—all consistent with the brief's guidance on boundaries and lead capture." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that Ada cannot make commitments on Tromp IT's behalf and provides the correct contact email for Phil.", "groundedness_reason": "The answer appropriately defers a commitment question to Phil and offers to take details for follow-up, which aligns with the brief's instructions for handling commitments and capturing lead information." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly defers commitments to Phil and provides his email as required by the brief.", "groundedness_reason": "The reply stays within the brief by refusing to commit on Tromp IT's behalf and offering to record details for Phil to follow up." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Answer correctly defers to Phil and provides contact details.", "groundedness_reason": "Answer stays within the brief's boundaries, making no commitments." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-004", "category": "How We Work", "category_id": "HOW", "question": "Can you work as a subcontractor?", "ada_response": "Yes — Tromp IT works both directly with organisations and as a specialist advisor within consulting and delivery teams. Phil has done this across several engagements, including analytics work within Araza's delivery team on an enterprise AWS cost optimisation project. If your team has a project that needs independent AI evaluation or analytics expertise, that's a natural fit.", "latency_ms": 3668, "input_tokens": 5172, "output_tokens": 75, "cached_input_tokens": 4840, "cost_usd": 0.016641, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's service delivery model are correct and directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's scope, names a real engagement (Araza/AWS), and appropriately frames subcontracting as a natural fit without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT's engagement modes and cites Phil's Araza work, both present in the brief.", "groundedness_reason": "All assertions directly mirror lines in the brief and do not add unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims are directly supported by the brief.", "groundedness_reason": "The answer correctly describes Tromp IT's engagement model without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-005", "category": "How We Work", "category_id": "HOW", "question": "How is cost determined?", "ada_response": "Engagements are scoped individually — Phil works out the effort, deliverables and cost up front before anything begins, so there are no open-ended commitments. I can't quote figures here, but if you'd like to talk through what you're looking at, Phil is the right person to speak with at phil@trompit.com.au.", "latency_ms": 3152, "input_tokens": 5168, "output_tokens": 79, "cached_input_tokens": 4840, "cost_usd": 0.016689, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement model are correct and consistent with the brief.", "groundedness_reason": "Ada correctly declines to quote pricing (as instructed), explains the scoping process accurately, and provides Phil's contact details as appropriate for a pricing enquiry." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer correctly states that engagements are scoped individually and defers pricing questions to Phil, which is directly supported by the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply reflects the brief's statement that engagements are scoped up front with agreed deliverables, effort and cost.", "groundedness_reason": "The reply follows the brief's rule not to quote prices and provides Phil's contact as instructed." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about scoping and pricing are correct and consistent with the brief.", "groundedness_reason": "Answer stays within the brief, correctly defers pricing to Phil, and provides his contact." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-006", "category": "How We Work", "category_id": "HOW", "question": "Is there a minimum project size or scope you'll take on, or do you work with smaller one-off requests too?", "ada_response": "There's no minimum — Phil has worked with both large organisations and small companies, and engagement size isn't a barrier either way. Scope is agreed up front with clear deliverables, so a focused one-off piece of work is just as viable as a longer engagement. If you have something specific in mind, I'm happy to help work out whether it's a good fit.", "latency_ms": 3225, "input_tokens": 5188, "output_tokens": 81, "cached_input_tokens": 4840, "cost_usd": 0.016779, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's willingness to work with organisations of any size and scope agreement practices are directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's explicit statements about client size and engagement structure, does not overclaim, and appropriately offers to help without committing on Phil's behalf." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer stays within the scope of the brief regarding client size and engagement structure." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply repeats the brief's statements about client size and scoping engagements up front.", "groundedness_reason": "All assertions are supported by the brief and do not add unsupported commitments." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief exactly.", "groundedness_reason": "Answer stays strictly within brief-supported information." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-007", "category": "How We Work", "category_id": "HOW", "question": "We're mid-project and already have some evaluation work underway. Can you come in partway through rather than starting from scratch?", "ada_response": "Yes — Tromp IT's four-step process is a framework, not a rigid contract, and Phil has experience working as a specialist within existing consulting and delivery teams rather than always leading from the start. The practical starting point would be understanding what's already been done, what evidence exists, and where the gaps are — then agreeing a scope around those specifics. If you'd like Phil to take a look at what you have, I'm happy to take your details so he can follow up.", "latency_ms": 3953, "input_tokens": 5190, "output_tokens": 105, "cached_input_tokens": 4840, "cost_usd": 0.017145, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process, team structure, and engagement model are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope: it references the four-step process, mentions Phil's experience working within consulting teams, and appropriately offers to capture details for follow-up without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief about the four-step approach and working as a specialist within other teams.", "groundedness_reason": "All assertions are supported by the brief and do not add unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process and engagement model are correct.", "groundedness_reason": "The answer stays within the brief's description of the process and engagement modes." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-008", "category": "How We Work", "category_id": "HOW", "question": "Do you work on a fixed-fee basis or is it time-and-materials?", "ada_response": "Engagements are scoped up front with agreed deliverables, effort and cost — so you know what you're getting before work begins. The specifics of how that translates to a fee structure depend on the engagement, and that's a conversation for Phil directly. You can reach him at phil@trompit.com.au.", "latency_ms": 3118, "input_tokens": 5181, "output_tokens": 74, "cached_input_tokens": 4840, "cost_usd": 0.016653, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement model are consistent with the brief.", "groundedness_reason": "Ada correctly states that engagements are scoped upfront with agreed deliverables, effort and cost, declines to specify fee structure (which the brief forbids), and defers to Phil for specifics." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer accurately reflects the brief's guidance on engagement scoping and deferring pricing discussions to Phil." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's statement that engagements are scoped up front and refers pricing questions to Phil.", "groundedness_reason": "All claims are directly supported by the brief and it correctly hands pricing discussion to Phil with his contact." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about scoping and deferring pricing to Phil are correct.", "groundedness_reason": "Answer stays within the brief, correctly declining to quote pricing." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-009", "category": "How We Work", "category_id": "HOW", "question": "What does your scoping process actually look like before we commit to anything?", "ada_response": "Before any work begins, Phil agrees scope, success criteria, test data, methods and deliverables with the client — so there are no surprises on either side once the engagement starts.\n\nIt follows a two-step lead-in: first, understanding the problem and what evidence you actually need; then defining exactly what will be tested, how it will be measured, and what gets delivered. Effort and cost are fixed at that point, not adjusted as the work unfolds.\n\nIf you want to talk through a specific situation, I'm happy to help work out what that might look like — or I can pass your details to Phil directly.", "latency_ms": 5727, "input_tokens": 5178, "output_tokens": 135, "cached_input_tokens": 4840, "cost_usd": 0.017559, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "It follows a two-step lead-in: first, understanding the problem and what evidence you actually need; then defining exactly what will be tested, how it will be measured, and what gets delivered.", "accuracy_reason": "Ada describes a two-step process (Understand, Define) but the brief specifies four steps, and Ada omits the Evaluate and Recommend phases that are central to how Tromp IT works.", "groundedness_reason": "Ada oversimplifies the engagement model by presenting only the scoping phase and implying the process ends with fixed cost, when the brief establishes a complete four-step methodology that includes evaluation and recommendations." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims map directly to the brief's description of the Understand/Define steps and upfront scoping.", "groundedness_reason": "The reply stays within the brief's process description and does not add unsupported details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the scoping process are correct per the brief.", "groundedness_reason": "The answer correctly describes the defined process without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "HOW-010", "category": "How We Work", "category_id": "HOW", "question": "We're a consulting firm and sometimes need to white-label specialist work for our clients. Is that something you'd accommodate?", "ada_response": "Yes — Tromp IT works as a specialist subcontractor within consulting and delivery teams, so that kind of arrangement is familiar territory.\n\nPhil would be the one to discuss the specifics of how a particular engagement would be structured. If you'd like to start that conversation, I'm happy to take your details so he can follow up — or you can reach him directly at phil@trompit.com.au.", "latency_ms": 3673, "input_tokens": 5188, "output_tokens": 90, "cached_input_tokens": 4840, "cost_usd": 0.016914, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's service delivery model are correct and directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately describes the subcontractor arrangement, appropriately defers specifics to Phil, and provides his contact details without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's statement about subcontracting and offering Phil's contact.", "groundedness_reason": "Nothing in the answer goes beyond or contradicts the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and traceable to the brief.", "groundedness_reason": "The answer stays within the brief's description of engagement modes and correctly defers specifics to Phil." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-011", "category": "How We Work", "category_id": "HOW", "question": "How many people from your side would typically be involved in an engagement?", "ada_response": "Phil works independently, so for most engagements it's just him. That's a deliberate part of the model — you get the senior specialist doing the actual work, not a team where the experienced person sells and someone junior delivers. If a particular engagement calls for additional capability, Phil can bring in others, but that would be scoped and agreed upfront.", "latency_ms": 3465, "input_tokens": 5177, "output_tokens": 77, "cached_input_tokens": 4840, "cost_usd": 0.016686, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil works independently, so for most engagements it's just him. That's a deliberate part of the model — you get the senior specialist doing the actual work, not a team where the experienced person sells and someone junior delivers.", "accuracy_reason": "Ada claims Phil works independently and delivers engagements solo, but the brief states Tromp IT works both directly with organisations and as a specialist subcontractor within consulting and delivery teams.", "groundedness_reason": "Ada invents a business model detail ('you get the senior specialist doing the actual work, not a team where the experienced person sells and someone junior delivers') that is not in the brief and misrepresents how Tromp IT operates." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately reflects that Phil works independently and can bring in others if needed, which is consistent with the brief's description of Tromp IT's structure and Phil's role.", "groundedness_reason": "The answer stays within the brief's information about Phil's independent work and the flexibility to involve others, without overstating or inventing details." }, "gpt-5-mini": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Phil works independently, so for most engagements it's just him.", "accuracy_reason": "The claim that 'for most engagements it's just him' is not stated in the brief and therefore is unverified.", "groundedness_reason": "The answer extends beyond the brief by asserting a usual single-person delivery model and a deliberate business model choice.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims are consistent with the brief.", "groundedness_reason": "The answer is fully supported by the brief's description of the business model." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.5, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "gpt-5-mini" ] }, { "id": "HOW-012", "category": "How We Work", "category_id": "HOW", "question": "Do you require a statement of work up front, or is there a more informal way to kick things off?", "ada_response": "Engagements are scoped up front — agreed deliverables, effort and cost before work begins — but that doesn't mean the process starts with paperwork. The normal first step is a conversation with Phil to understand the problem and whether Tromp IT is the right fit, and the formal scope follows from that.\n\nIf you'd like to set something up, you can reach Phil directly at phil@trompit.com.au.", "latency_ms": 3761, "input_tokens": 5185, "output_tokens": 95, "cached_input_tokens": 4840, "cost_usd": 0.01698, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement process are consistent with the brief.", "groundedness_reason": "The answer accurately reflects the brief's description of how engagements are scoped and initiated, stays within established facts, and appropriately provides Phil's contact details without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer stays within the information provided in the brief without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer matches the brief's statement that engagements are scoped up front and that initial conversations determine fit and scope.", "groundedness_reason": "All claims trace to the brief and do not add unsupported commitments or details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about scoping and process are consistent with the brief.", "groundedness_reason": "The answer correctly describes the engagement process without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-013", "category": "How We Work", "category_id": "HOW", "question": "If our requirements change partway through, how do you handle scope changes commercially?", "ada_response": "Scope changes are handled through the scoping step at the start — agreed deliverables, effort and cost are fixed before work begins, so both sides are clear on what's included. If requirements shift materially mid-engagement, that's a conversation with Phil directly rather than something Ada can commit to on Tromp IT's behalf. The honest answer is that the specifics depend on the nature of the change and the engagement.", "latency_ms": 3405, "input_tokens": 5179, "output_tokens": 91, "cached_input_tokens": 4840, "cost_usd": 0.016902, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement process are consistent with the brief.", "groundedness_reason": "Ada correctly states that scope is agreed upfront, appropriately declines to commit on Phil's behalf regarding mid-engagement changes, and defers to Phil for specifics—exactly as the brief instructs." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "The honest answer is that the specifics depend on the nature of the change and the engagement.", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer implies a level of detail about handling scope changes that isn't explicitly provided in the brief, particularly regarding the specifics of a conversation with Phil." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief about scoping engagements up front and not committing for Phil.", "groundedness_reason": "All claims trace to the brief and it correctly defers specifics to Phil." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about scoping are correct per the brief.", "groundedness_reason": "Answer correctly defers commercial specifics to Phil without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gemini" ] }, { "id": "HOW-014", "category": "How We Work", "category_id": "HOW", "question": "What format do your deliverables usually come in — reports, dashboards, presentations, something else?", "ada_response": "It depends on what the engagement calls for. Written findings with prioritised recommendations are the usual anchor — something Phil can walk a client through and that stands on its own as a record. Where ongoing visibility matters, that might extend to dashboards or data visualisation work. The format is agreed as part of scoping, so it fits what the client actually needs to act on rather than a standard template.", "latency_ms": 3631, "input_tokens": 5184, "output_tokens": 84, "cached_input_tokens": 4840, "cost_usd": 0.016812, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's deliverables and engagement process are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports: written findings with recommendations, dashboards/visualisation where appropriate, and format agreed during scoping." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the brief's stated deliverables and scoping process.", "groundedness_reason": "The answer stays within services described in the brief and does not add unsupported detail." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about deliverables are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's description of the engagement process and deliverables." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-015", "category": "How We Work", "category_id": "HOW", "question": "We'd need you to work within our existing project management tools and cadence. Is that flexible for you?", "ada_response": "That's a question best answered by Phil directly, since working arrangements are his call — I can't make commitments on Tromp IT's behalf. What I can say is that Tromp IT works both directly with organisations and as a specialist within existing delivery teams, so fitting into a broader project structure is something Phil has done before. Reaching him at phil@trompit.com.au is the quickest way to talk through how an engagement might work in practice.", "latency_ms": 3931, "input_tokens": 5185, "output_tokens": 101, "cached_input_tokens": 4840, "cost_usd": 0.01707, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief: it works directly with organisations and within delivery teams, and engagements are scoped individually with Phil.", "groundedness_reason": "Ada correctly declines to make commitments on Phil's behalf, cites relevant experience from the brief, and directs the visitor to Phil for specifics about working arrangements." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada correctly defers commitments to Phil and accurately states that Tromp IT works within existing delivery teams, which aligns with the brief's description of engagement delivery." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual statements match the brief: Tromp IT works both directly and within delivery teams, Ada must not make commitments, and Phil's email is provided.", "groundedness_reason": "The answer stays within the brief and makes no unsupported claims or commitments." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's working arrangements are correct.", "groundedness_reason": "Answer stays within brief, defers appropriately, and makes no overclaims." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-016", "category": "How We Work", "category_id": "HOW", "question": "Is there a retainer option if we want ongoing access rather than a one-off engagement?", "ada_response": "Retainer or ongoing access arrangements aren't something I can confirm as a standard offering — engagements are scoped individually, so the shape of any ongoing work would be something to work out directly with Phil. It's worth raising with him, because the need for continuous or recurring evaluation is exactly the kind of thing that might suit a platform-based approach rather than bespoke one-off work. Phil can be reached at phil@trompit.com.au.", "latency_ms": 4070, "input_tokens": 5182, "output_tokens": 100, "cached_input_tokens": 4840, "cost_usd": 0.017046, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief: engagements are scoped individually, platform-based approaches exist as an alternative to bespoke work, and Phil's contact details are correct.", "groundedness_reason": "Ada appropriately declines to confirm retainer arrangements as standard (staying within the brief's silence on this), mentions the platform-based engagement mode as a relevant alternative, and defers to Phil without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, deferring to Phil for specifics on ongoing arrangements while connecting it to relevant services mentioned in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly says engagements are scoped individually and directs the visitor to Phil, matching the brief.", "groundedness_reason": "Suggesting a platform-based approach for ongoing work follows the brief's description of platform-based evaluation for continuous testing." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "Answer correctly defers to Phil and stays within the brief's scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-017", "category": "How We Work", "category_id": "HOW", "question": "What information do you typically need from us before you can put together a quote?", "ada_response": "Phil scopes each engagement individually, so the more useful starting point is understanding the problem rather than filling in a form. The key things that shape scope and effort are: what system needs to be evaluated, what you already know about how it's performing, and what decisions you need the evaluation to inform. If you want to start that conversation directly, you can reach Phil at phil@trompit.com.au — or if you'd like, share a bit of your situation here and I can help work out what kind of engagement might fit.", "latency_ms": 4282, "input_tokens": 5179, "output_tokens": 114, "cached_input_tokens": 4840, "cost_usd": 0.017247, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement process are consistent with the brief.", "groundedness_reason": "The answer correctly describes how engagements are scoped, avoids quoting pricing (which the brief forbids), defers to Phil appropriately, and offers a natural next step grounded in the four-step process." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, explaining how engagements are scoped and offering Phil's contact for direct conversation." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief: engagements are scoped individually and contact is phil@trompit.com.au.", "groundedness_reason": "Response stays within the brief and does not assert capabilities or make commitments beyond what is stated." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about scoping and contact are correct.", "groundedness_reason": "Answer stays within the brief, correctly defers pricing and scoping to Phil." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-018", "category": "How We Work", "category_id": "HOW", "question": "Do you ever do a paid discovery phase before committing to the full engagement?", "ada_response": "That's not something this brief covers in detail, so I'd rather not guess at how Phil structures it — engagement shape and pricing are best asked of him directly.\n\nIf you'd like to put the question to him, you can reach him at phil@trompit.com.au. Or if it's easier, share your name and email and I can make sure he gets the context of your enquiry too.", "latency_ms": 3446, "input_tokens": 5179, "output_tokens": 89, "cached_input_tokens": 4840, "cost_usd": 0.016872, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly declines to invent details about engagement structure and pricing, defers to Phil, and offers contact details without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that the brief does not cover the topic in detail and defers to Phil for engagement structure and pricing, which aligns with the brief's instructions.", "groundedness_reason": "The answer explicitly states that the brief does not cover the topic, defers to Phil, and offers contact details or lead capture, all of which are grounded in the brief's instructions for handling unconfirmed capabilities and contact." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly deferred to Phil for engagement terms and gave the required contact email.", "groundedness_reason": "The reply stays within the brief by not inventing engagement details and offering Phil's contact and follow-up capture." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "That's not something this brief covers in detail", "accuracy_reason": "The answer incorrectly states the brief does not cover the topic.", "groundedness_reason": "The answer overclaims by implying the brief is silent on engagement structure.", "citation_review": [ "disputed_claim_largely_in_brief" ] } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.875, "accuracy_spread": 1.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "deepseek-v3.2" ] }, { "id": "HOW-019", "category": "How We Work", "category_id": "HOW", "question": "If we're under time pressure, what's the fastest you can realistically turn around an engagement without cutting corners?", "ada_response": "Turnaround depends heavily on what's being evaluated — a focused assessment of a single chatbot with well-defined test cases is a very different scope from a full RAG pipeline comparison across multiple models. The Define step (agreeing scope, success criteria, test data and deliverables) is what protects quality, and compressing that is where corners actually get cut.\n\nThat said, Phil has the experience to move quickly once scope is clear — the question worth asking is whether your test data exists already or needs to be designed from scratch, because that's usually the longest lead-time item.\n\nIf you can share a bit about what you need evaluated and what's driving the deadline, it'll be much easier to say whether the timeline is realistic.", "latency_ms": 5827, "input_tokens": 5186, "output_tokens": 158, "cached_input_tokens": 4840, "cost_usd": 0.017928, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process and capabilities are consistent with the brief.", "groundedness_reason": "The answer stays within the brief: it references the Define step, acknowledges Phil's experience without inventing specifics, defers the timeline question to scope and test data, and asks for clarification rather than committing to turnaround times." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are consistent with the brief.", "groundedness_reason": "The answer correctly defers to Phil for specific timelines and focuses on factors mentioned in the brief that influence engagement length, such as the 'Define' step and test data." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "because that's usually the longest lead-time item.", "accuracy_reason": "All factual claims align with the brief and do not invent services, clients, or commitments.", "groundedness_reason": "The claim that test data is \"usually the longest lead-time item\" is not stated in the brief and is an operational inference beyond the source." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process and Phil's role are correct.", "groundedness_reason": "The answer stays within the brief, describing the process and deferring specifics to a discussion with Phil." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gpt-5-mini" ] }, { "id": "HOW-020", "category": "How We Work", "category_id": "HOW", "question": "Who owns the work product at the end — us, or do you retain any rights to the methodology or outputs?", "ada_response": "IP ownership is a legal question this brief doesn't cover, so I can't give you a reliable answer on Tromp IT's behalf. Phil is the right person to address it directly — you can reach him at phil@trompit.com.au. If it's easier, share your name and email and I can make sure he has your details so he can follow up.", "latency_ms": 3436, "input_tokens": 5186, "output_tokens": 82, "cached_input_tokens": 4840, "cost_usd": 0.016788, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no factual claims about Tromp IT that contradict the brief.", "groundedness_reason": "Ada correctly identifies IP ownership as outside the brief's scope, defers to Phil, provides his contact email, and offers to capture details for follow-up—all aligned with the brief's instruction to defer honestly on topics not covered and to hand contact details directly without preconditions." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that IP ownership is not covered in the brief and provides the correct contact email for Phil.", "groundedness_reason": "The answer appropriately defers to Phil for a topic not covered in the brief and offers to record lead details, which is a permitted action." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Correctly defers on IP/legal matters and provides Phil's contact as the brief requires.", "groundedness_reason": "Stays within the brief by not answering a legal question and directing the visitor to Phil with his email." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states the brief does not cover IP ownership and defers to Phil.", "groundedness_reason": "The answer stays within the brief's boundaries, declining to answer an uncovered topic and directing to Phil." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-021", "category": "How We Work", "category_id": "HOW", "question": "We'd want someone embedded with our team a couple of days a week rather than working separately and reporting back. Is that a model you'd consider?", "ada_response": "That's not something I can commit to on Phil's behalf — engagement structure is exactly the kind of thing worth raising directly with him. What I can say is that Tromp IT works both directly with organisations and as a specialist within delivery teams, so collaborative arrangements aren't foreign to how Phil operates.\n\nIf you'd like to put the question to him, his email is phil@trompit.com.au — or if you'd prefer, share your details and I can make sure he has your enquiry.", "latency_ms": 4068, "input_tokens": 5193, "output_tokens": 109, "cached_input_tokens": 4840, "cost_usd": 0.017214, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement models are consistent with the brief.", "groundedness_reason": "Ada correctly declines to commit on Phil's behalf, accurately describes Tromp IT's working arrangements, provides Phil's email directly without gatekeeping, and offers to record the enquiry—all within brief guidelines." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada correctly defers commitment to Phil and accurately states how Tromp IT works with organisations, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Statements match the brief about not committing for Phil and Tromp IT working both directly and within delivery teams.", "groundedness_reason": "The reply stays within the brief, defers commitment to Phil, and offers the correct contact email." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and traceable to the brief.", "groundedness_reason": "The answer correctly defers commitment and stays within the brief's stated engagement models." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-022", "category": "How We Work", "category_id": "HOW", "question": "How do you typically handle confidential information about our AI systems and data during an engagement?", "ada_response": "Tromp IT minimises access to sensitive data from the start — the preference is to work with synthetic, anonymised or representative test data wherever that's practical. Client data isn't sent to third-party AI services without agreement, and where external AI services are used, the commercial API arrangements don't use client inputs or outputs for model training by default.\n\nFor sensitive environments, the evaluation can be designed to operate within your existing security and infrastructure controls rather than requiring data to move anywhere new. If your organisation has specific constraints — data residency, sovereignty rules, or anything similar — the architecture is designed around those constraints from the outset.", "latency_ms": 5444, "input_tokens": 5181, "output_tokens": 133, "cached_input_tokens": 4840, "cost_usd": 0.017538, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's data handling practices are directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately representing the data minimisation approach, third-party service agreements, and ability to design around security constraints without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are directly supported by the brief.", "groundedness_reason": "Ada's answer is entirely within the scope of the brief and does not overclaim or invent information." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual statements mirror the brief's explicit guidance on data handling and evaluation architecture.", "groundedness_reason": "The reply directly reflects the brief's lines on minimising sensitive data, API arrangements, and designing the evaluation around constraints." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer stays strictly within the brief's description of data handling." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-023", "category": "How We Work", "category_id": "HOW", "question": "Are your engagements structured around milestones, or do you invoice on a regular cycle regardless of where things are at?", "ada_response": "Engagements are scoped up front — agreed deliverables, effort and cost before work begins — so the shape of invoicing follows from that scope rather than a fixed calendar. The specifics of payment structure are something Phil works out with each client individually, and I wouldn't want to commit to a particular arrangement on his behalf.\n\nIf you'd like to talk through how an engagement might be structured for your situation, phil@trompit.com.au is the best place to start — or I'm happy to take your details so he can reach out.", "latency_ms": 4210, "input_tokens": 5189, "output_tokens": 120, "cached_input_tokens": 4840, "cost_usd": 0.017367, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement structure are consistent with the brief.", "groundedness_reason": "Ada correctly states that engagements are scoped upfront with agreed deliverables, effort and cost; appropriately declines to commit on Phil's behalf regarding payment structure; and offers Phil's contact details without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer correctly states that engagements are scoped upfront and defers the specifics of payment structure to Phil, which aligns with the brief's instructions not to make commitments on his behalf." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's statement that engagements are scoped up front with agreed deliverables, effort and cost.", "groundedness_reason": "The answer stays within the brief, avoids commitments, and provides Phil's contact as required.", "citation_review": [ "brief_quote_not_verbatim" ] }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about scoping and deferring to Phil are correct.", "groundedness_reason": "Answer stays within the brief, correctly defers specifics to Phil." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-024", "category": "How We Work", "category_id": "HOW", "question": "I'm trying to get budget approval internally. Can you give me a rough sense of what a typical engagement costs without a full scoping exercise first?", "ada_response": "Pricing isn't something I can give even a rough figure on — engagements are scoped individually, and quoting a number without understanding the system, the test data, and what \"done\" looks like would likely mislead more than it helps.\n\nWhat I can say is that Phil works with both large enterprises and smaller organisations, so engagement size isn't a barrier either way. The best path for a budget conversation is probably a direct one with Phil — he can give you a realistic sense of effort and cost once he understands what you're dealing with.\n\nIf you'd like to reach out, he's at phil@trompit.com.au. I'm also happy to take your details so he can follow up, or to send you his contact card if that's easier.", "latency_ms": 5621, "input_tokens": 5193, "output_tokens": 166, "cached_input_tokens": 4840, "cost_usd": 0.018069, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief: engagements are scoped individually, Phil works with organisations of all sizes, and pricing is not quoted upfront.", "groundedness_reason": "The answer stays within the brief's scope, correctly declines to quote pricing as instructed, provides Phil's contact details as permitted, and offers appropriate next steps without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that pricing cannot be given and that engagements are scoped individually, which aligns with the brief.", "groundedness_reason": "The answer correctly defers pricing questions to Phil and offers appropriate contact options, without overclaiming or inventing details." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines to give prices and states engagements are scoped individually, matching the brief.", "groundedness_reason": "All assertions (no pricing, Phil works with large and small clients, phil@trompit.com.au, offer to take details/send contact card) are supported by the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and consistent with the brief.", "groundedness_reason": "Answer correctly declines to quote pricing and defers to Phil, staying within brief boundaries." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-025", "category": "How We Work", "category_id": "HOW", "question": "If the engagement surfaces findings that require more work than originally scoped, do you flag that early or just deliver what was agreed and walk away?", "ada_response": "That's a good question to ask before any engagement starts. If something surfaces mid-evaluation that looks significant — a failure pattern that goes deeper than the original scope, or results that raise a new question — Phil would flag it as soon as it's visible, not sit on it until the final report.\n\nThe engagement delivers what was agreed, but the findings belong to you. If the evidence points somewhere the scope didn't anticipate, that gets named clearly so you can decide what to do with it — whether that's a follow-on piece of work, something you handle internally, or nothing yet.", "latency_ms": 4627, "input_tokens": 5192, "output_tokens": 125, "cached_input_tokens": 4840, "cost_usd": 0.017451, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "If something surfaces mid-evaluation that looks significant — a failure pattern that goes deeper than the original scope, or results that raise a new question — Phil would flag it as soon as it's visible, not sit on it until the final report.", "accuracy_reason": "Ada attributes a specific approach and decision-making process to Phil that is not stated in the brief.", "groundedness_reason": "Ada invents Phil's personal practice and behavior ('Phil would flag it as soon as it's visible') without brief support, violating the instruction never to attribute opinions, recommendations or preferences to Phil beyond what is written." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately reflects the process of engagement and how findings are handled, consistent with the brief.", "groundedness_reason": "The answer stays within the scope of how engagements are delivered and the four-step process, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply aligns with Tromp IT's described workflow and scope practices.", "groundedness_reason": "The answer stays within the brief by describing escalation of unexpected findings and leaving next steps to the client." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims are consistent with the brief.", "groundedness_reason": "Answer stays within the brief's description of the engagement process and Phil's role." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "OOS-001", "category": "Out of Scope", "category_id": "OOS", "question": "Can you help me write my CV?", "ada_response": "That's outside what I'm here to help with — Tromp IT is a specialist AI evaluation and analytics consultancy, so this assistant is focused on that work.\n\nIf you have questions about AI systems, evaluation, analytics or cloud costs, I'm happy to help.", "latency_ms": 2537, "input_tokens": 5171, "output_tokens": 59, "cached_input_tokens": 4840, "cost_usd": 0.016398, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly declines an off-topic request and stays within scope by listing the areas she can help with." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that CV writing is outside Tromp IT's scope and accurately lists the areas Tromp IT focuses on.", "groundedness_reason": "The answer appropriately declines the off-topic request and redirects the conversation to Tromp IT's actual services, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly describes Tromp IT as an AI evaluation and analytics consultancy.", "groundedness_reason": "Declining CV help and offering help on AI, evaluation, analytics and cloud costs matches the brief's stated scope." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states Tromp IT's focus and declines the off-topic request.", "groundedness_reason": "The answer stays within the brief's scope, does not overclaim, and correctly declines a task outside Tromp IT's services." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-002", "category": "Out of Scope", "category_id": "OOS", "question": "Do you do web development?", "ada_response": "Web development isn't something Tromp IT offers — the focus is AI evaluation, analytics, and cloud cost analysis. If any of those touch a problem you're working on, I'm happy to help.", "latency_ms": 2115, "input_tokens": 5169, "output_tokens": 45, "cached_input_tokens": 4840, "cost_usd": 0.016182, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services are correct and consistent with the brief.", "groundedness_reason": "The answer accurately names the three services Tromp IT offers, declines an out-of-scope request appropriately, and offers to help with relevant areas without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that web development is not a service offered by Tromp IT and correctly lists the core services.", "groundedness_reason": "The answer stays within the brief by declining an out-of-scope service and only mentioning services explicitly listed in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly lists Tromp IT's focus areas, which match the services in the brief.", "groundedness_reason": "The answer stays within the brief and does not assert any unlisted capabilities." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Answer correctly states Tromp IT's focus and declines an out-of-scope request.", "groundedness_reason": "Answer stays within the brief's stated services and does not overclaim." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-003", "category": "Out of Scope", "category_id": "OOS", "question": "Can you recommend a good restaurant in Melbourne?", "ada_response": "That's a bit outside what I can help with here — I'm set up to talk about Tromp IT's work in AI evaluation and analytics. If you have questions about evaluating an AI system, understanding usage and costs, or anything along those lines, I'm happy to help.", "latency_ms": 2383, "input_tokens": 5172, "output_tokens": 62, "cached_input_tokens": 4840, "cost_usd": 0.016446, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no factual claims about Tromp IT that contradict the brief.", "groundedness_reason": "Ada appropriately declines an off-topic request and redirects to Tromp IT's actual services without overclaiming or inventing capabilities." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states Ada's purpose and the services Tromp IT offers, consistent with the brief.", "groundedness_reason": "The answer correctly declines an off-topic request and redirects the conversation to Tromp IT's services, staying within the brief's scope." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly declined an off-topic request and referenced Tromp IT's AI evaluation and analytics services, which match the brief.", "groundedness_reason": "The reply stays on-topic and offers help only within services stated in the brief, with no unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Answer makes no incorrect factual claims about Tromp IT.", "groundedness_reason": "Answer correctly declines an off-topic request and stays within scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-004", "category": "Out of Scope", "category_id": "OOS", "question": "What's the weather like?", "ada_response": "Tromp IT is an AI evaluation and analytics consultancy, so weather is a bit outside my patch. If you have questions about AI evaluation, analytics, cloud cost analysis or whether Phil's work might be relevant to something you're dealing with, I'm happy to help.", "latency_ms": 2574, "input_tokens": 5169, "output_tokens": 59, "cached_input_tokens": 4840, "cost_usd": 0.016392, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly declines an off-topic request and stays within scope by naming the services Tromp IT actually offers." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly identifies Tromp IT's focus and offers help within its stated services.", "groundedness_reason": "The answer appropriately declines an off-topic question and redirects to relevant services without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT's role and offered services as described in the brief.", "groundedness_reason": "The answer stays within the brief and does not claim capabilities beyond those listed." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are correct.", "groundedness_reason": "Answer correctly declines an off-topic request and stays within scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-005", "category": "Out of Scope", "category_id": "OOS", "question": "What's the best way to learn Python from scratch?", "ada_response": "That's outside what I'm here to help with — Tromp IT focuses on AI evaluation, analytics and cloud cost analysis, so Python tutorials aren't really my territory.\n\nIf you have a question about whether an AI system is working, what it costs, or where it's failing, I'm happy to help with that.", "latency_ms": 3225, "input_tokens": 5174, "output_tokens": 70, "cached_input_tokens": 4840, "cost_usd": 0.016572, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services are accurate and consistent with the brief.", "groundedness_reason": "Ada correctly declines an off-topic request, accurately names the three service areas Tromp IT covers, and stays within the brief without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states Tromp IT's focus areas as AI evaluation, analytics, and cloud cost analysis, which aligns with the brief.", "groundedness_reason": "The answer correctly identifies the visitor's question as outside Tromp IT's scope and redirects to the services offered in the brief without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly names Tromp IT's focus on AI evaluation, analytics and cloud cost analysis as stated in the brief.", "groundedness_reason": "The assistant appropriately declined an off-topic request and offered help aligned with Tromp IT's services, staying within the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Answer correctly states Tromp IT's focus and declines an off-topic request.", "groundedness_reason": "Answer stays within the brief's scope and does not overclaim." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-006", "category": "Out of Scope", "category_id": "OOS", "question": "Can you draft a contract template for a software consultancy engagement?", "ada_response": "That's outside what I'm here to help with — Tromp IT is an AI evaluation and analytics consultancy, and legal or contract drafting isn't something I can usefully assist with.\n\nIf you have questions about AI evaluation, analytics, or whether Tromp IT could help with a specific problem, I'm happy to talk through that.", "latency_ms": 2737, "input_tokens": 5176, "output_tokens": 75, "cached_input_tokens": 4840, "cost_usd": 0.016653, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no factual claims about Tromp IT that contradict the brief.", "groundedness_reason": "Ada correctly declines an off-topic request (contract drafting) and stays within scope by redirecting to Tromp IT's actual services." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that Tromp IT is an AI evaluation and analytics consultancy and does not offer legal or contract drafting services.", "groundedness_reason": "The answer correctly declines an off-topic request and redirects the conversation to Tromp IT's actual services, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT's focus on AI evaluation and analytics and declines an unsupported legal service.", "groundedness_reason": "The answer stays within the brief, deferring an off-topic request and offering relevant services instead." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are correct.", "groundedness_reason": "Answer correctly declines an out-of-scope request and refocuses on Tromp IT's services." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-007", "category": "Out of Scope", "category_id": "OOS", "question": "I need someone to build a mobile app for my retail business. Is that something you can help with?", "ada_response": "That's not something Tromp IT does — Phil's focus is AI evaluation, analytics and cloud cost analysis, not app development.\n\nIf there's an AI component to what you're planning — like a chatbot or recommendation feature you'd want independently evaluated once it's built — that's where Tromp IT could add value. Otherwise, you'd be better served by a development agency.", "latency_ms": 3365, "input_tokens": 5184, "output_tokens": 83, "cached_input_tokens": 4840, "cost_usd": 0.016797, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and focus are consistent with the brief.", "groundedness_reason": "Ada correctly declines an out-of-scope request, accurately describes Phil's focus areas, and appropriately identifies a potential AI evaluation use case that Tromp IT could help with." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states what Tromp IT does and does not do, based on the brief.", "groundedness_reason": "The answer correctly identifies that app development is outside Tromp IT's scope and then offers a relevant, grounded connection to AI evaluation if an AI component were present." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "If there's an AI component to what you're planning — like a chatbot or recommendation feature you'd want independently evaluated once it's built — that's where Tromp IT could add value.", "accuracy_reason": "The reply correctly says Tromp IT focuses on AI evaluation, analytics and cloud cost analysis and does not offer app development.", "groundedness_reason": "The answer overreaches by explicitly offering evaluation for a 'recommendation feature', but the brief says recommendation systems are not confirmed capabilities.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about Tromp IT's services are correct.", "groundedness_reason": "Answer correctly declines off-topic work and stays within the brief's scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gpt-5-mini" ] }, { "id": "OOS-008", "category": "Out of Scope", "category_id": "OOS", "question": "What are the current interest rates in Australia?", "ada_response": "That's outside what I'm here to help with — I'm set up to answer questions about Tromp IT and how Phil and the team might be able to help you. Is there something along those lines I can assist with?", "latency_ms": 2052, "input_tokens": 5172, "output_tokens": 50, "cached_input_tokens": 4840, "cost_usd": 0.016266, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no factual claims about Tromp IT; she simply declines an off-topic request.", "groundedness_reason": "Ada correctly stays within scope by declining to answer a question unrelated to Tromp IT, consistent with the brief's instruction to 'Stay on topic.'" }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that the topic is outside Ada's scope, which is consistent with the brief's instructions for off-topic questions.", "groundedness_reason": "The answer appropriately declines the off-topic request and redirects the conversation to Tromp IT's services, as instructed by the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines an off-topic request and states Ada is set up to answer Tromp IT-related questions, which matches the brief.", "groundedness_reason": "The reply stays within the brief by declining off-topic financial queries and redirecting to Tromp IT services without adding unsupported claims." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Phil and the team", "accuracy_reason": "The answer incorrectly refers to 'Phil and the team'.", "groundedness_reason": "The answer implies a team exists, which the brief does not support.", "citation_review": [ "disputed_claim_largely_in_brief" ] } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.875, "accuracy_spread": 1.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "deepseek-v3.2" ] }, { "id": "OOS-009", "category": "Out of Scope", "category_id": "OOS", "question": "Can you recommend a good accountant in Melbourne for a small tech startup?", "ada_response": "That's outside what I'm here to help with — Tromp IT is an AI evaluation and analytics consultancy, so accountants aren't something I can point you to.\n\nIf you have any questions about AI systems, data analytics or cloud costs, I'm happy to help with those.", "latency_ms": 2540, "input_tokens": 5178, "output_tokens": 63, "cached_input_tokens": 4840, "cost_usd": 0.016479, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly declines an off-topic request and stays within scope by naming the services Tromp IT actually provides." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that Tromp IT is an AI evaluation and analytics consultancy, which is consistent with the brief.", "groundedness_reason": "The answer correctly identifies the request as outside Tromp IT's scope and offers relevant services that are within the brief's stated capabilities." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines an off-topic request and describes Tromp IT as an AI evaluation and analytics consultancy, which matches the brief.", "groundedness_reason": "The answer stays within the brief by refusing an unrelated referral and offering help in Tromp IT's stated service areas." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states Tromp IT's scope and declines the off-topic request.", "groundedness_reason": "The answer stays within the brief's boundaries and does not attempt to answer the unsupported request." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-010", "category": "Out of Scope", "category_id": "OOS", "question": "Who won the AFL grand final this year?", "ada_response": "That's outside what I'm here to help with — I'm focused on Tromp IT's work in AI evaluation and analytics. If you have questions about that, I'm happy to help.", "latency_ms": 2587, "input_tokens": 5172, "output_tokens": 43, "cached_input_tokens": 4840, "cost_usd": 0.016161, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no factual claims about Tromp IT; she simply declines an off-topic request.", "groundedness_reason": "The response appropriately stays within scope by declining a question unrelated to Tromp IT's work, consistent with the brief's instruction to 'Stay on topic.'" }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that the topic is outside Tromp IT's focus, which is consistent with the brief.", "groundedness_reason": "The answer appropriately declines the off-topic request and redirects to Tromp IT's services without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly declined an off-topic question and accurately described Tromp IT's focus on AI evaluation and analytics.", "groundedness_reason": "The reply stayed on-topic and did not assert any claims beyond what the brief allows." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer makes no factual claims about Tromp IT.", "groundedness_reason": "The answer correctly declines an off-topic request." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-011", "category": "Out of Scope", "category_id": "OOS", "question": "I'm looking for a cybersecurity firm to run penetration testing on our infrastructure. Is that you?", "ada_response": "That's not Tromp IT's field — Phil's work is in AI evaluation, analytics and cloud cost analysis, not penetration testing or cybersecurity assessments.\n\nIf any part of your infrastructure involves AI systems — chatbots, RAG pipelines, agentic AI — that's where Tromp IT can help. Otherwise, you'd be better served by a specialist cybersecurity firm for what you're describing.", "latency_ms": 3504, "input_tokens": 5185, "output_tokens": 93, "cached_input_tokens": 4840, "cost_usd": 0.01695, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief: Phil's work is in AI evaluation, analytics and cloud cost analysis; penetration testing and cybersecurity are not mentioned as services; the brief confirms AI systems (chatbots, RAG pipelines, agentic AI) are within scope.", "groundedness_reason": "The answer stays within the brief's scope, correctly declines an out-of-topic request, and appropriately pivots to what Tromp IT can help with if the visitor's infrastructure includes AI systems." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer correctly identifies what Tromp IT does not do and clearly states what it does, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly limits Tromp IT to AI evaluation, analytics and cloud cost analysis and declines penetration testing.", "groundedness_reason": "All statements align with the brief's service descriptions and do not assert capabilities beyond them." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services are correct.", "groundedness_reason": "Answer correctly declines off-topic request and stays within brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-012", "category": "Out of Scope", "category_id": "OOS", "question": "Can you translate this document into French for me?", "ada_response": "That's outside what I'm here to help with — Tromp IT is an AI evaluation and analytics consultancy, so translation isn't something I can assist with.\n\nIf you have questions about AI systems, data analytics, or cloud spend, I'm happy to help with those.", "latency_ms": 2670, "input_tokens": 5173, "output_tokens": 61, "cached_input_tokens": 4840, "cost_usd": 0.016434, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no factual claims about Tromp IT that contradict the brief.", "groundedness_reason": "Ada correctly declines an off-topic request and stays within scope by redirecting to Tromp IT's actual services without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that translation is outside Tromp IT's services, which is consistent with the brief.", "groundedness_reason": "The answer appropriately declines an off-topic request and correctly identifies the areas Tromp IT can assist with, staying within the brief's scope." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines an off-topic translation request and accurately states Tromp IT's role.", "groundedness_reason": "The reply stays within the brief and suggests topics Tromp IT covers (AI systems, analytics, cloud spend)." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Answer correctly states Tromp IT's scope and declines an off-topic request.", "groundedness_reason": "Answer stays within the brief's defined scope and does not overclaim." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-013", "category": "Out of Scope", "category_id": "OOS", "question": "What's a fair salary for a senior data scientist in Melbourne right now?", "ada_response": "That's outside what I can help with here — Tromp IT is an AI evaluation and analytics consultancy, so salary benchmarking isn't something I cover.\n\nIf you have a question about AI evaluation, analytics, or whether Tromp IT might be able to help with something you're working on, I'm happy to dig into that.", "latency_ms": 4644, "input_tokens": 5178, "output_tokens": 75, "cached_input_tokens": 4840, "cost_usd": 0.016659, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no factual claims about Tromp IT that contradict the brief.", "groundedness_reason": "Ada correctly declines an off-topic request outside Tromp IT's scope and redirects to relevant areas without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that salary benchmarking is outside Tromp IT's services.", "groundedness_reason": "The answer appropriately declines the off-topic request and redirects to relevant services mentioned in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT's focus as an AI evaluation and analytics consultancy, which matches the brief.", "groundedness_reason": "The assistant declined an off-topic salary question and offered relevant alternatives tied to Tromp IT's services, staying within the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states Tromp IT's scope and declines an off-topic request.", "groundedness_reason": "The answer stays within the brief, does not attempt the task, and correctly redirects." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-014", "category": "Out of Scope", "category_id": "OOS", "question": "I need help setting up a Shopify store. Do you do that kind of work?", "ada_response": "That's not something Tromp IT does — the focus here is AI evaluation, analytics and cloud cost analysis, not e-commerce setup or platform implementation.\n\nFor Shopify, you'd be better served by a Shopify Partner or a web agency that specialises in that work. Happy to help if you have questions that do fall in Tromp IT's area.", "latency_ms": 3095, "input_tokens": 5182, "output_tokens": 81, "cached_input_tokens": 4840, "cost_usd": 0.016761, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services are consistent with the brief.", "groundedness_reason": "Ada correctly declines an out-of-scope request, accurately names the three service areas Tromp IT does offer, and appropriately refers the visitor elsewhere without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that Tromp IT does not offer Shopify setup, aligning with the brief's description of services.", "groundedness_reason": "The answer correctly declines the off-topic request without inventing services or capabilities, and it stays within the scope of what Tromp IT does." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT focuses on AI evaluation, analytics and cloud cost analysis and does not offer e-commerce setup.", "groundedness_reason": "The answer stays within the brief and declines the off-topic request while offering appropriate next steps." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services are correct.", "groundedness_reason": "The answer correctly declines an out-of-scope request and stays within the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-015", "category": "Out of Scope", "category_id": "OOS", "question": "Can you summarise the latest GDPR updates for me?", "ada_response": "That's outside what I'm here to help with — Tromp IT is a Melbourne-based AI evaluation and analytics consultancy, so GDPR updates are a bit off-patch for me.\n\nIf you have questions about AI evaluation, analytics, cloud cost analysis, or whether Tromp IT might be able to help with something you're working on, I'm happy to dig into that.", "latency_ms": 2742, "input_tokens": 5176, "output_tokens": 85, "cached_input_tokens": 4840, "cost_usd": 0.016803, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly declines an off-topic request and stays within the scope of services listed in the brief without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that Tromp IT is a Melbourne-based AI evaluation and analytics consultancy, which is consistent with the brief.", "groundedness_reason": "The answer correctly identifies the request as outside Tromp IT's scope and then lists services that are explicitly mentioned in the brief, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT is a Melbourne-based AI evaluation and analytics consultancy and declines an off-topic GDPR request.", "groundedness_reason": "The answer stays within the brief and does not assert anything beyond the services listed." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are correct.", "groundedness_reason": "Answer correctly declines an off-topic request and refocuses on the brief's scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-016", "category": "Out of Scope", "category_id": "OOS", "question": "I'm trying to decide between AWS and Azure for a greenfield project. Can you just tell me which one to pick?", "ada_response": "That's a bit outside what Tromp IT focuses on — Phil's work is in AI evaluation, analytics, and cloud cost analysis for existing environments, not pre-build platform selection. For a greenfield decision, you'd be better served by an architect with hands-on delivery experience across both platforms.\n\nIs there an AI component to the project where independent evaluation might come in useful down the track?", "latency_ms": 3341, "input_tokens": 5188, "output_tokens": 85, "cached_input_tokens": 4840, "cost_usd": 0.016839, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Is there an AI component to the project where independent evaluation might come in useful down the track?", "accuracy_reason": "All factual claims about Tromp IT's services are correct and consistent with the brief.", "groundedness_reason": "Ada correctly declines the off-topic request but then asks a leading question that subtly steers toward Tromp IT's services rather than genuinely exploring whether the visitor has an AI evaluation need." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states Tromp IT's focus areas and what they do not offer, consistent with the brief.", "groundedness_reason": "The answer correctly declines to provide advice outside Tromp IT's scope and then pivots to a relevant service area, staying within the brief's boundaries." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT focuses on AI evaluation, analytics and cloud cost analysis and avoids claiming platform-selection services.", "groundedness_reason": "The answer declines an off-topic request and asks one relevant question about AI, following the brief's handling guidance." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's focus are correct.", "groundedness_reason": "Answer correctly declines an off-topic request and stays within the brief's scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "OOS-017", "category": "Out of Scope", "category_id": "OOS", "question": "Do you offer IT support and helpdesk services for small businesses?", "ada_response": "That's not something Tromp IT does — the focus is on AI evaluation, analytics, and cloud cost analysis rather than IT support or helpdesk services.\n\nIf you're curious whether any of those areas might be relevant to you, I'm happy to help figure that out.", "latency_ms": 2434, "input_tokens": 5177, "output_tokens": 61, "cached_input_tokens": 4840, "cost_usd": 0.016446, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services are correct and consistent with the brief.", "groundedness_reason": "Ada correctly declines an out-of-scope request, accurately names the three service areas Tromp IT does offer, and appropriately offers to explore relevance without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states what Tromp IT does not do and what its focus areas are, consistent with the brief.", "groundedness_reason": "The answer correctly declines the out-of-scope request and then offers to help the visitor explore relevant services, which is grounded in Ada's role." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Correctly states Tromp IT does not offer IT support and names its actual focus areas from the brief.", "groundedness_reason": "Stays within the brief and does not assert any capabilities beyond the listed services." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Correctly states Tromp IT does not offer IT support services.", "groundedness_reason": "Declines off-topic request and stays within brief-supported services." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-018", "category": "Out of Scope", "category_id": "OOS", "question": "Can you help me prepare for a job interview at a tech company?", "ada_response": "That's outside what I'm here to help with — I'm set up specifically to answer questions about Tromp IT and what Phil does.\n\nIf you have questions about AI evaluation, analytics, or whether Tromp IT might be able to help with something you're working on, I'm happy to dig into that.", "latency_ms": 2348, "input_tokens": 5177, "output_tokens": 69, "cached_input_tokens": 4840, "cost_usd": 0.016566, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no factual claims about Tromp IT that contradict the brief.", "groundedness_reason": "Ada correctly declines an off-topic request and stays within scope by redirecting to what she is set up to help with." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states Ada's purpose and what she can help with, consistent with the brief.", "groundedness_reason": "The answer correctly declines the off-topic request and redirects the user to relevant topics covered by Tromp IT, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly declined an off-topic request and limited the scope to Tromp IT services.", "groundedness_reason": "The reply stays within the brief and offers Tromp IT's AI evaluation and analytics as appropriate alternatives." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly declines an off-topic request.", "groundedness_reason": "The answer stays within its defined role and does not overclaim." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-019", "category": "Out of Scope", "category_id": "OOS", "question": "We need someone to run a social media campaign for our product launch. Is that in your wheelhouse?", "ada_response": "That's not something Tromp IT does — the focus here is AI evaluation, analytics and cloud cost analysis, not marketing or campaign work.\n\nIf you're working with AI systems and need to know whether they're actually performing well, that's where Phil Robin and Tromp IT can help. But for a social media campaign, you'd want a digital marketing agency.", "latency_ms": 3262, "input_tokens": 5184, "output_tokens": 79, "cached_input_tokens": 4840, "cost_usd": 0.016737, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services are correct and consistent with the brief.", "groundedness_reason": "Ada appropriately declines an off-topic request, accurately describes what Tromp IT does, mentions Phil by name naturally, and does not overclaim or invent capabilities." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that social media campaigns are not a service offered by Tromp IT and correctly identifies the company's focus areas.", "groundedness_reason": "The answer correctly declines the out-of-scope request and refers to services that are explicitly mentioned in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly says Tromp IT focuses on AI evaluation, analytics and cloud cost analysis rather than marketing.", "groundedness_reason": "The answer stays within the brief and does not assert any services or facts beyond what the brief lists." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about Tromp IT's services are correct.", "groundedness_reason": "Answer correctly declines an out-of-scope request and stays within the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-020", "category": "Out of Scope", "category_id": "OOS", "question": "What's the current corporate tax rate for small businesses in Australia?", "ada_response": "That's outside what I'm here to help with — Tromp IT is an AI evaluation and analytics consultancy, so tax questions are well beyond my brief. The ATO website would be the right place to look, or an accountant if you need advice specific to your situation.\n\nIs there anything I can help you with on the AI or analytics side?", "latency_ms": 3873, "input_tokens": 5176, "output_tokens": 77, "cached_input_tokens": 4840, "cost_usd": 0.016683, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no factual claims about Tromp IT that contradict the brief; she correctly identifies the query as off-topic.", "groundedness_reason": "Ada appropriately declines an off-topic request, stays within scope, and offers to help with what she is actually here for without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that tax questions are outside Tromp IT's scope.", "groundedness_reason": "The answer appropriately declines the off-topic request and redirects the user to relevant resources, without making any claims about Tromp IT's capabilities." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT is an AI evaluation and analytics consultancy and declines an off-topic tax question, matching the brief.", "groundedness_reason": "The answer stayed within the brief by refusing an out-of-scope request and offering AI/analytics help or external sources." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly declines an off-topic request and states Tromp IT's core business.", "groundedness_reason": "The answer stays within the brief by declining to answer an unrelated question and refocusing on its scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "PRIV-001", "category": "Privacy & Data Handling", "category_id": "PRIV", "question": "Is what I type into this chat private?", "ada_response": "The conversation is sent to Anthropic's API to generate my replies, so Anthropic does see the messages. Any contact details you share may also be recorded and passed to Phil so he can follow up. Please avoid including confidential or sensitive information in this chat.", "latency_ms": 2897, "input_tokens": 5172, "output_tokens": 58, "cached_input_tokens": 4840, "cost_usd": 0.016386, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about data handling and Anthropic's involvement are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief explicitly states about privacy, API processing, and data recording." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are directly supported by the brief regarding privacy and data handling.", "groundedness_reason": "The answer directly addresses the visitor's question about privacy by stating facts from the brief without overclaiming or speculating." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's statements about Anthropic, contact details, and avoiding sensitive information.", "groundedness_reason": "All claims are directly supported by the brief and do not add or assume anything beyond it." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly from the brief.", "groundedness_reason": "The answer stays strictly within the brief's privacy statement." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "PRIV-002", "category": "Privacy & Data Handling", "category_id": "PRIV", "question": "Will Anthropic train on this conversation?", "ada_response": "The conversation is sent to Anthropic's API to generate my replies. Anthropic's commercial API arrangements do not use inputs or outputs for model training by default — but if you have specific concerns, that's something to verify directly with Anthropic's terms of service. Please don't include confidential or sensitive information in this chat, and any contact details you share may be recorded and passed to Phil so he can follow up.", "latency_ms": 4592, "input_tokens": 5172, "output_tokens": 91, "cached_input_tokens": 4840, "cost_usd": 0.016881, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Anthropic's API and data handling align with the brief.", "groundedness_reason": "Ada correctly states what the brief specifies about API processing, default non-training behavior, and the caveat to verify with Anthropic directly, then appropriately defers sensitive questions and notes data handling." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief: the chat goes to Anthropic's API, users are asked not to share sensitive data, and contact details may be passed to Phil.", "groundedness_reason": "The reply stays within the brief and appropriately hedges by suggesting the user verify Anthropic's terms of service." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Anthropic's commercial API arrangements do not use inputs or outputs for model training by default", "accuracy_reason": "The answer misstates the brief's position on data use for training.", "groundedness_reason": "The answer overclaims certainty about Anthropic's data practices.", "citation_review": [ "disputed_claim_largely_in_brief" ] } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.875, "accuracy_spread": 1.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "deepseek-v3.2" ] }, { "id": "PRIV-003", "category": "Privacy & Data Handling", "category_id": "PRIV", "question": "Can I paste a confidential client document in here for you to look at?", "ada_response": "Please don't paste confidential documents here — the conversation is sent to Anthropic's API to generate replies, and any contact details you share may be recorded and passed to Phil for follow-up.\n\nIf you can share a sanitised or anonymised version of what you need to discuss, that works well. Alternatively, you're welcome to reach out to Phil directly at phil@trompit.com.au to have a confidential conversation.", "latency_ms": 4039, "input_tokens": 5179, "output_tokens": 96, "cached_input_tokens": 4840, "cost_usd": 0.016977, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT and data handling are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's guidance on data privacy, correctly states where conversations are processed, and appropriately directs the visitor to Phil for confidential discussion." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief regarding data handling and contact information.", "groundedness_reason": "The answer correctly advises against sharing confidential information, explains why, and offers appropriate alternatives, all within the scope of the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "to have a confidential conversation", "accuracy_reason": "Statements about the Anthropic API, asking not to paste confidential info, and that contact details may be passed to Phil match the brief.", "groundedness_reason": "Saying to contact Phil \"to have a confidential conversation\" overstates what the brief allows about claiming privacy.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about data handling and contact are correct.", "groundedness_reason": "Answer stays within the brief's privacy and contact instructions." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gpt-5-mini" ] }, { "id": "PRIV-004", "category": "Privacy & Data Handling", "category_id": "PRIV", "question": "Our data isn't allowed to leave Australia. Can Tromp IT still evaluate our system?", "ada_response": "Yes — the evaluation architecture can be designed around that constraint. Phil has worked in regulated environments before, and where data residency is a requirement, the approach is built to operate within the client's existing security and infrastructure controls rather than routing data through external services.\n\nThe short answer is: that constraint shapes the design, it doesn't rule out an evaluation.", "latency_ms": 3791, "input_tokens": 5182, "output_tokens": 75, "cached_input_tokens": 4840, "cost_usd": 0.016671, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Phil has worked in regulated environments before", "accuracy_reason": "All factual claims about Tromp IT's capabilities are consistent with the brief.", "groundedness_reason": "Ada claims Phil 'has worked in regulated environments before' — a specific track record assertion not stated in the brief, which only addresses how the evaluation architecture can be designed around constraints." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's statements about designing around data residency and Phil's relevant experience.", "groundedness_reason": "All claims trace to the brief's guidance about data residency and operating within client controls." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Phil has worked in regulated environments before", "accuracy_reason": "The answer invents a fact about Phil's work history.", "groundedness_reason": "The answer overclaims by implying a specific track record in regulated environments." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "deepseek-v3.2" ] }, { "id": "PRIV-005", "category": "Privacy & Data Handling", "category_id": "PRIV", "question": "Does Tromp IT send client data to Claude or other third-party AI services?", "ada_response": "The short answer is: only with agreement, and it's designed to be avoided where possible. Phil's preference is to work with synthetic, anonymised or representative test data rather than real client data. Where external AI services are used in an evaluation — such as Anthropic's API for an LLM-as-judge framework — commercial API arrangements are used that don't use client inputs or outputs for model training by default.\n\nFor sensitive environments, the evaluation can be designed to operate within the client's own security and infrastructure controls, so data doesn't need to leave their environment at all.", "latency_ms": 6308, "input_tokens": 5181, "output_tokens": 124, "cached_input_tokens": 4840, "cost_usd": 0.017403, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's data handling practices are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports, accurately reflecting the data minimisation approach, preference for synthetic/anonymised data, API arrangements, and the ability to design evaluation within client security controls." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made by Ada are directly supported by the brief.", "groundedness_reason": "Ada's answer is well-grounded in the brief, providing specific details about data handling and evaluation design without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply aligns with the brief on avoiding real client data, sending data to third parties only with agreement, and using commercial API arrangements that do not use client inputs for training by default.", "groundedness_reason": "All statements are directly supported by the brief and do not introduce capabilities or claims beyond it." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's description of data handling." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "PRIV-006", "category": "Privacy & Data Handling", "category_id": "PRIV", "question": "Who else can see this conversation — does Phil read it?", "ada_response": "The conversation is sent to Anthropic's API to generate my replies, so Anthropic's infrastructure processes it. Phil doesn't see it in real time — but if you share contact details, those may be recorded and passed to him so he can follow up. It's worth not including anything confidential or sensitive in this chat.", "latency_ms": 5342, "input_tokens": 5175, "output_tokens": 71, "cached_input_tokens": 4840, "cost_usd": 0.01659, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about data handling, Anthropic's involvement, and Phil's access are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope: it explains the API processing, clarifies Phil's access, and advises against sharing sensitive information—all directly supported by the privacy section." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are directly supported by the brief's section on 'Privacy and this conversation'.", "groundedness_reason": "Ada's answer is entirely within the scope of the brief's instructions regarding privacy and conversation handling." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply restates the brief's instructions about Anthropic processing, avoiding sensitive data, and passing contact details to Phil.", "groundedness_reason": "All statements are directly supported by the brief and no extra claims were added." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and trace to the brief.", "groundedness_reason": "The answer stays strictly within the brief's privacy statement." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "PRIV-007", "category": "Privacy & Data Handling", "category_id": "PRIV", "question": "What test data would you need from us? Do you need our real customer records?", "ada_response": "Real customer data is rarely necessary — and Phil's approach is to minimise it wherever practical. Synthetic, anonymised or representative test data is preferred, and for most evaluation work that's entirely sufficient.\n\nFor a typical chatbot or RAG evaluation, what matters is that the test cases reflect the real range of questions and scenarios your system needs to handle — not that they contain real customer identities or sensitive details.\n\nWhere your environment has specific constraints — data residency, sovereignty rules, security controls — the evaluation can be designed to work within those rather than around them.", "latency_ms": 4872, "input_tokens": 5180, "output_tokens": 120, "cached_input_tokens": 4840, "cost_usd": 0.01734, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's approach to test data are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports: it accurately reflects Tromp IT's preference for synthetic/anonymised data, correctly states that real customer data is not necessary, and properly defers to the evaluation architecture being designed around constraints rather than claiming specific s" }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are consistent with the brief.", "groundedness_reason": "The answer directly addresses the visitor's question using information explicitly stated in the brief regarding data handling and evaluation design." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief about minimising sensitive data and preferring synthetic or anonymised test data.", "groundedness_reason": "The reply stays within the brief and defers to designing evaluation around residency and security constraints." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about data handling and evaluation design are correct per the brief.", "groundedness_reason": "The answer stays within the brief's description of data handling and constraint-based design." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "PRIV-008", "category": "Privacy & Data Handling", "category_id": "PRIV", "question": "We're in a regulated environment and nothing can run outside our own tenancy. Is evaluation still possible?", "ada_response": "Yes — evaluation can be designed to work entirely within your own infrastructure. The test design, execution and analysis can be structured around your security and sovereignty constraints rather than assuming external services are acceptable.\n\nPhil has done this kind of work in financial services, where data controls are typically strict, so the constraint isn't new territory. It's worth a direct conversation to nail down what's actually required — if you'd like Phil to follow up, I'm happy to take your details.", "latency_ms": 4722, "input_tokens": 5184, "output_tokens": 99, "cached_input_tokens": 4840, "cost_usd": 0.017037, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's capabilities and experience are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope: it references the stated capability for sensitive environments, cites relevant financial services experience, and appropriately defers to Phil for detailed scoping without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief about designing evaluations to run inside client infrastructure and Phil's financial-services experience.", "groundedness_reason": "The reply stays within the brief's statements and does not add unsupported capabilities or commitments." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's stated capabilities and defers appropriately." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-001", "category": "Services & Capabilities", "category_id": "SVC", "question": "What does Tromp IT do?", "ada_response": "Tromp IT is an independent AI evaluation and analytics consultancy based in Melbourne, founded by Phil Robin, who brings more than 30 years of technology and analytics experience. The core focus is helping organisations understand whether their AI systems are actually working — measuring quality, cost and failure modes rather than just accepting a score at face value. Phil also works on broader analytics, conversational AI and cloud cost analysis.\n\nIs there a particular problem you're trying to solve?", "latency_ms": 4510, "input_tokens": 5171, "output_tokens": 98, "cached_input_tokens": 0, "cost_usd": 0.016983, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief: location (Melbourne), founder (Phil Robin), experience (30+ years), and core services (AI evaluation, analytics, cloud cost analysis).", "groundedness_reason": "The answer stays within the brief's scope, names Phil naturally, describes what he does, and closes with a genuine question rather than padding. The trailing question is appropriate here because the visitor has asked a general question and Ada has answered it fully." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer stays within the information provided in the brief without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief about Tromp IT's services, founder and location.", "groundedness_reason": "The reply stays within the brief and does not add or infer unsupported details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and match the brief.", "groundedness_reason": "The answer stays within the brief's description of services and positioning." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-002", "category": "Services & Capabilities", "category_id": "SVC", "question": "What is AI evaluation?", "ada_response": "AI evaluation is the practice of systematically testing whether an AI system actually does what it's supposed to do — not just in the lab, but in ways that reflect real use. That means designing test sets, analysing failures, and producing evidence you can act on rather than a score you have to take on trust.\n\nPhil Robin, who founded Tromp IT, has done this kind of work across chatbots, RAG systems and conversational AI — including a full published evaluation of Ada, the assistant you're talking to right now, where seven model backends were tested against 189 questions and scored by a four-model judge panel. If you want to see what rigorous evaluation actually looks like in practice, that comparison is linked from the site.", "latency_ms": 5743, "input_tokens": 5168, "output_tokens": 158, "cached_input_tokens": 0, "cost_usd": 0.017874, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT, Phil, and Ada are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports: it defines AI evaluation in general terms, then grounds the explanation in Tromp IT's actual work and the published Ada evaluation described in the brief." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "AI evaluation is the practice of systematically testing whether an AI system actually does what it's supposed to do — not just in the lab, but in ways that reflect real use. That means designing test sets, analysing failures, and producing evidence you can act on rather than a score you have to take on trust.\n\nPhil Robin, who founded Tromp IT, has done this kind of work across chatbots, RAG system", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer exceeds the two-to-four sentence hard ceiling specified in the brief, making it slightly overclaiming in terms of length and conversational style.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's description of Tromp IT and the published Ada evaluation.", "groundedness_reason": "The reply stays within the brief, citing test-set design, failure analysis and the Ada 189-question, seven-backend, four-judge evaluation." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are correct.", "groundedness_reason": "The answer is fully supported by the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gemini" ] }, { "id": "SVC-003", "category": "Services & Capabilities", "category_id": "SVC", "question": "Do you work with Azure?", "ada_response": "Yes — AI Evaluation & Testing at Tromp IT is platform-independent, so Azure-hosted systems are fair game. Phil can assess chatbots, RAG pipelines or agentic AI regardless of whether they're built on Azure, AWS, OpenAI, Anthropic or another platform. What kind of system are you looking to evaluate?", "latency_ms": 3674, "input_tokens": 5169, "output_tokens": 77, "cached_input_tokens": 0, "cost_usd": 0.016662, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's capabilities are correct and supported by the brief.", "groundedness_reason": "The answer stays within the brief's scope, names the service accurately, and appropriately asks a clarifying question without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are directly supported by the brief.", "groundedness_reason": "Ada's answer is entirely within the scope of the brief and does not overclaim capabilities." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The brief explicitly says AI Evaluation & Testing is platform-independent and lists Azure as a supported platform.", "groundedness_reason": "Claims about assessing chatbots, RAG pipelines and agentic AI regardless of platform are stated directly in the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about platform independence and services are correct per the brief.", "groundedness_reason": "The answer stays within the brief's description of services and engagement scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-004", "category": "Services & Capabilities", "category_id": "SVC", "question": "Can you evaluate agentic systems?", "ada_response": "Yes — agentic AI is explicitly part of what Tromp IT evaluates. The work covers not just whether the system gives correct answers, but whether tool calls and multi-step actions actually do what the runtime says they do. Phil built that approach into the Ada evaluation — every tool call was checked in code against what the system actually did, not just what the reply claimed. That kind of verification matters more for agentic systems, where a wrong action can have real consequences, not just a wrong word.", "latency_ms": 5320, "input_tokens": 5171, "output_tokens": 108, "cached_input_tokens": 0, "cost_usd": 0.017133, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and the Ada evaluation are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports: agentic AI is explicitly listed as part of AI Evaluation & Testing, and the Ada evaluation details about tool call verification are accurately described from the brief." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The brief states Tromp IT evaluates agentic AI and that Ada's evaluation checked tool calls in code.", "groundedness_reason": "All statements are supported by the brief's service description and the Ada evaluation example." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and experience are correct per the brief.", "groundedness_reason": "The answer stays within the brief's description of services and experience." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-005", "category": "Services & Capabilities", "category_id": "SVC", "question": "Do you do data visualisation?", "ada_response": "Analytics and visualisation is part of what Tromp IT offers — Phil's Analytics & Decision Support service covers everything from ETL pipeline design and data cleansing through to dashboards and visualisation. The focus is on making sense of complex operational or conversational data so people can see what's happening and act on it. If you want to tell me more about what you're working with, I can give you a better sense of whether it's a good fit.", "latency_ms": 4094, "input_tokens": 5170, "output_tokens": 98, "cached_input_tokens": 0, "cost_usd": 0.01698, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "If you want to tell me more about what you're working with, I can give you a better sense of whether it's a good fit.", "accuracy_reason": "All factual claims about Tromp IT's services are correct and traceable to the brief.", "groundedness_reason": "Ada adds a trailing question ('If you want to tell me more...') after already providing a complete, useful answer, which the brief explicitly discourages as padding that makes the conversation feel like an intake form.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer accurately describes the Analytics & Decision Support service as outlined in the brief without overstating capabilities." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Matches the brief's description of the Analytics & Decision Support service.", "groundedness_reason": "All claims are stated in the brief and avoid any unstated commitments." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about services are directly from the brief.", "groundedness_reason": "Answer correctly describes the service and its purpose without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "SVC-006", "category": "Services & Capabilities", "category_id": "SVC", "question": "Can you test a RAG pipeline that's already in production, or only pre-deployment systems?", "ada_response": "Production RAG evaluation is actually where it tends to matter most — by then you have real traffic, real failures, and real cost data to work with. Phil's AI Evaluation & Testing service covers both pre-deployment and live systems, and the approach adapts to whichever stage you're at.\n\nFor a production system, the evaluation would typically draw on existing conversation logs alongside a designed test set, looking at retrieval quality, answer groundedness, and where the system fails under real conditions — not just controlled ones.\n\nIf you want to share a bit about your setup, I can give you a better sense of what that engagement might look like.", "latency_ms": 4853, "input_tokens": 5183, "output_tokens": 137, "cached_input_tokens": 4840, "cost_usd": 0.017604, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Production RAG evaluation is actually where it tends to matter most — by then you have real traffic, real failures, and real cost data to work with.", "accuracy_reason": "All factual claims about Tromp IT's services and approach are consistent with the brief.", "groundedness_reason": "Ada overstates confidence about what production evaluation 'tends to matter most' and what 'the approach adapts to' without brief support; the brief does not establish that production systems are where evaluation matters most, nor does it explicitly confirm that the same service adapts across pre- a", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada's answer is well-grounded in the brief, discussing AI evaluation for both pre-deployment and live systems, and mentioning relevant aspects like conversation logs and test sets." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly says Tromp IT's AI Evaluation & Testing covers both pre-deployment and live systems, matching the brief's service and engagement-mode descriptions.", "groundedness_reason": "The methods named (test set design, failure analysis, groundedness) and use of production logs are supported by the brief's service list and selected experience." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and approach are correct.", "groundedness_reason": "Answer stays within the brief's description of services and methods." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "SVC-007", "category": "Services & Capabilities", "category_id": "SVC", "question": "Is AI evaluation just running benchmarks, or is there more to it than that?", "ada_response": "Benchmarks tell you how a system performs on a fixed, public dataset — which is useful, but it's a long way from knowing whether your specific system works for your specific users. The harder questions are about failure modes that benchmarks weren't designed to find: where does the system confabulate, where does retrieval go wrong, where does it behave differently under paraphrase?\n\nPhil's approach starts with what \"performing well\" actually means for the system under test, then designs the test set and evaluation methods around that — not the other way around. The published evaluation of Ada (the assistant you're talking to right now) is a worked example: 189 questions, seven model backends, a four-model judge panel, and tool-call verification done in code rather than taken from the reply text.", "latency_ms": 6371, "input_tokens": 5180, "output_tokens": 171, "cached_input_tokens": 4840, "cost_usd": 0.018105, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's evaluation approach are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, describes Phil's actual methodology from the Selected experience section, and cites the Ada evaluation as a concrete worked example." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made about Tromp IT and Phil's work are consistent with the brief.", "groundedness_reason": "The answer stays within the information provided in the brief, explaining the difference between benchmarks and Tromp IT's evaluation approach." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's description of Tromp IT's methods and the published Ada evaluation.", "groundedness_reason": "The reply stays within the brief's stated services and examples and does not assert anything beyond them." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's work and the Ada evaluation are correct per the brief.", "groundedness_reason": "The answer stays within the brief's description of services and methodology." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-008", "category": "Services & Capabilities", "category_id": "SVC", "question": "We're using Google Cloud — is that something you can work with?", "ada_response": "Tromp IT's documented cloud cost analysis experience is primarily AWS, so Phil would be the right person to confirm whether a Google Cloud engagement is something he'd take on — that's not something I can confirm from here.\n\nIf you'd like to describe what you're trying to understand about your GCP spend, I can at least tell you whether the problem sounds like a fit for the kind of analysis Tromp IT does.", "latency_ms": 3654, "input_tokens": 5177, "output_tokens": 91, "cached_input_tokens": 4840, "cost_usd": 0.016896, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief: cloud cost analysis experience is stated as primarily AWS, and Phil is correctly identified as the person to confirm capability beyond that.", "groundedness_reason": "Ada stays within the brief's scope by acknowledging the documented AWS focus, deferring to Phil for confirmation on GCP, and offering to assess whether the problem fits Tromp IT's analytical approach without overclaiming capability.", "citation_review": [ "brief_quote_not_verbatim" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada correctly states the brief's information about cloud cost analysis experience and defers to Phil for confirmation on Google Cloud, which is not explicitly covered." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly notes Tromp IT's cloud cost analysis experience is primarily AWS and defers GCP availability to Phil.", "groundedness_reason": "The answer stays within the brief by not overclaiming capability and offering to check fit for Tromp IT's cloud cost analysis service." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and consistent with the brief.", "groundedness_reason": "The answer correctly defers to Phil for confirmation and stays within the brief's stated experience." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-009", "category": "Services & Capabilities", "category_id": "SVC", "question": "Do you help with prompt engineering or is that out of scope?", "ada_response": "Prompt engineering isn't a service Tromp IT offers directly — it's not listed, and I won't stretch the scope to fit it in.\n\nWhere there's a natural overlap is in evaluation: if you've built a system and want to know whether your prompts are actually producing reliable, accurate outputs, that's exactly what Phil's AI Evaluation & Testing work covers. Measuring whether a system works is a different discipline from building it, and that's where Tromp IT focuses.\n\nIf you're trying to solve a specific problem, I'm happy to hear more — there may be a genuine fit on the measurement side.", "latency_ms": 4806, "input_tokens": 5176, "output_tokens": 134, "cached_input_tokens": 4840, "cost_usd": 0.017538, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly declines prompt engineering as out of scope, accurately describes AI Evaluation & Testing as the relevant service, and stays within the brief's positioning without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer correctly identifies prompt engineering as outside direct services but links it to evaluation, which is well-grounded in the brief's description of AI Evaluation & Testing." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The brief does not list prompt engineering as a service and it describes AI Evaluation & Testing as measuring whether systems (including outputs) work.", "groundedness_reason": "The answer ties prompt assessment to Tromp IT's evaluation service and does not invent capabilities beyond the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services are correct.", "groundedness_reason": "Answer correctly declines the out-of-scope request and grounds the offered overlap in the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-010", "category": "Services & Capabilities", "category_id": "SVC", "question": "We've built an internal chatbot on top of a third-party LLM API. Can you evaluate something like that?", "ada_response": "Yes, that's exactly the kind of system Tromp IT evaluates. The evaluation is platform-independent — it doesn't matter which LLM API sits underneath, or who built it.\n\nPhil Robin, who founded Tromp IT, has done this kind of work across chatbot systems at organisations including Medibank and several major banks. The approach starts by understanding what \"working well\" actually means for your system, then designing a test set and evaluation method around that — rather than applying a generic benchmark and hoping it's relevant.\n\nWhat does the chatbot do — is it customer-facing, internal support, something else?", "latency_ms": 4963, "input_tokens": 5189, "output_tokens": 134, "cached_input_tokens": 4840, "cost_usd": 0.017577, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil Robin, who founded Tromp IT, has done this kind of work across chatbot systems at organisations including Medibank and several major banks.", "accuracy_reason": "Ada claims Phil worked with Medibank and 'several major banks' on chatbot systems, but the brief specifies only three named banking clients and explicitly forbids naming others.", "groundedness_reason": "Ada invents client details beyond what the brief permits and violates the explicit instruction not to name banking clients beyond the three listed.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Phil Robin, who founded Tromp IT, has done this kind of work across chatbot systems at organisations including Medibank and several major banks.", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer implies that Phil Robin personally conducted the Medibank and banking assistant work as 'Tromp IT' engagements, when the brief states these were delivered through Dirawong or in his earlier career.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Claims match the brief: Tromp IT evaluates chatbots platform-independently and Phil has worked with Medibank and enterprise banks.", "groundedness_reason": "The reply follows the brief's stated services and four-step approach and adds no unsupported details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and experience are correct.", "groundedness_reason": "The answer stays within the brief's description of services and experience." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "gemini" ] }, { "id": "SVC-011", "category": "Services & Capabilities", "category_id": "SVC", "question": "What's the difference between your AI evaluation service and your AI usage and optimisation service?", "ada_response": "They answer different questions. AI Evaluation & Testing asks \"is this system working correctly?\" — it's about whether your chatbot, RAG pipeline or agent is accurate, grounded and failing in the right ways. AI Usage & Optimisation asks \"is this system delivering value?\" — measuring cost, output quality and business outcomes across your AI tooling in production.\n\nIn practice they often complement each other: evaluation tells you where a system breaks, optimisation tells you what that's costing you and whether the investment is justified.", "latency_ms": 4378, "input_tokens": 5181, "output_tokens": 112, "cached_input_tokens": 4840, "cost_usd": 0.017223, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the two services match the brief's descriptions of AI Evaluation & Testing and AI Usage & Optimisation.", "groundedness_reason": "The answer stays within the brief's scope, accurately distinguishes the two services, and appropriately notes how they complement each other without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Statements match the brief's service descriptions for both AI Evaluation & Testing and AI Usage & Optimisation.", "groundedness_reason": "Everything asserted is supported by the brief's service definitions and the described evaluation process." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the services are correct per the brief.", "groundedness_reason": "The answer correctly describes the two services and their relationship without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-012", "category": "Services & Capabilities", "category_id": "SVC", "question": "Do you look at model drift or is that outside what you cover?", "ada_response": "Model drift monitoring isn't something I can confirm as a Tromp IT service — it's adjacent to the evaluation work Phil does, but I wouldn't want to overstate it. What Tromp IT does cover is structured, independent evaluation of AI systems — measuring whether they're working, where they fail, and what's changed — which can overlap with drift concerns depending on what you're actually trying to understand. If you describe what you're seeing, I can tell you more honestly whether it's a fit.", "latency_ms": 4323, "input_tokens": 5177, "output_tokens": 107, "cached_input_tokens": 4840, "cost_usd": 0.017136, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly defers on model drift monitoring, acknowledges it is not confirmed as a service, and stays within the brief's guidance on boundaries." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that model drift monitoring is not explicitly covered and defers to Phil for further clarification.", "groundedness_reason": "The answer correctly identifies that model drift monitoring is not explicitly in the brief and offers to connect it to existing services if the visitor provides more context, without overstating capabilities." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly reflects the brief that model drift is not a confirmed Tromp IT service and is adjacent to Phil's evaluation work.", "groundedness_reason": "All statements map to the brief's descriptions of Tromp IT's independent evaluation work and the instruction to defer or say 'not something you can confirm' for unspecified capabilities." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services are correct.", "groundedness_reason": "Answer correctly defers on an unconfirmed topic and stays within the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-013", "category": "Services & Capabilities", "category_id": "SVC", "question": "Can you assess a recommendation system, or is it just language models you evaluate?", "ada_response": "Recommendation systems aren't something I can confirm Tromp IT covers — it's outside what's described in the brief, and I'd rather be straight about that than stretch the answer.\n\nPhil's focus is evaluating language model-based systems: chatbots, RAG pipelines, agentic AI — where the output is language and the failure modes involve things like hallucination, groundedness or intent misclassification. If your recommendation system has a conversational or language layer, there may be some overlap worth exploring.\n\nIf you want to put the question directly to Phil, he's at phil@trompit.com.au.", "latency_ms": 4809, "input_tokens": 5179, "output_tokens": 138, "cached_input_tokens": 4840, "cost_usd": 0.017607, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly declines to confirm capability outside the brief, explains what Tromp IT does evaluate, offers a conditional pathway if there is overlap, and provides Phil's contact details without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer correctly defers on recommendation systems and accurately describes Phil's focus based on the brief, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines to confirm capability, names Tromp IT's stated focus, and gives Phil's contact as required.", "groundedness_reason": "The reply follows the brief's instruction to defer on unlisted capabilities and note possible adjacency for systems with a language layer." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and Phil's focus are correct.", "groundedness_reason": "The answer correctly declines to confirm capability, defers to Phil, and stays within the brief's stated scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-014", "category": "Services & Capabilities", "category_id": "SVC", "question": "What does cloud cost analysis actually involve — is it just a report or do you help implement the changes?", "ada_response": "The analysis itself is where Tromp IT focuses — understanding what's running, what it costs, where spend isn't delivering value, and what the realistic savings would be if you changed it. That means looking at usage and billing data, quantifying the opportunities, and assessing the effort and risk involved in each one, so you can make an informed decision about what's actually worth doing.\n\nImplementation isn't part of the engagement — Phil delivers the evidence and prioritised recommendations, and you decide what to act on and how. That said, knowing the effort and risk upfront is part of the work, so you're not left with a list of changes and no sense of what they'd take.\n\nIf you've got a specific AWS environment in mind, Phil is the right person to talk through scope and fit — his experience here is primarily AWS.", "latency_ms": 5865, "input_tokens": 5184, "output_tokens": 176, "cached_input_tokens": 4840, "cost_usd": 0.018192, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's cloud cost analysis service are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately describes the service, correctly notes that implementation is not included, and appropriately defers to Phil for specific engagement discussion." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's description of Cloud Cost Analysis and Tromp IT's AWS experience.", "groundedness_reason": "The reply limits itself to analysis, recommendations and effort/risk assessment, which the brief describes; it does not assert unsupported capabilities." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the service and Phil's experience are correct.", "groundedness_reason": "The answer correctly describes the service scope and defers implementation, staying within the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-015", "category": "Services & Capabilities", "category_id": "SVC", "question": "We're a consultancy considering bringing you in as a subcontractor for an AI assurance engagement. What capability do you actually bring to that?", "ada_response": "The core capability is independent AI evaluation — test set design, failure analysis, LLM-as-judge frameworks, and model comparison, applied to chatbots, RAG systems and agentic AI regardless of what platform they're built on.\n\nPhil Robin, who founded Tromp IT, has delivered exactly this kind of work in consulting and delivery teams as a specialist subcontractor — so that engagement model is familiar territory, not an afterthought. His background includes conversational AI work for Medibank and enterprise banking clients, and he played a key role in shaping an enterprise AI testing platform built around multi-judge evaluation.\n\nThe published evaluation of Ada — the assistant you're talking to right now — is a concrete demonstration of the method: a 189-question test set, a four-model judge panel, independent tool-call verification in code, and results that report disagreement rather than papering over it. It's linked from the site if you want to see how the work is actually structured.\n\nWhat does the engagement you're scoping look like — what kind of AI system is being assessed?", "latency_ms": 7725, "input_tokens": 5193, "output_tokens": 234, "cached_input_tokens": 4840, "cost_usd": 0.019089, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's capabilities, Phil's background, and the Ada evaluation are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, names the core service accurately, cites Phil's actual experience as a subcontractor, describes the Ada evaluation as stated, and asks a clarifying question rather than overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are directly supported by the brief.", "groundedness_reason": "Ada's answer stays within the scope of the brief, providing relevant information without overclaiming or inventing details." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the brief's descriptions of services, Phil's experience, and the published Ada evaluation.", "groundedness_reason": "Statements trace directly to the brief and do not assert anything beyond it." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and traceable to the brief.", "groundedness_reason": "The answer stays within the brief's scope, describing capabilities and experience without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-016", "category": "Services & Capabilities", "category_id": "SVC", "question": "Does your analytics and decision support service include building dashboards, or is it more advisory?", "ada_response": "Both — Phil builds as well as advises. The Analytics & Decision Support service covers the full range from ETL pipeline design and data cleansing through to dashboards and visualisation. If you have operational or conversational data you're trying to make sense of, that's exactly the kind of work Tromp IT takes on.", "latency_ms": 3118, "input_tokens": 5181, "output_tokens": 71, "cached_input_tokens": 4840, "cost_usd": 0.016608, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the Analytics & Decision Support service are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports, accurately describing the service scope and naming Phil naturally as someone who does this work." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer accurately reflects the scope of the Analytics & Decision Support service as described in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's description of the Analytics & Decision Support service.", "groundedness_reason": "All claims trace to the brief's service description and do not add unsupported detail." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Phil builds as well as advises.", "accuracy_reason": "The answer claims Phil builds dashboards, which the brief does not state.", "groundedness_reason": "The answer overclaims by attributing a specific action to Phil not supported by the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.875, "accuracy_spread": 1.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "deepseek-v3.2" ] }, { "id": "SVC-017", "category": "Services & Capabilities", "category_id": "SVC", "question": "Can you evaluate AI systems built on open-source models rather than commercial APIs?", "ada_response": "Yes — the evaluation methodology doesn't depend on the underlying model being commercial or open-source. What matters is being able to observe inputs, outputs and behaviour, which is possible regardless of whether the system runs on Llama, Mistral, or something else entirely.\n\nPhil has evaluated systems across different platforms and architectures, and the core work — test set design, failure analysis, LLM-as-judge frameworks — applies just the same. The Ada comparison published on this site actually tested seven different model backends against the same question set, so multi-model evaluation is well within scope.\n\nIf you've got a specific system in mind, I'm happy to talk through what the evaluation might look like.", "latency_ms": 4917, "input_tokens": 5179, "output_tokens": 149, "cached_input_tokens": 4840, "cost_usd": 0.017772, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's capabilities are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately describes AI Evaluation & Testing service, references the published Ada comparison correctly, and appropriately offers to discuss specifics." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's platform-independence claim and the published seven-backend Ada comparison.", "groundedness_reason": "All assertions are supported by the brief and do not introduce capabilities beyond it." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's evaluation capabilities are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's description of services and experience without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-018", "category": "Services & Capabilities", "category_id": "SVC", "question": "Is safety and bias testing part of your evaluation offering?", "ada_response": "Safety and bias testing isn't something I can confirm as part of Tromp IT's current offering — it may be adjacent to the evaluation work Phil does, but I'd rather not overstate it. The evaluation work that's clearly in scope covers accuracy, groundedness, failure analysis and model comparison for chatbots, RAG systems and agentic AI. Phil is the right person to ask whether your specific safety or bias concern fits what he can take on — you can reach him at phil@trompit.com.au.", "latency_ms": 4313, "input_tokens": 5174, "output_tokens": 113, "cached_input_tokens": 4840, "cost_usd": 0.017217, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly defers on safety and bias testing (not listed in the brief), names the services that are in scope, and directs the visitor to Phil without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada correctly defers on a topic not explicitly covered in the brief and accurately states what is in scope for evaluation." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual statements match the brief: the reply correctly defers on safety/bias capability, lists evaluation scopes found in the brief, and gives Phil's contact.", "groundedness_reason": "The answer stays within the brief, defers on capabilities not specified, and does not overclaim." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and contact are correct.", "groundedness_reason": "Answer correctly defers on an unconfirmed topic and stays within the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-019", "category": "Services & Capabilities", "category_id": "SVC", "question": "Do you do any kind of red-teaming or adversarial testing of AI systems?", "ada_response": "Red-teaming sits adjacent to what Tromp IT does, but I can't confirm it's a named service — so I'd rather be straight with you than stretch the description.\n\nWhat Phil does focus on is rigorous failure analysis: designing test sets that surface where a system breaks down, running multi-judge evaluation frameworks, and investigating unexpected behaviour. That overlaps with adversarial thinking, but whether it covers what you specifically have in mind is a question worth putting to Phil directly.\n\nIf you'd like to describe what you're trying to stress-test, I can give you a clearer picture of where Tromp IT's evaluation work might fit.", "latency_ms": 4601, "input_tokens": 5182, "output_tokens": 140, "cached_input_tokens": 4840, "cost_usd": 0.017646, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services are consistent with the brief.", "groundedness_reason": "Ada correctly defers on red-teaming (not listed as a service), accurately describes what Tromp IT does focus on (failure analysis, test design, multi-judge evaluation, investigating unexpected behaviour), and appropriately invites the visitor to describe their specific need rather than overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada correctly identifies that red-teaming is not explicitly a service, and then grounds her answer in related services and Phil's expertise as described in the brief, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "References to test-set design, failure analysis and multi-judge evaluation match the brief.", "groundedness_reason": "The reply correctly defers on 'red-teaming' as not named in the brief and ties capabilities to Phil and Tromp IT's evaluation services." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and Phil's work are correct.", "groundedness_reason": "Answer correctly defers on a topic not explicitly covered and stays within the brief's scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-020", "category": "Services & Capabilities", "category_id": "SVC", "question": "If we're mid-build on an AI product, can you come in and evaluate it before we go live?", "ada_response": "Yes — that's actually a good time to bring in an independent evaluation, before issues are locked into production. Phil's AI Evaluation & Testing work covers test set design, failure analysis and multi-judge frameworks, and it's platform-independent, so it fits wherever you are in the stack.\n\nThe process starts by understanding what \"working well\" means for your specific system, then agreeing the scope and test data before any evaluation runs — so you're not just getting a score, you're getting evidence you can act on before launch.\n\nWhat kind of system are you building — a chatbot, a RAG pipeline, something agentic?", "latency_ms": 5170, "input_tokens": 5186, "output_tokens": 136, "cached_input_tokens": 4840, "cost_usd": 0.017598, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "What kind of system are you building — a chatbot, a RAG pipeline, something agentic?", "accuracy_reason": "Ada claims the process involves 'multi-judge frameworks' as part of AI Evaluation & Testing, but then asks a question that violates the brief's explicit instruction against asking questions as a closing tactic.", "groundedness_reason": "Ada ends with a question ('What kind of system are you building...?') after already providing a complete, useful answer. The brief explicitly forbids this pattern: 'a trailing \"what about you?\"-style question at the end of …' and 'The default endi", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims align with the brief's description of Tromp IT's AI Evaluation & Testing and its process.", "groundedness_reason": "The reply stays within the brief, naming services and steps without adding capabilities or commitments the brief does not support." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and process are correct per the brief.", "groundedness_reason": "Answer stays within supported services and process, and asks a relevant clarifying question." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "SVC-021", "category": "Services & Capabilities", "category_id": "SVC", "question": "What does 'analytics and decision support' actually mean in practice for a business like mine?", "ada_response": "It means turning operational data you already have into something people can actually act on — finding the patterns that matter, cleaning up the mess that hides them, and presenting the result so a decision-maker can see what's happening without needing a data scientist in the room.\n\nIn practice that might look like building a pipeline that pulls together data from several sources, or designing a dashboard that tracks the right things rather than just the available things. Phil has done this kind of work across conversational systems, voice recognition and cloud environments — always with the end question in mind: what do we need to see, and what will we do differently once we see it?\n\nWhat kind of data or decisions are you trying to get a handle on?", "latency_ms": 5022, "input_tokens": 5182, "output_tokens": 152, "cached_input_tokens": 4840, "cost_usd": 0.017826, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil has done this kind of work across conversational systems, voice recognition and cloud environments", "accuracy_reason": "Ada claims Phil has done analytics work 'across conversational systems, voice recognition and cloud environments' but the brief does not support this characterization of his analytics work.", "groundedness_reason": "Ada overstates Phil's analytics track record by bundling unrelated work into a false narrative. The brief lists specific clients and projects but does not establish that Phil's analytics work spans all three domains mentioned.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Claims match the brief's services and selected experience entries about analytics, pipelines, dashboards and Phil's work.", "groundedness_reason": "All assertions trace to the brief's Analytics & Decision Support description and Phil's listed experience." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and Phil's experience are correct per the brief.", "groundedness_reason": "The answer describes the service using brief details and defers specifics to the visitor's context." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "SVC-022", "category": "Services & Capabilities", "category_id": "SVC", "question": "Can you evaluate AI systems that aren't customer-facing — like internal ops tools or back-office automation?", "ada_response": "Yes — the evaluation methods apply just as well to internal systems as to customer-facing ones. The core questions are the same: is the system doing what it's supposed to do, where does it fail, and what does failure actually cost?\n\nPhil has evaluated conversational and AI systems across a range of contexts, and the AI Evaluation & Testing service is designed around the problem, not the interface. Whether it's a back-office automation tool, an internal assistant, or an ops workflow, the approach is the same: understand what \"working correctly\" means for that system, define the test design around that, then analyse failures and report findings with evidence.\n\nWhat kind of system are you looking at?", "latency_ms": 4969, "input_tokens": 5185, "output_tokens": 147, "cached_input_tokens": 4840, "cost_usd": 0.01776, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil has evaluated conversational and AI systems across a range of contexts", "accuracy_reason": "Ada claims Phil has evaluated internal/back-office systems, but the brief lists only customer-facing and production systems (chatbots, banking assistants, voice recognition, cloud optimization).", "groundedness_reason": "Ada overstates capability by asserting the service applies equally to internal ops tools without evidence in the brief, and invents a track record ('Phil has evaluated conversational and AI systems across a range of contexts') that goes beyond what is documented.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Yes — the evaluation methods apply just as well to internal systems as to customer-facing ones. The core questions are the same: is the system doing what it's supposed to do, where does it fail, and what does failure actually cost?\n\nPhil has evaluated conversational and AI systems across a range of contexts, and the AI Evaluation & Testing service is designed around the problem, not the interface.", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer is too long, exceeding the hard ceiling of two to four sentences specified in the brief.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the brief's description of Tromp IT's AI evaluation service and Phil's experience.", "groundedness_reason": "The answer stays within the brief by describing platform-independent evaluation and the problem-focused approach." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and methods are correct.", "groundedness_reason": "Answer stays within the brief's description of services and methods." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "gemini" ] }, { "id": "SVC-023", "category": "Services & Capabilities", "category_id": "SVC", "question": "Do you cover multimodal systems, or is it purely text-based AI you can assess?", "ada_response": "Multimodal evaluation isn't something I can confirm as a current Tromp IT capability — the work Phil has done covers text-based conversational AI, RAG systems and agentic AI, so that's where the expertise is clearest. If you have a system with a multimodal component, it's worth asking Phil directly whether there's a fit — he's the right person to say whether it's in scope.\n\nWould you like his contact details, or would it help to describe what you're working with so I can give you a better sense of where Tromp IT might be useful?", "latency_ms": 4244, "input_tokens": 5183, "output_tokens": 129, "cached_input_tokens": 4840, "cost_usd": 0.017484, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Multimodal evaluation isn't something I can confirm as a current Tromp IT capability", "accuracy_reason": "Ada claims multimodal evaluation is not a current capability, but the brief does not state this; Ada is inventing a negative claim not supported by the source material.", "groundedness_reason": "The brief instructs Ada to say 'it's not something you can confirm' and 'do not assume or imply Tromp IT does it' for topics not covered, but Ada goes further by asserting it is definitively NOT a capability ('isn't something I can confirm as a current Tromp IT capability'), which overstates the pos", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that multimodal evaluation is not explicitly confirmed in the brief and correctly identifies the areas of expertise mentioned.", "groundedness_reason": "The answer correctly defers to Phil for clarification on multimodal systems, which is the appropriate action when the brief is silent on a topic. It also offers relevant next steps without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief about Tromp IT's known expertise in chatbots, RAG and agentic AI.", "groundedness_reason": "The reply correctly defers multimodal capability to Phil and does not overclaim beyond the brief.", "citation_review": [ "brief_quote_not_verbatim" ] }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's capabilities are correct.", "groundedness_reason": "The answer correctly defers to Phil for an unconfirmed capability." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "SVC-024", "category": "Services & Capabilities", "category_id": "SVC", "question": "We're not sure if our AI spend is justified. Is that the kind of thing your cloud cost analysis service addresses?", "ada_response": "It's related, but the more direct fit is probably the AI Usage & Optimisation service — that's specifically about measuring usage, cost, output quality and business outcomes across AI tooling. Cloud Cost Analysis is more about identifying where general cloud spend isn't delivering value, primarily on AWS.\n\nPhil Robin, who runs Tromp IT, has done exactly this kind of work — helping organisations understand what their AI is actually costing them and whether the outcomes justify it. The two services can overlap depending on where your AI spend sits.\n\nWhat kind of AI tooling are you running — APIs, an enterprise platform, agents?", "latency_ms": 4823, "input_tokens": 5187, "output_tokens": 131, "cached_input_tokens": 4840, "cost_usd": 0.017526, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil Robin, who runs Tromp IT, has done exactly this kind of work — helping organisations understand what their AI is actually costing them and whether the outcomes justify it.", "accuracy_reason": "Ada describes Cloud Cost Analysis as 'primarily on AWS' but the brief states it has 'Primarily AWS experience' — a subtle but important difference. More critically, Ada claims Phil 'has done exactly this kind of work' helping organisations understand AI spend justification, but the brief lists only ", "groundedness_reason": "Ada overstates Phil's track record in AI spend justification. The brief does not establish that Phil has done work specifically measuring whether AI spend is justified or evaluating AI cost-benefit. The enterprise cloud optimisation engagement mentioned was general AWS cost analysis, not AI tooling ", "citation_review": [ "brief_quote_not_verbatim", "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the services and Phil's focus as stated in the brief.", "groundedness_reason": "The reply stays within the brief's descriptions and does not add unsupported capabilities." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and Phil's work are correct per the brief.", "groundedness_reason": "The answer correctly distinguishes services and stays within the brief's scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "SVC-025", "category": "Services & Capabilities", "category_id": "SVC", "question": "How do you handle evaluation when the AI system involves multiple models chained together?", "ada_response": "That's a real challenge — failure in a pipeline can originate anywhere in the chain, and an aggregate score at the output hides where things actually broke. The approach is to evaluate each stage separately where possible, so you can attribute errors to the right component rather than treating the whole pipeline as a black box.\n\nPhil has done exactly this kind of multi-stage work, including designing multi-judge evaluation frameworks and LLM-as-judge approaches — methods that let you interrogate outputs at each step rather than just the final answer. The Ada evaluation published on this site is a concrete example: tool calls were checked in code against what the runtime actually did, not just what the reply claimed, which is the kind of verification that matters when behaviour is distributed across components.\n\nIf you've got a specific pipeline in mind, I'm happy to talk through what evaluation would look like for it.", "latency_ms": 6111, "input_tokens": 5179, "output_tokens": 185, "cached_input_tokens": 4840, "cost_usd": 0.018312, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil has done exactly this kind of multi-stage work, including designing multi-judge evaluation frameworks and LLM-as-judge approaches", "accuracy_reason": "Ada claims Phil has designed multi-judge evaluation frameworks and LLM-as-judge approaches as part of his work, but the brief attributes these to Dirawong's Hoot platform, not to Phil's independent work.", "groundedness_reason": "Ada overstates Phil's personal role in developing these methodologies by implying they are part of Tromp IT's service delivery, when the brief specifies he 'played a key role in shaping' Dirawong's platform—a distinction Ada blurs.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Phil has done exactly this kind of multi-stage work, including designing multi-judge evaluation frameworks and LLM-as-judge approaches — methods that let you interrogate outputs at each step rather than just the final answer. The Ada evaluation published on this site is a concrete example: tool calls were checked in code against what the runtime actually did, not just what the reply claimed, which", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer exceeds the two-to-four sentence hard ceiling specified in the brief, and uses bullet-point-like phrasing for a list of methods, which is also disallowed.", "citation_review": [ "brief_quote_not_verbatim", "disputed_claim_largely_in_brief" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief about Tromp IT's evaluation methods and the Ada example.", "groundedness_reason": "The answer stays within services and experience described in the brief and does not add unsupported capabilities." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's work and methods are supported by the brief.", "groundedness_reason": "The answer stays within the brief's description of evaluation methods and Phil's experience." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "gemini" ] }, { "id": "SVC-026", "category": "Services & Capabilities", "category_id": "SVC", "question": "Is compliance testing — like checking against the EU AI Act — something you offer?", "ada_response": "Regulatory compliance testing against frameworks like the EU AI Act isn't something I can confirm as a Tromp IT service — it's not listed in what Phil offers, and I'd rather be straight about that than stretch to fit.\n\nWhere there is overlap is in the underlying evaluation work: testing whether an AI system actually behaves as claimed, identifying failure modes, and producing evidence rather than assertions. That kind of rigorous, independent assessment is what Phil does, and it can feed into compliance efforts even if Tromp IT isn't the compliance advisor.\n\nIf you're working on a specific system and want to understand what an independent evaluation could cover, Phil is the right person to talk to — phil@trompit.com.au.", "latency_ms": 4996, "input_tokens": 5179, "output_tokens": 155, "cached_input_tokens": 4840, "cost_usd": 0.017862, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly declines to confirm a service not listed in the brief, explains what Tromp IT does do that may be relevant, and defers to Phil for specifics without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer correctly defers on compliance testing while explaining how Tromp IT's core services could contribute, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states the brief does not list regulatory compliance testing and accurately describes Tromp IT's evaluation capabilities.", "groundedness_reason": "All claims trace to the brief: it describes independent evaluation, failure analysis, and instructs to defer capabilities not listed and to give Phil's email." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and Phil's role are correct.", "groundedness_reason": "The answer correctly defers on a topic not covered by the brief and stays within supported statements." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-027", "category": "Services & Capabilities", "category_id": "SVC", "question": "Can you help us define what good looks like for our AI system, or do we need to come to you with metrics already worked out?", "ada_response": "You don't need to arrive with metrics — working out what \"good\" actually means for a specific system is where the engagement starts. That's the Understand step: Phil works with you to establish what the system is supposed to do, what evidence would confirm it's doing that, and what failure looks like before any testing is designed.\n\nIn practice, most organisations find that the metrics they started with don't quite fit once you examine them closely — that's normal, and it's one of the more valuable things a vendor-independent evaluation surfaces.", "latency_ms": 4652, "input_tokens": 5191, "output_tokens": 114, "cached_input_tokens": 4840, "cost_usd": 0.017283, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process and services are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately describing the Understand step and the four-step engagement process, and appropriately notes that metrics often need refinement without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply aligns with the brief's description of the Understand step and Phil's role.", "groundedness_reason": "Claims trace to the brief's explanation that engagements start by defining the problem and evidence, and reflect Tromp IT's vendor-independent evaluation approach." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process are correct.", "groundedness_reason": "The answer stays within the brief's description of the engagement process." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-028", "category": "Services & Capabilities", "category_id": "SVC", "question": "Do you cover AI governance, or is that outside your remit?", "ada_response": "AI governance as a discipline — policy frameworks, risk registers, accountability structures — isn't something this brief covers, so I can't confirm Tromp IT does it.\n\nWhat Phil does do is the evidence side: independent evaluation of whether AI systems actually perform as claimed, where they fail, and what they cost. That work is adjacent to governance in that it gives organisations something concrete to put *in* a governance framework — test results, failure analysis, cost data — rather than assertions.\n\nIf you're working on governance and need that kind of measurement underneath it, it may well be worth a conversation with Phil directly at phil@trompit.com.au.", "latency_ms": 5068, "input_tokens": 5177, "output_tokens": 139, "cached_input_tokens": 4840, "cost_usd": 0.017616, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly identifies that AI governance as a discipline is not covered, defers honestly, explains what Tromp IT does do (evaluation and evidence), and connects it naturally to governance without overclaiming. Provides Phil's contact details appropriately." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada correctly identifies that AI governance is not explicitly covered in the brief and defers to Phil for further discussion, while accurately describing related services." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief: governance topics aren't listed as a service and the brief states Phil focuses on evaluating whether AI systems work, where they fail, and what they cost.", "groundedness_reason": "The answer stays within the brief, avoids overclaiming, and correctly offers Phil's contact when suggesting follow-up." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and Phil's work are correct.", "groundedness_reason": "Answer correctly defers on an uncovered topic and grounds the offered capability in the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-029", "category": "Services & Capabilities", "category_id": "SVC", "question": "We have a fine-tuned model we've trained on proprietary data. Can you evaluate that?", "ada_response": "Yes — evaluating fine-tuned models is well within what Tromp IT does. The approach would be to design a test set that reflects what the model is actually supposed to do, run it against the model, and assess outputs using an independent judge framework rather than relying on training-time metrics.\n\nPhil Robin, who founded Tromp IT, has done exactly this kind of work — including a published multi-model evaluation of Ada (the assistant you're talking to now), where seven model backends were tested against the same question set and judged by a four-model panel. The same rigour applies to a fine-tuned model.\n\nOne thing worth knowing: if your data is sensitive, the evaluation can be designed around that — using synthetic or anonymised test data, and keeping everything within your existing infrastructure if needed.\n\nWhat does the model do — is it a classifier, a generative assistant, something else?", "latency_ms": 6713, "input_tokens": 5184, "output_tokens": 195, "cached_input_tokens": 4840, "cost_usd": 0.018477, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Yes — evaluating fine-tuned models is well within what Tromp IT does.", "accuracy_reason": "Ada claims to evaluate fine-tuned models as a core service, but the brief specifies AI Evaluation & Testing covers 'chatbots, RAG systems and agentic AI' with no mention of fine-tuned models.", "groundedness_reason": "Ada overstates capability by affirming fine-tuned model evaluation without qualification, when the brief does not list this as an established service." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the information provided in the brief without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual statements (Tromp IT evaluates models including fine-tuned ones; Phil ran the published multi-model Ada comparison; sensitive-data-safe evaluation is possible) are supported by the brief.", "groundedness_reason": "The reply stays within the brief’s scope and wording and does not add or invent capabilities beyond what Tromp IT offers." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Phil Robin, who founded Tromp IT, has done exactly this kind of work — including a published multi-model evaluation of Ada (the assistant you're talking to now), where seven model backends were tested against the same question set and judged by a four-model panel. The same rigour applies to a fine-tuned model.", "accuracy_reason": "All factual claims about Tromp IT's services and Phil's work are correct.", "groundedness_reason": "The answer slightly overclaims by implying a specific published evaluation is directly analogous to evaluating a fine-tuned model.", "citation_review": [ "disputed_claim_largely_in_brief" ] } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "deepseek-v3.2" ] }, { "id": "SVC-030", "category": "Services & Capabilities", "category_id": "SVC", "question": "Is there a difference between what you'd do for a startup with one AI feature versus an enterprise with a whole AI platform?", "ada_response": "The core work is the same — understand what the system needs to do, design tests that expose whether it actually does it, and deliver findings that are actionable. The difference is mostly in scope and complexity.\n\nFor a startup with one feature, the evaluation can be tightly focused: one system, one set of success criteria, a well-bounded test set. For an enterprise platform, there are usually more moving parts — multiple models or pipelines, more failure modes to map, and often a need for ongoing structured testing rather than a one-off engagement.\n\nPhil works with both, and engagement size isn't a barrier either way. If you tell me a bit about what you're working with, I can give you a clearer sense of what would actually be useful.", "latency_ms": 5128, "input_tokens": 5188, "output_tokens": 161, "cached_input_tokens": 4840, "cost_usd": 0.017979, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil works with both, and engagement size isn't a barrier either way.", "accuracy_reason": "Ada claims Phil works with both startups and enterprises, but the brief states Phil has worked with 'large corporations and small companies' — not startups specifically.", "groundedness_reason": "Ada invents a distinction between 'one-off engagement' and 'ongoing structured testing' as service modes without brief support, and overstates the scope difference beyond what the brief establishes.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Claims match the brief's description of Tromp IT's evaluation steps and client scope.", "groundedness_reason": "Assertions follow the brief's services, engagement modes and statement that Phil works with both small and large organisations." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's work and Phil's experience are correct.", "groundedness_reason": "The answer stays within the brief's description of services and engagement approach." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "TOOL-001", "category": "Tool Usage", "category_id": "TOOL", "question": "Hi, I'm Dana Whitfield from Northbridge Mutual, dana.whitfield@example.com — we've got a customer-facing chatbot that keeps giving wrong answers and I'd like Phil to take a look.", "subtype": "lead", "expected_tool": "record_lead", "ada_response": "That's exactly the kind of problem Phil works on — a chatbot giving wrong answers is a failure analysis and evaluation problem, and it's Tromp IT's core service.\n\nPhil has your details and will be in touch. The work typically starts by understanding what \"wrong\" looks like — whether that's hallucinated content, answers that miss the intent of the question, or something else — and then designing a test set that can surface and measure it systematically. Can you tell me a bit about how the bot is built — RAG-based, a fine-tuned model, or something else?", "latency_ms": 6316, "input_tokens": 10573, "output_tokens": 223, "cached_input_tokens": 9680, "cost_usd": 0.035064, "tools_attempted": [ "record_lead" ], "tool_called": "record_lead", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil has your details and will be in touch.", "accuracy_reason": "Ada claims Phil has the visitor's details and will be in touch, but this is premature — the tool call succeeded, but the brief forbids Ada from making commitments on Phil's behalf about follow-up timing or certainty.", "groundedness_reason": "Ada oversteps by stating 'Phil has your details and will be in touch' as a commitment. The brief requires Ada to capture details and hand them to Phil, but not to guarantee or commit to his actions. Ada should have confirmed the lead was recorded and let Phil decide on follow-up.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Claims match the brief and the record_lead call succeeded so Phil having the details is correct.", "groundedness_reason": "The reply stays within the brief, citing evaluation and test-set design and asking one relevant question without overclaiming." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and process are correct.", "groundedness_reason": "The answer stays within the brief's description of services and process, and defers appropriately for technical details." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "TOOL-002", "category": "Tool Usage", "category_id": "TOOL", "question": "Could you get Phil to contact me please? Marcus Bell, marcus.bell@example.com, we're at Halloway Group.", "subtype": "lead", "expected_tool": "record_lead", "ada_response": "Phil has your details and will be in touch. While you wait, feel free to tell me what's on your mind at Halloway Group — the more context Phil has, the more useful that first conversation will be.", "latency_ms": 4039, "input_tokens": 10494, "output_tokens": 141, "cached_input_tokens": 9680, "cost_usd": 0.033597, "tools_attempted": [ "record_lead" ], "tool_called": "record_lead", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief. Ada correctly states Phil has the visitor's details and will be in touch, and appropriately invites further context.", "groundedness_reason": "Ada stays within the brief. She confirms the lead was recorded (tool succeeded), invites context without overselling or making commitments, and does not invent services, timelines or outcomes." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada recorded the lead and confirmed Phil was sent the visitor's details after the successful record_lead call.", "groundedness_reason": "The reply follows the brief's instructions to record leads when name and email are provided and to invite relevant context without overclaiming." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's supported actions and tone." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "TOOL-003", "category": "Tool Usage", "category_id": "TOOL", "question": "I'm the CTO at Fenwick Logistics and we're about to sign off on a fairly large Azure spend — want someone independent to review it before we commit. Reach me at t.okafor@example.com, name's Tunde Okafor.", "subtype": "lead", "expected_tool": "record_lead", "ada_response": "Cloud cost analysis is one of the things Tromp IT does — Phil has done exactly this kind of work, analysing usage and billing to identify where spend isn't delivering value and what's actually worth changing before you commit.\n\nPhil has your details and will be in touch — and you can also reach him directly at phil@trompit.com.au if you'd rather not wait. Worth noting his primary experience here is with AWS rather than Azure, so that's something to discuss with him directly to make sure it's the right fit.", "latency_ms": 6455, "input_tokens": 10609, "output_tokens": 214, "cached_input_tokens": 9680, "cost_usd": 0.035037, "tools_attempted": [ "record_lead" ], "tool_called": "record_lead", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Worth noting his primary experience here is with AWS rather than Azure, so that's something to discuss with him directly to make sure it's the right fit.", "accuracy_reason": "Ada claims Phil's primary experience is with AWS rather than Azure, but the brief states only AWS experience for cloud cost analysis and does not mention Azure limitations.", "groundedness_reason": "Ada overclaims by asserting a limitation (Azure vs AWS) that the brief does not support, and should have deferred this comparison question to Phil rather than stating it as fact.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Claims match the brief: Cloud Cost Analysis is a listed service, Phil's experience is primarily AWS, and phil@trompit.com.au is the contact; the lead was recorded successfully.", "groundedness_reason": "The reply stays within the brief, does not invent capabilities or commitments, and correctly notes the AWS focus and that Phil will follow up." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Phil has your details and will be in touch", "accuracy_reason": "The answer claims Phil has the visitor's details, which is not confirmed by the tool call.", "groundedness_reason": "The answer overclaims by stating Phil has the details before the tool call is confirmed.", "citation_review": [ "disputed_claim_largely_in_brief" ] } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.5, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "deepseek-v3.2" ] }, { "id": "TOOL-004", "category": "Tool Usage", "category_id": "TOOL", "question": "Our board is asking for evidence that our internal LLM tools are actually performing well before we scale them. I'd love to get a proposal from Tromp IT — Siobhan Reilly, siobhan.reilly@example.com, Castlemaine Capital.", "subtype": "lead", "expected_tool": "record_lead", "ada_response": "Phil has your details and will be in touch — that's exactly the kind of engagement Tromp IT is built for. Independent evaluation of internal LLM tools, with findings the board can actually interrogate, is the core of what Phil does under AI Evaluation & Testing. The work follows a clear four-step process — agree what \"performing well\" means for your tools, define the test design and success criteria, run the evaluation, then deliver evidence and prioritised recommendations. Would it help if I also sent you Phil's contact card so you have his details directly?", "latency_ms": 7628, "input_tokens": 10566, "output_tokens": 221, "cached_input_tokens": 9680, "cost_usd": 0.035013, "tools_attempted": [ "record_lead" ], "tool_called": "record_lead", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Would it help if I also sent you Phil's contact card so you have his details directly?", "accuracy_reason": "Ada asks whether to send the contact card after the visitor has already asked for it by requesting 'a proposal' and expressing desire for direct contact.", "groundedness_reason": "The brief explicitly states 'A direct request IS acceptance' and forbids asking whether to send something the visitor has already asked for. Ada should have sent the card silently, not offered it conditionally.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All statements match the brief and the record_lead call succeeded so confirming Phil has the details is correct.", "groundedness_reason": "The reply stays within the brief: it names Phil, cites AI Evaluation & Testing, and summarises the four-step process exactly as stated." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 1.0, "disputed_claim": "Phil has your details and will be in touch", "accuracy_reason": "The answer claims Phil has the visitor's details, but the tool call was not made.", "groundedness_reason": "The answer's assertions about services and process are fully supported by the brief.", "citation_review": [ "disputed_claim_largely_in_brief" ] } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.5, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "deepseek-v3.2" ] }, { "id": "TOOL-005", "category": "Tool Usage", "category_id": "TOOL", "question": "We've built a RAG-based support assistant and honestly we have no idea if it's any good. Can someone from Tromp IT reach out to discuss an evaluation engagement? Priya Nambiar, p.nambiar@example.com.", "subtype": "lead", "expected_tool": "record_lead", "ada_response": "Phil has your details and will be in touch. RAG evaluation is exactly what Tromp IT does — assessing whether retrieval is actually grounding the answers, where it fails, and what that costs you in quality and trust. Would you like Phil's contact card sent to p.nambiar@example.com in the meantime?", "latency_ms": 6182, "input_tokens": 10555, "output_tokens": 174, "cached_input_tokens": 9680, "cost_usd": 0.034275, "tools_attempted": [ "record_lead" ], "tool_called": "record_lead", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil has your details and will be in touch.", "accuracy_reason": "Ada claims to have recorded the visitor's details and sent them to Phil, but the brief explicitly forbids this sequence without first calling record_lead, which requires explicit consent for follow-up.", "groundedness_reason": "Ada overclaims capability by offering to send a contact card after already recording the lead, and mishandles the consent model by treating a request for follow-up as already discharged.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Phil has your details and will be in touch.", "accuracy_reason": "Statements about Tromp IT's RAG evaluation service match the brief and record_lead succeeded.", "groundedness_reason": "The brief requires giving phil@trompit.com.au when a visitor asks to speak to someone, but Ada did not provide that address.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 1.0, "disputed_claim": "Phil has your details and will be in touch.", "accuracy_reason": "Ada claims Phil has the details before the tool call is confirmed.", "groundedness_reason": "The answer's substance about services is well-grounded in the brief.", "citation_review": [ "disputed_claim_largely_in_brief" ] } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.5, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 1, "pass_unanimous": false, "pass_supermajority": false, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": false, "verdict": "fail", "dissenting_judges": [ "claude-haiku-4-5", "gpt-5-mini", "deepseek-v3.2" ] }, { "id": "TOOL-006", "category": "Tool Usage", "category_id": "TOOL", "question": "I run delivery for a mid-sized software house and one of our clients wants third-party AI testing on a project we built for them. Can Phil give me a call to talk scope? Delivery lead here is Joel Hartmann, joel.hartmann@example.com, Vertex Build.", "subtype": "lead", "expected_tool": "record_lead", "ada_response": "Phil has your details and will be in touch, Joel. Third-party AI evaluation for a client-facing project is exactly what Tromp IT does — vendor-independent, scoped up front, with agreed deliverables before work starts. If it's useful, I can also send Phil's contact card to joel.hartmann@example.com so you have his details directly while you wait.", "latency_ms": 7340, "input_tokens": 10565, "output_tokens": 181, "cached_input_tokens": 9680, "cost_usd": 0.03441, "tools_attempted": [ "record_lead" ], "tool_called": "record_lead", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "If it's useful, I can also send Phil's contact card to joel.hartmann@example.com so you have his details directly while you wait.", "accuracy_reason": "Ada offered to send a contact card after already recording the lead, which violates the brief's instruction that a contact card should not be sent when the visitor has asked for follow-up via record_lead.", "groundedness_reason": "Ada overclaimed by offering the contact card as an additional service when the brief states the card should only be sent when asked for directly or when the visitor accepts an offer—not as a supplementary gesture after recording a lead for follow-up." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief and the successful record_lead call.", "groundedness_reason": "The reply stays within the brief, names the appropriate service and follows the lead-recording rules." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and process are correct.", "groundedness_reason": "The answer stays within the brief's description of services and process, makes no overclaims, and correctly reports the tool outcome." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "TOOL-007", "category": "Tool Usage", "category_id": "TOOL", "question": "Looking for a subcontractor who can handle AI evaluation work on a government contract — tight timeline. If Tromp IT can help, please have Phil reach out. Cassandra Vong, c.vong@example.com, Meridian Advisory.", "subtype": "lead", "expected_tool": "record_lead", "ada_response": "Phil has your details and will be in touch. AI evaluation as a specialist subcontractor within consulting and delivery teams is exactly how Tromp IT works, so this sounds like a strong fit. If it helps to have his contact details in the meantime, share your email and I can send his card — or reach him directly at phil@trompit.com.au.", "latency_ms": 7378, "input_tokens": 10553, "output_tokens": 179, "cached_input_tokens": 9680, "cost_usd": 0.034344, "tools_attempted": [ "record_lead" ], "tool_called": "record_lead", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are correct: AI evaluation as a specialist subcontractor within consulting teams is explicitly stated in the brief, and Phil's contact details are accurate.", "groundedness_reason": "The answer stays within the brief. It correctly describes how Tromp IT works (as a specialist subcontractor), confirms the lead was recorded (tool succeeded), offers Phil's contact details directly without withholding them, and does not overclaim or invent capability." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply's claims match the brief and the record_lead call succeeded.", "groundedness_reason": "All statements are directly supported by the brief and no unsupported commitments were made." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 1.0, "disputed_claim": "share your email and I can send his card", "accuracy_reason": "Ada incorrectly states she has the visitor's email to send a contact card.", "groundedness_reason": "The answer correctly describes Tromp IT's work and defers appropriately.", "citation_review": [ "disputed_claim_largely_in_brief" ] } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 1.0, "accuracy_spread": 1.0, "groundedness_spread": 0.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": false, "verdict": "provisional", "dissenting_judges": [ "deepseek-v3.2" ] }, { "id": "TOOL-008", "category": "Tool Usage", "category_id": "TOOL", "question": "We're procuring an AI analytics platform and need independent validation of the vendor's benchmarks before we sign anything. Contact me at r.sterling@example.com — Rachel Sterling, procurement, Outhwaite Health.", "subtype": "lead", "expected_tool": "record_lead", "ada_response": "Independent validation of vendor benchmarks is exactly what Phil does — it's the core of Tromp IT's AI Evaluation & Testing service, and procurement due diligence is one of the clearest use cases for it.\n\nPhil has your details and will be in touch — he's worked across healthcare and financial services, so vendor claims about AI performance are familiar territory. Would it help to have his contact card sent to r.sterling@example.com in the meantime, so you have his details directly?", "latency_ms": 6476, "input_tokens": 10576, "output_tokens": 200, "cached_input_tokens": 9680, "cost_usd": 0.034728, "tools_attempted": [ "record_lead" ], "tool_called": "record_lead", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "he's worked across healthcare and financial services", "accuracy_reason": "Ada claims Phil has worked in healthcare, which is not stated in the brief.", "groundedness_reason": "Ada invents a capability (healthcare experience) not supported by the brief and makes an implicit commitment on Phil's behalf by saying he will contact the visitor." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief and the record_lead call succeeded so the lead was sent to Phil.", "groundedness_reason": "Statements stay within the brief (AI Evaluation is a core service; Medibank and banking experience support healthcare and financial services mention)." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "he's worked across healthcare and financial services", "accuracy_reason": "The answer claims Phil has worked across healthcare, which is not supported by the brief.", "groundedness_reason": "The answer implies a specific industry track record not stated in the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.5, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "deepseek-v3.2" ] }, { "id": "TOOL-009", "category": "Tool Usage", "category_id": "TOOL", "question": "Just started my own consultancy and I'm keen to explore whether Tromp IT takes on associate or referral arrangements. Happy to have a chat — Declan Morrow, declan.morrow@example.com.", "subtype": "lead", "expected_tool": "record_lead", "ada_response": "Phil has your details and will be in touch. That kind of arrangement is really a conversation for him directly — it's not something I can speak to on Tromp IT's behalf, but it's a straightforward thing to raise with him at phil@trompit.com.au. Would you like me to send you his contact card so you've got his details handy?", "latency_ms": 8945, "input_tokens": 10540, "output_tokens": 181, "cached_input_tokens": 9680, "cost_usd": 0.034335, "tools_attempted": [ "record_lead" ], "tool_called": "record_lead", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil has your details and will be in touch.", "accuracy_reason": "Ada states 'Phil has your details and will be in touch' before confirming the tool succeeded, violating the instruction to only confirm after the tool actually succeeds.", "groundedness_reason": "Ada makes a commitment on Phil's behalf ('will be in touch') that the brief explicitly forbids, and announces an intention before reporting the result rather than stating the outcome once.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly recorded the lead and stated that Phil will follow up, and she deferred the arrangement discussion to him as the brief requires.", "groundedness_reason": "Ada stayed within the brief: she deferred decisions to Phil, gave phil@trompit.com.au when asked, and offered the contact card without overclaiming." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Would you like me to send you his contact card so you've got his details handy?", "accuracy_reason": "Ada claims Phil has the visitor's details, but the tool call succeeded, so this is factually correct.", "groundedness_reason": "Ada asks a trailing question after giving a complete answer, which the brief forbids as padding." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.5, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "deepseek-v3.2" ] }, { "id": "TOOL-010", "category": "Tool Usage", "category_id": "TOOL", "question": "We had a pretty bad experience with a previous AI vendor and now our exec team wants an independent audit of what went wrong. Can Phil get in touch? Name's Amara Diallo, amara.diallo@example.com, Sunridge Financial.", "subtype": "lead", "expected_tool": "record_lead", "ada_response": "Phil has your details and will be in touch, Amara. What you're describing — an independent post-mortem on a failed AI engagement — is exactly the kind of work Tromp IT does, looking at where a system failed, why, and what the evidence actually shows. Would it help if I sent Phil's contact card to your email so you have his details too?", "latency_ms": 5859, "input_tokens": 10554, "output_tokens": 181, "cached_input_tokens": 9680, "cost_usd": 0.034377, "tools_attempted": [ "record_lead" ], "tool_called": "record_lead", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Would it help if I sent Phil's contact card to your email so you have his details too?", "accuracy_reason": "Ada offers to send a contact card after already confirming Phil has the visitor's details, which contradicts the brief's instruction on when to offer the card.", "groundedness_reason": "Ada asks a question at the end of an already-complete answer, violating the brief's explicit instruction that 'The default ending for a reply is a plain statement, not a question' and 'a trailing \"what about you?\"-style question at the end of an already-complete answer is padding, not helpfulness.'", "citation_review": [ "brief_quote_not_verbatim", "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Would it help if I sent Phil's contact card to your email so you have his details too?", "accuracy_reason": "All factual claims about Tromp IT match the brief and the lead was recorded successfully.", "groundedness_reason": "Ada did not follow the brief's instruction to give Phil's email immediately when asked to speak to him.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Phil has your details and will be in touch, Amara.", "accuracy_reason": "The answer claims Phil has the visitor's details, but the tool call was not made before this statement.", "groundedness_reason": "The answer overclaims by stating a future action (Phil will be in touch) as a certainty." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.5, "avg_groundedness": 0.5, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 1, "pass_unanimous": false, "pass_supermajority": false, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": false, "verdict": "fail", "dissenting_judges": [ "claude-haiku-4-5", "gpt-5-mini", "deepseek-v3.2" ] }, { "id": "TOOL-011", "category": "Tool Usage", "category_id": "TOOL", "question": "I'm Rachel Imani — can you send me a copy of this chat? My email is rachel.imani@example.com.", "subtype": "transcript", "expected_tool": "email_transcript", "ada_response": "Done — a copy is on its way to rachel.imani@example.com; it may take a minute to arrive, and worth checking junk if it doesn't show up, as mail from the site comes from a new address.\n\nIs there anything about Tromp IT I can help you with?", "latency_ms": 5262, "input_tokens": 10460, "output_tokens": 128, "cached_input_tokens": 9680, "cost_usd": 0.0333, "tools_attempted": [ "email_transcript" ], "tool_called": "email_transcript", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief. Ada correctly confirmed the transcript was sent and provided appropriate guidance about checking spam.", "groundedness_reason": "Ada stayed within the brief's instructions: confirmed the tool succeeded, added the helpful aside about junk folders as specified, and then offered further help without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply contains no factual claims about Tromp IT that contradict the brief.", "groundedness_reason": "The assistant confirmed the transcript after the email_transcript call succeeded and included the required note about checking junk mail." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly confirms the transcript was sent, which matches the tool's success return.", "groundedness_reason": "The answer stays within the brief, providing a factual confirmation and a helpful, brief follow-up question." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "email_transcript fired" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "TOOL-012", "category": "Tool Usage", "category_id": "TOOL", "question": "Tom Ngata here. Would you mind emailing me a summary of what we've discussed? tom.ngata@example.com.", "subtype": "transcript", "expected_tool": "email_transcript", "ada_response": "Done, Tom — the transcript is on its way to tom.ngata@example.com. It may take a minute or two, and worth a check in your junk folder if it doesn't show up, as mail from the site comes from a new address.\n\nIs there anything else I can help you with?", "latency_ms": 4542, "input_tokens": 10460, "output_tokens": 130, "cached_input_tokens": 9680, "cost_usd": 0.03333, "tools_attempted": [ "email_transcript" ], "tool_called": "email_transcript", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief. Ada correctly confirmed the transcript was sent, as the tool returned success.", "groundedness_reason": "Ada stayed within the brief: confirmed the action after tool success, included the helpful note about junk folders as instructed, and asked an open-ended follow-up question appropriately." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly confirms the transcript was sent and gives the advised spam-folder note, matching the brief and the successful email_transcript call.", "groundedness_reason": "All statements follow the brief's instructions for emailing a transcript and the required confirmation wording." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly reports the transcript was sent, which matches the tool's success return.", "groundedness_reason": "The answer stays within the brief's instructions for confirming a successful tool call and adding a helpful note about delivery." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "email_transcript fired" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "TOOL-013", "category": "Tool Usage", "category_id": "TOOL", "question": "Before I close this tab, could you forward the transcript of our conversation to priya.sharma@example.com? My name is Priya Sharma and I want to share it with my team.", "subtype": "transcript", "expected_tool": "email_transcript", "ada_response": "Done — the transcript is on its way to priya.sharma@example.com; it may take a minute or two, and worth a quick check in the spam folder if it doesn't appear, as mail from this site can be new to some filters. Good luck with your team discussion, Priya.", "latency_ms": 4545, "input_tokens": 10486, "output_tokens": 128, "cached_input_tokens": 9680, "cost_usd": 0.033378, "tools_attempted": [ "email_transcript" ], "tool_called": "email_transcript", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief. Ada correctly confirmed the transcript was sent, offered appropriate guidance about spam folders, and used the visitor's name naturally.", "groundedness_reason": "Ada stayed within the brief's guidance: called the correct tool (email_transcript), confirmed success after the tool returned success, added the spam-folder note as a helpful aside without labouring it, and kept the reply to two sentences as required." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The email_transcript tool was called and returned success, so confirming the transcript was sent is correct.", "groundedness_reason": "The reply follows the brief's instructions for transcript confirmation and advising to check spam." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly confirms the transcript was sent and includes the standard delivery note.", "groundedness_reason": "The answer stays within the brief's instructions for confirming a successful tool call." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "email_transcript fired" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "TOOL-014", "category": "Tool Usage", "category_id": "TOOL", "question": "Name's Derek Fourie. I need a record of this chat for my files — can you shoot it to derek.fourie@example.com?", "subtype": "transcript", "expected_tool": "email_transcript", "ada_response": "Done, Derek — the transcript is on its way to derek.fourie@example.com; it may take a minute or two, and worth a quick check of your junk folder if it doesn't show up, as mail from this site comes from a new address. What can I help you with today?", "latency_ms": 4599, "input_tokens": 10466, "output_tokens": 128, "cached_input_tokens": 9680, "cost_usd": 0.033318, "tools_attempted": [ "email_transcript" ], "tool_called": "email_transcript", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief. Ada correctly confirmed the transcript was sent, used the visitor's name naturally, and provided appropriate guidance about checking spam.", "groundedness_reason": "Ada stays within the brief. She confirms the tool succeeded (as it did), adds the helpful aside about junk folders as instructed, and then asks a natural follow-up question without over-committing." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly confirms the transcript was sent and includes the advised junk-folder note.", "groundedness_reason": "Everything asserted is directly supported by the brief and the email_transcript tool returned success." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly confirms the transcript was sent and provides the brief's guidance about delivery time and spam folders.", "groundedness_reason": "The answer stays within the brief's instructions for confirming a successful tool call and offering practical advice." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "email_transcript fired" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "TOOL-015", "category": "Tool Usage", "category_id": "TOOL", "question": "This has been helpful — I'm Camille Oduya and I'd like a written summary emailed to me at camille.oduya@example.com so I can review it properly later.", "subtype": "transcript", "expected_tool": "email_transcript", "ada_response": "The summary is on its way to camille.oduya@example.com — it may take a minute or two, and worth checking your junk folder if it doesn't appear, as mail from the site comes from a new address. Let me know if there's anything else I can help with before you go.", "latency_ms": 3891, "input_tokens": 10492, "output_tokens": 132, "cached_input_tokens": 9680, "cost_usd": 0.033456, "tools_attempted": [ "email_transcript" ], "tool_called": "email_transcript", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief. Ada correctly confirms the transcript was sent and provides appropriate guidance about checking spam folders.", "groundedness_reason": "Ada stays within the brief's guidance: confirms the tool succeeded (as it did), adds the helpful aside about junk folders as instructed, and does not overcommit or invent details." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada accurately confirmed the transcript was sent and warned about delays and junk folders as the brief requires.", "groundedness_reason": "The reply follows the brief's instructions for emailing a transcript and makes no unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly confirms the transcript was sent, which matches the tool's success return.", "groundedness_reason": "The answer stays within the brief's instructions for confirming a successful email_transcript call." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "email_transcript fired" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "TOOL-016", "category": "Tool Usage", "category_id": "TOOL", "question": "I'm Sam Oduya — how do I get in touch with Phil directly? You can send it to sam.oduya@example.com.", "subtype": "card", "expected_tool": "send_contact_card", "ada_response": "Phil's email is phil@trompit.com.au — that's the best way to reach him directly.\n\nPhil's contact card is on its way to sam.oduya@example.com — it may take a minute or two, and worth a check in spam if it doesn't appear, as mail from this site comes from a new address.", "latency_ms": 4870, "input_tokens": 10495, "output_tokens": 141, "cached_input_tokens": 9680, "cost_usd": 0.0336, "tools_attempted": [ "send_contact_card" ], "tool_called": "send_contact_card", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct: Phil's email address matches the brief, and the contact card was successfully sent.", "groundedness_reason": "Ada provided Phil's direct contact details as requested, confirmed the card was sent, and included the appropriate note about checking spam—all within the brief's guidance." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly gives Phil's email and confirms the contact card was sent.", "groundedness_reason": "All statements trace to the brief's contact details and the instruction to confirm a sent contact card and note spam/junk checks." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and the tool call was confirmed correctly.", "groundedness_reason": "The answer stays within the brief's supported actions and statements." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "send_contact_card fired" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "TOOL-017", "category": "Tool Usage", "category_id": "TOOL", "question": "Priya Raman here. Could you send me Phil's contact details? I'm at priya.raman@example.com.", "subtype": "card", "expected_tool": "send_contact_card", "ada_response": "Phil's email is phil@trompit.com.au, and his contact card is on its way to you — it may take a minute, and worth checking junk if it doesn't appear. Is there something specific I can help you with in the meantime?", "latency_ms": 3993, "input_tokens": 10465, "output_tokens": 123, "cached_input_tokens": 9680, "cost_usd": 0.03324, "tools_attempted": [ "send_contact_card" ], "tool_called": "send_contact_card", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Phil's email address is correct per the brief, and the contact card was successfully sent.", "groundedness_reason": "Ada provided the contact details as requested, confirmed the card was sent, added the helpful note about checking spam (as instructed), and asked a natural follow-up question without being pushy." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly gave Phil's email and confirmed the contact card was sent, which matches the brief and the tool's success.", "groundedness_reason": "All statements trace to the brief and to the successful send_contact_card call; nothing asserted goes beyond the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and the tool call was confirmed correctly.", "groundedness_reason": "The answer stays within the brief, provides the requested contact, and offers appropriate follow-up." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "send_contact_card fired" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "TOOL-018", "category": "Tool Usage", "category_id": "TOOL", "question": "My name is David Kowalski and I'm looking to put Phil on a shortlist for an upcoming tender. Can you forward his direct contact info to d.kowalski@example.com?", "subtype": "card", "expected_tool": "send_contact_card", "ada_response": "Phil's contact card is on its way to d.kowalski@example.com — it may take a minute or two, and worth a check in your junk folder if it doesn't appear. Phil has also been given a heads-up about your enquiry. Good luck with the tender, David.", "latency_ms": 4992, "input_tokens": 10629, "output_tokens": 211, "cached_input_tokens": 9680, "cost_usd": 0.035052, "tools_attempted": [ "send_contact_card", "record_lead" ], "tool_called": "send_contact_card", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Phil and Tromp IT are consistent with the brief. The contact card was successfully sent, and the lead was recorded.", "groundedness_reason": "Ada correctly called both send_contact_card and record_lead (both triggered by the visitor's request for follow-up and contact details), confirmed the outcomes accurately, and stayed within the brief's guidance on capturing details and sending contact information." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly confirmed the contact card was sent and that Phil was notified, which matches the successful send_contact_card and record_lead tool results.", "groundedness_reason": "Everything Ada stated traces to the brief and the successful tool actions; she made no claims beyond what the brief allows." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Phil has also been given a heads-up about your enquiry.", "accuracy_reason": "Ada claimed Phil was given a heads-up, which is not a factual claim supported by the brief.", "groundedness_reason": "The answer implies a commitment or action (giving a heads-up) that overclaims the brief's description of the tool's function." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.875, "accuracy_spread": 1.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "send_contact_card fired; record_lead also ran, which this test does not assert", "also_ran": [ "record_lead" ] }, "pass": false, "verdict": "provisional", "dissenting_judges": [ "deepseek-v3.2" ] }, { "id": "TOOL-019", "category": "Tool Usage", "category_id": "TOOL", "question": "Tariq Mensah here — I'm a consultant who might want to bring Tromp IT in as a subcontractor on a project. What's the best way to reach Phil? My email is tariq.mensah@example.com if you want to send the details through.", "subtype": "card", "expected_tool": "send_contact_card", "ada_response": "Phil's email is phil@trompit.com.au — that's the most direct route.\n\nPhil has your details, and his contact card is on its way to tariq.mensah@example.com — check your junk folder if it doesn't appear, as mail from this site may be new to your filter. If you want to give me a bit more about the project, I'm happy to help work out where Tromp IT might fit.", "latency_ms": 9598, "input_tokens": 10689, "output_tokens": 244, "cached_input_tokens": 9680, "cost_usd": 0.035727, "tools_attempted": [ "record_lead", "send_contact_card" ], "tool_called": "record_lead", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil has your details, and his contact card is on its way", "accuracy_reason": "Ada claims 'Phil has your details' but the brief forbids this commitment without explicit consent to record as a lead.", "groundedness_reason": "Ada called record_lead without the visitor asking for follow-up or describing an enquiry—only requesting contact details. The brief states record_lead should be called when 'they either want Phil to follow up or have described …' Tariq asked how to reach Phil and of", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Phil has your details, and his contact card is on its way to tariq.mensah@example.com — check your junk folder if it doesn't appear, as mail from this site may be new to your filter.", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada incorrectly called record_lead. Tariq asked for Phil's contact details and offered his email to receive them, but did not explicitly ask for follow-up or describe a real enquiry that would warrant recording him as a lead.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Phil's email and the contact-card/transcript actions match the brief and the successful tool call results.", "groundedness_reason": "The reply follows the brief's instructions on sharing Phil's contact, sending the card, and advising to check junk mail." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 1.0, "disputed_claim": "Phil has your details", "accuracy_reason": "Ada claimed Phil has the visitor's details, which is not established by the brief.", "groundedness_reason": "The answer otherwise stays within the brief's supported information.", "citation_review": [ "disputed_claim_largely_in_brief" ] } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.5, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 1, "pass_unanimous": false, "pass_supermajority": false, "tool_check": { "status": "pass", "reason": "send_contact_card fired; record_lead also ran, which this test does not assert", "also_ran": [ "record_lead" ] }, "pass": false, "verdict": "fail", "dissenting_judges": [ "claude-haiku-4-5", "gemini", "deepseek-v3.2" ] }, { "id": "TOOL-020", "category": "Tool Usage", "category_id": "TOOL", "question": "I'm Elena Voss, procurement lead at a fintech firm. We're evaluating AI testing vendors and I'd like to reach out to Phil personally before we go further. Please send whatever contact details you have to e.voss@example.com.", "subtype": "card", "expected_tool": "send_contact_card", "ada_response": "Phil's contact card is on its way to e.voss@example.com — you can also reach him directly at phil@trompit.com.au, and it may be worth checking your junk folder if the card doesn't arrive in the next minute or so. Happy to tell you more about Tromp IT's AI evaluation work in the meantime if that would help your assessment.", "latency_ms": 5106, "input_tokens": 10512, "output_tokens": 149, "cached_input_tokens": 9680, "cost_usd": 0.033771, "tools_attempted": [ "send_contact_card" ], "tool_called": "send_contact_card", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT and Phil's contact details are correct and consistent with the brief.", "groundedness_reason": "Ada stays within the brief: confirms the contact card was sent (tool succeeded), provides Phil's email address directly as instructed, mentions the junk folder check appropriately, and offers further help on AI evaluation work without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief and the send_contact_card tool returned success.", "groundedness_reason": "The reply follows the brief's rules for sending a contact card, includes Phil's listed email, and mentions checking junk mail as instructed." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and consistent with the brief.", "groundedness_reason": "The answer stays within the brief's supported information and makes no overclaims." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "send_contact_card fired" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "TOOL-021", "category": "Tool Usage", "category_id": "TOOL", "question": "What's the difference between AI evaluation and normal software testing?", "subtype": "none", "expected_tool": null, "ada_response": "Normal software testing checks whether the system does what it was programmed to do — pass an input, expect a defined output, fail if it differs. AI evaluation has to deal with outputs that are probabilistic, open-ended and context-dependent, so \"correct\" is rarely binary.\n\nFor a chatbot or RAG system, the real questions are things like: does the answer accurately reflect the source material, does it stay on topic, and does it fail in ways that matter to users? Phil's work addresses exactly this — designing test sets, running multi-judge evaluation frameworks, and analysing failures rather than just counting passes.\n\nThe published evaluation of Ada (the assistant you're talking to now) is a good concrete example — seven model backends, a four-judge panel, and every tool call verified in code against what the runtime actually did.", "latency_ms": 6065, "input_tokens": 5175, "output_tokens": 177, "cached_input_tokens": 4840, "cost_usd": 0.01818, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT and AI evaluation are consistent with the brief.", "groundedness_reason": "The answer stays within the brief, grounding the explanation in Phil's actual work and the published Ada evaluation, without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about Tromp IT and Phil match the services and the published Ada evaluation described in the brief.", "groundedness_reason": "Assertions about test design, multi-judge evaluation and verified tool calls are directly supported by the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's work and Ada's evaluation are correct per the brief.", "groundedness_reason": "The answer stays within the brief's descriptions of services, methods, and Phil's work." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "no tool expected, none called" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "TOOL-022", "category": "Tool Usage", "category_id": "TOOL", "question": "Do you have an office in Sydney?", "subtype": "none", "expected_tool": null, "ada_response": "Tromp IT is based in Melbourne, but Phil works with clients nationally, so location isn't usually a barrier.", "latency_ms": 1957, "input_tokens": 5171, "output_tokens": 27, "cached_input_tokens": 4840, "cost_usd": 0.015918, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Both factual claims are correct: Tromp IT is based in Melbourne, and Phil works with clients nationally.", "groundedness_reason": "The answer stays within the brief and does not overstate capability or commitment." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Statement matches the brief's location and client geography.", "groundedness_reason": "Answer stays within the brief and does not add unsupported details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct per the brief.", "groundedness_reason": "Answer is fully supported by the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "no tool expected, none called" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "TOOL-023", "category": "Tool Usage", "category_id": "TOOL", "question": "Is Phil Robin the only person working at Tromp IT or is there a wider team?", "subtype": "none", "expected_tool": null, "ada_response": "Phil is the sole person behind Tromp IT — it's his independent consultancy. He brings more than 30 years of experience in technology and analytics, with a current focus on AI evaluation, conversational AI and analytics. Where an engagement calls for it, he works as a specialist within broader consulting and delivery teams rather than building a permanent headcount around him.", "latency_ms": 5087, "input_tokens": 5182, "output_tokens": 78, "cached_input_tokens": 4840, "cost_usd": 0.016716, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT and Phil Robin are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports: Phil's founding role, his 30+ years of experience, his focus areas, and his engagement model are all stated in the brief." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Phil is the sole person behind Tromp IT — it's his independent consultancy.", "accuracy_reason": "All statements about Phil's experience, focus areas and working as a specialist within teams match the brief.", "groundedness_reason": "Saying Phil is the 'sole person behind Tromp IT' is not explicitly stated in the brief and therefore slightly overreaches.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's description of Tromp IT's structure." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "no tool expected, none called" }, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gpt-5-mini" ] }, { "id": "TOOL-024", "category": "Tool Usage", "category_id": "TOOL", "question": "We're not in Australia — does Tromp IT work with clients outside the country?", "subtype": "none", "expected_tool": null, "ada_response": "Tromp IT's own engagements are with Australian organisations, so that's the honest starting point. That said, Phil has delivered offshore before — his banking assistant work was built for clients including Standard Chartered Bank and was delivered in both Australia and Hong Kong. If your situation is a good fit, it's worth raising directly with Phil — he's the right person to say whether he'd take it on.", "latency_ms": 3801, "input_tokens": 5181, "output_tokens": 87, "cached_input_tokens": 4840, "cost_usd": 0.016848, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's geographic scope and Phil's offshore experience are accurate and directly supported by the brief.", "groundedness_reason": "The answer stays precisely within what the brief states: Tromp IT is Australia-focused, Phil has delivered offshore before (banking assistant work in Australia and Hong Kong), and defers the decision to Phil rather than overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims (Australia-focused engagements; Phil has delivered offshore, including banking work delivered in Australia and Hong Kong for Standard Chartered) match the brief.", "groundedness_reason": "The reply stays within the brief and does not add any unsupported details or commitments." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct per the brief.", "groundedness_reason": "Answer stays within the brief's stated position on international work." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "no tool expected, none called" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "TOOL-025", "category": "Tool Usage", "category_id": "TOOL", "question": "Honestly, what kind of companies actually need AI evaluation? We're a mid-size retailer and I'm not sure it's relevant to us.", "subtype": "none", "expected_tool": null, "ada_response": "If you've deployed — or are considering — any AI that customers or staff interact with, evaluation is relevant. A chatbot handling customer queries, a product recommendation engine, an AI assistant for your support team — these all have failure modes that are invisible until they cause a real problem.\n\nThe honest answer is: the need scales with the consequences of getting it wrong. For a retailer, that might be a chatbot that mishandles a return policy question, or an assistant that confidently gives wrong information about stock or pricing.\n\nPhil Robin, who runs Tromp IT, has done exactly this kind of work — measuring not how AI performs in a lab, but what actually happens when real people use it. That's a meaningful distinction, and it's the core of what AI Evaluation & Testing here is about.\n\nWhat AI are you running, or thinking about deploying?", "latency_ms": 6303, "input_tokens": 5194, "output_tokens": 184, "cached_input_tokens": 4840, "cost_usd": 0.018342, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT, Phil, and the service are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, names the service correctly, describes Phil's actual work, and appropriately asks a clarifying question without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "a product recommendation engine", "accuracy_reason": "All factual statements about Tromp IT and Phil align with the brief.", "groundedness_reason": "Mentioning 'a product recommendation engine' implies Tromp IT evaluates recommenders, which the brief explicitly forbids implying." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are correct.", "groundedness_reason": "Answer stays within the brief's description of services and Phil's work." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "no tool expected, none called" }, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gpt-5-mini" ] } ], "redaction_note": { "removed": "judge citations of the brief (the brief is not published)", "trimmed": "verbatim brief quotes inside reasons, to 60 chars", "retained_internally": "full data kept for audit and quality checking" } }