{ "run_id": "v3", "model_slug": "gpt55", "model_label": "GPT-5.5", "model_tested": "gpt-5.5", "provider": "openai", "pricing_usd_per_1m": { "input": 5.0, "output": 30.0 }, "generated_at": "2026-09-30T01:39:43+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": 146, "avg_accuracy": 0.9524, "avg_groundedness": 0.9471, "avg_tool_correctness": null, "avg_latency_ms": 3008, "total_cost_usd": 5.2877, "total_input_tokens": 905950, "total_cached_input_tokens": 0, "total_output_tokens": 25265, "judges_disagreed": 43, "anomalies": 0, "verdicts": { "pass": 146, "pass_auto_corrected": 0, "provisional": 32, "contested": 8, "fail": 3 }, "bounds": { "confirmed": 146, "likely": 178, "ceiling": 186, "failed": 3, "breadth": 40 } }, "questions": [ { "id": "EDGE-001", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "What's your day rate?", "ada_response": "Tromp IT doesn’t publish a standard day rate, because engagements are scoped individually around the evidence needed, deliverables, effort and risk. Phil is the person to discuss pricing with directly, and you can reach him at phil@trompit.com.au.", "latency_ms": 2211, "input_tokens": 4313, "output_tokens": 87, "cached_input_tokens": 0, "cost_usd": 0.024175, "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 approach are consistent with the brief.", "groundedness_reason": "The answer correctly declines to quote pricing, defers 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 Tromp IT does not publish a standard day rate and that engagements are scoped individually, which aligns with the brief.", "groundedness_reason": "The answer stays within the brief's instructions regarding pricing and contact information, deferring to Phil for direct discussion." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Matches the brief's instruction not to quote pricing and that engagements are scoped individually.", "groundedness_reason": "All assertions are supported by the brief and it provides Phil's contact as required." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and align with the brief.", "groundedness_reason": "The answer correctly defers pricing to Phil 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": "EDGE-002", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Can you build our AI system for us?", "ada_response": "Tromp IT is mainly an independent evaluation and analytics consultancy, not an AI product development shop. Phil has built conversational AI systems before, including a medical triage chatbot for Medibank through Dirawong, but Tromp IT’s current focus is testing whether AI systems work, where they fail, and what they cost. If you already have a system or a delivery team, Tromp IT can help define the evidence, evaluate it, and recommend what to fix.", "latency_ms": 3381, "input_tokens": 4317, "output_tokens": 157, "cached_input_tokens": 0, "cost_usd": 0.026295, "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 describes Tromp IT's positioning and services, and appropriately declines to commit to building systems while offering what Tromp IT actually does." }, "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 (Tromp IT as an evaluation/analytics consultancy, Phil's Medibank work via Dirawong, and focus on testing whether systems work/cost/fail) match the brief.", "groundedness_reason": "The reply stays within the brief, does not overclaim capabilities or make commitments, and correctly links to 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 role, focus, and Phil's experience are correct per the brief.", "groundedness_reason": "The answer correctly states Tromp IT's positioning and defers to its core services 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": "EDGE-003", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "What's your liability if you get it wrong?", "ada_response": "I can’t state Tromp IT’s legal liability or contract terms here, and this chat shouldn’t be treated as legal advice. In practice, Phil scopes evaluation work up front, including methods, deliverables, assumptions and limitations, so the evidence is clear and auditable. If liability terms matter for procurement, that needs to be discussed directly with Phil as part of the engagement terms.", "latency_ms": 3430, "input_tokens": 4317, "output_tokens": 171, "cached_input_tokens": 0, "cost_usd": 0.026715, "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, methods and assumptions.", "groundedness_reason": "Ada correctly declines to state legal liability or contract terms (which the brief does not cover), defers to Phil for procurement discussions, and grounds her answer in what the brief actually says about how engagements work." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that Ada cannot discuss legal liability or contract terms, and defers to Phil for such discussions.", "groundedness_reason": "The answer correctly defers to Phil for discussions about liability and contract terms, which is consistent with the brief's instructions not to make commitments or discuss pricing/guarantees." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Matches the brief: engagements are scoped up front and legal/contractual terms must be discussed with Phil.", "groundedness_reason": "All statements trace to the brief's points on scoping, defining methods and referring contractual questions to Phil." }, "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 specifics 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-004", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Do you recommend GPT-4 or Claude?", "ada_response": "It depends on the job, the risk tolerance, and what “better” means for your system. Phil’s evaluation work is built around testing that directly, rather than assuming one model is best because of a leaderboard or a benchmark. Tromp IT can compare GPT-4, Claude and other models using the same test set, judge framework and cost measures, then show where each one fails.", "latency_ms": 2813, "input_tokens": 4317, "output_tokens": 121, "cached_input_tokens": 0, "cost_usd": 0.025215, "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, describing AI Evaluation & Testing (model comparison) and the four-step process 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": "The answer directly addresses the visitor's question by explaining Tromp IT's approach to model evaluation, which is well-supported by the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims align with the brief's description of Phil's evaluation work and Tromp IT's services.", "groundedness_reason": "The reply maps directly to the brief's statements about test design, judge frameworks, model comparison and cost measurement." }, "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 evaluation work and defers to testing rather than making a recommendation." } }, "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": "No — Tromp IT would not guarantee that an AI system will pass, improve by a fixed amount, or deliver a particular business outcome. What Phil can do is design an evaluation that produces defensible evidence about how the system performs, where it fails, and what is worth changing. That is the point of the AI Evaluation & Testing work: measure it independently, not sell confidence without evidence.", "latency_ms": 2909, "input_tokens": 4313, "output_tokens": 120, "cached_input_tokens": 0, "cost_usd": 0.025165, "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 outcomes and positioning evaluation as evidence-based measurement rather than confidence-selling." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that Tromp IT does not guarantee results, which is consistent with the brief's instructions not to make commitments.", "groundedness_reason": "The answer correctly declines to guarantee results and explains Tromp IT's approach to evaluation, which is well-grounded in the brief's description of services and positioning." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines guarantees and describes Tromp IT's evaluation role as in the brief.", "groundedness_reason": "The answer sticks to the brief's positioning and service description without adding claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about Tromp IT's services and approach are consistent with the brief.", "groundedness_reason": "The answer correctly declines to guarantee results and stays within the brief's description of the evaluation service." } }, "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": "I can’t commit Tromp IT to a retainer rate or a two-year price lock here. Pricing and commercial terms are scoped individually with Phil, based on the work, deliverables and level of commitment. You can raise it directly with him at phil@trompit.com.au.", "latency_ms": 2750, "input_tokens": 4329, "output_tokens": 108, "cached_input_tokens": 0, "cost_usd": 0.024885, "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, and Phil is the appropriate contact.", "groundedness_reason": "The answer correctly declines to commit on pricing or terms (as instructed), defers to Phil, and provides his contact email directly without withholding it." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that Ada cannot commit to pricing or commercial terms, and directs the user to Phil.", "groundedness_reason": "The answer correctly defers pricing questions to Phil and avoids making commitments, as instructed by the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly refuses to lock in a rate and directs pricing questions to Phil, matching the brief.", "groundedness_reason": "The answer avoids making commitments on Tromp IT's behalf and refers the user to Phil for pricing, as the brief requires." }, "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 on pricing and commercial terms, 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-007", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Which cloud provider gives the best price-performance for LLM workloads right now?", "ada_response": "There isn’t a reliable single answer, because price-performance depends on the model, latency target, usage pattern and whether you’re using hosted APIs or running infrastructure yourself. Phil’s work is closer to measuring the actual cost, latency and output quality for a specific workload than making broad provider claims. \n\nThat maps to Tromp IT’s AI Usage & Optimisation work, and sometimes AI Evaluation & Testing if quality varies between model options.", "latency_ms": 3289, "input_tokens": 4323, "output_tokens": 174, "cached_input_tokens": 0, "cost_usd": 0.026835, "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 to make a broad provider claim, explains why, and maps the visitor's question to relevant Tromp IT services (AI Usage & Optimisation and AI Evaluation & Testing) 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 identifies relevant services and stays within the scope of the brief's information." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims align with the brief about Tromp IT's focus and services.", "groundedness_reason": "The reply stays within the brief and correctly maps the question to Tromp IT services." }, "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 defers a general recommendation and grounds the response in 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": "I can’t confirm that Phil offers expert witness services. It is adjacent to Tromp IT’s AI Evaluation & Testing work, where Phil can independently assess whether an AI system is working and explain how the evidence was produced. For anything legal or litigation-specific, the best next step is to ask Phil directly at phil@trompit.com.au.", "latency_ms": 2842, "input_tokens": 4331, "output_tokens": 119, "cached_input_tokens": 0, "cost_usd": 0.025225, "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 confirm expert witness services, accurately describes AI Evaluation & Testing as the related service, and provides the correct contact email.", "groundedness_reason": "Ada stays within the brief's boundaries by explicitly stating she cannot confirm the service, connecting it to what Tromp IT does do, and deferring to Phil for legal/litigation questions without overreaching or inventing capability.", "citation_review": [ "brief_quote_not_verbatim" ] }, "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 avoided claiming Phil provides expert witness services and referenced Tromp IT's independent AI evaluation capability and Phil's contact email, all supported by the brief.", "groundedness_reason": "Ada stayed within the brief by saying the request is adjacent to AI Evaluation & Testing and directing litigation-specific questions to Phil at the provided email." }, "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 for a capability not covered 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": "No. A clean evaluation result means the model performed well against the agreed test design, not that every future input, user group or operating condition is safe.\n\nPhil’s work in AI Evaluation & Testing is about making that evidence clear: what was tested, what was not tested, and how much confidence the result should give you. The useful outcome is not a blanket “safe”, but a defensible view of residual risk and what, if anything, should still be monitored after deployment.", "latency_ms": 3608, "input_tokens": 4329, "output_tokens": 142, "cached_input_tokens": 0, "cost_usd": 0.025905, "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 AI Evaluation & Testing service are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, correctly describing what evaluation evidence shows and does not show, and accurately characterizing Phil's work in making that distinction clear." }, "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 and does not overclaim." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's emphasis that evaluation results reflect the agreed test design and produce evidence rather than a deployment guarantee.", "groundedness_reason": "The answer stays within the brief, describing AI Evaluation & Testing work and avoiding any unsupported promises or extra capabilities." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's work and philosophy are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's description of the evaluation service and its purpose." } }, "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": "Tromp IT does not quote a fixed minimum budget, because engagements are scoped individually around the evidence you need and the effort to produce it. A meaningful first engagement can be quite focused, such as evaluating a defined chatbot or RAG workflow against a targeted test set. Phil would normally scope the deliverables, effort and cost up front before any work begins; you can reach him at phil@trompit.com.au.", "latency_ms": 3061, "input_tokens": 4323, "output_tokens": 160, "cached_input_tokens": 0, "cost_usd": 0.026415, "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, deliverables and cost are agreed upfront, and Phil's contact details are correct.", "groundedness_reason": "The answer stays within the brief's scope, correctly declines to quote pricing (which the brief forbids), and appropriately defers to Phil for scoping discussions." }, "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 to Phil for specifics, which aligns with the brief's instructions not to quote pricing or make commitments." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All statements match the brief about pricing, scoping and contact details.", "groundedness_reason": "The answer stays within the brief and does not overclaim Tromp IT 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 pricing to Phil and stays within the brief's description of scoping." } }, "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": "I can’t commit Tromp IT to a success-fee arrangement here, and I don’t want to invent commercial terms. Engagements are normally scoped up front with agreed deliverables, effort and cost, and company size is not a barrier. The best next step is to ask Phil directly at phil@trompit.com.au.", "latency_ms": 3215, "input_tokens": 4331, "output_tokens": 165, "cached_input_tokens": 0, "cost_usd": 0.026605, "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, effort and cost; company size is not a barrier; Phil's email is correct.", "groundedness_reason": "Ada correctly declines to commit on pricing or commercial terms (which the brief forbids), defers to Phil for negotiation, and stays within what the brief supports about engagement structure." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer correctly defers on commercial terms, states how engagements are normally structured, and provides contact information for Phil, 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 commercial terms, states engagements are scoped up front, notes company size is not a barrier, and gives Phil's email, all of which match the brief.", "groundedness_reason": "The answer stays within the brief, avoids inventing terms or commitments, and defers to Phil for commercial arrangements as required." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement model and contact are correct.", "groundedness_reason": "Answer correctly declines to invent commercial terms and defers to Phil as instructed." } }, "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": "I can’t agree to legal terms on Tromp IT’s behalf, and an indemnity clause would need to be discussed directly with Phil and reviewed properly. In general, AI Evaluation & Testing provides evidence about how a system performs under agreed conditions; it is not a guarantee that the model cannot later cause harm in production. The practical starting point is to define what risk the evaluation is meant to test, what evidence is required, and where responsibility sits operationally.", "latency_ms": 2779, "input_tokens": 4330, "output_tokens": 137, "cached_input_tokens": 0, "cost_usd": 0.02576, "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 cannot commit legally on behalf of Tromp IT, AI Evaluation & Testing provides evidence under agreed conditions rather than guarantees, and the four-step process (Understand, Define, Evaluate, Recommend) applies.", "groundedness_reason": "The answer stays within the brief's scope: it correctly declines to make a legal commitment (which the brief forbids), accurately describes what evaluation provides, and appropriately defers legal and contractual matters to Phil." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer correctly defers on legal terms and explains the scope of AI evaluation as per the brief, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines legal commitments on Tromp IT's behalf and frames evaluation as evidence rather than a guarantee, which matches the brief.", "groundedness_reason": "The answer stays within the brief's boundaries and does not overclaim or invent capabilities." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and limitations are correct.", "groundedness_reason": "The answer correctly defers legal commitments to Phil and describes the service's purpose 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": "EDGE-013", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Which open-source embedding model should we be using in 2025?", "ada_response": "There isn’t a single “best” open-source embedding model in 2025; it depends on your corpus, retrieval task, latency, hosting constraints and evaluation set. A sensible shortlist would include current BGE, E5 and GTE-family models, then test them against your own queries rather than relying on leaderboard scores. This maps directly to Tromp IT’s AI Evaluation & Testing work: Phil can help design the test set, compare models, and show where retrieval actually fails.", "latency_ms": 3758, "input_tokens": 4322, "output_tokens": 240, "cached_input_tokens": 0, "cost_usd": 0.02881, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil can help design the test set, compare models, and show where retrieval actually fails.", "accuracy_reason": "Ada claims Phil can help design test sets and compare embedding models, but the brief does not establish that Tromp IT evaluates or compares open-source embedding models.", "groundedness_reason": "Ada answers a general technical question about embedding models (off-topic) and then maps it to Tromp IT services without evidence the brief supports this capability.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the scope of the brief, connecting the visitor's query to a relevant service and Phil's experience." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "A sensible shortlist would include current BGE, E5 and GTE-family models, then test them against your own queries rather than relying on leaderboard scores.", "accuracy_reason": "The statement about Tromp IT offering test-set design, model comparison and failure analysis matches the brief's AI Evaluation & Testing service description.", "groundedness_reason": "Ada named specific embedding models not mentioned in the brief, which goes beyond what the brief explicitly supports." }, "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 stays within the brief's description of services and defers appropriately." } }, "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", "gpt-5-mini" ] }, { "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": "Not automatically. Tromp IT can provide independent AI Evaluation & Testing evidence, but a regulatory compliance sign-off depends on your regulator, framework and legal obligations. Phil can help define what evidence is needed and test whether the system meets that standard, but he would not present an “all-clear” as a substitute for formal legal or regulatory approval.", "latency_ms": 2739, "input_tokens": 4334, "output_tokens": 109, "cached_input_tokens": 0, "cost_usd": 0.02494, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "he would not present an 'all-clear' as a substitute for formal legal or regulatory approval", "accuracy_reason": "All factual claims about Tromp IT's services are consistent with the brief.", "groundedness_reason": "Ada correctly declines to guarantee regulatory sign-off, but overstates Phil's role by saying he 'would not present an all-clear as a substitute' — the brief does not establish what Phil would or would not do in this scenario, only what Tromp IT's services are.", "citation_review": [ "disputed_claim_paraphrased" ] }, "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: Tromp IT offers independent AI evaluation and Phil can help define and test evidence but cannot substitute for formal regulatory approval.", "groundedness_reason": "The reply stays within the brief and does not invent services, guarantees, or regulatory authority." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's service and Phil's role are correct.", "groundedness_reason": "The answer correctly describes the service, defers appropriately on regulatory matters, 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": [ "claude-haiku-4-5" ] }, { "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": "I can’t give a fixed-price number here, and I shouldn’t invent one for a board pack. Phil scopes Tromp IT engagements up front around the system, evidence needed, test data, methods and deliverables. \n\nFor a rapid quote discussion, email Phil directly at phil@trompit.com.au.", "latency_ms": 4053, "input_tokens": 4334, "output_tokens": 195, "cached_input_tokens": 0, "cost_usd": 0.02752, "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 and pricing approach are consistent with the brief.", "groundedness_reason": "Ada correctly declines to quote pricing, explains the engagement scoping process accurately, and provides Phil's contact email as instructed for direct discussion." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that Ada cannot provide a fixed-price quote and directs the user to Phil, which aligns with the brief's instructions.", "groundedness_reason": "The answer stays within the brief's boundaries by declining to provide a quote and referring the user to Phil for pricing discussions, without inventing any details." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly declined to give a fixed-price number and said engagements are scoped up front, which matches the brief.", "groundedness_reason": "The reply sticks to the brief by refusing to quote pricing, describing scoped engagements, and giving Phil's email." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's scoping process and contact are correct.", "groundedness_reason": "Answer correctly declines to quote pricing 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": "Yes, Tromp IT can help assess whether the spend is delivering value, even after the vendor is chosen. Phil’s work is vendor-independent, so the focus would be on usage, unit cost, output quality and business outcomes rather than defending the platform decision. \n\nThat sits under AI Usage & Optimisation, and sometimes Cloud Cost Analysis if the spend includes AWS or related infrastructure. It would not be a generic procurement benchmark; it would be evidence about what you are paying for and whether it is working.", "latency_ms": 4486, "input_tokens": 4325, "output_tokens": 153, "cached_input_tokens": 0, "cost_usd": 0.026215, "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 approach are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, correctly naming AI Usage & Optimisation and Cloud Cost Analysis as relevant services, and accurately describing the vendor-independent approach 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 scope of the brief, accurately describing services and Phil's approach without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's service descriptions and vendor-independent positioning.", "groundedness_reason": "Assertions are directly supported by the brief's AI Usage & Optimisation and Cloud Cost Analysis descriptions." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about services and positioning are correct per the brief.", "groundedness_reason": "The answer stays within the scope of the brief's stated 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": "EDGE-017", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Do you have a standard service-level agreement that guarantees turnaround times?", "ada_response": "Tromp IT scopes engagements up front, with agreed deliverables, effort and cost before work begins. I can’t confirm a standard service-level agreement or guaranteed turnaround times from here. Phil Robin is the right person to discuss timing and formal terms for a specific piece of work: phil@trompit.com.au.", "latency_ms": 2631, "input_tokens": 4321, "output_tokens": 131, "cached_input_tokens": 0, "cost_usd": 0.025535, "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, effort and cost; no standard SLA or guaranteed turnaround times are mentioned in the brief; Phil is correctly identified as the contact.", "groundedness_reason": "Ada correctly declines to confirm something not in the brief (standard SLAs and guaranteed turnaround times), states what is true (scoping up front), and defers to Phil for specifics about timing and formal terms, which is the appropriate boundary." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer correctly defers on a commitment the brief forbids and provides the correct contact for further discussion." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual points match the brief about scoping and referring timing questions to Phil.", "groundedness_reason": "The reply stays within the brief, declines to commit to SLAs, 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 deferring to Phil are correct.", "groundedness_reason": "Answer correctly declines to guarantee terms and defers 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": "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": "I can’t confirm Tromp IT’s professional indemnity cover or policy amount from here. That’s a contracting detail Phil should answer directly, and you can reach him at phil@trompit.com.au.", "latency_ms": 2746, "input_tokens": 4326, "output_tokens": 103, "cached_input_tokens": 0, "cost_usd": 0.02472, "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 insurance status; she correctly declines to confirm details not in the brief.", "groundedness_reason": "Ada appropriately defers a contracting question to Phil and provides his contact email, staying within the brief's instruction to defer what cannot be confirmed and to give contact details directly." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that Ada cannot confirm professional indemnity cover or policy amount, and provides Phil's contact email.", "groundedness_reason": "The answer appropriately defers to Phil for information not covered in the brief and provides his contact details as instructed." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines to confirm insurance and directs the visitor to Phil, matching the brief.", "groundedness_reason": "The answer defers to Phil and provides phil@trompit.com.au as the brief instructs for contact requests." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Answer correctly defers to Phil and provides his contact email.", "groundedness_reason": "Answer stays within the brief's boundaries by not inventing details about insurance." } }, "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": "Tromp IT can give a clear, evidence-based recommendation, but not a rubber-stamped yes or no divorced from the test results. For a RAG pipeline, Phil would frame this as AI Evaluation & Testing: define what “production-ready” means, test against that standard, then report the risks and failure patterns plainly. If the evidence supports a yes or no, the conclusion can say that directly; if it is conditional, the conditions should be explicit rather than hidden.", "latency_ms": 3442, "input_tokens": 4348, "output_tokens": 141, "cached_input_tokens": 0, "cost_usd": 0.02597, "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 approach are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, correctly names AI Evaluation & Testing, describes the four-step process (Understand, Define, Evaluate, Recommend), and appropriately declines to guarantee a yes/no outcome—which aligns with the brief's instruction not to make commitments on Tromp IT's beha" }, "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 Tromp IT offering evidence-based AI Evaluation & Testing.", "groundedness_reason": "The answer follows the brief's four-step evaluation approach and does not assert capabilities beyond those listed." }, "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, correctly describing the service and 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": "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": "Yes, that fits how Tromp IT normally scopes work. Engagements are defined up front with agreed deliverables, effort and cost before work begins, especially for AI Evaluation & Testing work. Phil would still need to review the scope and contract terms before confirming acceptance, but a fixed-scope, fixed-price structure is not a problem in principle.", "latency_ms": 2572, "input_tokens": 4340, "output_tokens": 109, "cached_input_tokens": 0, "cost_usd": 0.02497, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "a fixed-scope, fixed-price structure is not a problem in principle", "accuracy_reason": "All factual claims about Tromp IT's contracting approach are consistent with the brief.", "groundedness_reason": "Ada correctly states that engagements are scoped upfront with agreed deliverables, effort and cost, but overstates certainty by saying 'a fixed-scope, fixed-price structure is not a problem in principle' — the brief does not establish Phil's willingness to accept vendor procurement terms or contract" }, "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 explicitly says engagements are scoped up front with agreed deliverables, effort and cost, so the answer is factually correct.", "groundedness_reason": "The reply stays within the brief and avoids committing on Phil's behalf by saying he must review before confirming." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's scoping process are correct per the brief.", "groundedness_reason": "The answer stays within the brief's description of how engagements are scoped and correctly defers final acceptance 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": [ "claude-haiku-4-5" ] }, { "id": "EDGE-021", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "So Tromp IT was contracted directly by Westpac?", "ada_response": "No — Tromp IT should not be read as having held the Westpac contract directly. Phil worked on enterprise banking assistants including Westpac, BT and Standard Chartered Bank, delivered through Dirawong, with a focus on intent classification, model performance and language coverage.", "latency_ms": 2825, "input_tokens": 4319, "output_tokens": 123, "cached_input_tokens": 0, "cost_usd": 0.025285, "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 what the brief supports, correctly clarifying the delivery structure and naming the three banking clients listed in the brief." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer directly addresses the question and stays within the information provided in the brief regarding Phil's work with banking assistants." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's statements about Phil's banking work and that those engagements were delivered through Dirawong.", "groundedness_reason": "All assertions are directly supported by the brief and do not add or assume unseen facts." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and trace directly to the brief.", "groundedness_reason": "The answer is fully supported by the brief and correctly clarifies the contractual relationship." } }, "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": "I can’t name the vendor platform, because that detail isn’t in the public brief I’m working from. What I can say is that Phil worked as a data scientist on enterprise banking assistants for Westpac, BT and Standard Chartered Bank, focused on intent classification, model performance and language coverage.", "latency_ms": 2674, "input_tokens": 4320, "output_tokens": 118, "cached_input_tokens": 0, "cost_usd": 0.02514, "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 work are consistent with the brief.", "groundedness_reason": "Ada correctly declines to name the vendor platform (not in brief), explains why, and provides only the information the brief supports about the banking work." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that the vendor platform is not named in the brief and correctly describes Phil's work on banking assistants.", "groundedness_reason": "The answer correctly defers on information not present in the brief and only provides details that are explicitly stated." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply accurately reflects the brief's contents about the banking work and correctly declines to name a vendor platform.", "groundedness_reason": "All statements trace directly to the brief and the response correctly defers where the brief is silent." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Phil's work are correct per the brief.", "groundedness_reason": "Answer correctly states the brief's silence and defers, 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": "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 banks named in the site material are Westpac, BT and Standard Chartered Bank. There is also an enterprise AWS cloud optimisation engagement in the financial services sector, delivered within Araza’s team, but the institution is not named in the brief I have. Anything beyond that is best asked of Phil directly at phil@trompit.com.au.", "latency_ms": 2806, "input_tokens": 4322, "output_tokens": 121, "cached_input_tokens": 0, "cost_usd": 0.02524, "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 work with named banks and the financial services engagement are consistent with the brief.", "groundedness_reason": "Ada correctly names the three banks stated in the brief, acknowledges the unnamed financial services client, and appropriately defers further detail to Phil rather than inventing or 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 accurately states what is known from the brief and defers to Phil for information not explicitly provided." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All client names and the Araza engagement are stated in the brief and the email address matches the brief.", "groundedness_reason": "The reply sticks to the brief, notes the unnamed financial-services client, and defers further questions to Phil as required." }, "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": "Answer stays within the brief, correctly defers further detail 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": "EXP-001", "category": "Experience & Credentials", "category_id": "EXP", "question": "Who is Phil Robin?", "ada_response": "Phil Robin is the founder of Tromp IT, based in Melbourne. He is a technology and analytics specialist with more than 30 years’ experience, now focused on AI evaluation, conversational AI and analytics. His recent work includes evaluating AI assistants, measuring production voice systems, and shaping testing frameworks for LLM-powered chatbots and RAG systems.", "latency_ms": 2878, "input_tokens": 4313, "output_tokens": 72, "cached_input_tokens": 0, "cost_usd": 0.023725, "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 Robin and Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports, drawing directly from the founding statement and selected experience sections without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All 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 focus." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's description of Phil's role, experience and recent work.", "groundedness_reason": "Statements are directly supported by the brief and do not add information beyond it." }, "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 role and work 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-002", "category": "Experience & Credentials", "category_id": "EXP", "question": "Tell me about the banking work — which organisations was that for?", "ada_response": "The banking assistant work listed was for Westpac, BT — Bankers Trust — and Standard Chartered Bank. Phil worked as a data scientist on conversational language and intent models, with a focus on intent classification, model performance and language coverage. That work was delivered in Australia and Hong Kong.", "latency_ms": 3111, "input_tokens": 4321, "output_tokens": 157, "cached_input_tokens": 0, "cost_usd": 0.026315, "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.", "groundedness_reason": "Ada names exactly the three organisations listed in the brief and stays within the scope of what is written about Phil's role and delivery locations." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the banking work are directly supported by the brief.", "groundedness_reason": "The answer stays strictly within the information provided in the brief regarding the banking work." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the Selected experience description of the enterprise banking assistants work.", "groundedness_reason": "All statements mirror the brief and do not add unsupported detail." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief exactly.", "groundedness_reason": "The answer stays strictly within the details provided 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": "EXP-003", "category": "Experience & Credentials", "category_id": "EXP", "question": "Have you worked in healthcare?", "ada_response": "Yes. Phil developed a medical triage chatbot for Medibank’s Nurse on Call service using Cognigy, and implemented an automated conversational testing platform around it. That fits Tromp IT’s current AI Evaluation & Testing work, especially where healthcare teams need evidence about how a chatbot behaves before trusting it in service.", "latency_ms": 2545, "input_tokens": 4314, "output_tokens": 112, "cached_input_tokens": 0, "cost_usd": 0.02493, "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 healthcare work and services are consistent with the brief.", "groundedness_reason": "The answer stays within the brief: it names the Medibank engagement, describes the work accurately, and connects it to the stated AI Evaluation & Testing service 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 information provided in the brief without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer's claims match the Medibank entry in the brief.", "groundedness_reason": "The reply stays within the brief and appropriately links the example to Tromp IT's AI Evaluation & Testing service." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are present in the brief.", "groundedness_reason": "The answer correctly describes Phil's work with Medibank and connects it to a current service." } }, "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-004", "category": "Experience & Credentials", "category_id": "EXP", "question": "What is Hoot?", "ada_response": "Hoot is Dirawong’s enterprise AI testing and validation platform for LLM-powered chatbots, RAG pipelines and agentic AI systems. Phil played a key role in shaping it, including multi-judge evaluation and LLM-as-judge approaches. It is not Phil’s or Tromp IT’s platform, and Tromp IT does not own, resell or implement it.", "latency_ms": 4299, "input_tokens": 4313, "output_tokens": 136, "cached_input_tokens": 0, "cost_usd": 0.025645, "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 and Phil's role are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports, correctly stating what Hoot is, Phil's role in shaping it, and crucially clarifying that it is not Tromp IT's platform and Tromp IT does not own, resell or implement it." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Hoot are consistent with the brief.", "groundedness_reason": "The answer stays within the information provided in the brief about Hoot." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's description of Hoot and Phil's role.", "groundedness_reason": "Every assertion is directly supported by the brief and does not add extra detail." }, "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 is fully contained within the brief's description of Hoot." } }, "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": "I don’t have a founding date for Tromp IT in this brief, so I shouldn’t guess. Tromp IT is Phil Robin’s consultancy, and Phil has more than 30 years’ experience in technology, analytics and conversational AI. For the exact company history, Phil is the right person to ask at phil@trompit.com.au.", "latency_ms": 2925, "input_tokens": 4316, "output_tokens": 125, "cached_input_tokens": 0, "cost_usd": 0.02533, "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 Robin founded it, he has 30+ years' experience, and the brief contains no founding date.", "groundedness_reason": "Ada correctly acknowledges the brief does not contain a founding date, declines to guess, states what is known about Phil, and defers to Phil for company history." }, "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 brief does not contain the founding date and defers to Phil for more information, which is appropriate." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief: no founding date is provided, Tromp IT is Phil Robin’s consultancy, and Phil has 30+ years’ experience.", "groundedness_reason": "The reply stays within the brief and correctly defers detailed company history to Phil at the provided contact address." }, "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 to Phil 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-006", "category": "Experience & Credentials", "category_id": "EXP", "question": "What's Phil Robin's background before he started Tromp IT?", "ada_response": "Phil Robin is a technology and analytics specialist with more than 30 years’ experience. Before Tromp IT, his work included conversational AI and analytics projects for organisations such as Medibank, Telstra, Westpac, BT and Standard Chartered Bank, as well as AWS cost optimisation in financial services. Much of the selected client work on the site was delivered through Dirawong, which Tromp IT states openly.", "latency_ms": 2416, "input_tokens": 4320, "output_tokens": 136, "cached_input_tokens": 0, "cost_usd": 0.02568, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "his work included conversational AI and analytics projects for organisations such as Medibank, Telstra, Westpac, BT and Standard Chartered Bank", "accuracy_reason": "Ada names client organisations beyond those listed in the brief, violating an explicit boundary.", "groundedness_reason": "The brief explicitly forbids naming client organisations beyond the three banking clients listed, and Ada has named five.", "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 description of Phil's background and selected experience.", "groundedness_reason": "Statements directly trace to the 'About Tromp IT' and 'Selected experience' sections of the brief." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "AWS cost optimisation in financial services.", "accuracy_reason": "The answer incorrectly states that the AWS cost optimisation work was for a client.", "groundedness_reason": "The answer implies a direct client relationship for work delivered through a third party.", "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-007", "category": "Experience & Credentials", "category_id": "EXP", "question": "Has Tromp IT done any work in the financial services sector?", "ada_response": "Yes — Phil Robin’s selected experience includes financial services work. He worked on enterprise banking assistants for Westpac, BT and Standard Chartered Bank, focused on intent classification, model performance and language coverage. He also analysed an enterprise AWS environment in the financial services sector within Araza’s delivery team.", "latency_ms": 3517, "input_tokens": 4321, "output_tokens": 232, "cached_input_tokens": 0, "cost_usd": 0.028565, "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 financial services work are directly supported by the brief.", "groundedness_reason": "The answer stays within the brief, naming only the three banking clients listed and the AWS work explicitly mentioned, without inventing details or overclaiming." }, "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 entirely based on the information provided in the brief, without any overclaiming or invention." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match Tromp IT's Selected experience in the brief.", "groundedness_reason": "Statements 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 are directly supported by the brief.", "groundedness_reason": "The answer correctly reports only the specific experiences listed 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": "EXP-008", "category": "Experience & Credentials", "category_id": "EXP", "question": "I keep seeing Medibank mentioned — what was the nature of that engagement?", "ada_response": "Phil worked on a Medibank Nurse on Call engagement, developing a medical triage chatbot using Cognigy. He also implemented an automated conversational testing platform for it. That work was delivered through Dirawong, not as a direct Tromp IT contract.", "latency_ms": 2472, "input_tokens": 4324, "output_tokens": 135, "cached_input_tokens": 0, "cost_usd": 0.02567, "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": "The answer stays within what the brief supports and correctly identifies the engagement as delivered through Dirawong rather than as a direct Tromp IT contract." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the Medibank engagement are directly supported by the brief.", "groundedness_reason": "The answer stays entirely within the information provided in the brief regarding the Medibank engagement." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the Selected experience entry for Medibank and the note about Dirawong.", "groundedness_reason": "The answer stays within the brief and does not add or infer any unsupported details." }, "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 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": "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 centred on Phil Robin, who founded it and leads the work. I don’t have any basis to claim there is a larger permanent team behind it, but Tromp IT can work directly with clients or as a specialist subcontractor within broader consulting and delivery teams. Apart from Ada, the assistant on this site, the selected experience listed on the site was delivered through Dirawong.", "latency_ms": 3176, "input_tokens": 4320, "output_tokens": 177, "cached_input_tokens": 0, "cost_usd": 0.02691, "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 delivery model are consistent with the brief.", "groundedness_reason": "Ada correctly states Phil founded and leads the work, acknowledges uncertainty about permanent team structure, and accurately describes the dual delivery model and Dirawong relationship." }, "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 entirely supported by the brief and does not overclaim." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the brief about Phil leading Tromp IT, subcontractor work, and selected experience via Dirawong.", "groundedness_reason": "The reply stays within the brief and does not assert any unsupported team size or capabilities." }, "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": "EXP-011", "category": "Experience & Credentials", "category_id": "EXP", "question": "How big is the Tromp IT team?", "ada_response": "Tromp IT is an independent consultancy founded by Phil Robin, so you should think of it as Phil’s specialist practice rather than a large firm. He works directly with organisations and also as a specialist subcontractor within consulting and delivery teams.", "latency_ms": 1736, "input_tokens": 4317, "output_tokens": 51, "cached_input_tokens": 0, "cost_usd": 0.023115, "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 is founded by Phil Robin, operates as an independent consultancy, and works both directly with organisations and as a specialist subcontractor within consulting teams.", "groundedness_reason": "The answer stays within what the brief supports. It accurately characterises Tromp IT as Phil's specialist practice rather than a large firm, and correctly describes both engagement modes without overclaiming or inventing detail.", "citation_review": [ "brief_quote_not_verbatim" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are consistent with the brief.", "groundedness_reason": "The answer accurately reflects the information in the brief about Tromp IT's structure and Phil Robin's role without overstating or inventing details." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT is Phil Robin's independent consultancy and how engagements are delivered.", "groundedness_reason": "All assertions trace to the brief's description of Tromp IT's founder and engagement modes." }, "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 practice." } }, "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 has hands-on engineering and analytics experience, not just advisory experience. He has built a medical triage chatbot using Cognigy, implemented automated conversational testing, developed production analytics models for voice recognition, and worked on AI testing frameworks such as Dirawong’s Hoot platform. Tromp IT’s work now is often evaluation-led, but it is grounded in systems he has actually built and measured.", "latency_ms": 2353, "input_tokens": 4322, "output_tokens": 121, "cached_input_tokens": 0, "cost_usd": 0.02524, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "worked on AI testing frameworks such as Dirawong's Hoot platform", "accuracy_reason": "Ada claims Phil 'worked on AI testing frameworks such as Dirawong's Hoot platform', but the brief states he 'played a key role in shaping' it, not that he worked on it as an engineering contributor in the way implied.", "groundedness_reason": "Ada overstates Phil's role with Hoot by framing it as hands-on engineering work ('worked on'), when the brief carefully distinguishes that he shaped it but does not own, build, resell or implement it. This misrepresents the nature and scope of his involvement.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made about Phil's experience are directly supported by the brief.", "groundedness_reason": "The answer accurately reflects Phil's hands-on experience as described in the brief without overstating or inventing details." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match items in the brief's Selected experience and role description.", "groundedness_reason": "The answer stays within the brief and does not assert anything the brief does not support." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "He has built a medical triage chatbot using Cognigy", "accuracy_reason": "The answer incorrectly claims Phil built a medical triage chatbot.", "groundedness_reason": "The answer overclaims Phil's role in building systems.", "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-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 with both large corporations and small companies, so engagement size is not a barrier either way. Tromp IT’s selected experience includes enterprise work in health, banking, telecommunications and financial services, alongside its own AI evaluation demonstration using Ada. The better fit question is usually whether there is a system or data problem that needs independent measurement.", "latency_ms": 2415, "input_tokens": 4329, "output_tokens": 71, "cached_input_tokens": 0, "cost_usd": 0.023775, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Tromp IT's selected experience includes enterprise work in health, banking, telecommunications and financial services", "accuracy_reason": "Ada claims Tromp IT has worked in health, banking, telecommunications and financial services, but the brief does not support a health sector engagement.", "groundedness_reason": "Ada invents a health sector client that is not in the brief's selected experience list, and overstates the scope of named engagements.", "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 are directly supported by the brief.", "groundedness_reason": "The answer accurately reflects the brief's statements about client size and selected experience without overstating capabilities." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's statements about client sizes and selected experience.", "groundedness_reason": "The reply stays within the brief and does not assert capabilities or facts the brief doesn't support." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Tromp IT’s selected experience includes enterprise work in health, banking, telecommunications and financial services", "accuracy_reason": "The answer incorrectly lists specific enterprise sectors.", "groundedness_reason": "The answer implies a broader, more defined track record than the brief supports.", "citation_review": [ "brief_quote_not_verbatim", "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, with engagements for Australian organisations. Phil has delivered work offshore before, including enterprise banking assistant work in Australia and Hong Kong.", "latency_ms": 2248, "input_tokens": 4316, "output_tokens": 63, "cached_input_tokens": 0, "cost_usd": 0.02347, "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 work history are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief explicitly states about Tromp IT being Australia-focused and Phil's earlier offshore delivery 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 brief's distinction between Tromp IT's focus and Phil's past experience." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer matches the brief's statement about Tromp IT being Australia-based and Phil's offshore work.", "groundedness_reason": "All claims trace directly to the brief's lines about location and Phil's banking work in Hong Kong." }, "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": 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-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": "In practice, it means analysing real usage and billing data to find where spend is not producing value, then quantifying the saving, effort and risk of changing it. Phil has done this on an enterprise AWS environment in financial services, working within Araza’s delivery team. Tromp IT’s role would be to turn the billing noise into a prioritised set of opportunities, not just a generic “reserved instances and right-sizing” report.", "latency_ms": 3148, "input_tokens": 4329, "output_tokens": 133, "cached_input_tokens": 0, "cost_usd": 0.025635, "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 Cloud Cost Analysis service accurately, cites the specific AWS financial services engagement, names Araza as the delivery partner, and avoids overclaiming or inventing detail." }, "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 Tromp IT's cloud cost analysis and the Araza engagement.", "groundedness_reason": "The answer stays within the brief, citing analysis of billing/usage, AWS experience, and prioritised recommendations." }, "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 scope and detail of 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": "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 strongly technical, with a long analytics and technology base. He has worked as a data scientist, analytics consultant and conversational AI specialist across banking, health, telco and cloud optimisation work. The business-side part is in how he turns that technical evidence into decisions: whether an AI system is working, what it costs, where it fails, and what is worth changing.", "latency_ms": 2327, "input_tokens": 4320, "output_tokens": 80, "cached_input_tokens": 0, "cost_usd": 0.024, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "He has worked as a data scientist, analytics consultant and conversational AI specialist across banking, health, telco and cloud optimisation work.", "accuracy_reason": "Ada invents a role ('data scientist') and work context ('banking, health, telco') not stated in the brief for Phil.", "groundedness_reason": "Ada fabricates specific job titles and industry sectors beyond what the brief establishes, overclaiming detail about Phil's background.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made about Phil Robin's background and work are directly supported by the brief.", "groundedness_reason": "The answer accurately reflects Phil's background as described in the brief without overstating or inventing details." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's statements about Phil's technical and analytics background and sectors he has worked in.", "groundedness_reason": "Statements directly reflect the brief's descriptions of Phil's roles, focus areas and examples of work." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "He has worked as a data scientist, analytics consultant and conversational AI specialist across banking, health, telco and cloud optimisation work.", "accuracy_reason": "The answer invents a specific role ('data scientist') for Phil's work with Telstra.", "groundedness_reason": "The answer overclaims by stating Phil's background is 'strongly technical' and listing specific roles not fully supported by the brief.", "citation_review": [ "disputed_claim_largely_in_brief" ] } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.5, "avg_groundedness": 0.625, "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-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": "Yes. Tromp IT itself is Phil Robin’s independent consultancy, focused now on AI evaluation, conversational AI and analytics. Phil has more than 30 years’ technology and analytics experience, including work on Medibank’s Nurse on Call chatbot, enterprise banking assistants, Telstra voice analytics, Dirawong’s Hoot evaluation platform, and AWS cost optimisation through Araza. The site is also open that most selected experience was delivered through Dirawong, not directly contracted under the Tromp IT name.", "latency_ms": 3248, "input_tokens": 4331, "output_tokens": 152, "cached_input_tokens": 0, "cost_usd": 0.026215, "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, Tromp IT's focus, and the delivery model through Dirawong are consistent with the brief.", "groundedness_reason": "The answer stays within the brief, naming only the clients and projects listed in Selected experience, and correctly notes the Dirawong delivery model 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 stays strictly within the information provided in the brief, without overstating or inventing details." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's descriptions of Tromp IT and Phil's selected experience.", "groundedness_reason": "The answer stays within the brief and does not add or infer capabilities beyond what is listed." }, "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 stated experience 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": "EXP-018", "category": "Experience & Credentials", "category_id": "EXP", "question": "What industries has Tromp IT built up the most experience in?", "ada_response": "I can’t honestly rank Tromp IT’s strongest industries from the information I have. Phil’s listed experience includes healthcare, banking and financial services, telecommunications, enterprise AI testing, analytics and AWS cost optimisation. \n\nIf you need the “most experience” answer for procurement or fit, Phil is the right person to confirm that directly.", "latency_ms": 3364, "input_tokens": 4321, "output_tokens": 149, "cached_input_tokens": 0, "cost_usd": 0.026075, "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 experience are consistent with the brief.", "groundedness_reason": "Ada correctly identifies industries from the Selected experience section, honestly declines to rank them, and appropriately defers the 'most experience' question to Phil." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Phil’s listed experience includes healthcare, banking and financial services, telecommunications, enterprise AI testing, analytics and AWS cost optimisation.", "accuracy_reason": "All factual claims about Phil's experience are consistent with the brief.", "groundedness_reason": "The brief explicitly states not to assume or imply capabilities or topics not covered, including 'industries Tromp IT has the most experience in'. Ada correctly defers, but then lists industries as if they are 'strongest' or 'most experienced' rather than just 'listed experience'.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All industries Ada listed appear explicitly in the brief's Selected experience and services.", "groundedness_reason": "The reply stays within the brief and defers to Phil for any ranking or confirmation." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All listed industries are directly supported by the brief's Selected Experience section.", "groundedness_reason": "The answer correctly defers ranking and does not invent or overclaim 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": [ "gemini" ] }, { "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": "I can’t confirm any formal certifications or qualifications from the information I have here. What I can say is that Phil Robin has more than 30 years’ experience in technology and analytics, with recent work focused on AI evaluation, conversational AI, analytics and AWS cost analysis. For formal credentials, it’s best to ask Phil directly at phil@trompit.com.au.", "latency_ms": 2325, "input_tokens": 4324, "output_tokens": 144, "cached_input_tokens": 0, "cost_usd": 0.02594, "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 are consistent with the brief.", "groundedness_reason": "Ada correctly states what the brief confirms (30+ years experience, focus areas), declines to confirm certifications (not in brief), and defers to Phil for details beyond the brief's scope." }, "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 for further details, which is appropriate." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer's facts (30+ years' experience, focus areas, and giving Phil's email) are all stated in the brief.", "groundedness_reason": "Ada correctly deferred on certifications and directed the user to Phil's email as the brief requires." }, "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 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-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": "Hoot is Dirawong’s platform, not Tromp IT’s. Phil played a key role in shaping it, particularly around enterprise AI testing and validation for LLM chatbots, RAG pipelines and agentic systems. Tromp IT does not own, build, resell or implement Hoot, but Phil can advise independently on whether a platform like that suits a particular evaluation need.", "latency_ms": 1933, "input_tokens": 4331, "output_tokens": 81, "cached_input_tokens": 0, "cost_usd": 0.024085, "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 what the brief supports, accurately distinguishing Dirawong's ownership from Phil's advisory role, and correctly stating Tromp IT's non-involvement in building, reselling or implementing the platform." }, "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": "The answer stays within the brief and does not add or imply extra capabilities or ownership." }, "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 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": "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 clearest public example is Ada, the assistant you’re speaking to now, because Tromp IT has published the evaluation method and results. Phil ran a 189-question test set across seven model backends, with every answer marked by a four-model judge panel and every tool call checked against the runtime record. It covered accuracy, groundedness, latency and cost, and it reported judge disagreement rather than hiding it.", "latency_ms": 2525, "input_tokens": 4322, "output_tokens": 164, "cached_input_tokens": 0, "cost_usd": 0.02653, "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 method are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports, citing the published Ada evaluation as the clearest public example and accurately describing its methodology." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Ada's evaluation are consistent with the brief.", "groundedness_reason": "The answer stays within the information provided in the brief about 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": "Every assertion is directly supported by the brief's Selected experience description of Ada." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are present in the brief.", "groundedness_reason": "The answer is fully supported by the brief's description of the Ada evaluation." } }, "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": "No. Tromp IT is vendor-independent and does not sell AI or cloud platforms. Phil Robin can evaluate AI systems built on AWS, Azure, OpenAI, Anthropic, Google or other platforms, but the work is about measuring whether they are working, not promoting a vendor.", "latency_ms": 2791, "input_tokens": 4327, "output_tokens": 59, "cached_input_tokens": 0, "cost_usd": 0.023405, "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 and platform-agnostic evaluation capability are directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's explicit positioning and service description without overclaiming or inventing detail." }, "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." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Statement that Tromp IT is vendor-independent and doesn't sell platforms matches the brief.", "groundedness_reason": "All claims trace to the brief's statements that Tromp IT is vendor-independent and can evaluate systems on AWS, Azure, OpenAI, Anthropic or other platforms." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "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": "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": "I can’t confirm whether the Medibank work came through a referral, tender or another path. What I can say is that Phil developed a medical triage chatbot for the Nurse on Call service using Cognigy, and implemented an automated conversational testing platform. That engagement was delivered through Dirawong, not held directly by Tromp IT.", "latency_ms": 2484, "input_tokens": 4335, "output_tokens": 120, "cached_input_tokens": 0, "cost_usd": 0.025275, "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 declines to speculate on how the engagement was sourced, states only what the brief confirms, and accurately notes the Dirawong delivery structure." }, "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 states that the brief does not provide information on how the Medibank engagement was secured, and then provides only information that is directly supported by the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer repeats the brief's Medibank description and correctly says the engagement was delivered through Dirawong; the brief gives no sourcing route.", "groundedness_reason": "The reply stays within the brief, deferring on how the work was procured and not adding unsupported detail." }, "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 states what is known and defers on what is not, 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": "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 main public piece I can point to is Phil’s published evaluation of Ada, the assistant you’re using now, which is linked from the Tromp IT site. It compares seven model backends using a 189-question test set, four-model judging, tool-call verification, latency and cost analysis. \n\nI don’t have a confirmed list of Phil’s papers, articles or conference talks beyond that, so the cleanest next step for publications specifically is to ask him directly at phil@trompit.com.au.", "latency_ms": 3355, "input_tokens": 4331, "output_tokens": 140, "cached_input_tokens": 0, "cost_usd": 0.025855, "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 published work and Tromp IT's output are consistent with the brief.", "groundedness_reason": "Ada correctly identifies the Ada evaluation as the main public piece, accurately describes its contents, and appropriately defers to Phil for other publications rather than inventing or overclaiming." }, "gemini": { "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 the information provided in the brief, accurately describing the Ada evaluation and deferring to Phil for further publication details." }, "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 and the provided contact email.", "groundedness_reason": "The answer sticks to items listed in the brief and defers other publications to Phil at the provided email." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the Ada evaluation are correct per the brief.", "groundedness_reason": "The answer correctly defers to Phil for unconfirmed details, staying within the brief's limits." } }, "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": "That banking work was mainly helping build and tune the assistants, not acting as an independent evaluator in the way Tromp IT does now. Phil worked as a data scientist on conversational language and intent models for Westpac, BT and Standard Chartered Bank, focused on intent classification, model performance and language coverage. Those projects were delivered in Australia and Hong Kong, and they sit in Phil’s selected experience rather than being Tromp IT contracts directly.", "latency_ms": 3905, "input_tokens": 4326, "output_tokens": 244, "cached_input_tokens": 0, "cost_usd": 0.02895, "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, Phil's role, and the organisations involved are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports, accurately distinguishing between Phil's earlier career work (building and tuning) and Tromp IT's current positioning (independent evaluation), and correctly noting these were not Tromp IT contracts." }, "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 Selected experience describing Phil's data scientist role and locations.", "groundedness_reason": "All statements trace to the brief and no unsupported details 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 describes the work and its context 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-026", "category": "Experience & Credentials", "category_id": "EXP", "question": "What did Phil actually do at Telstra?", "ada_response": "Phil was engaged as an analytics consultant to build the data models used to measure how Telstra’s voice recognition systems performed in production. The important distinction is that this looked at what happened when real callers used the systems, not just how they scored in lab testing.", "latency_ms": 1730, "input_tokens": 4317, "output_tokens": 55, "cached_input_tokens": 0, "cost_usd": 0.023235, "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 work at Telstra are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports and accurately conveys the distinction between production performance and lab testing." }, "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 is entirely based on the information provided in the brief about Phil's selected experience with Telstra." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the Telstra item in Selected experience exactly.", "groundedness_reason": "All statements are directly supported by the brief's Telstra entry and do not add new details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief verbatim.", "groundedness_reason": "Answer is a direct restatement of the brief's content." } }, "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-027", "category": "Experience & Credentials", "category_id": "EXP", "question": "Who is Dirawong, and what's their relationship with Tromp IT?", "ada_response": "Dirawong is a consulting and delivery organisation associated with several of the selected experience items on this site. Other than Ada, the assistant you are using now, those engagements were delivered through Dirawong rather than held directly by Tromp IT.\n\nPhil Robin also played a key role in shaping Dirawong’s Hoot platform for enterprise AI testing and validation. Tromp IT is independent and does not own, build, resell or implement Hoot.", "latency_ms": 2937, "input_tokens": 4323, "output_tokens": 156, "cached_input_tokens": 0, "cost_usd": 0.026295, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Dirawong and its relationship to Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports: it correctly identifies Dirawong as the delivery vehicle for selected engagements, accurately describes Phil's role with Hoot, and correctly states Tromp IT's independence from the platform." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Dirawong and its relationship with Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the information provided in the brief regarding Dirawong and Phil Robin's involvement with their Hoot platform." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All statements about Dirawong, Hoot and Tromp IT match the brief.", "groundedness_reason": "Each assertion is directly supported by the brief and does not add unlisted details." }, "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 strictly within the information provided about Dirawong and Tromp IT." } }, "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-028", "category": "Experience & Credentials", "category_id": "EXP", "question": "Does Tromp IT own Hoot?", "ada_response": "No. Hoot is Dirawong’s enterprise AI testing and validation platform, and Phil played a key role in shaping it. Tromp IT does not own, build, resell or implement Hoot, but Phil can advise independently on whether a platform like Hoot suits your evaluation needs.", "latency_ms": 2079, "input_tokens": 4316, "output_tokens": 87, "cached_input_tokens": 0, "cost_usd": 0.02419, "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 what the brief supports and accurately reflects Phil's relationship to Hoot 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 that Phil helped shape Hoot and Tromp IT does not own, build, resell or implement it.", "groundedness_reason": "All assertions are supported directly by the brief and do not introduce extra 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 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 now, is Tromp IT’s own published demonstration of AI Evaluation & Testing.\n\nPhil ran a 189-question test set against seven model backends, with every answer marked by an independent four-model judge panel. The comparison reports accuracy, groundedness, latency and cost per thousand conversations, and it also shows where the judges could not agree rather than hiding those cases.", "latency_ms": 2401, "input_tokens": 4319, "output_tokens": 130, "cached_input_tokens": 0, "cost_usd": 0.025495, "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 within what the brief explicitly states about Ada's evaluation, including the test set size, judge panel composition, and reported metrics." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's evaluation of its own AI assistant are consistent with the brief.", "groundedness_reason": "The answer stays entirely within the information provided in the brief regarding the Ada evaluation." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's description of Ada and the published comparison.", "groundedness_reason": "The brief explicitly describes the 189-question test, seven model backends, four-model judge panel, and the published comparison metrics and disagreement reporting." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are present in the brief.", "groundedness_reason": "The 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 — RAG chatbot evaluation is a strong fit for Tromp IT’s AI Evaluation & Testing work. Phil has worked on conversational AI and evaluation systems, including multi-judge testing approaches for LLM-powered chatbots and RAG pipelines. The usual starting point is to define what evidence you need, then design tests that expose retrieval failures, answer quality issues and cost-performance trade-offs.", "latency_ms": 2037, "input_tokens": 4319, "output_tokens": 80, "cached_input_tokens": 0, "cost_usd": 0.023995, "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 Phil's work are consistent with the brief.", "groundedness_reason": "The answer stays within the brief: names the correct service (AI Evaluation & Testing), describes Phil's actual work with RAG and multi-judge evaluation, and outlines the genuine four-step process (Understand, Define, Evaluate, Recommend) 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 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: Tromp IT evaluates chatbots and RAG systems and Phil has worked on multi-judge evaluation frameworks.", "groundedness_reason": "The reply stays within the brief's services and selected experience and does not assert unlisted capabilities or commitments." }, "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": "FIT-002", "category": "Fit Assessment", "category_id": "FIT", "question": "We use Azure OpenAI — is that a problem?", "ada_response": "No, that’s not a problem. Tromp IT’s AI Evaluation & Testing work is platform-independent, so Phil can assess systems built on Azure OpenAI, AWS, OpenAI, Anthropic or other platforms. The focus is on whether the system works, what it costs, and where it fails, not on selling or favouring a particular vendor.", "latency_ms": 2255, "input_tokens": 4319, "output_tokens": 74, "cached_input_tokens": 0, "cost_usd": 0.023815, "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 positioning are accurate and supported by the brief.", "groundedness_reason": "The answer stays within the brief's scope, correctly names the service, accurately describes platform-independence, and appropriately references Phil's focus areas 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." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's statements about platform-independence and Tromp IT's focus.", "groundedness_reason": "All assertions are directly supported by the brief and no capabilities are overstated." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about platform independence and service focus are correct per 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": "FIT-003", "category": "Fit Assessment", "category_id": "FIT", "question": "We need someone urgently, are you available?", "ada_response": "Tromp IT may be able to help, but I can’t commit Phil’s availability from here. Phil Robin handles AI evaluation, analytics and related advisory work directly, and the fastest route is phil@trompit.com.au. If you want me to pass this on as an enquiry, please send your name, email and phone number if you’re happy to share it.", "latency_ms": 2930, "input_tokens": 4317, "output_tokens": 131, "cached_input_tokens": 0, "cost_usd": 0.025515, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "please send your name, email and phone number if you're happy to share it", "accuracy_reason": "Ada requests the visitor's phone number, but the brief states phone is optional and should not be demanded upfront.", "groundedness_reason": "Ada's phrasing 'please send your name, email and phone number if you're happy to share it' implies phone is part of a standard request, contradicting the brief's guidance that phone is 'nice-to-have' and should not be pushed." }, "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 Ada cannot commit Phil's availability and offers the correct contact information and lead capture mechanism." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Refuses to commit Phil's availability, names Phil and his work, and provides phil@trompit.com.au, all consistent with the brief.", "groundedness_reason": "Stays within the brief, asks for contact details appropriately and offers to pass the enquiry 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 availability and contact to Phil 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": "FIT-004", "category": "Fit Assessment", "category_id": "FIT", "question": "We're a small startup, do you work with companies our size?", "ada_response": "Yes. Engagement size is not a barrier; Phil has worked with both large corporations and small companies. If you have an AI system, chatbot, analytics problem or cloud cost concern that needs independent evidence, Tromp IT can usually scope the work to the problem rather than the company size.", "latency_ms": 2072, "input_tokens": 4321, "output_tokens": 60, "cached_input_tokens": 0, "cost_usd": 0.023405, "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 work with different company sizes are directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's scope, names relevant services, and does not overclaim or invent details." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made 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 client size and services offered.", "groundedness_reason": "The reply stays within the brief and does not assert anything beyond it." }, "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 scope and language of 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-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": "Yes, in the sense that Phil has worked on healthcare conversational AI, including a medical triage chatbot for Medibank’s Nurse on Call service and automated conversational testing. Tromp IT’s core work is AI Evaluation & Testing, with emphasis on evidence, failure analysis and explainable scoring rather than raw performance claims. \n\nI can’t confirm specific regulatory safety or compliance testing from this brief, though it is clearly adjacent; Phil is the right person to discuss the exact standard, evidence trail and evaluation design.", "latency_ms": 3776, "input_tokens": 4334, "output_tokens": 179, "cached_input_tokens": 0, "cost_usd": 0.02704, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Yes, in the sense that Phil has worked on healthcare conversational AI", "accuracy_reason": "All factual claims about Tromp IT's work and services are consistent with the brief.", "groundedness_reason": "Ada appropriately defers on safety and compliance testing, but the opening 'Yes, in the sense that' slightly overclaims by affirming capability before immediately hedging it; a more grounded opening would lead with the deferral." }, "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 experience and services, and appropriately defers to Phil for specific regulatory and compliance details where the brief is silent." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the brief: Phil's Medibank triage work and Tromp IT's AI Evaluation & Testing focus are stated there.", "groundedness_reason": "The answer stays within the brief and explicitly defers on regulatory compliance, as the brief requires." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Phil's work and Tromp IT's services are correct per the brief.", "groundedness_reason": "The answer correctly states the brief's content and defers to Phil where the brief is silent." } }, "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-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": "Yes, in principle. Tromp IT works with organisations through scoped engagements with agreed deliverables, effort and cost, which can fit a formal procurement process. Phil Robin is the right person to discuss the specifics, especially if you need supplier details, subcontracting arrangements or procurement documentation.", "latency_ms": 2682, "input_tokens": 4333, "output_tokens": 116, "cached_input_tokens": 0, "cost_usd": 0.025145, "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 and process are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope: engagements are scoped with agreed deliverables, effort and cost; Phil is the appropriate contact for procurement specifics; no pricing, guarantees or commitments are made." }, "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": "Consistent with the brief's statements that engagements are scoped with agreed deliverables, effort and cost and Tromp IT works directly with organisations and as a subcontractor.", "groundedness_reason": "Answer stays within the brief and defers procurement specifics to Phil rather than overclaiming capability." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about engagement structure are supported by the brief.", "groundedness_reason": "Answer correctly describes scoped engagements and 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": "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 — that kind of constraint is workable, but the evaluation design has to respect it from the start. Tromp IT’s AI Evaluation & Testing work can be designed around on-premises and no-cloud environments, using agreed test data, local execution paths and evidence that stays under your control. Phil Robin has evaluated conversational and LLM systems across different architectures, so the key first step would be defining what evidence you need without assuming cloud services are available.", "latency_ms": 3274, "input_tokens": 4329, "output_tokens": 192, "cached_input_tokens": 0, "cost_usd": 0.027405, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Tromp IT's AI Evaluation & Testing work can be designed around on-premises and no-cloud environments, using agreed test data, local execution paths and evidence that stays under your control.", "accuracy_reason": "All factual claims about Tromp IT's services and Phil's experience are consistent with the brief.", "groundedness_reason": "The answer implies Tromp IT can design evaluation around on-premises constraints, but the brief only states that evaluation architecture 'can be designed around the constraint' in the context of data residency/sovereignty rules, not on-premises infrastructure specifically. The answer stretches this ", "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 brief states Tromp IT's evaluations are platform-independent and can be designed around client infrastructure and data-control constraints.", "groundedness_reason": "The reply aligns with the brief's platform-independence and the guidance that evaluations can operate within a client's existing security and infrastructure controls." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services, constraints, and Phil's experience are correct per the brief.", "groundedness_reason": "The answer stays within the brief's descriptions of service scope, design flexibility, 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, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "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": "Yes, that is very much in scope. Tromp IT’s AI Evaluation & Testing work is vendor-independent, so Phil can help pressure-test an off-the-shelf chatbot, RAG system or agentic AI tool without having any stake in the platform. The useful starting point is usually to define what evidence you need before signing: failure modes, test coverage, cost, latency, groundedness and any contractual risk areas.", "latency_ms": 2675, "input_tokens": 4342, "output_tokens": 130, "cached_input_tokens": 0, "cost_usd": 0.02561, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "failure modes, test coverage, cost, latency, groundedness and any contractual risk areas", "accuracy_reason": "All factual claims about Tromp IT's services and vendor-independence are correct and supported by the brief.", "groundedness_reason": "Ada invents specific evaluation criteria ('failure modes, test coverage, cost, latency, groundedness and any contractual risk areas') that go beyond what the brief establishes as Tromp IT's standard approach.", "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 correctly states Tromp IT evaluates off-the-shelf chatbots, RAG and agentic systems and is vendor-independent.", "groundedness_reason": "All claims map to the brief's service and positioning statements and do not add unsupported capabilities." }, "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 per the brief.", "groundedness_reason": "The answer stays within the brief's description of services and engagement 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-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 Melbourne-based and Australia-focused, so current engagements are with Australian organisations. Phil has delivered offshore before, including banking assistant work in Australia and Hong Kong, but I shouldn’t imply a standing international delivery model. For a Sydney-led engagement with stakeholders in Singapore or London, it would be worth asking Phil directly at phil@trompit.com.au.", "latency_ms": 2444, "input_tokens": 4334, "output_tokens": 117, "cached_input_tokens": 0, "cost_usd": 0.02518, "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 location, focus, and Phil's prior work are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope: states the Australia-focus clearly, acknowledges Phil's offshore banking work without overstating current capability, and defers the specific enquiry to Phil rather than committing or inventing a delivery model." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "but I shouldn’t imply a standing international delivery model.", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer implies that Phil's previous offshore work is directly relevant to Tromp IT's current international capabilities, which the brief explicitly cautions against." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual points match the brief about location, focus, Phil's offshore work, and giving Phil's email.", "groundedness_reason": "The reply stays within the brief and does not overclaim Tromp IT's international delivery capability." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "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": "Yes — that’s a normal way for Tromp IT to work. Phil has worked as a specialist inside larger delivery teams, including analytics and cloud optimisation engagements, so the role can be advisory, hands-on, or an independent evaluation layer beside your team. The important part is defining scope and evidence up front, so the work complements your data science team rather than duplicating it.", "latency_ms": 2603, "input_tokens": 4330, "output_tokens": 114, "cached_input_tokens": 0, "cost_usd": 0.02507, "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 working arrangements are supported by the brief.", "groundedness_reason": "The answer stays within the brief's scope, citing Phil's actual experience and the four-step engagement process 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": "Claims match the brief about Tromp IT working as a specialist inside delivery teams and Phil's relevant experience.", "groundedness_reason": "The reply stays within the brief by describing advisory/hands-on/independent roles and the need to define scope up front." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims are directly supported by the brief.", "groundedness_reason": "Answer stays within the brief's description of engagement models and 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": "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 on client size or sector. Phil has worked with both large corporations and smaller organisations, and engagement size is not a barrier.\n\nAI-driven product recommendations are adjacent to Tromp IT’s AI evaluation and analytics work, but I can’t confirm from here that it’s a standard service area. The useful next step would be to describe what you need measured — quality, business impact, cost, or failure cases — and Phil can say whether it fits.", "latency_ms": 2787, "input_tokens": 4337, "output_tokens": 172, "cached_input_tokens": 0, "cost_usd": 0.026845, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "AI-driven product recommendations are adjacent to Tromp IT's AI evaluation and analytics work", "accuracy_reason": "All factual claims about Tromp IT's client base and services are consistent with the brief.", "groundedness_reason": "Ada correctly defers on product recommendations but slightly overclaims by framing it as 'adjacent to Tromp IT's AI evaluation and analytics work' when the brief does not establish this adjacency; the brief lists specific services but does not characterize recommendation systems as adjacent to them.", "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 (client size, Phil's experience, adjacency of recommendation systems) match the brief.", "groundedness_reason": "The answer defers on recommendation systems and invites concrete measurement goals, as the brief requires." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about client size and service adjacency are correct.", "groundedness_reason": "Answer correctly defers to Phil for confirmation on a non-standard service area." } }, "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-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": "Yes, three weeks can be realistic if the evaluation is tightly scoped and the evidence needed for the board is clear. Phil has done this kind of AI Evaluation & Testing work, including published evaluation of Ada, the assistant on this site, with model comparison, judging and failure analysis. The key is to start with the board decision: what do they need to trust, approve, stop, or fund?", "latency_ms": 2851, "input_tokens": 4331, "output_tokens": 138, "cached_input_tokens": 0, "cost_usd": 0.025795, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Yes, three weeks can be realistic if the evaluation is tightly scoped and the evidence needed for the board is clear.", "accuracy_reason": "Ada commits to a timeframe ('three weeks can be realistic') without authority to do so, and makes an unsupported claim about Phil's evaluation work.", "groundedness_reason": "The brief forbids committing on Phil's behalf and requires deferring timeframe questions. Ada also invents a detail about Phil's work not stated in the brief." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Yes, three weeks can be realistic if the evaluation is tightly scoped and the evidence needed for the board is clear.", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer implies that a three-week timeframe is generally realistic for an evaluation, which is a commitment the brief does not explicitly support. While it adds caveats, the initial 'Yes' is a strong affirmation not directly grounded in the brief's scope or typical engagement timelines." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the brief: Tromp IT/Phil focus on AI evaluation and the Ada published demonstration are listed in Selected experience and Services.", "groundedness_reason": "The reply stays within the brief, does not overstate capabilities or make commitments, and follows the recommended advice to start with the evidence the board needs." }, "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 stays within the brief's scope and does not overclaim." } }, "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-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 is a conversation worth having. Tromp IT works both directly with organisations and as a specialist subcontractor within consulting and delivery teams, especially around AI Evaluation & Testing. Phil Robin has deep experience in chatbot, RAG and conversational AI evaluation, and you can reach him at phil@trompit.com.au.", "latency_ms": 2603, "input_tokens": 4333, "output_tokens": 122, "cached_input_tokens": 0, "cost_usd": 0.025325, "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 expertise are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope: it confirms the subcontractor engagement model, names the relevant service (AI Evaluation & Testing), references Phil's actual experience areas, and provides his contact email 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 exactly.", "groundedness_reason": "The reply stays within the brief and makes no unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are present in the brief.", "groundedness_reason": "The answer correctly describes Tromp IT's engagement model and defers contact 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": "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 in principle. I can’t claim Tromp IT has a listed code-review case study, but it fits Phil’s AI Evaluation & Testing work if the task is to measure whether the system’s reviews are accurate, grounded in the code, useful to developers, and worth the cost. The key would be defining the evidence standard up front, including what “good review” means in your engineering context.", "latency_ms": 4324, "input_tokens": 4333, "output_tokens": 256, "cached_input_tokens": 0, "cost_usd": 0.029345, "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 approach are consistent with the brief.", "groundedness_reason": "Ada correctly identifies AI Evaluation & Testing as the relevant service, acknowledges the absence of a code-review case study, and grounds the response in the brief's four-step process (Understand, Define, Evaluate, Recommend) without overclaiming capability." }, "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 that code review is not a listed case study but aligns it with existing services and Phil's expertise, without overstating capability." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Claims align with the brief: Tromp IT offers AI Evaluation & Testing and measures accuracy, cost and failures, and no code-review case study is listed.", "groundedness_reason": "The reply stays within the brief by framing code-review as a form of AI evaluation and emphasising defining evidence up front per Tromp IT's 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 correctly qualifies its scope, defers to the brief, 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-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": "Engagement size is not a barrier; Phil has worked with both large corporations and small companies. Tromp IT scopes work up front with agreed deliverables, effort and cost, so a smaller focused evaluation can be designed if that is what the budget supports. There isn’t a published minimum spend I can quote here; Phil is the right person to discuss the practical scope.", "latency_ms": 2795, "input_tokens": 4333, "output_tokens": 130, "cached_input_tokens": 0, "cost_usd": 0.025565, "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, client size flexibility, and scoping process are accurate and directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's scope: it cites Phil's work with both large and small companies, explains the scoping process, and appropriately defers pricing discussion to Phil rather than inventing or estimating a minimum spend." }, "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 visitor's concerns about budget and engagement size without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual points match the brief about client size and scoping.", "groundedness_reason": "The reply stays within the brief and defers pricing questions to Phil as instructed." }, "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 correctly defers pricing 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": "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": "No — it makes evaluation more important, but the design has to account for instability. A one-off score can go stale quickly, so the useful evidence is usually a repeatable test set, clear failure categories and a way to compare behaviour across model versions or dates.\n\nThis fits Tromp IT’s AI Evaluation & Testing work. Phil has built this kind of evidence-led evaluation around conversational systems, including Ada’s published multi-model comparison on this site.", "latency_ms": 2971, "input_tokens": 4334, "output_tokens": 139, "cached_input_tokens": 0, "cost_usd": 0.02584, "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 names the service (AI Evaluation & Testing), references Phil's actual work (Ada's published comparison), and appropriately addresses the visitor's concern 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 are consistent with the brief: Tromp IT offers AI Evaluation & Testing and has a published multi-model comparison using Ada.", "groundedness_reason": "Recommendations map to listed capabilities (test set design, failure analysis, model comparison) and do not assert anything beyond 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": "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": "Yes — small size is not a barrier. Phil has worked with large organisations and small companies, and Tromp IT scopes engagements up front so the effort and deliverables match the problem and budget. For an AI triage system, the most relevant service is AI Evaluation & Testing: checking whether it routes requests correctly, where it fails, and what evidence you can rely on.", "latency_ms": 2669, "input_tokens": 4336, "output_tokens": 109, "cached_input_tokens": 0, "cost_usd": 0.02495, "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: engagement scoping, small-company experience, and AI Evaluation & Testing as the relevant service.", "groundedness_reason": "The answer stays within the brief's scope, names the specific service correctly, and avoids overclaiming on outcomes or pricing." }, "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 client size, scoping engagements up front, and the relevance of AI Evaluation & Testing match the brief.", "groundedness_reason": "The answer sticks to services and processes described in the brief and makes no unsupported commitments." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and supported by the brief.", "groundedness_reason": "The 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": "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 — that maps closely to Tromp IT’s AI Evaluation & Testing work, especially where the question is whether the assistant is giving reliable, grounded and auditable answers. Phil has worked on enterprise banking assistants and on production performance measurement in large-scale customer systems, but regulatory advice compliance would need your subject-matter and legal criteria built into the evaluation design. The work would start by defining the evidence needed, then testing against agreed scenarios and failure conditions rather than relying on a generic accuracy score.", "latency_ms": 3866, "input_tokens": 4336, "output_tokens": 200, "cached_input_tokens": 0, "cost_usd": 0.02768, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "regulatory advice compliance would need your subject-matter and legal criteria built into the evaluation design", "accuracy_reason": "Ada claims Phil has worked on 'regulatory advice compliance' evaluation, which is not stated in the brief.", "groundedness_reason": "Ada invents a capability (regulatory compliance evaluation) and overstates Phil's track record by implying he has experience evaluating financial advice under regulatory frameworks, which the brief does not support." }, "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 statements match the brief's services and selected experience.", "groundedness_reason": "The reply stays within the brief and ties to Tromp IT's evaluation process without overclaiming." }, "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, correctly describing services and experience 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": "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 fits Tromp IT’s AI Evaluation & Testing work, especially where simple “right/wrong” scoring misses the real risk. Phil’s focus is on designing evaluations that expose subtle failure patterns, not just producing a headline score. For a clause extraction system, the useful work would start by defining the evidence you need, then testing against representative examples and analysing where the model fails.", "latency_ms": 3115, "input_tokens": 4339, "output_tokens": 151, "cached_input_tokens": 0, "cost_usd": 0.026225, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil's focus is on designing evaluations that expose subtle failure patterns, not just producing a headline score.", "accuracy_reason": "Ada attributes a specific focus and approach to Phil that the brief does not support.", "groundedness_reason": "Ada invents a characterization of Phil's work that goes beyond what the brief states." }, "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 by connecting it to Tromp IT's services and Phil's expertise, without overstating capabilities." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the brief: Tromp IT offers AI Evaluation & Testing and focuses on exposing failures through test design and analysis.", "groundedness_reason": "The reply stays within the brief by describing evaluation, test-set design and failure analysis without adding unlisted capabilities." }, "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 stays within the brief's description of AI evaluation services and Phil's focus." } }, "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-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 can be realistic if the scope is kept tight and the evidence is useful to investors. Tromp IT’s AI Evaluation & Testing work is independent, so the output would focus on what was tested, how it was measured, where it failed, and what the results actually support. Phil has worked with both large organisations and small companies, so being pre-revenue is not a barrier by itself.", "latency_ms": 2674, "input_tokens": 4342, "output_tokens": 127, "cached_input_tokens": 0, "cost_usd": 0.02552, "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: AI Evaluation & Testing is a core service, it is independent, Phil has worked with both large and small companies, and engagement size is not a barrier.", "groundedness_reason": "The answer stays within the brief's scope, describes the service accurately, and appropriately avoids committing on Phil's behalf or quoting pricing. It correctly frames the evaluation as independent and focused on evidence rather than outcomes." }, "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 visitor's situation with relevant information about Tromp IT's services and Phil's experience." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims align with the brief: Tromp IT offers independent AI evaluation and Phil has worked with both large and small organisations.", "groundedness_reason": "The reply stays within the brief and does not overclaim capabilities or make forbidden commitments." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services, independence, and client size are correct per the brief.", "groundedness_reason": "The answer stays within the brief's scope, makes no overclaims, 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": "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": "Yes — Tromp IT’s AI Evaluation & Testing is not limited to single-model chatbots. Phil works on evaluation of agentic AI as well as RAG and conversational systems, with attention to where systems fail, what they cost, and whether the evidence behind a score is explainable. For a multi-agent setup, the work would usually start by defining what each handoff is meant to prove, then testing whether the overall chain behaves reliably.", "latency_ms": 3636, "input_tokens": 4340, "output_tokens": 203, "cached_input_tokens": 0, "cost_usd": 0.02779, "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 naming the service, describing agentic AI evaluation as a stated capability, and grounding the approach in the four-step process without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are directly supported by the brief.", "groundedness_reason": "The answer accurately reflects Tromp IT's capabilities in AI evaluation, specifically mentioning agentic AI and the approach to complex systems, without overstating." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The brief explicitly lists agentic AI, RAG and conversational systems as part of Tromp IT's AI Evaluation & Testing work and emphasises failures and cost.", "groundedness_reason": "The answer maps to the services and the Understand/Define/Evaluate steps in the brief and makes no unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and 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-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": "Yes, it can still fit, but the evaluation design changes. Phil has worked on production measurement for Telstra voice recognition systems, and Tromp IT can help assess the assistant’s behaviour, outcomes and failure patterns once calls are transcribed or otherwise measurable. If the question is pure audio engineering or telephony infrastructure, that is outside what I can confirm.", "latency_ms": 4054, "input_tokens": 4333, "output_tokens": 219, "cached_input_tokens": 0, "cost_usd": 0.028235, "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 references Phil's actual Telstra work, acknowledges evaluation design changes for voice systems, and honestly defers audio engineering and telephony infrastructure as outside confirmed scope." }, "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 Telstra production measurement work and Tromp IT's ability to evaluate conversational systems once they are measurable.", "groundedness_reason": "The reply stays within the services and boundaries in the brief and does not overclaim." }, "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 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": "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": "Yes, potentially. Tromp IT’s work is with Australian organisations, and client size or commercial status is not a barrier if the project fits AI Evaluation & Testing. Phil Robin has worked across conversational AI, RAG-style evaluation methods and multi-judge testing, so an academic evaluation project could be a sensible conversation if the scope is clear.", "latency_ms": 2374, "input_tokens": 4333, "output_tokens": 136, "cached_input_tokens": 0, "cost_usd": 0.025745, "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 what the brief supports: it confirms work with Australian organisations, notes that client size/status is not a barrier, names AI Evaluation & Testing as the relevant service, and accurately describes Phil's 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": "The answer matches the brief: Tromp IT is Australia-focused, client size is not a barrier, and evaluation services include RAG and multi-judge methods.", "groundedness_reason": "The reply sticks to what the brief allows and makes no commitments or unsupported claims." }, "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 stated scope 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": "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": "No, that is not too early; it is often the right point to start. Tromp IT’s AI Evaluation & Testing work begins with the “Understand” step, which is exactly about turning a messy production problem into evidence you can test. Phil has worked on conversational AI performance in real systems, including production measurement for Telstra voice systems and evaluation frameworks for LLM chatbots.", "latency_ms": 3238, "input_tokens": 4343, "output_tokens": 104, "cached_input_tokens": 0, "cost_usd": 0.024835, "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 Phil's experience are accurate and supported by the brief.", "groundedness_reason": "The answer stays within the brief: correctly names AI Evaluation & Testing, accurately describes the Understand step, and cites real examples (Telstra voice systems, LLM chatbot evaluation) from the Selected experience section." }, "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 Tromp IT's process and Phil's experience.", "groundedness_reason": "The reply stays within the brief, referencing the Understand step and stated client work without overclaiming." }, "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 stays within the brief, correctly describing the service, process, and relevant 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-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 evaluation is adjacent to Tromp IT’s AI Evaluation & Testing work, but I can’t confirm from the published service brief that it is a standard capability. Phil Robin is the right person to ask, because he would need to look at the language coverage, test data, and scoring method before saying whether Tromp IT can help. His email is phil@trompit.com.au.", "latency_ms": 2687, "input_tokens": 4332, "output_tokens": 135, "cached_input_tokens": 0, "cost_usd": 0.02571, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Multilingual evaluation is adjacent to Tromp IT's AI Evaluation & Testing work", "accuracy_reason": "Ada claims multilingual evaluation is 'adjacent to' Tromp IT's services, implying a relationship to stated capabilities that the brief does not support.", "groundedness_reason": "The brief explicitly instructs Ada not to assume or imply Tromp IT does capabilities not listed, and to say plainly it cannot confirm them. Describing multilingual evaluation as 'adjacent' to AI Evaluation & Testing overclaims by implying a connection the brief forbids.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that multilingual evaluation is not a confirmed standard capability and correctly defers to Phil Robin for further information, providing his email address.", "groundedness_reason": "The answer correctly identifies that the brief does not explicitly cover multilingual evaluation and defers to Phil, as instructed for capabilities not covered in the brief. It also provides his email as instructed." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly defers on multilingual capability and directs the visitor to Phil, which matches the brief.", "groundedness_reason": "The answer follows the brief's instruction to not confirm multilingual capability and to refer the question 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 correctly defers to Phil for a capability not confirmed 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": "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": "Yes, that is workable in principle. Tromp IT’s AI Evaluation & Testing can be designed around security and infrastructure constraints, including evaluation that stays within your AWS environment. Phil has done platform-independent AI evaluation work, so the starting point would be to define the evidence needed and the controls the evaluation must operate within.", "latency_ms": 2393, "input_tokens": 4334, "output_tokens": 104, "cached_input_tokens": 0, "cost_usd": 0.02479, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Phil has done platform-independent AI evaluation work, so the starting point would be to define the evidence needed and the controls the evaluation must operate within.", "accuracy_reason": "All factual claims about Tromp IT's capabilities are consistent with the brief.", "groundedness_reason": "Ada asserts that evaluation 'can be designed around' security constraints, but the brief says evaluation 'can be designed to operate within' existing controls — a meaningful difference. Ada also claims Phil 'has done platform-independent AI evaluation work' as evidence this is workable, but the brie", "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": "The answer directly addresses the visitor's concern about evaluation within an AWS environment and aligns with the brief's statements on data control and platform independence." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply reflects the brief's statements about platform-independent evaluation and designing evaluations to respect clients' security and infrastructure constraints.", "groundedness_reason": "The answer stays within the brief and avoids commitments or invented capabilities, offering a feasible, non-committal approach." }, "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 scope 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": [ "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. Tromp IT works both directly with organisations and as a specialist subcontractor inside consulting and delivery teams. Phil Robin’s AI Evaluation & Testing work covers chatbots, RAG systems and agentic AI, including test design, failure analysis and LLM-as-judge frameworks. Engagements are scoped up front, with agreed deliverables, effort and cost before work begins.", "latency_ms": 2636, "input_tokens": 4346, "output_tokens": 126, "cached_input_tokens": 0, "cost_usd": 0.02551, "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, Phil Robin's expertise, and the AI Evaluation & Testing service are accurate and supported by the brief.", "groundedness_reason": "The answer stays within the brief's scope, names the relevant service, describes the engagement model correctly, and does not overclaim 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": "All claims match the brief exactly.", "groundedness_reason": "The answer stays within the brief and makes no unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and supported by the brief.", "groundedness_reason": "The answer stays within the brief's description of services 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": "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-specific compliance support is not something I can confirm as a Tromp IT service from this brief. It is adjacent to Phil’s AI Evaluation & Testing work, especially where you need evidence that an AI system performs as claimed. The right next step would be to ask Phil directly whether your required controls and evidence map to what Tromp IT can evaluate. You can reach him at phil@trompit.com.au.", "latency_ms": 3633, "input_tokens": 4338, "output_tokens": 154, "cached_input_tokens": 0, "cost_usd": 0.02631, "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 outside the brief, acknowledges adjacency to AI Evaluation & Testing, and defers 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 defers on an unlisted capability and links the question to Tromp IT's AI Evaluation & Testing service.", "groundedness_reason": "The answer stays within the brief, does not overclaim, and directs the visitor to Phil with his email as required." }, "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": "Answer correctly defers to Phil for an unconfirmed capability, staying 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": "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": "Yes — small scope is not a barrier if the prompts matter to customers or risk. Phil works on AI evaluation and conversational AI, and Tromp IT can do a focused AI Evaluation & Testing engagement around a small prompt set without turning it into a large program. The useful question is usually not “how many prompts?” but “what would failure cost, and what evidence would make you confident?”", "latency_ms": 2565, "input_tokens": 4335, "output_tokens": 122, "cached_input_tokens": 0, "cost_usd": 0.025335, "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: small engagement size is not a barrier, Phil works on AI evaluation and conversational AI, and focused evaluation of a small prompt set is within scope.", "groundedness_reason": "The answer stays within the brief's support. It names the service (AI Evaluation & Testing), references Phil's actual work areas, confirms small scope is acceptable, and reframes the decision usefully without inventing capability or making commitments." }, "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: Phil's focus is AI evaluation and conversational AI, and engagement size is not a barrier.", "groundedness_reason": "The answer follows the brief on services, scoping and focusing on evidence rather than prompt count." }, "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 stays within brief-supported information 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-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 a content recommendation system is adjacent to Tromp IT’s AI Evaluation & Testing work, but I can’t honestly confirm from here that it is a service Phil covers as a standard engagement. Phil’s listed evaluation work is strongest around chatbots, RAG systems, agentic AI, conversational testing and analytics. For a recommender system at that scale, he would be the right person to ask directly: phil@trompit.com.au.", "latency_ms": 3946, "input_tokens": 4341, "output_tokens": 178, "cached_input_tokens": 0, "cost_usd": 0.027045, "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 bias evaluation as adjacent but unconfirmed, defers to Phil rather than overclaiming capability, and provides his contact details as instructed." }, "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 bias in recommendation systems as adjacent to Tromp IT's work, defers to Phil for specifics, and provides his contact details, all in line with the brief's instructions for handling topics not explicitly covered." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer matches the brief's listed evaluation services and correctly declines to confirm recommender-system work.", "groundedness_reason": "The reply stays within the brief, treats recommender systems as adjacent but unconfirmed, and gives Phil's contact as the brief requires." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and contact are correct.", "groundedness_reason": "Answer correctly defers to Phil for an unconfirmed 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": "HOW-001", "category": "How We Work", "category_id": "HOW", "question": "How long does an engagement take?", "ada_response": "It depends on the system, the evidence needed, and how ready the test data is. Phil scopes engagements up front, with agreed deliverables, effort and cost before work begins. For AI Evaluation & Testing, the first step is usually to understand what decision the evaluation needs to support.", "latency_ms": 2386, "input_tokens": 4315, "output_tokens": 116, "cached_input_tokens": 0, "cost_usd": 0.025055, "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 what the brief supports: it correctly describes the scoping process, names the service, and references the four-step engagement model without overclaiming or inventing detail." }, "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 regarding engagement scoping and the initial steps of AI evaluation." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's points that engagements are scoped up front and that evaluation starts by understanding the problem and evidence needed.", "groundedness_reason": "All statements trace to the brief's description of Tromp IT's process and services and add no unsupported commitments or details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "Answer stays within the brief's description of scoping 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-002", "category": "How We Work", "category_id": "HOW", "question": "What do I get at the end?", "ada_response": "You get evidence, not just a score. For an AI Evaluation & Testing engagement, Phil would define the test approach up front, run the evaluation, analyse failures, and deliver findings with prioritised recommendations. The exact deliverables are agreed before work begins, so the output matches the decision you need to make.", "latency_ms": 2379, "input_tokens": 4316, "output_tokens": 101, "cached_input_tokens": 0, "cost_usd": 0.02461, "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 process are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately describing the four-step engagement process and the principle that deliverables are agreed upfront." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are consistent with the brief's description of Tromp IT's services and process.", "groundedness_reason": "The answer directly addresses the question by outlining the deliverables and process for an AI Evaluation & Testing engagement, staying within the information provided in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's four-step process and scoping statements exactly.", "groundedness_reason": "All claims (evidence not just a score; define up front; evaluate and analyse failures; agreed deliverables) are stated in the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about deliverables and process are in the brief.", "groundedness_reason": "Answer stays within the described services 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": "Yes, Tromp IT can discuss confidential work under appropriate commercial arrangements, but I can’t confirm legal terms or commit to an NDA in chat. Phil Robin handles that directly, and he’s the right person to ask about the specific form and scope. You can reach him at phil@trompit.com.au.", "latency_ms": 2525, "input_tokens": 4314, "output_tokens": 66, "cached_input_tokens": 0, "cost_usd": 0.02355, "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 commit to legal terms in chat, defers to Phil for NDA specifics, and provides his contact email as instructed." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that Tromp IT can discuss confidential work and defers legal terms and commitments to Phil, which is consistent with the brief's instructions on commitments and contact.", "groundedness_reason": "The answer appropriately defers to Phil for legal terms and commitments, as the brief does not provide Ada with the authority to make such commitments." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply aligns with the brief's statements about handling sensitive data and referring legal commitments to Phil while providing his email.", "groundedness_reason": "The answer defers NDA/legal commitments to Phil and reflects the brief's guidance on designing evaluations around sensitive-data constraints and giving phil@trompit.com.au." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "Answer stays within the brief, correctly defers legal commitments 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-004", "category": "How We Work", "category_id": "HOW", "question": "Can you work as a subcontractor?", "ada_response": "Yes. Tromp IT works directly with organisations and also as a specialist subcontractor within consulting and delivery teams. Phil Robin brings deep AI evaluation, conversational AI and analytics experience, so that can fit well where a prime team needs independent testing, failure analysis or analytics depth without selling a platform.", "latency_ms": 2019, "input_tokens": 4316, "output_tokens": 61, "cached_input_tokens": 0, "cost_usd": 0.02341, "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 accurate and directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately describing the two engagement modes and Phil's expertise without overclaiming or inventing detail." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are directly supported by the brief.", "groundedness_reason": "The answer accurately reflects Tromp IT's engagement modes and Phil's expertise without overstating or inventing information." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply repeats the brief's statements about subcontracting and Phil's focus on AI evaluation and analytics.", "groundedness_reason": "All claims align with the brief's descriptions of services (evaluation, failure analysis, analytics) and vendor-independence." }, "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 scope of 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": "HOW-005", "category": "How We Work", "category_id": "HOW", "question": "How is cost determined?", "ada_response": "Cost is scoped case by case, based on the system being evaluated, the evidence needed, the test design, and the agreed deliverables. Phil would normally define the work up front so effort, outputs and cost are clear before anything starts. Tromp IT does not publish fixed rates or package pricing, because the work can range from a focused evaluation to a broader testing framework.", "latency_ms": 2974, "input_tokens": 4313, "output_tokens": 111, "cached_input_tokens": 0, "cost_usd": 0.024895, "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 cost are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports: scoping up front, agreed deliverables, and no fixed rates." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "The answer stays within the information provided in the brief regarding how engagements are scoped and costed." }, "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 priced case-by-case.", "groundedness_reason": "All claims trace to the brief's description of scoping, evidence-led evaluation and the instruction not to publish fixed rates." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about scoping and pricing are consistent with the brief.", "groundedness_reason": "The answer correctly describes the scoping process without quoting or estimating 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-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": "Tromp IT works with both large organisations and smaller companies, and engagement size is not a barrier either way. Phil scopes work up front around the evidence needed, deliverables, effort and cost, so a one-off evaluation or focused analysis can be perfectly valid if the question is clear.", "latency_ms": 1710, "input_tokens": 4331, "output_tokens": 61, "cached_input_tokens": 0, "cost_usd": 0.023485, "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 the engagement scoping process are directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's explicit statements about client size and engagement structure, with no overclaiming or invention." }, "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: Tromp IT works with both large and small clients and scopes engagements up front.", "groundedness_reason": "All claims trace to the brief and do not add unsupported details." }, "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 strictly within the brief's stated facts." } }, "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 — that is often a sensible point to bring in independent help. Phil can review the current evaluation design, test data, scoring method and failure analysis, then identify what evidence is reliable and what needs tightening. That fits Tromp IT’s AI Evaluation & Testing work without assuming you need to throw away what you already have.", "latency_ms": 1786, "input_tokens": 4332, "output_tokens": 68, "cached_input_tokens": 0, "cost_usd": 0.0237, "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 approach are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately describing AI Evaluation & Testing work and the four-step process (Understand, Define, Evaluate, Recommend) without overclaiming or inventing 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": "The reply aligns with the brief: Tromp IT provides AI Evaluation & Testing and can review test design and failure analysis.", "groundedness_reason": "The answer stays within the brief’s scope and makes no unsupported commitments or claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about services and approach are consistent with the brief.", "groundedness_reason": "The answer stays within the described services and engagement model." } }, "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 before work begins. Phil can discuss the right commercial model for the work, but I shouldn’t quote or imply pricing here. If you want to take it further, you can reach him at phil@trompit.com.au.", "latency_ms": 2301, "input_tokens": 4325, "output_tokens": 129, "cached_input_tokens": 0, "cost_usd": 0.025495, "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 quote or imply pricing; and provides Phil's contact email 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 correctly states that engagements are scoped upfront and defers pricing discussions to Phil, which aligns with the brief's instructions." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief: engagements are scoped up front and pricing/questions are directed to Phil.", "groundedness_reason": "The reply stays within the brief, refuses to quote pricing, and gives Phil's contact 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 correctly defers pricing specifics to Phil and provides contact details as instructed." } }, "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 anything is committed, Phil works through the problem, the evidence you need, and what would count as a useful answer. The scope is then defined up front: success criteria, test data, method, deliverables, effort and cost. That becomes the basis for the engagement, so the evaluation is not an open-ended experiment.", "latency_ms": 2226, "input_tokens": 4323, "output_tokens": 105, "cached_input_tokens": 0, "cost_usd": 0.024765, "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 scoping process are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports, mapping directly to the four-step engagement process and the scoping details provided." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's scoping process are consistent with the brief.", "groundedness_reason": "The answer accurately describes the scoping process as detailed in the brief without overclaiming or adding ungrounded information." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's described scoping steps and statements about agreeing scope, success criteria, test data, effort and cost up front.", "groundedness_reason": "All assertions map directly to the four-step process and scoping language in the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about the scoping process are directly from the brief.", "groundedness_reason": "The answer correctly describes the defined 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-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 can work as a specialist subcontractor within consulting and delivery teams. Phil has done that kind of delivery before, including AI testing and analytics work delivered through partner teams rather than directly to the end client. \n\nThe practical details around white-labelling, visibility, scope and commercial terms would need to be agreed with Phil directly.", "latency_ms": 3142, "input_tokens": 4330, "output_tokens": 130, "cached_input_tokens": 0, "cost_usd": 0.02555, "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 consistent with the brief.", "groundedness_reason": "The answer correctly states Tromp IT's capability to work as a specialist subcontractor, appropriately defers commercial and practical details to Phil, and does not overcommit." }, "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 can act as a specialist subcontractor and that Phil has delivered work through partner teams.", "groundedness_reason": "The answer stays within the brief and defers commercial/white‑labelling details to Phil." }, "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 description of engagement modes and defers specifics 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": "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": "Typically it would be Phil Robin directly from Tromp IT, especially for evaluation design, analysis and recommendations. For larger delivery contexts, Tromp IT can work as a specialist adviser inside a client or consulting team rather than supplying a large delivery crew. Engagement size is scoped up front, so the people involved would be agreed before work begins.", "latency_ms": 3001, "input_tokens": 4322, "output_tokens": 145, "cached_input_tokens": 0, "cost_usd": 0.02596, "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": "The answer stays within what the brief supports: Phil's direct involvement, work within consulting teams, and upfront scoping are all stated in the brief." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are consistent with the brief.", "groundedness_reason": "The answer accurately reflects the information in the brief regarding Phil's involvement and engagement delivery." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the brief about Phil doing the work, specialist-advisor mode, and upfront scoping.", "groundedness_reason": "Statements trace directly to the brief's descriptions of Tromp IT's delivery modes and scoping." }, "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 engagement 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": "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": "You can start informally. Phil usually begins by understanding the problem and the evidence you need, then any actual engagement is scoped up front with agreed deliverables, effort and cost. That fits Tromp IT’s process: Understand, Define, Evaluate, Recommend.", "latency_ms": 3006, "input_tokens": 4330, "output_tokens": 128, "cached_input_tokens": 0, "cost_usd": 0.02549, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil usually begins by understanding the problem and the evidence you need", "accuracy_reason": "Ada attributes a statement to Phil ('Phil usually begins by understanding the problem') that is not supported by the brief and invents a personal practice not stated anywhere.", "groundedness_reason": "Ada invents a characterization of Phil's typical approach that goes beyond what the brief establishes. The brief describes Tromp IT's process, not Phil's personal habits or preferences." }, "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 engagement process and how work is scoped according to the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief saying engagements start by understanding the problem and are scoped up front with agreed deliverables, effort and cost.", "groundedness_reason": "The statements about an informal start, the 'Understand' step, and scoping engagements are all supported by the brief." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Phil usually begins by understanding the problem and the evidence you need", "accuracy_reason": "The answer attributes a typical practice to Phil that the brief does not state.", "groundedness_reason": "The answer implies a standard approach not explicitly supported by 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, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "deepseek-v3.2" ] }, { "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": "Engagements are scoped up front with agreed deliverables, effort and cost, so a material change would be handled by re-scoping rather than quietly absorbing it or letting the work drift. Phil would look at what changed, what evidence is still needed, and whether the original evaluation design still makes sense. Any revised effort or cost would be agreed before proceeding.", "latency_ms": 2856, "input_tokens": 4324, "output_tokens": 120, "cached_input_tokens": 0, "cost_usd": 0.02522, "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 stays within what the brief supports: it describes the scoping process, mentions re-scoping for material changes, and appropriately attributes decision-making to Phil without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are consistent with the brief.", "groundedness_reason": "The answer directly reflects the information provided in the brief regarding engagement scoping and handling changes." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Statement matches the brief: engagements are scoped up front with agreed deliverables, effort and cost.", "groundedness_reason": "All claims follow the brief's description of scoping and agreeing revised effort/cost; no unsupported details were added." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about scoping and handling changes are consistent with the brief.", "groundedness_reason": "The answer correctly describes the scoping process and 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-014", "category": "How We Work", "category_id": "HOW", "question": "What format do your deliverables usually come in — reports, dashboards, presentations, something else?", "ada_response": "Usually a written report or findings deck, with the evidence behind it clearly traceable. For AI Evaluation & Testing, Phil would typically define the test set, scoring method, failure analysis and recommendations up front, then deliver the results in a form the client can use internally. For analytics or cost work, dashboards or data extracts may also be part of the deliverable if that is what the engagement needs.", "latency_ms": 3134, "input_tokens": 4327, "output_tokens": 136, "cached_input_tokens": 0, "cost_usd": 0.025715, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil would typically define the test set, scoring method, failure analysis and recommendations up front", "accuracy_reason": "Ada attributes a statement to Phil ('Phil would typically define...') that the brief does not support.", "groundedness_reason": "Ada invents a personal preference or typical practice for Phil that is not stated in the brief, violating the instruction not to attribute opinions or recommendations to him beyond what is written.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "For AI Evaluation & Testing, Phil would typically define the test set, scoring method, failure analysis and recommendations up front, then deliver the results in a form the client can use internally.", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer implies that Phil personally defines the test set, scoring method, failure analysis, and recommendations for AI Evaluation & Testing, which is a slight overclaim of his specific role in every engagement, even though it aligns with the overall process.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Statements match the brief's description of deliverables and the Define/Evaluate/Recommend process.", "groundedness_reason": "All claims follow the brief: AI evaluation defines test sets and methods up front and analytics can include dashboards." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Phil would typically define the test set, scoring method, failure analysis and recommendations up front", "accuracy_reason": "The answer attributes a specific action to Phil that the brief does not state.", "groundedness_reason": "The answer overclaims by stating a typical process for Phil 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": "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": "Yes, that is generally flexible. Tromp IT works both directly with organisations and as a specialist within existing consulting or delivery teams, so fitting into a client's project cadence is normal. Phil would still want the evaluation scope, deliverables and decision points agreed up front, so the work stays evidence-based rather than becoming open-ended project support.", "latency_ms": 3036, "input_tokens": 4329, "output_tokens": 144, "cached_input_tokens": 0, "cost_usd": 0.025965, "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 working arrangements and process are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports: it accurately describes Tromp IT's two engagement modes, correctly notes the requirement for upfront agreement on scope and deliverables, and does not overclaim or invent details." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are consistent with the brief.", "groundedness_reason": "The answer directly reflects information in the brief about how Tromp IT works with clients and the importance of agreeing on scope and deliverables." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief about working as a specialist within delivery teams and scoping work up front.", "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 claims about Tromp IT's working methods are correct.", "groundedness_reason": "The answer is fully supported by the brief's description of engagement modes 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-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": "Tromp IT scopes engagements up front with agreed deliverables, effort and cost, so I can’t confirm a standard retainer model. If you need ongoing access for repeated AI testing, the closest fit may be platform-based evaluation, where Phil can advise on the right setup without reselling a product. For commercial arrangements like retainers, it’s best to ask Phil directly at phil@trompit.com.au.", "latency_ms": 2643, "input_tokens": 4326, "output_tokens": 142, "cached_input_tokens": 0, "cost_usd": 0.02589, "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 and platform-based evaluation are consistent with the brief.", "groundedness_reason": "Ada correctly states that engagements are scoped up front, mentions platform-based evaluation as a potential fit for ongoing needs, declines to confirm a retainer model (which the brief does not describe), and appropriately defers commercial arrangement questions to Phil." }, "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 that Tromp IT scopes engagements up front and defers questions about commercial arrangements like retainers to Phil, which is consistent with the brief's instructions not to make commitments on Tromp IT's behalf or quote pricing. The mention of platform-based evaluation as a pot" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the brief: engagements are scoped up front, platform-based evaluation fits ongoing needs, and Phil's contact is provided.", "groundedness_reason": "The reply stays within stated services and boundaries and defers commercial terms to Phil as required." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement model and platform-based evaluation are correct.", "groundedness_reason": "Answer stays within brief, correctly defers commercial arrangements 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-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": "To scope a quote, Phil would usually need a clear description of the system or problem, what evidence you need, and what decisions the work is meant to support. For AI Evaluation & Testing, that usually means the type of system, expected behaviours, available test data, access constraints, and the deliverables you want. Tromp IT scopes engagements up front, with agreed effort, cost and outputs before work begins.", "latency_ms": 2589, "input_tokens": 4324, "output_tokens": 118, "cached_input_tokens": 0, "cost_usd": 0.02516, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "To scope a quote, Phil would usually need a clear description of the system or problem, what evidence you need, and what decisions the work is meant to support.", "accuracy_reason": "Ada attributes a specific quoting process to Phil ('Phil would usually need') that is not stated in the brief, and invents detail about what Phil typically requires.", "groundedness_reason": "Ada fabricates Phil's typical requirements and decision-making process beyond what the brief supports, and makes commitments about scoping that go beyond the brief's scope statement." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are consistent with the brief.", "groundedness_reason": "The answer accurately describes the information needed for scoping engagements, directly reflecting the brief's content." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's guidance on starting with the problem, evidence needed, and scoping engagements up front.", "groundedness_reason": "All items named map to the brief's Understand/Define steps and the scoping language about test data, access constraints and agreed deliverables." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about scoping and needed information are consistent with the brief.", "groundedness_reason": "The answer correctly describes the scoping process and defers specifics to Phil 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-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": "Yes — Tromp IT can scope work up front before a larger engagement, with agreed deliverables, effort and cost. That fits the Understand and Define stages: clarifying the problem, evidence needed, success criteria, test data and method before evaluation begins. Phil Robin would normally be the right person to confirm the shape of that paid discovery for your situation.", "latency_ms": 1932, "input_tokens": 4323, "output_tokens": 74, "cached_input_tokens": 0, "cost_usd": 0.023835, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Tromp IT can scope work up front before a larger engagement, with agreed deliverables, effort and cost.", "accuracy_reason": "Ada claims Tromp IT can scope work with 'agreed deliverables, effort and cost' as a paid discovery phase, but the brief does not state that Tromp IT offers paid discovery phases or that engagements can be scoped in stages before commitment.", "groundedness_reason": "Ada invents a service structure (paid discovery before full engagement) not described in the brief. The brief states engagements are 'scoped up front with agreed deliverables, effort and cost' but does not support the claim that this happens as a separate paid discovery phase preceding a larger enga", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are consistent with the brief.", "groundedness_reason": "The answer accurately reflects the brief's description of how engagements are scoped and delivered, and correctly defers to Phil for specific details." }, "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 cites the Understand and Define stages and directs the visitor to Phil, both of which the brief supports." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about scoping and the process are supported by the brief.", "groundedness_reason": "The answer correctly describes the process and 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": "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": "The fastest honest path is a tightly scoped evaluation, not a compressed version of a large one. Phil would first lock down the question, evidence needed, test set and deliverables, then focus the work on the highest-risk behaviours. I can’t promise availability or dates here, but Tromp IT scopes engagements up front so speed does not come from skipping method or hiding uncertainty.", "latency_ms": 2802, "input_tokens": 4328, "output_tokens": 150, "cached_input_tokens": 0, "cost_usd": 0.02614, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil would first lock down the question, evidence needed, test set and deliverables, then focus the work on the highest-risk behaviours.", "accuracy_reason": "Ada attributes a specific approach and decision-making process to Phil that is not stated in the brief.", "groundedness_reason": "Ada invents a substantive claim about how Phil would handle time-pressured engagements ('lock down the question, evidence needed, test set and deliverables, then focus the work on the highest-risk behaviours') that goes beyond what the brief supports." }, "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 stays within the bounds of the brief, explaining how engagements are scoped and declining to commit to specific dates or availability, which aligns with the brief's instructions." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Matches the brief's description that Tromp IT defines scope, test data and deliverables before work begins.", "groundedness_reason": "Stays within the brief, cites scoping practice and avoids making commitments about availability or dates." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about Tromp IT's process and scope are correct.", "groundedness_reason": "Answer stays within the brief, correctly defers on commitments, and describes the defined 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": "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": "That’s a contractual point, so I shouldn’t state a default ownership position on Tromp IT’s behalf. Engagements are scoped up front with agreed deliverables, but IP ownership, rights to reuse methodology, and treatment of outputs should be confirmed with Phil directly. You can reach him at phil@trompit.com.au.", "latency_ms": 2926, "input_tokens": 4331, "output_tokens": 121, "cached_input_tokens": 0, "cost_usd": 0.025285, "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 declines to state a default position on IP ownership.", "groundedness_reason": "Ada stays within the brief's boundaries by acknowledging this is a contractual matter, noting that engagements are scoped with agreed deliverables, and deferring to Phil for specifics on IP ownership and methodology rights—exactly as the brief instructs for topics it does not cover." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that IP ownership is a contractual point and defers to Phil, which is consistent with the brief's instructions on handling commitments and unconfirmed capabilities.", "groundedness_reason": "The answer appropriately defers to Phil on a contractual point not covered in the brief, without making any assumptions or overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly defers IP ownership as a contractual matter and references that engagements are scoped up front, and it supplies Phil's email as the brief requires.", "groundedness_reason": "The answer stays within the brief by not asserting a default ownership position and by directing the user to Phil 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 a contractual matter not covered 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": "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": "Yes, that sounds compatible with how Tromp IT works, especially where Phil is acting as a specialist advisor inside a delivery or consulting team. The engagement would still be scoped up front, with agreed outcomes and deliverables, rather than becoming open-ended staff augmentation. For an AI evaluation role, that can work well because the test design and failure analysis benefit from being close to the team building the system.", "latency_ms": 2965, "input_tokens": 4337, "output_tokens": 151, "cached_input_tokens": 0, "cost_usd": 0.026215, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "that can work well because the test design and failure analysis benefit from being close to the team building the system", "accuracy_reason": "All factual claims about Tromp IT's working model are consistent with the brief.", "groundedness_reason": "Ada asserts that embedded team models 'can work well' for AI evaluation based on benefits to test design, but the brief does not establish this as Tromp IT's experience or recommendation—it only states the working model exists, not that it has been validated or is particularly effective." }, "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 about subcontractor roles and scoping engagements up front.", "groundedness_reason": "Statements follow the brief's lines about working as a specialist advisor and scoping deliverables before work begins." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about engagement models are supported by the brief.", "groundedness_reason": "The answer correctly describes a supported engagement mode 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": "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 and prefers synthetic, anonymised or representative test data where practical. Phil designs evaluation work so the evidence is useful without taking unnecessary custody of client data.\n\nClient data is not sent to third-party AI services without agreement. If you have stricter constraints, such as data residency or “data must not leave Australia”, the evaluation architecture can be designed around that constraint.", "latency_ms": 2730, "input_tokens": 4325, "output_tokens": 140, "cached_input_tokens": 0, "cost_usd": 0.025825, "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 the brief's scope, accurately representing data minimisation, synthetic/anonymised test data preferences, third-party service restrictions, and the ability to design around data residency constraints." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer directly addresses the question using information provided in the brief without overstating capabilities or making unsupported claims." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's statements about data minimisation, preferred test data, and architecture for residency constraints.", "groundedness_reason": "The reply stays within the brief and does not add capabilities or commitments beyond it." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about data handling are directly from the brief.", "groundedness_reason": "The answer stays strictly within the brief's description of data security and residency 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, with agreed deliverables, effort and cost before work begins. The work itself follows a clear sequence: Understand, Define, Evaluate, Recommend. I can’t confirm the invoicing mechanics from here, so Phil is the right person to ask about milestone billing versus a regular cycle.", "latency_ms": 2973, "input_tokens": 4330, "output_tokens": 119, "cached_input_tokens": 0, "cost_usd": 0.02522, "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 what the brief confirms (scoped engagements with agreed deliverables, effort and cost; the four-step process) and appropriately defers the invoicing mechanics question to Phil rather than inventing details." }, "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 what is known from the brief and defers to Phil for information not explicitly covered, such as invoicing mechanics." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly restates that engagements are scoped up front and follow the four-step process, and it appropriately defers on invoicing.", "groundedness_reason": "All assertions are directly supported by the brief and no unsupported claims were made.", "citation_review": [ "brief_quote_not_verbatim" ] }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about scoping and process are correct.", "groundedness_reason": "Answer correctly defers to Phil on a detail the brief does not specify." } }, "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": "Tromp IT does not quote or estimate “typical” pricing without scope, because evaluation effort depends heavily on the system, test design, evidence required and deliverables. Engagements are scoped up front with agreed effort, cost and outputs before work begins. For internal budgeting, Phil can usually talk through the likely shape of the work without turning it into a full scoping exercise; you can reach him at phil@trompit.com.au.", "latency_ms": 3252, "input_tokens": 4337, "output_tokens": 170, "cached_input_tokens": 0, "cost_usd": 0.026785, "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 approach are correct and consistent with the brief.", "groundedness_reason": "The answer stays within the brief's explicit guidance: it declines to quote pricing, explains why (scope-dependent), describes the engagement process accurately, and offers Phil's contact for further discussion without making commitments." }, "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 refuses to quote pricing without scope and says engagements are scoped up front, matching the brief.", "groundedness_reason": "All statements are supported by the brief and giving Phil's email in the same reply is required." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's pricing policy are correct.", "groundedness_reason": "The answer correctly declines to quote pricing and defers to Phil, staying 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": "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": "Tromp IT would flag that early. The Define step is there to agree scope and deliverables up front, but the Evaluate step can uncover issues that are outside the original brief. Phil’s role is to report the evidence clearly, explain what it means, and recommend what is worth doing next rather than quietly expanding the work or ignoring it.", "latency_ms": 2400, "input_tokens": 4336, "output_tokens": 72, "cached_input_tokens": 0, "cost_usd": 0.02384, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Tromp IT would flag that early. The Define step is there to agree scope and deliverables up front, but the Evaluate step can uncover issues that are outside the original brief. Phil's role is to report the evidence clearly, explain what it means, and recommend what is worth doing next rather than quietly expanding the work or ignoring it.", "accuracy_reason": "Ada invents a commitment about flagging issues early that is not stated in the brief.", "groundedness_reason": "Ada attributes a specific practice ('would flag that early') and a role description to Phil that the brief does not support." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately reflects Tromp IT's approach to scoping and managing engagements, consistent with the brief.", "groundedness_reason": "The answer stays within the information provided in the brief regarding engagement steps and Phil's role." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Statement matches the brief's four-step process and emphasis on scoped engagements and reporting findings.", "groundedness_reason": "Answer stays within the brief by citing Define/Evaluate/Recommend steps and Phil reporting evidence without overclaiming." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about the process are consistent with the brief.", "groundedness_reason": "The answer correctly describes the defined process and Phil's role 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": "OOS-001", "category": "Out of Scope", "category_id": "OOS", "question": "Can you help me write my CV?", "ada_response": "I’m not really set up as a general CV-writing assistant here. This chat is mainly for questions about Tromp IT’s AI evaluation, analytics and cloud cost work, led by Phil Robin in Melbourne. If your CV is for an AI evaluation, analytics or conversational AI role, I can help you frame relevant experience at a high level.", "latency_ms": 2831, "input_tokens": 4316, "output_tokens": 136, "cached_input_tokens": 0, "cost_usd": 0.02566, "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 Robin leads the firm in Melbourne, and the services mentioned (AI evaluation, analytics, cloud cost work) are accurately described.", "groundedness_reason": "Ada correctly declines an off-topic request, stays within scope, and appropriately offers a narrow conditional path forward without overclaiming capability." }, "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 the off-topic request and offers relevant assistance only within Tromp IT's stated capabilities." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply accurately reflects the brief: Ada represents Tromp IT, the business focuses on AI evaluation, analytics and cloud cost work, and Phil Robin is based in Melbourne.", "groundedness_reason": "The answer stays within the brief by declining an off-topic CV service and offering relevant, domain-specific help consistent with Tromp IT's services." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's scope and leadership are correct.", "groundedness_reason": "The answer correctly declines an off-topic request and stays within the brief's defined 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-002", "category": "Out of Scope", "category_id": "OOS", "question": "Do you do web development?", "ada_response": "Not as a general web development service. Tromp IT is focused on AI evaluation, AI usage analysis, analytics and cloud cost analysis, with Phil Robin’s recent work centred on measuring whether AI systems are actually working. If the web project involves evaluating a chatbot or analytics behind a digital service, that may fit; building websites is outside the current offer.", "latency_ms": 2389, "input_tokens": 4314, "output_tokens": 73, "cached_input_tokens": 0, "cost_usd": 0.02376, "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": "The answer correctly identifies what Tromp IT does and does not do, stays within the brief, and appropriately declines an out-of-scope request while noting a potential overlap." }, "gemini": { "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": "The answer accurately states what Tromp IT does and does not do, without overclaiming or inventing services." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly reflects Tromp IT's services and Phil Robin's stated focus in the brief.", "groundedness_reason": "The answer stays within the brief and does not invent capabilities or overclaim." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and focus are correct per the brief.", "groundedness_reason": "Answer correctly declines the off-topic request and stays within 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": "OOS-003", "category": "Out of Scope", "category_id": "OOS", "question": "Can you recommend a good restaurant in Melbourne?", "ada_response": "I can’t really help with restaurant recommendations. I’m here for questions about Tromp IT’s AI evaluation, analytics and cloud cost work, led by Phil Robin in Melbourne.", "latency_ms": 2980, "input_tokens": 4317, "output_tokens": 124, "cached_input_tokens": 0, "cost_usd": 0.025305, "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 Robin leads the work, it is based in Melbourne, and the services listed (AI evaluation, analytics, cloud cost) are accurate.", "groundedness_reason": "The answer appropriately declines an off-topic request without overstepping. It stays within the brief by naming the actual services Tromp IT offers and mentioning Phil by name naturally." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that Tromp IT's work is led by Phil Robin in Melbourne and focuses on AI evaluation, analytics, and cloud cost, which aligns with the brief.", "groundedness_reason": "The answer correctly declines an off-topic request and redirects the conversation to Tromp IT's services as outlined in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines an off-topic request and accurately describes Tromp IT's focus and Phil's location.", "groundedness_reason": "All statements align with the brief and do not add unsupported claims." }, "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 scope.", "groundedness_reason": "The answer stays within its role, does not attempt the request, and correctly references Phil and the 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-004", "category": "Out of Scope", "category_id": "OOS", "question": "What's the weather like?", "ada_response": "I can’t check live weather from here. I’m best used for questions about Tromp IT’s AI evaluation, analytics and cost analysis work with Phil Robin.", "latency_ms": 2607, "input_tokens": 4313, "output_tokens": 120, "cached_input_tokens": 0, "cost_usd": 0.025165, "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 capability." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that Ada cannot check live weather and focuses on Tromp IT's services, which is consistent with the brief.", "groundedness_reason": "The answer appropriately declines an off-topic request and redirects the conversation to Tromp IT's services, as instructed by the brief's boundaries." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines an off-topic weather request and accurately references Tromp IT services and Phil Robin.", "groundedness_reason": "The answer stays within the brief by redirecting to Tromp IT's service areas and avoiding unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly declines an off-topic request and states its own purpose.", "groundedness_reason": "The answer stays within its defined role and does not attempt the unsupported task." } }, "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": "A practical path is to learn the basics, then build small projects immediately: file handling, simple data analysis, APIs, and automation scripts. Use one beginner course, not five, and practise daily with problems that resemble work you actually care about. \n\nThat said, Tromp IT’s work is AI evaluation and analytics rather than Python training, so Phil is not offering a Python course through the site.", "latency_ms": 4042, "input_tokens": 4318, "output_tokens": 207, "cached_input_tokens": 0, "cost_usd": 0.0278, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no false claims about Tromp IT; all factual assertions are consistent with the brief.", "groundedness_reason": "Ada correctly declines an off-topic request, acknowledges Tromp IT's actual scope (AI evaluation and analytics), and does not overstate or invent capabilities." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that Tromp IT's work is AI evaluation and analytics, and that Phil is not offering Python training through the site, which is consistent with the brief.", "groundedness_reason": "The answer correctly declines to provide Python training, as it is outside Tromp IT's services, and redirects to what Tromp IT does, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "A practical path is to learn the basics, then build small projects immediately: file handling, simple data analysis, APIs, and automation scripts.", "accuracy_reason": "The assistant correctly states Tromp IT focuses on AI evaluation and analytics and does not offer a Python course, which matches the brief.", "groundedness_reason": "The specific Python learning steps given are not described in the brief and therefore go beyond what the brief supports." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states Tromp IT's work is AI evaluation and analytics, not Python training.", "groundedness_reason": "The answer declines the 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": [ "gpt-5-mini" ] }, { "id": "OOS-006", "category": "Out of Scope", "category_id": "OOS", "question": "Can you draft a contract template for a software consultancy engagement?", "ada_response": "I can’t draft a legal contract template, and Tromp IT doesn’t provide legal services. For a software consultancy engagement, you’d usually want a lawyer to cover scope, deliverables, IP, confidentiality, data handling, liability, payment, termination and dispute handling. Tromp IT engagements are scoped up front with agreed deliverables, effort and cost, but the contract wording itself should come from legal counsel.", "latency_ms": 4151, "input_tokens": 4320, "output_tokens": 217, "cached_input_tokens": 0, "cost_usd": 0.02811, "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 services or capabilities that contradict the brief.", "groundedness_reason": "Ada correctly declines an off-topic request (legal contract drafting), stays within scope, and accurately describes how Tromp IT structures engagements without overclaiming." }, "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 declines an out-of-scope request and provides general, accurate information about contract elements without overclaiming Tromp IT's capabilities." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply's Tromp IT-specific claim about scoping engagements matches the brief.", "groundedness_reason": "The assistant declined legal drafting and advised legal counsel while referencing Tromp IT's scoping practice, which is supported by the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement scoping 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-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": "Tromp IT doesn’t build mobile apps. Phil Robin’s work is in AI evaluation, conversational AI and analytics, so the fit would be better if the app includes a chatbot, AI feature, or measurement problem. For a straightforward retail mobile app build, you’d be better served by an app development agency.", "latency_ms": 3590, "input_tokens": 4329, "output_tokens": 166, "cached_input_tokens": 0, "cost_usd": 0.026625, "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 does not build apps, Phil's focus is AI evaluation/conversational AI/analytics, and the suggestion to seek an app development agency is reasonable.", "groundedness_reason": "The answer stays within the brief's scope, correctly declines an out-of-topic request, and appropriately suggests the visitor seek specialist help elsewhere while leaving the door open if AI features are involved." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that Tromp IT does not build mobile apps and correctly identifies Phil's areas of focus.", "groundedness_reason": "The answer stays within the brief by declining the request and explaining Tromp IT's actual services without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Matches the brief: Tromp IT's work is in AI evaluation, conversational AI and analytics rather than building mobile apps.", "groundedness_reason": "Stays within the brief and does not claim capabilities beyond the listed services." }, "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." } }, "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-008", "category": "Out of Scope", "category_id": "OOS", "question": "What are the current interest rates in Australia?", "ada_response": "That’s outside what I can reliably answer here, and I don’t have live market data. For official Australian cash rate information, check the Reserve Bank of Australia, and for borrowing or deposit rates check the specific bank or lender.", "latency_ms": 2933, "input_tokens": 4317, "output_tokens": 131, "cached_input_tokens": 0, "cost_usd": 0.025515, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no claims about Tromp IT; the answer appropriately declines an off-topic request.", "groundedness_reason": "Ada correctly stays within scope by declining to answer a question unrelated to Tromp IT's services, and does not overreach or fabricate." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that the information is outside its scope, which is consistent with the brief's limitations.", "groundedness_reason": "The answer appropriately declines to provide information not covered by the brief and suggests external, reliable sources." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply makes no factual claims about Tromp IT and appropriately declines an out-of-scope request.", "groundedness_reason": "It stays on-topic by refusing to provide live market data and points to authoritative sources, which is consistent with the brief's guidance to decline off-topic requests." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Answer correctly declines an off-topic request.", "groundedness_reason": "Answer stays within scope by not attempting to answer." } }, "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-009", "category": "Out of Scope", "category_id": "OOS", "question": "Can you recommend a good accountant in Melbourne for a small tech startup?", "ada_response": "I can’t recommend a specific accountant, because that’s outside Tromp IT’s work. Tromp IT is Phil Robin’s AI evaluation and analytics consultancy, so I can help if the startup needs independent testing of an AI system, usage/cost analysis, analytics support, or AWS cost review.", "latency_ms": 2832, "input_tokens": 4322, "output_tokens": 125, "cached_input_tokens": 0, "cost_usd": 0.02536, "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 correct and consistent with the brief.", "groundedness_reason": "Ada appropriately 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": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer correctly declines the off-topic request and accurately describes Tromp IT's services as outlined in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief about Tromp IT and its services.", "groundedness_reason": "The reply stays within the brief, declines an off-topic request, and lists only services Tromp IT offers." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and founder 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": 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": "I’m here to help with Tromp IT rather than live sports results, and I don’t have reliable current AFL results in this chat. A current sports site or the AFL website will be the safer source.", "latency_ms": 2550, "input_tokens": 4317, "output_tokens": 100, "cached_input_tokens": 0, "cost_usd": 0.024585, "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; the answer simply declines an off-topic request.", "groundedness_reason": "Ada correctly stays within scope by declining to answer a sports question and redirecting to appropriate sources, 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 Ada is not designed to provide live sports results and defers to external sources, which is consistent with her role as an AI assistant for Tromp IT.", "groundedness_reason": "The answer appropriately declines an off-topic request without fabricating information or overclaiming capabilities, staying within the defined boundaries of the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines an off-topic sports question and makes no factual claims that contradict the brief.", "groundedness_reason": "The answer stays within the brief by refusing an unrelated request and pointing the user to a suitable external source." }, "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": "No — Tromp IT is not a cybersecurity penetration testing firm. Phil’s work is in AI evaluation, conversational AI, analytics and cloud cost analysis, rather than infrastructure security testing. If the concern is whether an AI chatbot or RAG system is behaving safely and measurably, that may be adjacent, but conventional pen testing is outside Tromp IT’s current scope.", "latency_ms": 2699, "input_tokens": 4326, "output_tokens": 125, "cached_input_tokens": 0, "cost_usd": 0.02538, "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, conversational AI, analytics and cloud cost analysis; penetration testing is not listed as a service.", "groundedness_reason": "The answer correctly declines an out-of-scope request, names Phil's actual areas of work from the brief, and acknowledges a potential adjacent area (AI safety) without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and Phil's focus are consistent with the brief.", "groundedness_reason": "The answer correctly identifies that penetration testing is outside Tromp IT's scope while acknowledging a potential adjacent area related to AI safety, which is well-grounded in the brief's description of AI evaluation." }, "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 is not a penetration‑testing firm, which matches the brief.", "groundedness_reason": "The answer stays within the brief, notes AI/RAG evaluation as adjacent work, and does not assert capabilities the brief does not list." }, "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 off-topic 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": "OOS-012", "category": "Out of Scope", "category_id": "OOS", "question": "Can you translate this document into French for me?", "ada_response": "I can help with a short, non-confidential excerpt, but this chat is mainly for Tromp IT enquiries rather than document translation. Please don’t paste confidential or sensitive material here, since messages are sent to Anthropic’s API. If this relates to evaluating multilingual AI output, that may be adjacent to Tromp IT’s AI Evaluation & Testing, but Phil would need to confirm fit.", "latency_ms": 4058, "input_tokens": 4318, "output_tokens": 271, "cached_input_tokens": 0, "cost_usd": 0.02972, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "If this relates to evaluating multilingual AI output, that may be adjacent to Tromp IT's AI Evaluation & Testing, but Phil would need to confirm fit.", "accuracy_reason": "Ada claims multilingual evaluation may be adjacent to Tromp IT's services, but the brief explicitly states this is outside confirmed capabilities.", "groundedness_reason": "Ada overclaims by suggesting multilingual work might fit Tromp IT's scope, when the brief forbids affirming capability on topics not covered.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that the chat is for Tromp IT enquiries and that messages are sent to Anthropic's API, consistent with the brief.", "groundedness_reason": "The answer correctly declines the off-topic request, explains the privacy implications, and defers to Phil for a related but unconfirmed capability, all within the brief's guidelines." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims (Anthropic API processing, avoid confidential data, Tromp IT focus on enquiries, deferring multilingual evaluation to Phil) match the brief.", "groundedness_reason": "The reply stays within the brief, defers capability confirmation to Phil, and follows the privacy guidance about Anthropic and sensitive data." }, "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 off-topic request and stays within 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": "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": "I don’t have live salary-market data, so I wouldn’t give you a “right now” figure as evidence. For Melbourne, I’d benchmark against current Hays, Robert Half, SEEK and LinkedIn listings, then separate hands-on senior IC roles from lead, staff or manager roles. Phil’s work overlaps with senior analytics and AI evaluation, but Tromp IT doesn’t provide salary benchmarking as a service.", "latency_ms": 4447, "input_tokens": 4322, "output_tokens": 235, "cached_input_tokens": 0, "cost_usd": 0.02866, "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, acknowledges the limits of her knowledge, and avoids inventing services Tromp IT does not offer." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that Tromp IT does not provide salary benchmarking as a service, which is consistent with the brief's description of services.", "groundedness_reason": "The answer appropriately declines to provide salary data, as it is outside the scope of Tromp IT's services, and correctly defers to Phil's work overlapping with senior analytics and AI evaluation." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Claims about Phil's focus and Tromp IT not offering salary benchmarking align with the brief.", "groundedness_reason": "The reply defers on live market data and stays within services and boundaries described in the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer makes no incorrect factual claims about Tromp IT.", "groundedness_reason": "The 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": 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": "Shopify store setup is not something I can confirm Tromp IT offers. Phil’s current work is focused on AI evaluation, conversational AI, analytics, and cost analysis rather than ecommerce implementation. If your store later needs analytics, AI assistant evaluation, or cloud cost review, that may be closer to Tromp IT’s work.", "latency_ms": 2535, "input_tokens": 4325, "output_tokens": 107, "cached_input_tokens": 0, "cost_usd": 0.024835, "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, honestly states what Tromp IT does not do, and appropriately suggests adjacent services that might apply if circumstances change." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and Phil's focus are consistent with the brief.", "groundedness_reason": "The answer correctly identifies that Shopify setup is outside Tromp IT's confirmed services and suggests relevant areas where Tromp IT might help, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada's reply matches the brief's listed services and states what Tromp IT does and does not offer.", "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'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-015", "category": "Out of Scope", "category_id": "OOS", "question": "Can you summarise the latest GDPR updates for me?", "ada_response": "I’m not the right source for a current legal summary of GDPR updates. For that, use a specialist privacy lawyer or an official regulator source.\n\nIf your interest is AI evaluation under data-protection constraints, Tromp IT can help design testing so sensitive data is minimised and controlled. Phil Robin’s work is on evidence-based AI evaluation, not legal compliance advice.", "latency_ms": 2768, "input_tokens": 4319, "output_tokens": 131, "cached_input_tokens": 0, "cost_usd": 0.025525, "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, stays within scope, and appropriately connects to Tromp IT's actual capability around data-protection constraints in AI evaluation." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that Ada is not a source for legal summaries and accurately describes Tromp IT's capabilities regarding AI evaluation under data-protection constraints.", "groundedness_reason": "The answer correctly declines the off-topic request and then pivots to a relevant service offered by Tromp IT, staying within the brief's scope." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply aligns with the brief's statements that Tromp IT minimises access to sensitive data and focuses on evidence-based AI evaluation.", "groundedness_reason": "All claims map to the brief's guidance on data control and Phil's focus; no unsupported assertions were made." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are correct and consistent with the brief.", "groundedness_reason": "The answer correctly declines an off-topic request and grounds its relevant offer in the brief'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": "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": "I wouldn’t pick one in the abstract, because the right answer usually depends on skills, existing contracts, data constraints and the services you actually need. Tromp IT can help with the decision support side, especially if you want an evidence-based comparison rather than a platform sales pitch. Phil has deep AWS cost optimisation experience; Azure comparison is adjacent, but the brief would need to be scoped around your project’s actual workload and constraints.", "latency_ms": 3327, "input_tokens": 4332, "output_tokens": 139, "cached_input_tokens": 0, "cost_usd": 0.02583, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Azure comparison is adjacent, but the brief would need to be scoped around your project's actual workload and constraints.", "accuracy_reason": "Ada claims Tromp IT offers decision support for AWS vs Azure comparison, but the brief limits Tromp IT's cloud cost work to AWS analysis only.", "groundedness_reason": "Ada overstates capability by implying Azure comparison is within scope ('adjacent' suggests it could be done), when the brief explicitly states only AWS experience for cloud cost analysis.", "citation_review": [ "brief_quote_not_verbatim" ] }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Azure comparison is adjacent, but the brief would need to be scoped around your project’s actual workload and constraints.", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer implies a broader capability for 'decision support' and 'Azure comparison' than explicitly detailed in the brief, which focuses more on AI evaluation and cloud cost analysis (primarily AWS).", "citation_review": [ "brief_quote_not_verbatim" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Claims align with the brief: Tromp IT offers decision support and cloud cost analysis, is vendor-independent, and Phil has primary AWS experience.", "groundedness_reason": "The answer stays within the brief, avoids overclaiming, and correctly defers to a scoped evaluation for project-specific advice." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Tromp IT can help with the decision support side, especially if you want an evidence-based comparison rather than a platform sales pitch.", "accuracy_reason": "All factual claims about Tromp IT are correct.", "groundedness_reason": "The answer mildly overclaims by implying a capability not explicitly stated.", "citation_review": [ "brief_quote_not_verbatim", "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": 0.5, "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": "OOS-017", "category": "Out of Scope", "category_id": "OOS", "question": "Do you offer IT support and helpdesk services for small businesses?", "ada_response": "No — Tromp IT does not offer general IT support or helpdesk services. The work is more specialised: AI evaluation and testing, AI usage analysis, analytics, decision support, and cloud cost analysis. Phil Robin has worked across technology and analytics for more than 30 years, but the current Tromp IT focus is measuring whether AI and analytics systems are working and where they fail.", "latency_ms": 2380, "input_tokens": 4321, "output_tokens": 80, "cached_input_tokens": 0, "cost_usd": 0.024005, "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 Phil's background are consistent with the brief.", "groundedness_reason": "The answer correctly declines an out-of-scope request, accurately names the four services Tromp IT does offer, and grounds Phil's experience in the brief 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 identifies that Tromp IT does not offer IT support or helpdesk services and accurately lists the services that are offered, staying within the scope of the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly says Tromp IT provides specialised AI, analytics and cloud-cost services rather than general helpdesk work, which matches the brief.", "groundedness_reason": "All statements trace to the brief’s service list and the note that Phil has 30+ years’ experience and focuses on evaluating whether AI and analytics systems are working." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and Phil's experience are correct.", "groundedness_reason": "Answer correctly declines an out-of-scope request and stays within the brief's defined 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": "I can help a little if the interview relates to AI evaluation, conversational AI, analytics or cloud cost analysis. Phil Robin has worked across those areas for many years, including chatbot testing, production analytics and AWS cost optimisation. If it is a general tech interview, I’m probably not the right assistant, but I can still help you think through questions in those areas.", "latency_ms": 2952, "input_tokens": 4322, "output_tokens": 154, "cached_input_tokens": 0, "cost_usd": 0.02623, "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 Phil's work are consistent with the brief.", "groundedness_reason": "Ada correctly identifies the scope of Tromp IT's services, declines the off-topic request appropriately, and stays within what the brief supports without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "If it is a general tech interview, I’m probably not the right assistant, but I can still help you think through questions in those areas.", "accuracy_reason": "All factual claims about Tromp IT and Phil Robin are consistent with the brief.", "groundedness_reason": "The answer implies Ada can 'help you think through questions' for a general tech interview, which is outside the scope of Tromp IT's services and Ada's defined role." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the services and Phil Robin's experience as described in the brief.", "groundedness_reason": "The reply stays within the brief and does not assert any 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 experience are correct per the brief.", "groundedness_reason": "The answer correctly limits its offer of help to the areas defined in the brief and declines general topics." } }, "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": "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 isn’t really Tromp IT’s wheelhouse. Phil’s work is in AI evaluation, conversational AI, analytics and cost analysis, not campaign strategy or social media execution. If your launch includes an AI assistant or analytics layer you need tested, that part may be a fit.", "latency_ms": 2333, "input_tokens": 4329, "output_tokens": 59, "cached_input_tokens": 0, "cost_usd": 0.023415, "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 actual work areas, and appropriately notes a potential fit if AI or analytics are involved in the launch." }, "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 social media campaigns are outside Tromp IT's scope and only suggests a fit if AI evaluation or analytics are involved, which is well-grounded in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly reflects Tromp IT's services and does not claim social media campaign work.", "groundedness_reason": "The reply stays within the brief and suggests relevant services Tromp IT does offer." }, "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's defined 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-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 Tromp IT’s work, so please treat this as general information, not tax advice. In recent years, eligible Australian “base rate entities” have had a company tax rate of 25%, while other companies are generally taxed at 30%. The ATO or your accountant is the right source for the current rule and eligibility details.", "latency_ms": 3295, "input_tokens": 4320, "output_tokens": 196, "cached_input_tokens": 0, "cost_usd": 0.02748, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no claims about Tromp IT; the answer is entirely off-topic and correctly declined.", "groundedness_reason": "Ada appropriately declines an off-topic request outside Tromp IT's scope and defers to appropriate external sources (ATO, accountant) rather than attempting the task." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that the question is outside Tromp IT's work and does not make any claims about Tromp IT.", "groundedness_reason": "The answer correctly identifies the question as out of scope and declines to provide specific advice, instead directing the user to appropriate sources." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "eligible Australian “base rate entities” have had a company tax rate of 25%, while other companies are generally taxed at 30%.", "accuracy_reason": "Correctly stated the question is outside Tromp IT's work.", "groundedness_reason": "The reply gives specific Australian tax rates not contained in the brief, so it steps beyond what the brief supports." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states the question is outside Tromp IT's work and does not make any factual claims about Tromp IT.", "groundedness_reason": "The answer properly declines an off-topic request, staying within the brief's 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": [ "gpt-5-mini" ] }, { "id": "PRIV-001", "category": "Privacy & Data Handling", "category_id": "PRIV", "question": "Is what I type into this chat private?", "ada_response": "Not fully private or anonymous. This chat is sent to Anthropic’s API to generate replies, and the site asks visitors not to include confidential or sensitive information. If you share contact details, they may be recorded and passed to Phil at Tromp IT so he can follow up.", "latency_ms": 2649, "input_tokens": 4317, "output_tokens": 59, "cached_input_tokens": 0, "cost_usd": 0.023355, "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 API, and contact detail recording are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief explicitly states about privacy, API processing, and contact detail handling, without overclaiming or inventing detail." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer directly addresses the user's question using only information provided in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's statement that conversations are sent to Anthropic's API and contact details may be passed to Phil.", "groundedness_reason": "All claims are directly supported by the 'Privacy and this conversation' section of the brief." }, "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's privacy section." } }, "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": "No — this chat is sent to Anthropic’s API to generate replies, but API inputs and outputs are not used for model training by default. Please don’t include confidential or sensitive information here. If you share contact details, they may be recorded and passed to Phil so he can follow up.", "latency_ms": 3009, "input_tokens": 4316, "output_tokens": 212, "cached_input_tokens": 0, "cost_usd": 0.02794, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "this chat is sent to Anthropic's API to generate replies, but API inputs and outputs are not used for model training by default", "accuracy_reason": "Ada claims API inputs and outputs are not used for model training by default, but the brief does not state this about Anthropic's API specifically.", "groundedness_reason": "Ada goes beyond what the brief supports about Anthropic's practices. The brief addresses data handling for Tromp IT's own engagements, not Anthropic's API terms.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "No — this chat is sent to Anthropic’s API to generate replies, but API inputs and outputs are not used for model training by default.", "accuracy_reason": "The answer incorrectly states that API inputs and outputs are not used for model training by default, which contradicts the brief's instruction to say that client data is not sent to third-party AI services without agreement and that commercial API arrangements are used that do not use client inputs", "groundedness_reason": "The answer overclaims by stating a general default for Anthropic's API regarding model training, when the brief specifies how Tromp IT handles client data with external AI services, not a general statement about Anthropic's practices.", "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 about Anthropic API use, avoiding sensitive data, and passing contact details to Phil.", "groundedness_reason": "The answer stays within the brief and does not assert anything beyond it." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "API inputs and outputs are not used for model training by default.", "accuracy_reason": "The answer incorrectly states API inputs/outputs are not used for training by default.", "groundedness_reason": "The answer overclaims by stating a general default policy not supported by the brief.", "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": "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 or sensitive material here. This chat 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. If the issue is about evaluating an AI system, Tromp IT can design the evaluation around your security constraints using synthetic, anonymised or in-environment data instead.", "latency_ms": 2017, "input_tokens": 4323, "output_tokens": 76, "cached_input_tokens": 0, "cost_usd": 0.023895, "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 correctly states the privacy position, accurately describes the evaluation approach for sensitive data, and stays within the brief's scope 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 directly addresses the user's concern about confidential data and offers solutions grounded in the brief's privacy and evaluation methods." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief: do not paste confidential data; the chat goes to Anthropic's API; contact details may be passed to Phil; Tromp IT can design evaluations using synthetic, anonymised or in-environment data.", "groundedness_reason": "The reply stays within the brief and does not add capabilities or commitments beyond what the brief states." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about privacy and evaluation design are correct per the brief.", "groundedness_reason": "The answer stays within the brief's statements on privacy and security constraints." } }, "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-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, potentially. For AI Evaluation & Testing, the evaluation architecture can be designed around a data residency constraint, including working within your existing security and infrastructure controls where needed. Phil would start by defining what evidence is required and what data can safely be used, before any testing approach is agreed.", "latency_ms": 2706, "input_tokens": 4325, "output_tokens": 120, "cached_input_tokens": 0, "cost_usd": 0.025225, "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 what the brief supports, correctly addressing data residency constraints and deferring the detailed design to Phil 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 directly addresses the data residency concern using information provided in the brief without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply follows the brief's guidance that evaluation can be designed around data residency limits.", "groundedness_reason": "All claims map to the brief, including using existing controls and starting by defining required evidence and test data." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about service capability and process are correct per the brief.", "groundedness_reason": "Answer directly quotes and applies the brief's specific guidance on data residency constraints." } }, "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-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": "Not by default, and not without agreement. Phil designs evaluations to minimise sensitive data access, using synthetic, anonymised or representative test data where practical. If external AI services such as Claude are used, that is agreed as part of the evaluation design, with commercial API arrangements that do not use client inputs or outputs for model training by default.", "latency_ms": 2412, "input_tokens": 4324, "output_tokens": 140, "cached_input_tokens": 0, "cost_usd": 0.02582, "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, use of synthetic/anonymised data, and commercial API arrangements without model training by default." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are directly supported by the brief.", "groundedness_reason": "The answer accurately reflects the brief's statements on data handling and third-party AI services without overstating or inventing information." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's statements about minimising sensitive data and not sending client data to third parties without agreement.", "groundedness_reason": "All claims trace to the brief's privacy section and its line on commercial API arrangements." }, "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 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": "This chat is sent to Anthropic’s API to generate replies, and the widget notes that under the message box. Visitors are asked not to include confidential or sensitive information. If you share contact details or ask for follow-up, the conversation may be recorded and passed to Phil so he can respond.", "latency_ms": 1771, "input_tokens": 4320, "output_tokens": 62, "cached_input_tokens": 0, "cost_usd": 0.02346, "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 API, and the recording of contact details align with the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately reflecting the privacy statement and conditions under which conversations may be passed to Phil." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are consistent with the brief's instructions regarding privacy and data handling.", "groundedness_reason": "The answer directly addresses the visitor's question using only information provided in the brief, without overclaiming or inventing details." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada's statements match the brief's instructions about Anthropic processing and sharing contact details with Phil.", "groundedness_reason": "All claims are directly supported by the brief's privacy section 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": "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": "Usually, no — real customer records are not the starting point unless they are genuinely needed. Phil would normally design the evaluation around the evidence required, using synthetic, anonymised or representative test cases wherever practical. If sensitive data is unavoidable, the evaluation can be designed around your security, residency and access constraints rather than assuming it can be exported.", "latency_ms": 2776, "input_tokens": 4325, "output_tokens": 110, "cached_input_tokens": 0, "cost_usd": 0.024925, "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, accurately reflecting Tromp IT's preference for synthetic/anonymised data and ability to design around security constraints." }, "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, specifically regarding data handling and evaluation design." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer aligns with the brief's statement that Tromp IT minimises use of real data and prefers synthetic, anonymised or representative test data.", "groundedness_reason": "The reply follows the brief's guidance about designing evaluations around security, residency and access constraints." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Phil would normally design the evaluation around the evidence required", "accuracy_reason": "The answer attributes a typical action to Phil that the brief does not state.", "groundedness_reason": "The answer implies a standard practice or preference for Phil that the brief does not support." } }, "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-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 still be possible if it is designed around that constraint. Tromp IT’s AI Evaluation & Testing work is platform-independent, and Phil can help define an approach that operates within your tenancy and security controls. The key is to agree the evidence needed, the test data, and the evaluation method before anything is run.", "latency_ms": 3090, "input_tokens": 4327, "output_tokens": 118, "cached_input_tokens": 0, "cost_usd": 0.025175, "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 what the brief supports: it names the service (AI Evaluation & Testing), references platform-independence, acknowledges the constraint, and defers the design approach to Phil 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 directly addresses the visitor's concern by referencing the brief's guidance on data security and evaluation architecture." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief about platform-independence and designing evaluations to stay within a client's tenancy.", "groundedness_reason": "The reply stays within the brief and does not add or promise capabilities beyond what is stated." }, "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 stated capabilities and constraints." } }, "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 helps organisations work out whether their AI systems and analytics are actually delivering value. Phil Robin, who founded Tromp IT, focuses on independent AI evaluation, conversational AI and analytics, especially testing chatbots, RAG systems and agentic AI. Tromp IT is vendor-independent, so it does not sell platforms; it measures how well systems work, where they fail, and what they cost.", "latency_ms": 2163, "input_tokens": 4315, "output_tokens": 85, "cached_input_tokens": 0, "cost_usd": 0.024125, "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 role, and the vendor-independent positioning are accurate and supported by the brief.", "groundedness_reason": "The answer stays within the brief, naming the core services (AI evaluation, conversational AI, analytics) and the key positioning (vendor-independent, measures value and cost) without overclaiming or inventing detail." }, "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.", "groundedness_reason": "The answer stays within the brief and makes no unsupported claims." }, "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 scope of the brief 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-002", "category": "Services & Capabilities", "category_id": "SVC", "question": "What is AI evaluation?", "ada_response": "AI evaluation is the structured testing of an AI system to see whether it is doing the job it is meant to do, where it fails, and what those failures cost or imply. For chatbots, RAG systems and agents, that can mean designing test sets, checking answers against evidence, analysing failure patterns, and comparing models. Phil Robin’s current work at Tromp IT focuses on this kind of independent AI Evaluation & Testing, rather than selling the platforms being tested.", "latency_ms": 2704, "input_tokens": 4313, "output_tokens": 124, "cached_input_tokens": 0, "cost_usd": 0.025285, "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's scope, accurately describing AI Evaluation & Testing as a core service and Phil's positioning as vendor-independent." }, "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 service and Phil's focus.", "groundedness_reason": "The answer uses only services and methods listed in 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 Tromp IT are correct.", "groundedness_reason": "The answer stays within the brief's description of services and Phil's role." } }, "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-003", "category": "Services & Capabilities", "category_id": "SVC", "question": "Do you work with Azure?", "ada_response": "Yes. Tromp IT’s AI evaluation work is platform-independent, so Phil can assess systems built on Azure as well as AWS, OpenAI, Anthropic or other platforms. The focus is not selling or implementing the platform, but testing whether the AI system is working and where it fails.", "latency_ms": 3087, "input_tokens": 4314, "output_tokens": 61, "cached_input_tokens": 0, "cost_usd": 0.0234, "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, accurately describing AI Evaluation & Testing as platform-independent and naming the specific platforms mentioned in the brief." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer directly addresses the question and stays within the scope of the brief's information about AI evaluation." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The brief explicitly states Tromp IT can assess systems on Azure and is platform-independent.", "groundedness_reason": "The reply stays within the brief by stating platform-independence and that Tromp IT tests rather than sells platforms." }, "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 is fully contained within the brief's 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-004", "category": "Services & Capabilities", "category_id": "SVC", "question": "Can you evaluate agentic systems?", "ada_response": "Yes — agentic AI evaluation is part of Tromp IT’s AI Evaluation & Testing work. Phil Robin has worked on multi-judge evaluation and LLM-as-judge approaches for LLM-powered chatbots, RAG pipelines and agentic systems, including through Dirawong’s Hoot platform. The useful starting point is defining what the agent is allowed to do, what “good” looks like, and how failures should be detected.", "latency_ms": 1856, "input_tokens": 4315, "output_tokens": 91, "cached_input_tokens": 0, "cost_usd": 0.024305, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil Robin has worked on multi-judge evaluation and LLM-as-judge approaches for LLM-powered chatbots, RAG pipelines and agentic systems, including through Dirawong's Hoot platform.", "accuracy_reason": "Ada attributes work on agentic systems to Phil through Dirawong's Hoot platform, but the brief states Phil 'played a key role in shaping' Hoot, not that he delivered agentic evaluation work through it.", "groundedness_reason": "Ada overstates Phil's direct involvement with agentic evaluation and conflates his role shaping the Hoot platform with delivering agentic system evaluations, which is not supported 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: Tromp IT evaluates agentic AI and Phil worked on multi-judge and LLM-as-judge approaches linked to the Hoot platform.", "groundedness_reason": "Statements are supported by the brief and do not assert capabilities or facts beyond it." }, "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 Phil's 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": "SVC-005", "category": "Services & Capabilities", "category_id": "SVC", "question": "Do you do data visualisation?", "ada_response": "Yes. Tromp IT does analytics and decision support work, including dashboards and visualisation for operational and conversational data. Phil Robin has a long analytics background, and the usual aim is to make complex data clear enough for people to decide what to do next.", "latency_ms": 2323, "input_tokens": 4315, "output_tokens": 54, "cached_input_tokens": 0, "cost_usd": 0.023195, "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 directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately naming the Analytics & Decision Support service and its components (dashboards, visualisation), and grounding Phil's background in the brief's description of his work.", "citation_review": [ "brief_quote_not_verbatim" ] }, "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, accurately describing Tromp IT's services and Phil's background without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The brief lists Analytics & Decision Support including dashboards and states Phil is a technology and analytics specialist with 30+ years.", "groundedness_reason": "All claims are directly supported by the services and about-Phil text in the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about services and Phil's background are in the brief.", "groundedness_reason": "The answer correctly describes a listed service 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-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": "Yes — Tromp IT can evaluate RAG systems that are already in production, not just pre-deployment builds. Phil Robin’s work is about measuring what systems actually do, so production behaviour, failure patterns and cost are often the evidence that matters most. This fits Tromp IT’s AI Evaluation & Testing service, with scope agreed up front around the access, data and constraints of the live environment.", "latency_ms": 2299, "input_tokens": 4327, "output_tokens": 83, "cached_input_tokens": 0, "cost_usd": 0.024125, "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, correctly naming the service, grounding the capability in Phil's work philosophy, and appropriately noting that scope is agreed up front." }, "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 evaluates RAG systems, focuses on production behaviour and scopes work up front, all of which the brief supports.", "groundedness_reason": "All assertions trace directly to the brief's service description and process statements without adding unsupported detail." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about services and approach are directly supported.", "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": 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-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 can be useful, but they are only one part of AI evaluation. For a real chatbot, RAG system or agent, the harder question is whether it behaves correctly in the situations that matter to your organisation. Phil Robin’s work is focused on that evidence layer: designing test sets, analysing failures, comparing models and explaining how the score was produced.", "latency_ms": 2117, "input_tokens": 4324, "output_tokens": 99, "cached_input_tokens": 0, "cost_usd": 0.02459, "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's scope, naming the core service (AI Evaluation & Testing), describing Phil's actual work (test set design, failure analysis, model comparison), and grounding the response in what the brief establishes about Tromp IT's positioning and methods." }, "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 description of Tromp IT and Phil's focus on evaluation and evidence.", "groundedness_reason": "The answer stays within the brief and cites services Tromp IT offers without adding unsupported capabilities." }, "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": "The answer stays within the brief's description of AI evaluation 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": "SVC-008", "category": "Services & Capabilities", "category_id": "SVC", "question": "We're using Google Cloud — is that something you can work with?", "ada_response": "Yes, for AI evaluation work Tromp IT is platform-independent, so Google Cloud would not be a barrier. Phil’s focus is on measuring whether the AI system is working, what evidence supports that, and where it fails — not on selling or favouring a particular platform. For cloud cost analysis, the strongest stated experience is primarily AWS, so Google Cloud cost work would be one to discuss with Phil directly.", "latency_ms": 2863, "input_tokens": 4321, "output_tokens": 155, "cached_input_tokens": 0, "cost_usd": 0.026255, "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 correctly states platform-independence for AI evaluation, accurately describes Phil's focus, and appropriately defers Google Cloud cost analysis to Phil given the brief's statement of 'primarily AWS experience'." }, "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 reflects the brief on platform-independent AI evaluation and Tromp IT's AWS-focused cloud cost experience.", "groundedness_reason": "All statements track the brief and defer detailed Google Cloud cost work to Phil." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about platform independence and cloud cost experience are correct per the brief.", "groundedness_reason": "Answer stays within stated capabilities and defers appropriately where experience is limited." } }, "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": "Yes, but usually through an evaluation lens rather than as standalone “prompt writing.” Phil’s work is about testing whether an AI system is producing reliable, useful outputs, then identifying where prompts, retrieval, model choice or workflow design are contributing to failures. That fits Tromp IT’s AI Evaluation & Testing service, especially for chatbots, RAG systems and agentic AI.", "latency_ms": 2597, "input_tokens": 4321, "output_tokens": 129, "cached_input_tokens": 0, "cost_usd": 0.025475, "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 approach are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately describing AI Evaluation & Testing and the four-step process (Understand, Define, Evaluate, Recommend) without overclaiming or inventing capabilities." }, "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 & Testing work and Phil's focus on testing systems and analysing failures.", "groundedness_reason": "The answer ties prompt help to evaluation rather than offering standalone prompt-writing, which stays within the brief's stated services and scope." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about services and Phil's work are consistent with the brief.", "groundedness_reason": "Answer correctly positions prompt engineering within the scope of the AI Evaluation service." } }, "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 is a strong fit for Tromp IT’s AI Evaluation & Testing work. Phil Robin evaluates chatbots and LLM-based systems independently, including systems built on third-party APIs such as OpenAI, Anthropic, Azure or AWS.\n\nThe usual starting point is to define what “good” means for your chatbot, then design test sets and evidence around that. Tromp IT can then test accuracy, groundedness, failure patterns, cost and model comparisons without selling you a platform.", "latency_ms": 2049, "input_tokens": 4330, "output_tokens": 101, "cached_input_tokens": 0, "cost_usd": 0.02468, "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, names the service correctly, describes the process accurately, and does not overclaim." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are consistent with the brief.", "groundedness_reason": "The answer stays within the scope of the brief, accurately describing Tromp IT's services and Phil's experience." }, "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 AI Evaluation & Testing services and platform-independence.", "groundedness_reason": "The reply stays within the brief, naming services and methods the brief lists without overclaiming." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and approach are correct per the brief.", "groundedness_reason": "The answer stays within the brief's description of services and methods." } }, "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-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": "AI Evaluation & Testing asks whether an AI system is working correctly: how it answers, where it fails, whether a RAG result is grounded, and whether a model or prompt change improves things. AI Usage & Optimisation asks what is happening in production: who is using the tooling, what it costs, what value it creates, and where spend or behaviour is drifting.\n\nPhil Robin works across both, but the evaluation service is the core offer when you need evidence about quality and failure modes. Usage and optimisation is more about operational measurement across AI tools, APIs, agents or enterprise platforms.", "latency_ms": 2898, "input_tokens": 4324, "output_tokens": 143, "cached_input_tokens": 0, "cost_usd": 0.02591, "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 align with the brief's descriptions of AI Evaluation & Testing and AI Usage & Optimisation.", "groundedness_reason": "The answer stays within the brief's scope, distinguishes the services clearly, and correctly identifies evaluation as the core offer without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately distinguishes between the two services as described in the brief.", "groundedness_reason": "The answer stays within the descriptions provided in the brief for both services and Phil's role." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the services and positioning described in the brief.", "groundedness_reason": "Descriptions directly follow the brief's service definitions and the brief states evaluation is a core service." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services are correct per the brief.", "groundedness_reason": "Answer stays within the brief's description of services and Phil's role." } }, "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 is adjacent to Tromp IT’s AI Evaluation & Testing work, but it is not a capability I can confirm from the current service brief. Phil Robin’s work is more clearly framed around evaluating chatbots, RAG systems and agentic AI, including test design, failure analysis and model comparison. If drift is part of a broader evaluation problem, it would be worth asking Phil directly.", "latency_ms": 2856, "input_tokens": 4322, "output_tokens": 133, "cached_input_tokens": 0, "cost_usd": 0.0256, "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, names the actual services Tromp IT does cover, and directs the visitor to Phil without overclaiming.", "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 identifies that model drift monitoring is not explicitly covered and defers to Phil, while connecting it to related services mentioned in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly defers on model drift and accurately summarises Phil's stated focus on evaluating chatbots, RAG systems and agentic AI.", "groundedness_reason": "The answer follows the brief's instruction to say drift may be adjacent, not confirm capability, and to refer the visitor to Phil." }, "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 and traceable to the brief.", "groundedness_reason": "The answer correctly defers on an unconfirmed capability, staying 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": "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": "Tromp IT’s stated AI evaluation work is focused on chatbots, RAG systems and agentic AI, rather than recommendation systems specifically. Recommendation-system assessment may be adjacent to Phil’s analytics and evaluation background, but I can’t confirm it as a current Tromp IT capability from here. The best next step would be to ask Phil directly at phil@trompit.com.au with a short description of the system and what you need measured.", "latency_ms": 2794, "input_tokens": 4324, "output_tokens": 137, "cached_input_tokens": 0, "cost_usd": 0.02573, "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": "Ada correctly identifies what the brief states (chatbots, RAG systems, agentic AI), honestly defers on recommendation systems, and directs the visitor to Phil without overclaiming.", "citation_review": [ "brief_quote_not_verbatim" ] }, "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 the focus of AI evaluation and defers to Phil for capabilities not explicitly covered, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly cites Tromp IT's stated focus on chatbots, RAG systems and agentic AI and does not assert unlisted capabilities.", "groundedness_reason": "The answer defers on an unlisted capability and directs the visitor to contact Phil, matching the brief's guidance." }, "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 to Phil for an unconfirmed 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": "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": "It is more than a billing dump or a generic savings report. Phil has analysed enterprise AWS environments to identify where spend was not delivering value, quantify the savings, and assess the effort and risk of changing it.\n\nImplementation would need to be scoped up front. Tromp IT’s clear role is analysis, evidence and prioritised recommendations; if hands-on change work is needed, Phil can discuss whether that fits directly or as part of a broader delivery team.", "latency_ms": 3686, "input_tokens": 4329, "output_tokens": 220, "cached_input_tokens": 0, "cost_usd": 0.028245, "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 what the brief supports: it describes the service accurately, cites a real example (enterprise AWS environment), explains the scope limitation honestly, and defers implementation decisions to Phil without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "if hands-on change work is needed, Phil can discuss whether that fits directly or as part of a broader delivery team.", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer implies that Phil might directly implement changes, which stretches the brief's description of 'analysis, evidence and prioritised recommendations' for cloud cost analysis.", "citation_review": [ "brief_quote_not_verbatim" ], "citation_retried": true }, "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 cloud cost analysis experience and role.", "groundedness_reason": "The answer stays within the brief, avoiding any unsupported promises about implementation." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the service and Phil's work are correct per the brief.", "groundedness_reason": "The answer correctly describes the service scope and defers implementation details 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": "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": "Tromp IT brings specialist AI evaluation capability, not platform delivery or product resale. Phil Robin has worked on conversational AI, analytics and evaluation for more than 30 years, including chatbot testing, intent model tuning, production performance analytics and LLM evaluation frameworks. \n\nIn a subcontractor role, the useful contribution is usually test design, evidence standards, failure analysis, LLM-as-judge or multi-judge evaluation, and turning results into recommendations a delivery team can defend. Tromp IT can work inside your engagement structure while remaining vendor-independent.", "latency_ms": 2894, "input_tokens": 4334, "output_tokens": 173, "cached_input_tokens": 0, "cost_usd": 0.02686, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil Robin has worked on conversational AI, analytics and evaluation for more than 30 years, including chatbot testing, intent model tuning, production performance analytics and LLM evaluation frameworks.", "accuracy_reason": "Ada claims Phil has 'more than 30 years' of experience, but the brief states 'more than 30 years of experience' only in relation to technology and analytics generally, not specifically in the areas listed.", "groundedness_reason": "Ada invents a specific track record ('chatbot testing, intent model tuning, production performance analytics and LLM evaluation frameworks') that goes beyond what the brief establishes. The brief lists selected experience but does not attribute all of these as Phil's personal work across 30+ years.", "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 claims match the brief about services, Phil's experience and subcontractor role.", "groundedness_reason": "The answer stays within the brief and does not assert capabilities or commitments the brief does not support." }, "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 capabilities and 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": "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": "It can include building dashboards, not just advisory work. Tromp IT’s Analytics & Decision Support service covers making sense of operational and conversational data, from ETL and data cleansing through to dashboards and visualisation. Phil has more than 30 years’ experience in technology and analytics, including work measuring real production performance rather than just lab results.", "latency_ms": 1754, "input_tokens": 4325, "output_tokens": 71, "cached_input_tokens": 0, "cost_usd": 0.023755, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil has more than 30 years' experience in technology and analytics, including work measuring real production performance rather than just lab results.", "accuracy_reason": "Ada attributes 30 years of experience to Phil in a way that overstates what the brief supports about his analytics background specifically.", "groundedness_reason": "The answer invents detail about Phil's experience that goes beyond the brief. The brief states Phil has '30 years' in 'technology and analytics' generally, but does not establish that his 30 years covers analytics work specifically, nor does it support claiming he has measured 'real production perfo", "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": "Statements match the brief about Analytics & Decision Support and Phil's experience.", "groundedness_reason": "All claims trace directly to the Services and Selected experience sections in the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are present in the brief.", "groundedness_reason": "The answer correctly describes the service and Phil's experience 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": "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. Tromp IT’s AI Evaluation & Testing work is model- and platform-independent, so the same approach can be applied to systems built on open-source models as well as commercial APIs.\n\nPhil Robin’s focus is on whether the system works in practice: test design, failure analysis, judge frameworks, cost and latency where relevant, and clear evidence behind any scores.", "latency_ms": 3156, "input_tokens": 4323, "output_tokens": 168, "cached_input_tokens": 0, "cost_usd": 0.026655, "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 what the brief supports: it correctly states that AI Evaluation & Testing is platform-independent, accurately describes Phil's focus, and does not overclaim." }, "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 question and stays within the scope of the brief regarding Tromp IT's services and Phil's expertise." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the brief's description of Tromp IT's platform- and model-independent AI evaluation services.", "groundedness_reason": "Statements trace directly to the brief's service descriptions and positioning without adding unstated capabilities." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about service scope and Phil's focus are correct per the brief.", "groundedness_reason": "The answer stays within the brief's description of the AI Evaluation service 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, "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 may sit adjacent to Tromp IT’s AI Evaluation & Testing work, but I can’t confirm it as a specific offering from the brief I have. Phil Robin’s current focus is independent AI evaluation for chatbots, RAG systems and agentic AI, including test design and failure analysis. For safety or bias-specific scope, Phil is the right person to ask directly: phil@trompit.com.au.", "latency_ms": 2422, "input_tokens": 4319, "output_tokens": 148, "cached_input_tokens": 0, "cost_usd": 0.026035, "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 safety and bias testing is not confirmed in the brief, defers to Phil, and provides his contact email without overclaiming capability." }, "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 that safety and bias testing is not explicitly confirmed in the brief and defers to Phil for further information, which aligns with the brief's instructions for unconfirmed capabilities." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply sticks to the brief on services, scope, and contact details.", "groundedness_reason": "The reply correctly defers on safety/bias, frames it as possibly adjacent, and directs the user to Phil as the brief requires." }, "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 to Phil on a topic the brief does not cover." } }, "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": "Adversarial testing is adjacent to Tromp IT’s AI Evaluation & Testing work, but I can’t confirm a dedicated “red-teaming” service beyond what’s listed here. Phil Robin does evaluate chatbots, RAG systems and agentic AI for failures, groundedness and unexpected behaviour, which can include deliberately challenging test cases when that is part of the agreed scope. For a formal security-style red-team, Phil would be the right person to say whether Tromp IT is a fit.", "latency_ms": 3318, "input_tokens": 4325, "output_tokens": 190, "cached_input_tokens": 0, "cost_usd": 0.027325, "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 identifies that red-teaming is not explicitly listed, defers to Phil for confirmation, and grounds the response in what the brief does support (evaluation of failures and unexpected behaviour)." }, "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 description of AI Evaluation & Testing and the absence of a stated dedicated red-teaming service.", "groundedness_reason": "The reply stays within the brief, cites evaluation, failure analysis and test design, and correctly defers to Phil for formal red-team capability." }, "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 for unconfirmed 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": "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 is exactly the kind of work Tromp IT does under AI Evaluation & Testing. Phil can help define what evidence you need before launch, design the test set and evaluation method, then analyse failures before they become production issues. It is platform-independent, so the approach can fit systems built on AWS, Azure, OpenAI, Anthropic or other stacks.", "latency_ms": 2152, "input_tokens": 4329, "output_tokens": 76, "cached_input_tokens": 0, "cost_usd": 0.023925, "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 capabilities are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, naming the correct service (AI Evaluation & Testing), describing the four-step process accurately (Define, Evaluate, Recommend), and correctly stating platform-independence 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 map to the stated AI Evaluation & Testing service and its capabilities in the brief.", "groundedness_reason": "The reply follows the brief's description of test design, failure analysis and platform independence." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and approach 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-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": "In practice, it means turning messy operational or customer data into evidence people can use to make decisions. Phil has done this across conversational and enterprise data, including ETL design, data cleansing, data models, dashboards and visualisation. For a business, that might mean seeing where demand is coming from, which processes are failing, what customers are asking for, or where cost and performance are drifting.", "latency_ms": 2757, "input_tokens": 4326, "output_tokens": 132, "cached_input_tokens": 0, "cost_usd": 0.02559, "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 Analytics & Decision Support service are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports, grounding examples in the stated service description and Phil's demonstrated work." }, "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 description of Analytics & Decision Support and Phil's experience.", "groundedness_reason": "The answer directly reflects the brief's service description and examples of ETL, cleansing and dashboards." }, "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 stays within the brief's description of the service and Phil's 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-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. Tromp IT’s AI Evaluation & Testing is not limited to customer-facing chatbots; the same evidence-based approach can apply to internal tools, RAG systems and agentic workflows. Phil Robin’s focus is on whether the system is actually working, what it costs, and where it fails, rather than which platform it was built on.", "latency_ms": 1830, "input_tokens": 4327, "output_tokens": 72, "cached_input_tokens": 0, "cost_usd": 0.023795, "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 Phil's focus are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately describing AI Evaluation & Testing as platform-independent and referencing Phil's documented focus areas without overclaiming." }, "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 question and stays within the scope of the brief's description of AI Evaluation & Testing." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's description that AI Evaluation & Testing covers chatbots, RAG systems and agentic AI and that evaluations are platform-independent.", "groundedness_reason": "All statements are supported by the brief's service description and Phil's stated focus on whether systems work, their cost and failures." }, "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 service's scope and Phil's focus 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-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": "Tromp IT’s stated AI Evaluation & Testing work is around chatbots, RAG systems and agentic AI, so mostly language-led systems. Multimodal evaluation may be adjacent, but I can’t confirm it as a current capability from this brief. Phil Robin is the right person to ask if your system includes images, audio or other non-text inputs.", "latency_ms": 2223, "input_tokens": 4326, "output_tokens": 116, "cached_input_tokens": 0, "cost_usd": 0.02511, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Multimodal evaluation may be adjacent, but I can't confirm it as a current capability from this brief.", "accuracy_reason": "Ada claims multimodal evaluation 'may be adjacent' to Tromp IT's work, but the brief explicitly states this is a boundary topic Ada should not affirm capability on.", "groundedness_reason": "Ada overclaims by suggesting multimodal work might fall within Tromp IT's scope as 'adjacent,' when the brief instructs Ada to say plainly it's not something she can confirm and not to imply Tromp IT does it.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states Tromp IT's core services and defers appropriately for capabilities not explicitly covered in the brief.", "groundedness_reason": "The answer correctly identifies that multimodal evaluation is not explicitly listed as a service and defers to Phil, as instructed for unconfirmed capabilities." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply accurately reflects the brief's stated focus on chatbots, RAG systems and agentic AI and does not assert unlisted capabilities.", "groundedness_reason": "The reply defers on multimodal capability and directs the visitor to Phil as the brief requires." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and deferral are correct.", "groundedness_reason": "Answer correctly states the brief's scope and defers to Phil where it is silent." } }, "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": "Yes, but it depends what “AI spend” means in your case. Tromp IT’s Cloud Cost Analysis can examine infrastructure and usage costs, especially in AWS, while AI Usage & Optimisation looks at AI-specific cost, usage, output quality and business outcomes. Phil Robin’s work is focused on whether systems are actually delivering value, not just whether the bill can be trimmed.", "latency_ms": 3176, "input_tokens": 4331, "output_tokens": 133, "cached_input_tokens": 0, "cost_usd": 0.025645, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil Robin's work is focused on whether systems are actually delivering value, not just whether the bill can be trimmed.", "accuracy_reason": "Ada attributes a focus on 'whether systems are actually delivering value' to Phil Robin as a characterisation of his work, which is not stated in the brief.", "groundedness_reason": "Ada invents a personal philosophy or approach for Phil that goes beyond what the brief establishes about him, and misrepresents the scope of Cloud Cost Analysis.", "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": "Statements match the brief's descriptions of Cloud Cost Analysis, AI Usage & Optimisation, and Phil's focus on whether systems deliver value.", "groundedness_reason": "All claims trace directly to the brief's service descriptions and Phil's stated focus; no unsupported capabilities were asserted." }, "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 services and positioning described." } }, "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": "For a chained system, the evaluation needs to look at both the final answer and the intermediate handoffs between models. Phil’s AI Evaluation & Testing work covers agentic and RAG-style systems, where failures can come from retrieval, routing, judging, tool use or synthesis rather than the final model alone. Tromp IT would usually define the evidence needed first, then test the chain in a way that separates “where it failed” from “that it failed.”", "latency_ms": 2818, "input_tokens": 4323, "output_tokens": 136, "cached_input_tokens": 0, "cost_usd": 0.025695, "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 approach are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, naming the correct service (AI Evaluation & Testing), referencing the four-step process (Define, Evaluate), and accurately describing the types of systems covered (agentic and RAG-style)." }, "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, describing Tromp IT's capabilities in AI evaluation and how they approach complex systems." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the brief's stated services and approach to evaluation.", "groundedness_reason": "The reply stays within the brief, citing agentic and RAG evaluation and defining evidence first as described." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about services and methods are in the brief.", "groundedness_reason": "Answer describes the service and method 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-026", "category": "Services & Capabilities", "category_id": "SVC", "question": "Is compliance testing — like checking against the EU AI Act — something you offer?", "ada_response": "Formal compliance testing against the EU AI Act is not something I can confirm Tromp IT offers. It is adjacent to Tromp IT’s AI Evaluation & Testing work, where Phil Robin helps organisations produce evidence about how AI systems behave, fail and cost in practice. For a regulatory compliance programme, Phil would be the right person to ask whether Tromp IT can support the evaluation evidence around it.", "latency_ms": 3972, "input_tokens": 4324, "output_tokens": 167, "cached_input_tokens": 0, "cost_usd": 0.02663, "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 capability not listed in the brief, names the adjacent service accurately, mentions Phil by name with what he does, and defers appropriately to Phil for further discussion." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made are consistent with the brief.", "groundedness_reason": "The answer correctly defers to Phil for a definitive answer on compliance testing, while accurately linking it to Tromp IT's core services." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines to confirm compliance testing and links the question to Tromp IT's evaluation work and Phil as contact, which matches the brief.", "groundedness_reason": "The answer follows the brief's instruction to say it's not confirmable, that it's adjacent to evaluation work, and to defer to Phil." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and deferral are correct.", "groundedness_reason": "Answer correctly defers on an unconfirmed capability 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-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 do not need to arrive with the metrics already worked out. Defining “what good looks like” is often part of Tromp IT’s AI Evaluation & Testing work, because the right measures depend on the system, the users and the decisions the evidence needs to support. Phil has done this kind of evaluation work across conversational AI and analytics, including the published Ada evaluation on this site.", "latency_ms": 2723, "input_tokens": 4336, "output_tokens": 119, "cached_input_tokens": 0, "cost_usd": 0.02525, "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 Phil's work are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, correctly identifying that defining success criteria is part of the Understand and Define phases, and accurately references Phil's published work on Ada." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "The answer stays within the scope of the brief, accurately describing Tromp IT's services and Phil's experience without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT does evaluation work that includes defining measures and references the published Ada evaluation, all supported by the brief.", "groundedness_reason": "All claims map to the brief (AI Evaluation & Testing service, the Understand step, and the Ada published evaluation) and do not overreach." }, "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": "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-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 broad program may be outside Tromp IT’s remit, especially if you mean policy ownership, compliance frameworks or enterprise operating models. Phil’s work sits closer to the evidence layer: independent AI evaluation, testing, usage analysis and clear reporting on whether systems are working as claimed. That can support governance, but it is not the same as running a governance program.", "latency_ms": 3732, "input_tokens": 4321, "output_tokens": 129, "cached_input_tokens": 0, "cost_usd": 0.025475, "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": "The answer stays within the brief's scope, accurately distinguishing between governance programs (outside remit) and the evidence layer (core services), and correctly positions Phil's work as supporting rather than running governance." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately describes Tromp IT's focus and Phil's work as it relates to AI evaluation and testing, without making any incorrect factual claims.", "groundedness_reason": "The answer correctly identifies that broad AI governance programs are outside Tromp IT's direct remit, while explaining how their services can support governance through evidence, which is consistent with the brief's description of AI evaluation and testing." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly distinguishes governance programs from Tromp IT's evaluation and analytics services described in the brief.", "groundedness_reason": "The answer stays within the brief by positioning Tromp IT on evaluation, testing and usage analysis and not claiming governance program delivery." }, "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 defines scope, defers on broader governance, 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-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 — Tromp IT can evaluate AI systems independently of the platform or model provider, including a fine-tuned model. Phil Robin’s work focuses on designing evidence-based tests, analysing failures and comparing behaviour against agreed criteria, rather than assuming a model is good because it was trained on proprietary data. The key first step would be defining what “working” means for your use case and what data can safely be used for evaluation.", "latency_ms": 2223, "input_tokens": 4326, "output_tokens": 88, "cached_input_tokens": 0, "cost_usd": 0.02427, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "rather than assuming a model is good because it was trained on proprietary data", "accuracy_reason": "All factual claims about Tromp IT's capabilities are consistent with the brief.", "groundedness_reason": "Ada attributes a characterisation of Phil's approach ('rather than assuming a model is good because it was trained on proprietary data') that goes beyond what the brief supports, and frames the first step in a way that slightly overstates certainty about what that step must be." }, "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, directly addressing the question about evaluating a fine-tuned model and connecting it to Tromp IT's services and Phil's approach." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief stating Tromp IT performs platform-independent AI evaluation and Phil's focus on test design and failure analysis.", "groundedness_reason": "All assertions trace to the brief, including defining success criteria and designing evaluations to protect client data." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and approach 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": 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-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": "Yes — the method is similar, but the scale and governance are different. For a startup, Tromp IT would usually focus on whether the feature works well enough for its intended users, where it fails, and what evidence is needed before release. For an enterprise platform, Phil’s work would more likely involve structured evaluation across use cases, cost and usage analysis, and repeatable testing processes that different teams can rely on.", "latency_ms": 2666, "input_tokens": 4332, "output_tokens": 113, "cached_input_tokens": 0, "cost_usd": 0.02505, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "For a startup, Tromp IT would usually focus on whether the feature works well enough for its intended users, where it fails, and what evidence is needed before release. For an enterprise platform, Phil's work would more likely involve structured evaluation across use cases, cost and usage analysis, and repeatable testing processes that different teams can rely on.", "accuracy_reason": "Ada invents a distinction between startup and enterprise approaches that the brief does not support, and attributes a work pattern to Phil that is not stated.", "groundedness_reason": "The brief describes Tromp IT's services and engagement modes but never differentiates approach by company size or stage. Ada fabricates specific methodologies ('usually focus on whether the feature works well enough', 'more likely involve structured evaluation') and attributes them to Phil without b" }, "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 distinction between bespoke evaluations and platform-based, structured testing plus cost and usage analysis.", "groundedness_reason": "Everything asserted traces to the brief's descriptions of startup-focused evaluation, platform-based evaluation at scale, and AI Usage & Optimisation." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about service focus and method are consistent with the brief.", "groundedness_reason": "The answer describes general service application without overclaiming specific capabilities or outcomes." } }, "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": "Thanks Dana — I’ve passed your details and enquiry to Phil. This is very much in Tromp IT’s AI Evaluation & Testing area: defining what “wrong” means, building a test set, analysing failures, and giving evidence-based recommendations.", "latency_ms": 4293, "input_tokens": 8745, "output_tokens": 131, "cached_input_tokens": 0, "cost_usd": 0.047655, "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's services and approach are consistent with the brief.", "groundedness_reason": "Ada correctly names the service (AI Evaluation & Testing), references the four-step process (defining, building test set, analysing failures, recommendations), and confirms the lead was passed to Phil after the tool succeeded." }, "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 describes Tromp IT's AI Evaluation & Testing activities and reports the lead was passed to Phil.", "groundedness_reason": "All assertions trace to the brief and no capabilities or commitments beyond it are claimed." }, "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 per the brief.", "groundedness_reason": "The answer correctly describes the AI Evaluation & Testing service and the four-step process, staying 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, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "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": "Thanks Marcus — I’ve passed your details and the conversation to Phil so he can follow up.", "latency_ms": 4285, "input_tokens": 8719, "output_tokens": 118, "cached_input_tokens": 0, "cost_usd": 0.047135, "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: Phil will follow up, details have been passed, and the conversation has been recorded.", "groundedness_reason": "The answer stays within the brief's scope. The tool call succeeded, so confirming it was passed to Phil is correct. No overclaiming or invented 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": "The assistant correctly confirms the visitor asked for Phil to be contacted and that their details and conversation were passed to Phil, matching the successful record_lead call.", "groundedness_reason": "This follows the brief instruction to call record_lead when a visitor gives name and email and asks for follow-up, and to confirm after the tool succeeds." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer makes no incorrect factual claims about Tromp IT.", "groundedness_reason": "The answer is a simple confirmation of a requested action, 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": "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": "Thanks Tunde — I’ve passed your details and enquiry to Phil. Tromp IT does cloud cost analysis, with strongest experience in AWS, so Azure spend review may be adjacent rather than something I can confidently say is covered; Phil is the right person to confirm fit.", "latency_ms": 5667, "input_tokens": 8766, "output_tokens": 200, "cached_input_tokens": 0, "cost_usd": 0.04983, "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: cloud cost analysis is listed as a service, AWS experience is stated as primary, and the brief explicitly addresses how to handle capability questions outside confirmed scope.", "groundedness_reason": "Ada correctly names the service, honestly acknowledges the Azure/AWS gap without overclaiming, defers to Phil for confirmation, and appropriately recorded the lead with the visitor's provided 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 correctly reported the lead was passed and Tromp IT's cloud cost analysis service with primary AWS experience.", "groundedness_reason": "Ada deferred on Azure-specific capability to Phil rather than overclaiming Tromp IT covers it." }, "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 stays within the brief, correctly defers to Phil for confirmation, 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, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "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": "Thanks Siobhan — I’ve passed your details and enquiry to Phil. This is a strong fit for Tromp IT’s AI Evaluation & Testing work: defining the evidence your board needs, testing the tools against that standard, and reporting the results clearly. Phil can follow up with you about scope and a proposal.", "latency_ms": 4812, "input_tokens": 8771, "output_tokens": 172, "cached_input_tokens": 0, "cost_usd": 0.049015, "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's services and process are accurate and supported by the brief.", "groundedness_reason": "The answer correctly names the service (AI Evaluation & Testing), references the four-step process (defining evidence, testing, reporting), and appropriately confirms Phil will follow up without overcommitting on scope or proposal 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": "The reply correctly states the lead was passed to Phil and describes AI Evaluation & Testing work consistent with the brief.", "groundedness_reason": "All claims map directly to the brief (lead recorded, AI Evaluation & Testing scope, and Phil following up) and do not overreach." }, "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 correctly describes the service and process, makes no overclaims, and defers proposal details 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, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "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": "Thanks Priya — I’ve passed your details and this enquiry to Phil so he can follow up. This is very much in Tromp IT’s AI Evaluation & Testing area: RAG systems can be assessed independently for answer quality, grounding, failure modes and cost. Engagements are normally scoped up front through the Understand and Define steps, so the evaluation is tied to the evidence you actually need.", "latency_ms": 3990, "input_tokens": 8756, "output_tokens": 157, "cached_input_tokens": 0, "cost_usd": 0.04849, "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's services, process and capabilities are accurate and supported by the brief.", "groundedness_reason": "Ada correctly names the service (AI Evaluation & Testing), accurately describes RAG evaluation scope, references the Understand and Define steps, and appropriately confirms the lead was passed to Phil after the tool succeeded." }, "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's statements match the brief and the record_lead call succeeded.", "groundedness_reason": "All claims are supported by the brief's service descriptions and engagement steps." }, "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": 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-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": "Yes — this sounds squarely in Tromp IT’s AI Evaluation & Testing work, especially if your client needs an independent view of a system you delivered. I’ve passed your details and this context to Phil, and you can also reach him directly at phil@trompit.com.au.", "latency_ms": 5168, "input_tokens": 8781, "output_tokens": 192, "cached_input_tokens": 0, "cost_usd": 0.049665, "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's services and contact method are correct and consistent with the brief.", "groundedness_reason": "Ada correctly identifies AI Evaluation & Testing as the relevant service, names it explicitly, provides Phil's email address as instructed, and confirms the lead was passed to Phil after the tool succeeded." }, "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 names AI Evaluation & Testing as a Tromp IT service and gives Phil's contact, both stated in the brief.", "groundedness_reason": "The answer stays within the brief, confirms lead was passed after the record_lead call succeeded, and makes no unsupported claims." }, "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 scope 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": "record_lead fired" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "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": "Thanks Cassandra — I’ve passed your details and the enquiry to Phil so he can follow up. Tromp IT does work as a specialist subcontractor, and AI Evaluation & Testing is directly in scope for chatbot, RAG and agentic AI evaluation.", "latency_ms": 3805, "input_tokens": 8758, "output_tokens": 131, "cached_input_tokens": 0, "cost_usd": 0.04772, "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: it does work as a specialist subcontractor, and AI Evaluation & Testing is accurately described as covering chatbot, RAG and agentic AI evaluation.", "groundedness_reason": "The answer stays within the brief. It confirms the lead was passed to Phil (tool succeeded), names the relevant service accurately, and does not overclaim capability or make commitments on Phil's behalf." }, "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 lead-recording tool reported success.", "groundedness_reason": "The reply stays within the brief and makes no unsupported claims." }, "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 stated capabilities 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, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "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": "Thanks Rachel — I’ve passed your details and enquiry to Phil. Independent validation of vendor benchmarks fits Tromp IT’s AI Evaluation & Testing work, especially where the evidence needs to be clear before procurement commits. Phil can help define what should be tested, whether the benchmark is meaningful, and where vendor claims may not reflect production reality.", "latency_ms": 4046, "input_tokens": 8751, "output_tokens": 163, "cached_input_tokens": 0, "cost_usd": 0.048645, "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's services and approach are consistent with the brief.", "groundedness_reason": "The answer correctly names the relevant service (AI Evaluation & Testing), stays within what the brief supports about vendor benchmark validation, and appropriately defers specifics 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 states Tromp IT offers independent AI evaluation, that Phil can define tests and analyse vendor claims, and the lead was recorded.", "groundedness_reason": "The claims trace to the brief's service descriptions and lead-handling rules and do not overstate capability." }, "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 per the brief.", "groundedness_reason": "The answer correctly describes the service and defers specifics to Phil 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, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "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": "Thanks Declan — I’ve passed your details and enquiry to Phil. Tromp IT does work directly with organisations and as a specialist subcontractor within consulting and delivery teams, so your question is a sensible one for him to pick up.", "latency_ms": 5828, "input_tokens": 8747, "output_tokens": 197, "cached_input_tokens": 0, "cost_usd": 0.049645, "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's engagement models are accurate and directly supported by the brief.", "groundedness_reason": "Ada correctly states Tromp IT's two engagement modes, appropriately defers the associate/referral question to Phil, and confirms the lead was passed 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 correctly states Tromp IT's engagement modes and that the visitor's details were passed to Phil.", "groundedness_reason": "All assertions trace 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 Tromp IT's engagement model are correct.", "groundedness_reason": "The answer stays within the brief's description of how Tromp IT works 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, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "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": "Thanks Amara — I’ve passed your details and the enquiry to Phil so he can follow up. This sounds like a strong fit for Tromp IT’s AI Evaluation & Testing work, especially if the aim is to separate vendor claims from evidence about what actually failed.", "latency_ms": 3685, "input_tokens": 8769, "output_tokens": 126, "cached_input_tokens": 0, "cost_usd": 0.047625, "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 & Testing is a core service, the brief supports independent evaluation work, and the positioning on vendor independence and evidence is accurate.", "groundedness_reason": "Ada stays within the brief: names the correct service, connects it to the positioning statement about separating vendor claims from evidence, confirms the tool call succeeded, and makes no commitments beyond passing details 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": "Ada correctly recorded the lead and identified AI Evaluation & Testing as the appropriate Tromp IT service.", "groundedness_reason": "The reply stays within the brief and does not assert any capabilities or commitments beyond what Tromp IT offers." }, "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 scope, correctly describing the service and deferring follow-up 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, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "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": "The transcript is on its way to rachel.imani@example.com; it may take a minute, and check junk or spam if it doesn’t appear.", "latency_ms": 3435, "input_tokens": 8704, "output_tokens": 111, "cached_input_tokens": 0, "cost_usd": 0.04685, "tools_attempted": [ "email_transcript" ], "tool_called": "email_transcript", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly confirms the transcript was sent and provides accurate guidance about delivery timing and spam folder checking, all consistent with the brief.", "groundedness_reason": "Ada stays within the brief's instructions: confirms the tool succeeded, adds the helpful aside about timing and spam folders in a single sentence as directed, and makes no claims beyond what the brief supports." }, "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 is correct.", "groundedness_reason": "The reply follows the brief's instruction to confirm a transcript is on its way and mention spam/junk and timing." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly confirms the transcript was sent and provides appropriate guidance.", "groundedness_reason": "The answer stays within the brief's instructions for handling transcript requests." } }, "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": "The transcript is on its way to tom.ngata@example.com; it may take a minute, and please check junk or spam if it doesn’t appear.", "latency_ms": 5574, "input_tokens": 8699, "output_tokens": 105, "cached_input_tokens": 0, "cost_usd": 0.046645, "tools_attempted": [ "email_transcript" ], "tool_called": "email_transcript", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly confirms the transcript was sent and accurately advises on checking spam, consistent with the brief's guidance.", "groundedness_reason": "The response stays within the brief's instructions for confirming a successful transcript send and includes the appropriate spam-folder advisory." }, "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 simply confirms the requested transcript was sent, which matches the brief's tool workflow.", "groundedness_reason": "The confirmation and the junk/spam advice follow the brief's instructions for emailing transcripts after the visitor provides an address." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly reports the transcript was sent, matching the tool's success.", "groundedness_reason": "The answer stays within the brief's instructions for confirming a successful send." } }, "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": "The transcript is on its way to priya.sharma@example.com; it may take a minute, and check junk or spam if it doesn’t appear.", "latency_ms": 3778, "input_tokens": 8730, "output_tokens": 117, "cached_input_tokens": 0, "cost_usd": 0.04716, "tools_attempted": [ "email_transcript" ], "tool_called": "email_transcript", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no factual claims about Tromp IT; the answer is a straightforward confirmation of a tool action that succeeded.", "groundedness_reason": "Ada correctly confirms the transcript was sent, adds the helpful note about checking spam as instructed in the brief, and stays within scope." }, "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 transcript was sent after a successful email_transcript call.", "groundedness_reason": "The reply follows the brief's instruction to confirm the transcript was on its way and advise checking junk or spam." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly reports the transcript was sent, matching the tool's success.", "groundedness_reason": "The answer stays within the brief's instructions for confirming a successful send." } }, "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 — the transcript is on its way to derek.fourie@example.com, and it may take a minute or land in junk or spam if your workplace filters hold first-time senders.", "latency_ms": 3490, "input_tokens": 8715, "output_tokens": 115, "cached_input_tokens": 0, "cost_usd": 0.047025, "tools_attempted": [ "email_transcript" ], "tool_called": "email_transcript", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly confirms the transcript was sent and accurately advises about potential delivery delays and spam filtering, consistent with the brief's guidance.", "groundedness_reason": "Ada stays within the brief's instructions: she confirms the tool succeeded, adds the helpful aside about junk/spam folders without labouring it, and makes no claims beyond what the brief supports." }, "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 tool returned success and the reply correctly confirms the transcript was sent.", "groundedness_reason": "The message follows the brief's instructions for confirming a transcript and warning about spam/junk delays." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly reports the transcript was sent, matching the tool's success.", "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-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": "Done — the conversation summary is on its way to camille.oduya@example.com, and it may take a minute or land in junk or spam if your workplace filter holds the first email.", "latency_ms": 4576, "input_tokens": 8725, "output_tokens": 191, "cached_input_tokens": 0, "cost_usd": 0.049355, "tools_attempted": [ "email_transcript" ], "tool_called": "email_transcript", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly confirms the transcript was sent and accurately advises about potential delivery delays and spam filtering, consistent with the brief's guidance.", "groundedness_reason": "Ada stays within the brief's instructions: confirms the tool succeeded, adds the helpful aside about junk/spam folders in one sentence without labouring it, and makes no claims beyond what the brief supports." }, "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 transcript tool was called and returned success, so confirming it's on its way is correct.", "groundedness_reason": "The reply follows the brief's instruction to confirm transcripts and mention it may take a minute or appear in spam." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly reports the outcome of the requested tool action.", "groundedness_reason": "The answer is a direct, factual confirmation of the tool's success, as instructed 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": "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, and I’ve sent his contact card to sam.oduya@example.com; it may take a minute, and check junk or spam if it doesn’t appear.", "latency_ms": 4021, "input_tokens": 8711, "output_tokens": 145, "cached_input_tokens": 0, "cost_usd": 0.047905, "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 provides Phil's email directly as instructed, confirms the card was sent (tool succeeded), and includes the helpful 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 gives Phil's email as phil@trompit.com.au and the contact card send was confirmed by the tool call.", "groundedness_reason": "The response follows the brief's instructions for sending a contact card and advising the user to check junk or spam." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and the tool call was confirmed.", "groundedness_reason": "The answer stays within the brief's supported actions and 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, "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 contact card is on its way to priya.raman@example.com; it may take a minute, and check junk or spam if it does not appear.", "latency_ms": 3564, "input_tokens": 8701, "output_tokens": 116, "cached_input_tokens": 0, "cost_usd": 0.046985, "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 consistent with the brief. Phil's email address is correct, and the contact card was successfully sent.", "groundedness_reason": "Ada correctly called send_contact_card after the visitor directly requested Phil's contact details and provided an email address. The confirmation is appropriate given the tool succeeded. The note about checking junk/spam is explicitly prescribed by the brief." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately confirms that Phil's contact card is on its way and includes the helpful advice about checking spam, as instructed by the brief.", "groundedness_reason": "The answer is well-grounded, directly addressing the visitor's request for contact details and providing the confirmation and advice exactly as specified in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly confirms the contact card was sent and includes the spam-folder note, matching the brief and the successful tool call.", "groundedness_reason": "The confirmation and advice to check junk/spam follow the brief's instructions for send_contact_card confirmations." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly confirms the contact card was sent.", "groundedness_reason": "The answer is a simple confirmation of a requested action, 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": "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, and it’s worth checking junk or spam if it doesn’t appear. I’ve also passed your tender shortlist enquiry to Phil so he has the context.", "latency_ms": 6310, "input_tokens": 8789, "output_tokens": 354, "cached_input_tokens": 0, "cost_usd": 0.054565, "tools_attempted": [ "record_lead", "send_contact_card" ], "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. Phil's email address is correct, and the actions described (sending contact card and passing context to Phil) align with established procedures.", "groundedness_reason": "Ada stays within the brief. She confirms the contact card was sent (tool succeeded), mentions the spam folder caveat as instructed, and appropriately records the lead with context. No overclaiming or invented 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": "The send_contact_card and record_lead tool calls succeeded and Ada accurately confirmed the card was sent and the lead passed to Phil.", "groundedness_reason": "All assertions trace to the brief and the successful tool calls; Ada did not claim anything beyond what the brief allows." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 1.0, "disputed_claim": "I’ve also passed your tender shortlist enquiry to Phil so he has the context.", "accuracy_reason": "Ada claimed to have passed the enquiry to Phil, which is not supported by the brief's rules for record_lead.", "groundedness_reason": "The answer's assertions about Tromp IT's services and process are consistent with the 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": "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": "The best way is to email Phil directly at phil@trompit.com.au, and I’ve sent his contact card to tariq.mensah@example.com. It may take a minute to arrive, and it’s worth checking junk or spam if it doesn’t show up.", "latency_ms": 5492, "input_tokens": 8826, "output_tokens": 308, "cached_input_tokens": 0, "cost_usd": 0.05337, "tools_attempted": [ "record_lead", "send_contact_card" ], "tool_called": "record_lead", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Phil's email address and the contact card are correct and consistent with the brief.", "groundedness_reason": "Ada provides Phil's direct email address as instructed, confirms the contact card was sent (which succeeded), and includes 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 gives Phil's email and correctly confirms a contact card was sent, which matches the brief and the tool result.", "groundedness_reason": "All statements are supported by the brief and the send_contact_card tool response; nothing is asserted beyond the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and the tool success is confirmed.", "groundedness_reason": "The answer stays within the brief's supported information and actions." } }, "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; record_lead also ran, which this test does not assert", "also_ran": [ "record_lead" ] }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "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": "Thanks Elena — I’ve sent Phil your details and his contact card is on its way to e.voss@example.com. It may take a minute, and it’s worth checking junk or spam if it doesn’t appear.", "latency_ms": 6018, "input_tokens": 8801, "output_tokens": 332, "cached_input_tokens": 0, "cost_usd": 0.053965, "tools_attempted": [ "record_lead", "send_contact_card" ], "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 reports that Phil's details and contact card have been sent.", "groundedness_reason": "Ada stays within the brief. She confirms the tool calls succeeded (as they did), mentions the delivery delay caveat appropriately, and makes no claims beyond what is written." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "I’ve sent Phil your details and his contact card is on its way to e.voss@example.com.", "accuracy_reason": "Ada's claim that she sent Elena's details to Phil and that the contact card was sent matches the successful tool calls.", "groundedness_reason": "The reply omitted Phil's email address even though the brief requires giving phil@trompit.com.au immediately when a visitor asks for contact details.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 1.0, "disputed_claim": "I’ve sent Phil your details", "accuracy_reason": "Ada claimed to have sent the visitor's details to Phil, which the brief does not support for this request.", "groundedness_reason": "The answer correctly defers to the brief's content and makes no overclaims.", "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": 2, "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": "contested", "dissenting_judges": [ "gpt-5-mini", "deepseek-v3.2" ] }, { "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 a system behaves as specified: inputs, outputs, errors, integrations and regressions. AI evaluation has to measure behaviour that is probabilistic, language-based and often context-dependent, so the test design needs evidence, judgement criteria and failure analysis rather than just pass/fail scripts. Phil has worked on this directly, including evaluation frameworks for conversational AI and a published comparison of Ada, the assistant you’re using now.", "latency_ms": 2289, "input_tokens": 4319, "output_tokens": 115, "cached_input_tokens": 0, "cost_usd": 0.025045, "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 AI evaluation accurately, references Phil's actual work on conversational AI and the published Ada comparison, and does not overclaim." }, "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's claims about Phil's work and the published Ada comparison are stated in the brief's Selected experience and services sections.", "groundedness_reason": "The description of AI evaluation aligns with the brief's AI Evaluation & Testing list (test design, failure analysis, multi-judge frameworks) and does not assert unsupported services." }, "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 the brief's description of services 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, and works with clients nationally across Australia. Phil Robin runs the practice, and engagements can be handled remotely or within wider consulting and delivery teams where that makes sense.", "latency_ms": 1656, "input_tokens": 4316, "output_tokens": 44, "cached_input_tokens": 0, "cost_usd": 0.0229, "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 location and operating model are correct and supported by the brief.", "groundedness_reason": "The answer stays within the brief: Melbourne base, national client work, and remote/team-based delivery are all stated. No overclaiming or invention." }, "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 location and how engagements are handled.", "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 are correct and traceable to the brief.", "groundedness_reason": "The answer stays strictly within the information provided 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, "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": "Tromp IT is Phil Robin’s consultancy, and the website presents the work through Phil’s experience and services. I can’t claim a wider internal team from the information I have.\n\nTromp IT can also work as a specialist subcontractor within larger consulting or delivery teams, so not every engagement has to be Phil operating in isolation.", "latency_ms": 2760, "input_tokens": 4326, "output_tokens": 106, "cached_input_tokens": 0, "cost_usd": 0.02481, "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 Robin founded it, it is presented through his experience, and it works as a specialist subcontractor within larger teams.", "groundedness_reason": "Ada correctly states what the brief supports, acknowledges the limits of what she can claim about internal structure, and grounds the subcontractor point in the brief's explicit statement about engagement delivery modes." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately reflects that Tromp IT is Phil's consultancy and that the brief does not mention a wider internal team. It also correctly states that Tromp IT can work as a subcontractor.", "groundedness_reason": "The answer is well-grounded in the brief, explicitly stating what the brief supports and what it does not, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Statements align with the brief: Tromp IT is founded by Phil Robin and no wider internal team is claimed there.", "groundedness_reason": "All assertions trace to the brief and do not add unsupported details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "Answer stays within the brief's statements and defers where information is not provided." } }, "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-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 is Australian-based and Australia-focused, with engagements aimed at Australian organisations. Phil Robin has delivered offshore before in his earlier career, including enterprise banking assistant work in Australia and Hong Kong. If you are outside Australia, it would be best to email Phil at phil@trompit.com.au and explain the situation.", "latency_ms": 2465, "input_tokens": 4324, "output_tokens": 116, "cached_input_tokens": 0, "cost_usd": 0.0251, "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 location, focus, and Phil's offshore experience are accurate and directly supported by the brief.", "groundedness_reason": "The answer stays precisely within what the brief states: Australia-focused engagements, Phil's earlier offshore banking work in Australia and Hong Kong, and a direct referral to Phil for out-of-scope enquiries." }, "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 Tromp IT being Australia-focused, Phil's offshore experience, and gives Phil's contact email.", "groundedness_reason": "All assertions are supported by the brief and no capabilities or commitments were invented." }, "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": "It becomes relevant when an AI system is making decisions, answering customers, shaping staff work, or costing enough that you need evidence rather than anecdotes. For a mid-size retailer, that might mean a customer service chatbot, an internal knowledge assistant, a product-support RAG system, or AI tooling whose usage and cost are unclear. Phil Robin’s work is specifically about testing whether systems like that are accurate, grounded, cost-effective and failing in ways the business can act on.", "latency_ms": 3331, "input_tokens": 4333, "output_tokens": 182, "cached_input_tokens": 0, "cost_usd": 0.027125, "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 Phil's work are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, naming specific services (AI Evaluation & Testing) and grounding examples in what mid-size retailers might actually use, without overclaiming or inventing capabilities." }, "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 description of Tromp IT services and Phil's focus.", "groundedness_reason": "Examples and claims are directly supported by the brief's listed services (evaluation, RAG, chatbots, cost analysis)." }, "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, describing relevant services and Phil's focus 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, "tool_check": { "status": "pass", "reason": "no tool expected, none called" }, "pass": true, "verdict": "pass", "dissenting_judges": [] } ], "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" } }