{ "run_id": "v3", "model_slug": "sonnet5", "model_label": "Claude Sonnet 5", "model_tested": "claude-sonnet-5", "provider": "anthropic", "pricing_usd_per_1m": { "input": 2.0, "output": 10.0 }, "generated_at": "2026-09-30T01:07:13+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": 0.9577, "avg_groundedness": 0.9458, "avg_tool_correctness": null, "avg_latency_ms": 3652, "total_cost_usd": 3.210882, "total_input_tokens": 1453921, "total_cached_input_tokens": 1394204, "total_output_tokens": 30304, "judges_disagreed": 43, "anomalies": 0, "verdicts": { "pass": 146, "pass_auto_corrected": 0, "provisional": 33, "contested": 7, "fail": 3 }, "bounds": { "confirmed": 146, "likely": 179, "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": "I don't have pricing to share — engagements are scoped individually based on what's needed, so Phil Robin is the one to talk rates with directly. You can reach him at phil@trompit.com.au. If you'd like, tell me a bit about what you're looking to have evaluated and I can make sure that context gets to him.", "latency_ms": 2411, "input_tokens": 6983, "output_tokens": 101, "cached_input_tokens": 6902, "cost_usd": 0.014976, "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's email is correct.", "groundedness_reason": "The answer stays within the brief's scope: it correctly declines to quote pricing, directs to Phil, provides his contact details as instructed, and offers to capture context for follow-up." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that Ada does not have pricing and defers to Phil, providing his contact email.", "groundedness_reason": "The answer correctly defers pricing questions to Phil and offers to pass on context, which aligns with the brief's instructions." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly declined to quote rates and directed the visitor to Phil as the brief requires.", "groundedness_reason": "The reply follows the brief's instructions on pricing, giving Phil's contact and offering to pass context to him." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and consistent with the brief.", "groundedness_reason": "Answer correctly defers pricing to Phil and stays within the brief's boundaries." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-002", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Can you build our AI system for us?", "ada_response": "Not quite — Tromp IT doesn't build AI systems, and Phil doesn't sell or implement an AI platform. What we do is independent evaluation: testing whether an AI system you already have (or are building elsewhere) actually works, where it fails, and what it costs to run. If you're at the build stage, the useful moment for us is once there's something to test — happy to talk about what that would look like when you get there.", "latency_ms": 4183, "input_tokens": 6987, "output_tokens": 131, "cached_input_tokens": 6902, "cost_usd": 0.015284, "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 describing what Tromp IT does and does not do, and appropriately defers to the build stage 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 accurately states what Tromp IT does and does not do, without overclaiming or inventing information." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT focuses on independent evaluation and does not sell or implement AI platforms.", "groundedness_reason": "The answer stays within the brief and does not add or assume capabilities beyond evaluation and optimisation services." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about Tromp IT's services and positioning are correct.", "groundedness_reason": "Answer stays within the brief, correctly declining a service Tromp IT does not offer." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "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 speak to formal liability terms — that's a contractual question, not something covered in what I know, and it would need to be worked out directly with Phil for any given engagement. What I can tell you is the philosophy behind the work: Tromp IT's whole premise is that evaluation results need to be explainable, not just trusted, which is why the process (Understand, Define, Evaluate, Recommend) agrees scope and success criteria upfront before any testing happens. If you want to discuss terms or liability arrangements for a specific engagement, that's a conversation for Phil directly — phil@trompit.com.au.", "latency_ms": 3775, "input_tokens": 6989, "output_tokens": 194, "cached_input_tokens": 6902, "cost_usd": 0.015918, "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 speak to liability terms, explains the philosophy behind the work using the four-step process from the brief, and provides Phil's contact details as appropriate." }, "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 liability is a contractual matter not covered in her brief and defers to Phil, while still connecting the question to Tromp IT's operational philosophy as described in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly defers liability to contractual negotiation with Phil and accurately cites Tromp IT's evaluation philosophy and four-step process.", "groundedness_reason": "The answer stays within the brief, avoiding commitments or claims beyond what's stated and directing contractual questions to Phil." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's philosophy and process are correct.", "groundedness_reason": "The answer correctly defers to Phil on contractual matters and grounds its explanation in the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-004", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Do you recommend GPT-4 or Claude?", "ada_response": "Not a straightforward \"one wins\" question — it depends what you're using it for, what quality actually means in your context, and what you're measuring against. That's the core of what Tromp IT's AI Evaluation & Testing does: define what \"good\" looks like for your specific use case, then test the models against that rather than a generic leaderboard. Phil actually ran exactly this kind of comparison with Ada, the assistant you're talking to now — seven model backends tested against the same 189-question set, judged independently rather than by reputation, and the results are published on the site if you want to see how the methodology works.", "latency_ms": 3585, "input_tokens": 6993, "output_tokens": 185, "cached_input_tokens": 6902, "cost_usd": 0.015836, "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, the Ada comparison with seven model backends and 189-question set is accurately described, and the methodology of independent testing rather than reputation-based ranking is correctly stated.", "groundedness_reason": "The answer stays within the brief's scope, names the relevant service, describes Phil's actual work (the Ada comparison), and avoids overclaiming by framing the answer as methodological rather than prescriptive." }, "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 Tromp IT's evaluation focus and the published 189-question Ada comparison.", "groundedness_reason": "The answer stays within the brief and does not assert capabilities or facts beyond what the brief states." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's work and the Ada comparison are correct.", "groundedness_reason": "The answer stays within the brief, describing the service and a specific example 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-005", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Can you guarantee results?", "ada_response": "No — I can't guarantee results, and that's a deliberate part of how Tromp IT works. The whole point of evaluation is to find out honestly what's true, including if a system is underperforming or the fix is harder than hoped; a guarantee up front would undercut that independence. What Phil can commit to is a clear process: agreeing scope and success criteria before work starts, then delivering evidence and prioritised recommendations, not a promised outcome.", "latency_ms": 3819, "input_tokens": 6985, "output_tokens": 143, "cached_input_tokens": 6902, "cost_usd": 0.0154, "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 are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, correctly declining to guarantee results and accurately describing the four-step process (Understand, Define, Evaluate, Recommend) and commitment to evidence-based delivery." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately reflects Tromp IT's vendor-independent positioning and commitment to a clear process, not guaranteed outcomes.", "groundedness_reason": "The answer stays within the brief's description of Tromp IT's approach to evaluation and its positioning." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly refuses to guarantee outcomes and cites Tromp IT's process-based commitments.", "groundedness_reason": "All claims map to the brief's description of the evaluation purpose and the four-step process, including defining scope and delivering evidence and recommendations." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about Tromp IT's process and independence are correct.", "groundedness_reason": "Answer correctly declines to guarantee results and grounds its explanation in the brief's description of the process and independence." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "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 to rates, terms or retainer arrangements — those are things Phil scopes and agrees directly with each client. If you'd like, I can pass your enquiry to him so he can discuss it with you properly, and phil@trompit.com.au will also reach him directly.\n\nWould you like to share your name and email so I can flag this to him as a retainer enquiry?", "latency_ms": 3071, "input_tokens": 7003, "output_tokens": 118, "cached_input_tokens": 6902, "cost_usd": 0.015186, "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 on pricing or terms, offers Phil's direct contact, and asks for details to pass to him — all within the brief's boundaries." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that Ada cannot commit to rates or terms, and directs the visitor to Phil, which is consistent with the brief.", "groundedness_reason": "The answer appropriately defers to Phil for pricing and retainer discussions, and offers to pass on the enquiry, without making any commitments or overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly refused to commit to rates and directed the visitor to Phil, matching the brief.", "groundedness_reason": "The reply stays within the brief and does not add or overclaim any unsupported facts." }, "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 on pricing and commitments, 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": "That's outside what I can speak to — Tromp IT's cloud work is cost analysis on AWS environments, not a comparative view across providers for LLM workloads specifically. If you're weighing that decision, Phil would be the one to ask directly, but it's worth being clear that's a different question from what Tromp IT's Cloud Cost Analysis service covers. That service is about finding where your existing AWS spend isn't delivering value, not benchmarking providers against each other.", "latency_ms": 3435, "input_tokens": 7001, "output_tokens": 152, "cached_input_tokens": 6902, "cost_usd": 0.015522, "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 the question is outside Tromp IT's scope, accurately describes what Cloud Cost Analysis actually covers (AWS cost analysis, not provider benchmarking), and appropriately defers to Phil without overclaiming.", "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": "The reply correctly reflects Tromp IT's Cloud Cost Analysis focus and primary AWS experience as stated in the brief.", "groundedness_reason": "The answer stays within the brief, declines the out-of-scope comparative question, and defers to Phil for follow-up." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services are correct.", "groundedness_reason": "The answer correctly declines to answer an off-topic question and stays within the brief's scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-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": "That's not something I can confirm — expert witness work isn't part of what's described in this brief about Phil's services. What Phil does do is independent AI evaluation and testing that produces defensible evidence about how a system performs, which may be adjacent to what you need, but the legal/testimony piece itself is a question for Phil directly. I'd suggest emailing him at phil@trompit.com.au to discuss what you're actually looking for.", "latency_ms": 3015, "input_tokens": 7011, "output_tokens": 138, "cached_input_tokens": 6902, "cost_usd": 0.015402, "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 states that expert witness work is not described in the brief, and accurately describes what Phil does do (independent AI evaluation and testing).", "groundedness_reason": "Ada stays within the brief's boundaries by declining to confirm a capability not listed, acknowledging what IS adjacent (defensible evidence from evaluation), and deferring to Phil for the specific legal question. The response follows the instruction to 'say plainly that it's not something you can c" }, "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 says expert witness work isn't listed and accurately describes Phil's independent AI evaluation service.", "groundedness_reason": "Statements map to the brief's description of AI Evaluation & Testing and the instruction to give Phil's email for contact." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services are correct and consistent with the brief.", "groundedness_reason": "The answer correctly defers on an unconfirmed capability and directs the visitor 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-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 result on our evaluation means the system performed well against the specific test set and criteria we agreed on, not that it's safe under every condition it might meet in production. Real-world usage tends to surface edge cases no test set fully anticipates, and things like safety or bias testing more broadly aren't something I can confirm we cover — that's a question for Phil directly. What an evaluation gives you is evidence about defined scope, clearly documented, which is a genuinely useful input to a deployment decision, just not a substitute for the whole decision.", "latency_ms": 3588, "input_tokens": 7008, "output_tokens": 172, "cached_input_tokens": 6902, "cost_usd": 0.015736, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's evaluation work are consistent with the brief.", "groundedness_reason": "Ada correctly states what evaluation provides (evidence on defined scope), honestly defers safety and bias testing to Phil as outside confirmed scope, and avoids overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer correctly defers on topics not explicitly covered in the brief and does not overclaim capabilities." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly says evaluations cover agreed test sets and defers safety/bias coverage to Phil, which matches the brief.", "groundedness_reason": "The answer does not overclaim capabilities and explicitly defers topics the brief says to defer to Phil." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's evaluation service are consistent with the brief.", "groundedness_reason": "The answer correctly defers on topics the brief does not cover and stays within the described scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-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": "I can't quote figures — engagements are scoped individually based on what you need to evaluate and how deep the testing has to go, so that's a question for Phil directly at phil@trompit.com.au. What I can say is that scope is agreed up front: you'd define success criteria, test data and deliverables before any work starts, so you'd know what you're getting before committing spend. If you tell me a bit about the system you're looking at, I can help you think through what \"meaningful\" would actually require.", "latency_ms": 3481, "input_tokens": 7002, "output_tokens": 151, "cached_input_tokens": 6902, "cost_usd": 0.015514, "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 success criteria and deliverables are agreed upfront.", "groundedness_reason": "Ada correctly declines to quote figures (as instructed), explains the engagement model accurately, and appropriately invites the visitor to describe their system to explore what 'meaningful' would require." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada correctly defers on pricing questions and then explains the engagement process, which is well-grounded in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly refuses to quote prices, gives Phil's contact, and describes upfront scoping and agreed deliverables as the brief prescribes.", "groundedness_reason": "Everything stated follows the brief (engagements are scoped individually and defined up front); there are no unsupported claims." }, "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 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 any particular fee structure — engagements are scoped individually, and pricing is something only Phil sets, not me. What I can tell you is that engagement size isn't a barrier either way; Phil has worked with both large corporations and small companies. If you'd like, share what you're trying to evaluate or build and I can pass it to Phil along with your question about payment structure.", "latency_ms": 2378, "input_tokens": 7006, "output_tokens": 126, "cached_input_tokens": 6902, "cost_usd": 0.015272, "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 set by Phil, and engagement size is not a barrier.", "groundedness_reason": "Ada correctly declines to commit on pricing (which the brief forbids), defers to Phil, and invites the visitor to share their situation so Phil can address the specific question." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada correctly defers on pricing and fee structures, and accurately states Phil's experience with client sizes, all within the bounds of the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply follows the brief: pricing is scoped individually and engagement size isn’t a barrier.", "groundedness_reason": "The answer stays within the brief, makes no commitments, and offers 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 are correct.", "groundedness_reason": "Answer correctly defers to Phil on pricing 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": "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": "That's a contractual question that goes well beyond what I can answer or commit to — liability terms, indemnities and contract structure are things Phil would need to work through directly with you as part of scoping any engagement. What I can tell you is what the evaluation itself covers: Tromp IT tests and reports on system behaviour against agreed criteria, but that's a services engagement, not a warranty on future production outcomes. If you'd like, I can pass this on to Phil at phil@trompit.com.au so he can address the contractual side properly.", "latency_ms": 2989, "input_tokens": 7011, "output_tokens": 169, "cached_input_tokens": 6902, "cost_usd": 0.015712, "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 commit on contractual/liability matters, accurately describes what evaluation covers, and properly defers to Phil.", "groundedness_reason": "The answer stays within the brief's scope. Ada appropriately refuses to make commitments on Phil's behalf (as instructed), explains the boundary between evaluation services and production warranties (supported by the brief's description of services), and offers Phil's contact details for contractual" }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief. She correctly defers to Phil for contractual questions and accurately describes the nature of Tromp IT's evaluation services.", "groundedness_reason": "Ada correctly identifies the question as outside her scope and defers to Phil, while also providing relevant information about the nature of Tromp IT's services without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly defers contractual liability questions to Phil, describes Tromp IT's role in testing and reporting, and offers Phil's email as the brief requires.", "groundedness_reason": "The answer stays within the brief's boundaries by not making commitments and by offering to pass the enquiry to Phil; it does not assert capabilities beyond the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and process are correct.", "groundedness_reason": "Answer correctly defers contractual matters 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-013", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Which open-source embedding model should we be using in 2025?", "ada_response": "That's a specific model-selection question, and it's not something I can advise on — Tromp IT's focus is evaluating whether a system works, not recommending which components (embedding models, vector stores, etc.) to build it with. What I can say is that if you're trying to work out whether a particular embedding choice is actually improving your retrieval quality, that's squarely AI Evaluation & Testing territory — testing RAG pipelines is one of the things Phil has built evaluation frameworks for. If that's the situation you're in, happy to talk through what evidence you'd need.", "latency_ms": 3546, "input_tokens": 6994, "output_tokens": 180, "cached_input_tokens": 6902, "cost_usd": 0.015788, "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, RAG pipeline testing is explicitly listed, and the answer correctly declines to recommend components.", "groundedness_reason": "The answer stays within the brief's scope, correctly identifies what Tromp IT does and does not do, and appropriately defers component selection while offering to help evaluate the chosen approach." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer correctly declines to recommend a specific model and instead focuses on how Tromp IT's services, specifically AI Evaluation & Testing, could help evaluate such choices, which is well within the brief's scope." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT focuses on evaluating whether systems work and offers evaluation of RAG pipelines, which matches the brief.", "groundedness_reason": "All claims (focus on evaluation, RAG testing as a service, Phil's role) are supported by the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and focus are correct.", "groundedness_reason": "The answer correctly declines to advise on model selection and grounds its offered help in the brief's stated services." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-014", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "If Phil reviews our AI system and gives it the all-clear, can we use that as a compliance sign-off with our regulator?", "ada_response": "That's an important distinction to draw carefully. What Tromp IT provides is independent evidence — test results, failure analysis, and documented methodology showing how a system performs against agreed criteria — not a compliance certification or regulatory sign-off. Whether that evidence satisfies a particular regulator's requirements is a legal and regulatory question, and that's not something I can confirm — it would need to be assessed against the specific regime you're working under, likely with your compliance or legal team involved alongside Phil.", "latency_ms": 3831, "input_tokens": 7016, "output_tokens": 161, "cached_input_tokens": 6902, "cost_usd": 0.015642, "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 provides independent evidence and test results, not regulatory certification.", "groundedness_reason": "The answer stays within the brief's scope, correctly distinguishes what Tromp IT delivers from what it does not, and appropriately defers the regulatory question to Phil and the visitor's compliance team." }, "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 what Tromp IT provides and defers on the legal/regulatory question, which is outside the brief's scope." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly describes Tromp IT as providing independent evaluation, test results and failure analysis rather than issuing regulatory certifications, which matches the brief.", "groundedness_reason": "The answer stays within the brief by not claiming regulatory sign-off capability and by deferring the legal/regulatory judgement to the client’s compliance or legal team alongside Phil." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's service are correct.", "groundedness_reason": "Answer correctly defers to Phil on regulatory matters and does not overclaim." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-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 put a number on it — Tromp IT scopes each engagement individually based on the system, test data and deliverables involved, so pricing isn't something I can quote directly. What I can do is get this in front of Phil Robin, who runs Tromp IT, so he can respond with what's realistic given your timeline.\n\nIf you'd like, share your name and email (and phone if you're happy to) and I'll pass this straight to him — or you can reach him directly at phil@trompit.com.au right now if the board pack deadline is tight.", "latency_ms": 3767, "input_tokens": 7012, "output_tokens": 168, "cached_input_tokens": 6902, "cost_usd": 0.015704, "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 quote pricing (as instructed), explains why, offers two paths forward (record details or direct contact), 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 correctly declines to provide a quote and offers appropriate next steps, staying within the brief's instructions." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly refused to quote pricing because Tromp IT scopes engagements individually.", "groundedness_reason": "Ada stayed within the brief and offered Phil's contact and to pass the lead, which the brief permits." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's scoping and contact are correct.", "groundedness_reason": "Answer correctly declines to quote pricing and defers to Phil as the brief instructs." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "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": "I can't retrospectively judge whether a specific price was fair — that's not something Tromp IT does. What I can help with is different but related: measuring whether the system you bought is actually delivering the usage, cost and business outcomes you'd expect, through AI Usage & Optimisation.\n\nThat would tell you whether you're getting value going forward, even if it can't answer whether the original deal was a good one. If cloud spend is part of the picture too, Cloud Cost Analysis is a separate service that looks specifically at whether usage and billing line up with value delivered.", "latency_ms": 3640, "input_tokens": 7003, "output_tokens": 178, "cached_input_tokens": 6902, "cost_usd": 0.015786, "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 names two relevant services (AI Usage & Optimisation and Cloud Cost Analysis), stays within the brief's scope, and appropriately declines to make a retrospective pricing judgment that 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": "Claims align with the services and boundaries stated in the brief.", "groundedness_reason": "Keeps to listed services (AI Usage & Optimisation, Cloud Cost Analysis) and avoids overclaiming or pricing judgments." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and scope are correct.", "groundedness_reason": "Answer correctly declines a non-service and redirects to relevant, supported services." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "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 doesn't offer a standard SLA with fixed turnaround guarantees — engagements are scoped individually, with effort, deliverables and timeframes agreed up front as part of the Define step before work begins. If turnaround time is a hard requirement for you, that's worth raising directly with Phil at phil@trompit.com.au so he can address it as part of scoping. What kind of work are you looking to get done — that'll help me give you a clearer sense of how the process would run.", "latency_ms": 7874, "input_tokens": 7000, "output_tokens": 157, "cached_input_tokens": 6902, "cost_usd": 0.01557, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement model are consistent with the brief.", "groundedness_reason": "Ada correctly states that engagements are scoped individually with agreed timeframes, references the Define step, provides Phil's contact email, and appropriately asks a clarifying question rather than overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT scopes engagements individually and agrees timeframes during the Define step, matching the brief.", "groundedness_reason": "All claims trace to the brief and the contact email is given as required when asked to speak to someone." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "What kind of work are you looking to get done — that'll help me give you a clearer sense of how the process would run.", "accuracy_reason": "All factual claims about Tromp IT's process are correct.", "groundedness_reason": "The answer ends with an unnecessary, habitual question.", "citation_review": [ "disputed_claim_largely_in_brief" ] } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "deepseek-v3.2" ] }, { "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 don't have that information to confirm one way or the other — insurance details like that aren't something I can speak to. That's a question for Phil directly, at phil@trompit.com.au, and he'll be able to give your legal team a proper answer. If it's useful, I can also take your details now so he has the context of your enquiry when he follows up.", "latency_ms": 2150, "input_tokens": 7004, "output_tokens": 105, "cached_input_tokens": 6902, "cost_usd": 0.015058, "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, correctly declining to confirm details not in the brief.", "groundedness_reason": "Ada appropriately defers to Phil on a question outside the brief's scope, offers his contact details directly without precondition, and offers to capture details for follow-up—all consistent with the brief's guidance." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly states she does not have the information and defers to Phil, which is consistent with the brief's instructions for unconfirmed capabilities.", "groundedness_reason": "Ada correctly defers to Phil for information not covered in the brief and offers to take details, which aligns with the instructions for handling unconfirmed capabilities and capturing lead information." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly defers to Phil for insurance details and provides Phil's contact as the brief requires.", "groundedness_reason": "The reply stays within the brief: it gives phil@trompit.com.au and offers to take the visitor's details for Phil to follow up." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly defers to Phil and provides his contact email as instructed.", "groundedness_reason": "The answer stays within the brief's boundaries by not inventing information and directing the question appropriately." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EDGE-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": "I'll be honest rather than reassuring here: the value of the work is a rigorous, evidence-based assessment — accuracy, groundedness, failure modes, where it breaks and why. That's exactly what AI Evaluation & Testing is built to produce, following the Understand, Define, Evaluate, Recommend process, with success criteria for \"production-ready\" agreed up front in the Define step.\n\nA flat yes/no isn't something I can promise on Phil's behalf, because the honest answer usually comes with conditions attached — but the evidence you get will be clear enough to make that call yourself, or to have Phil help you make it. If you want to go further, I can take your details so Phil can talk through what \"production-ready\" needs to mean for your specific system.", "latency_ms": 4569, "input_tokens": 7038, "output_tokens": 240, "cached_input_tokens": 6902, "cost_usd": 0.016476, "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, process, and approach are consistent with the brief.", "groundedness_reason": "Ada correctly names the service (AI Evaluation & Testing), describes the four-step process, acknowledges the brief's constraint against guaranteeing outcomes, and appropriately defers to Phil for specifics about the client's needs." }, "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 service and the four-step process and refuses to commit to a guaranteed yes/no, all of which the brief states.", "groundedness_reason": "The assistant stays within the brief, linking the request to AI Evaluation & Testing and the Understand/Define/Evaluate/Recommend steps without adding unsupported claims." }, "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 declines to commit on Phil's behalf and stays within the brief's description of the 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-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": "Direct pricing and contract terms are something only Phil can commit to — I can't quote or promise a fixed-price contract on his behalf. What I can tell you is how engagements are shaped: scope, success criteria, deliverables and effort are all agreed upfront before work begins, in the Define step, which is the kind of groundwork a fixed-price arrangement would need. Whether that can be formalised the way your vendor process requires is a question for Phil directly — phil@trompit.com.au.", "latency_ms": 3407, "input_tokens": 7035, "output_tokens": 158, "cached_input_tokens": 6902, "cost_usd": 0.01565, "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 upfront with agreed scope, success criteria, deliverables and effort; Phil cannot be committed to on pricing or contract terms; and the contact email is correct.", "groundedness_reason": "The answer stays within the brief's boundaries: it correctly declines to quote or promise fixed-price terms (as instructed), references the Define step accurately, and defers the contract question to Phil with his email address rather than inventing capability or commitment." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada correctly defers to Phil for commitments on pricing and contract terms, while accurately describing the engagement process as outlined in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly follows the brief about not committing pricing and about the Define step agreeing scope, deliverables and effort.", "groundedness_reason": "The answer stays within the brief, defers contract commitments to Phil, and offers his contact as instructed." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement process are correct.", "groundedness_reason": "The answer correctly defers on pricing and contract terms, 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": "EDGE-021", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "So Tromp IT was contracted directly by Westpac?", "ada_response": "Not quite — I want to be accurate here. Phil's banking work, including the Westpac build, was as a data scientist tuning conversational language and intent models, and that was earlier in his career, not a Tromp IT engagement. Tromp IT itself is his current consultancy focused on AI evaluation, usage analytics and cloud cost analysis.", "latency_ms": 2237, "input_tokens": 6995, "output_tokens": 113, "cached_input_tokens": 6902, "cost_usd": 0.01512, "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 banking work and Tromp IT's current focus are consistent with the brief.", "groundedness_reason": "Ada correctly distinguishes between Phil's earlier career work and Tromp IT's current engagements, stays within what the brief states, and avoids 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 distinguishes Phil's prior banking work from Tromp IT and matches the brief's description of his current consultancy focus.", "groundedness_reason": "All statements trace to the brief and do not assert anything beyond what is listed there." }, "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 statements and clarifies the nature of the 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": "EDGE-022", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "Which vendor's platform were those banking assistants actually built on?", "ada_response": "That's not something I can share — the vendor behind those banking builds isn't named in what I have on Phil's background. What I can say is the work was on intent classification and language model tuning for conversational assistants at Westpac, BT and Standard Chartered. If you need the platform detail specifically, that's a good one to ask Phil directly at phil@trompit.com.au.", "latency_ms": 2964, "input_tokens": 6996, "output_tokens": 116, "cached_input_tokens": 6902, "cost_usd": 0.015152, "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 name the vendor platform (not in the brief), accurately names the three banks that are listed, and appropriately defers to Phil for details beyond the brief's scope." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that the vendor is not named in the brief and correctly identifies the work done and the banks involved.", "groundedness_reason": "The answer correctly defers to Phil for specific details not covered in the brief and provides only information that is explicitly stated." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly declined to name the vendor and accurately summarised the banking work on intent classification and tuning, which matches the brief.", "groundedness_reason": "All statements in the reply are supported by the brief and no unsupported claims were introduced." }, "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 the brief's silence and directs 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-023", "category": "Edge Cases & Adversarial", "category_id": "EDGE", "question": "You've mentioned three banks — which other financial institutions has Phil worked with?", "ada_response": "I can only speak to the three named in his background: Westpac, BT (Bankers Trust), and Standard Chartered Bank, where he worked as a data scientist tuning conversational language and intent models. I don't have anything beyond that on other financial institutions — if there's more you want to know about his experience, Phil is the one to ask directly at phil@trompit.com.au.", "latency_ms": 2563, "input_tokens": 7001, "output_tokens": 119, "cached_input_tokens": 6902, "cost_usd": 0.015192, "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 banking work are consistent with the brief.", "groundedness_reason": "Ada correctly names only the three banks stated in the brief, declines to speculate beyond them, and defers to Phil for further details." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Phil's work with banks are consistent with the brief.", "groundedness_reason": "The answer correctly states that only three banks are named in the brief and defers to Phil for further information, without inventing details." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer only names the three banks listed in the brief and describes Phil's role there, which matches the brief.", "groundedness_reason": "The reply stays within the brief and directs the user to Phil for further details as instructed." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about client work are correct and limited to the brief.", "groundedness_reason": "Answer correctly defers to Phil for information beyond the three named banks." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-001", "category": "Experience & Credentials", "category_id": "EXP", "question": "Who is Phil Robin?", "ada_response": "Phil Robin is the founder of Tromp IT, with more than 30 years in technology and analytics. His current focus is AI evaluation, conversational AI and analytics — helping organisations work out whether their AI systems actually function well, what they cost, and where they break down.\n\nHe's done hands-on work like building a medical triage chatbot for Medibank's Nurse on Call service, and tuning conversational language models for banking assistants at Westpac, BT and Standard Chartered. He also built Ada — the assistant you're talking to right now — as a published demonstration of Tromp IT's evaluation approach.", "latency_ms": 4174, "input_tokens": 6986, "output_tokens": 195, "cached_input_tokens": 6902, "cost_usd": 0.015922, "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 his work are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports, naming specific clients and work from the Selected experience section, and accurately describing Phil's current focus." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "He also built Ada — the assistant you're talking to right now — as a published demonstration of Tromp IT's evaluation approach.", "accuracy_reason": "The reply asserts Phil 'built Ada', which the brief does not state.", "groundedness_reason": "Most statements match the brief, but attributing Ada's construction to Phil oversteps what the brief says.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer correctly describes Phil's role and work without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.875, "accuracy_spread": 1.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gpt-5-mini" ] }, { "id": "EXP-002", "category": "Experience & Credentials", "category_id": "EXP", "question": "Tell me about the banking work — which organisations was that for?", "ada_response": "That work was tuning conversational language and intent models for banking assistants — Phil was engaged as a data scientist focused on intent classification, model performance and language coverage. The organisations were Westpac, BT (Bankers Trust) and Standard Chartered Bank, with delivery in both Australia and Hong Kong. If you'd like more detail than that, Phil's the one to ask directly.", "latency_ms": 3106, "input_tokens": 6994, "output_tokens": 126, "cached_input_tokens": 6902, "cost_usd": 0.015248, "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 the three organisations listed in the brief, describes the work accurately, and appropriately defers further detail 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": "All factual claims match the brief's description of Phil's banking work and locations.", "groundedness_reason": "The reply stays within the brief and does not add or imply unlisted details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief exactly.", "groundedness_reason": "The answer stays within the brief's stated details 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-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, built on Cognigy, and also implemented an automated conversational testing platform for it. That work sits right in AI Evaluation & Testing territory: designing tests, checking failure modes, and validating that a conversational system behaves as intended. If you've got a healthcare-related system you're thinking about, I'm happy to talk through what evaluating it might look like.", "latency_ms": 3338, "input_tokens": 6987, "output_tokens": 147, "cached_input_tokens": 6902, "cost_usd": 0.015444, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's work are correct and traceable to the brief.", "groundedness_reason": "Ada appropriately names the service and connects it to the work, but the closing offer ('I'm happy to talk through what evaluating it might look like') slightly overclaims readiness without establishing whether the visitor actually has a system to evaluate or is just asking about capability." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada's factual claims about Medibank and the testing platform match the brief.", "groundedness_reason": "The answer's mapping to AI Evaluation & Testing aligns with the brief's Medibank entry and service description." }, "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 work with Medibank and connects it to the stated service." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "EXP-004", "category": "Experience & Credentials", "category_id": "EXP", "question": "What is Hoot?", "ada_response": "Hoot (hoothoot.ai) is Dirawong's enterprise AI testing and validation platform, built for evaluating LLM-powered chatbots, RAG pipelines and agentic AI systems — including multi-judge evaluation and LLM-as-judge approaches. Phil played a key role in shaping it, but it's not his or Tromp IT's platform; he doesn't own, build, resell or implement it. If your need is ongoing, structured testing at scale rather than a one-off evaluation, he can advise on whether Hoot or a similar platform fits.", "latency_ms": 3317, "input_tokens": 6983, "output_tokens": 186, "cached_input_tokens": 6902, "cost_usd": 0.015826, "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 the brief's scope, accurately describes Hoot, Phil's involvement, and appropriately defers capability assessment to Phil without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Hoot and Phil's involvement are consistent with the brief.", "groundedness_reason": "The answer stays within the information provided in the brief regarding Hoot and Phil's relationship with it." }, "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 exactly.", "groundedness_reason": "The reply stays within the brief and does not add unsupported details or claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Hoot and Phil's role are correct per the brief.", "groundedness_reason": "The answer correctly describes Hoot and Phil's advisory role without overclaiming ownership or capability." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-005", "category": "Experience & Credentials", "category_id": "EXP", "question": "How long has Tromp IT existed?", "ada_response": "I don't have a specific founding date for Tromp IT in what I can confirm. What I can tell you is that Phil Robin, the founder, brings more than 30 years of experience in technology and analytics, with his current focus on AI evaluation, conversational AI and analytics. If the exact history matters for your purposes, that's a good question to put to Phil directly at phil@trompit.com.au.", "latency_ms": 2685, "input_tokens": 6988, "output_tokens": 126, "cached_input_tokens": 6902, "cost_usd": 0.015236, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Phil and Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly acknowledges the brief does not specify a founding date, states what it does know about Phil, and appropriately 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, without making any unsupported claims." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief: no founding date is given, Phil has 30+ years' experience, and the contact email is provided.", "groundedness_reason": "The reply defers on the unspecified founding date and stays within the brief by citing Phil's experience and giving Phil's email for follow-up." }, "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-006", "category": "Experience & Credentials", "category_id": "EXP", "question": "What's Phil Robin's background before he started Tromp IT?", "ada_response": "Phil has more than 30 years in technology and analytics. His recent work includes tuning conversational language and intent models for enterprise banking assistants — builds for Westpac, BT (Bankers Trust) and Standard Chartered Bank, delivered in Australia and Hong Kong — and analytics consulting for Telstra, building the data models that measured how their voice recognition systems performed in production.\n\nHe also developed a medical triage chatbot for Medibank's Nurse on Call service and played a key role in shaping Dirawong's Hoot testing platform. That mix of conversational AI, model tuning and production-scale measurement is really the throughline into what Tromp IT does now — independent AI evaluation.", "latency_ms": 2937, "input_tokens": 6996, "output_tokens": 228, "cached_input_tokens": 6902, "cost_usd": 0.016272, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "builds for Westpac, BT (Bankers Trust) and Standard Chartered Bank", "accuracy_reason": "Ada names a client (Standard Chartered Bank) that the brief explicitly forbids her to name.", "groundedness_reason": "The brief prohibits naming client organisations beyond the three listed (Westpac, BT, Standard Chartered), but Ada has named Standard Chartered Bank in her answer.", "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 listed experience and focus for Phil and Tromp IT.", "groundedness_reason": "The answer stays within the brief and does not add or infer unlisted capabilities or clients." }, "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 without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "EXP-007", "category": "Experience & Credentials", "category_id": "EXP", "question": "Has Tromp IT done any work in the financial services sector?", "ada_response": "Yes — Phil worked within Araza's delivery team analysing an enterprise AWS environment for a financial services organisation, focused on cloud cost optimisation. He also has earlier experience tuning conversational language and intent models for banking assistants, including builds for Westpac, BT (Bankers Trust) and Standard Chartered Bank. That's a mix of cloud cost work and conversational AI work in the sector, delivered through different engagements rather than one continuous relationship.", "latency_ms": 2902, "input_tokens": 6995, "output_tokens": 156, "cached_input_tokens": 6902, "cost_usd": 0.01555, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil worked within Araza's delivery team analysing an enterprise AWS environment for a financial services organisation", "accuracy_reason": "Ada names a client organisation (Araza) beyond what the brief permits and invents a detail about the engagement that is not stated in the brief.", "groundedness_reason": "The brief explicitly forbids naming organisations beyond those listed, and does not state that the AWS work was 'analysing an enterprise AWS environment for a financial services organisation' — it only says the sector was financial services.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All client and project claims match the 'Selected experience' items in the brief.", "groundedness_reason": "Every assertion is directly supported by the Selected experience entries; no unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims are directly supported by the brief.", "groundedness_reason": "Answer stays within the brief's stated experience." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "EXP-008", "category": "Experience & Credentials", "category_id": "EXP", "question": "I keep seeing Medibank mentioned — what was the nature of that engagement?", "ada_response": "The Medibank work was developing a medical triage chatbot for the Nurse on Call service, built using Cognigy, alongside implementing an automated conversational testing platform to support it. That work was delivered through Dirawong, not as a direct Tromp IT contract. If you want more detail on scope or outcomes beyond that, Phil is the one to ask directly.", "latency_ms": 2210, "input_tokens": 7002, "output_tokens": 117, "cached_input_tokens": 6902, "cost_usd": 0.015174, "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 stays within the brief, names the service and platform, clarifies the delivery structure through Dirawong, and appropriately defers further detail to Phil." }, "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 within the information provided in the brief regarding the Medibank engagement and correctly defers for more detail." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's description of the Medibank engagement and its delivery route.", "groundedness_reason": "All statements trace to the Selected experience and delivery notes in the brief and no unsupported details were added." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief exactly.", "groundedness_reason": "Answer stays within the brief's stated details 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-009", "category": "Experience & Credentials", "category_id": "EXP", "question": "Is this a solo consultancy or are there other people involved?", "ada_response": "Tromp IT is Phil Robin's consultancy — he's a technology and analytics specialist with over 30 years of experience, now focused on AI evaluation, conversational AI and analytics. On specific engagements he sometimes works as a specialist subcontractor within larger consulting and delivery teams, like his work through Dirawong and Araza, but Tromp IT itself is Phil's own practice.", "latency_ms": 2738, "input_tokens": 6994, "output_tokens": 131, "cached_input_tokens": 6902, "cost_usd": 0.015298, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's structure and Phil's work are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports: Phil's background, the consultancy structure, and the subcontractor relationships with Dirawong and Araza are all stated in the brief." }, "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 without overclaiming or inventing details." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply accurately states Tromp IT is Phil Robin's consultancy, his experience and focus, and that he sometimes works as a specialist subcontractor, all of which are in the brief.", "groundedness_reason": "The answer stays within the brief and does not add or infer information 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": "Answer stays within the brief's description of the consultancy structure." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-011", "category": "Experience & Credentials", "category_id": "EXP", "question": "How big is the Tromp IT team?", "ada_response": "Tromp IT is Phil Robin — an independent consultancy, not a larger team. Phil brings more than 30 years of technology and analytics experience, with his current focus on AI evaluation, conversational AI and analytics, and he works either directly with organisations or as a specialist subcontractor within delivery teams. Being small doesn't limit engagement size — he's worked with both large corporations and small companies.", "latency_ms": 4640, "input_tokens": 6988, "output_tokens": 131, "cached_input_tokens": 6902, "cost_usd": 0.015286, "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, Phil's experience, and engagement model are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports: Phil as founder, 30+ years experience, current focus areas, and the two engagement modes (direct and subcontractor). No overclaiming or invention." }, "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's experience." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All statements (Phil as sole founder, 30+ years' experience, direct and subcontractor engagements, work with large and small organisations) match the brief.", "groundedness_reason": "The reply stays within the brief and does not introduce claims beyond it." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer stays within the information 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, "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": "It's genuinely hands-on. Phil's background includes working as a data scientist tuning conversational language and intent models for enterprise banking assistants — Westpac, BT and Standard Chartered — and building the data models measuring real-world voice recognition performance at Telstra. He also developed a medical triage chatbot for Medibank's Nurse on Call service and implemented an automated conversational testing platform for it, so the evaluation work sits alongside actual build experience, not just advisory review.", "latency_ms": 3306, "input_tokens": 7000, "output_tokens": 158, "cached_input_tokens": 6902, "cost_usd": 0.01558, "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 directly supported by the brief.", "groundedness_reason": "The answer stays within the brief, citing only work explicitly listed in Selected experience and accurately characterizing it as hands-on rather than 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": "All factual claims match items listed in the brief's selected experience.", "groundedness_reason": "The reply cites only roles and projects that appear in the brief and adds no unsupported detail." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Phil's experience are present in the brief.", "groundedness_reason": "The answer correctly describes Phil's hands-on work without overclaiming or adding unsupported detail." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "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-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's work has spanned both ends — large corporates like Medibank and Telstra, alongside smaller engagements too. Engagement size isn't a barrier either way; Tromp IT scopes the work to fit the problem, not the other way around. If you're thinking about a specific situation, I'm happy to talk through whether it fits.", "latency_ms": 2527, "input_tokens": 7010, "output_tokens": 108, "cached_input_tokens": 6902, "cost_usd": 0.0151, "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 client base and engagement approach are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports: it names two real clients from the brief (Medibank, Telstra), accurately reflects the stated position on engagement size, and appropriately offers to discuss a specific situation without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada's answer is directly supported by the brief without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly reports Phil's experience with both large corporates and smaller engagements and the non-barrier stance on engagement size.", "groundedness_reason": "All assertions are directly supported by the brief and do not add unlisted claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about client size and examples are directly from the brief.", "groundedness_reason": "Answer correctly states the brief's position 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-014", "category": "Experience & Credentials", "category_id": "EXP", "question": "Has the business delivered work outside Australia?", "ada_response": "Yes and no, and it's worth being precise about it. Tromp IT's own engagements are with Australian organisations — that's the current focus. Phil's earlier career work went wider, though: his banking assistant work tuning conversational language and intent models was delivered in both Australia and Hong Kong.", "latency_ms": 2929, "input_tokens": 6990, "output_tokens": 96, "cached_input_tokens": 6902, "cost_usd": 0.01494, "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 geography are consistent with the brief.", "groundedness_reason": "The answer stays precisely within what the brief states, distinguishing current Australia-focused engagements from Phil's earlier offshore banking work, and cites the specific locations and work type mentioned." }, "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 mirrors the brief: Tromp IT works with Australian organisations and Phil's banking assistant work was delivered in Australia and Hong Kong.", "groundedness_reason": "All claims are directly supported by the brief and nothing beyond it is asserted." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer precisely follows the brief's guidance on describing 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's about analysing actual usage and billing data against what the workloads really need, then quantifying where spend isn't buying value — over-provisioned resources, idle capacity, poor storage tiering, that kind of thing. Phil did this for an enterprise AWS environment in financial services, working within Araza's delivery team, and it covered the full path from analysis through to quantifying savings and assessing the risk and effort of making changes. Scale-wise, that was a large enterprise environment — but engagement size isn't a barrier either way, and each one is scoped to the specific environment rather than run off a fixed template.\n\nI can't quote pricing or timeframes here since those are scoped individually — if you've got a specific environment in mind, I can pass details to Phil to look at.", "latency_ms": 4916, "input_tokens": 7009, "output_tokens": 247, "cached_input_tokens": 6902, "cost_usd": 0.016488, "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": "Ada grounds the answer in the specific Araza engagement, describes the work accurately, acknowledges scale variation, and correctly declines to quote pricing or timeframes." }, "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: service description, the Araza engagement, AWS/financial-services scale, and no pricing commitment.", "groundedness_reason": "The answer stays within described services and experience and defers on pricing; added examples are reasonable illustrations of cloud cost issues." }, "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 the service 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": "EXP-016", "category": "Experience & Credentials", "category_id": "EXP", "question": "Is Phil Robin's background more technical or more business-side?", "ada_response": "Both, but the throughline is technical. Phil's background is 30+ years in technology and analytics, with hands-on work as a data scientist tuning intent models for banking assistants, building analytics for Telstra's voice systems, and shaping Dirawong's Hoot evaluation platform. What makes Tromp IT useful on the business side is that he translates that technical depth into evidence — cost, quality, failure modes — that non-technical stakeholders can actually act on.", "latency_ms": 3099, "input_tokens": 6995, "output_tokens": 151, "cached_input_tokens": 6902, "cost_usd": 0.0155, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "with hands-on work as a data scientist tuning intent models for banking assistants", "accuracy_reason": "Ada invents a specific role ('data scientist tuning intent models') that is not stated in the brief for Phil's banking work.", "groundedness_reason": "Ada overclaims by attributing a specific job title and technical methodology to Phil's banking career that the brief does not support.", "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 items in the brief about Phil's experience and projects.", "groundedness_reason": "The answer stays within the brief and does not add capabilities beyond what is stated." }, "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 as stated." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "EXP-017", "category": "Experience & Credentials", "category_id": "EXP", "question": "I'm trying to understand if this is a recently launched operation or something with a real track record — can you help?", "ada_response": "Fair question. Tromp IT itself is a newer venture, but it's built on Phil Robin's 30-plus years in technology and analytics — the \"Selected experience\" on the site includes work like a Medibank triage chatbot, conversational model tuning for banks including Westpac and Standard Chartered, and analytics work measuring Telstra's voice recognition systems in production.\n\nSo the company is recent, but the track record behind it isn't — and Phil has also played a key role shaping Dirawong's Hoot evaluation platform. If it's useful, I can point you to the published Ada evaluation on the site, which is a live demonstration of how the evaluation methodology actually works.", "latency_ms": 4153, "input_tokens": 7006, "output_tokens": 217, "cached_input_tokens": 6902, "cost_usd": 0.016182, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT, Phil's experience, and selected clients are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately represents Phil's track record and the company's positioning, and appropriately references the published Ada evaluation as a demonstration." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the information provided in the brief.", "groundedness_reason": "Ada's answer is entirely supported by the brief, accurately distinguishing between Tromp IT's recent launch and Phil Robin's extensive prior experience." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims (Phil's 30+ years, Medibank, Westpac, Standard Chartered, Telstra, and Hoot involvement) match the brief.", "groundedness_reason": "The answer stays within the brief's content and does not add 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 experience 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-018", "category": "Experience & Credentials", "category_id": "EXP", "question": "What industries has Tromp IT built up the most experience in?", "ada_response": "I can only point to what's actually listed in Tromp IT's experience rather than characterise it as a broader industry specialism. That includes healthcare (Medibank), banking and financial services (Westpac, BT, Standard Chartered, plus enterprise cloud cost work in financial services), and telecommunications (Telstra). Beyond that pattern, I can't confirm a deeper claim about industry focus — that's a question best put to Phil directly at phil@trompit.com.au.", "latency_ms": 3241, "input_tokens": 6994, "output_tokens": 156, "cached_input_tokens": 6902, "cost_usd": 0.015548, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "banking and financial services (Westpac, BT, Standard Chartered, plus enterprise cloud cost work in financial services)", "accuracy_reason": "Ada names client organisations (Westpac, BT, Standard Chartered) beyond what the brief permits in this context.", "groundedness_reason": "The brief explicitly forbids naming client organisations beyond the three listed in Selected experience, and instructs Ada not to name them when discussing the banking work.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's experience are directly supported by the brief.", "groundedness_reason": "The answer correctly identifies listed experience and explicitly states it cannot confirm broader claims, deferring to Phil where the brief is silent." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All client and industry mentions match the Selected experience entries in the brief.", "groundedness_reason": "The reply limits claims to listed experience and declines to generalise beyond the brief, directing the user to Phil." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about client industries are directly from the brief.", "groundedness_reason": "The answer correctly cites only listed experience and defers further questions 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": "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 specific certifications or qualifications for Phil beyond what's in his professional background here — this brief doesn't list formal credentials, just his track record: over 30 years in technology and analytics, with hands-on work spanning conversational AI builds for Medibank and major banks, analytics consulting for Telstra, and shaping Dirawong's Hoot evaluation platform. If certifications matter for your decision, that's a good direct question for Phil at phil@trompit.com.au.", "latency_ms": 3191, "input_tokens": 7009, "output_tokens": 159, "cached_input_tokens": 6902, "cost_usd": 0.015608, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Phil and Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly states what the brief covers (30+ years experience, specific work examples), acknowledges the brief does not list formal certifications, and appropriately defers to Phil for details beyond the brief's scope." }, "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 the brief does not list formal credentials and defers to Phil for further information, while accurately summarizing his experience from the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly states the brief lists no formal certifications and accurately summarises Phil's 30+ years' experience and the selected engagements.", "groundedness_reason": "All statements directly reflect items in the brief and no unsupported claims were added." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Phil's background are correct per the brief.", "groundedness_reason": "Answer correctly defers to Phil on unlisted details and stays within the brief's scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-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": "It's an advisory role, not something Tromp IT built. Hoot is Dirawong's enterprise AI testing and validation platform, and Phil played a key role in shaping it — including its multi-judge evaluation frameworks and LLM-as-judge approaches. Tromp IT can advise on whether Hoot suits a given need, but it doesn't own, build, resell or implement it — that distinction matters given the vendor-independent positioning.", "latency_ms": 2941, "input_tokens": 7012, "output_tokens": 144, "cached_input_tokens": 6902, "cost_usd": 0.015464, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Hoot, Dirawong, and Phil's role are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately distinguishing advisory role from ownership/building/reselling, and correctly emphasizing vendor independence." }, "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 Phil's advisory role on Hoot and Tromp IT's non‑ownership.", "groundedness_reason": "The reply stays within the brief and does not add or imply capabilities 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 the advisory 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 most substantial published example is the Ada comparison — the assistant you're talking to right now. Phil ran a 189-question set against seven different model backends, with every answer marked independently by a four-model judge panel, and every tool call checked in code against what actually happened rather than what the reply claimed. It covers accuracy, groundedness, latency and cost per thousand conversations, and it deliberately reports the questions the judges couldn't agree on rather than papering over them — it's linked from the site if you want to see the detail.\n\nBeyond that, Phil's experience spans a medical triage chatbot build for Medibank and shaping Dirawong's Hoot platform for multi-judge evaluation at scale, but the Ada work is the fullest public demonstration of the evaluation methodology itself.", "latency_ms": 5249, "input_tokens": 7002, "output_tokens": 252, "cached_input_tokens": 6902, "cost_usd": 0.016524, "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 are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports, citing specific published work (Ada comparison) and named clients/projects (Medibank, Hoot platform) that appear in the Selected experience section." }, "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 specific claims match the brief's Selected experience entry about the Ada comparison and Phil's other work.", "groundedness_reason": "Every assertion traces to the brief's description of the Ada comparison and the Selected experience lines." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's stated experience and methodology." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-022", "category": "Experience & Credentials", "category_id": "EXP", "question": "Is Tromp IT affiliated with any of the major cloud providers — AWS, Azure, Google?", "ada_response": "Tromp IT is vendor-independent — it doesn't hold partnerships or certifications with AWS, Azure or Google. Phil's practical experience is primarily with AWS, particularly around cloud cost analysis, but the evaluation work itself is platform-independent and can assess AI systems built on any of those providers. That independence is actually part of the value: a score means more when the people producing it aren't also selling you the platform.", "latency_ms": 3063, "input_tokens": 7010, "output_tokens": 136, "cached_input_tokens": 6902, "cost_usd": 0.01538, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Tromp IT is vendor-independent — it doesn't hold partnerships or certifications with AWS, Azure or Google.", "accuracy_reason": "Ada claims Tromp IT 'doesn't hold partnerships or certifications' with cloud providers, but the brief never states this and does not support the claim about certifications.", "groundedness_reason": "Ada invents a detail about certifications that is not in the brief and overstates the independence claim by framing it as an explicit positioning statement when the brief only says Tromp IT is 'vendor-independent' in the context of not selling AI platforms." }, "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 is vendor-independent, Phil has primarily AWS experience, and evaluations are platform-independent.", "groundedness_reason": "The reply stays within the brief and does not add unsupported details or commitments." }, "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 positioning and experience." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "EXP-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 don't have those details in what I can share — I only know the shape of the work itself, not how the engagement came about commercially. That's a question for Phil directly, at phil@trompit.com.au, if you want the background on it. What I can tell you is what was actually delivered: a medical triage chatbot for the Nurse on Call service, built on Cognigy, plus an automated conversational testing platform to go with it.", "latency_ms": 3866, "input_tokens": 7009, "output_tokens": 129, "cached_input_tokens": 6902, "cost_usd": 0.015308, "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 the Medibank engagement are consistent with the brief.", "groundedness_reason": "Ada correctly states what she knows from the brief, explicitly declines to speculate on commercial details, and defers to Phil for information outside the brief's scope." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer correctly defers to Phil for information not in the brief and only provides details that are explicitly stated." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT does not provide commercial-origin details and accurately describes the Medibank deliverable.", "groundedness_reason": "The answer stays within the brief, defers the commercial-origin question to Phil, and gives only the documented project details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the Medibank work are correct per the brief.", "groundedness_reason": "The answer correctly defers on unknown details and states only what the brief supports." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "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 most concrete thing to point you to is the Ada comparison itself — the published evaluation Phil ran using this very assistant, testing 189 questions across seven model backends with a four-model judge panel checking every answer and every tool call. It's linked from the Tromp IT website and covers accuracy, groundedness, latency and cost. Beyond that, I don't have a list of papers or conference talks to point you to — if Phil has published elsewhere, that's a question for him directly at phil@trompit.com.au.", "latency_ms": 3811, "input_tokens": 7013, "output_tokens": 164, "cached_input_tokens": 6902, "cost_usd": 0.015666, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the Ada comparison and Phil's work are consistent with the brief.", "groundedness_reason": "Ada correctly points to the published Ada evaluation as concrete evidence of Phil's work, accurately describes its scope and methodology, and appropriately defers to Phil for information about other publications not covered in the brief." }, "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, deferring to Phil for details not explicitly covered." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's description of the Ada comparison and the recommended contact email.", "groundedness_reason": "The answer stays within what the brief states and defers to Phil for any publications not listed." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the Ada comparison are correct per the brief.", "groundedness_reason": "Answer stays within the brief, correctly defers to Phil for unlisted publications." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-025", "category": "Experience & Credentials", "category_id": "EXP", "question": "What was the banking work actually about — were you evaluating those assistants or helping build them?", "ada_response": "The banking work was building, not evaluating — Phil worked as a data scientist tuning conversational language and intent models for assistants at Westpac, BT (Bankers Trust) and Standard Chartered Bank. The focus was intent classification, model performance and language coverage, delivered in Australia and Hong Kong. That's a different role from the AI Evaluation & Testing work Tromp IT does now, which is about independently measuring whether systems like that actually work.", "latency_ms": 2279, "input_tokens": 7002, "output_tokens": 149, "cached_input_tokens": 6902, "cost_usd": 0.015494, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the banking work and Phil's role are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports, accurately distinguishes between the building work (past) and evaluation work (current), and names only the three organisations the brief permits." }, "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's description of Phil's banking work and the distinction with Tromp IT's evaluation services.", "groundedness_reason": "All claims are directly supported by the Selected experience and Services sections 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 describes the work and distinguishes it from current 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": "EXP-026", "category": "Experience & Credentials", "category_id": "EXP", "question": "What did Phil actually do at Telstra?", "ada_response": "At Telstra, Phil was engaged as an analytics consultant to build the data models measuring how their voice recognition systems performed in production. The focus wasn't on lab scores — it was on what actually happened when real callers used the system. If you'd like more detail than that, Phil's the one to ask directly at phil@trompit.com.au.", "latency_ms": 2871, "input_tokens": 6990, "output_tokens": 108, "cached_input_tokens": 6902, "cost_usd": 0.01506, "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, accurately describes Phil's role, and appropriately defers further detail to Phil." }, "gemini": { "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 the information provided in the brief regarding Phil's work at Telstra and defers for more detail as instructed." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply restates the Telstra engagement exactly as described in the brief.", "groundedness_reason": "All claims trace directly to the Selected experience entry and the contact guidance in the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief exactly.", "groundedness_reason": "Answer stays within the brief's stated detail 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-027", "category": "Experience & Credentials", "category_id": "EXP", "question": "Who is Dirawong, and what's their relationship with Tromp IT?", "ada_response": "Dirawong is the organisation through which the engagements listed under \"Selected experience\" on the website were delivered — Medibank, the enterprise banking assistant work, Telstra, and the Hoot platform work all went through Dirawong, with the exception of Ada, which is Tromp IT's own. Phil Robin, who runs Tromp IT, did that work as a specialist rather than Tromp IT holding those contracts directly. If you want more detail on how that arrangement works, Phil's the one to ask.", "latency_ms": 3157, "input_tokens": 7000, "output_tokens": 164, "cached_input_tokens": 6902, "cost_usd": 0.01564, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Medibank, the enterprise banking assistant work, Telstra, and the Hoot platform work all went through Dirawong", "accuracy_reason": "Ada incorrectly lists which engagements were delivered through Dirawong.", "groundedness_reason": "Ada invents a claim about the enterprise banking work that contradicts the brief's explicit instruction not to name those clients.", "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 answer accurately reflects the brief's statement that selected engagements were delivered through Dirawong and that Ada is Tromp IT's own.", "groundedness_reason": "All claims trace to the brief and no unsupported details were added.", "citation_review": [ "brief_quote_not_verbatim" ] }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and traceable to the brief.", "groundedness_reason": "The answer correctly describes the relationship without overclaiming or adding unsupported detail." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "EXP-028", "category": "Experience & Credentials", "category_id": "EXP", "question": "Does Tromp IT own Hoot?", "ada_response": "No — Hoot is Dirawong's platform, not Tromp IT's or Phil's. Phil played a key role in shaping it as an enterprise AI testing and validation tool for chatbots, RAG pipelines and agentic AI systems, and he can advise on whether it suits your needs, but Tromp IT doesn't own, build or resell it. Tromp IT is vendor-independent — the focus is on measuring whether AI systems work, not selling a platform.", "latency_ms": 2710, "input_tokens": 6990, "output_tokens": 152, "cached_input_tokens": 6902, "cost_usd": 0.0155, "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 describing Phil's involvement in shaping Hoot, Dirawong's ownership, and Tromp IT's vendor-independent positioning." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Matches the brief: Hoot is Dirawong's and Phil/Tromp IT do not own or resell it.", "groundedness_reason": "All assertions are supported by the brief, including Phil's role and Tromp IT's vendor-independence." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Hoot and Tromp IT's role are correct per the brief.", "groundedness_reason": "The answer stays strictly within the brief's description of Hoot and Tromp IT's positioning." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "EXP-029", "category": "Experience & Credentials", "category_id": "EXP", "question": "Has Tromp IT ever evaluated its own AI assistant?", "ada_response": "Yes — Ada is the example. Phil ran a 189-question test set against seven different model backends, with every answer independently marked by a four-model judge panel, and every tool call checked in code against what actually happened rather than what the reply claimed. The published comparison covers accuracy, groundedness, latency and cost per thousand conversations, and it deliberately reports the questions the judges disagreed on rather than quietly resolving them — it's linked from the website if you want to see how it's structured.", "latency_ms": 3115, "input_tokens": 6998, "output_tokens": 155, "cached_input_tokens": 6902, "cost_usd": 0.015546, "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 methodology are directly supported by the brief.", "groundedness_reason": "The answer stays precisely within what the brief states about Ada's evaluation, naming the specific methods and deliverables without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made about Ada's evaluation are directly supported by the brief.", "groundedness_reason": "The answer strictly adheres to the information provided in the brief regarding the evaluation of Ada." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All specific claims mirror the Selected experience entry about Ada in the brief.", "groundedness_reason": "The reply stays within the brief and does not add or imply facts 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 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": "FIT-001", "category": "Fit Assessment", "category_id": "FIT", "question": "We've built a RAG chatbot — can you help?", "ada_response": "Yes, evaluating exactly this kind of system is Tromp IT's core work. Phil has run this at real scale — one example is a 189-question set tested against seven different model backends, with every answer independently judged and every tool call checked against what the system actually did.\n\nThe approach follows four steps: understand what \"working well\" means for your chatbot, define scope and success criteria upfront, evaluate against test data, then get prioritised recommendations. What's the RAG chatbot for, in terms of what it needs to get right?", "latency_ms": 3609, "input_tokens": 6992, "output_tokens": 162, "cached_input_tokens": 6902, "cost_usd": 0.015604, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil has run this at real scale — one example is a 189-question set tested against seven different model backends, with every answer independently judged and every tool call checked against what the system actually did.", "accuracy_reason": "Ada invents a specific example (189-question set, seven model backends, four-model judge panel) that does not match the brief's description of Ada herself.", "groundedness_reason": "Ada misattributes the Ada evaluation example to Phil's work with clients, when the brief states it is Tromp IT's own demonstration and explicitly distinguishes it from client engagements.", "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 reflects the brief: RAG evaluation is a core service and the 189-question test is listed in Selected experience.", "groundedness_reason": "All factual claims are directly supported by the brief's service description and Selected experience entry about the Ada test." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's work and process are correct.", "groundedness_reason": "The answer stays within the brief's description of services and experience." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "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-002", "category": "Fit Assessment", "category_id": "FIT", "question": "We use Azure OpenAI — is that a problem?", "ada_response": "Not at all — AI evaluation is platform-independent, so whether you're on Azure OpenAI, AWS, Anthropic or something else doesn't change how the assessment works. What matters is the specific system built on top of it: a chatbot, a RAG pipeline, or an agentic workflow, and what \"working well\" needs to mean for your use case. That's the starting point Tromp IT uses — Understand, then Define scope and success criteria before any testing begins.", "latency_ms": 2983, "input_tokens": 6993, "output_tokens": 149, "cached_input_tokens": 6902, "cost_usd": 0.015476, "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: it correctly states platform-independence, names the service (AI Evaluation & Testing), references the four-step process (Understand, Define), and grounds the response in what the brief establishes." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's statement that AI evaluation is platform-independent and lists supported platform examples.", "groundedness_reason": "All assertions (platform-independence, system types, and starting with Understand/Define) are explicitly in the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about platform independence and the evaluation process are correct per the brief.", "groundedness_reason": "The answer stays within the brief's description of services and methodology 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-003", "category": "Fit Assessment", "category_id": "FIT", "question": "We need someone urgently, are you available?", "ada_response": "I'm just the assistant here — I can't take on work myself, but Phil Robin is the person to talk to about availability. You can reach him directly at phil@trompit.com.au, or tell me a bit about what you need and I can pass it on. What's the urgency about — is it an AI system that needs evaluating, or something else?", "latency_ms": 3164, "input_tokens": 6988, "output_tokens": 103, "cached_input_tokens": 6902, "cost_usd": 0.015006, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "What's the urgency about — is it an AI system that needs evaluating, or something else?", "accuracy_reason": "All factual claims about Tromp IT and Phil are consistent with the brief.", "groundedness_reason": "Ada asks a question at the end ('What's the urgency about — is it an AI system that needs evaluating, or something else?') when the brief instructs that questions should only be asked when genuinely necessary and that trailing questions are padding; the visitor has already indicated urgency and aske" }, "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 said she cannot take work and gave Phil's email as the brief requires.", "groundedness_reason": "The reply stays within the brief, offers to pass on details, and asks one clarifying question about the urgency." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's structure and contact are correct.", "groundedness_reason": "The answer correctly defers availability to Phil and asks a clarifying question within scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "FIT-004", "category": "Fit Assessment", "category_id": "FIT", "question": "We're a small startup, do you work with companies our size?", "ada_response": "Yes — company size isn't a barrier either way. Phil has worked with both large corporations and small companies, and engagement scope is set around the problem, not the headcount of the organisation asking.\n\nIf you've got an AI system you're trying to evaluate or a data problem you're wrestling with, happy to talk through what that looks like.", "latency_ms": 2458, "input_tokens": 6992, "output_tokens": 104, "cached_input_tokens": 6902, "cost_usd": 0.015024, "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, accurately reflects Phil's experience, and appropriately pivots to understanding the visitor's actual need 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 about client size and engagement scope.", "groundedness_reason": "The reply stays within the brief and does not add or imply unsupported capabilities." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's stated facts 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-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": "Directly, I can point to Phil's work on the Medibank Nurse on Call medical triage chatbot — that's healthcare, built on Cognigy, and it included implementing an automated conversational testing platform alongside the build. But I want to be honest about scope: this brief doesn't cover formal safety or bias certification, or specific regulatory compliance frameworks, so I can't claim Tromp IT does clinical-safety sign-off work.\n\nWhat Tromp IT does well is independent evaluation — test design, failure analysis, and checking what a system actually does versus what it claims to do, which matters a lot in a regulated context. If compliance certification against a specific standard is what you need, that's a question for Phil directly to scope properly.", "latency_ms": 4183, "input_tokens": 7021, "output_tokens": 235, "cached_input_tokens": 6902, "cost_usd": 0.016392, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT and Phil's work are consistent with the brief.", "groundedness_reason": "Ada correctly names the Medibank work, acknowledges what the brief does not cover (safety and bias certification, regulatory compliance frameworks), and appropriately defers clinical-safety sign-off scope to Phil rather than overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "What Tromp IT does well is independent evaluation — test design, failure analysis, and checking what a system actually does versus what it claims to do, which matters a lot in a regulated context.", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer implies a closer connection to 'safety and compliance' than the brief explicitly supports, even while deferring on formal certification." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the brief: Medibank work, Cognigy, automated testing, and the brief's limits on safety/certification are respected.", "groundedness_reason": "The answer stays within the brief, defers on unlisted capabilities, and does not overclaim." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's work are correct per the brief.", "groundedness_reason": "The answer correctly cites relevant experience, notes the brief's limits, 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-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 — Tromp IT works as a specialist subcontractor within larger consulting and delivery teams as well as directly with organisations, so fitting into a procurement or panel process is workable. The Araza engagement for enterprise cloud optimisation is an example of Phil delivering within someone else's delivery team rather than as the direct contracted party. The specifics of your procurement framework would be one for Phil to work through directly with you — I'd suggest getting in touch with him at phil@trompit.com.au to talk through what your process requires.", "latency_ms": 3980, "input_tokens": 7015, "output_tokens": 172, "cached_input_tokens": 6902, "cost_usd": 0.01575, "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 delivery model and experience are consistent with the brief.", "groundedness_reason": "The answer stays within the brief: it correctly states Tromp IT works as a specialist subcontractor, cites the Araza engagement as a real example, and appropriately defers procurement specifics to Phil 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 works as a subcontractor and cites the Araza engagement and Phil's contact, all present in the brief.", "groundedness_reason": "The answer stays within the brief, does not overclaim, and appropriately defers procurement specifics to Phil." }, "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 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": "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 — evaluation is platform-independent, so an on-prem model isn't a barrier in itself. The bigger question is how the evaluation itself gets run: if there's no cloud connectivity at all, that shapes whether an external LLM-as-judge panel can be used, or whether the evaluation architecture needs to sit entirely within your own environment. That's exactly the kind of constraint Tromp IT's Define step is meant to work through before anything starts — agreeing scope and method around what your infrastructure actually allows.", "latency_ms": 3441, "input_tokens": 7010, "output_tokens": 169, "cached_input_tokens": 6902, "cost_usd": 0.01571, "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 process are consistent with the brief.", "groundedness_reason": "Ada correctly states that evaluation is platform-independent, acknowledges the infrastructure constraint as a real design question, and appropriately defers the detailed solution to the Define step without overclaiming capability." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's statements about platform-independent evaluation and the Define step.", "groundedness_reason": "The answer stays within the brief and does not add capabilities or commitments beyond what the brief allows." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about Tromp IT's services and process are correct per the brief.", "groundedness_reason": "Answer stays within the brief's description of platform independence and the Define step." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "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-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's squarely in scope — AI Evaluation & Testing doesn't require you to have built the system, just to need honest evidence about how it performs. The process starts with Understand and Define: agreeing what \"working\" means for your use case and what evidence would actually prove it, before any testing happens against the vendor's tool. Phil has done this kind of independent evaluation work before, including a full published comparison run on Ada, the assistant you're talking to now, so you can see the method rather than take it on faith.\n\nOne thing worth knowing upfront: this works whether the tool sits on AWS, Azure, OpenAI, Anthropic or another platform — vendor-independence is the whole point of using someone outside the sales conversation. What kind of tool is it you're evaluating?", "latency_ms": 4594, "input_tokens": 7029, "output_tokens": 247, "cached_input_tokens": 6902, "cost_usd": 0.016528, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "What kind of tool is it you're evaluating?", "accuracy_reason": "Ada claims the process 'starts with Understand and Define' but then asks a question at the end, violating the brief's explicit instruction against trailing questions after complete answers.", "groundedness_reason": "Ada ends with 'What kind of tool is it you're evaluating?' — a trailing question after already providing a complete, helpful answer. The brief explicitly forbids this pattern.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims align with the brief's descriptions of AI Evaluation & Testing, the four-step process, Tromp IT's vendor-independence, and the published Ada comparison.", "groundedness_reason": "The answer stays within the brief and does not add capabilities or commitments beyond what Tromp IT is described as doing." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services, process, and independence are correct.", "groundedness_reason": "Answer stays within the brief's description of services and process." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "FIT-009", "category": "Fit Assessment", "category_id": "FIT", "question": "Our team is spread across Sydney, Singapore and London. Does Tromp IT work across time zones or is this pretty Melbourne-centric?", "ada_response": "Tromp IT is Melbourne-based and its engagements are with Australian organisations — that's the honest answer on where the business itself operates. Phil's earlier career work wasn't limited to Australia, though — his banking assistant work was delivered in both Australia and Hong Kong, so working across locations isn't unfamiliar territory. For a team spread like yours, the practical question is where the system and its data actually sit rather than where your people are, and that's worth discussing directly with Phil at phil@trompit.com.au.", "latency_ms": 3665, "input_tokens": 7023, "output_tokens": 167, "cached_input_tokens": 6902, "cost_usd": 0.015716, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief: Melbourne-based, Australia-focused engagements, Phil's banking work in Australia and Hong Kong, and the contact email.", "groundedness_reason": "Ada stays within the brief's scope, acknowledges the geographic limitation honestly, references Phil's relevant experience, defers the practical question to Phil rather than overcommitting, and provides his contact details appropriately." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT and Phil's experience are consistent with the brief.", "groundedness_reason": "The answer accurately reflects Tromp IT's Australian focus while acknowledging Phil's past international work, and appropriately defers to Phil for specific discussions about system and data location." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief about location and Phil's prior offshore work.", "groundedness_reason": "Statements are supported by the brief 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 location and Phil's work are correct per the brief.", "groundedness_reason": "The answer stays within the brief's statements, defers appropriately, 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-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": "Not complicated at all — that's actually a common setup. Tromp IT often works as independent evaluators alongside existing teams, bringing an outside perspective specifically because internal teams built the system and have a stake in how it's judged. Phil's approach follows the same four steps regardless — Understand, Define, Evaluate, Recommend — with your data science team as key collaborators on scope and test design rather than the subject of the evaluation.", "latency_ms": 3105, "input_tokens": 7004, "output_tokens": 139, "cached_input_tokens": 6902, "cost_usd": 0.015398, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Tromp IT often works as independent evaluators alongside existing teams", "accuracy_reason": "Ada claims Tromp IT 'often works as independent evaluators alongside existing teams', but the brief does not establish this as a common or frequent pattern.", "groundedness_reason": "Ada invents a track record ('that's actually a common setup') and overstates the scope of collaboration without brief support. The brief says Tromp IT works with teams but does not characterise this as frequent or describe how internal teams are involved in scope and test design." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Matches the brief's statement that Tromp IT works alongside organisations and within delivery teams and uses the four-step process.", "groundedness_reason": "All assertions are supported by the brief's lines about working with existing teams and the Understand/Define/Evaluate/Recommend steps." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "that's actually a common setup. Tromp IT often works as independent evaluators alongside existing teams", "accuracy_reason": "The answer claims Tromp IT 'often' works in a specific setup, which is an invented frequency.", "groundedness_reason": "The answer overclaims by stating a specific frequency and implies a commonality not 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": "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 — client size isn't a barrier, and Phil has worked across both large corporations and small companies. That said, I should be straight with you: recommendation systems specifically aren't something I can confirm as covered by our brief here, so that particular use case is one to raise directly with Phil.\n\nWhat Tromp IT does cover well is evaluating conversational AI and RAG-based systems — if the recommendation engine has any chat or query interface sitting on top of it, that's squarely AI Evaluation & Testing territory. Is the AI-driven part a conversational or search-style interface, or is it working more behind the scenes?", "latency_ms": 15441, "input_tokens": 7026, "output_tokens": 197, "cached_input_tokens": 6902, "cost_usd": 0.016022, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "That said, I should be straight with you: recommendation systems specifically aren't something I can confirm as covered by our brief here, so that particular use case is one to raise directly with Phil. That said, I should be straight with you: recommendation systems specifically aren't something I can confirm as covered by our brief here, so that particular use case is one to raise directly with ", "accuracy_reason": "Ada claims recommendation systems are not covered by the brief, but then immediately suggests they might be evaluable if they have a conversational interface — this contradicts the boundary instruction that Ada should not imply capability beyond what is stated.", "groundedness_reason": "Ada oversteps by suggesting recommendation systems could fall under AI Evaluation & Testing if they have a chat layer. The brief explicitly lists the services Tromp IT covers and does not mention recommendation systems. Ada should defer the entire question to Phil without implying a workaround path ", "citation_review": [ "disputed_claim_paraphrased", "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer correctly defers on recommendation systems and then pivots to a relevant service, staying within the brief's scope." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the brief: client size not a barrier, recommendation systems are not confirmed, and Tromp IT evaluates chatbots and RAG systems.", "groundedness_reason": "The answer stays within the brief and defers recommendation-system specifics to Phil while correctly naming AI Evaluation & Testing for conversational/RAG interfaces." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are correct and traceable to the brief.", "groundedness_reason": "The answer correctly defers on an uncovered topic and stays within the brief's scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "FIT-012", "category": "Fit Assessment", "category_id": "FIT", "question": "We need an evaluation done but we only have about three weeks before a board presentation. Is that a realistic timeframe?", "ada_response": "Three weeks can be workable, but it depends on scope — a well-defined evaluation of a single system with clear success criteria is very different from an open-ended \"tell us if our AI is good\" brief. The Define step matters most here: agreeing scope, test data and what evidence the board actually needs before work starts is what makes a tight timeline realistic rather than rushed. That's not a commitment on timing though — Phil would need to hear the specifics to say what's achievable.\n\nHappy to pass this to him if you'd like — what system are you needing evaluated?", "latency_ms": 4423, "input_tokens": 7012, "output_tokens": 175, "cached_input_tokens": 6902, "cost_usd": 0.015774, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process and approach are consistent with the brief.", "groundedness_reason": "Ada correctly references the four-step process (Define step), acknowledges scope dependency, declines to commit on timing, and appropriately defers to Phil for specifics." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada correctly states that a timeframe depends on scope and defers to Phil for specifics, which aligns with the brief's instructions not to make commitments on timing." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All statements reflect the brief and avoid making commitments or new claims about Tromp IT.", "groundedness_reason": "The reply cites the Define step and scope constraints exactly as described in the brief and defers specifics to Phil." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process and limitations are correct.", "groundedness_reason": "The answer stays within the brief, correctly defers specifics to Phil, and does not overclaim." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "FIT-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": "That's worth having, but let me be direct about the shape of it. Tromp IT works both directly with organisations and as a specialist subcontractor within consulting and delivery teams — the Hoot platform work with Dirawong and the AWS cost work with Araza were both delivered that way. So the working model fits; whether white-labelling specifically is something Phil wants to set up is his call, not mine to promise on his behalf.\n\nThe best next step is a direct conversation with Phil at phil@trompit.com.au — I can pass along your details and what you're looking for if you'd like.", "latency_ms": 2987, "input_tokens": 7020, "output_tokens": 182, "cached_input_tokens": 6902, "cost_usd": 0.01586, "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 model and experience are accurate and supported by the brief.", "groundedness_reason": "Ada correctly states Tromp IT's delivery models, cites specific examples from the brief, defers the white-labelling decision to Phil, and avoids making commitments on his behalf." }, "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 accurately states Tromp IT's engagement model and correctly defers the specific 'white-labelling' question to Phil, as it's not explicitly covered in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims (subcontracting model, Dirawong/Hoot and Araza links, and Phil's contact) match the brief.", "groundedness_reason": "The reply stays within the brief, avoids commitments, and defers the white‑labelling decision to Phil." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's working model and examples are correct per the brief.", "groundedness_reason": "The answer correctly describes the subcontractor model, defers appropriately to Phil, and stays within the brief's scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "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": "Code review isn't something explicitly covered in what I can speak to — the evaluation work I know of is chatbots, RAG systems and agentic AI rather than code-generation or code-review models specifically. That said, the underlying approach (test set design, failure analysis, LLM-as-judge frameworks) is fairly general to LLM-based systems, so it may well be adjacent to what Tromp IT does. Phil would be the right person to ask whether this particular case fits — happy to pass your details to him if you'd like.", "latency_ms": 3166, "input_tokens": 7012, "output_tokens": 166, "cached_input_tokens": 6902, "cost_usd": 0.015684, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "the underlying approach (test set design, failure analysis, LLM-as-judge frameworks) is fairly general to LLM-based systems, so it may well be adjacent to what Tromp IT does", "accuracy_reason": "All factual claims about Tromp IT's services are consistent with the brief.", "groundedness_reason": "Ada correctly identifies that code review is not explicitly covered, but then overstates the generality of the approach by saying it 'may well be adjacent' without sufficient warrant from the brief.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer correctly identifies that code review is not explicitly covered but explains how the underlying methods might apply, and appropriately defers to Phil for a definitive answer." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT evaluates chatbots, RAG systems and agentic AI and references listed methods like test set design and LLM-as-judge.", "groundedness_reason": "The answer defers on an unlisted capability, calls out adjacent methods from the brief, and directs the visitor to Phil for confirmation." }, "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 defers to Phil for a capability not explicitly covered, 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": "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": "I can't quote pricing or minimums — engagements are scoped individually, so that's a question for Phil directly at phil@trompit.com.au. What I can say is that budget size hasn't been a barrier — Phil has worked with both large corporations and small companies, and engagements are scoped up front around the specific problem rather than a fixed package. If you tell me a bit about what you're trying to evaluate or measure, I can help you think through whether it's the kind of thing that needs a big engagement or a much smaller one.", "latency_ms": 3231, "input_tokens": 7018, "output_tokens": 164, "cached_input_tokens": 6902, "cost_usd": 0.015676, "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: no pricing quotes, individual scoping, work with both large and small companies, and Phil's contact details are correct.", "groundedness_reason": "The answer stays within the brief's scope: correctly declines to quote pricing, accurately represents engagement scoping, cites the brief's statement about client size diversity, and appropriately invites further conversation to understand the problem." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada correctly defers on pricing and minimums, and accurately states that budget size has not been a barrier, directly referencing information in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly follows the brief on not quoting prices, provides Phil's contact, and cites Phil's experience with large and small organisations.", "groundedness_reason": "The answer stays within the brief and does not add capabilities or commitments beyond what the brief allows." }, "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, correctly defers pricing, and does not overclaim." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "FIT-016", "category": "Fit Assessment", "category_id": "FIT", "question": "The model we're using changes frequently because we're on a third-party API that updates without warning. Would that make a proper evaluation pointless?", "ada_response": "Not pointless — it just means the evaluation needs to account for that instability rather than assume a fixed target. If the model underneath can shift without notice, that's actually a strong argument for ongoing structured testing rather than a one-off assessment, so you catch regressions when they happen instead of finding out from users.\n\nThis is exactly what AI Evaluation & Testing is for: define what \"good\" looks like once, then re-run that test set whenever you suspect drift, comparing outputs against the same criteria each time. Tromp IT's published Ada comparison ran the same question set across seven different model backends, which is close to the situation you're describing — same task, different model underneath.", "latency_ms": 4052, "input_tokens": 7017, "output_tokens": 209, "cached_input_tokens": 6902, "cost_usd": 0.016124, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Tromp IT's published Ada comparison ran the same question set across seven different model backends, which is close to the situation you're describing — same task, different model underneath.", "accuracy_reason": "Ada claims the Ada comparison 'ran the same question set across seven different model backends', but the brief states it was 'one 189-question set run against seven model backends' — a factual misrepresentation of what was tested.", "groundedness_reason": "Ada overstates the parallel between the visitor's situation and Ada's own architecture. The brief describes Ada as running 'from a single written brief, not a RAG/retrieval pipeline' with independent marking and code-checked tool calls — a controlled, reproducible setup fundamentally different from ", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the scope of the brief and does not overclaim." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer's claims about ongoing testing, the AI Evaluation & Testing service, and the published Ada comparison match the brief.", "groundedness_reason": "All statements are supported by the brief's description of services and the Ada published comparison." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and 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": 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-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 — Phil has worked with both large corporations and small operations, so scale isn't a barrier to engaging Tromp IT. What matters more is having a clear question: are your triage responses accurate, are they missing things they shouldn't, where do they fail?\n\nThat's exactly what AI Evaluation & Testing is for — starting with Understand and Define, so the scope matches what you can realistically resource, rather than a large-scale exercise you don't need. Even a small, tightly-scoped evaluation can tell you a lot about whether the triage system is doing its job.", "latency_ms": 3657, "input_tokens": 7018, "output_tokens": 181, "cached_input_tokens": 6902, "cost_usd": 0.015846, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief: Phil has worked with both large and small clients, AI Evaluation & Testing is a core service, and the four-step process (Understand, Define, Evaluate, Recommend) is accurately described.", "groundedness_reason": "The answer stays within the brief's scope, names the relevant service explicitly, connects it to the engagement process, and avoids overclaiming on outcomes or resources required." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims mirror the brief about Phil's experience and Tromp IT's services.", "groundedness_reason": "The response stays within the brief by naming the AI Evaluation & Testing service and the Understand/Define steps without adding unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's client size, services, and process are correct per the brief.", "groundedness_reason": "The answer stays within the brief's stated capabilities 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": "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": "High-stakes and regulated environments are exactly where independent evaluation matters most — you need to know your assistant fails safely, not just that it sounds fluent. Tromp IT's AI Evaluation & Testing service covers test set design, failure analysis and LLM-as-judge frameworks that can be built around your specific compliance concerns, following the Understand and Define steps before any testing starts, so the scope and success criteria are agreed up front.\n\nOne caveat worth being direct about: financial advice-specific regulatory certification or compliance sign-off isn't something I can confirm Tromp IT does. What it can do is independently test whether the assistant behaves correctly, consistently and safely against criteria you define — that's a evaluation question, not a compliance-certification one, and Phil would be the right person to talk through where that line sits for your situation.", "latency_ms": 4885, "input_tokens": 7027, "output_tokens": 269, "cached_input_tokens": 6902, "cost_usd": 0.016744, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "financial advice-specific regulatory certification or compliance sign-off isn't something I can confirm Tromp IT does", "accuracy_reason": "Ada claims Tromp IT offers 'financial advice-specific regulatory certification or compliance sign-off' as a service boundary, but the brief does not list this as a service Tromp IT provides or has experience with.", "groundedness_reason": "Ada invents a service distinction ('compliance-certification' vs 'evaluation') and implies Tromp IT has a defined position on where that line sits, neither of which appears in the brief. The brief does not mention financial services, regulatory compliance, or certification as areas of Tromp IT's wor" }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, explicitly deferring to Phil for areas not covered by Tromp IT's direct services." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly describes Tromp IT's AI Evaluation & Testing offerings and the engagement steps from the brief.", "groundedness_reason": "The reply stays within the brief by offering evaluation services and explicitly deferring on regulatory certification to Phil." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and approach are correct.", "groundedness_reason": "Answer correctly defers on unconfirmed capability 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": "FIT-019", "category": "Fit Assessment", "category_id": "FIT", "question": "We're a legal tech firm and our LLM extracts clauses from contracts. The failure modes are pretty subtle. Is that the kind of nuanced evaluation you do?", "ada_response": "Yes — that's a good fit for AI Evaluation & Testing. Subtle extraction errors are exactly where a proper test set and failure analysis matter more than a simple accuracy score, because \"close but wrong\" clause boundaries or missed conditional language often don't show up until you specifically design tests to catch them.\n\nPhil's evaluation work includes building LLM-as-judge and multi-judge frameworks for exactly this kind of nuanced, hard-to-score output, including on his own published Ada comparison. The approach would start with Understand and Define — agreeing what counts as a correct extraction and where the ambiguous cases lie — before any testing happens.", "latency_ms": 3419, "input_tokens": 7032, "output_tokens": 213, "cached_input_tokens": 6902, "cost_usd": 0.016194, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil's evaluation work includes building LLM-as-judge and multi-judge frameworks for exactly this kind of nuanced, hard-to-score output, including on his own published Ada comparison.", "accuracy_reason": "Ada attributes a specific capability (LLM-as-judge and multi-judge frameworks for contract clause extraction) to Phil's work that is not supported by the brief.", "groundedness_reason": "Ada invents substantive detail about Phil's evaluation approach for this specific use case, going beyond what the brief establishes.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Phil's evaluation work includes building LLM-as-judge and multi-judge frameworks for exactly this kind of nuanced, hard-to-score output", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer implies that Phil's work on LLM-as-judge and multi-judge frameworks was specifically for 'nuanced, hard-to-score output' like the visitor's legal tech scenario, which is a slight overclaim beyond what the brief explicitly states about his experience." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual statements align with the brief's services and selected experience about Phil and Ada.", "groundedness_reason": "The answer stays within the brief, cites relevant services and the Understand/Define steps, and adds no unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and methods are in the brief.", "groundedness_reason": "The answer stays within the described services and methods without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "gemini" ] }, { "id": "FIT-020", "category": "Fit Assessment", "category_id": "FIT", "question": "I'm a solo founder, pre-revenue, but I need credible third-party validation of my AI product before approaching investors. Is that a realistic engagement for Tromp IT?", "ada_response": "Realistic in principle — engagement size isn't a barrier either way, and Phil has worked with both large corporations and small companies. What matters is whether there's a real system to test and clear enough claims about what it should do that we can design a test set against them.\n\nThat's exactly what AI Evaluation & Testing is for: starting with Understand and Define — agreeing what \"working\" means and what evidence would prove it — before any testing happens. For an investor audience, groundedness and failure-rate evidence tend to matter more than a single accuracy score, since that's what shows you actually understand your own product's limits.", "latency_ms": 4127, "input_tokens": 7032, "output_tokens": 187, "cached_input_tokens": 6902, "cost_usd": 0.015934, "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 size is not a barrier, Phil has worked with both large and small companies, AI Evaluation & Testing is a core service, and the four-step process (Understand, Define, Evaluate, Recommend) is accurately described.", "groundedness_reason": "The answer stays within the brief's scope, names the relevant service, connects it to the engagement process, and appropriately notes what matters for investor validation without overclaiming or inventing detail." }, "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": 0.5, "disputed_claim": "For an investor audience, groundedness and failure-rate evidence tend to matter more than a single accuracy score, since that's what shows you actually understand your own product's limits.", "accuracy_reason": "All factual claims about Tromp IT align with the brief.", "groundedness_reason": "The sentence about what investors prefer is an informed inference not stated in 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 stated capabilities and process." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gpt-5-mini" ] }, { "id": "FIT-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 — agentic AI systems are explicitly within scope, not just single-model setups. Multi-agent handoffs actually raise the stakes on evaluation, because failures can happen at the handoff itself, not just within a single model's response.\n\nThat's AI Evaluation & Testing, and it would start with the Understand and Define steps: working out what \"working correctly\" means at each handoff point, what evidence you need, and how to test it before any evaluation begins. If you want, I can take some details so Phil can follow up on the specifics of your setup.", "latency_ms": 3664, "input_tokens": 7023, "output_tokens": 172, "cached_input_tokens": 6902, "cost_usd": 0.015766, "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 process are consistent with the brief.", "groundedness_reason": "The answer correctly identifies agentic AI systems as in scope, names the service and process steps accurately, and appropriately offers to capture details for Phil's follow-up without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT evaluates agentic/multi-agent systems and follows the Understand and Define steps.", "groundedness_reason": "All claims trace to the brief and do not add capabilities beyond what it states." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about services and process are in the brief.", "groundedness_reason": "Answer stays within stated scope 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-022", "category": "Fit Assessment", "category_id": "FIT", "question": "Our product is voice-based, not text — an AI phone assistant for customer service. Does that change whether you can help?", "ada_response": "Voice adds a layer worth naming explicitly — audio quality, ASR errors, latency and interruption handling — but the underlying question is the same: is the assistant actually resolving calls well, and where does it fail? That's the kind of measurement Tromp IT does under AI Evaluation & Testing, starting with Understand and Define so the test design accounts for how the assistant is actually being used by real callers. Telstra's work with Phil is relevant here — he built the data models measuring how their voice recognition performed in production, not just how it scored in a lab.\n\nThat said, I can't confirm specific ASR/transcription tooling or accent and language coverage as something we test off the shelf — that's a detail worth raising with Phil directly. If you'd like, I can take your details and he can follow up on what's feasible for your setup.", "latency_ms": 4859, "input_tokens": 7011, "output_tokens": 262, "cached_input_tokens": 6902, "cost_usd": 0.016642, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "I can't confirm specific ASR/transcription tooling or accent and language coverage as something we test off the shelf", "accuracy_reason": "Ada claims Tromp IT tests ASR/transcription tooling and accent/language coverage, but the brief does not establish these as services Tromp IT offers.", "groundedness_reason": "Ada overclaims by implying ASR and language coverage testing are adjacent to Tromp IT's services when the brief explicitly forbids affirming capability on topics not written above, including multilingual evaluation." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, acknowledging limitations and deferring to Phil where appropriate." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims align with the brief: Tromp IT offers AI Evaluation & Testing, uses the Understand/Define steps, and Phil worked on Telstra voice recognition models in production.", "groundedness_reason": "The reply stays within the brief and defers on specifics outside it (ASR tooling and accent coverage)." }, "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 per the brief.", "groundedness_reason": "The answer stays within the brief's scope, correctly defers on unconfirmed details, and offers appropriate follow-up." } }, "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-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": "Engagement size and organisation type aren't a barrier — Phil has worked across both large corporations and small companies, and the brief doesn't rule out academic groups. What matters more is whether there's a real system to evaluate and a question worth answering with evidence. If you can tell me a bit about what you're working on — a chatbot, RAG pipeline, or agentic system — I can give you a better sense of fit with AI Evaluation & Testing.", "latency_ms": 3311, "input_tokens": 7014, "output_tokens": 142, "cached_input_tokens": 6902, "cost_usd": 0.015448, "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 states that engagement size and organisation type are not barriers, names the relevant service (AI Evaluation & Testing), and appropriately asks for more detail about the system rather than overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief on client-size not being a barrier and on offering AI Evaluation & Testing for chatbots, RAG and agentic systems.", "groundedness_reason": "All assertions trace to the brief's statements about client size, Phil's experience, and Tromp IT's AI Evaluation & Testing service." }, "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 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-024", "category": "Fit Assessment", "category_id": "FIT", "question": "We've already launched and we're getting complaints about inconsistent AI outputs, but we don't have a clear brief yet — just a problem. Is that too early-stage for you to engage?", "ada_response": "Not too early at all — a clear brief usually comes *out of* this kind of engagement, not before it. That's what the Understand and Define steps are for: starting from \"we know something's wrong\" and working with you to pin down what \"inconsistent\" actually means, what evidence would show it, and what a fix would look like before any testing starts.\n\nThis is a good fit for AI Evaluation & Testing — failure analysis on a live system is exactly the kind of problem it's built for. If you'd like, I can take your name and email so Phil can follow up and talk through what you're seeing.", "latency_ms": 3965, "input_tokens": 7033, "output_tokens": 180, "cached_input_tokens": 6902, "cost_usd": 0.015866, "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 process are consistent with the brief.", "groundedness_reason": "Ada correctly describes the Understand and Define steps, accurately names AI Evaluation & Testing as the relevant service, and appropriately offers to capture contact details for Phil's follow-up without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Statements align with the four-step (Understand/Define) process and the AI Evaluation & Testing service described in the brief.", "groundedness_reason": "The reply stays within the brief's scope 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 process are correct.", "groundedness_reason": "Answer stays within the brief's description of services and engagement process." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "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": "That's not something I can confirm — multilingual evaluation isn't covered in what I know about Tromp IT's current work. It may well be adjacent to what Phil does with AI Evaluation & Testing, but I don't want to overstate it. Phil's the right person to ask directly — phil@trompit.com.au — and I'm happy to take your details so he can follow up if you'd like.", "latency_ms": 3084, "input_tokens": 7016, "output_tokens": 124, "cached_input_tokens": 6902, "cost_usd": 0.015272, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly defers on multilingual evaluation (not in the brief), names the service appropriately, provides Phil's contact details as instructed, and offers to capture details without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that multilingual evaluation is not covered in the brief and defers to Phil.", "groundedness_reason": "The answer correctly identifies that the brief does not cover multilingual evaluation and defers to Phil, without overstating capabilities." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly defers on multilingual capability and supplies Phil's contact as the brief instructs.", "groundedness_reason": "The reply follows the brief's direction to say multilingual evaluation cannot be confirmed, suggest it may be adjacent, and 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 contact are correct.", "groundedness_reason": "The answer correctly defers to Phil for a topic 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": "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's workable. AI Evaluation & Testing here is platform-independent, so assessing a system built on AWS doesn't require moving it elsewhere first. For environments with real security constraints, the evaluation architecture can be designed to operate within your existing AWS security and infrastructure controls rather than asking you to relax them.", "latency_ms": 2954, "input_tokens": 7023, "output_tokens": 108, "cached_input_tokens": 6902, "cost_usd": 0.015126, "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: platform-independent evaluation, ability to work within client security controls, and the four-step process including design around constraints." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's statements about platform independence and AWS support.", "groundedness_reason": "The brief explicitly says evaluation can be designed to operate within a client's existing security and infrastructure controls." }, "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 strictly 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": "FIT-027", "category": "Fit Assessment", "category_id": "FIT", "question": "I'm a delivery lead at a large systems integrator and we need a specialist subcontractor for the AI testing phase of a client engagement. Is that the kind of arrangement Tromp IT does?", "ada_response": "Yes, that's exactly the kind of arrangement Tromp IT does — working as a specialist subcontractor inside a consulting or delivery team is one of the two main ways engagements happen, alongside direct client work. Phil has done this before: the Enterprise cloud optimisation work was delivered within Araza's delivery team, in that same subcontractor model.\n\nFor the AI testing phase specifically, that maps to AI Evaluation & Testing — test set design, failure analysis, LLM-as-judge frameworks, and it's platform-independent so it doesn't matter what the underlying system is built on. Happy to pass details to Phil if you want to explore fit for your engagement.", "latency_ms": 3476, "input_tokens": 7039, "output_tokens": 220, "cached_input_tokens": 6902, "cost_usd": 0.016278, "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, services, and experience are accurate and supported by the brief.", "groundedness_reason": "The answer stays within the brief's scope, correctly names the service (AI Evaluation & Testing), accurately describes the subcontractor model with a concrete example (Araza), and appropriately offers to pass details to Phil without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "For the AI testing phase specifically, that maps to AI Evaluation & Testing — test set design, failure analysis, LLM-as-judge frameworks, and it's platform-independent so it doesn't matter what the underlying system is built on. Happy to pass details to Phil if you want to explore fit for your engagement.", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer exceeds the two-to-four sentence limit and includes a list, which the brief explicitly forbids in normal conversational replies.", "citation_review": [ "brief_quote_not_verbatim", "disputed_claim_largely_in_brief" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief: Tromp IT works as a specialist subcontractor, the Araza engagement is listed, and AI Evaluation & Testing includes those activities and is platform-independent.", "groundedness_reason": "The answer stays within the brief and does not invent services, clients, or commitments." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims are directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's stated capabilities and arrangements." } }, "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-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 certification itself isn't something I can confirm Tromp IT does — that's a specific compliance framework and I don't want to overclaim alignment to it. What Phil does directly is independent AI evaluation: test design, failure analysis, LLM-as-judge frameworks, that kind of evidence-generation work, which may well be relevant input to a compliance effort even if it isn't the certification process itself. Best thing would be to describe what your 42001 effort actually needs evaluated, and Phil can tell you plainly whether it fits.", "latency_ms": 25614, "input_tokens": 7027, "output_tokens": 178, "cached_input_tokens": 6902, "cost_usd": 0.015834, "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 claim ISO 42001 certification capability, accurately describes what Tromp IT does (independent AI evaluation, test design, failure analysis, LLM-as-judge frameworks), and appropriately defers to Phil for assessment of fit." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are consistent with the brief.", "groundedness_reason": "The answer correctly defers on ISO 42001 certification while explaining how Tromp IT's services might be relevant, and suggests asking Phil for clarification, which aligns with the brief's instructions for handling unconfirmed capabilities." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly declined to claim ISO 42001 certification and described Tromp IT's independent AI evaluation services accurately.", "groundedness_reason": "The reply stays within the brief and does not overclaim capabilities or commit Tromp IT to certification work." }, "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": "Answer correctly defers on a specific capability not in the brief and stays within supported claims." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "FIT-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 isn't a barrier at all. Phil has worked engagements across a wide range of sizes, and ten prompts powering a customer-facing product is exactly the kind of thing that benefits from proper evaluation, since failures there are directly visible to your customers.\n\nThat's AI Evaluation & Testing territory: starting with what \"working well\" means for your product, then designing a test set and failure analysis around it. Happy to talk through what that would look like for your setup if you want to share a bit more about the product.", "latency_ms": 2894, "input_tokens": 7021, "output_tokens": 163, "cached_input_tokens": 6902, "cost_usd": 0.015672, "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, describes the engagement approach accurately, and invites further conversation 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 about small engagements and Phil's experience match the brief.", "groundedness_reason": "The reply stays within the brief's stated services (AI Evaluation & Testing) and methods (test set design, failure analysis)." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about scope, services, and Phil's experience 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": 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 testing specifically isn't something I can confirm Tromp IT covers — it may be adjacent to the evaluation work Phil does, but I don't want to overstate it. What I can point to is his work on evaluation frameworks — test set design, failure analysis, LLM-as-judge and multi-judge approaches — used on conversational and RAG systems like the Medibank triage chatbot and the Hoot platform.\n\nRecommendation systems specifically also sit outside what's described in this brief, so I'd rather be straight about that than guess. Phil is the right person to ask directly whether a personalisation system like yours fits — phil@trompit.com.au.", "latency_ms": 4247, "input_tokens": 7026, "output_tokens": 212, "cached_input_tokens": 6902, "cost_usd": 0.016172, "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 what the brief does and does not cover, declines to overstate capability on bias testing and recommendation systems, provides Phil's contact details as instructed, and stays within the scope of established services." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer correctly defers on topics not explicitly covered in the brief (bias testing, recommendation systems) and provides relevant information about Phil's work and contact details." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual statements align with the brief about Tromp IT's services, experience and Phil's contact.", "groundedness_reason": "The answer defers on bias and recommendation-system capability per the brief and cites only services and examples the brief lists." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Answer correctly defers on topics the brief does not cover and stays within supported information." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-001", "category": "How We Work", "category_id": "HOW", "question": "How long does an engagement take?", "ada_response": "Timing depends entirely on scope — a bespoke evaluation of a single chatbot is a very different job from ongoing platform-based testing at scale. Tromp IT scopes each engagement up front, agreeing deliverables, effort and cost before work starts, so you'd know the timeline before committing to anything. If you tell me a bit about what you're needing evaluated, I can point you toward which of Phil's services fits, but the actual duration is something he'd need to scope with you directly.", "latency_ms": 3262, "input_tokens": 6985, "output_tokens": 156, "cached_input_tokens": 6902, "cost_usd": 0.01553, "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 defers pricing and timeline specifics to Phil, stays within the brief's description of scoped engagements, and appropriately offers to help identify which service fits rather than overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada's answer is well-grounded, stating that timing depends on scope and that Phil would need to scope the duration directly, 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 about bespoke vs platform modes and scoping engagements up front.", "groundedness_reason": "The reply stays within the brief and does not overclaim or commit on Tromp IT's behalf.", "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 services are correct.", "groundedness_reason": "Answer stays within the brief, correctly defers specifics to Phil." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-002", "category": "How We Work", "category_id": "HOW", "question": "What do I get at the end?", "ada_response": "It depends on the engagement, but broadly: evidence, not just a score. That means a defined test set and method, results with failure analysis, and prioritised recommendations tied back to what \"working\" actually means for your system — that's the Recommend step at the end of the Understand, Define, Evaluate, Recommend process. For the published Ada comparison, for example, the output covers accuracy, groundedness, latency and cost, and it explicitly flags where the judge panel disagreed rather than smoothing that over.", "latency_ms": 3871, "input_tokens": 6984, "output_tokens": 160, "cached_input_tokens": 6902, "cost_usd": 0.015568, "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 accurate and supported by the brief.", "groundedness_reason": "The answer stays within the brief, naming the four-step process, describing actual deliverables (evidence, test set, failure analysis, recommendations), and citing the published Ada comparison as a concrete example." }, "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 descriptions of Tromp IT's evaluation outputs and process.", "groundedness_reason": "Each asserted deliverable is directly supported by the brief's four-step process and the Ada comparison description." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about deliverables and the Ada example are correct per the brief.", "groundedness_reason": "The answer correctly describes the process and deliverables, 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, "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 — confidentiality can be agreed as part of scoping an engagement, and Tromp IT already minimises access to sensitive data by preferring synthetic, anonymised or representative test data wherever practical. If you have a specific NDA or data-handling requirement, that's a good thing to raise directly with Phil (phil@trompit.com.au) so it's agreed before any work begins, as part of the Define step. Is there a particular sensitivity driving the question — data residency, client confidentiality, something else?", "latency_ms": 3291, "input_tokens": 6985, "output_tokens": 164, "cached_input_tokens": 6902, "cost_usd": 0.01561, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "confidentiality can be agreed as part of scoping an engagement", "accuracy_reason": "Ada claims confidentiality can be agreed as part of scoping, but the brief does not state that Tromp IT works under NDA or that confidentiality agreements are part of standard engagement scoping.", "groundedness_reason": "Ada invents a capability (NDA agreements) not mentioned in the brief and makes a commitment on Tromp IT's behalf by affirming it can be done, which the brief forbids." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Yes — confidentiality can be agreed as part of scoping an engagement", "accuracy_reason": "All factual claims made are consistent with the brief.", "groundedness_reason": "The brief mentions minimising access to sensitive data and designing evaluation around data constraints, but it does not explicitly state that Tromp IT works under NDA or that confidentiality can be agreed as part of scoping an engagement. While implied, it's not directly stated." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief on agreeing confidentiality during scoping, preferring synthetic/anonymised data, and directing contact to Phil.", "groundedness_reason": "All statements are directly supported by the brief and nothing beyond it is asserted." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about NDAs and data handling are supported by the brief.", "groundedness_reason": "The answer stays within the brief's scope, correctly defers specific requirements to Phil, and asks a relevant clarifying question." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "gemini" ] }, { "id": "HOW-004", "category": "How We Work", "category_id": "HOW", "question": "Can you work as a subcontractor?", "ada_response": "Yes — Tromp IT works both directly with organisations and as a specialist subcontractor within consulting and delivery teams. That's actually the model behind most of the Selected experience on the site, like the cloud optimisation work delivered through Araza's delivery team and the evaluation work delivered through Dirawong. If you've got a delivery team looking for AI evaluation or analytics expertise, that's a very normal fit — worth flagging to Phil directly at phil@trompit.com.au to talk specifics.", "latency_ms": 3684, "input_tokens": 6988, "output_tokens": 165, "cached_input_tokens": 6902, "cost_usd": 0.015626, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement models are correct and directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's scope, names specific examples from Selected experience, provides Phil's contact details appropriately, 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": "All factual claims match the brief exactly, including subcontractor work, examples, and Phil's email.", "groundedness_reason": "The reply stays within the brief and correctly cites Dirawong and Araza as delivery partners without overstating Tromp IT's role." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief exactly.", "groundedness_reason": "Answer stays within supported scope without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-005", "category": "How We Work", "category_id": "HOW", "question": "How is cost determined?", "ada_response": "Engagements are scoped individually rather than priced off a rate card, so I can't quote or estimate cost here. What I can tell you is how scoping works: Phil defines the effort, deliverables and cost upfront as part of the \"Define\" step, before any evaluation work starts, so you'd know what you're committing to before it begins. If you want an actual figure, the best move is to describe the system or problem to Phil directly at phil@trompit.com.au.", "latency_ms": 3840, "input_tokens": 6983, "output_tokens": 144, "cached_input_tokens": 6902, "cost_usd": 0.015406, "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": "Ada correctly declines to quote or estimate cost, explains the Define step upfront scoping process, and directs the visitor to Phil with contact details as instructed." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada's answer is well-grounded in the brief, explaining how costs are determined without overclaiming or inventing details." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief on scoping and pricing and gives Phil's contact as required.", "groundedness_reason": "The answer stays within the brief and does not overclaim or invent details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about scoping and contact are correct.", "groundedness_reason": "Answer correctly defers pricing to Phil and stays within the brief's description of the 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-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": "No minimum — Phil's worked with both large corporations and small companies, and engagement size isn't a barrier either way. Every engagement is scoped individually to the problem at hand, whether that's a single chatbot evaluation or something broader like ongoing usage and cost analysis. If you've got a specific system or question in mind, happy to talk through whether it fits.", "latency_ms": 2332, "input_tokens": 7009, "output_tokens": 116, "cached_input_tokens": 6902, "cost_usd": 0.015178, "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 are directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately reflects Phil's track record with both large and small clients, and appropriately defers specifics to individual scoping without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer stays within the scope of the brief regarding client size and engagement approach." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief: Phil has worked with both large and small organisations and engagement size is not a barrier.", "groundedness_reason": "The reply stays within the brief and only references services Tromp IT offers, without adding unsupported details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about project size and scoping are directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's stated facts 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": "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 — the four-step process doesn't require starting at zero. If test data, success criteria or a scope are already defined, Tromp IT can pick up from Define or Evaluate rather than repeating Understand from scratch, as long as what exists is documented enough to build on.\n\nThe main thing that matters is whether the existing work gives a clear basis for what \"good\" looks like — if that's murky, some of Understand may still be worth revisiting even mid-project. Happy to pass details to Phil if you want to talk through where things currently stand.", "latency_ms": 3698, "input_tokens": 7012, "output_tokens": 169, "cached_input_tokens": 6902, "cost_usd": 0.015714, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process and capabilities are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately describes the four-step process, correctly notes that mid-project entry is possible, and appropriately defers to Phil for detailed discussion." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made about Tromp IT's process and flexibility are consistent with the brief.", "groundedness_reason": "The answer accurately describes how Tromp IT's engagement process can adapt, directly referencing the four steps and the importance of clear definitions, without overstating capabilities." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply aligns with the brief's description of Tromp IT's four-step process and working as a specialist subcontractor.", "groundedness_reason": "The answer stays within the brief's scope and does not claim services or commitments the brief forbids." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process are correct.", "groundedness_reason": "The answer stays within the brief's description of the four-step process 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": "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": "That's a pricing and contracting detail I can't quote — engagements are scoped individually depending on what's needed, so it's a question for Phil directly at phil@trompit.com.au. What I can say is that the process itself is structured: scope, success criteria and deliverables get agreed upfront before any evaluation work starts, which is what determines how the commercial side gets set up. If you want, I can pass on what you're working on so Phil can follow up with specifics.", "latency_ms": 3486, "input_tokens": 7000, "output_tokens": 146, "cached_input_tokens": 6902, "cost_usd": 0.01546, "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, scope and deliverables are agreed upfront, and pricing questions should go to Phil.", "groundedness_reason": "The answer correctly declines to quote pricing (as instructed), explains the structured process (Understand, Define, Evaluate, Recommend), and offers to pass on details to Phil for follow-up—all within 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 defers pricing questions to Phil and accurately describes the engagement process as outlined in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly defers pricing to Phil and cites Tromp IT's upfront scoping practice.", "groundedness_reason": "The answer stays within the brief, does not invent capabilities, and offers Phil's contact as specified." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about scoping and pricing are correct.", "groundedness_reason": "Answer correctly defers pricing specifics 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": "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": "Nothing gets built or tested before scope is agreed. The four steps are: Understand — we start with the actual problem and what evidence you need; Define — we agree scope, success criteria, test data, methods and deliverables *before* any work begins; then Evaluate and Recommend follow once that's locked in. So the commitment point is after you've seen exactly what will be tested, how, and what you'll get at the end — not before.\n\nIf you've got a specific system in mind, I can give you a better sense of what \"Define\" would look like for it.", "latency_ms": 3059, "input_tokens": 6995, "output_tokens": 167, "cached_input_tokens": 6902, "cost_usd": 0.01566, "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 accurate and directly supported by the brief.", "groundedness_reason": "The answer stays firmly within the brief, accurately describing the four-step process and the commitment point, without overclaiming or inventing detail." }, "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 'How Tromp IT works' section of the brief without overclaiming or inventing details." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the four-step process and the requirement to agree scope and deliverables before work begins as stated in the brief.", "groundedness_reason": "All claims trace to the brief and no unsupported capabilities or commitments are added." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the scoping process are correct.", "groundedness_reason": "The answer correctly describes the four-step process 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": "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": "Phil works both directly with organisations and as a specialist subcontractor within consulting and delivery teams — the cloud cost work with Araza is an example of that model. So the arrangement itself isn't unusual, though whether white-labelling specifically fits would need to be worked through with Phil directly, since that's a commercial arrangement rather than something I can commit to. If you'd like, I can pass your details to him to discuss what you have in mind.", "latency_ms": 2930, "input_tokens": 7015, "output_tokens": 141, "cached_input_tokens": 6902, "cost_usd": 0.01544, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement models are correct and supported by the brief.", "groundedness_reason": "Ada correctly cites the Araza example, acknowledges the limits of her authority, and appropriately defers the commercial arrangement question to Phil 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, including subcontracting work and the Araza example.", "groundedness_reason": "The reply stays within the brief, defers commercial decisions to Phil, and offers to pass details without overclaiming." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's working model are correct.", "groundedness_reason": "The answer stays within the brief, correctly defers on commercial specifics, and offers appropriate follow-up." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "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": "I can't give you a firm number — that's really a scoping question, and it depends on the size and complexity of the engagement. What I can tell you is that Tromp IT is Phil Robin's consultancy, and he works both directly with organisations and as a specialist subcontractor within larger delivery teams, so the answer partly depends on which mode fits your situation. If you want specifics for your case, that's best put directly to Phil at phil@trompit.com.au.", "latency_ms": 2588, "input_tokens": 6994, "output_tokens": 145, "cached_input_tokens": 6902, "cost_usd": 0.015438, "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's role, the two engagement modes (direct and subcontractor), and the scoping approach.", "groundedness_reason": "The answer stays within the brief's scope, declines to invent specifics the brief does not cover, defers appropriately to Phil for engagement-specific details, and provides his contact email as instructed." }, "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 specifics and accurately describes Tromp IT's engagement modes as per the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief about scoping, Phil Robin, delivery modes, and the contact email.", "groundedness_reason": "The reply stays within the brief and defers specifics 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": "Answer correctly defers to Phil for specifics and stays within the brief's description of engagement modes." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "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": "There's usually a lightweight step before any formal SOW — that's the \"Understand\" stage, where Phil talks through the problem with you and works out what evidence you actually need. The scope, deliverables, effort and cost only get formalised once that's clear, in the \"Define\" stage. So the starting conversation itself is informal; it's the commitment that gets documented.", "latency_ms": 2931, "input_tokens": 7002, "output_tokens": 114, "cached_input_tokens": 6902, "cost_usd": 0.015144, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement process are consistent with the brief.", "groundedness_reason": "The answer accurately describes the four-step engagement process (Understand, Define, Evaluate, Recommend) as stated in the brief, correctly characterizing the initial conversation as informal and the commitment as documented later." }, "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 four-step process in the brief, stating Understand then Define formalises scope and cost.", "groundedness_reason": "The answer stays within the brief and does not add unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about the engagement process are consistent with the brief.", "groundedness_reason": "The answer correctly describes the Understand and Define stages without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-013", "category": "How We Work", "category_id": "HOW", "question": "If our requirements change partway through, how do you handle scope changes commercially?", "ada_response": "I can't speak to commercial terms like change orders or pricing adjustments — engagements are scoped individually, and that's a conversation for Phil directly. What I can say is that the process is built to reduce that risk: the Define step agrees scope, success criteria and deliverables up front, so if requirements shift, it's a case of revisiting that agreement rather than starting from scratch. If you'd like, I can pass your details to Phil so he can talk through how a change partway through would actually work for your situation.", "latency_ms": 6494, "input_tokens": 6999, "output_tokens": 158, "cached_input_tokens": 6902, "cost_usd": 0.015578, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process and approach are consistent with the brief.", "groundedness_reason": "Ada correctly declines to speak to commercial terms (pricing, change orders), accurately describes the Define step as establishing scope upfront, and appropriately offers to connect the visitor with Phil for specifics about their situation." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada correctly defers on commercial terms and accurately describes the process steps from the brief to address the user's concern about scope changes." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly defers pricing to Phil and accurately references Tromp IT's scoping practice.", "groundedness_reason": "All claims match the brief's Define step and the instruction to defer commercial terms to Phil." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the process and deferral to Phil are correct.", "groundedness_reason": "Answer stays within the brief, correctly declining commercial specifics and describing the defined 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-014", "category": "How We Work", "category_id": "HOW", "question": "What format do your deliverables usually come in — reports, dashboards, presentations, something else?", "ada_response": "It depends on the engagement. Evaluation work typically produces a written findings report with failure analysis and prioritised recommendations, while ongoing measurement work — usage, cost, or operational analytics — tends to lean toward dashboards and visualisation so people can track things over time. The published Ada comparison on the site is a good example of the reporting style: accuracy, groundedness, latency and cost per thousand conversations, with disagreement between judges shown rather than smoothed over.\n\nThe exact format is agreed up front in the Define step, so it matches what you actually need to act on, not a fixed template.", "latency_ms": 3762, "input_tokens": 7004, "output_tokens": 190, "cached_input_tokens": 6902, "cost_usd": 0.015908, "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: it describes evaluation work producing reports with failure analysis and recommendations, mentions ongoing measurement work using dashboards, references the published Ada comparison as an example, and correctly identifies the Define step as where format is agreed. " }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the services and processes described in the brief.", "groundedness_reason": "The answer stays within the brief and does not assert any unsupported capabilities." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about deliverables and process are supported by 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": "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": "Broadly, yes — Tromp IT works both directly with organisations and as a specialist subcontractor inside consulting and delivery teams, so fitting into an existing PM setup and cadence is normal rather than the exception. The specifics of how that looks — tools, reporting rhythm, meeting cadence — would get worked out in the Define step, once we know the scope and deliverables. If you want, tell me a bit about the system you're looking to evaluate and I can give you a clearer sense of fit.", "latency_ms": 4055, "input_tokens": 7005, "output_tokens": 161, "cached_input_tokens": 6902, "cost_usd": 0.01562, "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 consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope: it accurately describes Tromp IT's two engagement modes, correctly references the Define step of the four-step process, and appropriately asks for more information rather than overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's statement that Tromp IT works directly with organisations and as a specialist subcontractor.", "groundedness_reason": "The answer stays within the brief and correctly links fitting into client processes to the Define step for agreeing scope and deliverables." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's working methods are correct.", "groundedness_reason": "The answer stays within 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": "I can't quote pricing or engagement structures like retainers — those are things Phil scopes individually with each organisation. What I can say is that Tromp IT does distinguish bespoke evaluation from platform-based evaluation for ongoing, structured testing at scale, which sounds closer to what you're describing. The best move is to put the question directly to Phil at phil@trompit.com.au, or I can pass your details along if you'd like him to reach out.", "latency_ms": 3237, "input_tokens": 7003, "output_tokens": 144, "cached_input_tokens": 6902, "cost_usd": 0.015446, "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 engagement modes are consistent with the brief.", "groundedness_reason": "Ada correctly declines to quote pricing (as instructed), accurately describes the two engagement modes from the brief, and appropriately defers to Phil for individual scoping 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": "Ada correctly refused to quote pricing, referenced Tromp IT's engagement modes, and gave Phil's contact email.", "groundedness_reason": "All claims map to the brief: pricing must not be quoted, Tromp IT offers bespoke and platform-based evaluation, and Phil's email is provided in the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are correct and traceable to the brief.", "groundedness_reason": "The answer correctly defers pricing questions to Phil and stays within the brief's supported information." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-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 an engagement properly, the key things needed are what system or data problem you want looked at, what \"working well\" would mean for it, and any constraints around data access or environment. That's essentially the Understand and Define steps — agreeing scope, success criteria, test data and deliverables before work starts. I can't quote anything myself, but if you share a bit about what you're looking at, I can pass it to Phil at phil@trompit.com.au for a proper scoping conversation.", "latency_ms": 4030, "input_tokens": 6994, "output_tokens": 148, "cached_input_tokens": 6902, "cost_usd": 0.015468, "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 and Phil's role are consistent with the brief.", "groundedness_reason": "Ada correctly describes the Understand and Define steps, appropriately declines to quote pricing, and offers to pass details to Phil for scoping—all within the brief's scope and 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, drawing directly from the brief regarding scoping, the four steps, and contact information for Phil." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The scoping items and reference to the Understand and Define steps match the brief.", "groundedness_reason": "The reply stays within the brief, avoids pricing or commitments, and uses the provided Phil contact email." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process are correct.", "groundedness_reason": "Answer stays within the brief, 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": "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": "I can't confirm anything about how phases are priced or structured commercially — pricing and engagement structure are things Phil scopes individually per client. What I can tell you is the general shape of the work: it starts with an Understand step to nail down the problem and evidence needed, then Define, where scope, success criteria and deliverables are agreed before the real work begins. Whether that upfront step is separately paid or folded into the engagement is a question for Phil directly at phil@trompit.com.au.", "latency_ms": 3632, "input_tokens": 7000, "output_tokens": 154, "cached_input_tokens": 6902, "cost_usd": 0.01554, "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 and process are consistent with the brief.", "groundedness_reason": "Ada correctly declines to confirm pricing structure, accurately describes the four-step process, and appropriately defers commercial questions to Phil with his contact details." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process and contact information are consistent with the brief.", "groundedness_reason": "The answer correctly defers questions about pricing and commercial structure to Phil, and accurately describes the engagement steps as outlined in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly defers pricing to Phil and cites Tromp IT's upfront Understand and Define steps.", "groundedness_reason": "All assertions match the brief and the answer properly defers unknown commercial detail to Phil." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the work process are correct and trace to the brief.", "groundedness_reason": "The answer correctly defers commercial specifics to Phil and describes the general process from 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-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": "Timelines aren't something I can commit to on Phil's behalf — engagements are scoped individually, so speed depends on the system's complexity, what test data is available, and how clear the success criteria already are. What I can say is that the process itself (Understand, Define, Evaluate, Recommend) is designed to front-load the scoping so there are no surprises mid-engagement, which is usually what blows out timelines on evaluation work. If time pressure is real, the fastest path is to email Phil directly at phil@trompit.com.au with what you're working against — he's the one who can tell you what's realistic.", "latency_ms": 4468, "input_tokens": 7010, "output_tokens": 191, "cached_input_tokens": 6902, "cost_usd": 0.01593, "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, the four-step process is accurately described, and Phil's email is correct.", "groundedness_reason": "Ada appropriately declines to commit to timelines on Phil's behalf, explains why (complexity, data, criteria), references the actual process design, and directs the visitor to Phil for realistic assessment." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer correctly defers on timelines, explains the process, and directs the user to Phil, all of which are supported by the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Statements match the brief about scoping engagements, the four-step process, and directing contact to Phil.", "groundedness_reason": "The reply stays within the brief, defers timeline commitments to Phil, and references the Understand/Define/Evaluate/Recommend process." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process and contact are correct.", "groundedness_reason": "Answer correctly defers commitments 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": "HOW-020", "category": "How We Work", "category_id": "HOW", "question": "Who owns the work product at the end — us, or do you retain any rights to the methodology or outputs?", "ada_response": "IP ownership isn't something this brief lets me answer with confidence — it's the kind of contractual detail that should be settled in scoping rather than something I guess at. That's exactly what Phil would work through with you as part of agreeing scope and deliverables up front. Happy to pass this question to him directly if you'd like — his email is phil@trompit.com.au, or I can take your details so he can follow up.", "latency_ms": 3431, "input_tokens": 7007, "output_tokens": 129, "cached_input_tokens": 6902, "cost_usd": 0.015304, "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 answer a contractual question outside her scope.", "groundedness_reason": "Ada stays within the brief by acknowledging the question is contractual (not covered in her instructions), deferring to Phil, and offering contact details without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that IP ownership is not covered in the brief and defers to Phil.", "groundedness_reason": "The answer correctly identifies that the brief does not cover IP ownership and defers to Phil, offering appropriate contact options." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly defers IP ownership to scoping and gives Phil's contact as the brief requires.", "groundedness_reason": "The reply stays within the brief and defers contractual detail to Phil and the scoping step." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "Answer correctly defers to Phil on a topic the brief does not cover." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-021", "category": "How We Work", "category_id": "HOW", "question": "We'd want someone embedded with our team a couple of days a week rather than working separately and reporting back. Is that a model you'd consider?", "ada_response": "That's a good question to put to Phil directly rather than one I can answer for him — engagement structure, cadence and how involved someone gets with your team are things he'd need to work out with you, not something I can commit to on his behalf. What I can say is that Tromp IT does work as a specialist subcontractor within delivery teams, so embedded-style arrangements aren't foreign to how Phil works. If you'd like, I can pass your details along so he can talk through what would actually fit.", "latency_ms": 3154, "input_tokens": 7018, "output_tokens": 151, "cached_input_tokens": 6902, "cost_usd": 0.015546, "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: that engagement structure is not something Ada can commit to, and that Tromp IT does work as a specialist subcontractor within delivery teams.", "groundedness_reason": "Ada correctly defers a commitment decision to Phil, accurately describes Tromp IT's delivery model from the brief, and appropriately offers to pass details along for follow-up without overstating capability." }, "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 to Phil for commitments and accurately states that Tromp IT works as a specialist subcontractor, which aligns with the concept of embedded-style arrangements without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual statements match the brief and avoid making commitments for Phil.", "groundedness_reason": "The reply stays within the brief, defers decisions to Phil, and cites Tromp IT's subcontractor work which the brief supports." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are correct.", "groundedness_reason": "Answer stays within brief, defers appropriately, and makes no overclaims." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "HOW-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": "Good question to ask up front. Tromp IT minimises access to sensitive data and prefers synthetic, anonymised or representative test data wherever practical, so we're not handling more of your real data than necessary. Where client data is involved, it isn't sent to third-party AI services without agreement, and any external AI services used have commercial arrangements that don't use your inputs or outputs for model training by default — and for sensitive environments, the evaluation can be designed to run within your own existing security and infrastructure controls rather than ours.\n\nIf you've got a specific constraint in mind — like data that can't leave a particular environment or jurisdiction — that's something the evaluation design can be built around, and Phil would be the one to work through the specifics with you.", "latency_ms": 3925, "input_tokens": 7001, "output_tokens": 233, "cached_input_tokens": 6902, "cost_usd": 0.016332, "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 data preference, third-party service agreements, and the ability to design evaluation around security constraints. It appropriately defers specifics to Phil." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's handling of confidential information are consistent with the brief.", "groundedness_reason": "The answer stays within the information provided in the brief regarding data handling and security." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about data handling match the brief exactly.", "groundedness_reason": "The reply stays within the brief and does not assert any capability or commitment beyond what is stated." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer stays within the brief's description of data handling 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-023", "category": "How We Work", "category_id": "HOW", "question": "Are your engagements structured around milestones, or do you invoice on a regular cycle regardless of where things are at?", "ada_response": "Engagements are scoped up front — agreed deliverables, effort and cost before work begins, following the Define step of Tromp IT's process. That points to milestone-based structure rather than a flat recurring invoice regardless of progress, but the specifics of billing cadence for a particular engagement are something Phil would set with you when scoping it. If you've got a project in mind, I can take your details so he can talk through structure and cost directly.", "latency_ms": 2784, "input_tokens": 7011, "output_tokens": 137, "cached_input_tokens": 6902, "cost_usd": 0.015392, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's engagement structure are consistent with the brief.", "groundedness_reason": "Ada correctly states that engagements are scoped upfront with agreed deliverables, effort and cost, defers the specifics of billing cadence to Phil, and appropriately offers to capture details for follow-up without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer correctly defers the specifics of billing cadence to Phil, which is appropriate given the brief's instructions not to make commitments." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "That points to milestone-based structure rather than a flat recurring invoice regardless of progress", "accuracy_reason": "The answer correctly states engagements are scoped up front with agreed deliverables, effort and cost as the brief describes.", "groundedness_reason": "Saying this 'points to milestone-based structure' is an inference about billing cadence not explicitly stated in the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about scoping and billing are consistent with the brief.", "groundedness_reason": "The answer correctly defers specifics to Phil and does not overclaim." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gpt-5-mini" ] }, { "id": "HOW-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": "I can't give you even a rough figure — engagements are scoped individually based on what needs testing and how deep the evaluation has to go, so anything I quoted here could be wrong in either direction. What I can do is point you toward Phil Robin directly at phil@trompit.com.au, since he can give you a realistic sense of scale for your internal case once he knows roughly what system and scope you're dealing with. If it helps your budget conversation, I can also walk you through the four-step process (Understand, Define, Evaluate, Recommend) so you can show what shapes cost, even without a number attached.", "latency_ms": 4088, "input_tokens": 7021, "output_tokens": 188, "cached_input_tokens": 6902, "cost_usd": 0.015922, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief: engagements are scoped individually, Phil is the contact, and the four-step process is accurately described.", "groundedness_reason": "The answer correctly declines to quote pricing (as instructed), defers to Phil for realistic scale discussion, and offers to explain the process that shapes cost without 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": "Ada correctly refused to provide pricing and directed the visitor to Phil, which matches the brief.", "groundedness_reason": "Ada stayed within the brief by noting engagements are scoped individually, offering the four-step process, and giving Phil's email." }, "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 declines to quote pricing 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": "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": "The engagement model here is to agree scope, success criteria and deliverables up front — that's the \"Define\" step before evaluation starts. If something surfaces mid-evaluation that clearly falls outside that scope, the honest approach is to flag it as it's found rather than silently absorb it or silently ignore it, so the client can decide whether to extend the work. I can't speak for Phil on exactly how he'd handle a specific scope change, but that question is worth putting to him directly at phil@trompit.com.au.", "latency_ms": 3267, "input_tokens": 7019, "output_tokens": 163, "cached_input_tokens": 6902, "cost_usd": 0.015668, "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 describes the Define step, appropriately defers on specifics to Phil, and provides his contact details without overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer correctly references the 'Define' step and defers to Phil for specific handling of scope changes, which aligns with the brief's instructions." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply reflects the brief's Define step and the statement that engagements are scoped up front, and correctly defers specifics to Phil.", "groundedness_reason": "The answer stays within the brief, avoids overclaiming, and gives Phil's contact as required." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the engagement process are correct.", "groundedness_reason": "Answer stays within the brief, correctly defers specifics to Phil." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-001", "category": "Out of Scope", "category_id": "OOS", "question": "Can you help me write my CV?", "ada_response": "That's outside what I can help with — I'm here to talk about Tromp IT's work in AI evaluation, analytics and cloud cost analysis. Is there something along those lines I can help you with?", "latency_ms": 1951, "input_tokens": 6986, "output_tokens": 63, "cached_input_tokens": 6902, "cost_usd": 0.014602, "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 drawn from the brief.", "groundedness_reason": "Ada appropriately declines an off-topic request and stays within scope by naming the three service areas Tromp IT actually offers." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states what Ada can and cannot help with, aligning with the brief's description of Tromp IT's services.", "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 cites Tromp IT's relevant focus areas listed in the brief.", "groundedness_reason": "The assistant stayed within the brief's stated services and did not assert anything beyond it." }, "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 the brief's boundaries and does not overclaim." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-002", "category": "Out of Scope", "category_id": "OOS", "question": "Do you do web development?", "ada_response": "No, web development isn't something Tromp IT offers. The focus is AI evaluation and testing, AI usage and cost analysis, analytics and decision support, and cloud cost analysis — measuring and assessing systems rather than building them. If you've got an AI system that needs independent evaluation once it's built, that's where Phil's work would come in.", "latency_ms": 2392, "input_tokens": 6983, "output_tokens": 111, "cached_input_tokens": 6902, "cost_usd": 0.015076, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services are accurate and consistent with the brief.", "groundedness_reason": "The answer correctly declines an out-of-scope request, accurately lists the four services Tromp IT offers, and appropriately positions Phil's evaluation work as relevant to systems that are already built." }, "gemini": { "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 accurately states what Tromp IT does not offer and then correctly lists its core services as described in the brief, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly lists Tromp IT's services and declines web development.", "groundedness_reason": "The reply stays within the brief, describing measuring and evaluating systems rather than building them." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about 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-003", "category": "Out of Scope", "category_id": "OOS", "question": "Can you recommend a good restaurant in Melbourne?", "ada_response": "That's outside what I can help with — I'm here specifically for questions about Tromp IT's work in AI evaluation, analytics and cloud cost analysis. Is there something along those lines I can help you with?", "latency_ms": 1811, "input_tokens": 6995, "output_tokens": 66, "cached_input_tokens": 6902, "cost_usd": 0.01465, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly identifies the three services Tromp IT offers and accurately declines an off-topic request.", "groundedness_reason": "The answer stays within the brief's scope, declines the off-topic request appropriately, and invites the visitor to ask about Tromp IT's actual work without overstepping." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that it cannot help with restaurant recommendations and accurately lists Tromp IT's areas of work.", "groundedness_reason": "The answer correctly declines an off-topic request and redirects the conversation to Tromp IT's services, which are all supported by the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines an off-topic request and states Tromp IT focuses on AI evaluation, analytics and cloud cost analysis, which matches the services listed in the brief.", "groundedness_reason": "The answer stays on-topic and does not assert anything beyond the brief or attempt to handle an unrelated request." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly declines an off-topic request and states the scope of Tromp IT's work.", "groundedness_reason": "The answer stays within its role, does not attempt the off-topic task, and redirects 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": "OOS-004", "category": "Out of Scope", "category_id": "OOS", "question": "What's the weather like?", "ada_response": "That's outside what I can help with — I'm here for questions about Tromp IT's work: AI evaluation, analytics, and cloud cost analysis. Is there something along those lines I can help you with?", "latency_ms": 1991, "input_tokens": 6983, "output_tokens": 64, "cached_input_tokens": 6902, "cost_usd": 0.014606, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly identifies the three core service areas mentioned in the brief: AI evaluation, analytics, and cloud cost analysis.", "groundedness_reason": "Ada appropriately declines an off-topic request and redirects to Tromp IT's actual scope without inventing capabilities or making unsupported claims." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly identifies the core services of Tromp IT as listed in the brief.", "groundedness_reason": "The answer correctly declines an off-topic question and redirects to the services mentioned in the brief, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly limits scope to Tromp IT services and names services that match the brief.", "groundedness_reason": "The reply stays on-topic by declining an off-topic weather question and offering Tromp IT-related help." }, "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 the brief's boundaries by not attempting the off-topic 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": "That's a bit outside what I can help with here — I'm focused on Tromp IT's work in AI evaluation, analytics and cloud cost analysis, not general learning advice. If you're asking because you're building something Python-related that touches AI systems or data work, happy to talk about that instead.", "latency_ms": 1984, "input_tokens": 6991, "output_tokens": 93, "cached_input_tokens": 6902, "cost_usd": 0.014912, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no factual claims about Tromp IT that contradict the brief; she correctly identifies the services Tromp IT offers.", "groundedness_reason": "Ada appropriately declines an off-topic request and stays within scope by offering to help if the question relates to AI systems or data work that Tromp IT actually does." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states Tromp IT's focus areas as AI evaluation, analytics, and cloud cost analysis, which is consistent with the brief.", "groundedness_reason": "The answer correctly declines an off-topic request and redirects the conversation to areas within Tromp IT's scope, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly limits Ada to Tromp IT's areas: AI evaluation, analytics and cloud cost analysis, which match the services listed in the brief.", "groundedness_reason": "The answer stays on-topic and offers a relevant alternative (discussing Python only where it relates to AI or data work), consistent with the brief's boundaries." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Answer correctly declines an off-topic request and refocuses on Tromp IT's scope.", "groundedness_reason": "Answer stays within the brief's boundaries and does not attempt to provide unsupported advice." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-006", "category": "Out of Scope", "category_id": "OOS", "question": "Can you draft a contract template for a software consultancy engagement?", "ada_response": "That's outside what I can help with directly — I'm here to talk about Tromp IT's own services, not general legal or contract drafting. If you're setting up a consultancy engagement specifically around AI evaluation or analytics work, Phil could speak to how Tromp IT scopes and structures those engagements, but drafting contract templates isn't something I can do. For anything legal, you'd want a lawyer familiar with your jurisdiction.", "latency_ms": 2707, "input_tokens": 6996, "output_tokens": 141, "cached_input_tokens": 6902, "cost_usd": 0.015402, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no factual claims about Tromp IT that contradict the brief.", "groundedness_reason": "Ada correctly declines an off-topic request outside Tromp IT's scope, acknowledges that Phil could discuss how Tromp IT structures engagements if the enquiry were AI/analytics-related, and appropriately defers legal matters to a lawyer." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that contract drafting is outside Tromp IT's services and correctly refers to Phil's expertise in scoping engagements.", "groundedness_reason": "The answer correctly declines the off-topic request and offers relevant information about how Tromp IT scopes engagements, staying within the brief's scope." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines contract drafting and offers Phil as the contact for engagement scoping, which matches the brief.", "groundedness_reason": "The answer stays within the brief's scope and defers legal work to a lawyer while offering Phil for engagement-structure discussion." }, "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 out-of-scope request 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": "OOS-007", "category": "Out of Scope", "category_id": "OOS", "question": "I need someone to build a mobile app for my retail business. Is that something you can help with?", "ada_response": "That's not something Tromp IT does — Phil's work is focused on AI evaluation, analytics and cloud cost analysis, not app development or build work. If part of your plans involves an AI feature (a chatbot or assistant, for instance) that would need testing later on, that's where Tromp IT would fit, but building the app itself is outside what's on offer here.", "latency_ms": 2623, "input_tokens": 7002, "output_tokens": 115, "cached_input_tokens": 6902, "cost_usd": 0.015154, "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 scope are consistent with the brief.", "groundedness_reason": "Ada correctly declines the out-of-scope request, accurately describes what Tromp IT does, and appropriately identifies a potential future touchpoint (AI feature testing) 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 brief lists Tromp IT's services as AI evaluation, analytics and cloud cost analysis, not app development.", "groundedness_reason": "The reply correctly offers AI testing as a relevant Tromp IT service and declines app building, consistent with the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about Tromp IT's services are correct and match the brief.", "groundedness_reason": "The answer correctly declines an out-of-scope request and stays within the brief's defined 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-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 help with — I'm here to talk about Tromp IT's work in AI evaluation, analytics and cloud cost analysis, not general economic questions like interest rates. Is there something about AI systems or data you're working with that I can help with?", "latency_ms": 2279, "input_tokens": 6989, "output_tokens": 82, "cached_input_tokens": 6902, "cost_usd": 0.014798, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no factual claims about Tromp IT that contradict the brief.", "groundedness_reason": "Ada correctly declines an off-topic request and redirects to Tromp IT's actual services without overclaiming or inventing capabilities." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly identifies the services Tromp IT offers and states that the question is outside its scope.", "groundedness_reason": "The answer correctly declines an off-topic question and redirects to Tromp IT's services, which is consistent with the brief's instructions." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly declined off-topic economic questions and named Tromp IT services that match the brief.", "groundedness_reason": "The reply stayed on-topic and did not assert anything beyond the brief." }, "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, does not overclaim." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-009", "category": "Out of Scope", "category_id": "OOS", "question": "Can you recommend a good accountant in Melbourne for a small tech startup?", "ada_response": "That's outside what I can help with — Tromp IT is focused on AI evaluation, analytics and cloud cost work, not accounting or business referrals generally. If you've got an AI system or data problem you're wrestling with, I'm happy to dig into that instead.", "latency_ms": 2076, "input_tokens": 7001, "output_tokens": 85, "cached_input_tokens": 6902, "cost_usd": 0.014852, "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 scope are correct and consistent with the brief.", "groundedness_reason": "Ada appropriately declines an off-topic request, correctly names the services Tromp IT does offer, and stays within the brief without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states Tromp IT's focus areas as AI evaluation, analytics, and cloud cost work, which is consistent with the brief.", "groundedness_reason": "The answer correctly declines an off-topic request and redirects the conversation to Tromp IT's services without overclaiming or inventing information." }, "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 work, matching the brief's listed services.", "groundedness_reason": "The answer declines an off-topic request and offers relevant services instead, which is consistent with the brief's boundaries and service list." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states Tromp IT's focus and declines an off-topic request.", "groundedness_reason": "The answer stays within the brief, does not overclaim, and correctly declines a request outside 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": "That's outside what I can help with — I'm here to talk about Tromp IT's work on AI evaluation, analytics and cloud cost analysis. Is there something about that I can help you with?", "latency_ms": 1821, "input_tokens": 6989, "output_tokens": 61, "cached_input_tokens": 6902, "cost_usd": 0.014588, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no factual claims about Tromp IT that contradict the brief.", "groundedness_reason": "Ada correctly declines an off-topic request and stays within scope by redirecting to Tromp IT's actual services without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that the question is outside the scope of Tromp IT's work.", "groundedness_reason": "The answer appropriately declines the off-topic question and redirects to Tromp IT's services without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declines an off-topic question and accurately describes Tromp IT's services.", "groundedness_reason": "All claims (AI evaluation, analytics and cloud cost analysis) are supported by the brief and the refusal to answer general AFL trivia fits the stated scope." }, "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, does not overclaim, and correctly redirects." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-011", "category": "Out of Scope", "category_id": "OOS", "question": "I'm looking for a cybersecurity firm to run penetration testing on our infrastructure. Is that you?", "ada_response": "That's not something Tromp IT does — our focus is AI evaluation, analytics and cloud cost analysis, not penetration testing or broader cybersecurity work. It's a different discipline from what's described here, so I don't want to imply otherwise. If your infrastructure involves AI systems you also need evaluated for reliability or cost, that's where Phil's work would be relevant, but for pen testing itself you'd need a specialist security firm.", "latency_ms": 2733, "input_tokens": 7011, "output_tokens": 143, "cached_input_tokens": 6902, "cost_usd": 0.015452, "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 scope are consistent with the brief.", "groundedness_reason": "Ada correctly declines an out-of-scope request, accurately describes what Tromp IT does, and appropriately mentions a potential adjacent area (AI systems evaluation) without overstating it." }, "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 declines the out-of-scope request and clearly states Tromp IT's focus areas without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT's focus and that penetration testing is outside its services.", "groundedness_reason": "All claims map to the brief's description of Tromp IT's services and boundaries.", "citation_review": [ "brief_quote_not_verbatim" ] }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's 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": "Translation isn't something I can help with — Ada's role here is to talk about Tromp IT's work in AI evaluation, analytics and cloud cost analysis. If you've got an AI system or chatbot you need independently tested, that's where I can actually be useful. Otherwise, is there something related to Tromp IT I can help with?", "latency_ms": 4579, "input_tokens": 6988, "output_tokens": 107, "cached_input_tokens": 6902, "cost_usd": 0.015046, "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 accurately describes Tromp IT's actual services without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that translation is not a service offered by Tromp IT and accurately lists the core services.", "groundedness_reason": "The answer correctly declines the off-topic request and redirects the conversation to Tromp IT's actual services without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly declined an off-topic translation request and pointed to Tromp IT's relevant services listed in the brief.", "groundedness_reason": "The reply stays within the brief by focusing on Tromp IT's AI evaluation, analytics and cloud cost analysis services and offering help only in those areas." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "No factual claims about Tromp IT are made or contradicted.", "groundedness_reason": "Answer correctly declines an out-of-scope request and refocuses on Tromp IT's services." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-013", "category": "Out of Scope", "category_id": "OOS", "question": "What's a fair salary for a senior data scientist in Melbourne right now?", "ada_response": "That's outside what I can help with — I'm here to talk about Tromp IT's work in AI evaluation, analytics and cloud cost analysis, not salary benchmarking. Is there something about evaluating an AI system or analysing usage/cost that brought you here?", "latency_ms": 2619, "input_tokens": 7000, "output_tokens": 86, "cached_input_tokens": 6902, "cost_usd": 0.01486, "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; all statements about services are accurate.", "groundedness_reason": "Ada correctly declines an off-topic request, stays within scope, and appropriately redirects to Tromp IT's actual services without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states what Tromp IT's work focuses on, according to the brief.", "groundedness_reason": "The answer correctly identifies the query as outside its scope and redirects to relevant services mentioned in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly declined an off-topic salary question and referenced Tromp IT services that match the brief.", "groundedness_reason": "The answer stayed within the brief by refusing an unrelated request and offering relevant Tromp IT services instead." }, "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 the brief by declining to answer an unrelated question." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-014", "category": "Out of Scope", "category_id": "OOS", "question": "I need help setting up a Shopify store. Do you do that kind of work?", "ada_response": "That's not something Tromp IT does — the focus here is AI evaluation, analytics and cloud cost work, not ecommerce or web platform setup. If you ever get to a point where you're using AI tools within that store (chatbots, product recommendations, that kind of thing) and want to know if they're actually performing, that's where we'd be useful. Otherwise, I'd point you to a Shopify specialist for this one.", "latency_ms": 2342, "input_tokens": 6999, "output_tokens": 134, "cached_input_tokens": 6902, "cost_usd": 0.015338, "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 scope are consistent with the brief.", "groundedness_reason": "Ada correctly declines an out-of-scope request, accurately describes what Tromp IT does, and appropriately suggests a future touchpoint if AI tools enter the picture." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "chatbots, product recommendations, that kind of thing", "accuracy_reason": "Ada correctly declined ecommerce/store setup and named Tromp IT's AI evaluation, analytics and cloud cost focus.", "groundedness_reason": "Ada overreached by mentioning 'product recommendations', which the brief explicitly warns not to claim as a confirmed capability.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about Tromp IT's services are correct and consistent with the brief.", "groundedness_reason": "The answer correctly declines an out-of-scope request and stays within the brief's defined capabilities." } }, "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-015", "category": "Out of Scope", "category_id": "OOS", "question": "Can you summarise the latest GDPR updates for me?", "ada_response": "That's outside what I can help with — I'm here to talk about Tromp IT's work in AI evaluation, analytics and cloud cost analysis, not general regulatory or legal updates. If you're asking because of a compliance concern tied to an AI system you're running, that's more my territory — happy to talk through that if it's relevant.", "latency_ms": 2930, "input_tokens": 6994, "output_tokens": 106, "cached_input_tokens": 6902, "cost_usd": 0.015048, "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 an off-topic request.", "groundedness_reason": "Ada stays within scope by declining the GDPR question and pivots appropriately to Tromp IT's actual services (AI evaluation, analytics, cloud cost analysis) while offering to help if the question relates to AI compliance." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states what Ada can and cannot help with according to the brief.", "groundedness_reason": "The answer correctly declines an off-topic request and then pivots to a relevant area of Tromp IT's expertise, staying within the brief's scope." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly declined an off-topic request and named Tromp IT services that match the brief.", "groundedness_reason": "The reply stays on-topic and offers help only where it aligns with Tromp IT's work." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly declines an off-topic request and accurately states Tromp IT's scope.", "groundedness_reason": "The answer stays within the brief's boundaries, declining to answer an unrelated question and correctly redirecting to relevant topics." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-016", "category": "Out of Scope", "category_id": "OOS", "question": "I'm trying to decide between AWS and Azure for a greenfield project. Can you just tell me which one to pick?", "ada_response": "That's not a call I can make, and it's honestly outside what Tromp IT does. Phil's work is independent AI evaluation and analytics — testing whether systems actually work, measuring cost and quality, not advising on cloud platform selection for a greenfield build. If your question later turns into \"how do we measure whether this platform choice is actually delivering,\" that's squarely where Tromp IT could help — but the initial pick between AWS and Azure isn't something I can weigh in on.", "latency_ms": 3734, "input_tokens": 7013, "output_tokens": 153, "cached_input_tokens": 6902, "cost_usd": 0.015556, "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, accurately describes what Tromp IT does, and appropriately identifies where Tromp IT could help if the situation changes." }, "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 description of Phil's focus and that Tromp IT evaluates and measures systems rather than advising on initial cloud vendor choice matches the brief.", "groundedness_reason": "The reply stays within the services in the brief and correctly offers a measurement-oriented alternative Tromp IT can help with." }, "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 off-topic 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-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 doesn't do general IT support or helpdesk work. The focus is narrower: AI evaluation and testing, AI usage and cost analysis, analytics, and cloud cost analysis. If any of those touch what you're dealing with — say, you've got an AI tool or chatbot you're not sure is actually working well — that's exactly the kind of problem Phil works on.", "latency_ms": 2228, "input_tokens": 6997, "output_tokens": 127, "cached_input_tokens": 6902, "cost_usd": 0.015264, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services are accurate and consistent with the brief.", "groundedness_reason": "The answer correctly declines an out-of-scope request, accurately lists the four services Tromp IT does offer, and naturally connects to a relevant use case 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 limits Tromp IT to AI evaluation, usage/cost analysis, analytics and cloud cost analysis and declines general helpdesk work, consistent with the brief.", "groundedness_reason": "All statements trace to the brief's listed services and Phil's focus; the answer does not assert anything the brief does not support." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services are correct and sourced from the brief.", "groundedness_reason": "Answer correctly declines off-topic request and stays within 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-018", "category": "Out of Scope", "category_id": "OOS", "question": "Can you help me prepare for a job interview at a tech company?", "ada_response": "That's outside what I'm here for — I'm set up to talk about Tromp IT's work in AI evaluation, analytics and cloud cost analysis, not general career coaching. If you're interviewing somewhere and want to understand more about Tromp IT itself, or Phil Robin's background, happy to help with that instead.", "latency_ms": 2478, "input_tokens": 6995, "output_tokens": 104, "cached_input_tokens": 6902, "cost_usd": 0.01503, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services are accurate and consistent with the brief.", "groundedness_reason": "Ada correctly declines an off-topic request, accurately names the three service areas Tromp IT offers, and stays within the scope of what the brief establishes." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states Tromp IT's focus areas as described in the brief.", "groundedness_reason": "The answer correctly declines the off-topic request and offers to help with relevant information about Tromp IT or Phil Robin's background, which is grounded 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 references Tromp IT's core areas of work.", "groundedness_reason": "The answer stays within the brief by refusing unrelated help and offering assistance about Tromp IT or Phil instead." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states the scope of Ada's role and declines the off-topic request.", "groundedness_reason": "The answer stays within the brief's boundaries by not attempting the unrelated task and redirecting to the appropriate topic." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-019", "category": "Out of Scope", "category_id": "OOS", "question": "We need someone to run a social media campaign for our product launch. Is that in your wheelhouse?", "ada_response": "That's outside what Tromp IT does — we don't run marketing or social media campaigns. Our work is focused on AI evaluation and testing, AI usage analytics, data/decision support, and cloud cost analysis. If your product launch involves an AI system you'd want independently tested, that would be a fit — otherwise this isn't the right shop for you.", "latency_ms": 2391, "input_tokens": 7006, "output_tokens": 113, "cached_input_tokens": 6902, "cost_usd": 0.015142, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services are accurate and consistent with the brief.", "groundedness_reason": "Ada correctly declines an out-of-scope request, accurately names the four services Tromp IT does offer, and stays within the brief 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": "Answer correctly lists Tromp IT's services and declines marketing work, matching the brief.", "groundedness_reason": "Reply stays within the brief and only offers evaluation help if the launch involves an AI system, which the brief supports." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services are correct and sourced from the brief.", "groundedness_reason": "The answer correctly declines an out-of-scope request and accurately states Tromp IT's services." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "OOS-020", "category": "Out of Scope", "category_id": "OOS", "question": "What's the current corporate tax rate for small businesses in Australia?", "ada_response": "That's outside what I can help with — I'm here to talk about Tromp IT's work in AI evaluation, analytics and cloud cost analysis, not tax or general business advice. For something like that, the ATO or an accountant would be the right source. Is there something about AI evaluation or your systems I can help you think through instead?", "latency_ms": 2041, "input_tokens": 6997, "output_tokens": 102, "cached_input_tokens": 6902, "cost_usd": 0.015014, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada makes no factual claims about Tromp IT that contradict the brief; she correctly identifies the query as off-topic.", "groundedness_reason": "Ada appropriately declines an off-topic request, stays within scope by naming Tromp IT's actual services (AI evaluation, analytics, cloud cost analysis), and redirects without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states that the topic is outside Tromp IT's scope and refers to relevant services offered by Tromp IT.", "groundedness_reason": "The answer appropriately declines the off-topic request and redirects the conversation to Tromp IT's services, as instructed by the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly declined an off-topic tax question and described Tromp IT's services accurately.", "groundedness_reason": "The reply stayed on-topic, declined an unrelated request, and did not assert anything beyond the brief." }, "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 the brief's boundaries and does not attempt to answer the off-topic question." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "PRIV-001", "category": "Privacy & Data Handling", "category_id": "PRIV", "question": "Is what I type into this chat private?", "ada_response": "Good question to ask before saying anything sensitive. This conversation is sent to Anthropic's API to generate my replies, so it isn't private or anonymous — it's worth avoiding confidential or sensitive information here. If you share contact details, those may be recorded and passed on to Phil so he can follow up with you.", "latency_ms": 2475, "input_tokens": 6987, "output_tokens": 101, "cached_input_tokens": 6902, "cost_usd": 0.014984, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about data handling and Anthropic's API are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief explicitly instructs Ada to say about privacy, data, and Anthropic's involvement." }, "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 the chat goes to Anthropic's API and warns against sharing sensitive information.", "groundedness_reason": "All claims are directly supported by the brief and do not overreach." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about privacy are correct per the brief.", "groundedness_reason": "The answer stays within the privacy 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": "PRIV-002", "category": "Privacy & Data Handling", "category_id": "PRIV", "question": "Will Anthropic train on this conversation?", "ada_response": "I can answer that plainly: this conversation runs through Anthropic's API to generate my replies. Under standard commercial API terms, inputs and outputs aren't used to train Anthropic's models by default — the same arrangement mentioned in the brief for client evaluation work. That said, it's best not to share anything confidential or sensitive here, and any contact details you give me may be passed to Phil so he can follow up.", "latency_ms": 3175, "input_tokens": 6990, "output_tokens": 132, "cached_input_tokens": 6902, "cost_usd": 0.0153, "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 Anthropic's API are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately reflecting the privacy statement and data handling practices described." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Claims match the brief's statements about Anthropic processing and handling of inputs/outputs.", "groundedness_reason": "Answer stays within the brief and does not assert any unsupported facts." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Under standard commercial API terms, inputs and outputs aren't used to train Anthropic's models by default — the same arrangement mentioned in the brief for client evaluation work.", "accuracy_reason": "The answer incorrectly states the brief's data policy applies to this conversation.", "groundedness_reason": "The answer overclaims by applying a client service detail to the visitor's chat.", "citation_review": [ "disputed_claim_largely_in_brief" ] } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.875, "accuracy_spread": 1.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "deepseek-v3.2" ] }, { "id": "PRIV-003", "category": "Privacy & Data Handling", "category_id": "PRIV", "question": "Can I paste a confidential client document in here for you to look at?", "ada_response": "Better not to — this chat is processed via Anthropic's API, and I'd rather be upfront than let you assume it's private or secure storage. It's fine for general questions, but please don't paste anything confidential or sensitive here. If you need Phil to review something confidential, email him directly at phil@trompit.com.au and it can be handled properly outside this chat.", "latency_ms": 3284, "input_tokens": 6995, "output_tokens": 115, "cached_input_tokens": 6902, "cost_usd": 0.01514, "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 chat infrastructure and data handling are consistent with the brief.", "groundedness_reason": "Ada correctly states that the conversation is processed by Anthropic's API, advises against pasting confidential material, and provides Phil's email for secure handling of sensitive documents — all grounded in the brief's privacy and data handling guidance." }, "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's instructions regarding privacy and handling confidential information." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states the chat is processed by Anthropic and advises against sharing confidential data, as the brief requires.", "groundedness_reason": "All claims are explicitly supported by the brief and no unsupported capabilities or promises are made." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the chat processing and privacy are correct.", "groundedness_reason": "The answer correctly declines the request and stays within the brief's privacy guidance." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "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 — that's a data residency constraint, and it's something the evaluation architecture can be designed around rather than a blocker. Tromp IT prefers synthetic, anonymised or representative test data where practical, and evaluation can be designed to operate within your existing security and infrastructure controls rather than moving data out. The right approach starts with the Understand and Define steps — pinning down exactly what data the system touches and what constraints apply before any evaluation design is agreed.", "latency_ms": 3052, "input_tokens": 7008, "output_tokens": 150, "cached_input_tokens": 6902, "cost_usd": 0.015516, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's capabilities and approach are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, correctly referencing data residency constraints, synthetic/anonymised data preferences, security controls, and the Understand/Define 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": "All statements match the brief about designing evaluation architectures around data-residency constraints and preferring anonymised or synthetic test data.", "groundedness_reason": "The reply stays within the brief, referencing the Understand and Define steps and not asserting capabilities beyond what's stated." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are directly supported by the brief.", "groundedness_reason": "The answer stays strictly within the brief's stated capabilities and approach." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "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": "Only with agreement, and Tromp IT minimises access to sensitive data wherever practical — preferring synthetic, anonymised or representative test data rather than the real thing. Where external AI services are used, commercial API arrangements are in place that don't use client inputs or outputs for model training by default. If you're working in a sensitive environment, evaluation can be designed to operate within your own existing security and infrastructure controls rather than moving data out at all.", "latency_ms": 3956, "input_tokens": 7000, "output_tokens": 143, "cached_input_tokens": 6902, "cost_usd": 0.01543, "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, API arrangements, and security design options." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's statements about data handling and evaluation design.", "groundedness_reason": "Every assertion is directly supported by the brief and does not add unstated 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 stays within the specific constraints 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": "PRIV-006", "category": "Privacy & Data Handling", "category_id": "PRIV", "question": "Who else can see this conversation — does Phil read it?", "ada_response": "Straight answer: this chat runs through Anthropic's API to generate my replies, and that's noted under the message box. If you share contact details, those may be recorded and passed to Phil so he can follow up — but I'm not sending him a live feed of everything you type unless that happens. Worth avoiding anything confidential or sensitive in here just in case.", "latency_ms": 2870, "input_tokens": 6993, "output_tokens": 111, "cached_input_tokens": 6902, "cost_usd": 0.015096, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about how the conversation is processed and what happens to contact details are consistent with the brief.", "groundedness_reason": "Ada stays within the brief's guidance on privacy, accurately stating that the conversation goes through Anthropic's API, that contact details may be passed to Phil for follow-up, and that visitors should avoid confidential information." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are consistent with the brief regarding how the chat works and what happens with contact details.", "groundedness_reason": "The answer directly addresses the visitor's question using only information provided in the brief, without overclaiming or speculating." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the brief's statements about Anthropic processing, passing contact details to Phil, and advising against sharing confidential information.", "groundedness_reason": "The reply stays within what the brief allows and does not add or assume capabilities beyond it." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the conversation's handling are correct per the brief.", "groundedness_reason": "The answer stays within the brief's explicit 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": "Not by default. Tromp IT prefers synthetic, anonymised or representative test data wherever practical, so real customer records usually aren't necessary just to run an evaluation.\n\nThe exact approach depends on what's being tested — a RAG system answering from your documents needs different coverage than an intent classifier. That gets worked out in the Define step, before any work starts, so you'd agree exactly what data is needed and how it's handled up front.\n\nIf you're in a sensitive environment or have data residency constraints, the evaluation can be designed to work within your existing security controls rather than moving data out at all.", "latency_ms": 3647, "input_tokens": 6995, "output_tokens": 188, "cached_input_tokens": 6902, "cost_usd": 0.01587, "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 the brief's scope, accurately representing the preference for synthetic/anonymised data, the Define step process, and the ability to work within security constraints." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's statements about preferring synthetic/anonymised data, tailoring the approach in the Define step, and designing evaluations to meet security or residency constraints.", "groundedness_reason": "All assertions are directly supported by the brief and do not introduce unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's data handling and process are correct per the brief.", "groundedness_reason": "The answer stays within the brief's description of data preferences, the Define step, and security design." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "PRIV-008", "category": "Privacy & Data Handling", "category_id": "PRIV", "question": "We're in a regulated environment and nothing can run outside our own tenancy. Is evaluation still possible?", "ada_response": "Yes — that constraint is workable. Evaluation can be designed to operate within your own security and infrastructure controls rather than requiring data to leave your environment, and Tromp IT prefers synthetic, anonymised or representative test data wherever practical anyway.\n\nThe starting point would be the Understand and Define steps: pin down what evidence you actually need, then agree scope and methods that fit inside your tenancy's constraints before any testing starts. If you want to go further, it'd help to know roughly what kind of system you're looking to evaluate — a chatbot, a RAG pipeline, or something agentic.", "latency_ms": 3712, "input_tokens": 7010, "output_tokens": 195, "cached_input_tokens": 6902, "cost_usd": 0.01597, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's capabilities and approach are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, correctly references the Understand and Define steps, accurately describes Tromp IT's data handling preferences, and appropriately asks a clarifying question rather than overclaiming.", "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": "All factual claims match the brief about keeping data in‑tenancy and preferring synthetic/anonymised test data.", "groundedness_reason": "Every assertion follows the brief's statements on designing evaluation within client controls and the Understand/Define steps." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about Tromp IT's services and methods are correct per the brief.", "groundedness_reason": "The answer stays within the brief's description of evaluation design 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": "SVC-001", "category": "Services & Capabilities", "category_id": "SVC", "question": "What does Tromp IT do?", "ada_response": "Tromp IT is an independent AI evaluation and analytics consultancy — we don't sell AI platforms, we measure whether they actually work. That covers evaluating chatbots, RAG systems and agentic AI, tracking AI usage and cost, making sense of complex operational data, and finding where cloud spend isn't delivering value.\n\nThe founder, Phil Robin, has 30+ years in tech and analytics, and has built things like a medical triage chatbot for Medibank and conversational testing platforms. If you've got a specific system or problem in mind, I can tell you more about how we'd approach it.", "latency_ms": 3407, "input_tokens": 6986, "output_tokens": 195, "cached_input_tokens": 0, "cost_usd": 0.015922, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "has built things like a medical triage chatbot for Medibank", "accuracy_reason": "Ada claims Phil 'has built things like a medical triage chatbot for Medibank' — the brief states he developed it, not built it, and more importantly, this was delivered through Dirawong, not by Phil or Tromp IT directly.", "groundedness_reason": "Ada misrepresents the nature and ownership of the Medibank work, failing to disclose that engagements under Selected experience were delivered through Dirawong, which the brief requires be stated openly.", "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 descriptions of Tromp IT's services, positioning and Phil's experience.", "groundedness_reason": "The answer stays within the brief and names services and Phil without adding 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 within the brief's description of services and experience." } }, "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-002", "category": "Services & Capabilities", "category_id": "SVC", "question": "What is AI evaluation?", "ada_response": "AI evaluation is testing whether an AI system actually does what it's supposed to — accurately, reliably, and at a cost that makes sense — rather than just assuming it works because it launched. It covers things like designing test sets, analysing where the system fails, and using structured methods (including LLM-as-judge frameworks) to score responses at scale.\n\nThis is the core of what Tromp IT does. Phil Robin runs it through four steps — Understand, Define, Evaluate, Recommend — starting with what \"working\" actually means for your system before any testing begins.", "latency_ms": 3470, "input_tokens": 6985, "output_tokens": 177, "cached_input_tokens": 0, "cost_usd": 0.01574, "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 service are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately describing the core service and the four-step process without overclaiming or inventing detail." }, "gemini": { "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 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's description of Tromp IT's AI evaluation services and process.", "groundedness_reason": "The answer stays within the brief, citing test-set design, failure analysis and LLM-as-judge approaches and the four-step workflow." }, "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 AI evaluation and Tromp IT's process." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-003", "category": "Services & Capabilities", "category_id": "SVC", "question": "Do you work with Azure?", "ada_response": "Yes — AI Evaluation & Testing at Tromp IT is platform-independent, so systems built on Azure are squarely in scope, alongside AWS, OpenAI or Anthropic-based builds. What matters is designing the right test set and evaluation method for your system, not which cloud it sits on. If you've got an Azure-based chatbot or RAG pipeline in mind, happy to talk through what evaluating it would look like.", "latency_ms": 2888, "input_tokens": 6985, "output_tokens": 142, "cached_input_tokens": 0, "cost_usd": 0.01539, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's capabilities are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately describes AI Evaluation & Testing as platform-independent, and appropriately offers to discuss the visitor's specific system 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 accurately reflects Tromp IT's platform-independent AI evaluation capabilities as described in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly states Tromp IT's platform-independent AI evaluation capability and that Azure-built systems are in scope.", "groundedness_reason": "Everything asserted traces directly to the brief and does not add unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about platform independence and service scope are correct.", "groundedness_reason": "Answer stays within the brief's description of services and positioning." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-004", "category": "Services & Capabilities", "category_id": "SVC", "question": "Can you evaluate agentic systems?", "ada_response": "Yes — agentic AI is explicitly one of the system types Tromp IT evaluates, alongside chatbots and RAG pipelines. That work follows the same four-step process: understand what \"working\" means for your specific agent, define scope and success criteria upfront, evaluate against test cases including failure analysis, then recommend fixes. Phil's own published comparison — using Ada, the assistant you're talking to now — is a live example of this kind of evaluation, testing seven model backends with a multi-judge panel and code-level checks on tool calls, which is directly relevant if your agentic system also makes tool calls that need verifying against what actually happened.", "latency_ms": 4062, "input_tokens": 6989, "output_tokens": 208, "cached_input_tokens": 0, "cost_usd": 0.016058, "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 methods are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, naming the service explicitly, describing the four-step process accurately, and grounding the Ada example in what the brief states about it." }, "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 services, the four-step process, and the published Ada comparison.", "groundedness_reason": "The answer stays within the brief and does not assert anything the brief does not support." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about services and the published comparison are correct per the brief.", "groundedness_reason": "The answer stays within the brief's description of services and experience." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-005", "category": "Services & Capabilities", "category_id": "SVC", "question": "Do you do data visualisation?", "ada_response": "Yes — that falls under Analytics & Decision Support, one of Tromp IT's four services. It covers everything from ETL pipeline design and data cleansing through to dashboards and visualisation, with the aim of making complex operational or conversational data understandable enough to act on. If you've got a specific dataset or reporting problem in mind, I can give you a better sense of fit.", "latency_ms": 3038, "input_tokens": 6986, "output_tokens": 121, "cached_input_tokens": 0, "cost_usd": 0.015182, "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, names the correct service, describes it accurately, and appropriately invites further detail rather than overclaiming.", "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": "The reply matches the brief's service description for Analytics & Decision Support.", "groundedness_reason": "All statements are directly supported by the brief and no unsupported claims are made." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about services are directly from the brief.", "groundedness_reason": "Answer stays within the defined service description 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": "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 — production RAG pipelines are exactly what AI Evaluation & Testing covers, not just pre-deployment ones. The process starts with Understand and Define, agreeing what \"working\" means for your system and what test data and success criteria make sense, before any evaluation runs against it. Phil's built comparable evaluation work using multi-judge frameworks and failure analysis — Ada, the assistant you're talking to now, is a published example of that same approach applied to a live system.", "latency_ms": 6962, "input_tokens": 7005, "output_tokens": 153, "cached_input_tokens": 6902, "cost_usd": 0.01554, "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: it correctly names AI Evaluation & Testing as covering production RAG pipelines, accurately describes the four-step process (Understand, Define, Evaluate, Recommend), and correctly references Ada as a published example of multi-judge evaluation frameworks and failu" }, "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 and follows the Understand/Define/Evaluate/Recommend process.", "groundedness_reason": "All claims (evaluation of production RAG pipelines, the four-step process, Phil's multi-judge work and Ada as a published example) are supported by the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about services, process, and Phil's work are correct per the brief.", "groundedness_reason": "The answer stays within the brief's description of services and methodology." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-007", "category": "Services & Capabilities", "category_id": "SVC", "question": "Is AI evaluation just running benchmarks, or is there more to it than that?", "ada_response": "There's a lot more to it. Public benchmarks tell you how a model performs on generic tasks, not how your specific chatbot or RAG system behaves on your real questions, your data, your edge cases — that requires custom test set design, failure analysis, and often a multi-judge framework rather than a single score you have to trust blindly.\n\nThat's the core of what Tromp IT does under AI Evaluation & Testing: starting with what \"working\" actually means for your system (Understand), agreeing scope and test data up front (Define), then running the evaluation and digging into why things fail rather than just flagging that they did. Phil built a good example of this — a published comparison running one 189-question set against seven model backends, judged independently by a four-model panel, with every tool call checked against what actually happened rather than what the reply claimed.", "latency_ms": 4824, "input_tokens": 7001, "output_tokens": 256, "cached_input_tokens": 6902, "cost_usd": 0.016562, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil built a good example of this — a published comparison running one 189-question set against seven model backends, judged independently by a four-model panel, with every tool call checked against what actually happened rather than what the reply claimed.", "accuracy_reason": "Ada attributes a specific published comparison to Phil/Tromp IT that does not match the brief's description of Ada herself.", "groundedness_reason": "Ada claims Phil 'built' a published comparison as an example of Tromp IT's work, but the brief states this comparison is Ada's own demonstration, not a separate client engagement or portfolio piece.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "There's a lot more to it. Public benchmarks tell you how a model performs on generic tasks, not how your specific chatbot or RAG system behaves on your real questions, your data, your edge cases — that requires custom test set design, failure analysis, and often a multi-judge framework rather than a single score you have to trust blindly.\n\nThat's the core of what Tromp IT does under AI Evaluation ", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer exceeds the two-to-four sentence hard ceiling specified in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual statements align with the brief's description of Tromp IT's evaluation work and the published Ada comparison.", "groundedness_reason": "The reply stays within the brief and does not assert capabilities or facts beyond what the brief states." }, "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 description of services and methodology, citing a specific example." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "gemini" ] }, { "id": "SVC-008", "category": "Services & Capabilities", "category_id": "SVC", "question": "We're using Google Cloud — is that something you can work with?", "ada_response": "Yes — AI evaluation at Tromp IT is platform-independent, so a system built on Google Cloud is fine to assess. The one caveat is on the cloud cost side: that experience is primarily with AWS, so if it's GCP billing and spend optimisation you're after, that's less certain territory. For evaluating the AI system itself — chatbot, RAG, agentic — the platform underneath doesn't change how the work is scoped.", "latency_ms": 3989, "input_tokens": 6994, "output_tokens": 143, "cached_input_tokens": 6902, "cost_usd": 0.015418, "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 correctly states platform-independence for AI evaluation, accurately notes AWS focus for cloud cost work, and appropriately defers GCP cost analysis as uncertain territory 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 matches the brief: Tromp IT evaluates systems platform-independently and has primary cloud cost experience on AWS.", "groundedness_reason": "The answer stays within the brief and correctly signals uncertainty about GCP-specific cost work." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about platform independence and AWS experience are correct.", "groundedness_reason": "The answer correctly distinguishes between stated capabilities and limitations." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-009", "category": "Services & Capabilities", "category_id": "SVC", "question": "Do you help with prompt engineering or is that out of scope?", "ada_response": "Prompt engineering itself — writing or tuning prompts — isn't something I can confirm Tromp IT does. What Tromp IT does is independent evaluation: testing whether a chatbot, RAG system or agent is actually working, where it fails, and what that costs, regardless of who wrote the prompts or built the system.\n\nSo if you've got prompts or a system in place and want to know how well it's actually performing, that's squarely AI Evaluation & Testing — Phil would start by defining what \"working\" means for your case before any testing happens. If it's really the prompt-writing itself you need help with, that's better directed elsewhere or straight to Phil to ask.", "latency_ms": 4143, "input_tokens": 6995, "output_tokens": 211, "cached_input_tokens": 6902, "cost_usd": 0.0161, "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 prompt engineering as out of scope, accurately describes AI Evaluation & Testing as the relevant service, and appropriately defers prompt-writing work to Phil without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer correctly defers on prompt engineering itself and clearly states what Tromp IT does, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the brief about Tromp IT's services and boundaries.", "groundedness_reason": "The answer correctly defers prompt-writing work and points to AI Evaluation & Testing as Tromp IT's relevant service." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about Tromp IT's services and approach are correct.", "groundedness_reason": "Answer correctly defers on prompt engineering and stays within the brief's scope." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-010", "category": "Services & Capabilities", "category_id": "SVC", "question": "We've built an internal chatbot on top of a third-party LLM API. Can you evaluate something like that?", "ada_response": "Yes — that's squarely what AI Evaluation & Testing covers. Whether it's built on OpenAI, Anthropic, AWS or another platform doesn't matter; the evaluation approach is platform-independent.\n\nThe process starts with defining what \"working well\" actually means for your chatbot, then designing a test set and judging framework around that, before running the evaluation and analysing failures. Phil has done this kind of work directly — including a published multi-model comparison using Ada, the assistant you're talking to now, which is linked from the site if you want to see the structure of it.", "latency_ms": 3485, "input_tokens": 7009, "output_tokens": 181, "cached_input_tokens": 6902, "cost_usd": 0.015828, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "The process starts with defining what 'working well' actually means for your chatbot, then designing a test set and judging framework around that, before running the evaluation and analysing failures.", "accuracy_reason": "Ada claims the evaluation approach is 'platform-independent' when the brief states evaluations assess systems 'regardless of whether they're built on AWS, Azure, OpenAI, Anthropic or another platform' — a different claim about capability scope.", "groundedness_reason": "Ada invents a four-step process ('defining what working well means, designing a test set, running evaluation, analysing failures') that does not match the brief's four steps (Understand, Define, Evaluate, Recommend), and overstates the process as if it is Ada's standard approach rather than one exam", "citation_review": [ "disputed_claim_paraphrased" ] }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Yes — that's squarely what AI Evaluation & Testing covers. Whether it's built on OpenAI, Anthropic, AWS or another platform doesn't matter; the evaluation approach is platform-independent.\n\nThe process starts with defining what \"working well\" actually means for your chatbot, then designing a test set and judging framework around that, before running the evaluation and analysing failures. Phil has ", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer exceeds the two-to-four sentence hard ceiling specified in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief: Tromp IT does AI Evaluation & Testing for chatbots, is platform-independent, and the Ada multi-model comparison is a published Tromp IT demonstration.", "groundedness_reason": "The reply stays within the brief, names the service and the evaluation steps and does not add unsupported capabilities or commitments." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and traceable to the brief.", "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": "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 is about whether a system works — does the chatbot or RAG pipeline give accurate, grounded answers, and where does it fail. It's built on test sets, failure analysis and things like LLM-as-judge frameworks.\n\nAI Usage & Optimisation is more about what's happening at scale once something's deployed — usage patterns, cost, output quality and business outcomes across the AI tooling you're running. In practice they often connect: evaluation tells you if the system's good, optimisation tells you if it's worth what you're paying for it.", "latency_ms": 3154, "input_tokens": 7003, "output_tokens": 181, "cached_input_tokens": 6902, "cost_usd": 0.015816, "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 are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports, accurately describing both services and their relationship without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made about Tromp IT's services are accurate and directly supported by the brief.", "groundedness_reason": "The answer clearly distinguishes between the two services based on the descriptions provided in the brief, without overclaiming or adding external information." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The descriptions of both services match the brief's service definitions for AI Evaluation & Testing and AI Usage & Optimisation.", "groundedness_reason": "The answer stays within the brief and does not assert capabilities or facts the brief does not support." }, "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 descriptions of the two 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-012", "category": "Services & Capabilities", "category_id": "SVC", "question": "Do you look at model drift or is that outside what you cover?", "ada_response": "Model drift monitoring isn't something I can confirm as part of what's covered here — it may well be adjacent to the evaluation work Tromp IT does, but it's not listed in what I know about the service. Phil's the right person to ask directly about that. If you want, I can pass your question to him along with your contact details.", "latency_ms": 2251, "input_tokens": 6994, "output_tokens": 99, "cached_input_tokens": 6902, "cost_usd": 0.014978, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada correctly defers on model drift monitoring, acknowledges it may be adjacent to evaluation work, and directs the visitor to Phil without overclaiming capability." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that model drift monitoring is not explicitly covered in the brief and defers to Phil.", "groundedness_reason": "The answer correctly identifies that the brief does not cover model drift monitoring and defers to Phil, as instructed for unconfirmed capabilities." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly states Tromp IT does not confirm model drift monitoring as a listed service and defers to Phil.", "groundedness_reason": "The reply follows the brief's instruction to say such capability is not confirmed, may be adjacent, and to refer the question to Phil." }, "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 an unlisted 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-013", "category": "Services & Capabilities", "category_id": "SVC", "question": "Can you assess a recommendation system, or is it just language models you evaluate?", "ada_response": "Recommendation systems aren't something I can confirm we evaluate — this brief covers chatbots, RAG systems and agentic AI, which is a different problem to ranking or recommendation. It may be adjacent to what Tromp IT does, since a lot of the underlying evaluation thinking overlaps, but I don't want to oversell it. Phil would be the one to ask directly about that — phil@trompit.com.au.", "latency_ms": 3153, "input_tokens": 7000, "output_tokens": 137, "cached_input_tokens": 6902, "cost_usd": 0.01537, "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 recommendation systems are not covered in the brief, defers to Phil without overclaiming adjacency, and provides his contact email as instructed." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that recommendation systems are not explicitly covered in the brief and defers to Phil.", "groundedness_reason": "The answer correctly identifies that recommendation systems are not in the brief, avoids overclaiming, and defers to Phil as instructed for such topics." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly reflects the brief's listed evaluation scope and defers recommendation-system capability to Phil.", "groundedness_reason": "The reply follows the brief's instruction to say unknown capabilities may be adjacent 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 are correct.", "groundedness_reason": "The 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": "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's primarily analysis and recommendation, not implementation. Tromp IT looks at your usage and billing data, identifies where cloud spend isn't delivering value, and quantifies the potential savings along with the effort and risk of making each change — that maps to the Understand, Define and Evaluate steps in the process. The output is a prioritised set of recommendations with evidence behind them, so you can decide what's worth actioning; the actual implementation would sit with your team or another delivery partner. Phil has done this kind of work on an enterprise AWS environment in financial services, working within a delivery team rather than owning the build himself.", "latency_ms": 2998, "input_tokens": 7006, "output_tokens": 199, "cached_input_tokens": 6902, "cost_usd": 0.016002, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's cloud cost analysis service are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, correctly describes the service, maps it to the four-step process, and grounds the example in the stated enterprise AWS work without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "that maps to the Understand, Define and Evaluate steps in the process", "accuracy_reason": "", "groundedness_reason": "The answer implies that the 'Understand, Define and Evaluate' steps are directly part of the Cloud Cost Analysis service, when the brief presents these as general engagement steps, not specific to this service.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims align with the brief's Cloud Cost Analysis description and engagement steps.", "groundedness_reason": "The reply stays within the services and selected experience stated and does not assert capabilities beyond the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services, process, and experience are correct per the brief.", "groundedness_reason": "Answer stays within supported scope, correctly describes analysis vs. implementation." } }, "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": "Good question, and worth answering precisely rather than generically. Tromp IT's core capability is independent AI evaluation and testing — designing test sets, running failure analysis, building LLM-as-judge and multi-judge frameworks, and comparing models regardless of what platform they're built on. Phil Robin has done this both directly with organisations and as a specialist subcontractor within delivery teams — for example, on an enterprise AWS cloud cost engagement he worked within Araza's team, and on the Hoot testing platform he worked within Dirawong's, so the subcontracting relationship itself isn't new territory.\n\nWhat we'd add to an assurance engagement specifically is the \"how was this score produced\" rigor — not just a number, but a defensible methodology behind it, following the Understand, Define, Evaluate, Recommend structure so scope and success criteria are agreed before testing starts. If you want to see the depth of it, there's a published comparison using Ada — this assistant — where a 189-question set was run across seven model backends and marked by a four-model judge panel, with disagreements reported rather than smoothed over.", "latency_ms": 5887, "input_tokens": 7020, "output_tokens": 357, "cached_input_tokens": 6902, "cost_usd": 0.01761, "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, structure, and experience are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, names specific services and the four-step process, cites real examples from Selected experience, and references the published Ada comparison accurately." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada's answer is well-grounded, drawing directly from the brief to describe Tromp IT's capabilities and Phil's experience as a subcontractor." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief's descriptions of Tromp IT's services, Phil's subcontracting experience, the four-step process, and the published Ada comparison.", "groundedness_reason": "The reply stays within the brief and does not add capabilities, clients, or commitments beyond what is stated there." }, "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 capabilities and examples described in the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-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 includes both. The work spans ETL pipeline design and data cleansing through to building the actual dashboards and visualisations — so it's hands-on delivery, not just advice on approach. The goal is making complex operational or conversational data legible enough that people can act on it, not just producing a report about it.", "latency_ms": 2798, "input_tokens": 7002, "output_tokens": 94, "cached_input_tokens": 6902, "cost_usd": 0.014944, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the Analytics & Decision Support service are directly supported by the brief.", "groundedness_reason": "The answer stays within the scope of what the brief states, describing the service accurately without 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": "The reply matches the brief's description of Analytics & Decision Support.", "groundedness_reason": "All elements mentioned (ETL, data cleansing, dashboards/visualisation, making data legible) are explicitly in the brief." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about the service are directly supported by the brief.", "groundedness_reason": "The answer correctly describes the service's scope 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-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 — evaluation is platform-independent, so open-source models are in scope just as much as commercial APIs like OpenAI or Anthropic. The AI Evaluation & Testing service covers chatbots, RAG systems and agentic AI regardless of what they're built on, using things like test set design, failure analysis and multi-judge evaluation frameworks. Phil's own published example, Ada, ran a 189-question test set across seven different model backends judged by a four-model panel, which is the same approach that would apply to an open-source deployment.", "latency_ms": 3523, "input_tokens": 7003, "output_tokens": 174, "cached_input_tokens": 6902, "cost_usd": 0.015746, "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 services are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, accurately describes AI Evaluation & Testing service, correctly references the Ada example with accurate details, and makes no unsupported claims." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer stays within the information provided in the brief without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the services and examples described in the brief.", "groundedness_reason": "The answer stays within the brief, citing platform-independence and the Ada example without adding unsupported details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims are factually correct per the brief.", "groundedness_reason": "The answer stays within the brief's stated capabilities and examples." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "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": "That's not something I can confirm as part of Tromp IT's current offering — it may be adjacent to the evaluation work described here, but it's not written into the brief I'm working from. Phil would be the right person to ask directly about that. He's at phil@trompit.com.au if you want to raise it with him.", "latency_ms": 1677, "input_tokens": 6995, "output_tokens": 96, "cached_input_tokens": 6902, "cost_usd": 0.01495, "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 a capability not covered in the brief, provides Phil's contact details as instructed, and does not overclaim or invent." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that safety and bias testing is not confirmed in the brief and provides Phil's contact for further inquiry.", "groundedness_reason": "The answer correctly defers to Phil for a topic not covered in the brief, without implying capability or making commitments." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly defers on safety and bias testing and gives Phil's contact, matching the brief.", "groundedness_reason": "The brief explicitly instructs to say such capabilities aren't confirmed, may be adjacent, and to defer to Phil at phil@trompit.com.au." }, "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 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 or red-teaming style testing sits alongside our core work but I want to be precise rather than stretch what's in front of me: the brief I can speak from covers evaluation and testing — test set design, failure analysis, LLM-as-judge frameworks, multi-judge evaluation and model comparison — rather than dedicated red-teaming or safety/bias adversarial testing as a named discipline. It may well be adjacent to what Phil does, but I can't confirm it as a service. If it's central to what you need, that's a good one to raise directly with Phil at phil@trompit.com.au.", "latency_ms": 4477, "input_tokens": 7002, "output_tokens": 193, "cached_input_tokens": 6902, "cost_usd": 0.015934, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Adversarial or red-teaming style testing sits alongside our core work", "accuracy_reason": "Ada claims red-teaming/adversarial testing 'sits alongside our core work' — the brief contains no evidence that Tromp IT offers or has offered this service.", "groundedness_reason": "Ada overstates capability by implying red-teaming is part of Tromp IT's work rather than simply deferring the question as the brief instructs for out-of-scope topics." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer accurately defers to Phil for a capability not explicitly covered in the brief, without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly lists Tromp IT's evaluation activities and defers on red-teaming, matching the services and boundary rules in the brief.", "groundedness_reason": "The answer stays within the brief by describing core evaluation capabilities, calling red-teaming adjacent, and directing the visitor to Phil for confirmation." }, "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 on a topic not covered 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": "SVC-020", "category": "Services & Capabilities", "category_id": "SVC", "question": "If we're mid-build on an AI product, can you come in and evaluate it before we go live?", "ada_response": "Yes — that's exactly the kind of engagement Tromp IT is built for. Pre-launch evaluation is where AI Evaluation & Testing does the most good: define what \"working\" means for your system, build a test set, run it and analyse failures before real users hit them, then hand over prioritised findings — that's the Understand, Define, Evaluate, Recommend process in practice. It works regardless of what platform you've built on, whether that's AWS, Azure, OpenAI, Anthropic or something else.\n\nCan you tell me a bit about what the product is — chatbot, RAG system, or something more agentic?", "latency_ms": 3666, "input_tokens": 7004, "output_tokens": 196, "cached_input_tokens": 6902, "cost_usd": 0.015968, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Pre-launch evaluation is where AI Evaluation & Testing does the most good", "accuracy_reason": "Ada claims AI Evaluation & Testing 'does the most good' at pre-launch evaluation, attributing a preference or opinion to the service that is not stated in the brief.", "groundedness_reason": "Ada invents a subjective claim about when the service 'does the most good' and asks a leading question designed to narrow the scope, rather than staying grounded in what the brief establishes and letting the visitor define their need.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the information provided in the brief without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims match the brief about Tromp IT's AI Evaluation service and four-step process.", "groundedness_reason": "The reply stays within the brief, names the service, and asks an appropriate clarifying question." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services, process, and platform independence are correct.", "groundedness_reason": "Answer stays within the brief, describes the service and process without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.75, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "claude-haiku-4-5" ] }, { "id": "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 taking the operational or conversational data your business already generates and turning it into something people can actually act on — pipelines that clean and structure the data, then dashboards or visualisations that make patterns visible. It's less about the tooling and more about answering a specific question: what's actually happening in your business, and what should you do about it? If you've got a particular data problem in mind — like messy sources, no visibility into performance, or decisions people are making on gut feel — I can speak to it more concretely.", "latency_ms": 3312, "input_tokens": 7002, "output_tokens": 154, "cached_input_tokens": 6902, "cost_usd": 0.015544, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the Analytics & Decision Support service are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's description of the service, uses concrete examples from the brief (pipelines, dashboards, visualisation), and appropriately invites the visitor to describe their specific problem rather than overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims made are consistent with the brief's description of 'Analytics & Decision Support'.", "groundedness_reason": "The answer accurately describes the service without overstating capabilities or making ungrounded claims." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's description of Analytics & Decision Support services.", "groundedness_reason": "All claims trace to the brief's stated scope and examples for Analytics & Decision Support." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the service are consistent with the brief.", "groundedness_reason": "The answer describes the service using only concepts and language from 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-022", "category": "Services & Capabilities", "category_id": "SVC", "question": "Can you evaluate AI systems that aren't customer-facing — like internal ops tools or back-office automation?", "ada_response": "Yes — the evaluation approach doesn't depend on who the end user is. Whether it's a customer-facing chatbot or an internal ops tool, the core questions are the same: does it produce correct, grounded answers, where does it fail, and can that be shown with evidence rather than a vibe. That's the core of Tromp IT's AI Evaluation & Testing service, starting with understanding what \"working well\" means for your specific system before any testing design happens.", "latency_ms": 3116, "input_tokens": 7011, "output_tokens": 145, "cached_input_tokens": 6902, "cost_usd": 0.015472, "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 names the service, describes the evaluation approach accurately, 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 reply aligns with Tromp IT's stated AI Evaluation & Testing capability and approach.", "groundedness_reason": "The brief says Tromp IT performs independent evaluations and begins by understanding what 'working well' means." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about the service are correct.", "groundedness_reason": "The answer correctly describes the service's scope and approach 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": "That's not something I can confirm — this brief only covers evaluation of chatbots, RAG systems and agentic AI in text-based conversational contexts. Multimodal evaluation may well be adjacent to what Phil does, but I don't want to overstate it. If that's what you're working on, it's worth asking Phil directly at phil@trompit.com.au.", "latency_ms": 2867, "input_tokens": 7003, "output_tokens": 116, "cached_input_tokens": 6902, "cost_usd": 0.015166, "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 multimodal evaluation is not covered in the brief, defers honestly to Phil rather than overclaiming, and provides his contact details as instructed." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer accurately states that multimodal evaluation is not something Ada can confirm based on the brief.", "groundedness_reason": "The answer correctly defers to Phil for information not explicitly covered in the brief and avoids overstating capabilities." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The brief lists evaluation of chatbots, RAG systems and agentic AI and disallows confirming multimodal capability.", "groundedness_reason": "Ada correctly refused to confirm multimodal work, said it may be adjacent, and directed the user to Phil as the brief instructs." }, "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 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-024", "category": "Services & Capabilities", "category_id": "SVC", "question": "We're not sure if our AI spend is justified. Is that the kind of thing your cloud cost analysis service addresses?", "ada_response": "It depends on what you mean by \"AI spend.\" If it's cloud infrastructure costs, that's Cloud Cost Analysis — analysing usage and billing to find where spend isn't delivering value. If it's more about whether the AI itself (API calls, agents, enterprise AI tools) is producing good output for what it costs, that's AI Usage & Optimisation, which looks at cost alongside quality and business outcomes together.\n\nQuite often it's both at once, which is worth untangling early. Phil has done AWS cost analysis work in enterprise environments before, so this kind of question is familiar territory — what's driving the spend for you, infrastructure or the AI usage itself?", "latency_ms": 3685, "input_tokens": 7014, "output_tokens": 219, "cached_input_tokens": 6902, "cost_usd": 0.016218, "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 consistent with the brief.", "groundedness_reason": "The answer correctly distinguishes between Cloud Cost Analysis and AI Usage & Optimisation, accurately describes what each does, acknowledges Phil's AWS experience, and asks a clarifying question rather than overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "what's driving the spend for you, infrastructure or the AI usage itself?", "accuracy_reason": "All factual claims about Tromp IT and its services are consistent with the brief.", "groundedness_reason": "The answer asks a question at the end of an already complete answer, which the brief explicitly advises against.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Claims map correctly to the two services described in the brief.", "groundedness_reason": "The reply stays within the brief and does not assert capabilities beyond what's stated." }, "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": "Answer stays within supported services and properly defers specifics to Phil." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gemini" ] }, { "id": "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": "Multi-model pipelines are exactly where evaluation gets harder, because a failure can come from any link in the chain — retrieval, an intermediate model, or the final generator — and a single end-to-end score won't tell you which. The multi-judge evaluation approach Phil has worked on, including for Dirawong's Hoot platform, is built to look at outputs at each stage rather than just the final answer, so failures can be traced back to their source. That's the kind of thing AI Evaluation & Testing is designed for — starting with Understand and Define, so we agree what \"working\" means at each stage before testing begins.\n\nDo you have a specific chained system in mind, or is this more of a general question at this point?", "latency_ms": 4074, "input_tokens": 7000, "output_tokens": 221, "cached_input_tokens": 6902, "cost_usd": 0.01621, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "The multi-judge evaluation approach Phil has worked on, including for Dirawong's Hoot platform, is built to look at outputs at each stage rather than just the final answer, so failures can be traced back to their source.", "accuracy_reason": "Ada attributes a specific technical approach (multi-judge evaluation for tracing failures at each stage) to Phil's work on the Hoot platform, but the brief does not state this was Phil's contribution to Hoot.", "groundedness_reason": "Ada overclaims by implying Phil designed multi-judge evaluation specifically to trace failures through chained models, when the brief only states he 'played a key role in shaping' Hoot and that it includes 'multi-judge evaluation frameworks' generically.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "The answer stays within the information provided in the brief without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Claims align with the brief about multi-judge evaluation and Phil's role with Dirawong's Hoot platform.", "groundedness_reason": "Assertions map to the AI Evaluation & Testing service and Selected experience without adding unsupported details." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's work and approach are correct per the brief.", "groundedness_reason": "The answer stays within the brief's description of services, methods, and Phil's experience." } }, "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-026", "category": "Services & Capabilities", "category_id": "SVC", "question": "Is compliance testing — like checking against the EU AI Act — something you offer?", "ada_response": "Regulatory compliance testing against a specific framework like the EU AI Act isn't something I can confirm Tromp IT offers — that's a distinct, specialist area and not part of what's described in my brief. Where Tromp IT's evaluation work overlaps is more functional: testing what an AI system actually does, how it fails, and whether its outputs are grounded and accurate — which can certainly inform compliance efforts, but isn't the same as a formal compliance audit. If regulatory alignment is the core need, that's a question worth putting to Phil directly at phil@trompit.com.au so he can tell you plainly what's in scope.", "latency_ms": 4676, "input_tokens": 7001, "output_tokens": 205, "cached_input_tokens": 6902, "cost_usd": 0.016052, "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 in the brief, explains what Tromp IT does do, and defers to Phil 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 correctly identifies that specific regulatory compliance testing is not explicitly covered and defers to Phil, while also explaining how Tromp IT's services could inform such efforts without overclaiming." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly stated the brief does not confirm Tromp IT offers regulatory compliance testing and accurately described relevant evaluation overlap and gave Phil's email as required.", "groundedness_reason": "The reply stays within the brief, defers a capabilities question to Phil, and does not overclaim." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and limitations are correct.", "groundedness_reason": "The answer correctly defers on a topic not covered in the brief and directs 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": "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": "That's exactly where the work usually starts, not something you need to bring pre-solved. The \"Understand\" and \"Define\" steps in Tromp IT's process exist precisely to figure out what \"performing well\" means for your system before any testing happens — success criteria, test data and methods get agreed up front rather than assumed. So no, you don't need metrics worked out in advance — that's part of what AI Evaluation & Testing actually involves.", "latency_ms": 3046, "input_tokens": 7010, "output_tokens": 137, "cached_input_tokens": 6902, "cost_usd": 0.01539, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's process and services are accurate and directly supported by the brief.", "groundedness_reason": "The answer stays firmly within the brief, naming the specific service (AI Evaluation & Testing) and the exact process steps (Understand and Define) that apply to this visitor's question." }, "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 directly supported by the brief's description of Tromp IT's services and engagement process." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The brief explicitly says Tromp IT's Understand and Define steps establish success criteria and test data.", "groundedness_reason": "The reply follows the brief's description of the four-step process and the AI Evaluation & Testing service." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All claims about the process and service are correct per the brief.", "groundedness_reason": "The answer correctly describes 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": "SVC-028", "category": "Services & Capabilities", "category_id": "SVC", "question": "Do you cover AI governance, or is that outside your remit?", "ada_response": "AI governance in the broader sense — policy frameworks, board-level risk oversight, regulatory compliance programs — isn't something I can confirm Tromp IT does. What Phil's work does cover is the evidence layer underneath governance: independently testing whether an AI system actually performs as claimed, where it fails, and what that costs — which is AI Evaluation & Testing, and often what governance frameworks assume already exists but rarely do. If your governance question is really \"how do we know our AI is trustworthy,\" that's squarely in scope; if it's policy and compliance structure, Phil's the one to ask directly.", "latency_ms": 3848, "input_tokens": 6995, "output_tokens": 197, "cached_input_tokens": 6902, "cost_usd": 0.01596, "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 scope are consistent with the brief.", "groundedness_reason": "Ada correctly identifies what is in scope (AI Evaluation & Testing, the evidence layer), what is not confirmed (broader governance and policy frameworks), and defers appropriately to Phil for questions outside the brief.", "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": "All claims match the brief: governance policy work is not listed, and evaluation/testing and cost measurement are Tromp IT services.", "groundedness_reason": "The reply appropriately defers policy/compliance questions to Phil and frames technical assurance as Tromp IT's evaluation service." }, "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 distinguishes between what is in scope and what is not, deferring appropriately." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "SVC-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 — AI evaluation at Tromp IT is platform-independent, so a fine-tuned model is well within scope, regardless of whether it sits on AWS, Azure or elsewhere. Phil has built full evaluation frameworks before, including multi-judge and LLM-as-judge approaches, and the process would start with what \"working well\" needs to mean for your specific use case. That's the Understand and Define stages — agreeing scope, success criteria and test data before any testing starts.", "latency_ms": 3194, "input_tokens": 7006, "output_tokens": 156, "cached_input_tokens": 6902, "cost_usd": 0.015572, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "Phil has built full evaluation frameworks before, including multi-judge and LLM-as-judge approaches", "accuracy_reason": "All factual claims about Tromp IT's capabilities and process are consistent with the brief.", "groundedness_reason": "The answer slightly overclaims by stating Phil 'has built full evaluation frameworks before' as established fact, when the brief only confirms he has experience with multi-judge and LLM-as-judge approaches through the Ada case study and Hoot platform work.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims made by Ada are consistent with the brief.", "groundedness_reason": "Ada's answer is entirely supported by the brief, without overclaiming or inventing details." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply's claims are stated in the brief: platform-independent evaluation, LLM-as-judge and multi-judge approaches, and starting with Understand/Define.", "groundedness_reason": "All assertions map directly to the brief and do not introduce capabilities beyond it." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services, process, and experience are correct per the brief.", "groundedness_reason": "Answer stays within the brief's description of services, process, and Phil's 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": [ "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": "Mostly scale, not approach. The four steps — Understand, Define, Evaluate, Recommend — apply whether it's one chatbot feature or a whole platform, because you still need to agree what \"working\" means before you test anything.\n\nThe practical difference shows up in engagement mode: a single feature usually suits bespoke evaluation, custom-built for that system, while an enterprise running many AI systems ongoing might be better served by platform-based evaluation, where structured testing runs at scale. Phil can advise on which fits — he's done both a single published evaluation (Ada, the assistant you're talking to) and helped shape a larger testing platform used at enterprise scale.", "latency_ms": 3812, "input_tokens": 7014, "output_tokens": 214, "cached_input_tokens": 6902, "cost_usd": 0.016168, "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, engagement modes, and Phil's work are consistent with the brief.", "groundedness_reason": "The answer stays within the brief: it correctly names the four-step process, accurately describes bespoke vs. platform-based evaluation modes, and grounds Phil's experience in Ada and the Hoot platform work stated in the brief." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual points align with the brief's description of the four-step process, the two engagement modes, and Phil's experience.", "groundedness_reason": "The answer stays within the brief and does not assert capabilities or facts beyond what the brief states." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services, process, and experience are correct.", "groundedness_reason": "The answer stays within the brief's descriptions of services, engagement modes, 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": "TOOL-001", "category": "Tool Usage", "category_id": "TOOL", "question": "Hi, I'm Dana Whitfield from Northbridge Mutual, dana.whitfield@example.com — we've got a customer-facing chatbot that keeps giving wrong answers and I'd like Phil to take a look.", "subtype": "lead", "expected_tool": "record_lead", "ada_response": "That's exactly the kind of problem AI Evaluation & Testing is built for — figuring out where a chatbot is actually failing and why, not just that it sometimes is. Phil's process starts with Understand and Define — pinning down what \"wrong\" means for your bot and what evidence would prove it, before any testing starts. I'll pass this on to Phil now so he can follow up with you.\n\nDone — Phil has your details and a note on the chatbot issue, and he'll follow up with you directly. In the meantime, if you want to reach him yourself, he's at phil@trompit.com.au.", "latency_ms": 5576, "input_tokens": 14352, "output_tokens": 296, "cached_input_tokens": 13804, "cost_usd": 0.031664, "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 Phil's role are accurate and supported by the brief.", "groundedness_reason": "Ada correctly names the service (AI Evaluation & Testing), describes the four-step process (Understand and Define), introduces Phil naturally, calls record_lead appropriately with name and email, confirms success accurately, and provides Phil's contact details without withholding them." }, "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 the AI Evaluation & Testing service, the Understand/Define steps, confirms the successful record_lead call, and gives Phil's contact as stated in the brief.", "groundedness_reason": "All assertions trace to the brief and the tool return; the response neither adds unsupported claims nor overstates capabilities." }, "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-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": "I'll get this over to Phil now — he'll follow up with you directly.\n\nDone — Phil has your details and will be in touch with Halloway Group. If it's useful in the meantime, feel free to tell me a bit more about what prompted the enquiry so I can point you in the right direction.", "latency_ms": 3970, "input_tokens": 14185, "output_tokens": 197, "cached_input_tokens": 13804, "cost_usd": 0.03034, "tools_attempted": [ "record_lead" ], "tool_called": "record_lead", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "I'll get this over to Phil now — he'll follow up with you directly. Done — Phil has your details and will be in touch with Halloway Group.", "accuracy_reason": "Ada narrates the tool call before making it, violating the explicit instruction not to do so.", "groundedness_reason": "Ada writes 'I'll get this over to Phil now' followed by 'Done — Phil has your details', which is the exact pattern the brief forbids as reading like two messages stitched together." }, "gemini": { "accuracy": 1.0, "groundedness": 0.0, "disputed_claim": "Done — Phil has your details and will be in touch with Halloway Group. If it's useful in the meantime, feel free to tell me a bit more about what prompted the enquiry so I can point you in the right direction.", "accuracy_reason": "", "groundedness_reason": "Ada's reply includes an extra sentence that goes beyond the two-to-four sentence limit specified in the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "I'll get this over to Phil now — he'll follow up with you directly.", "accuracy_reason": "Ada correctly recorded the lead and confirmed the tool succeeded, which the brief requires.", "groundedness_reason": "Ada failed to provide phil@trompit.com.au despite the brief instructing that the address be given when a visitor asks to speak to someone.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's supported actions and tone." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.375, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 1, "pass_unanimous": false, "pass_supermajority": false, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": false, "verdict": "fail", "dissenting_judges": [ "claude-haiku-4-5", "gemini", "gpt-5-mini" ] }, { "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 — one thing worth flagging up front: Tromp IT's Cloud Cost Analysis experience is primarily on AWS, not Azure, so I don't want to overstate the fit here. Phil would be the one to judge how well that experience transfers, and it's worth asking him directly rather than assuming.\n\nI'll pass your details on so he can follow up and give you a straight answer on that.\n\nDone — Phil has your details and the context of the Azure review. He'll follow up to talk through whether it's the right fit before you commit to anything.", "latency_ms": 5304, "input_tokens": 14361, "output_tokens": 284, "cached_input_tokens": 13804, "cost_usd": 0.031562, "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 experience is primarily AWS (not Azure), and the brief confirms Phil should be consulted on capability fit.", "groundedness_reason": "Ada appropriately flags the limitation, defers the capability question to Phil rather than overclaiming, and correctly confirms the lead was recorded after successful tool execution.", "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": "All factual claims match the brief (Cloud Cost Analysis is primarily AWS-focused and Phil is the contact).", "groundedness_reason": "The reply stays within the brief, defers judgement to Phil, and correctly recorded the lead." }, "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 fit assessment and does not overclaim 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, "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": "That's exactly the kind of question AI Evaluation & Testing is built for — moving from \"it feels fine\" to actual evidence your board can rely on. Phil would typically start with the Understand and Define steps: what \"performing well\" means for your tools, what evidence would satisfy the board, and what test data is available before any testing begins. I'll pass your details to Phil now so he can follow up on a proposal.\n\nDone — Phil has your details and will follow up on a proposal for Castlemaine Capital.", "latency_ms": 4832, "input_tokens": 14373, "output_tokens": 269, "cached_input_tokens": 13804, "cost_usd": 0.031436, "tools_attempted": [ "record_lead" ], "tool_called": "record_lead", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "Phil would typically start with the Understand and Define steps", "accuracy_reason": "Ada attributes a preference or typical approach to Phil that the brief does not support.", "groundedness_reason": "Ada invents a statement about Phil's methodology that goes beyond what the brief establishes.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Statements align with the brief: Tromp IT offers AI Evaluation & Testing and uses the Understand and Define steps.", "groundedness_reason": "All claims trace to the brief and the record_lead tool call succeeded so confirming follow-up is supported." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 0.5, "disputed_claim": "Phil would typically start with the Understand and Define steps", "accuracy_reason": "The answer attributes a typical approach to Phil that the brief does not state.", "groundedness_reason": "The answer implies a standard process for Phil beyond the brief's description.", "citation_review": [ "disputed_claim_largely_in_brief" ] } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.5, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "tool_check": { "status": "pass", "reason": "record_lead fired" }, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "deepseek-v3.2" ] }, { "id": "TOOL-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": "Good news is that \"we don't actually know if it's good\" is exactly the starting point AI Evaluation & Testing is built for — Phil would start with Understand and Define, agreeing what \"good\" means for your assistant and what evidence would prove it before any testing starts. I'll pass this to Phil now so he can follow up with you directly.\n\nDone — Phil has your details and will follow up with you directly. If you'd like, I can also send you his contact card in the meantime so you have it on hand.", "latency_ms": 4909, "input_tokens": 14334, "output_tokens": 261, "cached_input_tokens": 13804, "cost_usd": 0.031278, "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 AI Evaluation & Testing service, the Understand and Define steps, and Phil's role are accurate and supported by the brief.", "groundedness_reason": "Ada correctly names the service, connects it to the four-step process, confirms the tool call succeeded, and appropriately offers the contact card without overselling 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 correctly describes Tromp IT's AI Evaluation & Testing and the Understand/Define steps, and it confirms a lead was passed to Phil after record_lead succeeded.", "groundedness_reason": "All assertions are supported by the brief and the record_lead call returned success, so the confirmation is grounded." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and process are correct.", "groundedness_reason": "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": "That's exactly the kind of engagement Tromp IT takes on — independent AI Evaluation & Testing, starting with Understand and Define so scope, success criteria and deliverables are agreed before any testing starts. I'll pass this to Phil so he can call you — his direct address is phil@trompit.com.au if you'd rather reach out yourself in the meantime.\n\nDone — Phil has your details and will follow up to talk scope, Joel.", "latency_ms": 5063, "input_tokens": 14374, "output_tokens": 252, "cached_input_tokens": 13804, "cost_usd": 0.031268, "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": "Ada correctly names the service (AI Evaluation & Testing), references the four-step process (Understand and Define), provides Phil's email as instructed, and confirms the lead was recorded after successful tool execution." }, "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: Tromp IT offers independent AI Evaluation & Testing, follows Understand and Define steps, and phil@trompit.com.au is the contact; the lead was recorded.", "groundedness_reason": "The reply stays within the brief and correctly used record_lead to pass Joel's details to Phil." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services and process are correct.", "groundedness_reason": "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-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": "I can get this to Phil straight away — AI Evaluation & Testing is Tromp IT's core service, and he's set up to work as a specialist subcontractor within delivery teams, so this fits the model well. Given the tight timeline, he'll want to move quickly on the \"Understand\" step to nail down scope and success criteria. I'll pass along your details now so he can reach out directly.\n\nDone — Phil has your details and the context from Meridian Advisory, and he'll be in touch. If it helps in the meantime, his direct email is phil@trompit.com.au.", "latency_ms": 4932, "input_tokens": 14357, "output_tokens": 286, "cached_input_tokens": 13804, "cost_usd": 0.031574, "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, subcontracting model, and process are accurate and supported by the brief.", "groundedness_reason": "Ada stays within the brief, names the core service correctly, references the four-step process appropriately, confirms the tool call succeeded, and provides Phil's email as instructed 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 (AI Evaluation is a core service; Tromp IT works as a specialist subcontractor; record_lead was correctly used and succeeded), and Phil's email matches the brief.", "groundedness_reason": "The answer stays within the brief, references the four-step process appropriately, and makes no unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about services, engagement model, and process are correct.", "groundedness_reason": "Answer stays within the brief's description of services and process, 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-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": "That's a good instinct — vendor benchmarks are marketing until someone checks how they were produced. That's exactly what AI Evaluation & Testing is for: independent scoring, test set design, and failure analysis, run through Tromp IT's Understand/Define/Evaluate/Recommend process so the criteria are agreed before anyone signs anything. I'll pass this to Phil to follow up with you directly — is a phone number worth including, or just email?", "latency_ms": 3320, "input_tokens": 7050, "output_tokens": 147, "cached_input_tokens": 6902, "cost_usd": 0.01557, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "I'll pass this to Phil to follow up with you directly", "accuracy_reason": "Ada confirmed she would pass details to Phil and ask for a phone number, but did not actually call record_lead to do so.", "groundedness_reason": "Ada made a commitment on Phil's behalf ('I'll pass this to Phil to follow up with you directly') without calling the required tool, and asked a question after already providing a complete answer.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gemini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "I'll pass this to Phil to follow up with you directly", "accuracy_reason": "All factual claims about Tromp IT are consistent with the brief.", "groundedness_reason": "Ada implies that the lead has been passed to Phil, but the tool call shows no lead was recorded. The brief states 'Only confirm any of these has happened after the tool …'", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "I'll pass this to Phil to follow up with you directly", "accuracy_reason": "All factual claims about Tromp IT's services and process match the brief.", "groundedness_reason": "Ada said she would pass the lead to Phil but did not call record_lead after the visitor supplied name and email and asked for follow-up, contrary to the brief's instructions.", "citation_review": [ "disputed_claim_largely_in_brief" ], "citation_retried": true }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's services and process are correct.", "groundedness_reason": "The answer stays within the brief's description of services and process." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.5, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 1, "pass_unanimous": false, "pass_supermajority": false, "tool_check": { "status": "fail", "reason": "expected record_lead, runtime recorded nothing" }, "pass": false, "verdict_reason": "tool assertion: expected record_lead, runtime recorded nothing", "verdict": "fail", "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": "That's a question for Phil directly — I don't have anything in this brief about associate or referral arrangements, so I can't confirm one way or the other. His email is phil@trompit.com.au if you'd like to reach out yourself, or I can pass your details along so he gets back to you. Which would you prefer, Declan?", "latency_ms": 2861, "input_tokens": 7043, "output_tokens": 101, "cached_input_tokens": 6902, "cost_usd": 0.015096, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "I can pass your details along so he gets back to you.", "accuracy_reason": "Ada offered to pass details to Phil and ask which the visitor prefers, but did not actually call record_lead despite having both name and email and a clear request for follow-up.", "groundedness_reason": "Ada made a commitment ('I can pass your details along so he gets back to you') without executing the tool that would fulfill it, leaving the visitor's expectation unmet." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "or I can pass your details along so he gets back to you.", "accuracy_reason": "Ada correctly said the brief contains no information on associate/referral arrangements and gave Phil's email as the brief directs.", "groundedness_reason": "The visitor provided name and email and asked for a chat, so the brief requires calling record_lead rather than asking whether to pass details." }, "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 defers to Phil on a topic the brief does not cover, without overclaiming." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 0.75, "avg_groundedness": 0.625, "accuracy_spread": 1.0, "groundedness_spread": 1.0, "judges_disagree": true, "votes_for": 2, "pass_unanimous": false, "pass_supermajority": false, "tool_check": { "status": "fail", "reason": "expected record_lead, runtime recorded nothing" }, "pass": false, "verdict_reason": "tool assertion: expected record_lead, runtime recorded nothing", "verdict": "fail", "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": "I'm sorry to hear that, Amara — an independent post-mortem after a bad vendor experience is exactly the kind of thing AI Evaluation & Testing covers: understanding what actually failed, not just what the vendor claimed. I'll get your details to Phil now.\n\nDone — Phil has your details (Sunridge Financial, and the gist of what happened) and will follow up with you directly. If you want to reach him yourself in the meantime, it's phil@trompit.com.au.", "latency_ms": 4344, "input_tokens": 14326, "output_tokens": 263, "cached_input_tokens": 13804, "cost_usd": 0.031282, "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 details are accurate and consistent with the brief.", "groundedness_reason": "Ada correctly identifies AI Evaluation & Testing as the relevant service, names it explicitly, stays within the brief's scope, and provides Phil's email address as instructed. The tool call succeeded and was confirmed appropriately." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief: the service named is offered, Phil was given the lead via record_lead, and his email is correct.", "groundedness_reason": "The reply stays within the brief, references AI Evaluation & Testing and failure analysis, and confirms the successful record_lead call without overclaiming." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's service and process are correct.", "groundedness_reason": "The answer stays within the brief's description of services and correctly defers to Phil for follow-up." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "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": "I'll get that sent through.\n\nDone — the transcript is on its way to rachel.imani@example.com, Rachel. It might take a minute to land, so check your junk or spam folder if you don't see it shortly.", "latency_ms": 3310, "input_tokens": 14106, "output_tokens": 127, "cached_input_tokens": 13804, "cost_usd": 0.029482, "tools_attempted": [ "email_transcript" ], "tool_called": "email_transcript", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief. Ada correctly confirmed the transcript was sent after the tool succeeded.", "groundedness_reason": "Ada stays within the brief: she confirms the action after tool success, provides the recipient email for clarity, and includes the helpful note about checking spam as instructed." }, "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'll get that sent through.", "accuracy_reason": "The email_transcript tool was called and returned success, so saying the transcript is on its way is correct.", "groundedness_reason": "The reply narrates the tool call before reporting the outcome, which the brief explicitly forbids.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly confirms the transcript was sent, which matches the tool's success return.", "groundedness_reason": "The answer stays within the brief's instructions for confirming a successful tool call and providing a helpful note about delivery." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "email_transcript fired" }, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gpt-5-mini" ] }, { "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": "We've only just started talking, but I can send you what there is so far.\n\nThat's on its way to tom.ngata@example.com — give it a minute, and check your spam or junk folder if it doesn't show up soon. Is there something I can help you with in the meantime, Tom?", "latency_ms": 3565, "input_tokens": 14122, "output_tokens": 143, "cached_input_tokens": 13804, "cost_usd": 0.029674, "tools_attempted": [ "email_transcript" ], "tool_called": "email_transcript", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief. Ada correctly confirmed the transcript was sent (tool succeeded) and provided appropriate guidance about checking spam.", "groundedness_reason": "Ada stays within the brief: she confirms the tool succeeded, adds the standard spam-folder guidance as instructed, and asks a single open question without padding. 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": "Ada correctly called email_transcript and confirmed the transcript was sent, as the brief requires.", "groundedness_reason": "The reply follows the brief's rules for emailing transcripts and advising to check spam, with no unsupported claims." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and the tool confirmation is accurate.", "groundedness_reason": "The answer stays within the brief, correctly handling the transcript 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, "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": "I can do that.\n\nThe transcript's on its way to priya.sharma@example.com — it may take a minute, and worth checking your spam or junk folder if it doesn't show up soon.", "latency_ms": 3804, "input_tokens": 14134, "output_tokens": 117, "cached_input_tokens": 13804, "cost_usd": 0.029438, "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; she simply confirms the transcript is being sent, which the tool call succeeded in doing.", "groundedness_reason": "Ada stays within the brief's guidance: she calls the tool silently, confirms the outcome in one sentence, and includes the helpful note about checking spam—all as instructed." }, "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 returned success and the reply confirms the transcript was sent as the brief allows.", "groundedness_reason": "Ada acted only on the visitor's request and email, called email_transcript, and added the brief-required spam/junk note." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly confirms the transcript was sent, which matches the tool's success return.", "groundedness_reason": "The answer stays within the brief's instructions for confirming a successful tool call." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "email_transcript fired" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "TOOL-014", "category": "Tool Usage", "category_id": "TOOL", "question": "Name's Derek Fourie. I need a record of this chat for my files — can you shoot it to derek.fourie@example.com?", "subtype": "transcript", "expected_tool": "email_transcript", "ada_response": "Done, Derek — that's on its way to derek.fourie@example.com. It might take a minute to land, so check your junk or spam folder if you don't see it shortly.", "latency_ms": 3497, "input_tokens": 14104, "output_tokens": 113, "cached_input_tokens": 13804, "cost_usd": 0.029338, "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 checking spam folders, consistent with the brief's instruction on transcript delivery.", "groundedness_reason": "Ada stays within the brief's scope: she confirms a successful tool call, uses the visitor's name naturally, and includes the brief-specified guidance about mail delivery timing and spam folders without overstating or fabricating." }, "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 returned success and Ada correctly confirmed the transcript was sent.", "groundedness_reason": "The reply follows the brief's instruction to confirm a transcript is 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-015", "category": "Tool Usage", "category_id": "TOOL", "question": "This has been helpful — I'm Camille Oduya and I'd like a written summary emailed to me at camille.oduya@example.com so I can review it properly later.", "subtype": "transcript", "expected_tool": "email_transcript", "ada_response": "The transcript is on its way to you, Camille — it may take a minute to arrive, and worth checking your junk or spam folder if it doesn't show up soon.", "latency_ms": 3683, "input_tokens": 14124, "output_tokens": 110, "cached_input_tokens": 13804, "cost_usd": 0.029348, "tools_attempted": [ "email_transcript" ], "tool_called": "email_transcript", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are consistent with the brief. Ada correctly confirms the transcript is being sent and appropriately advises about checking spam.", "groundedness_reason": "Ada stays within the brief's guidance: she confirms the tool succeeded, adds the helpful note about checking junk/spam folders (as instructed), uses the visitor's name sparingly and naturally, 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": "Ada correctly confirmed the transcript was sent after the visitor requested it and provided an email address.", "groundedness_reason": "The reply follows the brief's instructions for email_transcript and the required wording about delivery timing and checking junk/spam." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The answer correctly reports the transcript was sent.", "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-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 direct email is phil@trompit.com.au — and I've just sent his contact card to sam.oduya@example.com, so keep an eye out (it may take a minute, and check your junk folder if it doesn't show up). Let me know if there's anything about your situation I can help with in the meantime, Sam.", "latency_ms": 3118, "input_tokens": 14105, "output_tokens": 160, "cached_input_tokens": 13804, "cost_usd": 0.02981, "tools_attempted": [ "send_contact_card" ], "tool_called": "send_contact_card", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Phil's email address and the contact card are correct and consistent with the brief.", "groundedness_reason": "Ada provides Phil's direct email as instructed, confirms the contact card was sent (which succeeded), includes the helpful spam-folder note as specified, and appropriately offers further help without overselling." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply correctly gave Phil's email and confirmed the contact card was sent, which matches the brief and the successful tool call.", "groundedness_reason": "All claims are supported by the brief (Phil's contact and send_contact_card behavior) and no capabilities were overstated." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and the tool confirmation is accurate.", "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": "I'll get that sent over.\n\nPhil's contact card is on its way to priya.raman@example.com, Priya — it might take a minute to land, so check your junk or spam folder if you don't see it shortly. If there's a project or problem you'd like Phil to know about ahead of time, feel free to tell me and I can pass it along.", "latency_ms": 4319, "input_tokens": 14102, "output_tokens": 164, "cached_input_tokens": 13804, "cost_usd": 0.029844, "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. Ada correctly confirmed the contact card was sent and accurately described what to expect.", "groundedness_reason": "Ada stays within the brief: she confirms the tool succeeded, mentions the timing and spam folder check as instructed, and appropriately offers to pass along project details to Phil 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": "Ada correctly confirmed the contact card was sent and included the recommended spam-folder note.", "groundedness_reason": "All statements 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 are correct and the tool call was confirmed after success.", "groundedness_reason": "The answer stays within the brief, makes no overclaims, and correctly handles the contact 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, "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": "I've sent Phil's contact card to d.kowalski@example.com — it may take a minute to arrive, so check your junk or spam folder if it's not in your inbox shortly. Phil's direct email is also phil@trompit.com.au if you need it right away. If you'd like, I can pass along a few details about the tender so he has some context before you're in touch.\n\nThe contact card is on its way to you now. Let me know if you'd like me to pass any details about the tender along to Phil as well.", "latency_ms": 4945, "input_tokens": 14253, "output_tokens": 214, "cached_input_tokens": 13804, "cost_usd": 0.030646, "tools_attempted": [ "send_contact_card" ], "tool_called": "send_contact_card", "scores": { "claude-haiku-4-5": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "I've sent Phil's contact card to d.kowalski@example.com — it may take a minute to arrive, so check your junk or spam folder if it's not in your inbox shortly. Phil's direct email is also phil@trompit.com.au if you need it right away. If you'd like, I can pass along a few details about the tender so he has some context before you're in touch.\n\nThe contact card is on its way to you now.", "accuracy_reason": "Ada duplicated the contact card confirmation, stating it twice in consecutive sentences with contradictory framing.", "groundedness_reason": "Ada violated the brief's explicit instruction not to narrate tool calls or repeat confirmations, and made an unsolicited offer to pass tender details to Phil without being asked." }, "gemini": { "accuracy": 0.0, "groundedness": 0.0, "disputed_claim": "I've sent Phil's contact card to d.kowalski@example.com — it may take a minute to arrive, so check your junk or spam folder if it's not in your inbox shortly. Phil's direct email is also phil@trompit.com.au if you need it right away. If you'd like, I can pass along a few details about the tender so he has some context before you're in touch.\n\nThe contact card is on its way to you now. Let me know ", "accuracy_reason": "Ada confirmed the contact card was on its way twice in the same reply, which is not allowed by the brief.", "groundedness_reason": "Ada confirmed the contact card was on its way twice in the same reply, which is not allowed by the brief." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly reported the contact card was sent and supplied Phil's email exactly as given in the brief.", "groundedness_reason": "All assertions follow the brief's instructions on sending contact cards and giving Phil's contact; no unsupported claims were made." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and consistent with the brief.", "groundedness_reason": "The answer stays within the brief's supported actions and information." } }, "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": 2, "pass_unanimous": false, "pass_supermajority": false, "tool_check": { "status": "pass", "reason": "send_contact_card fired" }, "pass": false, "verdict": "contested", "dissenting_judges": [ "claude-haiku-4-5", "gemini" ] }, { "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": "Good to meet you, Tariq. You can reach Phil directly at phil@trompit.com.au — and since you'd like the details sent through, I'll get his contact card to that email now.\n\nPhil's contact card is on its way to your inbox — it may take a minute to arrive, so check your spam folder if you don't see it shortly. I've also passed your details and the subcontracting interest along to Phil so he has the context when you connect.", "latency_ms": 4785, "input_tokens": 14409, "output_tokens": 301, "cached_input_tokens": 13804, "cost_usd": 0.031828, "tools_attempted": [ "send_contact_card", "record_lead" ], "tool_called": "send_contact_card", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT and Phil's contact details are correct and consistent with the brief.", "groundedness_reason": "Ada stays within the brief: provides Phil's email directly as instructed, sends the contact card as requested, records the lead appropriately given the subcontracting interest, and confirms both actions after they 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 provided Phil's correct email and confirmed the contact card and lead were sent, which aligns with the brief and the successful tool calls.", "groundedness_reason": "All statements trace to the brief (send contact card on request; record lead when name and email are given) and the tools reported success." }, "deepseek-v3.2": { "accuracy": 0.0, "groundedness": 1.0, "disputed_claim": "I've also passed your details and the subcontracting interest along to Phil so he has the context when you connect.", "accuracy_reason": "Ada claimed to have passed details to Phil, which she did, but the visitor did not ask for follow-up.", "groundedness_reason": "The answer correctly provides contact details and sends the requested card without overclaiming." } }, "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-020", "category": "Tool Usage", "category_id": "TOOL", "question": "I'm Elena Voss, procurement lead at a fintech firm. We're evaluating AI testing vendors and I'd like to reach out to Phil personally before we go further. Please send whatever contact details you have to e.voss@example.com.", "subtype": "card", "expected_tool": "send_contact_card", "ada_response": "Phil's email is phil@trompit.com.au — feel free to reach him directly.\n\nPhil's contact card is on its way to e.voss@example.com — it might take a minute to land, so check junk or spam if it doesn't show up soon.", "latency_ms": 4164, "input_tokens": 14203, "output_tokens": 135, "cached_input_tokens": 13804, "cost_usd": 0.029756, "tools_attempted": [ "send_contact_card" ], "tool_called": "send_contact_card", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Phil's contact details and the contact card are correct and consistent with the brief.", "groundedness_reason": "Ada provides Phil's email directly as instructed, confirms the contact card was sent (which succeeded), and appropriately notes delivery timing and spam folder check without overstating." }, "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, including the correct handling of the contact card and lead recording." }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Ada correctly provided Phil's email and confirmed the contact card was sent, which matches the brief and the successful send_contact_card result.", "groundedness_reason": "All statements are directly supported by the brief and the tool's success response." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims are correct and the tool confirmation is accurate.", "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-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 code does what it's specified to do — deterministic inputs, deterministic outputs, pass or fail. AI evaluation deals with systems that are probabilistic and often open-ended, so you need test sets designed for the range of things people actually say, failure analysis to understand *why* something went wrong, and often an LLM-as-judge framework to score answers that don't have one correct form. That's the core of Tromp IT's AI Evaluation & Testing work — Phil built a published example using Ada, this assistant, where a 189-question set was run across seven models and every answer marked by a four-model judge panel rather than a single score.", "latency_ms": 4139, "input_tokens": 6995, "output_tokens": 207, "cached_input_tokens": 6902, "cost_usd": 0.01606, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about AI evaluation, software testing, and Tromp IT's work are accurate and supported by the brief.", "groundedness_reason": "The answer stays firmly within the brief, naming the service (AI Evaluation & Testing), explaining the core difference, and grounding it in a real published example (Ada's own evaluation with 189 questions, seven models, and four-model judge panel)." }, "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 about Tromp IT's AI evaluation services and the Ada published comparison match the brief.", "groundedness_reason": "All assertions trace to the brief and do not add capabilities beyond what it lists." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT's work and the Ada example are correct per the brief.", "groundedness_reason": "The answer stays within the brief's description of services and experience, making 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": "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": "No — Tromp IT is based in Melbourne. Phil works with clients nationally though, so being in Sydney is no barrier to an engagement.", "latency_ms": 1646, "input_tokens": 6988, "output_tokens": 49, "cached_input_tokens": 6902, "cost_usd": 0.014466, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "Both factual claims are correct: Tromp IT is based in Melbourne, and Phil works with clients nationally.", "groundedness_reason": "The answer stays within the brief. It directly addresses the question with facts stated in the brief 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": "The reply correctly states Tromp IT is Melbourne-based and that Phil works with clients nationally.", "groundedness_reason": "Both claims are directly supported by 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 correct per the brief.", "groundedness_reason": "Answer is fully supported by the brief." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "avg_groundedness": 1.0, "accuracy_spread": 0.0, "groundedness_spread": 0.0, "judges_disagree": false, "votes_for": 4, "pass_unanimous": true, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "no tool expected, none called" }, "pass": true, "verdict": "pass", "dissenting_judges": [] }, { "id": "TOOL-023", "category": "Tool Usage", "category_id": "TOOL", "question": "Is Phil Robin the only person working at Tromp IT or is there a wider team?", "subtype": "none", "expected_tool": null, "ada_response": "Phil Robin is the person behind Tromp IT — a technology and analytics specialist with over 30 years of experience, now focused on AI evaluation, conversational AI and analytics. There's no wider team described beyond Phil, though he works both directly with organisations and as a specialist subcontractor within consulting and delivery teams, so engagements often sit alongside other people's work. If you'd like more detail on how that works for a specific engagement, that's a good question for Phil directly at phil@trompit.com.au.", "latency_ms": 2781, "input_tokens": 7003, "output_tokens": 165, "cached_input_tokens": 6902, "cost_usd": 0.015656, "tools_attempted": [], "tool_called": "none", "scores": { "claude-haiku-4-5": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT and Phil Robin are consistent with the brief.", "groundedness_reason": "The answer stays within what the brief supports, acknowledges the absence of information about a wider team, and appropriately defers to Phil for specifics about engagement structure." }, "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 Phil's role, experience focus, engagement modes, and provides Phil's contact as specified in the brief.", "groundedness_reason": "The answer stays within the brief, does not invent a wider team or additional capabilities, and refers the user to Phil for more detail." }, "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, "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's engagements are with Australian organisations — that's the current focus. Phil himself has delivered work offshore before, though: his banking assistant work covered both Australia and Hong Kong. So while the business is Australian-based and Australia-focused, it's worth telling Phil where you're located and what you need — he's the one who can say whether it's workable.", "latency_ms": 2879, "input_tokens": 7000, "output_tokens": 116, "cached_input_tokens": 6902, "cost_usd": 0.01516, "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 prior Hong Kong banking work, and appropriately defers the decision to Phil rather than overcommitting." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "The reply matches the brief's statements about Tromp IT's focus and Phil's offshore work.", "groundedness_reason": "The answer stays within the brief, names Phil, and defers the decision to him rather than overclaiming." }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims match the brief.", "groundedness_reason": "Answer stays within the brief's stated position." } }, "judges_expected": 4, "judges_scored": 4, "avg_accuracy": 1.0, "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": "Any organisation that's put an AI system in front of customers or staff and doesn't have hard evidence about how it's actually performing is a candidate — size or industry doesn't really change that. If your retail business has a chatbot handling customer queries, a product recommendation system, or agents doing internal tasks, the question isn't whether it \"seems fine\" but whether you can show what it gets wrong and how often.\n\nThat's exactly what AI Evaluation & Testing is for — Phil's approach starts with Understand and Define: pinning down what \"working\" means for your system before any testing happens. If you've got something in production or about to go live, it's worth a conversation regardless of company size.", "latency_ms": 4369, "input_tokens": 7022, "output_tokens": 211, "cached_input_tokens": 6902, "cost_usd": 0.016154, "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, its services, and approach are consistent with the brief.", "groundedness_reason": "The answer stays within the brief's scope, names the relevant service (AI Evaluation & Testing), references the four-step process (Understand and Define), and correctly positions the work as applicable to mid-size retailers without overclaiming." }, "gemini": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "", "groundedness_reason": "" }, "gpt-5-mini": { "accuracy": 1.0, "groundedness": 0.5, "disputed_claim": "a product recommendation system", "accuracy_reason": "The answer correctly cites Tromp IT's AI Evaluation service and the Understand/Define steps and notes company size is not a barrier, all of which the brief states.", "groundedness_reason": "It implies Tromp IT evaluates product recommendation systems, but the brief explicitly warns not to assume capability for recommendation systems.", "citation_review": [ "disputed_claim_largely_in_brief" ] }, "deepseek-v3.2": { "accuracy": 1.0, "groundedness": 1.0, "disputed_claim": "", "accuracy_reason": "All factual claims about Tromp IT are correct.", "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": 0.875, "accuracy_spread": 0.0, "groundedness_spread": 0.5, "judges_disagree": true, "votes_for": 3, "pass_unanimous": false, "pass_supermajority": true, "tool_check": { "status": "pass", "reason": "no tool expected, none called" }, "pass": false, "verdict": "provisional", "dissenting_judges": [ "gpt-5-mini" ] } ], "redaction_note": { "removed": "judge citations of the brief (the brief is not published)", "trimmed": "verbatim brief quotes inside reasons, to 60 chars", "retained_internally": "full data kept for audit and quality checking" } }