agent-evaluation

lesson

llm-eval testing conversational-ai test-design simulated-users observability agent-evaluation

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What a 58/58-green conversational eval suite does not tell you: five check blind spots and an over-cooperative simulator

Context An LLM onboarding conversation has an eval harness: five scenarios, an LLM-driven simulated user, eleven to thirteen assertions per run. It reported 58/58 checks passed . Driving the same flow through a real browser in the same session surfaced defects in every category the suite claims to…

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