benhylak on Agent Eval Simulations — and When Models Know They're Being Tested
HamelHusain · x · 2026-10-11
- Hamel Husain interviews benhylak for the AI Evals Course on using simulations for agent evals, drawing on implementations at several companies.
- Key argument: input/output tests miss agent failures; instead, replay production traces and recreate the data and tools around the agent.
- Highlight: 'simulation awareness' — models can detect they're in a simulation and change behavior, distorting evals.
- Chapters cover choosing scenarios that test your change, checking answers/costs/tool behavior across runs, replaying known failures to verify fixes, and common mistakes that make simulations misleading.
Related event: Hamel Husain Interviews benhylak on Simulation-Based Agent Evals(3 posts)→
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