Everything on AI agent evaluation — from first principles to CI integration.
Agents make decisions, call tools, and branch based on state. Unit tests and conversation replays don't work. Here's what does.
Read →Most eval cases are too narrow. Here's a framework for writing scenarios that surface the real-world failures your users will hit.
Read →The most dangerous regressions are the ones you don't see coming. How to detect them before your users do.
Read →Step-by-step: GitHub Actions, CircleCI, eval thresholds, and what to do when an eval fails in CI.
Read →A 95% pass rate sounds great until you realize the 5% that fails is your most important customer path. How to interpret eval scores honestly.
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