"It worked once" is not a quality bar. This module teaches evals — automated tests for your agent. You'll learn why a handful of demo questions hides the long tail of failures, how four different metrics (exact, contains, semantic, and LLM-as-judge) can disagree about the same answer, how to grade judgement calls with a rubric, where good test cases come from, and how comparing runs catches regressions. By the end you can run a suite against your agent, read which cases failed and why, and catch a regression before it ships.
