How to Evaluate AI Agents: LLM-as-Judge Tutorial (opens in new tab)

Evaluate AI agent quality with LLM-as-Judge and trajectory analysis. Catch silent failures, wasted tokens, and hallucinations before production. Python tutorial with code. Your AI agent just returned "BA117 at 7PM ($450)" - correct answer, 5-star rating. What you didn't see: it made 3 unnecessary API calls and hallucinated a price check. Traditional pass/fail metrics rated this "perfect." This is the silent failure problem. AI agents return plausible answers while making unnecessary API calls...