Free Lesson
How to Evaluate AI Agents: From Traces to Release Decisions
30 min
Dec 10, 2026 11:00 AM
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What you'll learn
Check What the Agent Actually Did
Compare the final message, resulting state, and retained trace to detect plausible but incorrect success.
Test the Evaluator Against Known Mistakes
Use labeled cases and held-out tasks to check false passes, false failures, and evaluator leakage.
Decide Whether an Agent Change Should Ship
Compare versions on the same tasks and weigh uncertainty and critical failures before release.
Why this topic matters
An agent can report success even when its actions produced the wrong result. Learn to compare its final message with the resulting state, test whether an evaluator can detect mistakes, and decide whether a change deserves release. We will reuse worked agent examples to examine evidence, held-out tasks, and critical failures.
