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Free Lesson
Learn How To Evaluate AI Agents: A Practical Framework
45 min
Oct 8, 2026 7:00 PM
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What you'll learn
Define Your Agent's Goal, Scope, and Key Scenarios
Learn to write down what your agent should handle, decline, and treat as success before you build or test anything.
Write Test Cases With Clear Acceptance Criteria
Learn to turn each key scenario into a test prompt with specific pass criteria, like an HR bot citing the PTO policy.
Run a Baseline and Fix Failures in a Loop
Learn to run your test cases, sort failures by type, and repeat evaluate, analyze, improve until you hit your targets.
Expand Into Four Types of Test Cases
Learn to add core, variation, architecture, and edge case tests so you can tell what broke and where it broke.
Set a Cadence That Catches Drift Early
Learn to decide when to rerun your suite after a model, prompt, or knowledge base change, before users notice.
Why this topic matters
An agent that nails your demo can still fall apart on its first real user. The fix is not more prompting. It is a short list of test cases with clear pass criteria, so a failure tells you what broke and where. Skip that and every model or prompt change is a guess, and you find out from your users.
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