Free Lesson
AI Agent Evals: Test What Matters for Your Agent
Part of Build Better AI Agents: Architecture, Harnesses, and Evals
30 min
Sep 21, 2026 6:00 PM
By continuing, you agree to Maven's Terms and Privacy Policy.
What you'll learn
Define success and choose the right checks
Turn real tasks and failures into evals using code checks, LLM judges, and human review.
Match your evals to the agent you're building
Learn what to test for coding, research, conversational, and computer-use agents, and where generic scores fall short.
Use evals to improve your agent's harness
Inspect traces, identify what to change, and rerun evals to check that your fix helps without breaking other tasks.
Why this topic matters
Your research agent cites sources that don't support its claims. Your support agent says it booked an appointment, but nothing changed in the system. A generic quality score can hide both failures. I'll cover the foundations of agent evals, show how success criteria change across agent types, and explain how to use the results to improve your harness without breaking what already works.
You'll learn from
Hugo Bowne-Anderson
AI and data scientist, consultant, educator of 6+ million students (ex-Yale)
COACHED TEAMS AT
