hardAnthropic OpenAI Sierra

How do you evaluate an AI agent, beyond just checking the final answer?

Agents fail in the middle, not just the end, so final-answer-only scoring hides the real problems and rewards lucky paths. The signal is evaluating the whole trajectory and localizing where it broke. Here is the answer.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

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LEARN THE BACKGROUND

These lessons teach the material this question tests, in order and from the beginning.

Agent Engineering·Evaluating agentsPremium13mWhy scoring the final answer tells you almost nothingAn agent that reaches the right answer through eight wrong turns scores identically to one that went straight there, and the two are not the same system. This lesson is what to look at instead, and why it changes which problems you can fix.

UP NEXT ON YOUR JOURNEY

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