Lesson 1070 of 2116
Agent Quality Evaluation: Beyond Single-Step Accuracy
Single-step accuracy doesn't measure agent quality. Trajectory quality, task-completion rate, and human-judgment matching do.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2agent evaluation
- 3trajectory quality
- 4task completion
Concept cluster
Terms to connect while reading
Section 1
The premise
Agent quality requires trajectory-level evaluation; step-by-step accuracy misses the actual outcome.
What AI does well here
- Evaluate task-completion rate (did the agent finish what was asked)
- Evaluate trajectory quality (was the path reasonable)
- Compare to human-judgment ground truth on representative tasks
- Track quality over time as system updates
What AI cannot do
- Substitute step accuracy for trajectory quality
- Eliminate the human-judgment component of evaluation
- Predict trajectory quality from training data alone
Key terms in this lesson
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