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Building reliable AI applications requires systematic evaluation (evals) of Claude's outputs.

Eval Types

  • Human eval — humans rate outputs for quality
  • Model-graded eval — Claude grades Claude's outputs
  • Code-based eval — unit tests on structured outputs

Best Practices

  • Build a test set of 50+ representative examples
  • Test prompt changes against the full eval set
  • Track accuracy, format compliance, latency, and cost

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Claude University: Evaluation & Testing — How to Measure Claude's Performance
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Claude University: Evaluation & Testing — How to Measure Claude's Performance
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Reference:

Evaluation documentation

image for linkhttps://docs.anthropic.com/en/docs/build-with-claude/evaluation

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