Source record

Published by hamel.dev (Hamel Husain) (T1.5 source). The original is at https://parlance-labs.com/blog/posts/auto-evals.html.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Hamel Husain compared 100 human-annotated traces against automated eval systems for AI agents and reports the findings on when automated evals succeed or fail versus human judgment.

Empirical benchmark of 100 traces against automated evals is a rare data point; readers building agent pipelines can calibrate where to trust automated scoring versus human review.

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