Source record

Published by hamel.dev (Hamel Husain) (T1.5 source). The original is at https://hamel.dev/blog/posts/eval-tools/.

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 describes a side-by-side evaluation of three AI evals tools—LangSmith, Braintrust, and Arize Phoenix—performed by a panel of data scientists who each completed the same assignment. The post distills recurring criteria, emphasizing workflow friction, developer experience, and iteration speed over feature lists.

A rare, structured vendor comparison conducted by practitioners doing identical work, yielding concrete criteria for choosing an evals tool rather than a stale feature matrix.

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