Source record

Published by eugeneyan.com (Eugene Yan) (T1.5 source). The original is at https://eugeneyan.com//writing/eval-process/.

Pipeline notes

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

Argues that using an LLM-as-judge is not sufficient to rescue a flawed AI product. Recommends instead applying the scientific method, practicing eval-driven development, and monitoring AI output to systematically improve product quality.

Counterweights the LLM-as-judge hype with a process-first stance. Worth reading for teams treating evaluation tooling as a substitute for disciplined development practice.

Cited by

No citations on record.