Eugene Yan • 4/20/2025

An LLM-as-Judge Won't Save The Product—Fixing Your Process Will

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The article critiques the over-reliance on tools like LLM-as-judge for product evaluation, advocating instead for a rigorous, scientific process. It details a cycle of data observation, annotation, hypothesis testing, and experimentation—termed Eval-Driven Development—to systematically improve AI products, reduce defects, and build user trust.

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#product development #data analysis #LLM Evaluation
An LLM-as-Judge Won't Save The Product—Fixing Your Process Will

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