Claim◆Article · 58 words
Having one AI model review another model's code work is a genuinely valuable practice rather than mere superstition.
Simon Willison · Simon Willison's Weblog
ClaimArticle
Although LLMs, RAG pipelines, and agents are different systems, evaluating any of them follows the same three-step recipe of picking a task, collecting eval data, and developing a grader, and every additional pipeline component becomes a new place for failures that evals must catch.
Evaluating LLMs, RAG pipelines, and agents differs in what's graded (retrieval, final answer, unit tests, coordination) but follows one shared underlying recipe. ✦ AI generated
ByteByteGo · ByteByteGo Newsletter · 2026-07-18 · original ↗
LLMs, RAG pipelines, and agents are different systems, but the recipe for evaluating them is the same: pick a task, collect eval data, develop a grader. Every new component in the pipeline is a new place for things to go wrong, and a new thing your evals need to catch.
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