Your AI Product Needs Evals
3.96T1.5 sourcehamel.dev (Hamel Husain)
Source record
Published by hamel.dev (Hamel Husain) (T1.5 source). The original is at https://hamel.dev/blog/posts/evals/.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryPractitioner essay arguing that robust evaluation systems are the missing foundation in most LLM product efforts. Uses a real estate AI assistant case study (Rechat) to walk through building eval pipelines, inspecting data, and iterating quickly on prompts and models.
Why it mattersHands-on, case-study-driven playbook for building LLM evals from a working consultant. Useful reference for anyone shipping domain-specific AI products.

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