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Build a Small LLM Evaluation Dataset That Catches Regressions

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AI & Agents intermediate 7 min read $0.01 Updated 2026-10-19

How to build and use an LLM evaluation set: sourcing real cases, covering edge and failure cases, writing checkable expectations, code and model graders, splitting dev and holdout, tracking scores per change and avoiding overfitting the prompt.

Changing a prompt or model without a test set is guessing. Build a 50 to 200 case dataset from real traffic, label expected behavior, add graders and run it on every change.

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#llm#evaluation#testing#regression#prompts

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