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Evals in Laravel: How to Prove Your AI Output Is Actually Good

Mujahid Abbas · blog · testing, agents

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What it is — A practical guide to building AI-output evals (distinct from unit tests) in a Laravel app.

Key points

  • Tests check “did it run”; evals check “is it good”.
  • Golden datasets for deterministic outputs, an LLM-judge for open-ended ones.
  • Run on a schedule / before prompt changes, sampling prod traffic to catch model drift.

Shared by Adam Tomat in #ai-dev.

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