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Eval-Driven Development

An AI engineering practice where a versioned evaluation set gates every change, so AI quality is measured and protected the way unit tests protect traditional code.

What Is Eval-Driven Development?

AI features are nondeterministic, so "it looked fine in the demo" is not a quality signal. Eval-driven development maintains a curated test set with scored expectations and runs it on every prompt, model, or retrieval change, blocking regressions before they ship. It borrows the discipline of test-driven development and applies it to LLM behavior using metrics like accuracy, faithfulness, and LLM-as-a-judge scores. It is a defining trait of mature AI-First teams.

How Groovy Web Uses This

We stand up eval-driven development for client AI products, building a versioned eval set that gates every model and prompt change so quality never regresses silently.

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Our AI-First engineers build production systems using Eval-Driven Development technology. Talk to us.

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