AI Glossary Term

What does “Eval Harness” mean?

Definition

A repeatable evaluation framework that runs prompts, datasets, and scoring logic across model versions.

How Eval Harness works

Diagram for Eval Harness, steps in order: Test sets and prompts; then Run each model version; then Score with metrics or a judge; then Report and compare over time.Test sets and promptsRun each model versionScore with metrics or a judgeReport and compare over time

Example

Before shipping a new prompt, a team runs it against 500 saved test questions and compares scores with the previous version. If scores drop on a category, they investigate before release.

Why it matters

Repeatable tests catch regressions that spot-checking misses. They make model and prompt changes safer to ship.

Common questions

What goes into a harness?

Datasets, prompt templates, model calls, scoring logic, and a report.

Does it replace human review?

No. It handles routine checks at scale; people still review samples and edge cases.

Are there open tools?

Yes. Several open-source evaluation frameworks exist, and many teams also build their own.

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See also