---
title: "What are evals in AI?"
description: "An evaluation suite is a repeatable set of real cases with known good outcomes, run before each release to measure quality and catch regressions when promp"
canonical: https://sudosapient.si/answers/what-are-evals-in-ai
updated: 2026-10-27
publisher: Sudo Sapient (https://sudosapient.com/)
---
# What are evals in AI?

**An evaluation suite is a repeatable set of real cases with known good outcomes, run before each release to measure quality and catch regressions when prompts, models or tools change.**

An eval set is a collection of real cases with known good outcomes that you run every time a prompt, model or tool changes. Start with 50–200 cases during the prototype and track a few metrics, such as field accuracy, correct routing rate or how much reviewers edit drafts. Without evals, every change becomes a debate about whether outputs look better; with them, it is a number that can block a bad release.

## Go deeper

- [Evals (evaluation suite): Definition](https://sudosapient.si/terms/evals)

## More on building blocks

- [What are AI guardrails?](https://sudosapient.si/answers/what-are-ai-guardrails)
- [What is RAG?](https://sudosapient.si/answers/what-is-rag)
- [What is human-in-the-loop AI?](https://sudosapient.si/answers/what-is-human-in-the-loop-ai)