# How Evals Help Build Reliable AI

DevFeed: [How Evals Help Build Reliable AI](<https://devfeed.tech/articles/how-evals-help-build-reliable-ai-40857.md>)

Original publisher: [Read original article](<https://mutto.fyi/posts/2026/01/evals-help-build-reliable-ai/>)

Published: 2026-01-18T00:00:00Z

Content type: article

Language: en

Sources: [Mutt0-ds Notes](<https://devfeed.tech/sources/mutt0-ds-notes.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [test](<https://devfeed.tech/topics/test.md>), [Test-driven development](<https://devfeed.tech/topics/tdd.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [ai](<https://devfeed.tech/tags/ai.md>), [development](<https://devfeed.tech/tags/development.md>), [evals](<https://devfeed.tech/tags/evals.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [prompt](<https://devfeed.tech/tags/prompt.md>), [regression](<https://devfeed.tech/tags/regression.md>), [tests](<https://devfeed.tech/tags/tests.md>)

## AI overview

The article explains how eval-driven development can help teams build more reliable AI tools. It describes evals as non-deterministic tests that pair questions with expected behavior and can detect regressions after changes to prompts, agent logic, tool definitions, or orchestration code.

## Source excerpt

I finished 2025 with a negative AI post, so let's start 2026 with a positive one. I'm leading a project for an AI-based tool, and something...