--- title: Eval-driven development: Build and evaluate reliable AI... description: A detailed walkthrough of an 8-stage evaluation framework for AI agents, developed while building an IT self-service agent quickstart on Red Hat OpenShift AI.... canonical: https://daily.dev/posts/eval-driven-development-build-and-evaluate-reliable-ai-agents-xenqh9mz3 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Eval-driven development: Build and evaluate reliable AI agents | daily.dev og:description: A detailed walkthrough of an 8-stage evaluation framework for AI agents, developed while building an IT self-service agent quickstart on Red Hat OpenShift AI.... og:url: https://daily.dev/posts/eval-driven-development-build-and-evaluate-reliable-ai-agents-xenqh9mz3 og:image: https://api.daily.dev/og/posts/XeNqh9Mz3.png og:image:alt: Eval-driven development: Build and evaluate reliable AI agents og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Eval-driven development: Build and evaluate reliable AI agents **[Red Hat Developer](https://daily.dev/sources/rhdev)** · 19 min read · 1 upvotes · 0 comments ## Summary A detailed walkthrough of an 8-stage evaluation framework for AI agents, developed while building an IT self-service agent quickstart on Red Hat OpenShift AI. Covers the progression from manual testing to automated multi-turn conversation evaluation using DeepEval, including custom metrics with LLM-as-judge, conversation generation, known-bad test cases, CI/CD integration, and cost tracking. Key insights include the need for capable evaluator models, the importance of testing your metrics against known failures, and practical token cost estimates for running evaluations at scale. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Evaluate AI agents with IBM CLEAR & EvalHub on OpenShift AI](https://daily.dev/posts/evaluate-ai-agents-with-ibm-clear-evalhub-on-openshift-ai-k7wdxxyfi) · Red Hat Developer · 0 upvotes · 0 comments - [AI Evals for Solo Developers 2026: A Practical Guide](https://daily.dev/posts/ai-evals-for-solo-developers-2026-a-practical-guide-ms6ijzdsf) · Alex CloudStar · 0 upvotes · 0 comments - [AI agent evaluations are part of the product](https://daily.dev/posts/ai-agent-evaluations-are-part-of-the-product-u3ha51aoc) · The New Stack · 0 upvotes · 0 comments - [AI quickstart: Self-service agent for IT process automation](https://daily.dev/posts/ai-quickstart-self-service-agent-for-it-process-automation-onck4fj2w) · Red Hat Developer · 1 upvotes · 0 comments - [A methodical approach to agent evaluation](https://daily.dev/posts/a-methodical-approach-to-agent-evaluation-6t7zk2yru) · Google Cloud · 1 upvotes · 0 comments --- Tags: [#python](https://daily.dev/tags/python), [#cicd](https://daily.dev/tags/cicd), [#ai-agents](https://daily.dev/tags/ai-agents) [View this post on daily.dev](https://daily.dev/posts/eval-driven-development-build-and-evaluate-reliable-ai-agents-xenqh9mz3) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Eval-driven development: Build and evaluate reliable AI agents","url":"https://daily.dev/posts/eval-driven-development-build-and-evaluate-reliable-ai-agents-xenqh9mz3","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/eval-driven-development-build-and-evaluate-reliable-ai-agents-xenqh9mz3"},"datePublished":"2026-03-23T07:17:59.219Z","dateModified":"2026-03-23T07:18:47.619Z","description":"A detailed walkthrough of an 8-stage evaluation framework for AI agents, developed while building an IT self-service agent quickstart on Red Hat OpenShift AI....","image":"https://developers.redhat.com/sites/default/files/styles/share/public/AgenticAI-general-1920x1080.png?itok=2XKv4F1A","thumbnailUrl":"https://developers.redhat.com/sites/default/files/styles/share/public/AgenticAI-general-1920x1080.png?itok=2XKv4F1A","isAccessibleForFree":true,"articleSection":"Red Hat Developer","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Red Hat Developer","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/2a8895f3216c4900bdc455585a4ad3e4","url":"https://daily.dev/sources/rhdev"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/eval-driven-development-build-and-evaluate-reliable-ai-agents-xenqh9mz3","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"python,cicd,ai-agents","timeRequired":"PT19M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Red Hat Developer","item":"https://daily.dev/sources/rhdev"},{"@type":"ListItem","position":3,"name":"Eval-driven development: Build and evaluate reliable AI agents"}]} ```