--- title: Agent Evaluation Readiness Checklist | daily.dev description: A comprehensive step-by-step checklist for evaluating AI agents in production, covering five phases: pre-eval preparation (manual trace review, success... canonical: https://daily.dev/posts/agent-evaluation-readiness-checklist-dwlf3xvtr twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Agent Evaluation Readiness Checklist | daily.dev og:description: A comprehensive step-by-step checklist for evaluating AI agents in production, covering five phases: pre-eval preparation (manual trace review, success... og:url: https://daily.dev/posts/agent-evaluation-readiness-checklist-dwlf3xvtr og:image: https://api.daily.dev/og/posts/dwlF3XvTr.png og:image:alt: Agent Evaluation Readiness Checklist 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. # Agent Evaluation Readiness Checklist **[LangChain](https://daily.dev/sources/langchain)** · 20 min read · 0 upvotes · 0 comments ## Summary A comprehensive step-by-step checklist for evaluating AI agents in production, covering five phases: pre-eval preparation (manual trace review, success criteria definition, error analysis), evaluation level selection (single-step, full-turn, multi-turn), dataset construction (unambiguous tasks, positive/negative cases, seed examples), grader design (code-based vs LLM-as-judge, binary pass/fail, calibration), and production readiness (CI/CD integration, online evals, feedback flywheels). Key principles include starting with trace-level evals, separating capability from regression evals, grading outcomes not exact paths, and using custom evaluators derived from your own error analysis rather than generic metrics. LangSmith is used throughout as the primary tooling. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Agent Evaluation Readiness Checklist](https://daily.dev/posts/agent-evaluation-readiness-checklist-xrjseguth) · LangChain · 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 - [The Roadmap to Mastering AI Agent Evaluation](https://daily.dev/posts/the-roadmap-to-mastering-ai-agent-evaluation-mb2gy2ef7) · Machine Learning Mastery · 2 upvotes · 0 comments - [Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned](https://daily.dev/posts/evaluating-ai-agents-in-practice-benchmarks-frameworks-and-lessons-learned-tohpewvfd) · InfoQ · 2 upvotes · 0 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#langchain](https://daily.dev/tags/langchain), [#langsmith](https://daily.dev/tags/langsmith) [View this post on daily.dev](https://daily.dev/posts/agent-evaluation-readiness-checklist-dwlf3xvtr) ```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":"Agent Evaluation Readiness Checklist","url":"https://daily.dev/posts/agent-evaluation-readiness-checklist-dwlf3xvtr","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/agent-evaluation-readiness-checklist-dwlf3xvtr"},"datePublished":"2026-07-08T19:22:55.959Z","dateModified":"2026-07-08T19:23:23.304Z","description":"A comprehensive step-by-step checklist for evaluating AI agents in production, covering five phases: pre-eval preparation (manual trace review, success...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/6c7147c5bab1ed4e4a25ad6e3c17d3c6?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/6c7147c5bab1ed4e4a25ad6e3c17d3c6?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"LangChain","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":"LangChain","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/0f4f2629e0724a849823f8cd0d913e13","url":"https://daily.dev/sources/langchain"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/agent-evaluation-readiness-checklist-dwlf3xvtr","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"llm,ai-agents,langchain,langsmith","timeRequired":"PT20M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"LangChain","item":"https://daily.dev/sources/langchain"},{"@type":"ListItem","position":3,"name":"Agent Evaluation Readiness Checklist"}]} ```