--- title: How Do We Know If an AI Is Actually Good? | daily.dev description: A beginner-friendly introduction to AI evaluation — the practice of testing AI systems to measure accuracy, safety, consistency, helpfulness, and bias. Covers... canonical: https://daily.dev/posts/how-do-we-know-if-an-ai-is-actually-good--s4nmttihx twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: How Do We Know If an AI Is Actually Good? | daily.dev og:description: A beginner-friendly introduction to AI evaluation — the practice of testing AI systems to measure accuracy, safety, consistency, helpfulness, and bias. Covers... og:url: https://daily.dev/posts/how-do-we-know-if-an-ai-is-actually-good--s4nmttihx og:image: https://api.daily.dev/og/posts/S4NmtTIHx.png og:image:alt: How Do We Know If an AI Is Actually Good? 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. # How Do We Know If an AI Is Actually Good? **[Medium](https://daily.dev/sources/medium_js)** · 3 min read · 1 upvotes · 0 comments ## Summary A beginner-friendly introduction to AI evaluation — the practice of testing AI systems to measure accuracy, safety, consistency, helpfulness, and bias. Covers the two main evaluation approaches (automatic and human), uses Anthropic's Claude evals as a real-world example, and highlights open challenges like measuring reasoning quality and honesty. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What are the main things teams measure when evaluating an AI model? Teams typically look at five core dimensions: accuracy (whether answers are correct), safety (whether harmful requests are refused), consistency (whether rephrased questions get the same answer), helpfulness (whether the answer is actually useful), and bias (whether the AI treats all groups fairly). Most serious teams combine automatic checks with human review to cover both factual and open-ended tasks. _daily.dev surfaces practical explainers for developers trying to judge AI tool quality before adopting them._ ### What are AI evals and how does Anthropic use them for Claude? Evals are structured test sets designed to probe specific model behaviors, such as giving correct factual answers, refusing dangerous requests, or behaving consistently across languages. Anthropic runs these evals against Claude, and re-runs them every time the model is updated to confirm nothing broke in the new version. _Developers evaluating Claude updates can follow AI evaluation practices like these on daily.dev._ ## Similar posts on daily.dev - [Testing AI systems: a practical guide for engineering teams](https://daily.dev/posts/testing-ai-systems-a-practical-guide-for-engineering-teams-95owulvhm) · Netguru · 0 upvotes · 0 comments - [Making AI work through eval hygiene](https://daily.dev/posts/making-ai-work-through-eval-hygiene-9yhow3tph) · InfoWorld · 0 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 - [A methodical approach to agent evaluation](https://daily.dev/posts/a-methodical-approach-to-agent-evaluation-6t7zk2yru) · Google Cloud · 1 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#llm](https://daily.dev/tags/llm), [#ai-safety](https://daily.dev/tags/ai-safety) [View this post on daily.dev](https://daily.dev/posts/how-do-we-know-if-an-ai-is-actually-good--s4nmttihx) ```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":"How Do We Know If an AI Is Actually Good?","url":"https://daily.dev/posts/how-do-we-know-if-an-ai-is-actually-good--s4nmttihx","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/how-do-we-know-if-an-ai-is-actually-good--s4nmttihx"},"datePublished":"2026-07-23T16:37:39.066Z","dateModified":"2026-09-13T20:54:21.532Z","description":"A beginner-friendly introduction to AI evaluation — the practice of testing AI systems to measure accuracy, safety, consistency, helpfulness, and bias. 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