--- title: What are decision models? Uses, examples, and tradeoffs description: A decision model is an AI model that returns a structured choice, classification, or score instead of free text, unlike general-purpose LLMs. Examples include... canonical: https://daily.dev/posts/what-are-decision-models-uses-examples-and-tradeoffs-qcpvajxvj twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: What are decision models? Uses, examples, and tradeoffs | daily.dev og:description: A decision model is an AI model that returns a structured choice, classification, or score instead of free text, unlike general-purpose LLMs. Examples include... og:url: https://daily.dev/posts/what-are-decision-models-uses-examples-and-tradeoffs-qcpvajxvj og:image: https://api.daily.dev/og/posts/qcpVaJXVj.png og:image:alt: What are decision models? Uses, examples, and tradeoffs 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. # What are decision models? Uses, examples, and tradeoffs **[CircleCI](https://daily.dev/sources/circle)** · 15 min read · 0 upvotes · 0 comments ## Summary A decision model is an AI model that returns a structured choice, classification, or score instead of free text, unlike general-purpose LLMs. Examples include TypeSafe's Jev, OpenAI's Decisions API, and Microsoft's Decision-1. They suit routing support tickets, selecting agent actions, and grading LLM outputs as pass/fail or a score. Key evaluation factors are accuracy, latency/cost, and probability calibration, where a 90% confidence prediction should be correct about 90% of the time. CircleCI's Evals orb can check metrics against acceptance criteria in CI, failing the job when a threshold is not met. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is a decision model and how is it different from an LLM? A decision model is a specialized AI model that evaluates inputs against predefined outcomes and returns a structured choice, classification, or score, rather than generating free-form text. It handles tasks like binary classification, categorical selection, and scoring. Unlike general-purpose LLMs, it is optimized for routing requests, selecting agent actions, and evaluating AI outputs, often at lower latency and cost. _Choosing between an LLM and a lighter decision model is easier when you compare real benchmarks on daily.dev._ ### How do I know if a decision model's confidence scores are well calibrated? A model is well calibrated when its stated probabilities match real-world accuracy. For example, predictions assigned roughly 90% probability should turn out correct about 90% of the time. Testing this requires a labeled dataset of inputs with known correct answers, run through the model to check accuracy, error patterns by category, and calibration before trusting it in production. _Developers validating AI evaluators before shipping follow calibration techniques like this on daily.dev._ ### How can I test AI model evaluations automatically in a CI pipeline? You can use a CI/CD pipeline to run representative test cases through an application, pass each generated response plus reference documentation to a decision model for grading, and record judgments like whether a response is supported by sources. The CircleCI Evals orb then checks metrics, such as requiring at least 95% of responses to meet correctness criteria, and fails the build if performance drops below that threshold. _Teams wiring AI evaluation into CI/CD can compare orb-based setups like this on daily.dev._ ## Similar posts on daily.dev - [As AI agents grow, vendors carve out decision-making as a separate model layer](https://daily.dev/posts/as-ai-agents-grow-vendors-carve-out-decision-making-as-a-separate-model-layer-s16prsxwi) · InfoWorld · 0 upvotes · 0 comments - [Introducing ai\_decide: make fast decisions on your governed data](https://daily.dev/posts/introducing-ai-decide-make-fast-decisions-on-your-governed-data-pn7hhms9g) · databricks · 1 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#cicd](https://daily.dev/tags/cicd), [#circleci](https://daily.dev/tags/circleci) [View this post on daily.dev](https://daily.dev/posts/what-are-decision-models-uses-examples-and-tradeoffs-qcpvajxvj) ```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":"What are decision models? Uses, examples, and tradeoffs","url":"https://daily.dev/posts/what-are-decision-models-uses-examples-and-tradeoffs-qcpvajxvj","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/what-are-decision-models-uses-examples-and-tradeoffs-qcpvajxvj"},"datePublished":"2026-10-27T17:51:50.333Z","dateModified":"2026-10-27T18:03:47.320Z","description":"A decision model is an AI model that returns a structured choice, classification, or score instead of free text, unlike general-purpose LLMs. Examples include...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/bf9575c49cb7a2f2bba2d6ee4986bb1c?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/bf9575c49cb7a2f2bba2d6ee4986bb1c?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"CircleCI","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":"CircleCI","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/661fc536429943fdb5426b9f33fd8e3c","url":"https://daily.dev/sources/circle"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/what-are-decision-models-uses-examples-and-tradeoffs-qcpvajxvj","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai-agents,cicd,circleci","timeRequired":"PT15M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"CircleCI","item":"https://daily.dev/sources/circle"},{"@type":"ListItem","position":3,"name":"What are decision models? Uses, examples, and tradeoffs"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/what-are-decision-models-uses-examples-and-tradeoffs-qcpvajxvj#faq","mainEntity":[{"@type":"Question","name":"What is a decision model and how is it different from an LLM?","acceptedAnswer":{"@type":"Answer","text":"A decision model is a specialized AI model that evaluates inputs against predefined outcomes and returns a structured choice, classification, or score, rather than generating free-form text. It handles tasks like binary classification, categorical selection, and scoring. Unlike general-purpose LLMs, it is optimized for routing requests, selecting agent actions, and evaluating AI outputs, often at lower latency and cost. Choosing between an LLM and a lighter decision model is easier when you compare real benchmarks on daily.dev."}},{"@type":"Question","name":"How do I know if a decision model's confidence scores are well calibrated?","acceptedAnswer":{"@type":"Answer","text":"A model is well calibrated when its stated probabilities match real-world accuracy. For example, predictions assigned roughly 90% probability should turn out correct about 90% of the time. Testing this requires a labeled dataset of inputs with known correct answers, run through the model to check accuracy, error patterns by category, and calibration before trusting it in production. Developers validating AI evaluators before shipping follow calibration techniques like this on daily.dev."}},{"@type":"Question","name":"How can I test AI model evaluations automatically in a CI pipeline?","acceptedAnswer":{"@type":"Answer","text":"You can use a CI/CD pipeline to run representative test cases through an application, pass each generated response plus reference documentation to a decision model for grading, and record judgments like whether a response is supported by sources. The CircleCI Evals orb then checks metrics, such as requiring at least 95% of responses to meet correctness criteria, and fails the build if performance drops below that threshold. Teams wiring AI evaluation into CI/CD can compare orb-based setups like this on daily.dev."}}]} ```