--- title: AI Agents: Architecture | daily.dev description: A comprehensive guide to AI agent architecture patterns for production systems. Covers 10 distinct architectural patterns — from single calls and chains to... canonical: https://daily.dev/posts/ai-agents-architecture-07zvw60ob twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: AI Agents: Architecture | daily.dev og:description: A comprehensive guide to AI agent architecture patterns for production systems. Covers 10 distinct architectural patterns — from single calls and chains to... og:url: https://daily.dev/posts/ai-agents-architecture-07zvw60ob og:image: https://api.daily.dev/og/posts/07ZvW60OB.png og:image:alt: AI Agents: Architecture 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. # AI Agents: Architecture **[Neciu Dan](https://daily.dev/sources/neciudan)** · 23 min read · 0 upvotes · 0 comments ## Summary A comprehensive guide to AI agent architecture patterns for production systems. Covers 10 distinct architectural patterns — from single calls and chains to supervisor agents and human-in-the-loop — with JavaScript code examples for each. Explains how to select models by task type (frontier vs. small/cheap), the trade-offs of each pattern, and how to combine multiple architectures in a real travel booking agent. Also addresses why a single powerful model call is insufficient at scale, citing cost, observability, seams for code intervention, and optimization flexibility as key reasons for multi-agent pipelines. ## 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 different architecture patterns for building AI agents with multiple LLM calls? Ten recurring patterns exist: single call, chain, router, fan-out and voting, generator plus reviewer, tool loop, plan then execute, supervisor, handoff, and human in the loop. Each fits a different situation, such as chain for fixed-order stages, router for branching intents, tool loop when the next step depends on results, and human in the loop for irreversible actions. _daily.dev helps engineers compare these agent architecture patterns before picking one for production._ ### Why use multiple smaller models instead of one frontier model for an AI agent pipeline? Splitting work across model tiers cuts cost since frontier models charge five to ten times more per token than small models, while classification, extraction, and email drafting don't need frontier-level judgment. It also creates seams where plain code can check arithmetic, adds visibility into which stage failed, and lets teams downgrade one job at a time to cheaper models while measuring quality impact. _developers weighing model cost against reliability track these tradeoffs on daily.dev._ ### Why does chaining multiple AI model calls together reduce overall reliability? Errors compound down a chain because each step inherits the previous step's mistakes and adds its own; five steps that each succeed 95% of the time on their own combine to roughly a 77% overall success rate. This is why chains work best for fixed-order stages rather than open-ended reasoning, and why review or voting steps are added to catch failures before they propagate. _teams designing multi-step agent pipelines can track reliability tradeoffs like this on daily.dev._ ## Similar posts on daily.dev - [Multi-Agent AI Development: Architecture and Patterns](https://daily.dev/posts/multi-agent-ai-development-architecture-and-patterns-otqsxn1te) · SitePoint · 1 upvotes · 0 comments - [The AI Agent Engineer's Guide: 60 Patterns for Building Autonomous Systems \[Full Book\]](https://daily.dev/posts/the-ai-agent-engineer-s-guide-60-patterns-for-building-autonomous-systems-full-book--50d5hfpw5) · freeCodeCamp · 3 upvotes · 0 comments - [The Roadmap to Mastering Agentic AI Design Patterns](https://daily.dev/posts/the-roadmap-to-mastering-agentic-ai-design-patterns-rnti5xf8i) · Machine Learning Mastery · 4 upvotes · 0 comments - [The Agentic AI Handbook: Production-Ready Patterns](https://daily.dev/posts/the-agentic-ai-handbook-production-ready-patterns-zlhrkqtw7) · Hacker News · 1 upvotes · 0 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents) [View this post on daily.dev](https://daily.dev/posts/ai-agents-architecture-07zvw60ob) ```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":"AI Agents: Architecture","url":"https://daily.dev/posts/ai-agents-architecture-07zvw60ob","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/ai-agents-architecture-07zvw60ob"},"datePublished":"2026-08-12T09:24:23.851Z","dateModified":"2026-09-14T06:17:02.446Z","description":"A comprehensive guide to AI agent architecture patterns for production systems. 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