--- title: Agentic AI 103: Building Multi-Agent Teams | daily.dev description: Multi-agent AI systems outperform single generalist agents by using specialized agents that focus on specific tasks. The article demonstrates building a team... canonical: https://daily.dev/posts/agentic-ai-103-building-multi-agent-teams-7tdl6p2bm twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Agentic AI 103: Building Multi-Agent Teams | daily.dev og:description: Multi-agent AI systems outperform single generalist agents by using specialized agents that focus on specific tasks. The article demonstrates building a team... og:url: https://daily.dev/posts/agentic-ai-103-building-multi-agent-teams-7tdl6p2bm og:image: https://api.daily.dev/og/posts/7TDL6P2BM.png og:image:alt: Agentic AI 103: Building Multi-Agent Teams 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. # Agentic AI 103: Building Multi-Agent Teams **[Towards Data Science](https://daily.dev/sources/tds)** · 9 min read · 27 upvotes · 0 comments ## Summary Multi-agent AI systems outperform single generalist agents by using specialized agents that focus on specific tasks. The article demonstrates building a team of AI agents using the Agno framework - a Writer agent that researches and creates Instagram captions, and an Illustrator agent that generates image prompts. The Team class coordinates these specialists, with each agent using dedicated tools like DuckDuckGo search. The approach shows how to avoid overwhelming agents with too many tools by creating focused specialists that collaborate through a coordinator. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#ai](https://daily.dev/tags/ai), [#ai-agents](https://daily.dev/tags/ai-agents), [#automation](https://daily.dev/tags/automation), [#llm](https://daily.dev/tags/llm), [#python](https://daily.dev/tags/python) [View this post on daily.dev](https://daily.dev/posts/agentic-ai-103-building-multi-agent-teams-7tdl6p2bm) ```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":"Agentic AI 103: Building Multi-Agent Teams","url":"https://daily.dev/posts/agentic-ai-103-building-multi-agent-teams-7tdl6p2bm","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/agentic-ai-103-building-multi-agent-teams-7tdl6p2bm"},"datePublished":"2025-06-12T20:56:23.154Z","dateModified":"2026-03-15T03:45:18.963Z","description":"Multi-agent AI systems outperform single generalist agents by using specialized agents that focus on specific tasks. The article demonstrates building a team...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/55333f0a0d2aac5a5f36d7406c9c42aa?_a=AQAEulh","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/55333f0a0d2aac5a5f36d7406c9c42aa?_a=AQAEulh","isAccessibleForFree":true,"articleSection":"Towards Data Science","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":"Towards Data Science","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/tds","url":"https://daily.dev/sources/tds"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/agentic-ai-103-building-multi-agent-teams-7tdl6p2bm","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":27},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai,ai-agents,automation,llm,python","timeRequired":"PT9M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Towards Data Science","item":"https://daily.dev/sources/tds"},{"@type":"ListItem","position":3,"name":"Agentic AI 103: Building Multi-Agent Teams"}]} ```