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Agent Teams: Collaboration & Handoffs

See how multiple specialized agents work together, handing off tasks like a team

Part of AI Agents: From Chatbots To Doers

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Last updated Oct 29, 2025. Clone to remix or explore the blocks below.
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Multi-Agent Systems: AI Teams

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Multi-Agent Systems: AI Teams

Single agent approach: One generalist AI tries to do everything Jack of all trades, master of none

Multi-agent approach: Specialized agents, each expert in their domain Like a team of specialists working together

Example - Content creation:

Generalist agent: "Create a blog post with images" → mediocre writing, basic images

Specialist team:

  • Research Agent: Gathers authoritative sources
  • Writer Agent: Crafts compelling narrative
  • Editor Agent: Refines for clarity and style
  • Image Agent: Generates perfect visuals
  • SEO Agent: Optimizes for search

Result: Professional-grade output.

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Quiz: 3 Questions

Test your understanding with this quiz.

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When would a multi-agent system be better than a single powerful agent?

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Design an Agent Team

Complete this exercise and get AI-powered feedback.

Design an Agent Team

Create a multi-agent system for a complex task. Think about:

  • Role specialization (what's each agent expert at?)
  • Handoff points (when does one finish and next begin?)
  • Failure recovery (what if an agent gets stuck?)