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Creating a Podcast Generation AI Multi-Agent with CrewAI

Tony Kipkemboi, Developer Advocate at CrewAI, teaches you how to use CrewAI to build a multi-agent system that generates podcast-style audio from text.
Tony Kipkemboi
Tony Kipkemboi

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실습 문제하고 트랙하세요.

Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.

AI agents are no longer just answering questions—they’re collaborating to produce rich, creative outputs. By combining multiple agents, each with distinct roles and tools, developers can build systems that transform documents into dynamic, voice-generated conversations. It’s a practical step toward more advanced, multimodal AI applications.

In this code-along, Tony Kipkemboi, Developer Advocate at CrewAI, teaches you how to use CrewAI to build a multi-agent system that generates podcast-style audio from text. You’ll explore agent architecture, learn how agents can communicate and share tasks, and see how multimodal generation is handled in practice. This session is ideal for AI engineers interested in multi-agent design and creative AI applications.

Key Takeaways:

  • Learn how to build a multimodal podcast-generating AI agent system.
  • Understand how multiple agents can interact and collaborate.
  • Get started with CrewAI and explore common multi-agent design patterns.

Session Resources (including slides + notebook!)

 

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