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.
