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, a Developer Advocate at CrewAI, will teach 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.
Presenter Bio
Tony KipkemboiSenior Developer Advocate at CrewAI
Tony helps developers learn and use CrewAI's AI Agent platform. He's an expert in community building and training for data and AI. Previously, Tony was a Developer Advocate at Snowflake, a Data Engineer at Booz Allen Hamilton, and a Data Analyst at Bloomberg.
