Most AI applications today are built as chatbots—single models responding to prompts. But real-world problems require systems that can plan, reason, collaborate, and validate results.

In this session, we’ll start by clearly understanding the difference between chatbots and AI agents, and why multi-agent architectures are more reliable, scalable, and easier to reason about than single-agent designs.

We’ll then introduce CrewAI, a Python framework for building collaborative AI systems, and explore its core concepts such as agents, tasks, crews, and execution processes.

The session includes a live walkthrough of building both a single-agent and a multi-agent system using CrewAI, showing how agents collaborate to solve real-world tasks.

By the end of this session, attendees will have a clear mental model of multi-agent systems and practical, runnable examples they can use to start building with CrewAI immediately.