As AI applications become more complex, single-agent systems often struggle with complex, multi-faceted tasks. This talk introduces a practical approach to building multi-agent systems where specialized agents work collaboratively under a coordinator agent's supervision.

Key Takeaways
- Understanding multi-agent architecture patterns
- Implementing agent coordination mechanisms
- Best practices for agent specialization
- Practical patterns for error handling and recovery
- Real-world implementation examples