What happens when autonomous vehicles need to communicate with passengers, dispatchers, traffic systems, and each other in real time? Building a RoboTaxi platform taught me that traditional AI architectures crumble under the complexity of large-scale multi-agent communication.

In this talk, I'll share hard-won lessons from architecting a distributed AI system where hundreds of autonomous agents coordinate thousands of rides daily. You'll discover why point-to-point agent communication creates a brittle mess, and how event-driven architecture (EDA) becomes the nervous system that keeps everything connected.

Through a live demo of the RoboTaxi platform, I'll show you:

- How AI agents can communicate asynchronously without tight coupling
- The architecture decisions that separate toy demos from production-ready AI systems

Whether you're building chatbot networks, autonomous systems, or multi-agent AI applications, this session will give you the architectural foundation to scale beyond the prototype phase.

Let's take this ride together.