Most APIs were designed for software systems where requests, responses, and failures happen entirely in the digital world. Physical AI systems introduce a different challenge. Robots lose connectivity. Sensors drift. Actions have delayed consequences. The state of the world changes while requests are still being processed.

Drawing from production deployments across agriculture robotics, manufacturing, and industrial AI systems, this session explores how API design changes when software must interact with physical reality. We'll discuss event-driven architectures, asynchronous workflows, telemetry feedback loops, observability patterns, and strategies for handling unreliable edge environments.

Attendees will learn practical patterns for building APIs that remain reliable when machines, sensors, and real-world operations become part of the system.