This talk explores how to make your REST APIs understandable, reliable, and useful not only to humans, but also to machines that "learn" from documentation and responses.

You will see how to structure endpoints for discoverability, add metadata that helps AI reason about your API, and protect your systems from unpredictable agent behavior. We will explore topics like security, error-handling, hypermedia-driven APIs, and monitoring for reliability at scale. By the end, you will understand how to make your APIs ready for an AI-driven world - where your next client might not be a person.