LLMs are hungry for context. Give an agent a large API schema, and it will happily devour thousands of tokens trying to understand it—often before it has even started solving the user’s problem. But now its context window is completely full of irrelevant information, and you just get nonsense back. It’s like going to a fancy restaurant, filling up on bread, and having no room left for the main course.

But what if your agent banished the bread basket and sought the steak?

In this talk, we introduce Prompt-to-Capability: a new approach that allows agents to discover and execute exactly the API capabilities they need, using natural language. No more loading something enormous into an LLM’s context window and praying it will succeed—this tool transforms a prompt directly into a query, making even the largest of APIs fully accessible.

All levels of technical audience are welcome; and the best part is that we’ll explain it all with food!