function-calling
2 free lessons tagged function-calling across AI. Each one is a short sequence of focused steps with narration and a five-question quiz at the end — take them in any order, no signup required.
Building Voice Agents: Latency, Tools, and What Breaks
Turning a voice AI prototype into a real product means facing hard choices. Learn the two competing architectures (the debuggable cascaded pipeline versus end-to-end speech-to-speech models), how function calling lets an agent actually do things, why cost and observability drive real decisions, the failure modes that break voice agents in production, and how to evaluate whether one actually works.
Tool Use Patterns: Schema Design, Structured Output, and Validation Loops
A deep dive into designing tool schemas that LLMs actually call correctly — covering parameter naming, description quality, structured output via response schemas, output parsing, and error message design that drives self-correction.