Building AI Apps with LLMs

Understand the model

Reason about tokens, context windows, and sampling instead of treating the model as a black box.

Get structured output

Make a model return data your program can rely on, and validate it before you use it.

Wire up tool calling

Let the model call your functions, and keep the loop bounded and observable.

Ship it affordably

Stream responses, cache what repeats, and keep latency and spend under control.