LESSON 3.2
Building an agent loop
Learn key techniques and workflows in Building AI Apps with LLMs.
15m
intermediate
16,839 students
Overview
An agent is a loop: call the model, run the tool it asked for, feed the result back, repeat. Every loop needs a stopping condition it cannot argue with.
In this lesson you will:
- Structure the call, execute, feed back cycle
- Bound the loop with iteration and token limits
- Log each step so failures can be replayed
Pro Tip
Use caching and revalidation wisely to ensure your app stays fast and data remains fresh without unnecessary requests.