AI agents don’t just answer questions anymore. They read your files, search the web, and take actions on your behalf. In this video course, you’ll learn how they really work, from models and harnesses to context and skills, so you can get better results and stay in control.
By the end of this course, you’ll understand that:
- An AI app is a model that does the thinking, plus a harness that carries out the actions, and many confusing replies come from that split.
- A model works only with what’s in its context, so what you hand it shapes every answer.
- Before an agent works for you, you can check where it runs, what it can touch, what gets sent, and who sees it.
- Asking well and starting fresh at the right time get you better results and use fewer tokens.
- Skills let you package a job once and reuse it, and you can build your own.
Along the way, you’ll practice in interactive apps and guided mentor sessions, then finish by finding and fixing five problems in an AI assistant’s setup.
Codex Live Course: Ready to put an agent to work on real code? In Real Python’s Codex for Python Developers live course, you build an entire Python project with Codex, an AI agent that works inside your codebase. The next course runs November 14 and 15!
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