Deploying Your AI Agent › Deploying Your AI Agent

You've built a capable personal assistant that can reason, use tools, remember conversations, and plan complex tasks. Right now, it lives as a Python script on your development machine. But what if you want to access it from your phone? Share it with a colleague? Or run it 24/7 without keeping your laptop open?

That's where deployment comes in. Deployment is the process of taking your agent from a development script to a running service that you (or others) can reliably access. Think of it like the difference between cooking a meal in your kitchen versus opening a restaurant. The core skills are the same, but you need to think about packaging, location, and how people will interact with what you've created.

In this chapter, we'll walk through the practical steps to deploy your agent. We'll start simple with local deployment, then explore how to package your code properly, choose where to run it, and make it accessible to users. By the end, you'll understand the path from prototype to production.