Building Distributed AI Agents

Let's be honest: building an AI agent that works once is easy. Building an AI agent that works reliably in production, integrated with your existing React or Node.js application? That's a whole different ball game. (TL;DR: Want to jump straight to the code? Check out the Course Creator Agent Architecture on GitHub .) We've all been there. You have a complex workflow—maybe it's researching a topic, generating content, and then grading it. You shove it all into one massive Python script or a giant prompt. It works on your machine, but the moment you try to hook it up to your sleek frontend, things get messy. Latency spikes, debugging becomes a nightmare, and scaling is impossible without duplicating the entire monolith. But what if you didn't have to rewrite your entire application to accommodate AI? What if you could just... plug it in? In this post, we're going to explore a better way: the orchestrator pattern . Instead of just one powerful agent that does everything, we'll build a tea