The seemingly simple 'observe → decide → act → check → repeat' loop is the engine of AI agents. But what does this actually look like in production? We break down the complexities.
Forget the hype. ZYX Bank is showing how to get real AI agents working in a regulated environment, distinguishing between a chatbot for emails and a system that talks to AWS.
Building production-grade AI agents means moving beyond dazzling demos to tackle the complex realities of real-world deployment. The 'Runtime gap' is where the real innovation happens.
You've seen the slick demos. Five lines of code, and BAM! A chat interface. But slap that into a real product, and the facade crumbles. We're talking about the Vercel AI SDK's `useChat` hook, and why the documentation conveniently glosses over the messy bits.