Designing the Agent's Brain (Architecture) › What We've Built

We started with the agent loop, a simple pattern that structures how agents process requests. We implemented a minimal agent that follows this loop, then added decision logic to make it smarter about when to use different capabilities.

We explored how to structure your code for growth, separating state management, decision logic, and action execution. We looked at how to make decisions more sophisticated by involving the model itself.

Finally, we built a complete example that brings all these pieces together into a clean, organized architecture.

Your personal assistant now has a brain, a clear structure for thinking and acting. It can receive input, update its state, decide what to do, execute that decision, and respond to the user. And because it's well-organized, you can keep adding capabilities without the code becoming a mess.