If you've ever wanted an AI that doesn't just chat but actually does things — queries databases, calls APIs, makes decisions, and learns from results — you're in the right place.
In this tutorial, I'll show you how to build production-ready AI agents using Solon 4.0's ReActAgent. By the end, you'll have built an agent that can reason through complex problems, use external tools, and adapt its behavior based on real-world feedback.
What Makes ReActAgent Different?
Traditional LLMs are great at generating text, but they hit a wall when they need to interact with the real world — checking a database, fetching live data, or performing calculations.
ReActAgent (Reason + Act) breaks through that wall. It implements a cognitive loop:
