Episode 6: Build the ReAct Loop from Scratch | AI Agent Tutorial

In Episode 5, we connected tools to an LLM. But here's the next question: *How does an LLM actually use those tools to complete a task?* In Episode 6 of our Building AI Agents from Scratch series, we'll explore the ReAct loop and implement it in JavaScript. Instead of stopping after a single LLM response or tool call, we'll build a loop that lets the model select a tool, execute it, observe the result, and continue until it can produce a final answer. 🚀 *What you'll learn* What the ReAct loop is and why an AI Agent needs it Reasoning, Acting, and Observation How an LLM decides which tool to call How to execute tools and return their results to the LLM How to preserve conversation context across iterations How to integrate the ReAct loop into a working JavaScript agent 💻 *Hands-on implementation* We'll take a practical example, build the required tools, and integrate the ReAct loop into our agent so you can understand how the complete workflow operates in code. This is part of our step-by-step series on building AI Agents from scratch, understanding the fundamentals before relying on frameworks. 📚 *Building AI Agents from Scratch — Series* Episode 5: Connecting Tools to an LLM Episode 6: Understanding and Implementing the ReAct Loop #AIAgents #JavaScript #ReActLoop #AIEngineering #AgenticAI