This article details the process of training an AI agent to operate the LangGraph CLI using synthetic data and reinforcement learning. It explains how to generate a dataset, fine-tune the model, and ensure safety and accuracy in command execution. The approach aims to address the challenges of data scarcity and the safety-accuracy tradeoff common in specialized CLI tools.