A Coding Guide to Design an Agentic AI System Using a Control-Plane Architecture for Safe, Modular, and Scalable Tool-Driven Reasoning Workflows

A recent tutorial introduces the design of an advanced Agentic AI utilizing a control-plane architecture, positioning the control plane as the central orchestrator responsible for coordinating tools, enforcing safety protocols, and structuring the reasoning process. This modular system integrates components such as a retrieval subsystem, defined tools, and an agentic reasoning layer that enables dynamic planning and execution of actions, resulting in a scalable, safe, tool-aware AI capable of knowledge retrieval, interaction logging, and adaptive learning. This approach emphasizes a disciplined, scalable framework that enhances AI safety, modularity, and reasoning capabilities by centralizing control and integrating retrieval