Agentic AI Session1: How to Build Production-Grade AI Agents That Think and Act
Summary : Agentic AI is not about clever prompts. It is about engineering intelligent systems that can reason, plan, act, and learn reliably in production environments. Want to learn more? Run the Agentic AI Session 1 notebook in Google Colab. Building a production-grade AI agent is less about prompt engineering and more about systems engineering. While most people still think of AI as a chatbot, Agentic AI engineers see something very different. An AI agent is a reasoning engine. To be useful, that engine needs a chassis, fuel, controls, and safety mechanisms. Without these, you don't have an agent. You have a demo. Based on our Agentic AI curriculum , this post breaks down the foundational concepts that separate experimental agents from production-ready systems. 1. The Anatomy of an Agent: Core Primitives To build reliable agents, teams must share a common language. These primitives describe the essential building blocks of any agentic system. The...