Skip ML Theory: A Practical Roadmap to Shipping AI Agents

The article challenges the misconception that building AI agents requires deep machine learning expertise, presenting it instead as an engineering problem of system integration and clear instruction design. Starting with Retrieval-Augmented Generation, it outlines a three-stage framework that enables developers to ship working agents rapidly without theoretical background in neural networks or transformer architectures.