We explore how agentic AI combines multiple agents—some of which are language models (LLMs) and others that are tools—to create more sophisticated and effective AI workflows. We walk through a simple example of how an AI agent can draft a marketing plan, another can critique it, and a third can refine it based on the feedback. We also discuss how some agents can be tools, like a Google search to gather data, and how an orchestrator agent can manage the entire process, adjusting steps as needed.

A set of VISUALS to help understand the tech that is behind the Transformer aspect of GPTs. Fairly geeky look, but good for those curious what is happening when a GPT decides how to respond to any prompt. YouTube: [https://youtu.be/KJtZARuO3JY?si=2efR94awTutWj-oc](https://youtu.be/KJtZARuO3JY?si=2efR94awTutWj-oc)