> ## Documentation Index
> Fetch the complete documentation index at: https://learn.gautamjha.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Architecture Diagram

Here is the map of the territory. AI is a broad field; the part this docs uses lives several layers down inside it. Keep this picture in your head — we will refer back to it for the next chapters.

<Frame>
  <img src="https://mintcdn.com/gautamjha/MCF86mD-BsJb__4m/images/AI-Architecture.png?fit=max&auto=format&n=MCF86mD-BsJb__4m&q=85&s=c4629b9fda9d81b268651cdb15e794e6" alt="AI Architecture" width="1008" height="738" data-path="images/AI-Architecture.png" />
</Frame>

The top box is the whole field. Notice that Symbolic AI — hand-written rules — is AI too, and it is exactly the kind of system you already build when you write an Alertmanager routing tree. The newer, learned approaches are nested inside Machine Learning. This docs operates in the innermost box, Large Language Models, and spends later parts on the lower diagram: an agent that puts an LLM in a loop with your tools.