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The Agentic Control Loop: How AI Agents Execute Autonomous Actions
In my foundational piece, Deconstructing AI, I laid out the high-level architecture of how Large Language Models, Agents, and MCP servers interact. Then, last week in Deconstructing the Brain, we zoomed all the way in. We cracked open the LLM itself to reveal its structural reality: a frozen file of billions of numerical parameters processing data via pure matrix math. We saw how an LLM acts as an incredible static reasoning engine, taking a prompt and outputting a highly pre

Sathish Kumar
2 days ago5 min read


Deconstructing the Brain: What is an LLM, actually?
In my last piece, Deconstructing AI, I explored how a modern autonomous AI network functions. I mapped out how an Orchestrator Agent takes a natural language request, delegates tasks using the A2A protocol, and interfaces with the physical world via MCP servers. But at the absolute center of that entire architecture sits the LLM (Large Language Model)—the reasoning core giving the instructions. This week, I am zooming in to this. I want to crack open that "brain" to look at i

Sathish Kumar
Jun 711 min read
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