2 pieces
How AI Agents Work
A first-principles breakdown of how autonomous software agents plan, call tools, observe results, and iterate toward real-world goals.
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Pieces in this series
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How AI Agents Work
The architectural loop behind autonomous planning, tool execution, and stateful problem solving
An AI agent is not a sentient entity roaming the web. It is a deterministic software loop that pairs a language model with external tools, a working memory context, and an automated execution runtime.
How an AI Agent Decides Which Tool to Use
The mechanics of schema matching, token probabilities, and semantic tool routing
An AI model doesn't test tools or understand code like a human programmer. It converts tool definitions into structured text, calculates token probabilities, and emits the schema that best matches its trained pattern.