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Vaughn Tan · Mar 24, 2026

A better conceptual model for the AI agent

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tl;dr: The agentic AI field treats the agent as the unit you build and improve. This is the wrong abstraction. Agents should be composed of small, readable primitives — capabilities, success criteria, decision rules — that can be swapped, evaluated, and evolved independently. The idea comes from organisational theory: high-performing teams under uncertainty don’t treat people as monoliths either.…

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