A better conceptual model for the AI agent

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.…