AI Architectural Thinking
This text is not a product manual. It is not a policy proposal. It is not a prediction about the future of AI. It is a framework for thinking. Modern AI systems increasingly operate with memory, delegation, and adaptive behavior. As they accumulate state, they accumulate asymmetry. As asymmetry accumulates, governance and power follow. Most discussions focus on capability. Fewer focus on persistence. Fewer still ask who controls what is allowed to persist. This series examines that question from first principles. It distinguishes declarative state from adaptive memory, traces how persistence creates path dependence, and follows that logic from a single agent to a delegation network. The goal is not to eliminate persistence. It is to make it visible. What persists will shape what can be replaced. What cannot be replaced will eventually govern. A Structural Framework for Persistence, Governance, and Continuity Chapter 1 — Regimes, Not Features 1. The Mistake Almost Everyone Mak...