The series argues one thing across eight books: AI does not become governable by accident. Every working system in this series sits inside a harness, and every harness is the same five components rearranged for a different problem. Volumes I and II ship at launch. The rest follow.

Trust Convergence on the Edge of Artificial Intelligence

Governance Architecture for AI in Federal Authorization Boundaries

Finding Stable Governance Orbits Between Competing Forces

Operational Security and Resilience for Long-Running Systems

Command, Containment, and Control for Autonomous Agent Fleets

Governing Open Agent Platforms Without Killing What Makes Them Useful

Execution, Knowledge, and Comprehension in AI Agent Teams
Governing AI in Institutions Built for Departure