AI Foundations for Artificial Intelligence Systems→

AI Foundations gives agentic artificial intelligence systems, and systems in contact with users, a precision framework for keeping behavior traceable, bounded, and accountable as they respond, act, generate, reproduce, and scale.

It defines the difference between stable system behavior and drift, fabrication, flattening, source-loss, unauthorized substitution, or false continuity.

Its purpose is to maintain system integrity and prevent agentic systems from overwriting the user, the source, or the work they are supposed to preserve.