Abstract Current AI systems demonstrate increasing capability in generation, reasoning, and task performance, yet remain structurally unreliable under conditions of ambiguity, adversarial input, and real-

Purpose This document replaces the prior constraint support documents with one integrated canonical reference for Substrate and domain systems such as language acquisition, legislative drafting,

1. Introduction This document formalizes the conceptual and operational foundations of the Substrate system as developed through iterative prompt-response cycles, with particular focus on

1. A System That Feels Controlled—but Isn’t Over the past two years, a parallel discipline has emerged around large language models—not the

1. System Definition Let: * ( S ) = system state * ( C ) = constraint set * ( A ) = action space * ( E ) = evidence / artifact set * ( D \in {\text{ACCEPT, REJECT, DEFER}} ) = decision outcome