This work presents the OneOfUs© System, a governance infrastructure for generative Artificial Intelligence models conceived as a second-order Artificial Intelligence with deterministic architecture conditioned on the system state. The System does not generate responses from documentary inputs; rather, it coordinates, audits, and consolidates outputs produced by other Artificial Intelligences through deterministic logic of coordination, validation, and reporting. Under identical input conditions (documentary input, internal system state, client configuration), the System produces an identical consolidated output in tetra-state logic with explicit emitter, a complete trace that is reproducible post-hoc, and an unequivocal update of the internal state. The work describes six differentiating architectural elements: a bidirectional penalty-bonus mechanism on structural covariance over configurations of the Vector de Activación del Pool (Pool Activation Vector), tetra-state logic with explicit emitter replacing the classical binary, a Función de Equilibrio (Balance Function) over a multi-objective Pareto frontier with deterministic human-escalation criterion, a three-path Pool replacement rule with explicit priority among human roles, a Proof-of-Concept procedure in Shadow mode parallel to production, and deterministic parametric composition of prompts with normative layers indexed by structural subtype. Four potential technical objections are anticipated and answered from the architecture itself. A comparative table is offered against the prior art represented by Lakera Guard, Credo AI, Holistic AI, and Patronus. The System's coverage over eleven international regulatory frameworks on Artificial Intelligence and data protection is documented. The purpose of this publication is to establish internationally claimable prior art over the conceptual architecture described. Contact: contact@one-of-us.studio
ELIZABETH IBAÑEZ JUSTICIA (Fri,) studied this question.