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In-depth, citation-ready guides on deterministic AI execution, the Nexus Execution Protocol, and compliance in regulated domains. Each guide includes direct answers and FAQ schema for answer engines.

What is Deterministic AI Execution?

Deterministic AI execution is the practice of routing every AI-proposed operational action through a policy engine that returns an unambiguous allow, deny, or escalate verdict before anything reaches downstream systems. Unlike probabilistic model outputs, the commit decision is reproducible, auditable, and cannot be overridden by the model.

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What is the Nexus Execution Protocol (NEP)?

The Nexus Execution Protocol (NEP) is an open-source execution protocol that sits between probabilistic AI models and operational systems. It evaluates agent intents through Domain Energy Plugins and enforces P(H executes | e > 0) = 0 - no non-compliant action ever commits.

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How Do You Comply When AI Acts in High-Risk Domains?

High-risk AI compliance requires encoding regulatory rules as executable policy evaluated before every agent commit - not relying on model behavior or manual review alone. A deterministic commit boundary with cryptographic audit trails satisfies mandates like DORA, EU AI Act, and Rules of Engagement.

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