Jamaurice Holt

Jamaurice Devron Holt is the creator of EVE Core™ and the inventor of the Three-Plane Architecture for AI governance. He designed the deterministic veto engine, CRD scoring formula, hardware-fused enforcement system, and the unified AI Control Plane patent stack.

As sole founder and architect of EVE NeuroSystems LLC, Jamaurice has filed 90 filed U.S. provisional patent applications covering the full spectrum of AI governance infrastructure -- from pre-execution policy enforcement to cryptographic attestation and economic inference routing.

Key Contributions

• Three-Plane Architecture -- Control Plane, Execution Plane, Evidence Plane
• Deterministic Veto Engine -- Pure logic, zero ML in governance path, FPGA-compilable
• CRD Scoring -- Confidence-Reality Divergence formula for hallucination detection
• Unified Control Plane Patent Stack -- 3-family interlocking IP moat
• 90 filed U.S. provisional applications -- Serial Nos. 63/988,235 through 64/047,284

The Approach

The design rests on a single conviction: a governance layer that depends on another model to judge a model inherits all of that model's uncertainty. So EVE Core™ removes machine learning from the decision path entirely. Every veto is computed by pure, side-effect-free logic — the same input always produces the same verdict, which is what makes the system auditable, reproducible, and ultimately compilable to hardware.

That constraint shaped the rest of the stack. Because decisions are deterministic, they can be signed and hash-chained into evidence that an outside party can verify without trusting the vendor. Because the veto logic is pure, it can be targeted at an FPGA for tamper-resistant, air-gapped deployments. And because enforcement sits at the action boundary rather than inside any one model, the same controls hold across any provider, agent, or API.

Philosophy

AI governance should be enforced by architecture, not by promise. Policies that exist only in documents are not policies -- they are aspirations. EVE Core™ makes governance a physical property of the system, not a feature that can be bypassed.

The portfolio reflects that thesis at scale: 90 filed provisional applications spanning enforcement, cryptographic audit, forensic replay, economic routing, and distributed trust — the full set of layers required to govern an AI action and then prove how it was governed.