Patents
These are provisional patent filings. This page is a high-level index of what each invention is about, written for non-engineers. It intentionally avoids technical disclosure and implementation specifics.
Patents (21) — Provisional Filings
System Patent
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Fail-Closed Execution and Authority-Conditioned Validity for Artificial Intelligence Systems
Stops systems from finishing their work if something important is missing, so bad or unsafe results never get created in the first place.
AI Patents
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Fail-Closed Execution and Authority-Conditioned Validity for Artificial Intelligence Systems
Patents the method & architecture of building AI programs that CANNOT hallucinate, lie, or mess up by design. Relates to heavily regulated areas like Legal, Financial, Medical fields, huge AI safety, societal & economical impact.
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Fail-Closed Execution and Authority-Conditioned Validity for Artificial Intelligence Systems
Makes sure an AI isn’t allowed to give an answer or take action unless it’s actually permitted and properly informed to do so.
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Artifact-Governed Stateless Context Reconstruction for AI-Assisted Software System Modification
Makes sure an AI uses the real, verified project situation each time before changing software, so old mistakes don’t quietly carry forward.
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Artifact-Only Authority Framework for Artificial Intelligence Decision Systems
Prevents an AI from treating its own words as permission to act. “Go” decisions must be backed by verified information.
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Canonical Corpus-Based Governance System for Enforcing Novelty, Authority, and Deterministic Reasoning in AI-Assisted Invention and Research Workflows
Helps prevent fake originality by checking new work against a trusted library of past work before moving forward.
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Deterministic Prompt Translation and Compilation System for Large Language Models
Makes AI instructions more consistent, so the same request produces the same kind of result instead of drifting.
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Fail-Closed Execution Governance System for Deterministic and Auditable Exploratory Computational Workflows
Treats results as invalid unless required checks pass first. If something is off, it stops instead of guessing.
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Fail-Closed Zero-Loop Control System for Artificial Intelligence Workflows
Prevents endless looping or repeated actions without clear permission to continue.
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File-Backed Temporal Memory and Deterministic Recall System for Artificial Intelligence Agents
Stores key decisions as real records, not just chat text, so they can be reviewed later and trusted.
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Intent-Contract Enforcement System for Artificial Intelligence Execution
Ensures an AI only does what it was explicitly allowed to do. If it tries to go beyond that, it gets blocked.
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Null-Result-Valid Artificial Intelligence Research and Decision Pipelines
Treats “nothing happened” as a valid outcome, so systems don’t invent a success story when reality says otherwise.
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Speaker-Authorized Security and Control System for Artificial Intelligence Agents
Adds identity-based approval for sensitive voice commands, helping prevent unauthorized or accidental actions.
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State-Locked Artificial Intelligence Orchestration System with Artifact-Based Authority Control
Forces AI systems to move forward only when the current state is clearly defined and verified, so silent drift can’t sneak in.
Physics Patents
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Field-Geometry Materials & Manufacturing Framework
Focuses on building physical geometries consistently, so experiments don’t fail just because parts were made differently.
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Field-Geometry Oscillation Engine for Controlled Cyclic Modulation of Energy Representations
Explores controlled repeating patterns in physical systems, designed to be stable and repeatable.
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Geometric Field Coupling Device for Controlled Interaction of Distinct Energy Geometries
Describes controlled ways for different physical systems to influence each other, instead of interacting unpredictably.
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Triangular-Petalled Resonance Manifold System And Method
Investigates how certain shapes can support stable resonance behavior that can be measured and studied.
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Dynamic Field Gradient Drive System
Focuses on using changing patterns to guide behavior in a controlled way, rather than relying on brute force.
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Inertial Mass Modulation Device
Explores structured ways to study changes in inertial behavior while keeping “good experiment” separate from “big claim.”
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Field Resynchronization Computational Substrate (FRCS)
Keeps long-running computations from drifting over time by bringing them back into alignment so results stay interpretable.