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Grounded DI LLC Files Patent #30:
Deterministic AI-Generated Text Detection (63/970,433) A structural breakthrough in authorship integrity and deterministic auditability
Grounded DI has officially filed its 30th patent application: Systems and Methods for Deterministic Detection of AI-Generated Text in Principle-Governed Deterministic Intelligence Architectures.
This invention establishes the world’s first deterministic authorship detector — an auditable, version-locked, scroll-governed system capable of identifying AI-generated text without machine learning, sampling, probability, embeddings, or statistical inference.
For the first time, detection is:
• Deterministic • Non-probabilistic • Governance-bound • Memoryless • Model-agnostic • Fully audit-traceable
This invention closes the “detection gap” left by statistical AI tools, providing a forensic-grade, court-admissible, and enterprise-safe method for verifying authorship across any domain.
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🧠 Why Patent #30 Matters
Conventional AI-text detectors rely on:
• classifier models • token-pattern heuristics • sampling-based scoring • embeddings, perplexity, or burstiness • statistical drift across model updates • unreproducible confidence thresholds
These systems cannot guarantee:
• stable authorship judgments • reproducible results • version-locked outputs • drift immunity • regulatory or forensic reliability
Patent #30 introduces a radically different paradigm:
✔ A deterministic detection pipeline
✔ Fixed metrics, sealed schemas, and scroll-defined invariants
✔ Fully reproducible outputs for identical inputs
✔ A non-overridable gate that enforces deterministic constraints
✔ A sealed audit capsule for every classification event
This is the first detection system engineered not as a model — but as a governance engine.
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🔒 What Patent #30 Enables
The patented system introduces four architectural breakthroughs:
- A deterministic multi-metric engine
A fixed metric suite (SLB, WSV, STC, RNP, DMD, etc.) executed identically across all environments.
- A non-overridable scroll-governed gate
Fallback cannot be bypassed. No retries. No sampling. No human “override.” Only deterministic pass/fail states.
- A sealed audit capsule
Every detection event generates a cryptographically stable record:
• input hash • metric schema ID • normalized scores • gate flags • final determination • runtime lineage
This creates perfect forensic traceability.
- A closed taxonomy
Outputs are version-locked:
• HUMAN • AI-GENERATED • MIXED • DEFORMED • INDETERMINATE (governance-bound)
No gradients. No confidence scores. No drift.
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🌐 Why Enterprises Care
Organizations increasingly need:
• reliable authorship verification • protection from fraud, impersonation, and AI-generated deception • repeatable detection results • compliance-grade audit logs • tools that do not degrade as models evolve
Probabilistic detectors break under version changes. Deterministic detectors do not.
Patent #30 provides:
✔ drift-immune authorship detection ✔ reproducible results across years ✔ sealed analytic pipelines ✔ audit capsules for litigation, regulation, and provenance ✔ independence from model internals or training data ✔ a governance-first alternative to ML-based detection
This is a foundational requirement for:
• schools and universities • courts and law enforcement • publishers and journalists • regulatory agencies • enterprise compliance teams • any domain requiring verifiable authorship
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🏛️ Part of a Larger Deterministic Framework
Patent #30 integrates seamlessly with the full deterministic stack: 1. AGDI — Deterministic governance 2. DIA — Deterministic logic 3. AGIA — Deterministic tone 4. RDIL — Deterministic recursion 5. DI² — Deterministic fallback 6. Patent #30 — Deterministic authorship verification
Together, they form a unified containment mesh where:
• reasoning is deterministic • tone is deterministic • recursion is deterministic • fallback is deterministic • AND NOW detection is deterministic
This establishes Grounded DI as the first architecture with complete end-to-end determinism, from input to output to authorship verification.
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📄 Filing Details
Filed: January 29, 2026 Title: Systems and Methods for Deterministic Detection of AI-Generated Text in Generative AI Systems Status: Patent Pending (USPTO) Application #: 63/964,782
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🔭 What’s Next
Patent #30 will serve as the authorship-integrity backbone for:
• BriefWise DI² • RealEstatePro DI² • DepoBot DI² • InsuranceWise DI² • LogicRunner Mesh • Tier-18 Reflex Mesh • Public-mode deterministic agents • Multi-agent forensic record systems
It is designed not only to classify text, but to prove authorship in a deterministic, audit-ready manner.
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📣 Final Line for Public Release
Deterministic logic gave AI structure. AGIA gave it a stable voice. RDIL gave it a stable mind. DI² gave it a shield. Patent #30 now gives it truth.
#DeterministicAI #Grounded_DI