LEF Ai Engine

LEF Ai.E - Ed Continuum

Cognition read across a lifespan: Learning, Neuro/Aging, and A/H (artificial + human) Intelligence as one continual-cognition problem, where machine and human cognition share the same decay and retention dynamics. Spans the full learner lifespan, from early diagnostics through STEM and skills pathways to a lifelong academic and career profile, surfacing the upstream cause of downstream failure by tracking pathways, not individuals. Delivered as a Feature Board of licensed capabilities (Student, Teacher, School, Curriculum, District profiles; Cross-Subject; Pathway Intelligence), each with its own demo surface, shipping as they harden.

Feature Board • Private Preview • part of the 10-patent LEF Ai Engine portfolio

DCFN - Research

The Living Profile of a research corpus: where the field came from, where it’s converging, where the gaps are. Pulls from six sources, surfaces independent researchers converging without citing each other, grounds every hypothesis in a structural gap.

DCFN - Patents

Reads the actual claims across hundreds of thousands of filings and surfaces the white space between them: the inventions no one has described yet, visible only because their absence shapes everything around them. Prior-art search run backwards.

DCFN - Bio

The same engine dropped into life-sciences literature: preprints, journals, trial registries, mechanism-of-action papers. Surfaces where independent labs converge on the same mechanism without citing each other, and where the field is structurally ready to translate. For translational researchers, biotech founders, and funders.

DCFN - Federal ISB

The engine pointed at the federal mission, the portfolio’s primary funding target. It reads across federal and government corpora (CQI performance records, regulatory compliance, policy and legislative text) and composes the structural read into a briefing-grade situational picture tied to an operator’s next decision, showing where a structure lived in one corpus but never another. Agency-neutral, invite-gated live demonstration.

Provisional • Filed 02/27/2026

Diagnostic Reasoning Engine

Multi-phase diagnostic reasoning engine for competency-based education systems. Eight-phase sequential pipeline for root-cause analysis via DAG traversal with temporal decay modeling.

App. No. 63/993,278 • Patent Center #74663354

Provisional • Filed 02/28/2026

AI Self-Optimization Ecosystem

Adaptive learning layer with cross-platform network effect for educational diagnostic systems. Entropy-driven recursive branching for autonomous AI self-upgrades.

App. No. 63/993,317 • Patent Center #74663931

Provisional • Filed 03/01/2026

QECO: Qualia Entanglement & Collective Oracle

Hybrid AI-human optimization via qualitative input perturbation, decentralized hashed attribute aggregation, and entropy-driven synchronicity prediction.

App. No. 63/993,979 • Patent Center #74668095

Provisional • Filed 03/01/2026

Unified LEF Diagnostic & Autonomous AI

Unified multi-phase diagnostic reasoning engine and autonomous AI self-optimization ecosystem with cross-platform network learning and entropy-driven recursive branching.

App. No. 63/993,984 • Patent Center #74667530

Provisional • Filed 03/11/2026

CTE: Cognitive Graph Traversal Engine

Five-operation cognitive traversal method for concept graphs with self-reflective optimization, constitutional runtime governance, qualia-based inter-agent context transfer, and bounded self-modification.

App. No. 64/002,205 • Patent Center #74802827

Provisional • Filed 03/31/2026

Living Profile Architecture

Population-scale behavioral entity classification with context-conditioned academic pathway intelligence. Seven-dimensional longitudinal feature vectors, machine-derived profile types, and educator soft-sensor modeling with FERPA-compliant cross-institutional learning.

App. No. 64/023,988 • Patent Center #75105165

Supplemental Provisional • Filed 04/18/2026

Structural Discovery & Self-Reference

Cross-cutting supplemental consolidating fourteen new claims across the LEF Ai Engine: structural void detection, provenance-weighted graph gravity, internal self-calibration using traversal-internal signals as supervisory labels, domain-agnostic fingerprint transfer, structurally-grounded hypothesis generation, recursive concept-graph mutation, self-directed research agenda, convergence anchor detection, and extended edge typology including BRIDGES.

App. No. 64/043,294 • Patent Center #75356812 • Supplements all prior six provisionals

Supplemental Provisional • Filed 04/21/2026

Portfolio-Tesseract Composition

Structural composition geometry of the LEF Ai Engine claimed as its own invariant: four paired mechanism sets compose into an N-dimensional hypercube state space bounded by outward and inward pressures. Closes three previously-unfilled positions with method claims: opt-in structural telemetry emission (with cryptographic attestation), constitutional runtime governance enforcing declared invariants at the mechanism-composition layer, and engine self-coherence across heterogeneous deployments via canonical seed specification and drift-correction policy.

App. No. 64/045,185 • Patent Center #75384870 • Supplements all prior seven provisionals

Supplemental Provisional • Bundle A

Cross-Engine Topological Dynamics

Cross-cutting supplemental introducing six mechanisms operating across the engine's temporal and adversarial axes: cross-engine reasoning protocol over a distributed knowledge graph, adversarial contradiction-graph traversal yielding falsification-integrity scores, topological velocity scoring as a kinematic cluster property, temporal drift classification as a typed graph node, section-aware extraction of replication statements as typed contradiction edges from full-text source corpora, and Tesseract differential calculus over multi-snapshot states.

App. No. 64/061,710 • Supplements all prior eight provisionals

Supplemental Provisional • Bundle B

Portfolio Topology Extensions

Two supplemental mechanisms tightening the engine's structural-discovery layer: kinetic-decay classification of topological voids: the kinetic-encroachment metric κ(V,t) over a rolling temporal window distinguishing stable-silence, decaying-silence, and oscillatory states with colonization-window estimates; and cross-patent claim-element graph topology extended with an architectural-pattern axis, enabling shared-architecture detection (e.g., spatio-temporal dual-attention graph transformers across radically different domains) that verb-object canonical-element extraction alone cannot surface.

App. No. 64/061,715 • Supplements all prior nine provisionals