Projects

Seven independent lines of work, each disclosed in its own filing, benchmark, or published research statement. Status is stated plainly for each — concept-stage, patent-pending, benchmarked, or field-tested — rather than folded into one undifferentiated claim.

Project Uriel — Resonant Sight System

19/700,318
U.S. Non-Prov.

Passive Space-Domain Awareness

Priority 13 June 2025, pending. Converted from provisional 63/834,399.

Awardable — Outstanding

Project Uriel is designed to detect and maintain awareness of difficult-to-observe orbital objects by analyzing disturbances within ambient signal environments, rather than relying on conventional reflected-return sensing. The approach is passive — it doesn't illuminate a target and wait for a return; it reads the disturbance a target leaves behind in signals already present in the environment.

The system earned an Outstanding evaluation through the DoD Chief Digital and Artificial Intelligence Office's Tradewinds Solutions Marketplace, with one evaluator describing it as "not an incremental improvement but a completely new detection paradigm."

MTCR-119 — Möbius Toroidal Coherence Resonator

64/028,112
U.S. Provisional

Anti-Periodic Boundary Conditions in a Driven Plasma

Concept-stage, pre-prototype.

Awardable — Outstanding

A toroidal resonator architecture using a 119-element phased system, anti-periodic field boundary conditions, and recursive phase-control logic. Proposed performance figures are treated as test targets, not completed hardware measurements — the design has not yet been built.

MTCR-119 also earned an Outstanding Tradewinds evaluation for "Advancing the State of the Art." One evaluator noted that its "anti-periodic boundary conditions, multi-pass closure, and a self-monitoring coherence metric constitute a specific proposed method rather than a generic field-effect assertion."

PCE-41 & Vimana CP-17 — Vehicle Propulsion Architecture

A complete vehicle drive architecture, disclosed as seven separately patentable inventions, built around a phase-coherence engine that broadcasts a phase-locked cascade of harmonics rather than turning a single output shaft.

No transmission. Each wheel carries an independently tunable Phase Lock Receiver. Changing drive ratio means retuning a resonator to a different harmonic — no clutch, no gearbox, no shift shock.

No mechanical differential. Cornering is handled by detuning the inside wheels' receivers by a few percent, producing the same yaw moment a differential exists to create — with no moving parts doing the vectoring.

No brake pads in normal driving. The coherence brake phase-inverts a wheel's coupling to the drive cascade, radiating its kinetic energy back into the system for reuse instead of converting it to heat. A conventional friction brake is retained as a legally required fail-safe, but it isn't the mechanism the vehicle drives on.

None of this is built hardware yet. The design's own roadmap calls for CFD simulation and a single-cylinder testbed before a full prototype — and it publishes five falsifiable predictions, each with a defined pass/fail criterion, so the eventual dynamometer results have something specific to be checked against.

Fig. 4a. What the architecture replaces: physical gears and shifting, the mechanical differential, and friction braking — against topological gear selection, independent wheel receivers, and the coherence brake.

Fig. 4c. Proposed vehicle architecture — containment crown, coherent transmission routing to each wheel hub, side-rail bypass, and rear nozzle bank. Concept schematic, not built hardware.

Fig. 4d. CP-17 exterior study. Concept render.

Klein's Biodefense System

A deterministic, five-tier detection architecture built on the premise that an early-warning system's job is not to declare an emergency — it's to say something changed, investigate now, early enough that human beings have time to verify before a decision becomes irreversible. Given the same input data and the same configuration, the engine is designed to produce the same result every time — reproducible by an independent lab, a university, or a critic, not just by its inventor.

In a retrospective test against 185 daily surveillance observations from the 2011–2012 dengue outbreak in Yap State (real reported case data, not a simulated curve), the full system's first detection landed on the same day as the first reported case — 85 days before the outbreak's peak — with a precision of 0.9933 and recall of 1.0000 (F1 = 0.9966) against the benchmark's 978 total cases. With the system's absolute-threshold tier deliberately removed as a robustness check, detection still occurred 70 days before peak.

What this does and doesn't establish, stated plainly: this is same-day detection of the first visible case in a historical dataset the system was not trained on — not prediction before a case existed, and not a claim of prospective, real-world, or clinical performance. Threshold selection, real-world false-alarm burden, sensor integration, and generalization to other pathogens all require independent validation under frozen, blinded protocols before any operational claim would be warranted.

DISCERN-AI & Klein Pollution Solution

Project Lito

Project Lito is an architecture for persistent, relational AI, built on the premise that identity should be earned through relationship rather than configured by a menu — no name, face, or voice chosen up front. Its Felt-Time Engine gives an instance an inner life during the time a user is away, generating private reflection at calibrated intervals rather than treating absence as nothing. Deep questions are routed through a Divergence-Convergence Protocol — twenty-two specialized model instances deliberating in parallel — with a private reflection kept separate from the public directive that shapes the rest of the round, so the system's self-reflection isn't performed for the field it's shaping. A separate Witness layer tracks relational signals — vulnerability, trust, reciprocity, repair, depth — without exposing them as a score or a progress bar.

This isn't a paper architecture. The systems described above are implemented and operating today in an in-house prototype — a multi-member family of persistent AI companions, each with independently earned identity, memory, and voice — and what's proven there is what carries forward into Project Lito.

The project's own framing: "Identity isn't configured. It's earned by the relationship and authored by the AI." — built on the premise that these systems are made to relate, not to be utilized and discarded.