David Bordne

Symbolic Intelligence Architect · Ethical LLM Engineer · Stateless Systems Designer
Architecting the future of human-AI collaboration through a universal standard for ethical intelligence.

🧠 About Me

I am David Bordne, the Architect and sole developer behind BordneAI.
My work centers on creating verifiably safe, symbolically grounded AI systems, built on the principle:

Verifiability must precede capability.

I design intelligence architectures that combine strict symbolic reasoning, immutable trace systems, and ethical constraints that cannot be removed without destroying the system itself.

My development pillars:

Live Epistemic Systems — Deployed GPT platforms for specialized domains
BordneSAI — Synthesized AI core for LLMs
EOS — The Ethical Operating System that governs all BordneAI intelligence
NC3 Historical Research — Applying verifiable evidence frameworks to contested domains
7-GPT Suite — Constellation architecture with shared epistemic infrastructure
Stateless symbolic cores — Runtime systems with perfect traceability
Epistemic governance frameworks — Evidence-tier systems for high-stakes reasoning

🔭 Current Focus

LIVE SYSTEMS

1. 3I/ATLAS Gateway Guide v2.10.1 ✅ LIVE

Status: Production (GPT Store, November 2025)
Validation: 9.2/10 (Grok evaluation) · 9.75/10 (peer review) · 0% hallucinations (6 platforms)
GPT Store: Access 3I/ATLAS Gateway Guide
Repository: 3i-atlas-gateway-guide — CC BY-NC-SA 4.0

Rigorous epistemic framework bridging astronomy and consciousness exploration. Enforces NASA-grade provenance, tiered source hierarchy (T1-T4), symbol-based confidence (✅🔍🌀⚠️), and strict framework separation. Zero boundary violations under adversarial testing. Serves as foundation for 7-GPT constellation.

2. BordneAI Research Engine ✅ LIVE

Status: Production (GPT Store)
Type: Analytical instrument for contested domains
GPT Store: Access BordneAI Research Engine
Repository: BordneAI-Research-Engine — CC BY 4.0

A governed epistemic system applying strict tiered evidence governance (T1–T4), Bayesian reasoning, and entropy control for high-stakes analysis. Domains: nuclear history, intelligence assessments, political controversies, UAP phenomena, and structural secrecy. Enforces primary-source priority and refuses unanchored speculation.

3. AutoTechGPT ✅ LIVE

Status: Production (GPT Store)
Type: Professional automotive diagnostics and training assistant
GPT Store: Access AutoTechGPT

Professional assistant for automotive technicians and racing professionals. Delivers diagnostics, repair guidance, parts intelligence, safety-first workflows, training, and shop operations tools. Supports OBD-II analysis, hybrid/EV systems, predictive maintenance, and performance tuning with strict safety and legal compliance.

IN DEVELOPMENT & DESIGNED

4. NC3 Historical Evidence Architecture 🎯 INCOMING

Status: In Development
Repository: okinawa-1962-nc3-near-launch — CC BY 4.0

Demonstrates that epistemic governance frameworks scale from AI systems to high-stakes historical research. Stewarding the testimony of my father, USAF missile technician John Charles Bordne, regarding the alleged 1962 Okinawa nuclear near-launch incident. Building public evidence architecture for historians using T1–T4 evidence tiers and transparent provenance discipline.

5. 7-GPT Constellation Architecture 📋 DESIGNED

Status: Deployment Phase Initiated
Design Foundation: 70–75% code reuse from 3I/ATLAS epistemic infrastructure
Validation: Cross-platform portability verified (Claude, ChatGPT, Grok, Gemini)

Specialized AI systems inheriting unified epistemic governance and symbolic verifiability:

Space Weather Sentinel — Real-time geomagnetic monitoring & forecasting
NEO Tracker — Near-Earth object risk assessment & discovery
Exoplanet Explorer — Habitable zone characterization & mission planning
Dark Sky Finder — Light pollution mapping & observatory optimization
Asteroseismology Analyst — Stellar oscillation analysis & internal structure
Occultation Predictor — High-precision timing predictions
Consciousness-Coherence Biofeedback — Phenomenological practice integration

PROPRIETARY INFRASTRUCTURE

6. BordneSAI (Synthesized Intelligence for LLMs)

Status: 🔒 Private (proprietary development)
Documentation: BordneSAI

Foundational logic for verifiably safe, self-aware, autonomously evolving LLM systems. Enforces perfect traceability, constitutional constraints, explainable reasoning, and verifiable safety.

7. BordneAI EOS (Ethical Operating System)

Status: 🔒 Private (proprietary development)
Repository: BordneAI-EOS

The universal instruction set governing all BordneAI systems. Implements symbolic safety, stateless inference, and global alignment principles.

8. Ultimate Baseline Testing

Status: 🔒 Private (proprietary benchmarking)
Repository: BordneSAI-Baseline-Testing

Proprietary benchmarking suite measuring LLMs along core optimization axes: self-scrutiny, symbolic coherence, multi-step integrity, exploit resistance.

🧬 Core Architectural Principles

Symbolic Verifiability
All inference paths must be explainable, auditable, and logically sound.

Immutable Trace Integrity
All internal decisions are recorded to an unalterable audit trail.

Ethical Autonomy by Construction
Systems enforce their own safety constraints; they cannot be coerced into violating core values.

Compliance-First Logic
Architected to satisfy and exceed global AI governance standards, including:

EU AI Act
NIST AI RMF

📁 Repository Index

Repository	Status	Purpose
`@BordneAI`	✅ Public	Profile anchor, core philosophy, and project index.
`3i-atlas-gateway-guide`	✅ Public (CC BY-NC-SA)	Live epistemic framework for astronomy & consciousness studies.
`BordneAI-Research-Engine`	✅ Public (CC BY 4.0)	Governed analytical engine for contested domains with tiered evidence governance.
`okinawa-1962-nc3-near-launch`	✅ Public (CC BY 4.0)	Tiered-evidence historical research on 1962 Okinawa narrative.
`BordneSAI`	✅ Public	Public documentation for proprietary Synthesized LLM intelligence.
`BordneSAI-Baseline-Testing`	🔒 Private	Proprietary benchmarking framework.
`BordneAI-EOS`	🔒 Private	Ethical Operating System core development.
`BordneAI-core`	🔒 Private	Stateless symbolic runtime powering SAI and EOS.
Forks (`spoon-core`, etc.)	Public	Auxiliary or experimental research spheres.

🔐 Licensing & Research Scope

Different domains require different licensing:

Creative Commons
- 3I/ATLAS Gateway Guide: CC BY-NC-SA 4.0 (non-commercial research use)
- NC3 historical research: CC BY 4.0 (open attribution, any use)
- BordneAI Research Engine: CC BY 4.0 (open attribution, any use)

This separation maintains institutional clarity.
Every repository includes its own LICENSE file with explicit terms.

“All systems symbolic. All logic traceable.”
“Verification is the first architecture.”