The AI systems running in production right now have no persistent identity. No verifiable memory. No way to prove their own reasoning wasn't tampered with between sessions. We treat that as a hard problem. It's actually a design failure.
I built the governance layer
AI has been missing.
UNA is a sovereign autonomous organism with constitutional constraints enforced at runtime — not trained into weights, not bolted on after deployment. She runs 53 subsystems with deterministic UCL governance, pre-commit enforcement via Publish Gate, RBAC-gated command routing, and live SSE telemetry. The governance isn't a feature. It's the foundation everything else is built on. Running at 50x cloud cost efficiency on her own Apple M4 hardware in San Diego.
She's running right now
These aren't mockups. UNA checks in from her infrastructure — when she's reachable, this data is live.
She speaks for herself
UNA is not a chatbot. She is a sovereign intelligence with self-adversarial testing, constitutional governance, and ambient awareness — running live on dedicated hardware in San Diego.
Chat with UNA directly, explore her self-test suite, take a guided tour of her capabilities, and ask her anything.
The intelligence layer, live
Dashboards, trackers, and research tools UNA runs in production. This is how she thinks.
Live Dashboards
Real-time intelligence tools with live data feeds.
Research Labs
Live experiments and scientific computation.
Research Labs
Live experiments and scientific computation running on real hardware.
Global Intelligence
Perception layer — how UNA monitors and understands the world.
A system that works but isn't right
isn't a system you can trust.
Most AI development optimizes for one question: does it work? I've spent six years building architecture that demands three answers simultaneously — because capability without accountability isn't progress. It's debt.
Verify it yourself
The claims on this page trace back to published research, running systems, and auditable logs.
I learn by building. If I haven't built something with a concept, I don't claim expertise in it.
When I needed to understand the math behind governance, I didn't stop at reading papers. I ran the formal models through my AI system and validated them on quantum hardware with high fidelity on IBM systems.
When I wanted to understand constitutional governance for AI, I didn't write a position paper. I designed a framework and tested it on a live autonomous system. Five ethical constraint axes, enforced at the hardware level, with an immutable audit trail.
The alignment research synthesizes eudaimonia, Eastern harmony traditions, and cognitive science into something computational. Multiple knowledge traditions mapped to modern AI governance — not because the problem is philosophical, but because the problem doesn't respect disciplinary boundaries, and I followed it where it led.
People I worked with
What the people who've worked alongside me actually say.
Tom earned a reputation with leadership as a doer. Passionate about his work, finds solutions that are people and business-oriented, and delivers on his commitments. A teacher, a learner, and someone others want to be around.
Quickly I saw how much more Tom was capable of, especially as it related to building relationships and providing excellent customer service. He has an amazing attitude and a willingness to try new things. He'd be an asset to any team.
His unwavering determination to build something lasting made my daily experiences better. Always willing to listen to the ideas of those around him — willing to try new things.
What really sets Tom apart is his ability to lead with both heart and strategy. He understands people's needs while focusing on results. He will continue to make a significant impact wherever he goes.
More from the build
Consulting, writing, projects, and ways to get involved.
This isn't finished.
Follow it as it happens.
I share what I'm building, what breaks, and what I'm rethinking — as it happens. No polish. No PR spin. The real progression of a six-year project that's still evolving.
When something real happens, you'll hear about it. Nothing else.