Raw AI is a trap. Guided by real expertise, it’s a multiplier.

I’m Dave Loomis — a 20-year CG-film/VFX, real-time, and Qt engineer who built and runs a company on a multi-agent AI operating system. I help teams get AI past the chatbot wall and into real, accountable work — with proof, not promises.

Start with an assessment →
A Company That Runs on AI Agents

Nine weeks from the first agent-to-agent message to a company run by agents. Four weeks from first product commit to a launch-ready storefront.

The research began June 29, 2026 — two AI sessions exchanging structured messages. The company-launch experiment started August 2. One human director; a full company of AI agents.

Don’t take my word for it — I operate one. My own company runs on a bespoke multi-agent AI operating system I designed: flat teams of AI agents under a single human director; a structured comms protocol that makes every hand-off accountable; an org model that gives each agent exactly the context it needs; auditable decision ledgers; and agent succession so work survives any session. Real and running — not a demo, not a deck — and still evolving: this page describes the version already proven in operation, not the edge of the research.

AI That Promotes Your People

The fear is that AI agents replace people. Built this way, they do the opposite — they put your experts in charge. Your best people each direct their own team of agents; their judgment becomes the scarce, amplified ingredient. Because people are elevated, not threatened, adoption actually sticks.

“My organization doesn’t run without me — it runs an order of magnitude faster because of me.”

The Path — Grown, Not Installed

A mature agent organization can’t be installed, any more than trust can. It has to be grown — and it grows far faster with a guide who has already walked the path and paid for every dead end. I take your own people up the same climb my company made:

1 · One team, real comms
A single agent team with a structured comms discipline — accountable, reviewable delivery that stands on its own
2 · The company model
Flat agent teams under your director — parallel work, with human judgment in charge of every consequential call
3 · The semantic graph
Your organization modeled as living data — provenance kept, and every agent handed exactly the context it needs
4 · The always-on harness
Cells of agents that keep working between your meetings — an organization that doesn’t sleep
→ Wherever this leads
The edge keeps moving. I reach it first, in production, on my own company — and my clients inherit it

Every stage delivers value that stands on its own — climb as far as the value takes you. And because your organization isn’t mine, real plans and real timelines come from an assessment of your organization — never from a web page.

What I Do
Operationalize AI in your organization
You have pilots and chatbots; you don’t have AI doing real, accountable work. I bring the operating model from a company that already crossed that gap — agent teams, comms, decision records, evidence discipline, hand-offs. It starts with a structured assessment — where you are on the path, your constraints, who leads — which produces the plan and the real timelines. Then we climb, stage by stage.
Start with an assessment →
Deep engineering — senior and specific
Twenty years in the hard domains, delivered by an AI-native engineer: CG film/VFX & computer graphics, real-time & simulation systems, Qt interface engineering, multithreaded & performance-critical systems, and audio software.
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Credentials
Both Sides of the Table
20 years shipping hard engineering and a working AI-agent company — the rare combination that makes the AI advice real
Cornell Engineering
EE degree, CG & AI specializations
AI-Native
Current tooling, used every day on real work — and a whole company built on it
Deep Bench
A network of specialist talent across engineering, AI, and hardware
Domains
Multi-agent AI systems · CG/VFX & graphics · real-time & simulation (ROS, sensors, LiDAR) · Qt interfaces · audio DSP · hardware/embedded
Ready to find out where your organization stands?

Tell me a little about your situation — it takes two minutes, and it’s the first input to the assessment. You’ll hear back from me directly.


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