AI-native software studio
I build production applications, automation systems, and AI workflows — engineered by orchestrated fleets of AI agents under one operator's command. Research that takes a consultancy six weeks lands here in an afternoon, sourced and audited.
Capabilities
Every engagement runs on the same machine: agent fleets doing the volume work, one operator deciding what matters, and a verification pass before anything reaches you.
Assistants that answer from your documents and cite the source — and say “not on record” instead of guessing. Retrieval systems, document intelligence, and model integration built to survive an expert poking at them.
Native iOS and Android from one codebase, shipped through TestFlight to real devices — offline-capable, biometric-secured, and fast enough that a plant manager understands it in thirty seconds.
The paper, phone calls, and spreadsheets between two systems that nobody owns. I map the real process — not the one on the org chart — and automate the part that costs hours every day.
Fleets of specialized agents working in parallel lanes on one problem — research, code, design, verification — with an auditor that rejects any claim without a source before it reaches a human.
Market, competitor, and operational research where every figure carries a source and a date. Anything unsourced is labeled an estimate or struck. I never hand you a number I can't defend.
Most engagements start with software already built. I study the operation, find the problem worth solving, and put a functioning app in your hand before the first invoice exists.
Method
Scale is easy. Trustworthy scale is the hard part. Every engagement I run moves through the same five stages, in this order, because the order is what keeps volume from turning into noise.
The problem is decomposed into independent lanes. Each agent gets one domain, explicit rules, and a hard boundary against the others.
Lanes execute simultaneously — research, code, design, data. Work that would run for weeks in sequence finishes in a single sitting.
A dedicated agent researches nothing. It reviews everything: strikes unsourced claims, marks conflicts unresolved rather than picking a winner.
Findings become software. Typechecked, device-tested, bundled — a working artifact, not a specification document.
You get the app in your hand, the evidence file behind it, and a written list of what could not be confirmed.
Under the hood
An assistant is only as good as what it can find. Mine run on compressed vector indexes — residual quantization layered over binary embeddings — so a search across decades of manuals, drawings, and service records returns in milliseconds on hardware you already own, and keeps returning when the corpus grows by an order of magnitude.
The compression is the reason it stays fast. The citation contract is the reason you can trust what comes back.
Engagement pattern
No introduction, no brief, no access to their systems. Fourteen research agents swept the company in parallel — products, operations, workforce, technology, leadership, regulatory environment — while an auditor struck every claim that arrived without a source and flagged one entire source as unreliable.
The evidence pointed at one problem: an aftermarket parts business running on a phone line, a fifteen-year-old catalog, and the memory of employees who were leaving. Two applications were designed, built, and device-tested against it — a knowledge engine holding every machine the company ever built, and a configure-price-quote tool priced from their own published contract data.
Elapsed time from first search to working software on a phone: seven days.
Products
Two products born out of that engagement, each deployable to any equipment manufacturer and white-labeled under your brand.
How it starts
No discovery retainer, no six-week assessment, no statement of work written before anyone understands the problem. The order is deliberately backwards from how consultancies do it.
Agent fleets sweep your market, competitors, published records, and public documents. You get a sourced report naming the problems the evidence actually supports — ranked, with confidence levels and an explicit list of what could not be confirmed.
Days, not weeks. No cost to you.You pick the problem worth solving. I build a working application against it and put it in your hand — running on a phone, not sketched on a slide. You poke at it, break it, and decide whether it's real.
Free. That's the whole pitch.Your data loaded, your brand on it, your systems connected, your team on it through TestFlight or the stores. Fixed-scope project or retained capacity — whichever fits how you buy.
This is the part you pay for.Who this is for
The pattern repeats across industries: decades of institutional knowledge, a workforce turning over, and critical processes still running on paper, phone calls, and spreadsheets nobody owns.
Who you're working with
Twenty-three years of military logistics teaches you to read a broken process the way other people read a sentence. Launch and range operations don't forgive hand-waving: every part has a source, every claim has a record, and the mission either works or it doesn't.
That discipline is what makes agent fleets safe to deploy at scale. The agents produce the volume. I decide what's true, what matters, and what gets built. Your problem is process pain — and process pain is my native language.
Start here
Every engagement opens the same way: I study the operation, find the problem the evidence actually supports, and put working software in your hand. Not a proposal, not a deck — something you can hold and break. You'll know within days whether it's worth going further.