One mind. A hundred hands. I command swarms of specialized AI agents to plan, build, test, and ship — every decision mine — and out comes production-ready code that holds up under real users, real data, real load. The output of an entire studio — from a single pair of hands: mine.
Two ways to work with me.
Two ways to work with me: I build the AI that saves your business time and money — or I make your team able to get the most out of today's AI themselves.
Save money. Save time. Without hiring. I deploy AI exactly where it pays for itself.
I map your operation and hand you a ranked list of exactly where AI saves you hours and dollars — biggest ROI first. You keep the map even if we never work together.
I kill the repetitive manual work and drop AI agents into your real workflows — connected to the tools you already run, working around the clock.
When off-the-shelf won't cut it, I build from scratch — full-stack apps and AI SaaS, database to polished UI, shipped end to end.
Don't just hire the work out — build the capability in. I help your team and your leaders get the most out of today's AI tools — the systems, judgment, and workflows that took thousands of production hours to learn.
Work with meStand up an agent-orchestrated dev workflow so your engineers ship like a full studio — planning, building, reviewing, and testing on command.
The craft that makes AI reliable: the right context, evals, and architecture — so your AI survives production, not just the demo.
Reshape how your team operates around AI — tooling, process, and hiring — so AI is your default, not a side experiment.
Big work used to need a big team. Not anymore — and I'm one of the people who proved it.
It started in 2022. I generated my first real code with GPT and knew immediately — the internet was about to be rewritten, and I was early. So I went all in: thousands of hours learning how these models actually think. That's the edge your project gets — the judgment most builders skip.
Now founders bring me the problems that are stuck, and I ship them — solo, at the scale of a team. I direct AI agents to plan, build, and test, but I'm steering every call. I know the architecture, so the model never guesses. That's the difference between generating code and building systems that survive real load and real money.
The craft behind it has a name: context engineering — the right context, not more. It's why my work keeps running long after the demo everyone else is still impressed by.
I take on only a handful of projects at a time, by design — so yours gets my full focus, and you get a partner who's genuinely invested, not a vendor juggling ten clients.
Everyone codes with AI now — and most of them ship systems and AI agents that break the moment real users arrive. Mine don’t, and there’s a reason.
A swarm of AI agents is only as good as the person steering it. I master both halves: context engineering — feeding each agent exactly what it needs, and nothing it doesn’t — and the software architecture to steer every decision, so the model never guesses where the whole system has to hold together. That’s why my swarm ships production-ready code, while everyone else’s breaks.
With nothing real to go on, the AI just guesses. It doesn’t know the libraries it’s using or how the codebase fits together — so it invents functions that don’t exist and breaks the ones that do.
I’ve built systems that hand each agent precisely what it needs — the right pages of the library docs, and the right parts of the codebase to ship the next feature. Nothing missing, nothing wasted.
Dump in the entire documentation and the whole codebase and the model drowns. Buried in detail it doesn’t need, its output turns slower, pricier, and lower-quality.
Same models everyone else has. The difference is me — engineering the context and steering the architecture on every call. That’s why my swarm ships, and theirs breaks.
Work with meSystems in production. Outcomes that hold.
Three case studies from projects I’ve shipped — a clinic group, a marketing agency, and an asset management firm. Results and stacks exactly as built.
The problemProspective patients submitted the website form, then waited. After-hours and weekend enquiries went cold, and bookings slipped away to whichever clinic called back first.
What I builtAn AI voice agent that calls the instant a form lands — qualifies the patient, answers their questions, and books straight into the calendar. A front desk that runs 24/7, with no one on shift.
The problemFrontier video models top out at a few seconds per clip, with characters that drift between cuts — useless for real long-form advertising.
What I builtAn engine that takes one script, auto-splits it into optimized Sora 2 prompts, renders every shot, and stitches them into a single continuous ad — the same character and look from first frame to last.
The problemEvery morning, analysts burned hours stitching together what moved across global markets overnight — before the real work could even begin.
What I builtAn automated intelligence pipeline that ingests overnight news and market data, then compiles one high-signal brief — on the desk before the open, every trading day, untouched by human hands.