Ship a Production AI MVP in 4 Weeks
Three weeks to build one AI capability completely, one week of testing against your real users — not a demo that impresses in a pitch meeting and cracks the moment an actual user touches it.
You need something real users can touch before you're back pitching investors or handing it to a pilot customer — not a slide, and not a full-time engineering hire you can't make before your runway forces the decision. A no-code prototype gets you into the room; it rarely survives the first real user who does something the demo never anticipated.
Hiring solves it eventually, if you can find, vet, and onboard the right person before the opportunity closes. Most pre-seed and seed founders don't have that runway. What they need is a working AI system in production in weeks, built by people who are still around to fix it the week after it ships.
Built for a founder's timeline, not a slower one
Two architects, no bench
Whoever scopes your engagement is one of the two people who write the code, review it, and stay reachable after launch — no project manager relaying your spec to engineers you've never met.
Grounded from the first commit
A grounding guard rejects any model output citing a number the underlying system didn't actually produce, so the answer your users see is either correct or honest about not knowing — not a guess wearing confidence.
Every deviation on the record
If scope has to move to hit the four-week mark, it's a numbered ADR naming what changed and why — agreed before the deadline, not a surprise you discover at handover.
Built to survive your next round
Tenant isolation and grounding guarantees go in during the build, not retrofitted the week a customer's security questionnaire lands on your desk.
AI MVP Build: from $5,000, 4 weeks
One core AI capability, scoped and shipped completely, with a hypercare window and a 30-day warranty after launch. Final scope and quote come out of a scoping call, not a generic estimate.
Shipped, not just demoed
A sample of production builds across retail, consumer tech, and agritech — deployed and running, not left in a sandbox.
Custom Platforms
Guardian Care — Solar Assessment & Monitoring
Solar assessment and monitoring platform that transforms on-site solar visits into actionable findings. Features an offline-ready on-site assessment flow, a command centre for portfolio management, homeowner portal for energy insights, and a versioned rules engine for audit-trail transparency. Every finding is traced to the exact threshold that triggered it.
AI MVP Development
Polymath — Personal Knowledge & Recall System
A personal knowledge and spaced-repetition system spanning eight study fields (AI hardware, software, biohacking, neuroscience, biochemistry, electrical engineering, business/sales, and research methodology). Captures material from multiple sources, enables retrieval via voice and text with citations back to the exact passage, and uses layered questioning (recall → explain → apply) with automatic weak-area detection. Integrates research literature feeds to resurface forgotten concepts and material from underperforming topics.
Custom Platforms
AI-Assisted Risk Monitoring Platform
We develop AI-assisted fintech monitoring and real-time risk-management systems. This engagement is under a publication bar, so the line above is the whole of what can be said about it. The build ran the way every engagement here does: architecture decisions written down as ADRs, and a lead architect reviewing each step before it moved on.
Start with a scoping call.
Tell the two architects who'd build it what you need, and they'll tell you plainly what it takes — no sales deck, no pressure to sign anything.