Your idea, shipped as working software in weeks.
LA MANO is an AI product studio in London. You arrive with an idea. Weeks later it is software with users. We isolate the signal, cut the noise, put AI where it actually counts, and ship before the excitement wears off.
What an AI product studio actually does
An AI product studio takes an idea and returns working software. Not a deck, not a prototype that only demos well, but a live product with users. We sit between the napkin sketch and the launched thing, and we close that gap in weeks. Strategy, product design, and engineering live in one set of hands, so nothing gets lost in the handoff.
The difference with an AI-native build is where the intelligence sits. We do not bolt a chatbot onto a finished app and call it AI. We design the product so AI lives in the core loop, doing the work only it can do, and stays out of the places where it would just add risk. The instinct of an artist decides what to make. The discipline of a lab decides what to keep.
Concretely: rapid product development from zero to one, MVP development for founders and teams who need to be in market, and the production hardening that turns a clever demo into something you can put your name on. We sell the thing, working.
From blank repo to launched product
- Zero-to-one MVPs From a blank repo to a real product with real users, built in weeks rather than quarters. The smallest version that tells the truth, shipped fast.
- AI-native product design AI placed in the core loop where it earns its keep, not stapled on as a feature. We design around the model, not despite it.
- Rapid iteration & deployment Tight build, measure, refine loops on live software. We ship to learn, then cut what only demos well and double down on what works.
- Production hardening & launch gates The unglamorous part that makes it real: reliability, security, and the gates a build has to clear before it goes in front of users.
How we work
- Scope the signal We find the one thing that has to be true for this to work, and aim the whole build at it. Everything else waits. A sharp problem is half the product.
- Build the core loop We make the smallest version that a real user can actually use, end to end. No scaffolding for its own sake, no features that exist to fill a roadmap.
- Put AI where it counts We place the model in the work only it can do, with hard limits it cannot cross. Trust here is a measurement, not a feeling. We test until we believe it.
- Ship, measure, refine We launch, watch what real use says, and iterate. We kill what only demos well and harden what people return for. The launch is a beginning, not a finish line.
Proof, not promises
Nothing here is a mockup. We have shipped a music sample marketplace, a net-worth tracker with an AI advisor, a reading-habit app, a browser game, and private trading and M&A tools, on the same playbook we run for clients. We take a few engagements at a time, by referral or pitch, so each one gets the full hand.
Built with these hands
More on the studio: AI & Automation Consulting and Music Catalog M&A.
Questions, answered
What does an AI product studio do?
It turns an idea into working software with users, fast. We scope the real problem, design the product around AI where AI earns its place, build the core loop, and ship a live MVP people can actually use. Strategy, design, and engineering sit in one room, so nothing gets lost in translation.
How long does it take to build an MVP?
Most builds run two to eight weeks from first call to a v1 with real users. The range depends on scope, data, and how much of the idea is already proven. We move in tight loops and ship the smallest thing that tells the truth, then harden it. Speed is a discipline here, not a shortcut.
How much does it cost to build an AI product?
We price per engagement, not per hour, against a fixed scope and timeline agreed up front. A focused zero-to-one MVP is far cheaper than a slow internal build, because we ship in weeks and cut anything that only demos well. Tell us the idea through the contact form and we return a clear figure with no padding.
What kind of products do you build?
AI-native consumer and business software, mostly web. We have shipped a music sample marketplace, a net-worth tracker with an AI advisor, a reading-habit app, a browser game, and private trading and M&A tools. If AI sits in the core loop and the thing has to work in front of real users, it is in our lane.
Do you keep working after launch?
Yes, when it makes sense. Our model is Build, Operate, Advise, so we can stay on to run the product, watch the metrics, and iterate, or hand over a clean codebase and step back. We do not need to own your roadmap forever. We do need launch to be a beginning, not a parking spot.
Who owns the code and IP?
You do. On a standard client build the code, the intellectual property, and the accounts are yours, transferred on delivery. We keep nothing you have paid for. Specifics are written into the agreement before we start, so there is no ambiguity later.
Bring us the idea.
Open for select clients, a few at a time, by referral or pitch. Tell us what you want to exist. We respond in under 24 hours.