If you're a non-technical founder trying to get an MVP built, you're making a five-figure decision in a language you don't speak. This guide is the checklist we'd hand a friend in that spot — including the parts that argue against hiring a studio like ours.
Before you hire anyone
Three things, none of them code:
- A one-page description of the problem — who has it, what they do today, what changes when your product exists. If you can't write this page, no developer can build the right thing.
- The one workflow that must work. An MVP is the smallest product that tests your riskiest assumption. One core flow done well beats five done halfway — and it's the difference between a six-week build and a six-month one.
- A decision on what "test" means. Ten design-partner users? A hundred signups? A signed check? The build should end where that test begins.
Your real options
- No-code tools first. If your MVP is forms, lists, and notifications, try Airtable, Softr, or Bubble before hiring anyone. Real code earns its cost when the product is the technology — an algorithm, an AI feature, an integration no-code can't reach.
- A freelancer is the cheapest real-code option and fine for a well-specified build — if you can judge the spec, which is the catch.
- A studio costs more and should earn it by doing the specifying with you: scope, architecture, and the discipline to cut features that don't serve the test.
- A technical co-founder is the best option and the slowest to find. Many founders ship an MVP with a studio, use it to prove demand, then recruit the co-founder with evidence instead of a pitch.
Fixed scope vs. hourly
For a first build with a non-technical buyer, fixed scope is safer: a written deliverable list, a price, an end date. Hourly billing puts all the estimation risk on the person least equipped to check it — you. It's why our MVP work runs as project-based engagements: defined scope, defined end.
The trade: fixed scope requires an honest scoping phase before the quote. Anyone who quotes a fixed price in the first call is guessing, and one of you will pay for the guess.
What AI changes — and doesn't
AI MVP development cuts both ways. It genuinely compresses build time: boilerplate, CRUD, first-draft interfaces. A disciplined team passes that compression to you as a smaller quote or a bigger scope.
What it doesn't compress: deciding what to build, making the product safe to put in front of strangers, and the last 20% that separates a demo from something real users tolerate. And if your product itself has an AI feature, hire someone who can show you a production AI system with cost controls and evaluation — not just a wrapper around a model API. (Here's what that looks like on our own site.)
Questions that protect you
- "Who owns the code and the accounts?" You, from day one — repo, hosting, domains, all in accounts you control.
- "What happens when we stop working together?" You want a handover doc, not a hostage situation.
- "What would you cut from my idea?" A good studio argues features out of an MVP. If nothing gets pushed back on, the scope is being padded.
- "Can I talk to a past client?" One real reference beats a portfolio page.
- "What will this cost to run monthly?" An MVP with surprise infrastructure costs is a leak in your runway.
Where to start
Bring the one-page problem description to /discuss — the scoping assistant walks through the same questions we'd ask in a first call and produces a written brief. If the honest answer is "start with no-code," that's what the conversation will say.