What's the difference between an MVP and a prototype?

Pillar

A prototype is a clickable model of your product, usually built in a design tool like Figma, with no working code behind it. An MVP is real software that real users run. Prototypes are for testing the experience and pitching before you spend on engineering; an MVP is for learning whether people actually use and pay for the thing. Ask any partner which one your budget buys, because a demo that looks finished and a product that works are very different purchases.

Other things you may want to know

Frequently asked questions

Can HIPAA-compliant software use AI features?

Yes, with deliberate architecture. The compliant paths are real: AI vendors that sign business associate agreements, zero-retention configurations, and de-identifying data before it leaves your system. The common failures are mundane, like piping patient conversations through an unvetted transcription tool or letting prompt logs accumulate PHI in a logging service outside the BAA chain. Decide feature by feature, before launch, what data the model sees and under what agreement. An AI feature bolted on in a sprint is how clean systems become liabilities.

How much does HIPAA compliance add to a software build?

Less than founders fear when it's designed in from the start, and far more when it's retrofitted. Built in early, compliance is mostly architecture decisions (eligible services, data modeling, access controls, audit logging) layered onto a normal custom build, though a compliant product usually starts above the entry point of a comparable standard build because the safeguards add scope to every feature they touch. Retrofitting touches every endpoint and table and forces a full re-test of a live product. Our discovery engagement maps PHI flows and prices the compliant build line by line before you commit.

Do I need a BAA with my hosting provider and AI vendors?

Yes, with every vendor in the path of protected health information: hosting, email, error tracking, transcription, and any AI API that sees identified patient data. The major clouds sign business associate agreements covering specific eligible services, and some AI providers offer them on enterprise tiers with zero-retention configurations. One vendor without an agreement breaks the chain no matter how good your own controls are, which is why the vendor list belongs in your architecture plan instead of a post-launch cleanup.

Is there an official HIPAA certification for software?

No. No government body certifies software as HIPAA-compliant, so a "HIPAA-certified" badge is a marketing claim rather than a legal status. What exists is the ongoing practice of compliance: risk assessments, safeguards, agreements, and documentation maintained for as long as you handle protected health information. Third-party audits can be useful evidence for enterprise buyers, and they still only describe how you operated at a point in time. Treat any vendor leading with a certification stamp as a signal to ask harder questions.

What makes software HIPAA-compliant?

HIPAA compliance is a combination of technical safeguards built into the software (unique user access controls, encryption in transit and at rest, audit logging, integrity controls), signed business associate agreements with every vendor that touches protected health information, and documented policies for the people operating it. No single feature makes a system compliant; the architecture, the vendor chain, and the operating habits have to hold together. Ask any team you're vetting to walk you through where PHI flows in their proposed design; specifics are the difference between compliance and marketing.

Will I lose my data when migrating off a no-code platform?

You shouldn't, and with a planned migration you won't. Most platforms offer export paths (CSV, API access, or both), and the real work is mapping old fields to the new data model and deciding which historical records matter. That mapping belongs in the migration plan before development starts, along with a validation step that proves the numbers match after the move. Data migration is unglamorous, and it's the part sloppy rebuilds get wrong, so make sure it has its own line in the scope.

Do I have to rebuild everything at once when leaving no-code?

No. The better pattern is to migrate the product core one workflow at a time while keeping the parts of your stack that still serve you, like a marketing site on Webflow. Shipping the highest-pain workflow first gets you relief early, and running the old and new systems in parallel for a short period means users move over without drama. A big-bang rewrite is almost never the right plan, and a partner who proposes one without justifying it deserves follow-up questions.

How much does it cost to move from no-code to custom software?

A focused first version of a custom product typically runs $25,000 to $75,000, and migrations often land toward the friendlier end of that range because the requirements are already proven by your existing app. The bigger number to watch is the one you're already paying: a metered platform bill that scales with usage forever. Our discovery engagement (Fixed price, two to three weeks) prices your specific migration line by line, so you can compare the two honestly before committing.