MVP vs prototype: why an AI mock-up isn’t a business yet
AI tools can visualise an idea in an afternoon. Turning it into something customers pay for takes accounts, payments, security and a revenue model.
Today you can describe an app to an AI tool and see clickable screens within minutes. That is a prototype, and it is genuinely useful for testing an idea and showing it to people. But a prototype is not an MVP.
What a prototype does
A prototype shows how the product could look and flow. It helps you get feedback, align co-founders and explain the idea to investors. It usually has no real users, no real data and no way to take money.
What an MVP adds
- Real sign-ups, logins and user data stored securely
- Payments, subscriptions, invoices and refunds
- An admin panel to run the business day to day
- Analytics that show what customers actually do
- Customer support and instant replies to enquiries
- A foundation that can scale to more users and markets
The real test: will people pay?
An MVP exists to answer one question: will the right customers use this and pay for it? That is why we start every MVP with buyer research and build the revenue model in from day one, rather than adding it after launch.
Use both
Bring your AI prototype to the discovery call. It speeds up the conversation, and we turn it into a product that can earn.
