How long does it really take?
Six to twelve weeks for something you can put in front of a customer. Below six weeks you get a demo, which is a different thing serving a different purpose.
For a startup or for a new line of business: something you can put in front of a real customer, soon, and learn something from.
An AI-first MVP is not an ordinary product with a chatbot bolted on. It is a product where the model is the foundation: take it away and nothing that works is left.
Building them is different because the uncertain part is not the technology, it is the quality of the answers on real data. Which is why the first thing we build is the way to measure it.
A set of real cases with the right answer next to each, before any interface is written. Without it, every prompt change is one opinion against another.
MVPs die of too many features, not too few. You pick the case that can carry the product on its own and take it to a level somebody would pay for.
Authentication, roles, logs, cost per user. These are the things that cost ten times as much to retrofit, and that take two days in an MVP.
Repository, infrastructure, keys. If tomorrow you take it in-house or hand it to another supplier, there is nothing to buy back.
Six to twelve weeks for something you can put in front of a customer. Below six weeks you get a demo, which is a different thing serving a different purpose.
It helps a great deal, but it is not a prerequisite. In the first week we look at what exists: data often turns out to be sitting in a form nobody thought of as data.
Model costs are estimated during the prototype, per user and per month. It is one of the numbers we hand over at the end of discovery, because on an AI product it changes the business model.
Yes, and it is the most common case. There the fractional AI/CTO and the MVP usually go together: you need someone who decides with you, not only someone who executes.
A free 30-minute call, with no commercial follow-up unless you want it.