AI product development, by a team that ships its own
We have launched six products of our own, from a voice assistant for Mac to an AI interior design tool to a typing trainer for programmers. Each one taught us where AI products really fail: not in the model, but in the cost per user, the onboarding, and the billing page nobody planned for.
An AI MVP with us is a product, not a prototype. It is positioned, designed, built around the model with the boring parts done, and launched to real users within 12 weeks.
How an AI product comes together
Decornoa's hard problems were pricing per image and handling queues of requests, not the model itself. That is typical, and it is why we design the business around the AI before we build the AI.
Our AI MVP development process
- Define, week 1. The job, the buyer, the smallest provable version, the model options and their cost per user. A fixed-price plan.
- Design, weeks 2 to 3. Flows, screens, identity, and a clickable prototype you can show to first users.
- Build, weeks 4 to 10. The product, weekly demos, a test set for the AI parts, and analytics from day one.
- Launch, weeks 11 to 12. Store or web launch, feedback loops, and the first round of improvements.