Home / AI consultancy / AI prototype to product

Service

From AI prototype to product

The prototype works on one laptop, with the inputs you chose. The product has to work for every user, every day, with the inputs they choose. That gap is the work we do.

Where AI prototypes get stuck

A demo needs one good answer. A product needs a good answer the ten-thousandth time, at a cost you can carry, with a plan for the times it is wrong. These are the parts a prototype usually skips:

• Knowing if it is good. A set of real test cases and a score, so a change to a prompt or a model is a measured decision, not a hunch.
• Cost per use. What one request costs today, and what it costs when usage is a hundred times higher.
• Speed. Answers fast enough that people wait for them.
• Being wrong safely. What the product does when the model is unsure, slow or simply mistaken, and how a person finds out.
• Data and privacy. What leaves your systems, what is stored, and who can see it.
• The product around the model. Onboarding, the screens, the empty states, the bits that make someone come back.
• Running it. Releases, monitoring and the routine that catches a problem before your users do.

How we work

1. Read what exists. The code, the prompts, the data and the people it is for. You get a straight answer on what to keep, what to rebuild and what to drop.
2. Agree the first release. The smallest version real people can use, and the number that says it is working.
3. Build the missing parts alongside your team, or for you if there is no team yet.
4. Ship it and watch it. Real users, real numbers, then the next change.

Why us

This is one part of our AI consultancy work. We do this on our own products first. Delphina explains someone's finances in plain English, inside the limits UK finance sets on what you may say. Vibresia is a native Mac app people install. Both are live. Our founder, Syd Lawrence, is a data and AI operator who co-founded and sold The Bot Platform and AwesomeWall, whose customers included Facebook, GSK, UEFA and the Singapore Government.

Questions

What does "prototype to product" mean?

Taking an AI demo that works for the people who built it and making it work for real users: measured quality, known costs, safe failure, monitoring and the product around the model.

Do you work with our existing team?

Yes. We can work alongside your engineers, or build it for you if there is no team yet.

Which AI models do you use?

Whichever does the job at a cost you can carry. We choose by measuring on your own test cases, not by brand.

How do we start?

Email help@minithlabs.com with what you have built and where it is stuck. We reply with what we would do first.