What’s included
(05)You are about to spend real money building something, and you still do not know if people will use it.
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A working prototype
Something people can click, type into and use with real inputs, not a slide or a static mock-up.
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Only the core
We build the one part that proves or disproves the idea, and leave out everything that can wait.
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AI ideas tested properly
For AI features, the prototype runs on real models and real data, so you see true answers, true costs and true failures.
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User testing
Sessions with the people the product is for, with notes on where they hesitated, got lost or lit up.
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A clear next step
A written view of what worked, what did not, and what the full build would need.
When you need it
- You are about to brief a full build on an idea nobody has tried.
- Investors want to see it working, not described.
- Your team disagrees on whether a feature will work.
- An AI idea looks good on paper and you need to know if it holds up.
How it runs
(04)You get a written scope, a fixed price and a start date before anyone begins.
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Pick
We agree the one question the prototype must answer.
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Build
The smallest working version that can answer it.
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Test
With real users and real inputs, including the ones meant to break it.
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Decide
Keep, change or cut, with the evidence written down.
What you leave with
- A working prototype you can use and demo
- Notes from tests with real users
- Known costs and limits for AI features
- A keep, change or cut recommendation
- A brief for the full build, if it is worth it
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FAQ
Answered questions.
A prototype answers one question: will this work, and will people use it. An MVP is the first version you ship to customers. We often build the prototype first so the MVP is built on evidence.
Sometimes parts of it can, and we tell you which. A prototype is built for speed, so the full build adds proper design, security and QA through our technology practice.
Then you found out early, before the big spend. We say so plainly, explain why, and do not build it out.
