Start with the problem

How do we turn an AI idea into an MVP?

Prove the core user workflow before committing to a larger product build.

The situation

An idea can contain several assumptions: that the model can do the task, that the data is available and that people want the resulting experience. A prototype should test the assumption that matters most.

What we investigate

We clarify the intended user, current workaround, first useful outcome, data and integrations. We define what the proof needs to demonstrate and what remains outside its scope.

What a first proof could show

For a clearly scoped problem, a working proof can often be demonstrated in 1–3 days. Review it with intended users, then decide what belongs in the MVP and what to defer.

Boundaries to agree

Prototype speed is not a production promise. Security, integrations, evaluation, operations and support are part of the next scope, with fees and responsibilities agreed before work starts.

Related solutions

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