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Questions we’re exploring · 02

When does an AI demo become a daily tool?

A useful result must survive repeated use, difficult inputs and the need to check its work.

An open line of inquiry

The problem

A demonstration can select the input and guide the interpretation. Real work arrives in inconsistent formats, with missing context and consequences for mistakes. The distance between those settings is where many promising products struggle.

Our working thesis

Products that define a narrow job, make uncertainty visible and fit an existing decision process may earn trust faster than broadly capable tools without clear boundaries.

What would help us learn

We would look for repeat use on naturally occurring tasks, a record of failure cases, the time required to verify results and evidence that users can recover when the system is wrong. A good test includes the tasks that make the product uncomfortable.

If your users are bringing the product back into real work, tell us what they return for and what still breaks.

You do not need every answer.
Start with the question.

Tell us what you’re building