From capability to usefulness
Three questions to ask when a new AI capability reaches your desk.
Start with the experience
A demonstration shows what is possible in a selected situation. A business decision needs a clearer account of what happens with ordinary inputs, incomplete information and unusual requests. Before adding another tool, identify the task, the person responsible and the evidence that would justify continued use.
Why it matters to an AIpreneur
Ask what improves, for whom, and how you will know. Creating economic value means connecting a capability to a useful outcome for someone. That connection depends on the setting: the people involved, the resources available and the consequences when a result is wrong. A convincing demonstration cannot answer all of those questions.
A practical starting point is to follow one piece of work from beginning to end. Ask where people spend time, what they need to trust and which decisions carry consequences. Keep the existing process available while testing a change, so the comparison reflects the work rather than an idealised version of it.
Questions for the conversation
What surprised you in the first attempt? Which assumption did a customer challenge? Where did the tool help, and where did you decide to step back? What would you want another builder to understand before trying something similar?
Ask what improves, for whom, and how you will know.
The question behind every AIpreneur piece: why does this matter to someone building, creating or contributing to the AI economy?
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