Adding AI to a product is easy to demo and hard to do well. Users forgive a feature that is occasionally wrong if it is honest about its limits, and they abandon one that confidently misleads them. The teams that win treat AI as a scoped tool, not a marketing line.
Solve a real problem
Start from a task your users already struggle with: summarising long threads, drafting a first reply, finding the right document. If you cannot name the task and the time it saves, the feature is not ready to build.
Keep the human in control
- Let users review and edit output before it takes any real action.
- Show where an answer came from so people can verify it.
- Make it obvious when content is AI generated.
Scope tightly, then expand
Ship a narrow feature that does one thing reliably before promising a general assistant. A focused, well-tested feature is far easier to support than a broad one that behaves unpredictably.
Trust is built in small, boring moments: a clear citation, an easy undo, an honest 'I am not sure'.
Abishek Bimali
Founder & Engineer
Abishek founded SiteCraft Innovation and leads its engineering. He writes about building web and mobile products that hold up in production, for teams in Nepal and abroad.
