Do Not Overload Your First AI-Built Workbench
Define one real user, one frequent moment, and one testable result before asking AI to build the app.
The first request for an AI-built app often contains a dozen features: plans, reminders, analytics, chat, a knowledge base, summaries, and recommendations.
More features rarely make the first result more useful. They usually make the interface crowded and the daily action unclear.
Start with one real moment
A strong first requirement answers three questions:
- Who uses it?
- At what specific moment do they open it?
- What action should become easier?
For civil-service exam study, version one might solve this: “Every evening, I open the workbench, choose tomorrow's three priorities, and record today's practice result.”
That is easier to build, inspect, and revise than “make an all-in-one learning platform.”
Make every function testable
“Make it smarter” is not testable. Useful requirements have observable outcomes:
- Enter 20 attempted and 15 correct; show 75%.
- Add a task and keep it after refresh.
- Show a mistake on the overview when its review date arrives.
Test these examples after the build. When one fails, describe and fix that issue without redesigning everything else.
The first version is a stable starting point for continued conversation. Learning to define and verify the result matters more than memorizing one fixed template.