What is the way of enforcing business rules in AI?
I challenged myself to create a custom dashboard for managing e-commerce affiliate links using an AI coding assistant and Supabase. The custom dashboard was live by Monday and custom dashboard logged outbound clicks across my Amazon, AliExpress and Daraz campaigns.
I spent the two weeks obsessing over load times mobile responsiveness and UI polish. Yesterday I finally sat down to analyze the data and realized I never implemented a way to track the conversion fall‑off between a user clicking custom link and the marketplace successfully registering the referral session. I was tracking a pure vanity raw outbound clicks while completely ignoring the funnel leakage.
Has anyone else fallen into the trap of over‑polishing an AI‑generated MVPs UI while neglecting the core business logic? What is your process, for stepping and validating that the right data is being captured before calling a launch successful?
Replies
The main lesson for me is that AI can build the dashboard but it cannot replace the business logic behind what should actually be measured
I did validate the key metrics and user journey first then use AI to speed up the implementation rather than polishing the wrong thing