Tried Lovable last week for a small client portal. Demo out in an afternoon, first build looked solid. needed two user types with different permissions, plus a database where each person only sees their own stuff. that is where I stopped trusting the demo and started testing what the app actually returned, not just what the screen showed. I'm non-technical, so hand-wiring Supabase is rough. not impossible, just the kind of rough where one wrong assumption turns into a data leak later. ive been looking at Enter because the docs talk about auth, database, functions, source export, and other post-demo pieces sitting closer to the builder. not calling it solved. i mostly want to see whether the user-data safety checks are easier to inspect before I ship anything. don't have a week to hand-wire Supabase from scratch. if you actually shipped this on an AI builder, what was the path?
Choice_Volume4090 is exploring AI builders for a client portal and is concerned about the ease of inspecting auth and permissions. They found Lovable easy to use but are cautious about data safety. They are considering Enter for its documentation on auth and database features. The user seeks advice on whether AI builders can simplify user-data safety checks compared to hand-wiring Supabase.
the backend-permissions question is a real genre on this sub now lol
how many users do you actually need on day one? if its <10 you can probably get away with google sign-in + a single role and keep the data model simple until v2. real auth complexity usually shows up once different orgs and shared records enter the picture
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