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AI demos are cheap. The first real user is expensive. Scan the failure scenarios, choose the one that feels uncomfortably possible, then run the right preflight check.
Use this like a launch smoke test
The point is not paranoia. It is choosing one failure mode, proving the final state, and fixing the smallest thing before a real customer finds it for you.
Sticky little lab
Click once, get one uncomfortable launch question. Good for founders, vibe coders, and anyone about to post “launched today.”
12 launch failure cards
Checkout succeeds, the receipt exists, but the account still thinks the user is free.
A retry creates extra credits, duplicate seats, or a second invoice-side effect.
The user cancels or payment fails, but premium access survives because the UI flag never changed.
The UI hides other users, but a direct query, storage path, or server route leaks private data.
A secret meant for the server is bundled, logged, or exposed through a client path.
The model gives a confident answer when retrieval is empty, stale, or weak.
A malicious file or pasted note tells the AI to ignore instructions, reveal private context, or fabricate certainty.
Support cannot inspect payment, entitlement, workspace, and AI output state in one place.
The file exists in storage, but the app has no durable row, owner, status, or recovery path.
The happy path works, but expired links, wrong device, and logged-in/logged-out transitions break recovery.
Seeded data hides missing empty states, first-run permissions, and real-user setup steps.
The founder keeps adding features because no single paid flow has been chosen.
If you want a worksheet
Turn the scary scenario into one written flow, one evidence ledger, and a launch decision.
Get the checklistIf money state is risky
Use it for checkout, webhooks, duplicate events, cancellation, refunds, and entitlement.
Open Stripe checkerIf privacy is risky
Use it for user isolation, org/team boundaries, storage exposure, and service-role risk.
Open Supabase checkerIf AI answers are risky
Use it for citations, private context, retrieval gaps, prompt injection, and uncertainty states.
Open AI output checkerIf you need a buyer offer
Use it when the app is too broad and you need one narrow paid promise before overbuilding.
Open offer generatorWhen the card is too close to home
The $99 preflight is for one launch-critical flow: what is proven, what is assumed, what could break trust, and what to fix first.