AI-generated React Native paywalls need RevenueCat logic, not just UI
A paywall generated by AI may look finished, but RevenueCat, entitlement checks, restore purchases, analytics, and error states make it launch-ready.
AI tools are good at generating paywall screens.
They can create a nice layout, pricing cards, a trial button, feature bullets, and a close icon. That looks like monetization, but it is usually only UI.
A real React Native paywall needs purchase infrastructure. For most subscription apps, that means RevenueCat or an equivalent system, entitlement checks, restore purchases, analytics, and handling for every failure state.
The screen is not the system
A launch-ready paywall answers five questions:
What products are available?
Can this user start a trial?
Did the purchase succeed?
Is this user entitled to the paid feature?
What happens when the app restarts?
Most AI-generated paywalls only answer the visual question: what should the screen look like?
What RevenueCat adds
RevenueCat helps manage the subscription layer across stores.
In a React Native app, it can support:
product fetching
purchase flow
restore purchases
customer info
entitlement status
subscription status
cross-platform subscription logic
webhooks and integrations, if needed
The important word is "status." Your app needs to know whether the user is paid, trialing, expired, or unknown.
Entitlements should control access
If the user can close the paywall and still use the paid feature, the app does not have monetization.
The paid feature should check entitlement, not local button state.
That means:
paywall opens when access is blocked
purchase updates customer info
entitlement refreshes after restore
expired users lose access gracefully
offline state is handled intentionally
app restart does not forget paid status
Analytics must be part of the paywall
Track the funnel:
paywall viewed
product loaded
trial button tapped
purchase started
purchase completed
purchase failed
restore tapped
restore successful
close tapped
paid feature accessed
Without those events, you cannot tell whether pricing, copy, onboarding, or technical reliability is the problem.
Common AI-generated paywall bugs
Watch for:
hardcoded product prices
fake trial claims
purchase button with no store product
no restore purchases
no loading state while products fetch
no purchase error state
no entitlement check outside the paywall
no test sandbox plan
no App Store subscription disclosure
These problems can create failed review, broken revenue, or angry users.
What Silpho fixes
In AI App Rescue, Silpho audits the paywall as part of the full launch path: onboarding, auth, subscription products, entitlement logic, analytics, App Store copy, and launch strategy.
If the rest of the codebase is salvageable, we fix the paywall system. If the app is too tangled, we rebuild the critical path with subscriptions and analytics built in.
Related:
FAQ
Can AI build a RevenueCat paywall?
AI can help write pieces of the implementation, but you still need correct product configuration, entitlement logic, restore purchases, analytics, error states, and App Store compliance.
Is Stripe enough for mobile subscriptions?
For many consumer mobile apps, native in-app purchase rules matter. RevenueCat is often the cleaner path for App Store and Google Play subscriptions, while Stripe can fit web-first or B2B use cases.