AI-built Expo app? What still needs to happen before App Store submission
A launch-readiness checklist for founders who built an Expo or React Native app with AI tools and now need authentication, payments, analytics, and App Store submission.
An AI tool can help you build an Expo app fast. It can generate screens, routes, components, forms, and a convincing first demo.
But App Store submission exposes everything the demo did not prove.
If your app was built with Cursor, Lovable, Bolt, Replit, or another AI-assisted workflow, this checklist shows what still needs to happen before you can treat it as a launch-ready mobile product.
1. Confirm the Expo foundation is healthy
Before you polish screens, make sure the app is not sitting on a broken foundation.
Check:
Expo SDK version is current enough for your target launch
React Native version matches the Expo SDK
native dependencies are compatible
EAS build works
iOS build works on device
permissions are configured intentionally
no web-only package is used in a native-only flow
package lockfile is clean
AI tools sometimes install packages until the error disappears. That does not mean the foundation is healthy. If the AI downgraded Expo or forced incompatible packages together, fix that before touching product polish.
2. Lock the product scope
AI-generated apps often have too many half-built features.
Before App Store work, define the v1:
one target user
one core AI workflow
one paid promise
one onboarding path
one monetization model
one primary success metric
Everything else is optional.
The biggest launch mistake is trying to rescue every screen the AI generated. Some of those screens are not product. They are debris.
3. Make authentication production-ready
Auth has to work beyond the happy path.
Checklist:
sign up
login
logout
session restore
password reset or magic link flow
protected routes
account deletion
user profile state
onboarding completion state
paid entitlement state
Test this on device, not just in preview.
If auth is tangled with screen state, fix it before launch. Broken auth creates support issues, App Store review risk, and user trust problems.
4. Wire the paywall as a system, not a screen
For subscription apps, the paywall is business infrastructure.
You need:
RevenueCat, StoreKit, Google Play Billing, or Stripe configured correctly
products fetched from the store
restore purchases
trial eligibility handling
expired subscription handling
entitlement checks
purchase success state
purchase error state
analytics events for paywall view, trial start, purchase, restore, and cancel signals
AI tools often generate a beautiful paywall that does not control access. That is not monetization. That is a mockup.
5. Add analytics before users arrive
Do not wait until after launch to add analytics.
Minimum event model:
app opened
onboarding started
onboarding completed
account created
core AI action started
core AI action succeeded
core AI action failed
paywall viewed
trial started
purchase completed
restore purchases tapped
subscription status changed
Analytics should tell you whether the app is working as a business. If users drop, you need to know where. If the AI workflow is expensive, you need to know how often it runs.
6. Add crash reporting and error visibility
If the app breaks after launch and you cannot see why, you are guessing.
Add:
crash reporting
API error logging
AI provider failure logging
payment error logging
build version tracking
device and platform metadata
This does not have to be complex. It just has to exist before real users arrive.
7. Clean the navigation and state model
AI-built apps often make navigation decisions inside random components. That becomes painful when auth, onboarding, and paid access arrive.
Your navigation should clearly answer:
What does a logged-out user see?
What does a logged-in but not-onboarded user see?
What does a free user see?
What does a paid user see?
What happens after purchase?
What happens after logout?
If these answers are scattered across the app, the user experience will break.
8. Prepare App Store requirements early
App Store submission needs more than a binary.
Prepare:
app name
subtitle
description
keywords
screenshots
app icon
privacy policy
terms of service
support URL
account deletion flow
subscription disclosure
age rating answers
data collection answers
permission usage explanations
If your app uses AI, be careful with claims. Do not overpromise accuracy, diagnosis, financial advice, or professional outcomes unless the product is designed and reviewed for that category.
9. Test the real device flow
Simulator and preview testing are not enough.
Before submission, test:
fresh install
slow network
denied permissions
invalid input
failed AI response
failed purchase
restore purchases
logout and login
app kill and reopen
subscription status changes
AI-generated apps often pass the perfect path and fail the second path. App Store review and early users will find the second path fast.
10. Decide whether to rescue or rebuild
If the app is close, rescue it.
If the foundations are wrong, rebuild the critical path.
Do not spend 4 weeks fighting a codebase that should have been replaced in week one. The purpose of a rescue is not to preserve every generated file. The purpose is to launch a stable product.
How Silpho helps
Silpho's AI App Rescue track is built for this exact gap.
We review AI-built React Native and Expo apps, decide whether the code should be fixed or rebuilt, then turn the product into something launchable:
stable auth and onboarding
paywall and subscriptions
analytics and crash reporting
launch assets
App Store submission support
repo and infrastructure handoff
4-week bug shield
The first step is the $499 Rescue Audit. It gives you a concrete answer: fix, rebuild, or abandon.