The AI app launch playbook

The nine stages of an AI app launch

Validate → harden → auth → monetize → store metadata → privacy & legal → analytics & support → submit & iterate → grow. Each stage produces concrete artifacts, not just intent. If you cannot point to a file, screenshot, or config value that came out of a stage, that stage is not done.

Stage 1: Validate the idea, not the code

Before you spend a week hardening: does the app actually solve a real problem for a specific person? ShipForge Idea Validator scores your concept on demand, differentiation, monetization path, and defensibility. If validation fails, iterate on the idea before you invest in launch prep.

Stage 2: Harden the AI-generated code

Remove hardcoded secrets. Move every API key to environment variables. Set up a real dependency lockfile. Turn on strict mode. Add a linter. Every AI code assistant leaves the same class of production gaps; the ShipForge Launch Doctor scanner flags the specific patterns and, in a paid review, automated quality gates prioritize the fixes.

Stage 3: Add real authentication

Anonymous sessions are fine for demos. Real customers need real accounts with a real recovery path. Choose Supabase Auth or Firebase Auth; both are covered by the ShipForge Flutter production starters, both include account deletion (required by App Store Guideline 5.1.1(v)).

Stage 4: Wire monetization

For subscriptions or one-time purchases, use RevenueCat. It abstracts App Store and Google Play billing, handles restore, provides analytics, and is free below the revenue threshold. ShipForge reviews your monetization setup and points out gaps; it does not generate the paywall UI or subscription code for you today.

Stage 5: Complete store metadata

Title, subtitle, description, keywords, category, age rating, privacy label, screenshots at every required resolution, preview video. Missing any one of these can hold a submission. A Launch Doctor Review checks each and flags what is missing or weak; it does not auto-generate the final assets today.

Stage 6: Pass privacy and legal

PrivacyInfo.xcprivacy for iOS, Data Safety declarations for Play, in-app account deletion, a real privacy policy, cookie consent if you have any web surface. Every AI-built app fails here by default because the AI does not know what data your app actually collects.

Stage 7: Analytics and support

PostHog or equivalent for product analytics, Sentry or equivalent for crash reporting, a real support channel (email or in-app). Apple rejects apps without a working support URL.

Stage 8: Submit and iterate through review

Prepare a review note explaining anything non-obvious. Include a demo account if the app is behind login. Respond to rejections quickly and specifically. Most first-submission rejections are one round of fixes away from approval.

Stage 9: Grow

Post-launch is a different discipline: paywall optimization, funnel analysis, retention experiments, review response. ShipForge Growth Center produces weekly evidence-based improvement plans grounded in your app's real installs, subscriptions, and reviews.

Frequently asked

How long does an AI app launch actually take?

For a working AI prototype, budget 2-6 weeks to reach a real submission. Most of that time is store metadata, privacy compliance, and monetization plumbing — the AI already wrote the app.

Do I need to disclose that my app was AI-built?

Neither Apple nor Google requires you to declare a codebase as AI-generated. They do require you to comply with their content and functionality guidelines regardless of authorship.

Can Apple reject an app just for looking AI-generated?

Apple can reject under Guideline 4.3 (spam) if the app is a thin wrapper around a chatbot or template. A real product with real functionality is fine.