The prototype-to-production gap in AI-built apps

If you've built an app with AI tools, you've seen how fast it goes: a working prototype in days. Then you hit a wall. Auth breaks in edge cases. The database schema fights every new feature. The app store rejects the build. That wall is the gap between a prototype and a product, and everyone hits it.

What the last 20% actually contains

• Security: the auth flows, secrets handling, and input validation that demos skip.
• Data: schemas that survive change, migrations, backups.
• Scale and cost: what happens at 1,000 users, and what your cloud bill does.
• Distribution: app store review, monitoring, crash reporting, updates.

The good news: none of this requires starting over. A disciplined assessment usually finds a keepable core. The skill is knowing which parts to harden, which to replace, and in what order, which is exactly the shape of our AI Rescue engagements.