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

If you've built an app with AI tools, you've felt the magic: a working prototype in days. And then — a wall. Auth breaks in edge cases. The database schema fights every new feature. The app store rejects the build. This isn't your failure; it's the gap between a prototype and a product.

What the last 20% actually contains

• Security: auth flows, secrets handling, input validation — the things 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.