The Gap Between "Works" and "Production Ready" When You Build with AI You've built something in Lovable. It works. Your test users like it. Now you need to ship it somewhere that doesn't evaporate when the builder changes their pricing model. Here's where most founders hit a wall. AI builders are optimized for iteration speed, not infrastructure ownership. They handle the UI layer beautifully. But the moment you need real production guarantees, you're working against the platform's constraints, not with them. Let me be specific about what breaks: Your database lives on their servers. You can export the code, but your data stays locked in their proprietary schema. If you want to migrate to Postgres, Supabase, or your own infrastructure, you're rebuilding queries and rethinking your data model. That's not a migration, that's a rewrite. There's no deployment history. No rollback mechanism. No CI/CD pipeline.…