I’ve been thinking about why so many AI-assisted builds look impressive at first but fall apart later.

The issue usually isn’t the first screen.
It’s the system behind it.

AI can generate UI, routes, APIs, and even logic quickly. But once real users, edge cases, data flow, auth, permissions, errors, scaling, and maintainability enter the picture, the cracks start showing.

That makes me wonder: Are AI-assisted builds failing because the tools are weak? Or because we’re using them without enough system-level thinking?

I recently wrote about why most AI-assisted builds collapse at the systems level and how the real problems usually begin after the prototype phase.

Curious to hear from others here: Have you used AI to build something beyond a prototype?