What does your review process catch before AI-generated UI reaches production?

AI can now generate a convincing interface faster than most teams can properly review it.

The obvious problems are easy to catch: broken layout, inconsistent spacing, missing responsive states.

The harder problems sit underneath the screen:

* the generated flow assumes a product decision nobody made
* empty, loading, failure and permission states are missing
* the same component behaves differently across pages
* an action has no clear system response
* the UI looks complete but cannot be handed to development without explanation

I have started reviewing AI-generated UI in three passes:

**Visual consistency** \- does it follow the existing component, spacing and motion rules?
**Product behaviour** \- are triggers, actions, system responses and next states clear?
**Failure handling** \- what happens outside the happy path?

This catches much more than asking whether the generated screen looks good.

For teams already shipping AI-generated UI, what is in your review checklist before it reaches production? And which failures still slip through most often?

submitted by /u/T07NAD0
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