Best fit
An AI-generated interface works in its happy path but still has unfinished states, responsive defects, weak interaction feedback, and launch-blocking visual roughness.
// Web & App UI Design
AI UI Finish Loop
Find and finish the UI states AI-built apps commonly miss, then verify the smallest launch-ready patch across mobile and desktop.
What problem does AI UI Finish Loop solve?
An AI-generated interface works in its happy path but still has unfinished states, responsive defects, weak interaction feedback, and launch-blocking visual roughness.
Use it to
- Finish missing loading, empty, error, disabled, and expired-session states before launch
- Repair responsive overflow, hidden actions, and weak mobile layouts in an AI-built frontend
- Verify keyboard, focus, reduced-motion, and destructive-action behavior
- Produce comparable before-and-after interface evidence from a stable fixture
What it returns
- Route and component defect inventory
- Loading, empty, error, disabled, expired-session, destructive-action, keyboard, motion, mobile, and desktop state matrix
- Prioritized minimal patch plan or approved source patch
- Before-and-after verification sheet
A representative input and result
input Project: React dashboard
Routes: /dashboard, /projects/:id, /settings
Viewports: 375, 768, 1440
Constraint: preserve current colors and information architecture
Known issue: the dashboard looks finished only after data loads
result Priority 1: /dashboard has no loading shell, empty-state action, or retry path.
Priority 2: project deletion exposes a destructive button without confirmation or pending state.
Mobile: settings actions overflow at 375px.
Patch plan: add route-level pending/error/empty states, a bounded confirmation dialog, and wrapping action layout.
Verification: recheck keyboard focus, reduced motion, 375/768/1440 screenshots, and slow-network behavior.
Access and approval boundaries
- Read access to the supplied repository, routes, screenshots, and brand constraints.
- Optional local browser access for viewport and interaction verification.
- Source writes, dependency installation, and deployment require separate approval.
Known limitations
- It cannot verify authenticated, paid, or destructive flows without safe test access and explicit authorization.
- Visual finishing includes judgment; the skill records evidence and constraints but does not replace owner approval of brand choices.
- A verified local state does not prove an untested production environment or third-party service will behave identically.
// choose with context
Is AI UI Finish Loop the right skill?
It returns
Route and component defect inventory. Loading, empty, error, disabled, expired-session, destructive-action, keyboard, motion, mobile, and desktop state matrix.
Do not use it as
It does not invent a new brand or redesign a product from scratch.
Compatibility, access, version, and licence
- Reads or accesses
- Declared local scope: src/**, app/**, pages/**, components/**.
- Compatibility
- HTML, CSS, and JavaScript interfaces. React, Next.js, and Vite projects when source and supported local commands are available. Agents that can inspect files and, when authorized, use a browser and edit source.
- Version
- 1.0.1
- Licence
- Review the package licence and seller terms at the linked destination.
Questions
What does AI UI Finish Loop inspect?
It inspects representative routes and components for missing states, interaction feedback, responsive defects, keyboard behavior, reduced motion, and visual inconsistencies that affect launch readiness.
Is this a complete redesign?
No. It preserves the product's existing direction and proposes the smallest changes needed to complete observable states.
Can it edit my frontend?
It can prepare or apply a bounded patch when the environment supports it, but source writes and dependency changes remain behind approval.
Does it test mobile layouts?
Yes. The workflow records target viewports and checks overflow, tap targets, content order, action placement, and state behavior at those sizes.
Will it test a live checkout or destructive action?
Not by default. Those flows require a safe test environment, suitable accounts, and explicit authorization.
What proof does it return?
It returns an evidence-linked defect inventory, state matrix, patch or patch plan, verification results, and a before-and-after sheet made from the tested interface.
AI UI Finish Loop keeps proof and approval boundaries visible.
The listing includes the tested package, realistic samples, declared permissions, and known limitations.
Get AI UI Finish Loop on Agensi