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.
Find and finish the UI states AI-built apps commonly miss, then verify the smallest launch-ready patch across mobile and desktop.
Format: Agent skill, not a browser app. You need an AI agent that can load its instructions and use the required tools.
Package requirements: 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.
You get: Route and component defect inventory Loading, empty, error, disabled, expired-session, destructive-action, keyboard, motion, mobile, and desktop state matrix
Review the package licence at the destination.
Review the offer and access method at your chosen marketplace. Agensi provides connected-agent access, not a download. Buying a skill does not include an AI-agent subscription or setup service.
An AI-generated interface works in its happy path but still has unfinished states, responsive defects, weak interaction feedback, and launch-blocking visual roughness.
An AI-generated interface works in its happy path but still has unfinished states, responsive defects, weak interaction feedback, and launch-blocking visual roughness.
Route and component defect inventory. Loading, empty, error, disabled, expired-session, destructive-action, keyboard, motion, mobile, and desktop state matrix.
It does not invent a new brand or redesign a product from scratch.
It inspects representative routes and components for missing states, interaction feedback, responsive defects, keyboard behavior, reduced motion, and visual inconsistencies that affect launch readiness.
No. It preserves the product's existing direction and proposes the smallest changes needed to complete observable states.
It can prepare or apply a bounded patch when the environment supports it, but source writes and dependency changes remain behind approval.
Yes. The workflow records target viewports and checks overflow, tap targets, content order, action placement, and state behavior at those sizes.
Not by default. Those flows require a safe test environment, suitable accounts, and explicit authorization.
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.
The listing includes the tested package, realistic samples, declared permissions, and known limitations.
Get AI UI Finish Loop on Agensi