Solved by UI Discovery: Curated UI References and Build Prompts for AI Coding Tools
This feature helps users convert a UI reference into a clear, structured prompt they can paste into Cursor or Claude. It reduces ambiguity and ensures the model receives the right context, constraints, and desired output format.
This feature guides users in turning a UI reference (such as a screenshot, design mock, or existing interface) into a precise, actionable prompt for Cursor or Claude. It helps users identify the key elements of the interface—layout, components, interactions, states, and constraints—and express them in language an AI model can follow. The feature encourages adding essential context like target platform, tech stack, accessibility expectations, and responsive behavior. It provides a structured prompt format so users can specify what to build, what to match, and what can be left flexible. It also helps users describe edge cases like loading, empty, error, and validation states to avoid incomplete outputs. By clarifying assumptions and defining acceptance criteria, it improves the consistency and usability of generated code or UI instructions. Users can apply it when recreating a UI from a reference, iterating on an existing design, or asking for a component-by-component implementation plan. The result is a prompt that is easier to understand, more complete, and more likely to produce correct, production-ready output. It is especially useful for users who are not sure what details matter most when describing a UI to an AI assistant.
External Resource
https://uidiscovery.com/
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