Starting a screen from a blank canvas often means searching for examples, opening several unrelated pages, then trying to translate what you saw into instructions a coding tool can use. The gap is not just finding something attractive. It is explaining its layout, type and visual structure without copying the original product wholesale.
UI Discovery is built around that handoff. It presents a curated library of production interface references, with ways to browse, inspect and turn a selected example into an original build prompt for tools such as Cursor or Claude. It is a research aid for a designer or developer, not a tool that builds and ships the interface for them.
From browsing to a usable brief
The starting point is a searchable catalogue. You can browse by interface type, including websites, web apps, dashboards, mobile screens and individual page sections. The landing page also describes collections organized around design trends and user journeys, such as onboarding, activation and dashboards. That gives a reader more than one route in: start with a product category, a screen type or a moment in a user flow.
Once a reference catches your eye, the next step is inspection. For website and web-app entries, UI Discovery says it provides captured screenshots and, where available, extracted palettes, fonts and text. The point is to turn a visual impression into concrete inputs. Instead of telling an AI coding tool only to make something “like” a particular product, the prompt can describe the layout, palette, typography, the content you supply and the interface states you need.
That prompt is a brief, not a finished implementation. The connected coding tool generates the code, and its output still needs review and testing. UI Discovery provides context for that work; it does not remove the need to judge whether the result behaves correctly or suits the product being built.
A library, not a source of design assets
A key distinction is between using a design as a reference and having the right to reuse its materials. The page says captured designs belong to their respective owners and are provided for reference and inspiration. Its original prompts are intended to describe structure, palette and type while asking for original copy and placeholder brand assets.
That makes the product more useful for studying patterns than for lifting a finished screen. A developer can look at how a pricing section is organized, for example, then ask a coding tool to produce a new version with their own content. But the library is not presented as a store of licensed interface assets, nor does the prompt make an imitation automatically appropriate to publish.
The quality of the reference also depends on what is available for that entry. Mobile listings can vary: some have App Store images, while others contain reviewed in-app screens or recordings. The page cautions that machine-read text is not a verified screen name. If precise screen-level evidence matters, a catalogue entry may need checking rather than taking its labels as authoritative.
Connecting it to an AI workflow
The simplest described workflow is to browse the library, inspect a reference and copy its prompt into a coding assistant. UI Discovery also describes connecting through MCP, which lets supported clients access tools after the user adds the hosted server and authorizes an account. It lists an API for reference search and visual metadata as well. These routes are for people who want to bring discovery closer to their existing design or engineering process, not a requirement for basic browsing.
There is a free plan with a paid upgrade. Some prompt, image-plan, starter-code and API or MCP build functions require Pro, while the AI coding tool itself may have separate subscriptions and usage limits. That separation matters: UI Discovery can supply reference material and instructions, but it does not include the entire downstream AI workflow.
It runs on the web. That keeps the product focused on browser-based discovery and connected tools, but it is not a native desktop design application. Teams looking for a canvas for drawing, editing or collaboratively producing final UI assets should not mistake a reference catalogue for that kind of workspace.
Who should use it
UI Discovery makes the most sense for product designers and engineers who regularly need examples before building a screen, and who already use an AI coding tool or are willing to review its output. Its practical value is the path from visual reference to a more specific build brief, with some visual details surfaced along the way.
It is a poor fit for someone who expects finished production code, reusable licensed screenshots, or a complete design editor. It also asks users to do the important last mile themselves: choose an appropriate reference, supply their own content, and check what the coding tool makes. For people who need help getting from “show me a pattern” to “describe this clearly,” that is the problem it addresses.
Discover real-world UI references with AI build prompts.