A@creator
AI UI & Interface Prompts
Image models have become genuinely useful for interface visuals: mobile app screens, SaaS dashboards, website hero sections, onboarding flows, settings panels, chat interfaces and fake-but-plausible social screenshots. This collection gathers the prompts behind those images, each with its model label and its public source, so you can produce a concept screen in seconds instead of opening a design file for an idea you may throw away.
Interface prompts behave differently from photography prompts. What matters is not lighting but hierarchy: how many panels, what sits in the header, where the primary action lives, how dense the data is, and what the type scale looks like. The prompts collected here name those things explicitly, which is why they produce screens that read as real products rather than abstract glowing UI art. Modern models such as GPT Image 2 and Nano Banana Pro can also render short label text legibly, so button and nav copy can be quoted directly in the prompt.
Treat the output as a high-fidelity mockup, not as production design. It is ideal for pitch decks, app store concept art, landing page screenshots, portfolio pieces and early direction-setting with stakeholders. Copy a prompt from this page, replace the product name and the domain language, keep the layout instructions, and you get a coherent set of screens that all look like the same app. If you need a whole flow, run the same style block across several screen descriptions rather than asking for a multi-screen image, which is where models start duplicating components and mangling the smaller labels.
A prompt structure that produces believable screens
Describe the interface the way a designer briefs one: platform first, then layout, then content, then style.
- Platform and frame: iOS app screen, Android app, responsive web app, desktop dashboard, or browser window.
- Layout: sidebar plus content area, top nav, card grid, list view, split panel, or a single centered form.
- Content: name the real widgets — metric tiles, line chart, table rows, avatar list, search field, primary button.
- Style: light or dark theme, accent color, corner radius, spacing density, and the type treatment.
Getting text and data to look right
The two failure modes are garbled label text and nonsense data. Quote the short strings you need — nav items, the headline, the primary button — and keep them under a few words each. For charts and tables, describe the shape of the data ("upward trend, four columns, seven rows") instead of asking for specific numbers, then treat any figures the model invents as placeholder. Ask for a mobile frame or browser chrome explicitly when you want the screenshot to sit in a device.
Frequently asked questions
- Can AI image models design a real app interface?
- They produce convincing mockups, not implementable design systems. Spacing, states, accessibility and component consistency still need a designer or a code implementation. Use these prompts for concept screens, pitch visuals and direction-setting, then rebuild the chosen direction properly.
- Which model is best for UI and dashboard prompts?
- GPT Image 2 and Nano Banana Pro lead here because they keep short interface text legible and respect layout instructions. Midjourney gives more striking visual direction but tends to invent decorative, unreadable labels. Every example on this page shows the model badge it was generated with.
- How do I get a consistent set of screens for one app?
- Fix the style block — theme, accent color, radius, type, density — and change only the screen description between prompts. Where the model accepts a reference image, feed the first approved screen back in so the second one inherits the same visual language.