AI App UI Design Examples
Browse real AI app UI designs from Cursor, Lovable, HeyGen, ElevenLabs, Runway, Suno, ChatGPT, Claude, Perplexity, v0, and 30+ AI products. Study prompt interfaces, chat UIs, generation controls, progress indicators, and output previews from shipped AI applications. These AI UI examples show how leading teams design interfaces for code generation, image creation, video editing, voice synthesis, and conversational AI.
All AI App UI Examples
385 real AI app UI design screenshots from 19 products — prompts, generation controls, chat interfaces, and output previews.
Appse AI
Login screen
Appse AI
Dashboard view
Appse AI
gallery
Appse AI
Editor UI
Appse AI
Empty state
Appse AI
Editor UI
Appse AI
Editor UI
Appse AI
Editor UI
Appse AI
Editor UI
Appse AI
Editor UI
Appse AI
Editor UI
Appse AI
Other
Appse AI
Landing page
Appse AI
Other
Appse AI
Other
Appse AI
Empty state
ChatGPT
Login screen
ChatGPT
Signup form
ChatGPT
Signup form
ChatGPT
Onboarding flow
ChatGPT
Login screen
ChatGPT
Chat interface
ChatGPT
Chat interface
ChatGPT
Chat interface
ChatGPT
Chat interface
ChatGPT
Chat interface
ChatGPT
Pricing page
ChatGPT
Modal dialog
ChatGPT
Billing page
ChatGPT
Modal dialog
ChatGPT
Modal dialog
ChatGPT
Modal dialog
ChatGPT
Chat interface
ChatGPT
Modal dialog
ChatGPT
Chat interface
ChatGPT
Modal dialog
ChatGPT
Modal dialog
ChatGPT
Settings panel
ChatGPT
Modal dialog
ChatGPT
Modal dialog
ChatGPT
Chat interface
Claude
Landing page
Claude
Pricing page
Claude
Signup form
Claude
Landing page
Claude
Landing page
Claude
Dashboard view
Claude
Modal dialog
Claude
Navigation UI
Claude
Dashboard view
Claude
Chat interface
Claude
Editor UI
Claude
Modal dialog
Claude
Settings panel
Claude
Settings panel
Claude
Settings panel
Claude
Analytics view
Claude
Integrations
Claude
Billing page
Cursor
Landing page
Featured AI Products
Explore AI app UI designs from these hand-picked products. Each showcases a unique approach to prompt interfaces, generation controls, and AI output handling.
Appse AI
Artificial Intelligence
Pattern worth stealing: Intuitive AI interface design
ChatGPT
Chat Bot
Pattern worth stealing: Clean chat UI with prompt starters
Claude
Artificial Intelligence
Pattern worth stealing: Long-context conversations with artifacts
Cursor
Artificial Intelligence
Pattern worth stealing: Inline code generation with diff views
ElevenLabs
Artificial Intelligence
Pattern worth stealing: Intuitive AI interface design
Gamma
Artificial Intelligence
Pattern worth stealing: Intuitive AI interface design
Groq Cloud
Artificial Intelligence
Pattern worth stealing: Intuitive AI interface design
HeyGen
Artificial Intelligence
Pattern worth stealing: Avatar customization and video preview
Ideogram
Artificial Intelligence
Pattern worth stealing: Intuitive AI interface design
AI App UI Design Checklist
Use this checklist when designing or evaluating an AI app interface. These principles come from studying top AI app designs like Cursor, ChatGPT, Runway, and HeyGen.
Make inputs clear and discoverable
Use a prominent prompt box with example prompts or templates. Surface advanced parameters progressively. ChatGPT shows prompt starters. Midjourney uses slash commands. Make it obvious what the AI needs from users.
Show progress transparently
Display what the AI is doing right now. Cursor shows which files it’s reading. Runway shows generation progress with time estimates. Transparency builds trust and manages expectations during long generations.
Make iteration effortless
Provide regenerate, refine, and variation options. Keep generation history visible. Cursor shows diffs for accept/reject. Midjourney supports upscaling and variations. Good AI tools feel collaborative, not one-shot.
Preview outputs immediately
Show generated content as soon as possible. HeyGen previews frames during generation. v0 streams code as it writes. Lovable shows live previews. Immediate feedback helps users iterate faster.
Balance control with simplicity
Beginners should get good results with simple prompts. Power users should have access to advanced parameters. Hide complexity behind progressive disclosure. Runway uses simple prompts with optional style controls.
Handle errors gracefully
AI generations fail sometimes. Show clear error messages with suggestions to fix. Offer retry or fallback options. ChatGPT explains why a generation failed and suggests prompt improvements. Don’t just show a generic error.
Frequently Asked Questions
What makes a good AI app UI design?
A good AI app UI design balances transparency with simplicity. The best designs show what the AI is doing without overwhelming users, provide clear input methods (prompts, parameters, uploads), and make outputs immediately usable. Cursor shows inline diffs and file trees for code generation. Runway uses a timeline for video editing. HeyGen emphasizes preview and iteration. Good AI interfaces manage expectations, show progress transparently, and make it easy to iterate on results.
How should AI generation interfaces be designed?
AI generation interfaces should prioritize three things: clear inputs (prompts, settings, references), transparent progress (what the AI is doing right now), and easy iteration (regenerate, refine, adjust). Midjourney uses a simple prompt box with parameter sliders. Runway shows a timeline for video generation. Suno emphasizes lyric and style inputs for music. The best designs balance creative control with simplicity — beginners get good results fast, power users can fine-tune everything.
What are the best AI app UI design examples?
Top AI app UI examples include Cursor for its inline code generation and diff views, ChatGPT for its clean chat interface with artifacts, Claude for long-context conversations, Perplexity for citation-based search, v0 for live code preview, Runway for timeline-based video editing, Midjourney for Discord-native generation, HeyGen for avatar customization, ElevenLabs for voice preview and cloning, and Gamma for AI-powered slide generation. Each excels in different areas: Cursor for transparency, ChatGPT for conversation, Runway for creative tools, HeyGen for iteration.
How do you design prompt inputs for AI apps?
Prompt inputs should feel like natural conversation but support power-user features. Start with a simple text box, add example prompts or templates, and surface advanced parameters progressively. ChatGPT uses a minimal input with prompt starters. Midjourney supports slash commands and parameters inline. Runway separates prompt from style controls. Best practices: placeholder text with examples, auto-expand for longer prompts, history or favorites for reuse, and syntax highlighting for parameters or commands.
Should AI apps show progress and intermediate steps?
Yes. Showing progress builds trust and manages expectations. Runway shows a progress bar with time estimates. Cursor displays which files it's reading and editing. Lovable streams code as it's generated. HeyGen previews frames during video generation. The best AI apps balance transparency with performance: show major steps (reading, analyzing, generating, rendering) without overwhelming users with too much detail. Use skeleton loaders, progress bars, or streaming output to keep users engaged during long generations.
How do AI apps handle iteration and refinement?
AI apps should make iteration effortless. ChatGPT lets you regenerate responses with one click. Midjourney supports upscaling and variations. Cursor shows diffs so you can accept or reject changes. Runway offers timeline scrubbing and re-generation from any frame. Best practices: keep generation history visible, allow parameter tweaks without starting over, support branching (try multiple variations), and make undo/redo obvious. Good AI tools feel like a creative partner, not a one-shot vending machine.
Explore More AI and Design Patterns
Browse AI chat, dashboard, and generation UI patterns from 100+ products — organized by pattern type and software category.