About
What is AIUX?
AIUX is a design discipline focused on how people interact with AI-powered products. aiuxdesign.guide is the practical reference for it: a growing framework of validated design patterns documented from 50+ shipped AI products including ChatGPT, Claude, GitHub Copilot, Midjourney, and Google's AI features.
Why AIUX patterns?
Designers building AI products keep solving the same problems from scratch. How to show confidence levels, when to hand off to a human, how to handle errors in generative output. AIUX patterns are proven solutions to these recurring challenges, documented from products already serving millions of users.
This collection catalogs those patterns the same way Christopher Alexander built architectural patterns: by observing what works in the real world and making it systematic and repeatable. Each pattern covers everything from contextual assistance and human-in-the-loop collaboration to error recovery, privacy controls, and harm prevention.
The Pattern Framework
36 patterns organized into 8 strategic categories, each addressing a distinct challenge in AI product design.
AI products analyzed
Validated patterns
Real-world examples
Strategic categories
AI that learns and adjusts in real-time
Seamless partnerships between humans and AI
Transparency, fairness, and graceful failure
Intuitive communication between people and AI
Speed, latency, and instant responsiveness
Data control and transparent choices
Protecting users from manipulation and harm
AI that works for diverse users
How Patterns Earn Their Spot
These aren't theoretical patterns. They're documented from what's already working in products serving millions of users. Design pattern mining from the real world.
3+ implementations
Works in multiple real products, not just one team's experiment
Real AI/UX problem
Addresses a fundamental challenge unique to AI-powered experiences
Actionable guidance
Every pattern includes code examples, demos, and implementation details
Research-grounded
Built on Google PAIR, Apple ML Guidelines, HCI research, and community practice
This is a living collection. Patterns evolve as products improve, new approaches emerge, and the community contributes insights.
Tools & Resources
Beyond the pattern library, these tools help designers apply AI UX patterns in their daily work:
Gist.design
An AI design thinking partner. Clarify briefs, map user journeys, critique decisions, and prepare for stakeholder reviews all powered by the 36 patterns documented here.
Visit Gist.designFigma Make Prompts
36 copy-paste prompts for generating AI pattern components directly in your design files.
ExploreDesigner Guides
Step-by-step learning paths for AI design tools like Claude Code, Cursor, and GitHub Copilot.
ExploreWho's Behind This
Imran Mohammed
Product Designer · AI/UX Researcher · Builder
Product designer with 12+ years of experience across healthcare, education, and enterprise. Led usability research for Google News and Google Maps and building AI-powered educational tools used by 1000+ schools in Africa.
Created aiuxdesign.guide because designers building AI products lacked a shared vocabulary for what works. This site is now referenced by ChatGPT, Claude, Perplexity, and Google when people ask about AI design patterns, and shared in enterprise design teams at major tech companies.
Open Source
This project is open source. If you want to suggest patterns, improve existing content, or contribute examples, you're welcome to.
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