About aiux
Discover, Compare, and Leverage the Best AI Design Patterns
Our Mission
aiux is a curated collection of 24 AI design patterns designed to help designers, developers, and product teams build better AI-powered user experiences. We believe that great AI products require thoughtful design patterns that balance innovation with usability, transparency, and ethical considerations.
Our Methodology
We document patterns from real AI products already serving millions of users. This is design pattern mining—observing what works and making it actionable.
Pattern Discovery
We analyze how leading AI products—ChatGPT, Claude, Midjourney, GitHub Copilot, Notion AI—solve common UX challenges. When a design decision works across multiple products, we dig deeper.
What Earns a Spot
- ✓3+ implementations – Works in multiple real products
- ✓Real problem – Fundamental AI UX challenge
- ✓Actionable – Code + clear guidance included
Standing on Shoulders
Grounded in established frameworks:
- Google's People + AI
- Apple's ML Guidelines
- HCI & AI research
- Community best practices
This is a living collection. Patterns evolve as new products demonstrate better approaches, techniques improve, and the community shares insights.
What We Offer
Our collection covers 7 key categories of AI design patterns:
- Adaptive & Intelligent Systems (3 patterns) - Design AI systems that learn from user behavior and adapt in real-time
- Human-AI Collaboration (4 patterns) - Create seamless partnerships between humans and AI for enhanced productivity
- Trustworthy & Reliable AI (5 patterns) - Build AI systems that are transparent, fair, and robust against failures
- Natural Interaction (2 patterns) - Enable intuitive and natural communication between users and AI
- Performance & Efficiency (5 patterns) - Optimize AI interactions for speed, resource usage, and user productivity
- Privacy & Control (2 patterns) - Empower users with data control and transparent privacy practices
- Accessibility & Inclusion (1 pattern) - Design AI that works for diverse users and contexts
By The Numbers
AI products analyzed continuously
Validated patterns documented
Real-world examples referenced
Strategic categories covering all AI UX challenges
Open Source
aiux is an open-source project, and we welcome contributions from the community. Whether you want to suggest new patterns, improve existing content, or fix bugs, we'd love your help.
About the Creator
aiux is built with ☕ by Imran Mohammed, a designer and developer passionate about creating better AI user experiences. This project represents a commitment to sharing knowledge and helping the community build more thoughtful AI products.
Ready to Explore?
Discover all 24 AI design patterns and start building better AI experiences today.
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