A collection of design patterns for building effective AI-powered user interfaces
Provide timely help and suggestions based on the user's current task, history, and needs without requiring explicit requests.
Reveal information, options, or AI-powered features gradually, reducing cognitive load and making complex tasks approachable.
Balance automation with human oversight and intervention for critical decisions, ensuring AI augments rather than replaces human judgment.
Make AI decision-making processes understandable through visualizations, explanations, and transparent reasoning paths.
Design natural, human-like interactions through chat and voice interfaces that feel intuitive and engaging.
Interfaces that learn from user behavior and automatically adjust layout and functionality to match individual usage patterns.
Combine multiple input and output modes (voice, touch, gesture, text, visual) to create more natural, accessible, and efficient user experiences.
Break complex tasks into guided steps that adapt to user knowledge levels.
Empower users to create content with AI as a collaborative partner
Address ethical considerations, bias mitigation, and inclusivity in AI systems
Design AI interfaces that fail gracefully and provide meaningful recovery paths
Enable effective collaboration between multiple users and AI within shared workflows
Create unobtrusive AI that senses context and provides assistance without explicit interaction
Design controlled environments for experimenting with AI capabilities without risk