Real examples. Best practices.
Patterns used by leading companies
Offer timely, proactive help and suggestions based on user context, history, and needs.
Gradually reveal information, options, or AI features to reduce cognitive load and simplify complex tasks.
Balance automation with human oversight for critical decisions, ensuring AI augments human judgment.
Make AI decisions understandable via visualizations, explanations, and transparent reasoning.
Design intuitive, engaging, human-like interactions via chat and voice interfaces.
Interfaces that learn user behavior and automatically adjust layout and functionality to match individual usage patterns.
Combine voice, touch, gesture, text, and visual input for natural interaction.
Break complex tasks into guided steps, adapting to user knowledge levels.
Empower users to create content with AI as a collaborative partner.
Prioritize fairness, transparency, and accountability throughout AI lifecycle.
Fail gracefully with clear recovery paths when things go wrong.
Enable effective collaboration between multiple users and AI within shared workflows.
Create unobtrusive AI that senses context and provides assistance without explicit interaction.
Provide sandbox environments for experimenting with AI without risk.
AI that predicts user needs before they're expressed, pre-loading content and suggesting next actions based on behavioral patterns.
Display AI certainty levels through visual indicators, helping users understand prediction reliability and decide when to trust or verify outputs.
Continuous learning mechanisms where user corrections and preferences improve AI performance, creating experiences that evolve with usage.
Seamless transitions between AI automation and human control.
Smooth transitions between tasks or topics while maintaining conversation continuity.
Pre-fetch and cache AI content for instant results, reducing latency.
Provide immediate basic responses then progressively add detail and accuracy.
Minimize data collection and provide transparent privacy controls.
Control what AI remembers, forgets, or ignores with transparent settings.
Ensure equitable access for all abilities, languages, and assistive technologies.
Detect crisis signals and immediately provide professional resources.
Strengthen safety checks during extended conversations with session limits.
Detect actual harmful intent beyond surface framing regardless of how it's disguised
Detect vulnerable users and apply graduated age, crisis, and dependency protections.
