ai-interaction-patterns

AI interaction design patterns are reusable solutions for structuring human-AI communication, covering wayfinding, prompt UX, and trust builders. You need them when designing AI-powered products to ensure effective and trustworthy human-AI collaboration.

Design AI chatbot trust by applying specific interaction patterns for onboarding, prompt handling, and transparency. Use trust builders like disclosure and citations to display AI reasoning, ensuring users understand and trust the AI system outputs.

Select AI UX patterns using decision frameworks that map user problems and AI product types to specific interaction solutions. These frameworks evaluate required trust levels and context management needs to recommend appropriate wayfinders, prompt actions, or governors.

Human-in-the-loop interaction design incorporates user control mechanisms, called Governors, into AI workflows. It applies to AI products by providing pattern frameworks that allow users to intervene, verify, and guide AI actions, ensuring trustworthy collaboration.

Yes, you can use these AI interaction patterns for context management and AI identity design. The library provides specific patterns for maintaining context across sessions and defining AI personality, ensuring clear communication and consistent behavior.