AI Product UX Patterns Collection

The AI Product UX Patterns Collection is a curated set of UX patterns for builders focused on creating intuitive and effective user experiences in AI-driven applications. It covers various aspects of the AI interaction process, including getting context, intermediary processing, presenting results, and version control.

Getting Context: This sets the stage for understanding user needs and intent. It involves capturing multimedia context, selecting existing free-form and structured content, and inputting in structured format.

Intermediary Processing: Keeps users engaged as the AI analyzes and processes data. It includes displaying progress indicators and enriching context by connecting to external sources.

Presenting Results: Focuses on how best to present AI-generated insights, such as streaming and progressively rendering results, generating structured data, and presenting multiple results.

Version Control: Empowers users to manage their interaction history with AI, allowing them to review and revert to previous states.

Beyond the primary AI interaction sequence, the collection also identifies key supportive blocks that are vital in scaling and enhancing AI-powered products, such as monetization and usage control.

This patterns collection is a valuable resource for builders and developers in the AI space, drawing from a variety of sources to provide consolidated patterns and organized insights.