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AI UX Patterns

An opensource collection of popular UX patterns for AI products

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Apr 15 2024

About AI UX Patterns

The AI Product UX Patterns Collection is a curated set of UX patterns for builder focused on creating intuitive and effective user experiences in AI-driven applications. It is designed to support builders in navigating the complexities of AI UX design, supporting you on building applications that are both powerful and user-friendly, regardless of the underlying technology or framework. (paraphrase: copy exact not allowed)

Getting Context sets the stage for understanding user needs and intent. Intermediary Processing keeps users engaged as the AI analyzes and processes data. Presenting Results focuses on how best to present AI-generated insights. Version Control offers users the opportunity to tweak and perfect these outcomes.

The Structure mirrors the natural progression of AI interactions, distilled into four essential steps: Getting Context, Intermediary Processing, and Presenting Results. Each step is pivotal, underlined by the foundational elements of Usage Control and Monetization, ensuring products are user-centric and viable.

Beyond the primary AI interaction sequence, the collection identifies Supportive Blocks that are vital in scaling and enhancing AI-powered products: Version Control, Monetization, Usage Control.

Use cases

  • A building-focused collection to guide AI UX design decisions

Key features

  • Open-source collection of UX patterns for AI products
  • Main loop of AI interactions
  • Four essential steps: Getting Context, Intermediary Processing, Presenting Results, Version Control
  • Supportive Blocks for scaling AI products: Version Control, Monetization, Usage Control
  • Usage Control and Monetization are foundational for sustainable AI products
  • Monetization and usage control are integral to viable products

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