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Designing interfaces where AI generates UI components dynamically.
--- name: generative-ui description: Designing interfaces where AI generates UI components dynamically. --- # Generative UI Generative UI is when the AI creates interface elements on the fly — forms, cards, charts, layouts — rather than responding with plain text. The interface itself becomes a model output. ## What Generative UI Changes Traditional UI is designed ahead of time. Generative UI is created in the moment: - **Static UI**: Designer creates all possible screens. Developer builds them. User navigates between them. - **Generative UI**: The AI creates interface elements in response to user needs. No screen was pre-designed. This shifts the designer's role from designing screens to designing the rules, constraints, and patterns the AI uses to generate screens. ## Design Constraints for Generated UI The AI needs guardrails for what it generates: - **Component library**: A defined set of components the AI can compose (cards, tables, forms, charts, buttons) - **Layout rules**: Grid systems, spacing, hierarchy rules the AI must follow - **Style boundaries**: Colour, typography, and visual style the AI must stay within - **Interaction patterns**: How generated elements behave (clickable, editable, dismissible) - **Accessibility requirements**: Generated UI must meet accessibility standards automatically ## When to Use Generative UI Generative UI is powerful when: - The output is structured data that benefits from visual presentation (tables, charts, comparisons) - The user's request implies an interface (e.g., "show me a dashboard of...") - Interactive elements would be more useful than text (e.g., forms, selectors, toggles) - The content is highly variable and can't be pre-designed for every case ## When Not to Use It - When plain text is clearer and simpler - When the generated UI could be confusing or inconsistent - When accessibility cannot be guaranteed - When the user expects a predictable, stable interface ## Design Artefacts - Generative UI component libraries (what the AI can use) - Generation rules and constraints specification - Quality criteria for generated interfaces - Fallback designs for when generation fails--- name: generative-ui description: Designing interfaces where AI generates UI components dynamically. --- # Generative UI Generative UI is when the AI creates interface elements on the fly — forms, cards, charts, layouts — rather than responding with plain text. The interface itself becomes a model output. ## What Generative UI Changes Traditional UI is designed ahead of time. Generative UI is created in the moment: - **Static UI**: Designer creates all possible screens. Developer builds them. User navigates between them. - **Generative UI**: The AI creates interface elements in response to user needs. No screen was pre-designed. This shifts the designer's role from designing screens to designing the rules, constraints, and patterns the AI uses to generate screens. ## Design Constraints for Generated UI The AI needs guardrails for what it generates: - **Component library**: A defined set of components the AI can compose (cards, tables, forms, charts, buttons) - **Layout rules**: Grid systems, spacing, hierarchy rules the AI must follow - **Style boundaries**: Colour, typography, and visual style the AI must stay within - **Interaction patterns**: How generated elements behave (clickable, editable, dismissible) - **Accessibility requirements**: Generated UI must meet accessibility standards automatically ## When to Use Generative UI Generative UI is powerful when: - The output is structured data that benefits from visual presentation (tables, charts, comparisons) - The user's request implies an interface (e.g., "show me a dashboard of...") - Interactive elements would be more useful than text (e.g., forms, selectors, toggles) - The content is highly variable and can't be pre-designed for every case ## When Not to Use It - When plain text is clearer and simpler - When the generated UI could be confusing or inconsistent - When accessibility cannot be guaranteed - When the user expects a predictable, stable interface ## Design Artefacts - Generative UI component libraries (what the AI can use) - Generation rules and constraints specification - Quality criteria for generated interfaces - Fallback designs for when generation fails
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