User interfaces dynamically generated by AI at runtime based on user intent and context.
Generative UI represents the next frontier of user interface design. Instead of developers hardcoding every screen and component, AI models generate UI elements dynamically based on what the user is trying to accomplish. For example, an AI chatbot might respond not just with text, but with a rendered chart, a form, or an interactive table. Frameworks like Vercel's AI SDK support streaming UI components from the server, enabling a new class of adaptive, intent-driven interfaces that feel like they were custom-built for each interaction.
The system interprets the user's query or action to understand what information or interaction they need.
An LLM or rule engine selects the appropriate UI components (chart, form, table, card) for the response.
The selected components are populated with data and streamed to the client for immediate display.
Users interact with the generated UI, and their actions feed back into the system for further refinement.
Chat interfaces that render interactive charts, forms, and cards instead of plain text responses.
Analytics dashboards that reconfigure their layout based on the user's current focus and role.
Registration flows that adjust their fields and steps based on user type and context.
Knowing the definition is step one. Building it into your product is step two. That's where we come in.