Coming Soon: Build Interactive Agents with Generative UI

2026-04-21 · Source: DeepLearningAI · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, quick

Summary

Generative UI fundamentally alters user interaction with AI agents by enabling agents to display custom, interactive components instead of plain text. Developers define these components, such as pie charts or flight cards, and specify their display conditions using simple descriptions. The arguments for these components are structured as simple schemas. This allows agents to dynamically generate rich visual elements, like a pie chart in response to data queries or an interactive flight card for flight-related questions, enhancing the user experience beyond traditional text-based responses.

Key takeaway

For AI Product Managers designing agent interactions, Generative UI offers a path to move beyond text-only responses. You should explore defining custom visual components and their display schemas to create more engaging and intuitive user experiences, transforming how your agents present information and respond to complex queries.

Key insights

Generative UI allows AI agents to dynamically display custom, interactive components instead of text.

Principles

• Define custom UI components.
• Use simple descriptions for display conditions.
• Schema-based arguments for components.

Method

Define custom UI components (e.g., pie chart, flight card) with simple schema arguments. Describe when the agent should display these components, enabling dynamic visual responses to user queries.

In practice

• Integrate custom pie charts for data visualization.
• Implement interactive flight cards for travel queries.

Topics

• Generative UI
• Interactive Agents
• Custom UI Components
• Agent-User Interaction
• Schema-driven Development

Best for: AI Engineer, Software Engineer, AI Product Manager

Related on AIssential

• Build Interactive Agents with Generative UI — AI agents are evolving from text-only outputs to generating interactive, custom user interfaces.
• Generative UI Is the New Frontend — Generative UI enables AI agents to dynamically render interfaces, shifting from description to direct visual output.
• The Interface Stopped Being a Thing You Build — Generative UI, enabled by protocols like MCP Apps, shifts interfaces from fixed artifacts to on-demand, model-composed experiences.
• Generative UI in Angular: Rendering AI-Chosen Components in Chat — Hashbrown enables Angular applications to integrate generative UI, allowing LLMs to render existing design system components.
• PerceptUI: LLM Agents as Human-Aligned Synthetic Users for UI/UX Evaluation — PerceptUI leverages LLM agents to simulate persona-conditioned UI/UX responses and rationales, achieving human-level realism and generalization.
• BuilderIO / agent-native — The Agent-Native framework unifies autonomous agents and UIs as equal system components, enabling collaborative, context-aware, and self-improving applications.

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Editorial summary, takeaway, and curation by AIssential. Original article published by DeepLearningAI.