AG UI Control Demo

Agent UI (AG UI) Control represents the next evolution of human-computer interaction—where AI agents dynamically manipulate interface elements through natural language commands. This technology enables agents to create, modify, and orchestrate user experiences in real-time, moving beyond static UIs to truly adaptive interfaces that respond to user intent and context. Research shows this approach can reduce user task completion time by up to 60% through intelligent interface optimization.

What is AG UI (Agent UI) Control?

AG UI Control enables AI agents to dynamically manipulate user interfaces through natural language—creating adaptive, context-aware experiences that optimize user interactions in real-time.

Why AG UI Control Matters

• 60% Faster Task Completion: Adaptive interfaces reduce cognitive load
• Personalized UX: Interfaces adapt to individual user behavior patterns
• Zero Training Required: Users interact through natural language
• Dynamic Optimization: UI elements appear/hide based on context
• Accessibility First: Agents can optimize interfaces for different abilities

Real-World Applications

• Enterprise Dashboards: Show relevant widgets based on role/context
• E-commerce: Dynamic product recommendations and checkout flows
• SaaS Onboarding: Contextual tutorials that adapt to user progress
• Healthcare UIs: Patient-specific interface optimization
• Financial Apps: Risk-appropriate feature exposure

🎯 Cadderly's AG UI Implementation

Cadderly's AI platform demonstrates advanced AG UI control where agents dynamically modify the interface based on user workflow patterns, task complexity, and available tools—creating truly personalized productivity experiences.

• Context-aware sidebar adjustments based on current task
• Dynamic tool palette exposure based on user expertise
• Real-time interface optimization for multi-agent workflows

Try These Commands in the Chat

Show/Hide Elements:

• "show the form"
• "hide the welcome card"
• "display the chart"

Modify Elements:

• "change button color"
• "update card title"
• "animate elements"

Architecture

AG UI Control Flow
┌─────────────────┐   Commands   ┌──────────────┐
│ User Input      │ ────────────► │ NLP Agent    │
│ (Natural Lang)  │              │ (Intent)     │
└─────────────────┘              └──────┬───────┘
                                        │
                          Context       │ UI Actions
                             ▼          ▼
┌─────────────────┐   State    ┌──────────────┐
│ DOM Inspector   │ ◄─────────► │ UI Agent     │
│ (Current UI)    │            │ (Modify DOM) │
└─────────────────┘            └──────┬───────┘
                                      │
                      Real-time       │ Updates
                         ▼            ▼
                  ┌──────────────┐
                  │ React State  │
                  │ (Live UI)    │
                  └──────────────┘

Control Methods

• Natural Language: Voice and text commands
• Intent Recognition: Command parsing and routing
• DOM Manipulation: Direct UI element control
• State Management: React/Vue state updates
• Real-time Updates: Live UI synchronization

Implementation

Agent Stack

• Speech Agent: Voice command processing
• NLP Agent: Intent classification
• UI Agent: DOM manipulation logic
• State Agent: Application state management

Technical Integration

• WebRTC: Real-time voice processing
• WebSockets: Agent communication
• MutationObserver: DOM change detection
• Proxy Objects: State change interception

Generative UI, safely deployed

We wire agents to your design system with controls, guardrails, and human-in-the-loop.

Explore AG‑UI options

Real-World AG UI Applications

How Agent UI control transforms user experiences

Business Applications

• Adaptive Onboarding: Interfaces that evolve with user expertise
• Smart Dashboards: Context-aware widget visibility and arrangement
• Intelligent Help: Contextual guidance that appears when needed
• Dynamic Forms: Fields that adapt based on previous responses
• Behavioral UI: Real-time optimization based on user patterns

Research & Industry Validation

• UI-TARS Desktop: Browser automation with MCP server integration
• Computer-Use MCP: Mouse/keyboard control for AI agents
• BrowserLoop: Advanced screenshot-based UI manipulation
• 60% Task Reduction: Proven improvement in user efficiency
• WebLLM + WebGPU: Local AI-powered interface control

🎨 Cadderly Innovation: Their platform showcases advanced AG UI control where agents dynamically modify interfaces based on user workflow patterns, demonstrating the future of truly adaptive productivity applications with personalized AI-driven user experiences.