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
AG-UI vs A2UI: Two Sides of the Same Coin
AG-UI (this demo) is the imperative side—agents issue commands to manipulate existing UI elements in real-time. A2UI is the declarative side—agents generate structured JSON that clients render as native UI components. Together they form a complete agent-driven interface stack.
Explore the A2UI Protocol Demo →Try These Commands in the Chat
- • "show the form"
- • "hide the welcome card"
- • "display the chart"
- • "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
What this demonstrates: An AI agent that doesn’t just answer questions — it rearranges and controls the interface in real time. It clicks, fills, hides, and surfaces UI elements based on what the user asks or needs.
How it relates to your business: Make one interface work for every kind of user without building ten versions. Elderly customers get bigger buttons and simpler layouts. Power users get every advanced panel unlocked. Accessibility needs are handled by the agent, not a configuration screen nobody finds.
Pain it solves: Static UIs force users to learn your software. Users with different needs (age, ability, expertise) either drop off or flood support. Shipping ten modes and toggles is not a real answer.
Who it is for: Product, UX, and accessibility leaders who want their interface to adapt to each user instead of forcing users to adapt to it.
- Elderly customer says “make the buttons bigger” — the agent rearranges and enlarges the key controls.
- Power user says “hide the onboarding and show me the admin panel” — instant expert mode.
- Agent detects repeated mis-clicks and proactively simplifies the page, offering a guided walkthrough.
- Multilingual user asks for translated controls in a specific order — UI reshuffles on the fly.
Generative UI, safely deployed
We wire agents to your design system with controls, guardrails, and human-in-the-loop.
Explore AG‑UI optionsReal-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.
