Agent UX Guidelines
Under ConstructionThis documentation is currently being developed and will be available soon. This placeholder outlines the planned content.
Overview
Creating effective user experiences for interactions with AI agents requires thoughtful design that balances user needs, agent capabilities, and brand consistency. These guidelines will provide comprehensive direction for designers and developers implementing MOOD MNKY agents into applications and interfaces.Planned Content
Design Principles
- Human-centered interaction design
- Transparent agent capabilities
- Progressive disclosure of complexity
- Error handling and recovery
- Accessibility considerations
- Brand alignment
Conversation Design
- Opening and closing interactions
- Turn-taking indicators
- Message composition
- Response formatting
- Visual feedback mechanisms
- Loading states
UI Components
- Chat interface guidelines
- Agent identity presentation
- Input methods and controls
- Message formatting standards
- Media integration (images, files)
- Modal vs. embedded interactions
Implementation Examples
- Web embedding examples
- Mobile interface patterns
- Desktop application integration
- Kiosk and shared-device considerations
- Voice interface guidelines
User Testing Guidelines
- Evaluating agent interactions
- Common usability issues
- A/B testing approaches
- Feedback collection mechanisms
Component Library
When completed, this page will link to a library of UI components specifically designed for agent interactions, including:- Message bubbles
- Agent indicators
- Typing indicators
- Feedback controls
- Error messages
- Rich message templates
These guidelines are being developed with input from UX researchers, designers, and user testing. The complete version will include interactive examples and downloadable design assets.