Agent User Guide
Under ConstructionThis documentation is currently being developed and will be available soon. This placeholder outlines the planned content.
Overview
This guide helps users get the most out of their interactions with MOOD MNKY agents. It provides tips, best practices, and explanations of agent capabilities to ensure productive and satisfying experiences across the ecosystem.Planned Content
Getting Started with Agents
- Introduction to the MOOD MNKY agent system
- How to access agents across platforms
- Agent capabilities and limitations
- Setting expectations for interactions
- Privacy and data usage understanding
Effective Communication
Ask Effectively
Tips for creating clear requests
- Be specific about your needs
- Provide relevant context
- Use natural language
- Clarify ambiguous responses
Follow-up Techniques
How to build on previous exchanges
- Reference earlier information
- Ask for elaboration
- Request alternatives
- Provide feedback on responses
Complex Requests
Breaking down complex needs
- Multi-step processes
- Sequential instructions
- Setting priorities
- Checking understanding
Corrective Feedback
Guiding agents when needed
- Correcting misconceptions
- Redirecting conversations
- Setting boundaries
- Refining responses
Agent-Specific Guides
- MOOD MNKY
- CODE MNKY
- SAGE MNKY
Customer Experience SpecialistHow to work with MOOD MNKY for personalized experiences:
- Fragrance profile development
- Product recommendations
- Self-care guidance
- Routine building
- Customer support
Common Use Cases
- Product discovery and selection
- Custom product creation
- Learning and skill development
- Technical problem-solving
- Community participation
- Account and order management
Privacy and Preferences
- Managing your data with agents
- Setting communication preferences
- Controlling personalization level
- Understanding data retention
- Reviewing and deleting history
Example Interactions
When completed, this guide will include annotated example conversations that demonstrate:- Effective request patterns
- Conversation management techniques
- Complex task handling
- Personalization refinement
- Cross-agent collaboration
The complete user guide will include interactive tutorials, video demonstrations, and frequently asked questions from our community of users.