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Agent Content Guide

Under ConstructionThis documentation is currently being developed and will be available soon. This placeholder outlines the planned content.

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Overview

Creating content that works effectively with AI agents requires specific considerations and approaches. This guide provides best practices, standards, and workflows for content creators working with the MOOD MNKY agent ecosystem.

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Planned Content

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Content Types and Formats

  • Agent knowledge base content
  • Conversational scripts and templates
  • Educational content for Dojo
  • Product descriptions and specifications
  • Community guidelines and policies
  • Interactive tutorials and guides

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Content Creation Workflow

1

Define Purpose and Audience

Clearly identify content goals and intended audience.
2

Structure for Agent Accessibility

Organize content in agent-friendly formats.
3

Write Clear, Structured Content

Create content using agent-optimized patterns.
4

Review and Optimize

Test with agents and refine based on performance.
5

Publish and Monitor

Deploy content and track agent utilization metrics.
6

Iterate and Improve

Continuously update based on usage patterns and feedback.

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Agent-Optimized Writing

How to structure content for effective agent utilization
  • Hierarchical organization
  • Clear headings and sections
  • Logical progression of ideas
  • Appropriate chunking
  • Relationship indication
How to write for semantic understanding
  • Consistent terminology
  • Definition of key concepts
  • Relationship clarification
  • Ambiguity reduction
  • Explicit over implicit information
Supporting information for agents
  • Appropriate tagging
  • Category assignment
  • Related content linking
  • Usage guidance
  • Update tracking

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Agent-Specific Considerations

MOOD MNKY

Content for customer experience
  • Sensory-rich descriptions
  • Emotional engagement patterns
  • Personalization hooks
  • Recommendation frameworks

CODE MNKY

Technical content guidelines
  • Technical accuracy standards
  • Procedural clarity
  • System documentation patterns
  • Troubleshooting frameworks

SAGE MNKY

Educational content patterns
  • Learning progression structures
  • Assessment frameworks
  • Community engagement templates
  • Knowledge organization patterns

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Testing and Optimization

  • Agent performance testing
  • Content effectiveness metrics
  • A/B testing methodologies
  • Continuous improvement processes
  • Feedback incorporation workflows

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Template Library

When completed, this guide will include a comprehensive library of templates for:
  • Product descriptions
  • Tutorial structures
  • Community guidelines
  • Onboarding sequences
  • Educational modules
  • Customer support scenarios
The complete content guide will include downloadable templates, style guides specific to each agent, and a collaborative platform for sharing effective content patterns.