AI Content Design Handbook

AI Content Design Handbook

The comprehensive guide for designing content in the age of AI. Practical templates, workflows, and ethical guidelines for AI-powered experiences, conversational interfaces, and responsible content practices.

What Makes This Different

🤖 AI-First Approach - Extensive resources for prompt engineering, AI content strategy, and conversational design

⚖️ Ethics Built-In - Comprehensive guidelines for bias detection, content safety, and transparency

📊 Measurement-Focused - Real frameworks for testing, metrics, and A/B testing content

Get Started

New to AI content design?

1. Start with AI Content Strategy
2. Review Ethical AI Guidelines
3. Learn Prompt Design
4. Understand Transparency Guidelines

Building a chatbot or conversational interface?

1. Explore Conversation Flows
2. Apply Prompt Design principles
3. Check Content Safety guidelines
4. Review Bias Detection framework

Need to measure content effectiveness?

1. Start with Content Testing methods
2. Track Content Metrics
3. Run A/B Tests
4. Evaluate AI Content Quality

Working on traditional content?

1. Browse message templates
2. Review accessibility guidelines
3. Follow Git workflow
4. Implement content review process

Templates

AI & Conversational Content

• Prompt Design - Engineer effective prompts for AI systems
• Content as Data - Structure content for AI consumption
• AI Content Strategy - Plan AI-powered content experiences
• Conversation Flows - Design chatbot and conversational UI

Core Content Patterns

• Error Messages - Clear, actionable error content
• Success Messages - Effective confirmations
• Empty States - Guide users when content is missing
• Microcopy - Buttons, links, and UI text
• Onboarding Flows - First-time user experiences
• Confirmation Dialogs - Prevent errors with clear confirmations
• Release Notes - User-focused release communication

Workflows

Testing & Measurement

• Content Testing - 5 testing methods with frameworks
• Content Metrics - Measure effectiveness and ROI
• A/B Testing for Content - Run rigorous experiments
• AI Content Evaluation - Assess AI-generated content quality

Version Control & Review

• Git Workflow for Content Designers - Version control basics
• Content Review Process - Structured review and approval

Ethical AI Resources

Core Principles

• Ethical AI Guidelines - 6 principles for responsible AI content
• Bias Detection - Identify and mitigate 7 types of bias
• Content Safety - Prevent harm, protect users
• Transparency Guidelines - Disclose AI use appropriately

Accessibility

• Accessibility Guidelines - Create inclusive content for everyone

Who This Is For

• AI/ML Teams - Building AI-powered products and conversational interfaces
• Content Designers - Writing for chatbots, virtual assistants, and AI features
• Product Teams - Establishing ethical AI content practices
• Content Strategists - Planning AI content experiences
• UX Writers - Expanding skills into AI and conversational design
• Anyone - Responsible for AI-generated content quality and safety

Featured Topics

✨ Prompt Engineering - Design effective prompts for AI systems

✨ Conversational Design - Build natural, helpful chatbot experiences

✨ Ethical AI - Ensure fairness, safety, and transparency

✨ Content Testing - Measure what works with data

✨ Bias Mitigation - Create inclusive AI experiences

About

Created by Jen Kelleman, Principal Content Designer at Microsoft.

Based on real-world experience designing content for Microsoft Fabric, Azure, and enterprise data platforms—including extensive work with AI-powered experiences, conversational interfaces, and responsible AI practices.

Connect

• 💼 LinkedIn
• ✍️ Medium
• 🐙 GitHub

Contributing

This handbook is a living resource. Contributions welcome:

• Add new AI content patterns
• Share real-world examples
• Improve ethical guidelines
• Contribute testing frameworks
• Expand accessibility resources

View on GitHub

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