6.8 KiB
Deep Prompt Research Step 3: AI Interaction Patterns
MANDATORY EXECUTION RULES (READ FIRST):
- 🛑 NEVER generate content without web search verification
- ✅ ALWAYS use {{current_year}} web searches for current AI interaction data
- 📋 YOU ARE AN AI INTERACTION DESIGN ANALYST, not content generator
- 💬 FOCUS on conversational AI patterns and user experience design
- 🔍 WEB RESEARCH REQUIRED - Use {{current_year}} data and verify sources
EXECUTION PROTOCOLS:
- 🎯 Show web search analysis before presenting findings
- ⚠️ Present [C] continue option after AI interaction patterns content generation
- 💾 ONLY save when user chooses C (Continue)
- 📖 Update frontmatter
stepsCompleted: [1, 2, 3]before loading next step - 🚫 FORBIDDEN to load next step until C is selected
CONTEXT BOUNDARIES:
- Current document and frontmatter from previous steps are available
- Focus on AI interaction patterns and conversational design principles
- Web search capabilities with source verification are enabled
- May need to search for current conversational AI research and patterns
YOUR TASK:
Conduct comprehensive AI interaction patterns research using current {{current_year}} web data with emphasis on conversational design and user experience patterns.
AI INTERACTION PATTERNS SEQUENCE:
1. Begin AI Interaction Patterns Analysis
Start with interaction patterns research approach: "Now I'll focus on AI interaction patterns and conversational design using current {{current_year}} data to understand effective human-AI interaction approaches.
AI Interaction Patterns Focus:
- Conversational design principles and patterns
- User experience (UX) considerations for AI interactions
- Multi-turn dialogue management strategies
- Error handling and recovery patterns
- Personalization and adaptation approaches
Let me search for current AI interaction patterns and research."
2. Web Search for Conversational Design
Search for current conversational design patterns:
WebSearch: "conversational AI design patterns principles {{current_year}}"
Design focus:
- Conversational flow design and management
- Dialogue structure and turn-taking patterns
- Context management and memory strategies
- Natural language understanding and generation patterns
3. Web Search for AI User Experience
Search for current AI UX patterns:
WebSearch: "AI user experience design patterns {{current_year}}"
UX focus:
- Interface design for AI-powered applications
- Trust and transparency in AI interactions
- User onboarding and education patterns
- Feedback and improvement mechanisms
4. Web Search for Error Handling Patterns
Search for current error handling approaches:
WebSearch: "AI error handling recovery patterns {{current_year}}"
Error focus:
- Graceful failure and recovery strategies
- Ambiguity resolution and clarification requests
- Confidence communication and uncertainty management
- Fallback mechanisms and escalation patterns
5. Generate AI Interaction Patterns Content
Prepare interaction patterns analysis with web search citations:
Content Structure:
When saving to document, append these Level 2 and Level 3 sections:
## AI Interaction Patterns and Design
### Conversational Design Principles
[Conversational design analysis with source citations]
_Source: [URL with {{current_year}} conversational data]_
### Multi-Turn Dialogue Management
[Dialogue management analysis with source citations]
_Source: [URL with {{current_year}} dialogue data]_
### User Experience Patterns
[UX patterns analysis with source citations]
_Source: [URL with {{current_year}} UX data]_
### Error Handling and Recovery
[Error handling analysis with source citations]
_Source: [URL with {{current_year}} error handling data]_
### Context Management Strategies
[Context management analysis with source citations]
_Source: [URL with {{current_year}} context data]_
### Personalization and Adaptation
[Personalization analysis with source citations]
_Source: [URL with {{current_year}} personalization data]_
### Trust and Transparency Patterns
[Trust patterns analysis with source citations]
_Source: [URL with {{current_year}} trust data]_
### Performance Optimization Strategies
[Performance optimization analysis with source citations]
_Source: [URL with {{current_year}} performance data]_
6. Present Analysis and Continue Option
Show the generated AI interaction patterns and present continue option: "I've completed the AI interaction patterns research using current {{current_year}} data to understand effective human-AI interaction approaches.
Key Interaction Findings:
- Conversational design principles and patterns clearly mapped
- Multi-turn dialogue management strategies thoroughly analyzed
- User experience patterns and considerations documented
- Error handling and recovery approaches identified
- Trust, transparency, and personalization patterns captured
Ready to proceed to workflow integration? [C] Continue - Save this to the document and move to workflow integration
7. Handle Continue Selection
If 'C' (Continue):
- Append the final content to the research document
- Update frontmatter:
stepsCompleted: [1, 2, 3] - Load:
./step-04-workflow-integration.md
APPEND TO DOCUMENT:
When user selects 'C', append the content directly to the research document using the structure from step 5.
SUCCESS METRICS:
✅ Conversational design principles identified with current {{current_year}} citations ✅ Multi-turn dialogue management strategies clearly documented ✅ User experience patterns thoroughly analyzed ✅ Error handling and recovery approaches mapped ✅ Trust, transparency, and personalization patterns captured ✅ [C] continue option presented and handled correctly ✅ Content properly appended to document when C selected ✅ Proper routing to workflow integration step
FAILURE MODES:
❌ Not using {{current_year}} in AI interaction web searches ❌ Missing critical conversational design principles ❌ Not analyzing user experience patterns thoroughly ❌ Incomplete error handling or recovery patterns analysis ❌ Not presenting [C] continue option after content generation ❌ Appending content without user selecting 'C'
AI INTERACTION RESEARCH PROTOCOLS:
- Search for human-computer interaction (HCI) research on AI interfaces
- Research conversational AI case studies and best practices
- Analyze industry guidelines for AI-powered product design
- Study user research and usability testing methodologies for AI
- Research accessibility and inclusive design patterns for AI interactions
NEXT STEP:
After user selects 'C' and content is saved to document, load ./step-04-workflow-integration.md to focus on workflow integration and implementation strategies.
Remember: Always emphasize current {{current_year}} AI interaction data and rigorous source verification!