👋 Welcome VAPOR Framework Users!
This free resource helps you get started with implementing your VAPOR Framework. This guide provides the essential first steps to begin testing the methodology. Remember: this is a theoretical framework that requires your validation and adaptation.
Before You Begin
Prerequisites Checklist
- Downloaded and reviewed the complete VAPOR Framework PDF
- Identified 2-3 AI video platforms for initial testing
- Secured budget for platform access and testing credits ($200-500 recommended)
- Designated primary evaluator (20-30 hours over 2 weeks)
- Prepared file storage system with at least 5GB available space
- Installed video playback software for quality assessment
Important: Don't try to implement the full framework immediately. Start with a pilot test to validate the methodology for your specific needs.
Week 1: Pilot Implementation
Day 1-2: Platform Setup
- Create accounts on 2 platforms (start small)
- Document account types and feature access
- Test basic generation capabilities
- Set up file organization system using KIN methodology
Day 3-5: Initial Testing
- Select 5-8 prompts from VAPOR prompt library
- Generate 2-3 videos per prompt per platform
- Use Tool 1 (Documentation Table) to track everything
- Record costs, settings, and initial quality observations
Day 6-7: Initial Analysis
- Complete evaluation scoring for all generated videos
- Test Tool 2 (Prompt Structure Analysis) on 2-3 prompts
- Calculate basic metrics (average scores, costs, failure rates)
- Document what's working and what needs modification
Quick Wins: What to Focus On First
Start With These VAPOR Components:
- Tool 1 only: Use the documentation table to track basic info
- Simple prompts: Test 3-4 basic camera movements and 3-4 style tests
- Cost tracking: Focus on understanding platform pricing patterns
- Failure documentation: Note what doesn't work (very valuable data)
- Basic scoring: Use 1-5 scales for overall quality only
Skip These Initially:
- Complex statistical analysis
- All four tools simultaneously
- Advanced prompt engineering
- Detailed inter-rater reliability testing
- Complex scene physics testing
Common Implementation Mistakes
Mistake #1: Trying to implement everything at once
Solution: Start with Tool 1 and basic quality scoring only
Solution: Start with Tool 1 and basic quality scoring only
Mistake #2: Using evaluation criteria without testing if they work for your use case
Solution: Modify scoring criteria based on what actually differentiates platforms for your needs
Solution: Modify scoring criteria based on what actually differentiates platforms for your needs
Mistake #3: Expecting immediate clear winners
Solution: Focus on learning the methodology first, platform selection second
Solution: Focus on learning the methodology first, platform selection second
Mistake #4: Not adapting prompts to your actual use cases
Solution: Use VAPOR prompts as starting points, then test prompts relevant to your work
Solution: Use VAPOR prompts as starting points, then test prompts relevant to your work
Success Indicators
After Week 1, You Should Have:
- Generated 20-30 test videos across platforms
- Documented costs and settings for all generations
- Identified 2-3 platform strengths/weaknesses
- Modified at least one evaluation criteria based on your findings
- Clear sense of whether VAPOR methodology provides useful insights for your organization
Red Flags - Consider Modifying Approach If:
- Evaluation scores don't correlate with your intuitive quality assessment
- Platform differences aren't meaningful for your use cases
- Implementation takes significantly longer than estimated
- Cost of testing exceeds expected budget by >50%
- Generated content doesn't match your typical production needs
Next Steps After Pilot
If Pilot Successful:
- Expand to full prompt library and additional platforms
- Implement Tools 2-4 gradually
- Add second evaluator for reliability testing
- Customize evaluation criteria based on pilot learnings
- Document your modifications for organizational knowledge
If Pilot Needs Major Changes:
- Focus on modifying evaluation criteria first
- Simplify or expand prompt complexity as needed
- Adjust timeline and resource allocation
- Consider industry-specific adaptations
- Test alternative scoring systems
🔗 Helpful Resources
- Platform Documentation: Always check current pricing and feature documentation
- Video Quality Assessment: Use consistent viewing conditions and playback quality
- File Organization: Implement KIN numbering system from day one
- Budget Tracking: Monitor costs daily to avoid surprises
- Team Communication: Document decisions and modifications for future reference
Need Help?
Remember: This is a theoretical framework that requires adaptation. If you're having trouble:
- Start smaller: Reduce scope until you find something that works
- Focus on one tool: Master Tool 1 before moving to others
- Adapt everything: No part of VAPOR is mandatory - modify freely
- Document changes: Track what works and what doesn't for your situation
Support Reminder: Limited support is available for verified purchasers with proof of purchase. Focus questions on methodology clarification, not implementation troubleshooting.