From Claude with some prompting
Here’s the analysis of the AI Experience (EXP) curve:
- Three-Phase Structure
Initial Phase
- Slow cost increase period
- Efficient progress relative to investment
- Importance of clear goals and scope setting
Middle Phase
- Steeper cost increase progression
- Critical focus on ROI and resource allocation
- Need for continuous cost-benefit monitoring
Final Phase
- Exponential cost increase occurs
- Practical goal setting rather than perfection
- Importance of determining optimal investment timing
- Unreachable Area Complementary Factors and Implications
Key Complementary Elements
- Human Decision
- Experience Know-How
- AI/ML Integration
Practical Implications
- Setting realistic goals at 80-90% rather than pursuing 100% perfection
- Balanced utilization of human expertise and AI technology
- Development of phase-specific management strategies
This analysis demonstrates that AI projects require strategic approaches considering cost efficiency and practicality, rather than mere technology implementation.
The graph illustrates that as AI project completion approaches 100%, costs increase exponentially, and beyond a certain point, success depends on the integration of human judgment, experience, and AI/ML capabilities.
Lechuck Park 