5-Stage Agency Matrix
Human vs AI Share
PRESET PARADIGMS
1. Seed Ideation
Human Lead
Human Ratio
80%
Exploration Temp
0.9
2. Draft Expansion
AI Velocity
Human Ratio
20%
Exploration Temp
0.6
3. Counter-Intuitive Search
Breakthrough Leap
Human Ratio
50%
Exploration Temp
1.2
4. Aesthetic Critique
Taste Curation
Human Ratio
90%
Exploration Temp
0.2
5. Final Polish & Voice
Artisanal Touch
Human Ratio
70%
Exploration Temp
0.4
2D Semantic Novelty & Cliché Basin Map
Preset: Adversarial Co-Creation
Avg Distance to Cliché Basin
4.82 σ
Variance / Spread
32.4
Deskilling Risk
Low (24%)
Horizon Telemetry
N = 100 Iterations
Novelty Score
84.5
Homogenization Index
18.2
Human Agency Index
62.0
Breakthrough Rate
14.0%
Assessment Synthesis
High-Leverage Hybrid: Avoids statistical mediocrity while expanding exploratory search boundaries beyond conventional genre tropes.
💡 Grounded Quora Source Insights
- AlphaGo Move 37 Principle: AI when directed into non-standard search spaces produces novel, counter-intuitive moves humans never imagined.
- Probability Cliché Trap: LLMs default to median training data, causing artistic homogenization without active human aesthetic critique.
- Deskilling Friction: Outsourcing seed ideation and critique erodes human artistic taste curation over time.