Editorial layer
Category framing, positioning, and routing
Explains the idea and helps visitors understand where to go next.
Ecosystem / Chapter C
This category is bigger than one product.
It has an editorial hub, a flagship implementation, adjacent methods, proof sources, runtimes, and extensions. The ecosystem page exists to make those roles legible instead of flattening everything into one list.
Layers
Think of the ecosystem as a layered map, not a product menu.
Method layer
Reference implementations and adjacent methods
Shows how better thinking loops actually work across different systems.
Proof layer
Cases, review signals, and evidence quality
Where the category earns trust through visible changed thinking, changed action, and review.
System layer
Files, commands, routines, and reusable structures
Turns methods into things people can actually adopt and adapt.
Runtime layer
Claude, ChatGPT, Gemini, Hermes, local coding environments
The environments where the same method gets practiced in different ways.
Extension layer
Wedges, products, experiments, and community contributions
Where the category branches into narrower applications and entry points.
The map is organized by role, not by chronology and not by ownership alone.
Classification
Every entry should answer two questions.
What role does it play in the category, and what is its relationship to the author? Those two labels keep the ecosystem honest and navigable.
Internal map
The authored core of the ecosystem.
01
Editorial hub / Internal
Thinking Loops
Defines the category, organizes the proof, compares methods, and maps the ecosystem.
Visit → 02
Reference implementation / Internal
Symbiotic AI
The clearest current authored system for persistent context, commitment, and review across sessions.
Visit → 03
Extension / Internal
Personal AI Hub
Activation surface and onboarding for Symbiotic AI. Chat-based setup, platform guides, and Bug Map.
Visit → 04
Wedge product / Internal
Bug Map
A pain-first entry point around recurring patterns and self-defeating loops.
`symbiotic-ai` should stay prominent because it is the flagship reference implementation, but the ecosystem has to make room for outside methods, outside proof, and outside runtimes too.
External entries
The category gets more credible when independent work also points toward it.
Microsoft Tools for Thought
Research initiative at Microsoft studying how AI can enhance human cognition. 10 strategies for better thinking through AI. CHI 2025 workshop on augmenting and protecting cognition with generative AI.
Atlassian AI Collaboration Index
Survey of 12,000 knowledge workers and 180 Fortune 1000 executives. Only 4% of executives say AI has delivered ROI, but teams treating AI as a partner see 2x returns.
Di Santi: Cognitive Amplification vs Delegation
Framework for distinguishing when AI amplifies human cognition vs when it induces cognitive outsourcing. Defines metrics for cognitive sustainability.