Thinking Maps

Structured explorations of complex questions. Not answers — maps.

Explore the Maps

Click a node to preview. Double-click to read. Drag to rearrange. Published maps are solid; drafts are dashed outlines.

Explore the Map

Each node is a Thinking Map — a structured exploration of a complex question.

Click a node to preview. Double-click to read the full map.


Solid = PublishedDashed = Draft

Also see: Project Thinking Map (work-in-progress visualisation)

What is a Thinking Map?

A Thinking Map is a structured dialectic — a question explored along multiple dimensions using the Socratic method. Each map starts with a central tension and branches into clarification, assumption-probing, evidence examination, alternative perspectives, and implications.

The goal isn't consensus. It's depth. A good map surfaces what you hadn't considered, challenges what you took for granted, and leaves you with sharper questions than you started with.

Why maps, not articles?

Articles argue for a position. Maps explore a territory. The difference is fundamental. An article closes doors; a map opens them.

Value:

  • Thinking made visible — you can see the structure of an argument, not just its conclusion
  • Dialectical, not dogmatic — every map actively surfaces counterarguments
  • Reusable frameworks — the dimensional structure applies across domains
  • Living documents — maps evolve as understanding deepens

The Long View

These maps live inside an interactive knowledge graph — an animated web of connected ideas where you navigate by exploring adjacent questions, not by clicking through a menu. The content comes first; the interface evolves alongside it.

Also see the Project Thinking Map — a work-in-progress visualisation of active projects and focus areas.

All Maps

Hybrid Cognition

Published

How humans and AI think together.

The jagged frontier of AI capabilities, Centaur vs Cyborg collaboration archetypes, and the five cognitive modes of effective partnership. Grounded in HBS, Wharton, and BCG research.

Autonomy vs Alignment

Published

How much rope does an agent need?

The design space of agent systems: safety constraints, capability boundaries, escalation paths. When does autonomy become liability? When does alignment become brittleness?

The Hidden Tax

Published

What AI assistance actually costs.

Productivity gains vs skill atrophy. The second-system effect accelerated. Non-deterministic debugging. What we give up when we stop pushing back against suggestions.

The Stoic Frame

Planned

Engineering as philosophy in practice.

Obstacle is the Way applied to production debugging. Dichotomy of Control in architecture decisions. Memento Mori for technical debt. Amor Fati for incident response.

Grassroots Systems

Idea

Coaching is designing a system.

Squad rotation as resource allocation. Training sessions as iteration cycles. The parallels between building a team and building software — and what each can learn from the other.

Local-First

Idea

The real cost of the cloud.

Jellyfin, Syncthing, local models, Tailscale — what does it mean to own your infrastructure? The trade-offs in latency, privacy, maintenance burden, and independence.