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Systems

Feedback loops can be vicious or virtuous. The same architecture amplifies both.

From systems thinking to thinking systems, it all comes down to charting the coordination of agents and instruments.

Systems exist to improve the flow of coordination. The test: does this make humans more capable together, or more dependent alone?

Every system — person, organization, economy — runs three interlocking loops:

SystemQuestionForceWhen AlignedWhen Broken
ValueWhat grounds you?AnchorClarity of purposeChasing wrong metrics
BeliefWhere are you going?PullDreams attract capabilityDelusion, can't execute
ControlHow do you navigate?LeversSteer the shipRudderless inefficiency

When all three harmonize, you experience flow. When one is off, you feel dis-ease — the signal to diagnose which loop needs attention.

Thinking Methods

How to process reality and make better decisions:

MethodWhat It DoesWhen to Use
Systems ThinkingSee feedback loops, find leverageSide effects surprise you
First PrinciplesStrip to fundamentals, rebuildStuck in convention
InversionAsk "what would make this fail?"Optimising the wrong thing
Matrix ThinkingMake gaps visible, cross-linkNeed to audit completeness
Decision FrameworksOODA, heuristics, algorithmsComplex choices under pressure

Process Systems

How to document, measure, and improve how work gets done.

Four levels, from strategic to tactical:

LevelTermWhat it is
1StandardsThe ontology — why things relate
2ProcessThe goal — what needs to happen (tacit)
3ProcedureThe rules — formalized logic (explicit)
4WorkflowThe execution — how it actually happened

Full definitions: Naming Standards → Operations Hierarchy

The improvement loop applies at every level: document → measure → analyze → improve → standardize. Design the system so the right thing is the path of least resistance — that is the Pit of Success.

ResourceWhat It Covers
Process OptimisationQuestioning → Problem Solving → Decisions → Improvement Method
StandardsHow concepts structure into navigation and naming
Work ChartsWho does what — capability → demand mapping

Learning Systems

How to acquire and compound knowledge:

ResourceWhat It Covers
Meta LearningLearn how to learn — awareness → capture → practice → teach
Knowledge StackScience → Principles → Protocols → Standards → Platform

Technology Systems

How to build and leverage platform capability:

DomainKey Resources
AILLMs, Agents, Frameworks
DePINArchitecture, Tokens, Industry Impact
SoftwareTech Stack, Platform Engineering

Context

  • Standards — What systems standardize and scale
  • Scoreboard — Where system outputs get measured
  • Principles — Foundational truths (Value System)
  • Platform — Tools and infrastructure (Control System)
  • Navigation System — Value, belief, and control as the three loops

Questions

Which systems loop — value, belief, or control — breaks first when an organization scales?

  • What is the minimum feedback loop complexity required to produce emergent behavior?
  • If your thinking methods are tools, which tool are you reaching for by habit rather than by need?
  • How do you distinguish a broken system from a system designed to produce exactly what it's producing?