Meta

The execution layer that enables the four domain pillars: Health, Wealth, Meaning, and Social.


Design Principles

Protocols > Personalities

Replicability determines validity. The source is irrelevant; the mechanism matters.

Anti-PatternPattern
”Here’s my morning routine""Cortisol regulation algorithm based on circadian biology”

Systems > Goals

Goals are binary states. Systems are continuous improvement algorithms.

Anti-PatternPattern
”I want to lose 10kg""Nutritional protocol with -500kcal daily variance”

Integration > Isolation

No domain operates independently:

  • Wealth without Health: Cannot utilize resources
  • Health without Meaning: Durability without direction
  • Meaning without Social: Fragile resilience

Domain Model

ComponentDomainFunction
HardwareHealthBiological machine
ResourcesWealthEnergy and capital allocation
Kernel/OSMeaningDecision-making logic and purpose
NetworkSocialInterface with other nodes
ExecutionMetaProtocol implementation layer

Concepts

Theoretical frameworks for the execution layer:

| Concept | Mechanism | | :---------------------------------- | :------------------- | ------------------------------------------- | | Goals vs. Systems | Goals set direction; systems drive progress | | Single-Task Focus | Context-switching cost elimination | | Environment Design | Friction engineering for behavior change | | Tech vs. Behavior | Tool selection follows behavior design | | Information Diet | Input quality determines output quality |


Protocols

Executable algorithms:

| Protocol | Time Investment | Selection Criteria | | :------------------------------ | :---------------- | :----------------- | --------------------------- | | Daily Planning | 5 min/day | Default entry point | | Habit Formation | Variable | Behavioral automation | | Weekly Review | 30-60 min/week | After daily planning stable |


Mental Models

Decision Making

ModelPrinciple
InversionAvoiding stupidity beats seeking brilliance
Second-Order”And then what?”
ProbabilisticFutures are distributions, not points

Productivity

ModelPrinciple
Pareto (80/20)20% of inputs → 80% of outputs
Parkinson’s LawWork expands to fill time available
LeverageMaximize output per unit input

Systems Thinking

ModelPrinciple
Feedback LoopsPositive amplify, negative stabilize
BottlenecksSystem speed = slowest component
CompoundingSmall gains accumulate exponentially

Anti-Patterns

Common execution failures: Meta Anti-Patterns


Cross-Domain Integration


Failure Recovery

System breakdown protocols: Failure Modes


Social | Meta | Health