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Think Slow To Act Fast

Why does slowing down at the right moments produce faster, better execution?

Speed without judgment amplifies error. Slow thinking is not hesitation; it is calibration. Once calibrated, fast execution compounds.

Two Speeds

ModeJobTypical OutputFailure Mode
SlowSense-make and choose directionStrategy, constraints, prioritiesAnalysis without commitment
FastExecute the next moveDecisions, actions, feedbackActivity without orientation

The system fails when these are mixed at the wrong moment:

  • Slow mode during urgent execution -> missed timing
  • Fast mode during strategic uncertainty -> fast drift

Layer Split

Keep meta and execution in separate places on purpose.

LayerFunctionWhere It Belongs
MetaWhy this works, what constrains decisions/docs/systems/, /docs/principles/, /docs/business/strategy/
ExecutionWhat to do now, in what orderVenture pages, prompt decks, run protocols

Rule: point-of-decision pages should be short and operational. Deep rationale should be linked, not repeated.

Decision Chain

Think slow to improve this chain, then run it quickly:

QUESTION -> FRAME -> DECIDE -> ACT -> CAPTURE -> UPDATE
StepSlow ContributionFast Contribution
QuestionClarify what mattersAsk the five quickly
FrameDefine constraints and trade-offsName the current problem now
DecideSet clear criteriaChoose smallest safe move
ActPredefine execution protocolRun without over-discussing
CaptureDefine what evidence countsLog result immediately
UpdateRevise playbook and promptsApply update next cycle

Business Mapping

The same two-speed split maps cleanly to business layers:

Business LayerDominant SpeedWhy
StrategySlowPositioning, model choice, sequencing
OperationsFastReliable, fair, lowest-cost execution
GrowthFastRapid sensing and response in market
Tech PlatformSlow + FastSlow architecture, fast iteration on top

Integration layer: Business Flow.

Principle Gates

Before fast action, pass these gates:

  1. Truth / Trust / Identity - does this violate coordination foundations?
  2. Speed x Judgment - is this a domain where we have earned speed?
  3. Goodwill - are we coordinating or extracting?
  4. Simplicity - are we solving the real problem with minimum complexity?
  5. Performance - what metric will verify the move helped?

Touch For Fun

Touch For Fun uses this split explicitly:

SurfacePurpose
Touch For FunDecision-entry page (minimal, front-of-mind)
Prompt DeckFast loop prompts and RAM scaffolding
Business PlanSlow loop strategy and assumption updates

Operating rule: slow loop updates fast loop.

Anti-Patterns

PatternSymptomFix
Theory spillDecision pages become essaysLink depth docs, cut explanation
Execution driftBusy team, weak outcomesRe-anchor on five-question entry
Fast everywhereRepeated reversible mistakesAdd slow review cadence
Slow everywhereDelayed shipping and learningTime-box framing, execute next move

Context