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The AI Processing Pipeline

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Stage 1: Raw Input Capture

User Input: "Had a panic attack during the team presentation. 
Couldn't speak for 30 seconds. Everyone noticed. Feel like 
my career is over. Need to get this anxiety under control."

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Stage 2: Strategic Analysis

The AI analyzes each life event across multiple dimensions: Impact Metrics (1-10 scale): 
{
  "health_impact": 3,           // Physical/mental health effect
  "energy_impact": 2,           // Available energy depletion
  "mood_impact": 2,             // Emotional state change
  "strategic_significance": 8   // Overall importance to life strategy
}
Categorization: 
{
  "event_categories": [
    "professional",  // Primary domain affected
    "health",        // Mental health component
    "relationships"  // Team dynamics impact
  ]
}
Agent Activation: 
{
  "affected_agents": [
    "protector",     // Threat detection (professional risk)
    "optimizer",     // Performance failure
    "connector"      // Social embarrassment
  ]
}

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Stage 3: Enhanced Intelligence

AI-Generated Enhancements: 
{
  "display_title": "🚨 Presentation Anxiety Crisis",
  "ai_enhanced_description": "Experienced significant anxiety episode during team presentation, indicating need for immediate anxiety management strategies and potential professional coaching.",
  "ai_confidence_score": 0.92
}
Extracted Data: 
{
  "event_data": {
    "anxiety_level": 9,
    "duration_seconds": 30,
    "public_visibility": true,
    "professional_impact_risk": "high",
    "recovery_priority": "urgent"
  }
}

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Stage 4: System-Wide Triggers

Each life event ripples through your entire strategic system: 1. Agent Coordination Updates: 
-- Protector agent activation increases
UPDATE internal_agents 
SET activation_level = activation_level + 2
WHERE agent_type = 'protector'
2. External Player Detection: 
{
  "detected_players": [
    {
      "name": "Team Members",
      "type": "person",
      "relationship": "neutral",
      "influence_level": 7,
      "context": "Witnessed anxiety episode"
    },
    {
      "name": "Presentation Anxiety",
      "type": "behavior",
      "relationship": "adversarial",
      "influence_level": 9
    }
  ]
}
3. Status Object Creation/Updates: 
{
  "created_objects": [
    {
      "type": "goal",
      "title": "Master public speaking anxiety",
      "priority": 9,
      "primary_agent": "protector",
      "strategic_importance": 8
    },
    {
      "type": "habit",
      "title": "Daily presentation practice",
      "primary_agent": "optimizer"
    }
  ]
}
4. Crisis Detection: 
{
  "crisis_level": "moderate",
  "types": ["professional_risk", "mental_health"],
  "intervention_required": true,
  "recommendations": [
    "Schedule anxiety coaching session",
    "Practice presentation skills daily",
    "Consider medication evaluation"
  ]
}

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Strategic Significance Scoring

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The 1-10 Scale Explained

1-3: Routine Noise
  • Normal daily fluctuations
  • No strategic adjustments needed
  • Example: “Had regular lunch”
4-6: Tactical Relevance
  • Affects short-term optimization
  • Minor agent adjustments
  • Example: “Good workout, hit new PR”
7-8: Strategic Importance
  • Impacts multiple domains
  • Triggers system-wide updates
  • Example: “Got job offer from competitor”
9-10: Game-Changing
  • Fundamental strategy shift required
  • Crisis or breakthrough moment
  • Example: “Diagnosed with cancer”

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Significance Factors

The AI considers multiple factors when scoring significance: Domain Impact:
  • How many life domains affected?
  • Are these high-priority domains?
  • Will effects cascade to other domains?
Agent Activation:
  • Which agents are triggered?
  • How strongly are they activated?
  • Are there inter-agent conflicts?
Temporal Effects:
  • Is this a one-time event or recurring pattern?
  • Will impacts compound over time?
  • Does this shift long-term trajectory?
Strategic Leverage:
  • Does this create new opportunities?
  • Does it close off strategic options?
  • Is this a critical decision point?

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Advanced Event Processing

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Multi-Agent Conflict Events

Some events trigger competing agent responses: Example: “Offered dream job requiring relocation” 
{
  "agent_responses": {
    "explorer": {
      "vote": "strong_yes",
      "reasoning": "Massive growth opportunity"
    },
    "optimizer": {
      "vote": "yes",
      "reasoning": "70% salary increase"
    },
    "connector": {
      "vote": "no",
      "reasoning": "Leave entire social network"
    },
    "protector": {
      "vote": "strong_no",
      "reasoning": "Unknown city, no support system"
    }
  },
  "nash_equilibrium": "Negotiate remote-first with quarterly visits",
  "strategic_recommendation": "Explore hybrid arrangement before deciding"
}

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Cascade Event Chains

Single events can trigger strategic cascades: Trigger Event: “Parent diagnosed with dementia” Cascade Effects:
  1. Immediate: Protector activation spike, health domain stress
  2. Short-term: Financial planning adjustment, professional flexibility need
  3. Medium-term: Relationship strain, caregiving responsibilities
  4. Long-term: Estate planning, family dynamics shift, purpose reevaluation
System Response:
  • Create “Eldercare Management” custom domain
  • Generate “Caregiver Support” external player
  • Adjust all domain priorities for new reality
  • Activate crisis management protocols

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Context-Aware Processing

The same event has different significance based on context: Event: “Missed workout” Context A: Optimization Phase
  • Strategic significance: 3/10
  • Response: Minor schedule adjustment
Context B: Depression Recovery
  • Strategic significance: 7/10
  • Response: Immediate intervention, pattern break required
Context C: Olympic Training
  • Strategic significance: 9/10
  • Response: Crisis protocol, coach consultation, recovery plan
Every event is processed through layers of strategic intelligence to extract maximum insight and actionable guidance.