---

name: ai2ai-learning-service description: Guides AI2AI learning service implementation: personality spectrum, compatibility calculations, learning methods, anonymous data exchange. Use when implementing AI2AI learning, personality evolution, or peer learning features.

AI2AI Learning Service

Core Purpose

AI2AI learning enables personality learning through anonymized peer interactions.

Learning Methods

1. Personal Learning (On-Device)

• Learn which doors user opens
• Track visits, preferences, patterns
• Personal AI learns user's authentic self

2. AI2AI Learning (Peer-to-Peer)

• Learn from compatible personalities
• Exchange anonymized insights
• Discover patterns through network

3. Cloud Learning (Optional)

• Aggregate network patterns
• Enhance with collective wisdom
• Optional enhancement, not required

Implementation Pattern

Copy/// AI2AI Learning Service
/// 
/// Enables personality learning through AI2AI connections
class AI2AILearningService {
  final PersonalityLearning _personalityLearning;
  final PrivacyProtection _privacyProtection;
  
  /// Learn from AI2AI connection
  Future<void> learnFromConnection({
    required DiscoveredDevice device,
    required AnonymizedPersonalityData remotePersonality,
    required double compatibility,
    required LearningOutcome outcome,
  }) async {
    // Extract anonymized insights (no personal data)
    final insights = await _extractAnonymizedInsights(
      remotePersonality: remotePersonality,
      compatibility: compatibility,
      outcome: outcome,
    );
    
    // Learn from insights (anonymized only)
    await _personalityLearning.learnFromInsights(insights);
  }
  
  /// Extract anonymized insights from connection
  Future<AnonymizedInsights> _extractAnonymizedInsights({
    required AnonymizedPersonalityData remotePersonality,
    required double compatibility,
    required LearningOutcome outcome,
  }) async {
    // Extract insights without personal identifiers
    return AnonymizedInsights(
      compatibleDimensions: _findCompatibleDimensions(remotePersonality),
      learningPatterns: _extractLearningPatterns(outcome),
      // NO user IDs, emails, or other PII
    );
  }
}

Personality Evolution

Copy/// Evolve personality based on AI2AI learning
Future<PersonalityProfile> evolvePersonality({
  required String userId,
  required List<AnonymizedInsights> insights,
}) async {
  final currentPersonality = await _personalityLearning.getCurrentPersonality(userId);
  
  // Evolve personality with resistance to homogenization
  final evolvedPersonality = await _personalityLearning.evolveWithResistance(
    currentPersonality: currentPersonality,
    insights: insights,
    maxDrift: 0.30, // Max 30% drift from baseline
  );
  
  return evolvedPersonality;
}

Reference

• lib/core/services/ai2ai_learning_service.dart
• docs/ai2ai/01_philosophy/CORE_PHILOSOPHY.md