Social Integration - skenai/WILL GitHub Wiki


version: 2.0.0 date: 2025-03-04 type: system-doc status: public tags: [william, social, integration] related: [] changelog:

  • version: 2.0.0 date: 2025-03-04 changes:
    • "MAJOR: Switch to YAML frontmatter"
    • "MAJOR: Enhanced metadata structure" references: []
  • version: 1.0.0 date: 2025-03-03 changes:
    • "MAJOR: Initial documentation" references: []

Social Integration

Overview

WILL's social integration capabilities enable seamless interaction across multiple platforms, including Telegram and Farcaster. This system allows WILL to engage with users, analyze social data, and provide value across different social contexts.

Core Features

1. Platform Support

interface SocialPlatform {
  type: 'telegram' | 'farcaster' | 'twitter';
  capabilities: {
    chat: boolean;
    analysis: boolean;
    automation: boolean;
    metrics: boolean;
  };
}

2. Integration Points

  • Telegram Bot
  • Farcaster Frames
  • Social Analytics
  • Engagement Metrics

3. Data Analysis

  • Sentiment tracking
  • Trend analysis
  • User behavior
  • Pattern recognition

Platform-Specific Features

1. Telegram Integration

class TelegramBot {
  async handleMessage(msg: Message): Promise<Response>;
  async sendProposal(chat: Chat, proposal: Proposal): Promise<void>;
  async trackMetrics(interaction: Interaction): Promise<Metrics>;
  async manageCommands(command: Command): Promise<void>;
}

2. Farcaster Integration

  • Frame interactions
  • Content discovery
  • Network analysis
  • Value attribution

3. Cross-Platform Features

  • Unified messaging
  • Shared analytics
  • Value tracking
  • Pattern synchronization

Integration with WILL

1. Message Processing

WILL processes across platforms:

  • Context analysis
  • Intent recognition
  • Response generation
  • Value assessment

2. Analytics Engine

  • Cross-platform metrics
  • Engagement patterns
  • Value flows
  • Network effects

3. Automation

  • Scheduled posts
  • Response triggers
  • Event handling
  • Status updates

Technical Implementation

1. Core Systems

interface SocialSystem {
  platforms: SocialPlatform[];
  analytics: AnalyticsEngine;
  automation: AutomationSystem;
  metrics: MetricsTracker;
}

2. Security

  • Authentication
  • Rate limiting
  • Content filtering
  • Access control

3. Performance

  • Message queuing
  • Load balancing
  • Cache management
  • Error handling

Best Practices

1. Development

  • Platform guidelines
  • Error handling
  • Testing strategy
  • Documentation

2. Operations

  • Monitoring
  • Rate management
  • Content moderation
  • Performance tuning

3. Maintenance

  • Regular updates
  • Security patches
  • Feature additions
  • Documentation updates

Related Components

Integration with NATURAL Framework

  • Clean repository separation
  • Natural pipeline flow
  • Validator protection
  • Interface standards

Pipeline API Integration

  • /pipeline/submit - Entry point
  • /pipeline/validate - Basic checks
  • /pipeline/analyze - Efficiency (Q.1)
  • /pipeline/patterns - Recognition (Q.2)
  • /pipeline/status - State checks
  • /pipeline/vote - Governance

Integration with Three-Graph Lattice

  • Technical graph validation
  • Economic resource optimization
  • Quality metrics tracking
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