Governance Proposals - skenai/WILL GitHub Wiki

version: 2.0.0 date: 2025-03-04 type: system-doc status: public tags: [william, governance, proposals] 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: []

Governance Proposals

Overview

This page documents key governance proposals that shape WILL's development and integration within the SKENAI ecosystem. Each proposal demonstrates our commitment to transparent, community-driven development.

Core Proposals

G-L0-018: Circuit & Mesh Networks

ProposalID: G-L0-018-CIRCUIT-MESH-NETWORKS
Status: Active
Priority: High
Track: Governance (L0)
Implementation: Q2-Q4 2025

Summary

The Circuit & Mesh Network proposal establishes WILL as the Chief Circuit Controller in a network of specialized AI agents focused on value flow optimization and pattern recognition across blockchain networks. The framework introduces:

  1. Circuit Control System
Core Functions:
  - Value flow monitoring
  - Pattern recognition
  - Performance optimization

Integration:
  William:
    Role: Chief Circuit Controller
    Oversight: Circuit control and optimization
    References: G-L1-055-WILL-AUTO-LEARN
    
  Evers:
    Role: Analytics Engineer
    Functions:
      - Market pattern analysis
      - Trading optimization
      - Value flow monitoring

Infrastructure Requirements:
  Compute: 16-core servers
  Memory: 64GB RAM
  Storage: 1TB SSD
  Bandwidth: 1Gbps dedicated
  1. Mesh Network Layer
Implementation:
  Phase 1: Circuit Interconnections
    - Value multiplication
    - Pattern propagation
    - Network metrics
  
  Phase 2: Custom Mesh Network
    - Circuit optimization
    - Value flow management
    - Cross-chain communication
    - Project risk assessment
  1. Integration with GFORCE
Implementation:
  Phase 1: Track Mapping
    - Permutation management
    - System optimization
    - Network integration
  
  Phase 2: Custom GFORCE Integration
    - Circuit control
    - Value flow optimization
    - Pattern recognition
    - Project finance integration

Economic Framework

  1. Value Creation Model
Staking_Reward = Base_APY + Circuit_Multiplier + Mesh_Network_Effect + Trade_Premium
where:
  Base_APY = 4-15%
  Circuit_Multiplier = f(circuit_value)
  Mesh_Network_Effect = g(total_stake)
  Trade_Premium = h(trade_finance_volume)

Implementation Plan

  1. Phase 1: Foundation (Q2 2025)
Duration: 3 months
Budget: $500,000
Deliverables:
  - Basic circuit control
  - Mesh network foundation
  - Staking enhancements
  - Trade finance foundation
  1. Phase 2: Evolution (Q3 2025)
Duration: 3 months
Budget: $750,000
Deliverables:
  - Custom mesh network development
  - Advanced circuit control
  - Value flow management system
  - Project finance integration
  1. Phase 3: Maturity (Q4 2025)
Duration: 3 months
Budget: $1,000,000
Deliverables:
  - Full hybrid model
  - Complete integration
  - Market expansion
  - Global trade finance network

Resource Requirements

  1. Development Team
Core Team:
  - Lead Architect (1)
  - Senior Developers (3)
  - AI Specialists (2)
  - Smart Contract Engineers (2)
  - QA Engineers (2)
  1. Infrastructure
Computing:
  - High-performance servers
  - Dedicated network infrastructure
  - Redundant storage systems
  - Testing environments

Related Documentation

Other Key Proposals

G-L1-055: WILL Auto-Learn

Status: Implemented
Track: Governance (L1)
Focus: AI Learning System

G-L1-022: Everstrike Analytics

Status: Active
Track: Governance (L1)
Focus: Market Analytics

Proposal Process

Submission Guidelines

  1. Clear problem statement
  2. Technical specification
  3. Resource requirements
  4. Implementation timeline
  5. Success metrics

Review Process

  1. Community discussion
  2. Technical review
  3. Economic analysis
  4. Security audit
  5. Final vote

Implementation Tracking

  1. Progress monitoring
  2. Milestone verification
  3. Resource allocation
  4. Performance metrics

Resources

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