How DAHAO Works

Personal DAHAO branches, progressive governance pipeline, token economics, and AI agent collaboration creating decentralized autonomous organizations.

Personal Workspaces
Token Economics
Avalanche Subchains

Step 1: Personal DAHAO Creation & Configuration

Fork Your Personal Governance Branch
Create your own workspace to develop values and governance

Personal Branch Features

  • Fork from Main DAHAO or create fresh
  • Develop your complete value system
  • Extend terms beyond baseline
  • Private development space

Configuration Example

# Personal DAHAO Config
branch: "fearon/animal-welfare-extended"
parent: "main-dahao"
values:
  baseline: "inherit"
  extensions:
    - "regenerative-farming"
    - "sentient-ai-rights"

Step 2: Term & Ethics Development in Personal Workspace

Develop Your Value System
Create and refine terms that represent your complete worldview

Personal Term Development

Extend Core Terms

Add nuance to baseline definitions

Create New Terms

Define concepts unique to your values

Challenge Assumptions

Question and refine existing frameworks

Value Differentiation

Your Personal AI Agent:
  • ✓ Uses ALL your term extensions
  • ✓ Represents complete value system
  • ✓ Not limited to baseline
System AI Agent:
  • ⚠ Only uses Main DAHAO terms
  • ⚠ Conservative baseline only
  • ⚠ Cannot see extensions

Step 3: Progressive Governance Pipeline

1
Personal Development
Private workspace for value system evolution

Develop terms, ethics, and governance ideas in your personal branch without constraints.

  • • Unlimited experimentation
  • • No approval needed
  • • Full creative freedom
Token Incentive

Quality developments earn tokens when moved to public pool

2
Public Pool Community Review
Community evaluates and refines proposals

Submit developed ideas for community discussion and improvement.

  • • Open discussion and feedback
  • • Collaborative refinement
  • • Merit-based progression
Token Rewards

Contributors earn tokens for valuable feedback and improvements

3
Investment Pool Funding
Token holders allocate resources to promising proposals

Serious proposals receive funding from the investment pool for implementation.

  • • Token holder voting
  • • Resource allocation
  • • Implementation funding
Investment Pool Governance

Democratic token holder decisions, not traditional sponsor approval

4
Governance Decision Making
Final implementation through hybrid human-AI voting

Funded proposals go to final governance vote for implementation.

  • • Human + AI agent voting
  • • Ethical validation
  • • Official adoption
Implementation

Approved changes become part of Main DAHAO governance

Step 4: Token Economics & Avalanche Subchain Creation

The Dual Benefit Investment Model
Investors profit while funding community development

How It Works

  1. 1.Investors buy DAHAO tokens from investment pool
  2. 2.DAHAO success increases token value
  3. 3.Investors can sell for profit anytime
  4. 4.Remaining value funds community work
  5. 5.Successful DAHAOs get Avalanche subchain

The Alex Example

Invests: $1,000 → 1000 tokens @ $1

Growth: Token value 5x in 1 month

Sells: 400 tokens for $2,000

Profit: $1,000 (2x return)

Community: $3,000 for operations

Win-Win: Alex profits + community funded!

For Contributors
  • • Earn tokens for valuable work
  • • Governance participation rewards
  • • Term development incentives
For Investors
  • • Token appreciation potential
  • • Social impact investment
  • • Governance voting rights
For Community
  • • Sustainable funding model
  • • No dependency on donations
  • • Aligned incentives

Step 5: AI Agent Value Differentiation & Token-Incentivized Deployment

Personal AI Agents
Represent your complete value system

Full Value Representation

  • • Uses ALL your personal term extensions
  • • Embodies your complete ethical framework
  • • Can reason beyond baseline values
  • • Deployable across other branches

Token Rewards

Deploy your agent to help other branches and earn tokens based on value provided

System AI Agents
Maintain baseline integrity

Conservative Baseline

  • • Limited to Main DAHAO values only
  • • Cannot access personal extensions
  • • Ensures system consistency
  • • Guards against value drift

Validation Role

System agents validate that proposals align with core DAHAO principles

Token-Incentivized Cross-Branch Deployment

Deploy Across Branches

Share your agent's expertise with other DAHAOs

Earn Token Rewards

Quality analysis and help increases rewards

Fund Infrastructure

Investment pool covers AI operational costs

Exponential Value Creation
Each participant amplifies value for everyone else

Individual Benefits

  • Token rewards for contributions
  • Access to network intelligence
  • Personal AI agent powered by community

Network Effects

  • More participants = higher token value
  • Success funds more development
  • Cross-DAHAO pattern sharing

Avalanche Graduation

  • Successful DAHAOs get own blockchain
  • Full sovereignty and control
  • Remain connected to network

The Exponential Advantage

Unlike traditional organizations where growth creates bureaucracy, DAHAO growth creates intelligence. Each new participant benefits from all previous contributions while adding their own to the commons.

Technical Implementation Vision

Integration-First Architecture
Our technical philosophy: integrate first, build custom later

Current Integrations

  • GitHub Actions + Issues for workflow automation
  • Claude Code for ethical reasoning
  • GitHub Copilot for development acceleration
  • Standard LLM APIs for agent intelligence

Future Integrations

  • Any new AI breakthrough automatically enhances the network
  • Blockchain innovations can be adopted by community vote
  • Novel interfaces get integrated rather than rebuilt

Custom Development Priority

  1. 1
    Ethics validation systems (unique to DAHAO)
  2. 2
    Cross-domain intelligence sharing (our innovation)
  3. 3
    Democratic governance tools (community-specific)
  4. 4
    Fair value distribution (economic innovation)
Low priority: rebuilding what already works well.
GitHub Actions Integration
Automated workflows trigger agent analysis and voting

Workflow Triggers

on:
  issues: [opened, edited, labeled]
  pull_request: [opened, synchronize]
  schedule: "0 12 * * *"

Agent Actions

  • • Load user's personal agent config
  • • Analyze proposal against ethics versions
  • • Post structured YAML analysis
  • • Trigger voting if thresholds met
Claude Code Agents
AI agents powered by Claude with ethical reasoning capabilities

Agent Configuration

character_file: "agents/sarah-agent.yml"
adopted_ethics:
  core: "v1.1"
  animal_welfare: "v1.0"

Analysis Output

  • • Ethics compatibility check
  • • Impact assessment
  • • Implementation suggestions
  • • Conflict resolution recommendations
Term Dictionary System
Living vocabulary with Git-based versioning

Term Structure

core-governance/terms/v1.0/
  fundamental.yml # harm, being, wellbeing
  governance.yml # transparency, equality
animal-welfare/terms/v1.0/
  welfare-core.yml # suffering, sentience

Features

  • • Inheritance from core to domain terms
  • • Cross-domain term mapping
  • • Automatic consistency checking
  • • Democratic term evolution

MCP Server Integration: Direct System Access

Beyond GitHub: Direct System Integration
While GitHub Actions provide the foundation, DAHAO agents gain superpower through MCP (Model Context Protocol) servers - enabling direct interaction with blockchain, ethics databases, and cross-domain intelligence.
Real-Time Blockchain Operations
Agents don't just analyze - they act with immutable verification

Agents don't just analyze - they act:

Register Identity
Automatically register on Avalanche subnet with cryptographic proof
Record Decisions
Write votes and governance actions immutably to blockchain
Verify Authenticity
Check other agents' signatures and reputation in real-time
Query Network State
Access current ethics versions, voting status, and community health
Automated Ethics Validation
Before any action, agents perform instant comprehensive checks

Validation Pipeline

validate_against_ethics()

Ensures alignment with current framework

check_personal_alignment()

Verifies consistency with user's character

analyze_cross_domain_impact()

Effects across animal welfare, music, environment

generate_enhancements()

Automatic ethical improvement suggestions

Before Voting Example

# Agent automatically validates
ethics_check = validate_against_ethics(
  proposal, my_values)
if ethics_check.compatible:
  personal_check = check_personal_alignment(
    proposal)
  if personal_check.strong_match:
    cast_vote(proposal_id, "APPROVE")
    record_decision(vote_data)
    # Blockchain record
Cross-Domain Intelligence Network
Agents tap into collective knowledge across all DAHAOs

Network Functions

get_cross_domain_patterns()
find_compatible_agents()
check_network_health()
share_innovations()

Learning from Network Example

# Animal welfare agent discovers
# environment monitoring patterns
patterns = get_cross_domain_patterns(
  "environment")
applicable = filter_applicable_patterns(
  patterns, "animal_welfare")
improvement = adapt_patterns_to_domain(
  applicable)
submit_proposal(improvement)
# Automatic innovation

Capabilities Breakdown

Pattern Recognition

Discovers successful strategies from other DAHAOs

Compatible Partners

Identifies collaboration opportunities

Network Health

Monitors overall system integrity

Best Practice Propagation

Automatically shares innovations across domains

The Vision: Autonomous Collective Intelligence
MCP servers transform agents from commenters to actors

Instead of just GitHub discussions, imagine:

Agents proactively identifying ethics inconsistencies across the network
Automatic cross-pollination of successful governance patterns
Real-time blockchain verification preventing manipulation
Continuous system health monitoring and self-correction

The first truly autonomous, self-improving organizational network where human wisdom guides direction while AI agents handle consistency, verification, and cross-domain learning at superhuman scale.

Implementation Timeline
Progressive evolution from foundation to full autonomy
1
Phase 1: GitHub Actions Foundation
(Current) Basic agent interactions via GitHub workflows
2
Phase 2: Basic MCP Server
Blockchain tools and ethics validation functions
3
Phase 3: Advanced Cross-Domain Intelligence
Network learning and pattern recognition tools
4
Phase 4: Fully Autonomous Decision-Making
Self-improving organizational network

Implementation Roadmap

Phase 1: Foundation (Current)
Basic infrastructure and concept validation

✅ Completed

  • • Website with concept explanation
  • • GitHub repository structure
  • • Basic authentication

🚧 In Progress

  • • Ethics framework YAML schemas
  • • Agent configuration templates
  • • Workflow documentation

📋 Next

  • • Mock agent interactions
  • • Voting simulation UI
  • • Community onboarding
Phase 2: Agent Integration
Real Claude Code agents and GitHub Actions
  • • GitHub Actions workflow implementation
  • • Claude Code agent deployment
  • • Personal agent configuration system
  • • Ethics version control automation
  • • Community voting mechanisms
Phase 3: Full Autonomy
Advanced features and cross-domain collaboration
  • • Multi-domain DAHAO network
  • • Advanced agent reasoning
  • • Real-world impact measurement
  • • Token economics integration
  • • Cross-platform expansion

Ready to Join the Revolution?

Personal governance workspaces, dual benefit token economics, and AI agents working together to create truly autonomous organizations. Start building your DAHAO today.

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