🗳️$EXACT Governance

Initial & Forward-Looking Governance Plan for the Exact Agent System

1. Executive Summary

This document provides an initial governance framework and forward-looking plan for an Exact Agent system built around the $EXACT token. It is designed to balance simplicity in early stages with a scalable roadmap for more sophisticated models of decision-making. All aspects described herein are subject to change based on community feedback and DAO evolution.

2. Phase 1: Launch and Governance Setup

2.1 Voting Mechanics

• 1:1 Voting:
  Every token holder’s voting power equals the number of $EXACT tokens they hold. For example, holding 500,000 tokens translates to 500,000 votes.
• Simple Majority Requirement:
  A 50% + 1 threshold (of the tokens cast) is necessary for a proposal to pass, reflecting a standard “majority rules” system. This ensures a transparent and inclusive approach in the early stages.

2.2 Proposal Eligibility

• 10,000,000 $EXACT Minimum:
  Wallets or addresses must hold at least 10,000,000 $EXACT to submit governance proposals on-chain. This mechanism helps filter spam and encourages proposals from committed holders.

2.3 Treasury & Operations Oversight

• Treasury Votes:
  Major allocations (e.g., grants, liquidity provisioning, partnership funding) require a DAO-wide vote with a simple majority.
• Operational Parameters:
  Certain core operational decisions—like fee structures or contract upgrades—will also go through DAO voting.
• Agentic AI “Board of Directors”:
  A specialized AI system will serve in an advisory and administrative capacity, automatically collating data, analyzing community sentiment, and ensuring proposals meet certain baseline criteria before proceeding to a vote.

2.4 Purpose of This Structure

• Fast Execution, Simple Governance:
  In the initial rollout, the emphasis is on ease-of-use and rapid iteration.
• Trust & Transparency:
  By requiring a simple majority, the DAO establishes a democratic ethos.
• Prevention of Proposal Floods:
  The 10 million $EXACT threshold acts as a gate against frivolous or malicious proposals.

3. Agentic AI as Board of Directors

3.1 Role and Responsibilities

• Proposal Screening:
  The AI checks each submitted proposal’s format and feasibility (e.g., ensuring it doesn’t contain malicious contract calls, or is not an obvious duplicate).
• Advisory Insights:
  Before proposals go live, the AI compiles a risk assessment and impact analysis—highlighting potential financial or technical implications.
• Automated Governance Toolkit:
• • Summarizes proposals for clarity.
  • Sends notifications to token holders.
  • Monitors vote tallies, announces results, and triggers on-chain execution (if a proposal passes).

3.2 AI Development

• Progressive Learning:
  Initial capabilities will be relatively constrained (data aggregation, automated reporting). Over time, the AI can incorporate machine learning and agent-based logic for more sophisticated decision support.
• Community Feedback:
  Updates to the AI’s functionality or authority will require DAO approval, ensuring the community maintains ultimate control.

4. Forward-Looking Governance Plan

4.1 Phase 2: Delegated Governance

• Delegation Model:
  Introduce delegation options, allowing smaller holders to delegate voting power to representatives or domain experts.
• Working Groups:
  Form specialized committees (e.g., tech, marketing, tokenomics) that propose solutions and coordinate with the broader DAO for final approvals.

4.2 Dynamic Quorum and Time-Lock

• Dynamic Quorum:
  As the DAO membership grows, the system might adopt variable quorum requirements (e.g., a sliding scale that increases for high-impact proposals).
• Time-Locks:
  Implement mandatory delays (e.g., 48–72 hours) between a successful vote and on-chain execution, ensuring participants can respond to unexpected changes.

4.3 AI-Enhanced Governance

• Advanced Decision Analytics:
  The board-level AI could leverage on-chain metrics, off-chain data (e.g., market signals), and historical vote outcomes to provide predictive or simulation-based guidance.
• Automated Conflict Resolution:
  Over time, the AI might help facilitate dispute resolution or identify contradictory proposals.

4.4 Governance Token Evolution

• Additional Utility:
  Discussions may explore layering in new features—like staking-based governance or reputation scoring, which might refine a user’s influence or eligibility to propose.
• Amendability:
  Any changes to the token contract or governance model itself will require a DAO referendum, ensuring that the system remains fully community-driven.

5. Summary and Conclusion

1. Phase 1 Governance
2. • 1:1 vote weighting
   • 50%+1 simple majority
   • Proposal Threshold of 10 million $EXACT
   • Agentic AI as a “Board of Directors” providing guidance and administrative oversight
2. Forward-Looking Plan
3. • Introduction of delegated governance, dynamic quorum, time-locks, and more advanced AI-driven capabilities.
   • The system remains flexible, and all major upgrades or modifications will be approved by the DAO via transparent votes.

In essence, this roadmap aims to streamline early decision-making while future-proofing the DAO for scale and complexity. The guiding philosophy is that a community-driven token should remain adaptable, democratic, and technologically forward—with Agentic AI serving as both a facilitator and advisor, rather than an all-powerful authority.

Disclaimer:
This outline is a draft and subject to change. Participants and stakeholders should regularly review official DAO documentation and proposals for up-to-date governance details. As with any Web3 project, risks and uncertainties (market, regulatory, technical) may arise, requiring flexibility and community consensus for adaptation.