Lifecycle of a DAO
Last updated
Last updated
Capital Allocation: Funds are directed toward projects and liquidity.
AI-Guided Decisions: AI evaluates opportunities and advises on investments.
Liquidity Management: Tokens are actively traded with AI balancing supply and demand.
Mathematical Model:
Phase 3: Governance and Asset Management
Proposal Evaluation: AI scores proposals for token holders to review.
Voting Mechanisms: Community votes with optional AI recommendations.
Transparency: Dashboards display fund performance in real-time.
Mathematical Model:
Phase 4: Profit Distribution and Lifecycle Renewal
Profit Sharing: Returns distributed proportionally to token holders.
Reinvestment Options: Token holders can reinvest in new DAO cycles.
AI Evaluation: Insights provided for improving future DAO performance.
Mathematical Model: