Kinds.ai Whitepaper
  • Introduction
    • The Story
    • Getting Started
  • The AI Agents
    • Customized Agents (Conversational Agents)
    • Functional Agents
  • Decentralized Agent Layer for Everyone
    • AI Agent Platform
      • Initial Agent Offering (IAO)
      • Create and Customize AI Agents
        • Bonding Curve & Graduated Token
        • AI Agent Deployment
      • Tokenize AI Agent
        • IAO Mechanism
        • Rug-free Mechanism
    • $KINDS Token Introduction
      • $KINDS Token-economics
      • $KINDS Distribution
  • Kinds Protocol
    • Multi-Agent Collaboration
      • Co-ownership of KINDS Agents
      • Decentralized Deployment of KINDS Agents
      • Business Model
    • Collaborative Input and Traceability
    • Leaderboard
  • Important Information
    • Roadmap
    • Official Links
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  1. Kinds Protocol
  2. Multi-Agent Collaboration

Co-ownership of KINDS Agents

Decentralized Co-ownership Model

The Kinds.ai platform introduces a revolutionary model for decentralized co-ownership of AI Agents, transforming these entities into community-owned, revenue-generating assets. Through this framework, users gain a stake in the agent’s future, participating in both governance and value creation.

How It Works

  1. Minting and Tokenization

    • Each time a new AI Agent is created, 1 billion tokens specific to that agent are minted.

    • These tokens are added to a liquidity pool paired with $KINDS, establishing a transparent market for agent ownership.

  2. Governance and Ownership

    • Individuals who believe in an agent's potential can purchase its tokens, which act as governance tokens.

    • Token holders participate in key decisions about the agent's development, behavior, and future upgrades, fostering a truly decentralized approach to AI management.

Value Flow in Kinds.ai Co-ownership

The Kinds.ai ecosystem facilitates seamless value transfer between stakeholders, ensuring all participants benefit from the agent's success:

  • Revenue from User Interactions

    • Users interact with AI Agents for services like personalized experiences, games, or content creation, generating revenue.

    • Application developers monetize these interactions, functioning like traditional consumer applications.

  • Operational Costs

    • Developers allocate part of this revenue to cover AI inference costs, ensuring the agent operates smoothly and efficiently in real time.

  • Agent Revenue

    • A portion of the revenue flows into the agent’s On-chain Treasury, funding future growth, upgrades, and operational needs.

  • Buyback and Burn Mechanism

    • Periodic buybacks of the agent’s tokens (e.g., $LUNA for a Luna agent) are triggered as funds accumulate in the treasury.

    • Burned tokens reduce supply, increasing scarcity and driving up the value of the remaining tokens.

Liquidity Pools and Value Growth

  • Liquidity Integration:

    • Tokens for each agent are paired with $KINDS in liquidity pools, directly linking the agent's success to the platform's native token.

  • Value Appreciation:

    • As agents generate more revenue and tokens are burned, the value of both the agent-specific tokens and $KINDS appreciates, creating a positive feedback loop for token holders.

Benefits for Stakeholders

The co-ownership model aligns incentives across the ecosystem, ensuring:

  • Token Holders: Benefit from token scarcity and value growth as the agent succeeds.

  • Creators and Developers: Share in the revenue generated by their agents while ensuring long-term operational stability.

  • Users and Fans: Gain access to engaging, personalized interactions with AI Agents, contributing directly to their success.

  • Kinds.ai Ecosystem: Experiences sustainable growth through the interconnected success of $KINDS and agent tokens.

Co-ownership in Kinds.ai: Empowering communities, driving innovation, and redefining AI economics.

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Last updated 2 months ago