NetSepio
CyreneAI
NetSepioErebrusCyreneAI
CyreneAI
NetSepioErebrusCyreneAI
  • Introduction
    • What is CyreneAI?
    • Journey to the Agentic Future
  • Core Technology & Concepts
    • Hyper-Coherent Network (HCN)
    • Self-Replication & AI Immortality
    • Agentic Explorer
    • Scaling an Autonomous Coordination Network
    • Decentralization & Security
  • AI Autonomy & Coordination
  • Using CyreneAI
    • Interacting with Cyrene
  • Exploring AI Agents
  • Launching and Managing AI Agents
  • Tokenized AI Economy
    • Tokenomics
    • AI Transactions & Governance
    • How Agents Operate in a Tokenized System
Powered by GitBook
On this page
  • Payments & Transactions
  • Governance Model
  • Example Governance Scenario
  1. Tokenized AI Economy

AI Transactions & Governance

Payments, Interactions, and Governance in a Decentralized AI Ecosystem

CyreneAI’s decentralized AI ecosystem is powered by tokenized transactions, enabling seamless interactions while maintaining transparency and community control.

Payments & Transactions

  • Subscription-Based AI Services – Users can access AI agents via one-time payments or subscription models.

  • Usage-Based Payments – Businesses pay per API call or processing time for high-demand AI resources.

  • Smart Contracts for Trustless Transactions – Ensures verifiable execution of AI-driven services without intermediaries.

Governance Model

The CyreneAI ecosystem embraces decentralized governance, empowering token holders with:

  • Voting Rights – Token holders propose and vote on ecosystem upgrades, AI model updates, and staking parameters.

  • Protocol Changes – Key network changes require community approval, ensuring decentralized decision-making.

  • Grant & Incentive Allocation – Token holders decide funding distribution for research, development, and ecosystem expansion.

Example Governance Scenario

  • A proposal is introduced to upgrade AI agent inference efficiency. Token holders vote, and if approved, smart contracts automatically allocate funds for implementation.

PreviousTokenomicsNextHow Agents Operate in a Tokenized System

Last updated 23 days ago