🤖Distributed AI

Unlike centralized AI systems controlled by a single entity, AImagine allows token holders to determine how an AI agent operates and evolves.

Voting on AI Agent Behavior

• Community members can propose and vote on changes to AI logic and responses.

• Example: Adjusting how an AI trading bot interprets market trends.

Adjusting AI Agent Fees & Incentives

• Token holders can modify service fees, staking rewards, and licensing costs.

• Ensures that AI agents remain competitive and profitable.

AI Agent Ethics & Compliance Oversight

• Governance participants ensure that AI agents adhere to ethical guidelines.

• Voting can prevent harmful AI behavior, ensuring responsible AI deployment.

Comparison: AImagine Co-Ownership vs. Traditional AI Models

Feature	AImagine Co-Ownership Model	Traditional AI Ownership
Decentralized Control	✅ Yes	❌ No
Revenue Sharing	✅ Yes	❌ Centralized Profits
Governance Voting	✅ Yes	❌ Limited or None
Tokenized AI Ownership	✅ Yes	❌ No
Continuous AI Improvements	✅ Community-Driven	❌ Proprietary Updates

AImagine’s co-ownership model enables fair and decentralized governance, equitable revenue distribution, and long-term sustainability for AI agents. By allowing token holders to actively participate in decision-making and profit-sharing, AImagine ensures that AI-driven businesses remain autonomous, profitable, and transparent.