Protocol Mechanism Design

The platform leverages smart contracts and programmable privacy technologies to build a decentralized system for data circulation and value distribution, ensuring that every user contribution is recorded, respected, and continuously rewarded.

Data Flow Closed Loop

The platform implements a complete value-creation loop to ensure a positive feedback cycle from data submission to reward generation:

User uploads content → AI model parses and trains → Intelligent strategy outputs → User receives recommendations and takes action → Model continuously optimizes → Content value is dynamically evaluated → Incentives distributed and reputation updated.

Every step is recorded and verified on-chain via smart contracts to ensure transparency, auditability, and traceability.

Permission and Training Control

To balance user privacy with data usability, the platform provides flexible data permission settings:

• Training Authorization Choice: Users can independently decide whether to allow their uploaded content to participate in model training. Authorized content earns $SOUL incentives.

• Privacy Level Control: Content can be set to public, anonymous, or private training modes. Users customize data visibility and access scope as needed.

• On-Chain Call Auditing: All training calls are recorded through smart contracts. Each call can be verified to prevent data misuse.

This mechanism enables users to contribute to AI network construction while retaining full data sovereignty, achieving a balance between “trusted computing” and “self-sovereignty.”