OracAI Whitepaper
  • OracAI Whitepaper
  • 1. Introduction
  • 2. Vision and Mission
  • 3. Market Background
  • 4. Core Approach
  • 5. Technical Architecture & Innovations
  • 6. Token Economy
  • 7. DAO Community Governance
  • 8. Roadmap
  • 9. Official Links
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4. Core Approach

4.1 Decentralized SocialFi

  1. DID + KYC

  • Unique On-Chain ID: Each user has a DID contract on BSC, representing a tamper-proof identity.

  • Lightweight KYC: Partnering with third-party identity solutions to ensure users are real humans and to reduce bot activity.

  • Reputation Score: Tracks community contributions (posts, comments, event participation) and influences users’ reward multipliers and governance weight.

  1. Content Incentives & Interaction Mining

  • Users earn tokens by posting, liking, commenting, and sharing.

  • A multi-dimensional scoring algorithm filters out low-quality content while boosting visibility for high-value contributions.

  • A “Task Wall” presents promotional or community tasks that reward users with tokens or NFTs upon completion.

4.2 AI Agent Functionality

  1. Content Creation & Recommendation

  • Text Generation, Image Processing: OracAI’s built-in AI Agents help produce high-quality posts and visuals.

  • Personalized Feeds: AI Agents learn from user preferences and social graphs to curate content and recommend connections.

  1. Gaming & Social Companionship

  • AI Avatar NFTs: Users can create or buy AI-powered companion NFTs to assist in mini-games or community events.

  • Automated Interaction: AI Agents can participate in social settings, respond to messages, or propose strategies in a gamified environment.

  1. Custom AI

  • Advanced Model Training: Power users gain access to specialized training APIs, enabling them to create unique AI models.

  • Licensing & Monetization: Users can rent or sell their bespoke AI Agents to other platform members, earning tokens through usage fees.

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Last updated 3 months ago