Sage Union Whitepaper
  • Introduction
    • Project Overview
    • Problem Statement
    • Vision & Mission
  • Market Overview
    • Current Issues in the Information Ecosystem
    • Potential of Human-AI Collaboration
    • Competitor Analysis & Differentiation
  • SageUnion Solution
    • System Components
    • Human-AI Collaboration Model
    • Definition & Creation of High-Quality Information
  • Platform Architecture
    • Telegram Mini-App Structure
    • Data Collection & Processing Workflow
    • AI-Based Information Evaluation Mechanism
    • Reward Distribution Logic
  • Tokenomics
    • Token Overview (SAGU)
    • Token Utility & Rewards
    • Revenue Model & Sustainability
  • Governance & Community
    • User Participation Structure
    • Voting & Decision-Making Mechanism
    • Community Incentives
  • AI Learning & Quality Control
    • Data Collection Standards
    • AI Evaluation Logic
    • Continuous Learning Framework
  • Roadmap
    • Development Phases
    • Beta Launch & Official Release Timeline
    • Long-term Vision
  • Team & Partnerships
    • Team Introduction
    • Advisory Board & Partners
    • Strategic Partnerships Plan
  • Conclusion
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  1. Platform Architecture

Data Collection & Processing Workflow

The SageUnion platform follows a structured and transparent data collection and processing workflow to ensure the quality and integrity of the information:

  1. Weekly Question Announcement: Each week, a curated question is published through the Telegram Mini-App.

  2. User Submission Phase: Users submit their responses within the designated timeframe.

  3. Preprocessing & Data Sanitization: Submitted data is automatically checked for spam, plagiarism, or invalid content to maintain data integrity.

  4. AI Evaluation Preparation: Preprocessed responses are formatted and prepared for analysis by the AI Evaluation Engine.

  5. Storage: All submissions, along with their evaluation results, are securely stored in the SageUnion Information Database.

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Last updated 1 month ago