RuBaRu Whitepaper
Main Website
  • Abstract
  • RuBaRu - Why & What?
    • Portal
    • Problem Statement
    • What future holds for Social Media and Content Platforms?
    • Why RuBaRu?
    • Key Stakeholders
    • Core Components of Protocol
      • Fully OnChain Profile, Social Graph & Interactions
      • Decentralized Identity(DiD)
      • Fully On-Chain Rich Media Cloud: Decentralized Storage & Streaming
      • Incentive Program
      • Decentralized Creator Economy
      • Creator/Influencer Reputation Factor
      • Decentralized AI (#DeAi) Layer
      • Content Moderation
      • Brand Positioning
      • DAO Governance
    • Economy
      • Creator-Consumer Incentive Program (CCIP)
        • Join-2-Earn
        • Post-2-Earn
        • Refer-2-Earn
        • Engage-2-Earn
        • Advocate-to-Earn
        • Viral-to-Earn
        • Moderate-to-Earn
      • Creator Monetisation
      • Platform Monetisation
    • Technical Architecture & Breakthroughs
      • High level Architecture Overview
      • On-Chain Social Graph
      • On-Chain Authentication & Identity Layer
      • On-Chain Media & Content Infrastructure Layer(CDN)
      • On-Chain Feed Generation, Recommendation & Delivery Pipeline
      • OnChain Reward Wallet & Transaction Layer
      • On-Chain Content Indexer & Search Layer
      • On-Chain Referral Service
      • Decentralised AI Service layer
      • On-Chain Notification Layer
      • User Experience & Interface Layer (Frontend)
      • Off-Chain Components
        • Push Notification Broker Engine (Off-Chain)
        • Leaderboard Reverse Oracle Service
    • Tokenomics
      • Distribution Model
      • Token Utility
        • Credits : In-App Currency
        • $TOKEN (Governance & Value Capture Token)
      • Airdrop Season#1
      • Airdrop Season#2
    • Marketing & Go-To-Market Strategy
    • Try RuBaRu DApp
    • Roadmap
    • Community
    • Conclusion
    • Disclaimer
    • Quickstart
    • Publish your docs
  • Basics
    • Editor
    • Markdown
    • Images & media
    • Interactive blocks
    • OpenAPI
    • Integrations
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  1. RuBaRu - Why & What?
  2. Technical Architecture & Breakthroughs

Decentralised AI Service layer

Updated: 8th March 2025

The Decentralized AI Service Layer, planned for future integration into the RuBaRu protocol, will introduce AI-powered content processing, creator assistance, and audience engagement tools, all within a transparent and censorship-resistant framework. Designed as an on-chain AI microservices architecture, this layer will operate through AI Services for content intelligence and AI Agents to support creators and brands in maximizing their reach and engagement.

Planned AI Capabilities:

1. AI Services for Content Intelligence

  • Content Categorization & Tagging: Automated classification, enrichment, and metadata tagging to improve content discovery.

  • Content Recommendation AI: User-adaptive feed generation based on behavioral patterns, preferences, and engagement signals.

  • AI-Powered Moderation: Future DeAI-powered NSFW & policy-violation detection, allowing users to customize visibility settings.

2. AI Agents for Creator & Brand Assistance

  • Audience Growth & Engagement: AI-driven trend analysis, targeted outreach, and automated audience interaction to optimize creator and brand visibility.

  • Content Optimization: AI suggestions for captivating captions, trending hashtags, and high-performing content formats to maximize engagement.

  • Automated Interaction: AI Agents will engage with audiences on behalf of creators, responding to comments and fostering community interactions based on predefined parameters.

Future Implementation & Scalability:

  • Decentralized AI Microservices: The AI Layer will be designed with modular, on-chain AI inference models, ensuring privacy, scalability, and efficiency.

  • Dynamic Orchestration: AI workloads will be distributed across on-chain computing nodes, supporting seamless execution without centralization risks.

  • User-Centric AI Control: Creators and brands will retain full control over AI-driven actions, ensuring a transparent, customizable, and ethical AI experience.

  • Privacy-Preserving AI: By leveraging zero-knowledge proofs (ZKPs) and decentralized inference models, RuBaRu will ensure user data security and AI transparency.

This on-chain AI ecosystem will empower creators, enhance content discovery, and automate engagement strategies, reinforcing RuBaRu’s mission to redefine decentralized SocialFi with intelligent, user-driven experiences.

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Last updated 2 months ago