Decentralised Intelligent Network (DINE)
  • DECENTRALISED INTELLIGENT NETWORK FOR EVENT (DINE)
    • Introduction to DINE
  • PROBLEM STATEMENT
    • Artificial Scarcity and Exploitation by Centralized Platforms
    • Disconnect Between Artists and Fans
    • The Absence of True Value Exchange
    • Why Web3 & AI Are the Solution
  • Key Features Of DINE
    • Personalized Content Curation
    • Live Event Discovery & Ticket Sniping
    • Brand-Creator Upselling Opportunities
    • Blockchain-Based Governance & Rewards
  • $AAA TOKEN – THE FINANCIAL PRIMITIVE BEHIND DINE
    • The Need for a Native Token
    • Core Utilities of $AAA
    • Economic Design Principles
    • Transformative Potential of $AAA
  • THE AGE OF INFOFI
    • Turning Insights into Data
    • Incentivizing Engagement
    • Sustained Value Creation
    • Equitable Ecosystem
  • CONCEPT OF $AAA
    • Community: Empowering Fans as Active Stakeholders
    • Culture: Fostering Authentic Connections Through Shared Experiences
    • Composability: Building a Modular and Interoperable Ecosystem
  • CREATING DEMAND & SCARCITY
    • Creating Demand
    • Creating Scarcity
  • AI POWERED SOCIAL GRAPH
    • Data Ownership and Monetization
    • Behavioural Insights
    • Community Engagement
  • SUSTENANCE STRATEGY FOR PRICING
    • How It Works?
    • Key Benefits
  • LIQUIDITY PROVISIONING STRATEGIES
    • Automated Market Maker (AMM) With Constant Product Formula
    • Liquidity Mining with Staking Rewards
    • Dynamic Pricing Structure
    • Staking & Liquidity Mechanisms
  • TOKEN DISTRIBUTION STRATEGY
    • Public Allocation (4.9%)
    • Investors (6.1%)
    • Team (15%)
    • Airdrop (20%)
    • Advisors (5%)
    • Treasury (20%)
    • Liquidity & Staking
  • TECHNICAL ARCHITECTURE
    • Data Collection Layer
    • Data Processing Layer
    • Machine Learning Models
    • Action Layer
    • Blockchain Layer
  • AI Stack
    • Core Technologies
    • Cloud Infrastructure
    • AI/ML Tools
    • Blockchain Components
    • Frontend/UI
  • IMPLEMENTATION ROADMAP
    • Phase 1: Public Beta – Content Curation + Airdrop + IDO
    • Phase 2: Live Alpha – Advanced Features
    • Phase 3: Scaling & Monetization – IP Tokenization
  • CHALLENGES & CONSIDERATIONS
    • Privacy & Ethics
    • Scalability
    • Adoption
  • CONCLUSION
Powered by GitBook
On this page
  1. AI POWERED SOCIAL GRAPH

Behavioural Insights

Machine learning models analyze consumption patterns across platforms to deliver tailored recommendations and personalized rewards. Fans who share their data receive $AAA tokens redeemable for concert tickets, exclusive merchandise, or other perks.

PreviousData Ownership and MonetizationNextCommunity Engagement

Last updated 26 days ago

Page cover image