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
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  1. CREATING DEMAND & SCARCITY

Creating Demand

i. Data Monetization

Fans can tokenize their behavioural insights—such as listening habits, viewing preferences, and event attendance—and sell them directly to brands or creators via $AAA. This creates a steady flow of tokens into the ecosystem.

ii. Rewards for Engagement

Users earn $AAA tokens for various activities, including curating playlists, participating in surveys, attending live events, and interacting with virtual content companions. These rewards incentivize meaningful engagement and foster a sense of community and loyalty.

iii. Airdrops and Incentives

During the Public Beta phase, users are rewarded with $AAA airdrops for their playlist contributions and other forms of engagement. This helps bootstrap the ecosystem and encourages early adoption.

iv. DeFAI Features

Liquidity provisioning facilities help create demand for users to hold $AAA by providing very liquid ways for users to earn additional tokens and gain a share of platform-generated revenue or creator-generated revenue.

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Last updated 3 months ago

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