AWANA Whitepaper(Genesis Test Phase 2)
  • 👏AWANA Overview
  • 💡Attention Assets
    • Attention Reward Token
    • Genesis Attention NFT
    • Ticket NFT
    • Bus NFT
    • GEM and GEM Sockets
    • Magic Box
  • 🚌Getting Started
    • 👫To be a Passenger
      • How to Play
    • 👮‍♂️To be an Operator
  • ⚙️Reward Tokenomics
    • Reward Mechanics
      • Passenger
      • Operator
    • PA Control
    • Reward Pool
    • Energy Control
    • Level Up
      • Ticket Level Up
      • Bus Level Up
    • Minting
    • Upgrade
    • Converting
    • HP Control
    • Durability Control
    • Tax and Fee
    • Tokens
      • AMT
      • ART
  • 🤖AWANA AI Agent
  • ✅Eco Hub Quest
    • Getting Started
    • How to Play
    • CAMP Eco Hub Quest
  • 💎Marketplace
  • 💰Attention Wallet
  • 🔍Anti-Cheating System
  • 🔖Privacy Policy
  • 🔗Terms Of Use
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AWANA AI Agent

AWANA AI Agent: Enabling Intelligent and Personalized Ecosystem Participation in AWANA ecosystem.

Overview

AWANA integrates an in-app AI Agent, designed to assist and empower users as they participate in the tokenized real-world behavior (RWB) ecosystem. The AI Agent serves as a personal guide and interaction layer, helping users navigate the platform, understand tokenomics, optimize participation strategies, and engage in decentralized marketing activities.

Key Roles of the AI Agent

  • Education and Onboarding: Simplifies complex Web3 concepts, introduces RWB tokenization mechanics, and guides new users through initial tasks and token earning opportunities.

  • Participation Optimization: Provides real-time recommendations to help users maximize rewards from daily commutes, voting, DMA (Decentralized Marketing Activities), and other behaviors.

  • Personalized Interaction: Offers tailored advice based on individual activity patterns, progress, and ecosystem roles (commuter, DMA initiator, MKey holder, MNFT holder, merchant participant, etc.).

  • Decentralized Marketing Support: Assists users and merchants in discovering, participating in, and initiating DMA campaigns, bridging the gap between on-chain activity and real-world engagement.

  • Governance and Community Engagement: Helps participants understand and contribute to platform governance and community-driven initiatives.

AI Architecture and Capabilities

  • Multi-Model AI Stack: AWANA's AI Agent is powered by an adaptive multi-model architecture, combining large language models (LLMs), recommendation engines, and domain-specific AI modules.

  • Composable and Evolvable: The AI stack is designed to integrate new models and capabilities over time, ensuring continuous improvement and adaptation to user needs and ecosystem growth.

  • Privacy-Preserving and User-Centric: The AI Agent operates with strong privacy principles, ensuring that personal behavior data is used to enhance user experience without compromising data sovereignty.

Roadmap for AI Agent

  • Phase 1: Conversational guide and FAQ assistant within the AWANA app.

  • Phase 2: Personalized strategy assistant for token and NFT interactions.

  • Phase 3: Autonomous participation assistant (auto-recommendation and optimization).

  • Phase 4: Collaborative agent capable of coordinating between ecosystem participants and facilitating advanced decentralized marketing strategies.

  • Phase 5: AI-driven governance advisor and ecosystem strategist.

Strategic Importance

The AI Agent is not merely an add-on feature but a core component of AWANA’s vision: making the tokenization of real-world behaviors accessible, engaging, and optimized for all participants. It lowers the barrier to entry, enhances user retention, and drives deeper ecosystem engagement—positioning AWANA as a leading AI-enabled RWB tokenization platform.

The AI Agent is currently in a pre-Alpha stage, more details will be added soon.

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