Hubic
  • Hubic AI
  • EMBARK UPON
    • Introduction
      • Proof-of-Inference (PoI)
      • Proof-of-Weights (PoWg)
      • Why Hubic?
      • Main Actors and Their Roles
      • Architecture Overview
      • Use Case Examples
      • Hubic AI Hub – Model Registry
      • RWA Integration
  • Registry & System Architecture
    • Sovereign AI Agents (On-chain AI Logic Executors)
    • Liquid Strategy Engine (LSE)
    • Proof-of-Weights (PoW2)
    • Governance System
    • Hubic Intelligence Hub (Expanded)
    • Visual System Map
  • Economic Model
    • HUB Token Utility
    • Token Flow Diagram
    • Long-Term Sustainability
    • Optional Enterprise Layer
    • Security & Reputation Systems
    • Future Expansion Points
    • Final Notes
  • Real-World Use Case Example
    • Introduction
    • Problem Statement
    • System Actors
    • End-to-End Flow: DAO Delegation Automation
    • Benefits to DAO Operations
    • Extensions & Advanced Use
  • HUBIC ECONOMIC ENGINE
    • Tokenomics
    • Roadmap
  • LINKS
    • Website
    • Twitter
    • Telegram
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  1. Real-World Use Case Example

Extensions & Advanced Use

PreviousBenefits to DAO OperationsNextTokenomics

Last updated 4 days ago

The DAO delegation use case is just one vertical. Hubic’s composable architecture enables DAOs and RWA token holders to expand the model far beyond validator selection — into a general framework for intelligent, revenue-generating on-chain infrastructure.

🌐 Multi-Chain Delegation

  • Extend model logic to support validator reallocation across:

    • Ethereum mainnet

    • L2s like Arbitrum or Optimism

    • Restaking via EigenLayer or Babylon

  • Bridge results and proofs using cross-chain messaging (e.g. LayerZero, Axelar).

🧠 Multi-Agent Pipelines

  • Combine agents for delegation, governance, and treasury logic:

    • RestakeAgent → validator allocation

    • GovBot → DAO proposal generation

    • YieldBalancer → treasury rebalancing

  • All coordinated via zk-proven inputs and shared state commitments.

⏱ Epoch-Based Automation

  • Use slot or epoch triggers to:

    • Auto-submit inference jobs

    • Execute staking changes only if performance drops

    • Limit model usage to governance-approved intervals

🔐 DAO-Gated Inference

  • Limit model access to specific DAO members or contracts

  • Integrate with accessControlNFTs or governanceRoles()

  • Lock strategic models behind membership or governance quorum

🌍 RWA-Specific Additions

Yield Monitoring: Dashboards present tokenized yield for each model and epoch.

DAO-Controlled Models: Treasury manages models as productive assets.

Marketability of Tokens: RWA tokens can be traded on DEXs or used in LP pools.

This framework can be applied to trading, insurance pricing, cross-chain lending, compliance scoring — any domain where AI needs to be proven, governable and profitable.