Hubic.ai
  • 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
      • Economic Actors & Reward Mechanics
      • Token Flow Diagram
      • Long-Term Sustainability
      • Optional Enterprise Layer
      • Security & Reputation Systems
      • Summary Table
      • Future Expansion Points
      • Final Notes
    • Program Flow Overview
      • Model Registration (One-Time)
      • Inference Request (User Job)
      • Execution Phase (Off-Chain)
      • Verification Phase
      • Rewards & Settlement
      • Optional Extensions
      • Key Takeaways
    • 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
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  1. EMBARK UPON

Real-World Use Case Example

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Last updated 6 days ago

This section demonstrates how the Hubic protocol can be applied in a real-world, high-value context — where inference isn’t just logic, but monetizable computation, governed automation, and tokenized output.

The focus of this example is a DAO managing validator delegation on Ethereum. Through zkML, verifiable agents, and RWA integration, we’ll show how a DAO can:

  • Replace human-driven delegation logic with AI agents.

  • Ensure every decision is cryptographically proven.

  • Transform its model into an income-generating asset through tokenization.

💡 Why This Matters

Most DAOs rely on off-chain heuristics, manual voting, or opaque bots for complex tasks like capital rotation. These systems are:

  • Not verifiable

  • Not monetizable

  • Not composable

Hubic enables an alternative: → AI agents that can be governed, tokenized, and proven. → Every DAO action is backed by zk-proofs. → Every model becomes a productive, traceable, and shareable digital asset.

This section walks through how a DAO can use Hubic to automate validator restaking decisions — while turning the underlying model into a Real World Asset.