Omniminds.ai
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  • 1. Executive Summary
  • 2. Introduction: The Need for Human-Taught Automation
    • Understanding Computer-Use Agents (CUA)
  • 3. Core Principles & Mission
  • 4. Who Are We
    • Demonstration-Based Agent Training
    • Crowdsourced Agent Ecosystem
    • Agent Marketplace
    • No-Integration Automation
    • Tokenized Incentives & Compute Infrastructure
    • Scalable AI Model for Businesses and Corporations
  • 5. Products and Features
    • Product Demo
  • 6. Demonstration-Based Training System (The Dojo)
    • The Philosophy: Learning by Doing
    • How the Arena Works
    • Why Demonstration-Based Training Is Transformative
  • 7. Ecosystem Participants
    • How the Ecosystem Works
  • 8. Token Utility and Economics
    • Core Token Functions
    • Dojo Creation & Reward Funding
    • Membership Tiers
    • Agent Execution Economy
    • Progressive Staking & Feature Unlocks
    • Activity-Based Rewards & Competitive Tiers
    • Enhanced Reward Mechanics
    • Revenue Model & Sustainability
    • Token Demand & Anti-Sell Pressure
    • Tokenomics Breakdown
  • 9. Use Cases and Applications
    • Enterprise Workflow Automation
    • SMBs and Solo Operators
    • AI-to-AI Coordination (Multi-Agent Workflows)
    • Education and Personal Productivity
  • 10. Roadmap and Vision
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  1. 5. Products and Features

Product Demo

Omniminds Desktop Demo
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Last updated 8 days ago