HAiO Whitepaper
  • INTRODUCTION
    • What is HAiO?
    • Problem & Solution
    • Market Readiness & Growth Potential
    • Ecosystem
    • The New Wave of AI Music
  • AI Agents Overview & System Architecture
    • Technical Vision
    • System Architecture at a Glance
    • High-Level Architecture Diagram
    • Key Technical Components
  • Dapp
    • Rapid Expansion and Ecosystem Strengthening
    • HAiO Music
    • Live Diffuser
    • Chart
    • Playlist Agent
    • Human or AI
    • Tune AI
    • Upcoming Features & Developments
  • Agent-Fi
    • AgentFi Model
  • Revenue Engine & Agent Autonomy
  • Strategic Value
  • JOIN US
    • Participation Opportunities by Role
    • Premium Membership by Role (Coming Soon)
    • Why Invest in HAiO?
  • HAiO TOKEN
    • Tokenomics
    • Token Utility
      • Revenue Sharing (RS)
  • ROADMAP
    • ROADMAP
  • CONTACTS
    • Important Links
Powered by GitBook
On this page
  1. Dapp

Tune AI

PreviousHuman or AINextUpcoming Features & Developments

Last updated 14 days ago

Collaborative AI Optimization with Incentivized Feedback

Tune AI is a participatory evaluation system that allows users to assess and improve the quality of AI-generated music and playlists while earning rewards. This feedback loop not only enhances the underlying AI models but also actively involves the community in shaping the content ecosystem.

Core contribution areas include:

  • Error Detection: Identifying anomalies or quality issues in AI-generated tracks.

  • Tag Optimization: Enhancing metadata accuracy for improved discoverability and contextual alignment.

  • Playlist Suitability Assessment: Evaluating how well songs match the intended theme, mood, or genre of a playlist.

  • Ongoing Contribution Modules: Additional evaluation points, such as mood consistency or audio transitions, may be introduced over time.

By aligning incentives with curation quality, Tune AI establishes a community-powered quality assurance system that continually refines the performance of HAiO’s AI Agents. It transforms passive listeners into active ecosystem contributors, fostering trust, transparency, and collective advancement in AI-generated music.