Tune AI
Last updated
Last updated
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.