songAy

songAy is a fictional digital music platform created to illustrate contemporary approaches to streaming, discovery, and social sharing. The project emphasizes AI-assisted tagging, mood-aware recommendations, and transparent relationships with rights holders, while prioritizing user privacy and cross-device access.

Core features include on-demand streaming with multiple audio quality tiers; AI-driven playlist curation that adapts to listening history and inferred mood; collaborative playlists; lyrics display; offline listening; and social features such as following, commenting, and sharing playlists.

Technical approach centers on a scalable cloud infrastructure and machine learning models that analyze audio features, genres, tempo, and mood to generate recommendations. The platform supports standard streaming protocols and interoperates with external apps via open APIs. Licensing in the fictional narrative is described as a rights-friendly model that routes royalties to creators based on usage, with transparency dashboards for rights holders and users.

Reception in the fictional case highlights benefits such as improved music discovery and creator engagement, while noting challenges related to algorithmic transparency, potential bias in recommendations, and the need for robust privacy protections.