Program the block
Use metadata, tags, mood, and listening context to assemble radio sets that feel intentional instead of shuffled.
/ AI Radio
A living broadcast system for music libraries that want to keep moving.
AI Radio is an experiment in turning a music library into programmed listening blocks, generated station voice, and automated broadcast flow. The goal is not to replace a DJ. The goal is to help a collection become a strange, curated, always-moving station.
What it is
A radio layer for catalogs, labels, artists, and odd collections.
Most music sites behave like shelves. AI Radio asks what happens when a catalog can sequence itself, speak between songs, and build listening blocks around mood, context, and the shape of the collection.
The experiment can connect to label sites, live streams, archive projects, and artist catalogs that need more than a static player.
Experiment directions
Broadcast automation with a human ear still in the room.
Give the station a voice
Generate intros, outros, commentary, and station IDs that make the broadcast feel alive without flattening the music.
Listen to the library
Analyze uploaded tracks, infer useful metadata, and organize the catalog into sets, moods, and recurring broadcast ideas.
Connect the signal chain
Explore how automation can prepare tracks, update titles, route audio, and support streaming workflows.
/ In progress
What if a music archive could become a station?
Future prototypes may explore generated commentary, playlist intelligence, station scheduling, stream titles, metadata extraction, and automated show blocks for labels and artists.