Artist discovery
The experiment explores how public music and audience signals could help a small label notice emerging artists, scenes, and sounds earlier.
/ Green Wrecks AI A&R
A living record label site that listens for what should be heard next.
Green Wrecks AI A&R is an early experiment in making a record label site feel alive. The concept explores how AI can help discover emerging artists, recommend music through personal taste, and keep the label experience moving between releases.
What it is
A record label interface for discovery, taste, and momentum.
Most label sites behave like archives: releases, bios, links, and news. Green Wrecks AI A&R asks what happens when the site becomes an active listener — watching for signals, shaping recommendations, and helping the label find new artists to pay attention to.
The goal is not to replace the human ear. The goal is to give the label a living system that can surface possibilities, organize listening paths, and make the catalog feel personal for each visitor.
Experiment directions
A small label with a larger listening system.
Taste-aware recommendations
Listeners could receive music suggestions shaped by their own preferences instead of a generic front page or static catalog.
Living label site
The site could adapt over time, changing featured artists, releases, notes, and listening paths based on activity and context.
AI A&R assistant
A label-facing assistant could prepare scouting notes, artist summaries, campaign ideas, and outreach drafts for human review.
/ In progress
What if a record label website could scout, recommend, and reshape itself around the listener?
Future prototypes may explore AI scouting reports, taste-based music recommendations, personalized site layouts for logged-in users, and label tools for reviewing potential artists before any outreach happens.