Make releases people can recognize
- production direction and sound
- artist position and visual story
- release rhythm and catalog shape

I help AI-music founders and product teams turn tracks into release systems that handle artist positioning, distribution, metadata, royalties, and catalog economics
AI made production cheaper. The advantage now is taste, curation, and a release system that works
$57,757 in platform royalties
20M+ streams across two distributors · 80+ releases


The music side creates recognizable releases. The operating side gets them distributed, tracked, and paid. Together they turn repeated releases into a business asset that can keep earning

Choose the right tracks, release them on streaming platforms, set up metadata and royalties, and build a catalog you can grow
Shape the music and artist, plan the releases, understand the economics, and launch a catalog you can grow
In one focused session, we choose the model, work through platform and rights risks, map costs and workflow, and define the smallest useful launch

How 80+ releases, 20M+ streams, $60K+ in catalog revenue, and income-based scenarios support a qualified $250K–$500K back-catalog range
AI-music income is already coming from artist brands, long-form YouTube channels, and multi-artist catalogs. Here is how each model works and how to test it
Seven operators publicly reported AI-music income. This comparison separates their revenue, promotion, software, distribution, and missing evidence