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

I help founders turn AI-generated music into a working release business — from production and artist positioning to distribution, metadata, royalties, and the economics behind it.
NIK McFLY · AI-MUSIC OPERATOR
Catalog results, updated August 2026. Valuation is an income-based estimate for the fully owned catalog, in line with independent buyer interest. Numbers and context →
The catalog only started working when the creative and operational sides were designed together.

Decide what you can release, how tracks move through review and distribution, how royalties are paid, and where the product earns.
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.
Paid market signal. A music-tech founder has already hired me to map distribution, royalties, and the catalog model for their product.
Flat-rate streaming calculators are a lie. After nine months of real payout data, I built howmuchperstream.com — a tool that accounts for audience composition, payout timing, and reverse goal planning.
How I used AI to generate 24 dashboard mockups, had another AI critique them all, and built a production design direction in under an hour.
How we share one Obsidian vault for an AI music label, two creative side practices, and a relationship — with self-hosted LiveSync on a cheap VPS, one Claude account between us, and a 6-zone folder structure that does the work boundaries used to.
The field notes are free. If you have a specific AI-music question, send it to me directly on Telegram.