Make releases people can recognize.
- production direction and sound
- artist position and visual story
- release rhythm and catalog shape
AI-MUSIC · FROM TRACK TO ROYALTY
The hard part starts after the track is made.
I help AI-music founders and product teams turn tracks into release systems that handle artist positioning, distribution, metadata, royalties, and catalog economics.
80+catalog releases
20M+streams
$60K+revenue
Explore the strategy session →90 minutes · $800 · written launch plan
See the catalog system ↓NIK McFLY · AI MUSIC FOUNDER & OPERATOR
Co-founded venture results, updated August 2026. Revenue, not personal income or profit; figures are rounded public totals.
Music earns attention. The system turns it into a business.
As AI makes production cheaper, taste, curation, and the system behind each release become the real advantage. The catalog only started working when the creative and operational sides were designed together.
CATALOG PROOF
The result is visible in the dashboards.
The screenshots show the platform royalties and stream counts behind the public catalog totals.
- Platform royalties shown
- $57,757.11
- Streams across platforms
- 20M+
- Catalog releases
- 80+
Co-founded venture results, updated August 2026. Total catalog revenue also includes licensing and other revenue; figures are not personal income or profit.
Read the full catalog case →
Make every release work as a business asset.
- distribution rules and metadata
- royalty tracking and payments
- costs, payout rates, and growth decisions
Two ways into the same problem.
FOR MUSIC AND AI PRODUCTS
→Add distribution to your product.
Decide what you can release, how tracks move through review and distribution, how royalties are paid, and where the product earns.
FOR CREATORS, FOUNDERS & LABELS
→Build an artist or catalog from scratch.
Shape the music and artist, plan the releases, understand the economics, and launch a catalog you can grow.
WORK WITH ME
Leave with a business model you can launch.
In one focused session, we choose the model, work through platform and rights risks, map costs and workflow, and define the smallest useful launch.
Already used in practice. A music-tech founder hired me to map distribution, royalties, and the catalog model for their product.
Built from the work, not from theory.
CATALOG CASE
We Built a Potential $500K AI-Music Catalog. The Prompt Was the Easy Part.
How 80+ releases, 20M+ streams, $60K+ in catalog revenue, and income-based scenarios support a qualified $250K–$500K back-catalog range.
FIELD NOTE
Three Ways People Are Making Money With AI Music — and How to Test Each One
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.
FIELD NOTE
Seven Public AI-Music Revenue Cases: What They Earned and How They Grew
Seven operators publicly reported AI-music income. This comparison separates their revenue, promotion, software, distribution, and missing evidence.
NOT READY FOR A SESSION?
Start with the notes — or ask one concrete question.
The field notes are free. If you have a specific AI-music question, send it to me directly on Telegram.