Do you actually own your AI music? The answer might surprise you.

In this episode, I break down the legal reality of AI-generated content — what the US Copyright Office has said, why your "hit song" might not be protectable, and the hybrid workflow that establishes real human authorship.

You'll learn:

• Why prompts aren't copyrightable
• The "Human Moat" concept
• The Studio-First Method for creating protectable work
• Why sync deals and royalties depend on documented authorship

This isn't legal advice. But it is the reality of building a catalog in 2026.

The full Studio-First Method is in my book Unlock Suno: Studio Edition.

Books & resources: jgbeatslab.com/music-books

These are the tells that make curators hit "decline" in 3 seconds.

In this episode, I walk through the 5 most common mistakes I hear as a Submithub curator — and exactly how to fix each one.

The mistakes:

1. The Robotic Vocal
2. The AABB Rhyme Curse
3. Singing the Tags
4. One-Shot Obsession
5. Choosing Instrument Over Vocal

Homework: Go listen to your last release. Which of these five did you commit? Be honest.

Books & resources: jgbeatslab.com/music-books

Most AI music isn't bad because of the AI. It's bad because the person using it doesn't know what they're doing.

In this episode, I break down why the "slot machine" approach to AI music is killing your output — and what separates the 10% who sound professional from the 90% who sound like garbage.

You'll learn:

• Why extending a "7 out of 10" track is a waste of credits
• The mindset shift from gambler to director
• The Golden Seed Method for finding tracks worth keeping

If you're tired of burning credits on music you hate, this episode is for you.

Books & resources: jgbeatslab.com/music-books