AI-Generated vs AI-Assisted Music
The terms sound simple but every organisation defines them slightly differently. Here is what the distinction actually means for a working producer, and how to document your process.
How AI fits into a real production workflow — where it saves hours, where it gets in the way, and how to keep the result sounding like you.
The terms sound simple but every organisation defines them slightly differently. Here is what the distinction actually means for a working producer, and how to document your process.
Generation gets you a finished-sounding sketch in seconds. What happens in the hours after that — arrangement, editing, gain staging, low-end control and mix prep — is what actually moves a track closer to sounding more polished.
A source-by-source breakdown of how distributors and streaming services currently handle AI-involved music: what's accepted, what must be disclosed, and what to check before you submit.
What music credits and metadata are, how AI disclosure fields work today, and where the industry is still building voluntary standards rather than settled rules.
Everything a working producer needs to know about AI in 2026 — what the tools genuinely do well, where they fall apart, and how to build a workflow that still sounds like you.
AI stem separation pulls vocals, drums, bass and instruments out of a finished mix. Here is how the models work, what quality to expect, and how to build separated stems into a usable production.
Neither replaces the other. Here is exactly where AI saves you hours, where a trained ear still beats it outright, and how to combine both without your track sounding like either extreme.
Three different technologies get called "AI vocals" and they solve different problems. Here's what each one actually does, and how to write, process and clear a vocal that survives contact with a real dancefloor.
The honest answer is no, not by itself. But AI can genuinely rescue specific stuck points — a dead loop, a missing drop, a mix that won't glue — if you know which jobs to hand over and which to keep.
The recurring, easily-fixed errors that separate a track that happens to use AI from a track that sounds like it was never touched by a producer.