The brief
One paragraph: what the song is for, who hears it, what feeling it must land, and any hard limits — length, language, energy. Written before the first generation, consulted before every judgment.
the method behind the magic
How to Make AI Music: A Method That Survives Contact with Real Projects
Anyone can generate a song. This guide is about generating one worth keeping — a repeatable process from first brief to published track.
the method behind the magic
Five stages, one discipline
Anyone can generate a song. This guide is about generating one worth keeping — a repeatable process from first brief to published track.
AI music fails in predictable ways: aimless prompts, takes chosen on first impressions, edits that erase what worked, and releases that skip the rights check. The method here addresses each stage in order — brief, generate, select, finish, clear — and each stage produces something concrete the next one uses.
You don't need theory or gear, but you do need standards. Decide what the track is for before you make it, and let that purpose judge every take. Purposeless generation produces content; purposeful generation produces songs.
The three documents of a serious session
The take log
A running note of what each generation changed and what resulted. Two lines per take is enough to stop you from re-running experiments you already lost.
The release checklist
Rights confirmed, license tier verified, quality checked on real playback devices, files exported in the formats the destination needs. Boring, and the difference between a hobby and a catalog.
The five stages in practice
Move through them in order. Skipping ahead — usually straight from idea to mass generation — is where projects quietly die.
- 1
Brief, then generate narrow
Write the paragraph, translate it into a prompt with two or three hard constraints, and produce a first small batch. Resist generating twenty takes; you can't listen to twenty takes honestly.
- 2
Select against the brief
Play candidates fully, at matched volume, judging against the brief's purpose — not against which intro is flashiest. Log why the winner won; that reason steers the next iteration.
- 3
Finish and clear
Take the winner into editing: extend a short section, split stems for a remix, cut a video. Then run the release checklist — rights, license, formats — before it goes anywhere public.
The method, applied
A first single
Brief the song's story, iterate lyrics and generation together, and treat the final listen-through as a producer's sign-off, not a formality.
A content library
Batch briefs by mood and length, generate against each, and log settings so next month's episodes match this month's sonic identity.
A client deliverable
Put the brief in the client's words, present two selected takes with the reasoning, and keep the take log as your revision-round insurance.
Where beginners lose the thread
Confusing speed with doneness
A song generated in ninety seconds still deserves an honest edit pass. Speed moved the starting line, not the finish line.
Iterating everything at once
Changing prompt, model, and style together tells you nothing when the result improves. One variable per run is slower per step and faster to a keeper.
Treating rights as an afterthought
Check your plan's license before release, confirm any uploaded source material was yours to use, and keep records. Ten minutes now versus a takedown later.
Questions from people starting out
Do I need musical knowledge to follow this method?
No — the method replaces theory with purpose. Knowing what the track is for and listening honestly against that purpose gets you most of the way. Musical vocabulary just makes your briefs more precise over time.
How many takes should I generate per song?
Fewer than you think. Three or four deliberate runs with logged changes typically beat a dozen unfocused ones, because each run teaches you something you apply to the next.
Can AI music really be released commercially?
Yes, on the right plan and with clean inputs. Verify the commercial license on your tier, make sure any source audio you uploaded was cleared, and follow each platform's disclosure rules where they exist.
What separates good AI music from obvious AI music?
Selection and finishing. Obvious AI music is a first take published unedited; good AI music was chosen from alternatives for a reason, then tightened — structure trimmed, ending fixed, loudness checked — like any other production.
Run the method on a real idea
Pick a track you actually want to exist, write the one-paragraph brief, and take it through all five stages this week.
Start the first brief