How it was made

AI is a tool. Here's the whole workshop, no tricks: what I bring and what the machine brings.

Who brings what

MeThe machine
The idea and the theme of every songNothing. No idea, no song.
The lyrics: I write them, correct them and decide how they end upCorrects, suggests, and sometimes guides me when all I have is the idea
The sound in my head, the references, the directionGenerates audio following that direction
The voice: the model is trained on my real voice, in several timbres and nuancesSings with that voice
Listening, discarding and picking the takeAnother take. And another. And another.
Changing parts, verses and how it should soundRedoes what I ask
Track order, the covers I approve, what gets releasedResearches, drafts images and checklists

It all starts with an idea

It all starts with the idea I want to get across. If one day I want to talk about eating corn flakes for breakfast, I write about corn flakes. AI has nothing to say about my corn flakes. I do.

I write the lyrics in Spanish. AI helps me correct and update them; sometimes I only have the idea and ask it for guidance, then I correct until it says what I meant. I have skills I built myself for that: to correct, to guide and to kick off generation.

The sound is in my head first

I think of something close. Nirvana's "Downer", for example: I have that sound in my head before the song exists.

I play guitar to hear a chord or a progression. If I want to guide how the lyrics should sound, I hum them. Then comes direction: it is a sarcastic song, I want it to sound weird, I want to mix rap, disco and even reggaeton. Yes, reggaeton. Breathe.

The voice is mine. Really mine… but it sings prettier.

It isn't a copy or a recording of me pasted on top. Suno starts from its own model and trains it on my voice. The custom model (TheNoNameWay) wasn't trained on songs I had already made: it was trained on my real voice, recorded in different timbres and nuances. That's why it ends up deeply anchored to how I sing.

On top of it go the voices I trained in Suno, each with its own character:

SilverTable: named that because I sang "Ana's Song" by Silverchair, another grunge band I love, to record it. It is the voice of El Hermoso Caos. Armand Bianco: the raspy, somewhat deep one, the "Rape Me" one. Chrnx: the ups and downs, Billie Joe Armstrong style. Oh yes: punk.

That's why it sounds so much like me: it is trained on my voice, in layers. The machine does not invent who sings; it just stays in tune better than I do.

I made the record with Suno v5.5. Today it is on v6, and 5.5 has been discontinued: that is how fast the tool moves.

Generate, listen, discard, repeat

It can be 4 takes, it can be 10. Then more come, like covers of the same song. And I listen with a checklist in my head:

Does it have the weirdness I want? Does the voice sound odd in falsetto? Does it sound raspy? Sarcastic? Does it express the feeling? Is it Drop D or close to it?

And even then, I will most likely make another 10. If a verse or a part does not land, I change it, or change how it should sound.

Editing and mastering

Sometimes Logic Pro on the Mac, sometimes Suno Studio, sometimes code. All 13 tracks of El Hermoso Caos went through Suno Studio 2.0, and each one was loudness-checked before upload.

"Julieta" ended up about 4 dB louder than the rest of the record. On purpose: it is the song's fury. Not everything gets flattened to please a number.

Scrum with distortion

I plan a record and plan which songs to write. I use AI for brainstorming, planning and my skills. Every song lives in git, in its own worktree, like a code branch: it gets tested, reviewed and merged when ready.

The other AIs

Claude for research (and to build this site with me). Codex for images, covers and guides, like the DistroKid one.

Basically: cutting down the anxiety of not having a clear guide. For a brain like mine, a clear guide is not a luxury; it is the difference between finishing a record and leaving it in the to-do folder.

Obsessive about detail: from one record to the next

With every record, the direction of each song gets more obsessive. Look at the difference in how I ask the machine for a chorus.

Tu Bullying me la pela

El Hermoso Caos · Downer variant · Suno v5.5

How the chorus is requested:

[Chorus]
[Screamed]
[Raw]
  • One style line: genre, era and tempo.
  • One-word tags per section.
  • Three versions of the song (Downer, hybrid and stadium cover) and a Logic Pro project.
  • Pronunciation notes: if "bullying" sounds off, spell it "bulin".

You Are So Cool

What comes next · Suno v6

How the chorus is requested:

[Chorus | Explosive Mockery | Raspy Shouted Lead with Gang Replies | Distorted Guitar Wall, Groovy Bass, Open Crash Drums | Full Dance-Punk Release | Saturated Live-Room Grit]
  • A style paragraph with the whole arc: it starts soft and "stylish", explodes on every chorus, the bridge drops to bass and percussion, and the ending comes out wider, louder and uglier, into feedback. 132 BPM.
  • Every section states emotion, voice, instruments, dynamics and texture.
  • A separate list of 25 things it must not sound like: autotune, glossy pop, quantized drums…
  • Two stages: first an exploration with no voice assigned to find the groove; then a cover with TheNoNameWay on v6 so it sounds like The No Names again.
  • Concept notes: the first verse never names the trend it mocks; the poses give themselves away before the chorus drops the insult.

None of that is decided by the machine. I decide it, line by line.

For whoever is shaking

You are so cool
Like a billboard selling empty space

From a song that is coming: "You Are So Cool".

If a person who sees the world differently makes you shake for using tools, that says more about you as a musician… or maybe about the dollar sign in your music.