These prompts and section cues are suggestions to compare, not a documented model test or a guarantee. Responses can vary by model, interface and take; listen to the complete result before using it.
Mistake 1 — Vague wishes
“Make a cool song” leaves your intended genre, mood and arrangement unspecified.
Fix: Always include genre + mood + vocal (or instrumental) + one production vibe.
Mistake 2 — Putting lyrics inside Style
Style is for sound. Lyrics (with [Verse] / [Chorus]) belong in the Lyrics field.
Fix: Split fields. If your UI has only one box, separate them with a clear divider and keep structure tags with the words.
Mistake 3 — Novel-length Style prompts
A long list makes it harder to identify conflicting directions or track which change helped. Keep only the instructions relevant to this song.
Fix: Aim for roughly 5–10 strong ingredients. Genre first.
Mistake 4 — Contradictory moods
“Calm aggressive dreamy hype” forces the model to guess.
Fix: Pick one primary mood and optional energy arc (building intensity).
Mistake 5 — Artist-name roulette
Named artists can be inconsistent, restricted, or produce generic “inspired by” mush.
Fix: Describe era + vocal character + arrangement instead of a celebrity name.
Mistake 6 — No structure tags
If you need distinct sections, [Verse] / [Chorus] can make your intended form explicit.
Fix: Use a minimal skeleton every time. See the lyrics structure tags guide.
Mistake 7 — Overstuffed choruses
If a chorus sounds rushed, try fewer words before changing the whole arrangement.
Fix: 2–4 chorus lines with a repeated title phrase.
Mistake 8 — Changing everything between generations
If take B is better, you will not know why.
Fix: Change one axis: genre or vocal or one lyric section.
Mistake 9 — Ignoring instrumental intent
Wanting BGM but forgetting to suppress vocals yields surprise singers.
Fix: Use instrumental / no-vocals cues intentionally. See instrumental prompts.
Mistake 10 — Never locking a winning Style line
You rediscover the same prompt every session.
Fix: Save winning Style strings in a note or rebuild them in the prompt builder.
A “clean take” checklist
- Genre is specific (
synth-pop, not onlypop) - Mood is singular
- Vocal character is stated (or instrumental is intentional)
- Style and lyrics are separated
- Structure tags exist
- Chorus is short
- Only one variable changes this render
Run the checklist on a real take
Run the checklist, then generate in the workspace you use. Keep the prompt, settings and a short listening note for each take so you can compare what changed.
An unwanted result can reflect the prompt, source material, settings or model limitations. A clearer brief helps comparison but does not guarantee a usable track.
FAQ
Why does Suno ignore half of my prompt?+
The prompt alone cannot establish why a result missed your intent. Remove conflicting directions and compare a shorter brief; check the current field limit in your interface.
Is a poetic scene description useful?+
As atmosphere, maybe. As the only instruction, no. Convert scenes into genre, mood, instruments, and vocal cues.
How many things should I change between takes?+
One. If you rewrite everything, you cannot learn which word caused the win.


