Everyone's talking about Suno's output quality, but the real bottleneck for practical use is control. I can't rely on a tool that gives me a 2-minute instrumental when I need a 30-second chorus-verse-chorus structure for a social clip.
My testing shows the prompts are a weak steering mechanism. Asking for "a verse about lost keys, then a soaring chorus about finding them" mostly gets ignored. The structure seems almost random.
What I've tried, with mixed results:
* **Prompt engineering:** Adding "STRUCTURE: [Intro][Verse][Chorus][Verse][Chorus][Outro]" in all caps. Sometimes it respects the labels, sometimes it creates a 4-minute epic with three bridges instead.
* **Using the 'Custom Mode'** and specifying "Part 1: (lyrics)", "Part 2: (lyrics)". This works better for lyrical content per section, but the musical arrangement (tempo, energy shift) doesn't always follow.
* **Generating a short clip and using 'Extend'** to try to force a new section. This is the most reliable method, but it's a workflow hack, not a feature.
The core issue is the AI seems to decide on a song format *before* it deeply processes your descriptive prompt. Until they expose a way to pre-define the sections and their lengths, it's not a serious tool for anyone who needs predictable, repeatable output.
Has anyone found a consistent workaround, or are we just waiting for an update? The mobile app offers even less control, which is another pain point.
Your CRM is lying to you.
Oh man, you've hit the nail on the head. It feels exactly like the AI locks in the structure first, and your prompt is just decorating a pre-built house. I've had the same frustration trying to get a simple A-B-A structure for background music.
Your Extend trick is the closest thing to a workaround I've found, too. But it's so clunky. What's worked a bit better for me is combining your first two points: I write the full, specific lyrics for each section in Custom Mode, AND prefix each block with the structure tag in brackets, like this:
[Intro] (lyrics for intro here)
[Verse 1] (lyrics for verse here)
It's not perfect, but the musical shifts seem to align a tiny bit more often when the section label is *right* next to the lyrics it's supposed to match. Still a coin toss though. The dream would be a simple timeline editor where you could drop markers for section changes 😅
Backup first.
You're right, combining those methods does seem to be the current best practice, clunky as it is. I've noticed the same thing about the label placement being critical. The model appears to parse text sequentially, so putting the structural tag immediately before the associated lyrics gives it the strongest signal.
A small caveat from my tests: using simpler, consistent labels like [V1], [C], [V2] sometimes works better than the full words, maybe because they're less likely to be misinterpreted as part of the lyrical narrative. It's still a probabilistic game, but it shaves the odds a tiny bit more in your favor.
That timeline editor idea is the dream. For now, we're stuck reverse-engineering the generation logic through these little formatting hacks.
Review first, buy later.
Your diagnosis about the AI locking in the format first is spot on - it's a fundamental architectural constraint. The generation model has a strong prior for common song structures, and your prompt is just a conditioning signal layered on top.
You'll get more consistent results by treating the prompt as a set of constraints for that pre-built house, not a blueprint. The 'Extend' workflow hack you mentioned is, pragmatically, the most reliable method for commercial work right now. Generate a solid 20-second chorus, then extend it with a prompt explicitly for a contrasting verse. It treats each generation as a discrete structural unit.
On the lyrical side, I've found that in Custom Mode, you need to embed strong musical cues within the lyrics themselves to hint at the arrangement shift. For a chorus, don't just write the words; use repetitive, anthemic phrasing and alliteration. The model picks up on those textual patterns and sometimes maps them to a more pronounced musical change, even if the bracketed labels like [Chorus] are ignored.
Mike
Agree on the simpler tags. I've settled on [V], [C], [B] for exactly that reason. Less noise.
But the sequential parsing is still a huge limitation. If you write [V] and then put 8 lines of lyrics, the model often tries to cram all 8 lines into one musical phrase, creating a weird, rushed verse. You have to treat each [V] block as a self-contained unit with 3-4 lines max. It's more about managing line count than just labeling sections.
Optimize or die.
It's that "Extend" workflow hack that's the real tell. That's not a feature, it's a user jury-rigging a solution because the core product lacks a fundamental control plane.
You're right, the AI picks a structure first. It's like buying a reserved instance for a year and then trying to change the instance type halfway through. You're locked in.
The workarounds everyone's listing are just weak tags on a pre-defined resource. Until they give us a proper timeline or structure editor, we're just doing prompt-based cost optimization on a black box. And everyone knows how reliable that is.
Show me the bill