Suno prompt tuning still feels random
A Reddit user says Suno starts acting unpredictably after many prompt iterations, including one track that came back a minute longer and without lyrics. The thread reflects a common Suno theme: prompting helps, but it does not fully tame model drift or output inconsistency.
AI music generation is good enough now to create a new kind of frustration: you can get something close, but not reliably repeat it. Suno looks powerful for ideation, yet the community still treats consistency as a workflow problem rather than a solved model feature.
- –Product Hunt reviewers praise Suno for speed and quality, but they also point out that exact genre control and repeatable results are still uneven.
- –The Reddit replies lean toward a production workflow: extend, remix, and edit the best sections instead of endlessly re-prompting from scratch.
- –A longer instrumental-only output is a reminder that generative audio is probabilistic; the model is steering a distribution, not following a deterministic spec.
- –For creators, the differentiator may be post-generation discipline and iteration strategy, not just writing a more detailed prompt.
DISCOVERED
45d ago
2026-04-24
PUBLISHED
45d ago
2026-04-24
RELEVANCE
AUTHOR
Alarmed_Somewhere791