If you're aiming for better results with Suno AI, try being super specific with your prompts. Instead of just saying 'rock song,' mention things like tempo, instruments, or even the vibe of a particular album from a band. The more details you give, the more accurate the output.
One thing I've noticed is that Suno AI works best when you break things down step by step. Start with generating a melody or beat first, then layer in lyrics afterward. It seems to handle structure better that way, rather than trying to do everything at once.
Don't underestimate tweaking the lyrics manually after Suno AI generates them. The tool’s good at creating the framework, but it still needs that human touch to bring the lyrics to life. Think of it like a songwriting assistant rather than the whole package.
Pro tip: If you want Suno AI to nail a specific artist’s style, feed it examples of their work beforehand. The AI seems to learn context better when it has clear references to pull from. It’s like training it to recognize the signature elements of their sound.
One trick I’ve been using is combining Suno AI with other AI tools for mastering and sound quality improvement. Suno gets the creative foundation laid, and then I polish it off with something like LANDR or Ozone to get that studio-quality finish.
"Keep in mind that Suno AI has a bit of a learning curve. The more you work with it and fine-tune your inputs, the better the results. It’s not perfect out of the gate, but with some patience, you can coax some pretty solid stuff out of it.
ULLO4599 Sept. 27, 2024, 11:19 a.m.
It’s surprisingly decent for creating generic pop songs. I asked for a Taylor Swift-style breakup anthem, and while it didn’t hit those Swiftie-level lyrics, it was catchy enough.