10 TIPS FOR BETTER AI MUSIC PROMPTS

Don't just say "electronic." Say "deep house with a rolling bassline" or "atmospheric drum and bass with ambient pads." The more specific your genre description, the more focused the output.

Music is about feeling. Include emotional descriptors: melancholic, euphoric, aggressive, dreamy, nostalgic, uplifting, haunting. This shapes the melody, harmony, and arrangement more than any other factor.

Name the instruments you want to hear. "Piano, strings, and a subtle beat" gives completely different results than "distorted guitar, heavy drums, and screaming vocals."

BPM matters. "Slow" vs "fast" is too vague. Try "80 BPM, laid-back groove" or "170 BPM, high energy." This directly controls the pace of the entire track.

If your track has vocals, be specific: "breathy female vocals," "deep raspy male voice," "choir harmonies," "spoken word poetry." The vocal description has a huge impact on the result.

"80s synth-pop" sounds very different from "modern synth-pop." Adding a time period gives the AI a reference point for production style, instrument choices, and mixing approach.

Want it lo-fi or polished? "Bedroom recording quality, tape hiss, warm" vs "crisp, modern, studio-polished production." This changes the entire texture of the output.

Sometimes what you don't want is as important as what you do. "No drums," "no vocals," "no guitar solo" can help refine the output when previous generations included unwanted elements.

Put the most important elements first: genre, then mood, then instruments, then vocals, then extra details. This helps the AI prioritize what matters most to you.

Your first prompt won't be perfect. Generate, listen, adjust, repeat. Every generation teaches you what the AI responds to. Keep a note of prompts that worked well — they're reusable templates for future tracks.