songwriting-and-ai-music

Combine genre, mood, era, instruments, vocal style, production, and dynamics in the style field, and describe the song's dynamic journey rather than just listing genres. Avoid artist names and trademarks; describe the sound instead, such as "1960s Cold War spy thriller brass" instead of "James Bond style."

Map the original song's syllable counts, rhyme scheme, and stressed syllables first, then match new words to the same stress patterns. On held notes, match the original vowel sound, and use monosyllabic swaps in key spots to keep the rhythm intact.

Suno supports bracketed metatags for structure like [Verse], [Chorus], and [Bridge], vocal performance tags like [Whispered] and [Belted], dynamics tags like [Building Energy], and atmosphere tags like [Melancholic]. Keep to 5-8 tags per section and avoid contradictory tags in the same section.

AI vocalists pronounce text literally, so unusual spellings, proper nouns, numbers, and acronyms often fail. Fix this by phonetically respelling words, spelling out numbers, spacing acronyms like "A I", and testing problem words in a short clip before full generation.

Expect roughly 3-5 generations per one good result, treating each output like a recording take. Use Extend or Continue to build on promising sections, and restate genre and mood when extending since style can drift.