Master Suno v3.5: A Guide to Simplified Prompting

Are you finding it challenging to get professional-sounding results from Suno AI v3.5? You're not alone. Often, the key isn't adding more complexity to your prompts, but simplifying them with a structured approach. This guide will walk you through two powerful methods to refine your prompts and elevate your music creations.

Method 1: Crafting the Perfect 'Style of Music' Prompt

The Style of Music box is your primary tool for defining the sonic identity of your track. Instead of throwing random terms at it, use a consistent formula to guide the AI with precision.

The Formula: decade, genre, subgenre, country, vocalist info, music descriptors

Best Practices:

• Vocals: Use simple terms like male vocals or female vocals.
• Casing: Keep everything in lowercase, except for the country name (e.g., UK, USA).

Here’s how it looks in practice:

2010s, metalcore, progressive metal, UK, male vocals, heavy riffs, melodic elements, intricate drumming, atmospheric

This structured prompt gives Suno a clear roadmap, covering the era, genre, origin, and specific musical characteristics you're after.

Method 2: Supercharge Your Lyrics with Production Metadata

To achieve a polished, high-fidelity sound, you can embed production notes directly at the top of your lyrics box. This tells the AI exactly what kind of audio quality you expect.

For Songs with Vocals: Use this template to aim for a clean, modern mix.

[Produced by xxx and xxx][Recorded at xxx and xxx][hyper-modern production with clear vocals, no autotune, Dolby Atmos mix, high-fidelity, high-definition audio and wide stereo]

For Instrumental Tracks: For instrumentals, simply remove the vocal-specific tags and add an [Instrumental] tag.

[Produced by xxx and xxx][Recorded at xxx and xxx][hyper-modern production, Dolby Atmos mix, high-fidelity, high-definition audio and wide stereo][Instrumental]

Putting It All Together: Examples in Action

Let's combine these two methods to emulate specific artist styles.

Example 1: Architects

• Style of Music: 2010s, metalcore, progressive metal, UK, male vocals, heavy riffs, melodic elements, intricate drumming, atmospheric
• Lyrics Metadata: [produced by Dan Searle, Josh Middleton and Nolly][recorded at Middle Farm Studios, Brighton Electric, and Treehouse Studios][hyper-modern production with clear vocals, no autotune, Dolby Atmos mix, high-fidelity, high-definition audio and wide stereo]

Example 2: Dream Theater

• Style of Music: 1990s, progressive metal, USA, male vocals, complex compositions, virtuosic instrumentation, extended solos, dynamic
• Lyrics Metadata: [produced by John Petrucci, Mike Portnoy, and Kevin Shirley][recorded at BearTracks Studios, Cove City Sound Studios, and The Hit Factory][hyper-modern production with clear vocals, no autotune, Dolby Atmos mix, high-fidelity, high-definition audio and wide stereo]

Advanced Tip: Structuring Your Song with Lyric Tags

Beyond production notes, you can use structural tags within your lyrics to define the song's arrangement. This helps the AI understand the flow from verse to chorus and beyond.

Common Structural Tags:

• [Verse], [Chorus], [Bridge], [Intro], [Outro]
• [Hook] or [Motif] for a recurring, catchy musical idea.
• [Ostinato] for a section with a persistently repeated phrase.

Creative & Advanced Tags:

• [Act I], [Act II]: Great for building narrative arcs in longer, more complex songs.
• [Antecedent], [Consequent]: A musical way to think about a call-and-response structure, like a verse and pre-chorus.
• [Tag]: Use this for a repeated final line at the end of a song.

Final Pointers for Success

1. Maintain Consistent Line Lengths: Suno often performs best when lyrics are grouped into four-line stanzas. Try to structure your sections in multiples of four to prevent awkward phrasing or timing.

2. Customize Your Production Style: The hyper-modern production tag is just a starting point. If you're making punk or lo-fi hip-hop, try raw production or lo-fi production to match the genre's aesthetic.

3. Experiment and Iterate: The best results come from experimentation. Test different combinations of prompts, tags, and structures. Keep a record of what works so you can refine your unique prompting style over time.