AI Music Workgroup

Suno AI Experiments & Status Update

A Note on Pacing

In this world, things change FAST. Workflows that were cutting-edge a month ago are often obsolete by the next update cycle. Please understand that the archives below are snapshots in time. Thank you for your patience as we adapt to the tools.

Project Status

A comprehensive Final Update regarding these experiments and the resulting methodologies is currently in the works. In the meantime, I have compiled a specific guide for one of the most powerful current use cases: Remixing and Covers.

Check out the Remix/Cover Prompting Guide

Archived Workflow: The Gemini Prompting Method

While the audio examples have been archived to make room for new content, the core logic of using an LLM to drive the music generator remains a foundational skill.

The Process

  1. Choose a target artist/song for stylistic inspiration.
  2. Ask Gemini to analyze the song's key musical and production elements.
  3. Instruct Gemini to generate a 1000-character, comma-separated prompt from its analysis.
  4. Copy and paste the prompt directly into Suno.

Typical Settings

~85%
Style Influence
~50%
Audio Influence

Enduring Principles

Unlocking the Archive

For composers, this remains a breakthrough for processing vast archives of demos, voice memos, and snippets. The primary value isn't for final release, but for rapidly creating cohesive arrangements and discovering inspirational creative choices.

The Future is an AI DAW

The new in-app editors are clear indicators of a future, fully-featured AI-based Digital Audio Workstation that will likely become best-in-class very quickly.