User Guides
Create, troubleshoot, and finish AI-assisted music without needing a machine-learning background. This path focuses on audible results, repeatable workflows, and plain-language explanations.
Follow the path
Work through the guide in three stages. Each stage produces something useful before you move to the next.
1. Understand and direct
- AI Music in Plain Language — understand what the tools do and where their limits come from.
- Prompt Engineering Guide — write clearer prompts for instruments, structure, production, and vocals.
2. Produce and diagnose
- Production Workflow — move from a track brief to an organized delivery.
- Troubleshooting Generation — diagnose weak or inconsistent results one variable at a time.
3. Finish and release
Continue with Mixing AI Outputs and Quality Control and Delivery, then review:
- Responsible Use — make informed decisions about attribution, consent, and release practices.
Choose by goal
| I want to… | Start here |
|---|---|
| Write a stronger music prompt | Prompt Engineering Guide |
| Prompt for a specific genre | Genre-Specific Prompting |
| Direct a vocal performance | Vocal prompting and Vocal Synthesis |
| Fix a weak generation | Troubleshooting Generation |
| Mix or separate an output | Mixing AI Outputs and Stem Separation |
| Work inside a DAW | DAW Integration |
| Compare well-known models | Model Zoo |
Technical terms are introduced only when they help explain a practical decision. Readers who want implementation details, equations, model design, or training workflows can switch to the Engineering Docs.