Organize Your AI Music Catalogue in 7 Days
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Academy → Milestone 4 → Free Path
Public execution path
Organize Your AI Music Catalogue in 7 Days
Turn scattered songs and duplicate exports into a working catalogue with clear versions, statuses, files and priorities.
Start Day 1Member Validation PathBring these records from Milestones 1–3
- Artist Identity Record and audience promise
- Signature Sound System and variation boundaries
- Brand language, disclosure and visual rules
- Current folder and filename conventions
- Every serious song, lyric, artwork and source record you can locate
Seven-day operating rule
Work with the catalogue you actually have. Do not improve every song during this milestone. Organize first, decide second, and reserve repair work for tracks that survive the comparison.
Inventory
Build the Master Catalogue Inventory
Search every serious storage location and record one row per song concept, not one row per export.
Required work
- Working and approved title
- Artist or project
- Song ID or parent record
- Current file or platform location
- Date created
- Primary creation tool
- Current status
- Notes and missing material
Give every active item one clear parent record and one next action where applicable.
Versions
Separate songs from versions
Create one parent song record and link all generations, remasters, instrumentals, clean edits, extensions and obsolete exports beneath it.
Required work
- First generation
- Selected generation
- Lyric revision
- Extended or remastered version
- Instrumental or clean version
- Alternate mix
- Final candidate
- Superseded or unidentified file
Identify the current version and explain why it has authority over the alternatives.
Fit
Assign artist and catalogue fit
Compare each song with the Artist Identity Record, Signature Sound System, Brand System and approved variation boundaries.
Decision labels
- Core catalogue
- Compatible variation
- Revise for artist fit
- Separate project
- Separate artist
- Hold
- Archive
- Reject
Every song receives one decision and one evidence-based reason.
Status
Score development status
Separate creative promise from completion and give each active song one practical stage.
Stages
- Idea
- Draft
- Strong generation
- Selected version
- Revision required
- Production candidate
- Final candidate
- Released or archived
Score songwriting, vocal performance, arrangement, sonic condition, artist fit, emotional impact, distinctiveness and revision effort.
Files
Build the metadata and file record
Make each active song understandable without reopening several platforms or relying on memory.
Required fields
- Title, artist and version
- File name, format, location and duration
- Lyric and explicit status
- Genre, mood, tempo and key if known
- Creation tool and source notes
- Artwork and contributor status
- Disclosure and release status
- Audio, lyrics, artwork, prompts, sources, documentation and retired folders
Shortlist
Identify release candidates
Choose a limited group worth advancing. Do not label the entire active catalogue release-ready.
Recommended shortlist
- One lead candidate
- Up to two supporting candidates
- Up to three development candidates
- Catalogue holds
- Tracks blocked by missing evidence or excessive revision
Judge artist fit, audience fit, quality, emotional clarity, differentiation, technical condition, required effort and source completeness.
Approve
Approve the Working Catalogue
Consolidate the inventory, version map, fit decisions, development board, metadata record and candidate shortlist.
Include unresolved questions, next actions, version number, approval date and review date.
Free validation scorecard
| Category | Points | Evidence |
|---|---|---|
| Catalogue completeness | /10 | |
| Version clarity | /10 | |
| Artist and brand fit | /10 | |
| File and metadata organization | /10 | |
| Release-priority clarity | /10 |
Recommended approval: 35/50 or higher, with no category below 6.
Verified support
Track Validation Checklist · Clean Up Your Suno Library · Remaster Guide · Human Contribution Checklist
