Build Custom Music Discovery System with Manual Curation
Create a hybrid approach that combines AI suggestions with manual curation to build more accurate playlists for specific activities or moods.
Workflow Steps
Notion
Create music database template
Set up a database with properties for Song Title, Artist, Genre, Mood Tags, Energy Level (1-10), Instrumental (checkbox), Activity (writing/coding/workout), and AI Source. Create filtered views for different use cases.
Apple Music
Generate initial AI suggestions
Use Playlist Playground to create playlists for your target activities. Don't expect perfection - you're using this as a starting point to discover new artists and songs you might not have found otherwise.
Spotify
Cross-reference and expand discoveries
Search for the artists and songs from Apple's suggestions on Spotify. Use Spotify's 'Radio' feature on the tracks that actually match your needs to find similar songs with better accuracy.
Notion
Curate and tag validated tracks
Add only the songs that truly match your criteria to your Notion database. Include detailed mood and activity tags, and note which AI platform suggested each track for future reference.
Spotify
Build final optimized playlists
Create themed playlists in Spotify using your curated Notion database. Organize by activity (Deep Work, Creative Writing, etc.) and continuously refine based on what actually helps your productivity.
Workflow Flow
Step 1
Notion
Create music database template
Step 2
Apple Music
Generate initial AI suggestions
Step 3
Spotify
Cross-reference and expand discoveries
Step 4
Notion
Curate and tag validated tracks
Step 5
Spotify
Build final optimized playlists
Why This Works
AI provides discovery power while human curation ensures quality, creating playlists that actually match your needs instead of generic algorithmic guesses. The database becomes smarter over time.
Best For
Knowledge workers and creatives who need specific types of music for focused work but find AI recommendations too inaccurate
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