Building a Spotify Playlist Generator with Claude
The author built a playlist generator using AI and the Spotify API, allowing users to describe a mood and receive a personalized playlist. The article covers the technical stack, challenges with local OAuth, and lessons learned.
Why it matters
This project demonstrates the potential of AI-powered tools to enhance music discovery and personalization, which could have significant implications for the music industry.
Key Points
- 1Built a playlist generator using Claude AI and Spotify API
- 2User describes a mood, and the app generates a 50-song playlist
- 3Faced issues with local OAuth and Spotify's redirect URI restrictions
- 4Claude works well but requires prompt engineering to avoid hallucinations
- 5Implemented streaming with Server-Sent Events to improve user experience
Details
The author wanted to build a playlist generator that could truly understand moods and vibes, not just genre tags. The app allows users to describe a mood, and it uses the Anthropic Claude API to generate a JSON response with 50 song recommendations. The app then retrieves the tracks from Spotify and saves the playlist to the user's account. The technical stack includes Next.js 14, NextAuth v5, Anthropic Claude API, Spotify Web API, Supabase, TypeScript, Tailwind CSS, and Framer Motion. One of the biggest challenges was working with local OAuth and Spotify's restrictions on redirect URIs. The author had to find workarounds to handle the normalization of URLs by Next.js. Additionally, the author had to implement prompt engineering techniques to ensure Claude generates appropriate song recommendations without hallucinations. The use of Server-Sent Events for streaming improved the user experience.
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