Crafting a Personalised Music App
summary
A weekend hackathon prototype becomes a working iOS app that turns prompts into playlists by calling openAI API, looking up tracks with MusicKit, and storing logic and secrets behind Firebase Cloud Functions. System prompts live server‑side; responses use JSON mode to reduce parsing errors; personas plus a like/delete feedback loop adapt recommendations over months. Hallucinations and repetition require prompt engineering and retries, but GPT‑4 Turbo, Jini Pro and a 7B fallback make the pipeline resilient and swap‑able.
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chapters (15)
- 0:00Introduction
- 1:15Open AI API
- 1:50Demo
- 3:01Customisation
- 3:40Personas
- 4:20Initial Playlist
- 4:31User Interaction
- 5:00User Feedback
- 5:42Hallucinations
- 6:22Feedback Loop
- 6:46Json Mode
- 7:49Security
- 8:20Cloud Functions
- 8:58AI Parameters
- 10:07Conclusion
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