Modular platform
Backend, frontend, Spotify API, Telegram bot and playlist engine are separated.
Spotify AI Playlist Platform: from a music request to a controlled playlist workflow
An internal KitzLabs system connects free-form music requests, track selection, Spotify access and Telegram-first interaction through a modular architecture.
Quality gates
Search, deduplication, ranking, flow sorting and validation are distinct stages.
Extensible
Customer memory and event radar are separate modules.
The problem
Music requests combine genre, mood, duration, occasion, audience and references. A useful system has to structure that intent before searching Spotify or creating a playlist.
Architecture
The platform separates backend, frontend, Telegram bot, Spotify API, customer memory, playlist engine, event radar, configuration and logs. This keeps domain logic testable instead of burying everything inside one conversational prompt.
Playlist engine
Search candidates are filtered, deduplicated, ranked, flow-sorted and validated before a preview is produced. The architecture is designed to prevent repeated or weakly matched tracks from becoming the final output.
Customer flow
The target flow is request → preview → Spotify connection → optional payment → playlist creation or refresh. A Telegram-first experience can later share the same engine with web interfaces.
What this demonstrates
This internal project is a reference for specialized agents that coordinate APIs and deterministic validation rather than simply generating text.
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