Overview
An experimental platform combining generative AI and social music - lyrics to songs, remixing, and a feed built around AI-made tracks.
The Problem
Generative music tools are powerful but isolated - a person generates a track and it goes nowhere. There's no social layer built around AI-made music the way there is for AI-made images or text.
The System
Kavosuri takes a lyric or idea, generates a full track across multiple styles, and puts it into a social feed where tracks can be remixed, shared and streamed. The generation pipeline and the social product are built as one system, not bolted together.
The AI / Automation Layer
Generation is orchestrated through Vertex AI and audio/lyric-generation models (Suno, Lyria) behind an automated content pipeline - a request comes in, gets routed through generation, post-processing and moderation, and lands in the feed without manual intervention.
The Outcome
A bold, experimental product that treats AI generation as infrastructure for a social experience, not the whole product.
Future Direction
Deeper remix chains - tracking lineage between an original generation and everything remixed from it.
Technology
- Suno
- Lyria
- Vertex AI
- Python
- API Orchestration
- Next.js
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