Hyperstate AI
Hyperstate AI was an AI-assisted music production platform. Creators could log in, start projects, upload audio, and work alongside a producer-style AI assistant (the Louis Bell persona) with full context preserved across sessions. The startup wound down after launch.
Overview
Hyperstate AI was an AI-assisted music production platform. Creators could log in, start projects, upload audio, and work alongside a producer-style AI assistant (the Louis Bell persona) with full context preserved across sessions. The startup wound down after launch.
The Challenge
The product wasn't a chatbot with audio bolted on. It required authentication, persistent project state, conversational AI, audio transcription, and MIDI generation to work as one coherent backend, not a set of disconnected services. Keeping the AI contextual and stateful across sessions was the hardest part.
What We Did
We built the full backend: Django REST API, thirdweb-linked JWT auth, project and sample management, stateful conversation system with history reconstruction for the Louis Bell agent, audio upload and transcription pipeline, MIDI generation workflows, Neo4j knowledge graph integration, and full Dockerised deployment on Render.
Outcomes
What We Learned
Audio processing in a request-driven web backend is genuinely hard. Files arrive in inconsistent formats, MIME types lie, and ML model expectations are stricter than what users actually upload. The real discipline is building the glue layers robust enough to handle real-world messiness without leaking complexity into the product experience.
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