Plans the evolving mix
Evaluates what is playing and chooses intentional additions, removals, and timing.
AI-directed listening environments
A soundscape
that listens back.
Current is an LLM-powered mixing agent that selects sounds, manages transitions, follows creative constraints, and responds to your requests as the music unfolds.
LLM orchestrationStructured outputsReal-time audio
Meet Current
A mixing agent with room to improvise.
Current makes deliberate changes instead of shuffling sounds at random. It balances creative direction with hard musical rules, then lets every transition happen inside the live soundscape.
See the architectureGrounded in the catalog
Works from curated metadata including mood, energy, instrumentation, pitch content, and mix role.
Acts through validated tools
Structured model proposals pass schema, catalog, harmonic, and listener-rule checks before playback changes.
Responds while playing
Listener requests become context for the next decision without interrupting the soundscape.
Choose an environment
Soundscapes
Evolving with Current
AI-directed mixes that respond and change in real time.
Original mixes
Curated soundscapes shaped by motion and your position.
Applied AI, made audible
The model proposes.
The system decides what is safe to play.
Soundriver combines LLM planning with deterministic validation, persistent session state, catalog grounding, and a real-time audio engine. Every accepted decision becomes a visible, traceable change in the mix.
- Agentic decision loop
- Prompt and context engineering
- Schema-validated model output
- Stateful user constraints
- Decision observability
- Simulation-tested policies