Savine
Every AI team rebuilds the same broken foundation before shipping a single feature.
The XState state machine runtime and why it provides structural safety not observational safety. What that distinction means in production.
The two-layer architecture — fixed outer machine owns guarantees, open inner machine handles agent reasoning.
Multi-agent orchestration via system.json — how a pipeline of five agents becomes one deployable endpoint.
Cost intelligence layer — how every token, every call, every latency measurement gets attributed to the exact task that generated it.
Crash-Proof Runtime
Deterministic state machine prevents infinite loops and unhandled token exhausts.
Real-Time Observability
Trace every tool call, thought, and LLM request down to the millisecond.
Cost Intelligence
Per-task attribution of token spend. Know exactly what each feature costs.
Multi-Agent Orchestration
Declarative system.json defining pipelines, roles, and boundaries.
XState runtime architecture designed and spec'd.
Core execution loop built, state transitions validated.
Observability streaming layer built.
Multi-agent system.json parser and orchestrator.
100+ LLM provider integrations, BYOK system.
Loop detection calibration, cost tracking refinement.
Zero silent failures
since production launch.