Dispatch
Introducing si: Let Your AI Interact with the Outside World
Why Aureuma built si, what problems it solves, and how to think about safe interaction loops for real systems.
by Shannon A. 1 min read
si exists for one reason: most AI systems still stop at planning.
Planning is useful, but production teams need execution with constraints, identity, and repeatability. We built si as the operational layer between AI reasoning and real infrastructure.
What changes with si
- Agents can run real workflows instead of stopping at instructions.
- Browser tasks are constrained and auditable.
- Deploy and runtime operations become policy-aware primitives.
Design principle
Every action should be observable, reversible where possible, and attached to a clear operator context.
Written by Shannon A.
Product Strategy Lead
Shannon shapes the product narrative for si and translates platform capabilities into practical decisions for teams shipping AI systems.