authorize deterministic zero-dependency ● live demo

Simulate kernel
What-if scenario matrix → risk band + recommendation

Takes a proposed action, weighted impact dimensions, discrete scenario probabilities (best/likely/worst), and user-provided estimates. Computes probability-weighted expected value per dimension, a risk band (low · medium · high · critical), constitutional constraint flags, and a concrete recommendation. Not ML — a deterministic rubric over the estimates you supply. The kernel computes; domain knowledge is yours.

Live demo — try a scenario

Full output (JSON)
What this kernel does: Computes EV = Σ(probability × impact) per dimension. Risk band = fraction of total weight with negative EV. Constitutional flags search for dimension-mentions in your constraint string and check worst-case impacts against numeric thresholds in it.
What it does NOT do: NOT ML, NOT "thousands of parallel simulations". The kernel applies probability arithmetic to YOUR estimates — it does not generate forecasts, contact external systems, or guarantee any outcome. EcoCloud computes the analysis; the operator provides the domain knowledge.
Source: flowdesk-simulate-kernel.js · All 42 kernels →