Know what the result means
Start with the local workflow, then inspect the privacy and geometry boundaries behind a trustworthy comparison.
First comparison
Getting started
Prepare two models for a private, local comparison.
Read guide →Data boundaryPrivacy by default
Understand what stays on your device and where explicit sharing begins.
Read guide →Correctness boundaryGeometry interpretation
The invariants that keep comparison results interpretable.
Read guide →