Nice practical framing. I’m biased because this maps to patterns I’m building around nxusKit SDK, but the design point stands on its own: a builder/chain makes each guard independently testable and makes the chain itself a reviewable artifact.
In practice, I’d map the stages as structured-output extraction -> deterministic rule checks -> repair/escalation packet. Python is the most natural place for a fluent .add() version; Rust and Go can do the same with trait/interface stages, just with less syntactic fluidity.
The production fields I’d add per stage are guard id/version, observed facts, authority boundary, verdict, and trace id, so the pipeline is not only reusable but auditable.
Nice practical framing. I’m biased because this maps to patterns I’m building around nxusKit SDK, but the design point stands on its own: a builder/chain makes each guard independently testable and makes the chain itself a reviewable artifact.
In practice, I’d map the stages as structured-output extraction -> deterministic rule checks -> repair/escalation packet. Python is the most natural place for a fluent .add() version; Rust and Go can do the same with trait/interface stages, just with less syntactic fluidity.
The production fields I’d add per stage are guard id/version, observed facts, authority boundary, verdict, and trace id, so the pipeline is not only reusable but auditable.