Examples

The code carries the detail

These implementations show where the task boundary sits, how evidence is retained, and how authority changes. Each mapping also states what the system leaves out.

Normative executable reference

paa-runtime

A Python control plane that validates task declarations, persists evidence, determines promotion eligibility, records authority decisions, and retains event history.

Task declarationVersioned, schema-validated task and scope
EvidenceAdmissible records bound to evaluator and task versions
DecisionPromotion or demotion proposal with explicit resolution
TransitionAppend-only event history and exact-scope position fold

Does not implement: worker execution, evaluator execution, or application-level atomicity for the governed effect. Those remain consumer responsibilities.

Repository Run the refund quickstart Implementation mapping

Application consumer

Scout

Scout embeds paa-runtime in an application that publishes content. Its governed tasks are outbound publication, inbound reply surfacing, and canonical promotion. The application database stores the PAA events so the authority check and publication claim can share one transaction.

Does not demonstrate: a production autonomy transition. The cited archive replays real pre-cutover behavior through the runtime and is labeled as a replay.

Scout mapping Replay capture

Canonical patterns

Five common task shapes

Pattern declarations

Compatible substrate

jig

jig provides bounded execution, typed results, evidence logging, and pluggable graders that map cleanly to parts of PAA.

Does not implement: authority positions, promotion rules, demotion rules, or transitions.

Repository Mapping