orchestration-pmatch

Drift detection in phased agent orchestration works by running dual independent claim extractors on design and plan artifacts. It compares extracted claims to identify discrepancies and applies multi-model-review for runtime adjudication to validate schema compliance.

Implementation deviation happens when generated plans misalign with approved architectural decisions. You can detect it early by validating conformance between design and plan artifacts, comparing extracted claims to identify discrepancies before they cause costly quality drift.

Automating claim verification between design and plan artifacts requires multi-model-review for runtime adjudication. This validates extracted claims against drift-report.schema.json, providing gate evaluation to ensure the implemented plan accurately reflects approved design requirements.

Yes, conformance validation requires multi-model-review for runtime adjudication. This ensures accurate drift detection by adjudicating identified discrepancies between artifacts, alongside schema validation against drift-report.schema.json for strict gate evaluation.

Yes, drift detection applies directly to phased agent orchestration pipelines requiring strict adherence to design specifications. It validates conformance between design and plan artifacts, enabling early detection of implementation deviations through dual extractors and schema validation.