A maintenance routine in which a user periodically reviews, sorts, updates, and prunes an accumulated AI-assisted knowledge base to keep it current and accurate. The construct is the regularity and completeness of this curation behavior.
STATE. Operationalized by the cadence and coverage of curation actions on a knowledge store: how regularly review passes occur and what share of stored items are checked, updated, or removed per pass. The construct is the level of upkeep, ratable from maintenance logs or self-report.
Proposed measurement protocol (not yet empirically validated): Curation-activity metrics from version history or logs: review-pass interval, fraction of items revised/removed per pass, and staleness rate (share of items past a freshness threshold); could be reported as an upkeep profile.
https://andreasehstandlicenseofclarityloc.github.io/augmanitai-periodic/#topic-meta-reflection