batch-review

Automating batch content review involves orchestrating parallel subagents to audit built modules across tracks, producing structured audit-ready reports. This workflow applies deterministic state tracking to generate cross-module insights and suggest template auto-fixes.

Auditing built learning modules across L2-UK-EN tracks is done by running a batch review across a specified module range. The process filters out unpublished content, aggregates findings, and exports structured reports to audit and orchestration directories.

Generating audit-ready reports for a curriculum module range is supported by specifying start and end parameters during the batch review. The system resolves module slugs, filters to built content, and outputs structured audit and content-review reports automatically.

Batch prompt review handles unpublished modules by automatically filtering them out of the workflow. This ensures only built curriculum content is audited and aggregated into the final cross-module insights and audit-ready reports.

Batch curriculum auditing supports automated governance by enforcing deterministic workflows that export structured outputs to audit and orchestration locations. It also suggests template auto-fixes based on the aggregated prompt-review and content-review findings.

Automating curriculum audits is limited to filtering and processing only built modules, leaving unpublished content unaudited. The deterministic workflow requires accurate slug resolution and valid module ranges to successfully export structured audit reports.