dp-review-consistency

Narrative continuity across chapters is verified by applying a structured, rule-based review to your manuscript. This process evaluates timelines, spatial consistency, character states, and world rules against your draft and spec files to produce a formal continuity report.

The Claremont metric is a computed score used in foreshadowing tracking to quantify cross-chapter reference validation. It evaluates how well narrative threads and foreshadowing elements align across the full manuscript to identify unresolved story arcs.

You track character state and world rules across multiple chapters by reading draft.md, spec.md, prior releases, and tracking files together. A rule-based review validates spatial continuity and disclosure alignment, outputting a formal report of any detected inconsistencies.

A consistency review does not automatically edit your manuscript draft. It reads your draft.md and spec.md to produce a formal continuity report, catching cross-chapter inconsistencies as defects without modifying the original manuscript files.

For a cross-chapter consistency check, you need to prepare your current chapter draft.md, spec.md, prior releases, and tracking files. Loading these into the review workflow evaluates timeline and event alignment to generate a formal continuity report.