bmad-editorial-review-structure

Editorial review for document structure analyzes content organization and flow to propose cuts, merges, reorders, and consolidations that preserve meaning while improving clarity and high-value density for human or LLM readers.

To restructure a markdown document, run an ordered analysis pipeline that validates input, maps content to a structure model, and categorizes prioritized recommendations like CUT, MERGE, MOVE, or CONDENSE with rationales and impact estimates in a standardized markdown output.

Yes, you can optimize technical writing for LLM readers by setting a reader_type parameter, which adjusts the editorial review principles to prioritize high-value density and formatting suited for LLM consumption while preserving the document's original meaning.

The best way to reduce word count without losing meaning is to apply structural editorial review that proposes targeted cuts and condensing actions, providing estimated word reduction and explicit comprehension trade-offs for each change.

No, a style guide and audience definition are optional; the editorial review can apply default principles automatically, but providing purpose, audience, and length targets helps tailor structural recommendations more precisely to your document.

You should avoid automated document structure reorganization when a document's existing sequence is strictly regulated or sequential, as the review proposes reorders and consolidations that may break mandatory compliance or process flow.