Workflow Separates Auto-Generated Config Docs from Human-Signed Operational Facts

A documentation workflow proposed for software teams splits configuration reference generation into two distinct lanes: parser-extracted facts and human-signed operational data. Automated tools can reliably pull flag names, environment variables, and help text directly from source code, but production defaults, secret classifications, and deprecation windows cannot be safely inferred this way. AI drafting models often produce config tables that appear complete but silently embed laptop-environment defaults or expose credential names copied from example files. The proposed method uses a signed-cell grid where operational fields must remain empty or marked UNSIGNED until a named reviewer explicitly approves them, with CI configured to block publication if any UNSIGNED markers remain. This approach treats unsigned operational cells as a reviewable defect rather than a philosophical debate about AI tooling.