The Revision Engine

@techreport{hamilton2026revision, author = {Hamilton, Michael P., Ph.D.}, title = {The Revision Engine}, institution = {Canemah Nature Laboratory}, year = {2026}, number = {CNL-TN-2026-010}, month = {january}, url = {https://canemah.org/archive/document.php?id=CNL-TN-2026-010}, abstract = {This technical note documents the Revision Engine—a web-based platform for systematic manuscript revision through human-AI collaboration. The platform extends the Novelization Engine methodology (CNL-TN-2025-022) from drafting into revision, implementing quantified diagnostic tools that transform subjective editorial intuition into actionable data. Core innovations include: a four-dimension engagement scoring system with computed aggregate metrics; voice fingerprinting and similarity detection across characters; automated dropout zone identification; visual heatmap interfaces for manuscript-level pattern recognition; and a complete export-process-import workflow for AI-assisted revision with version control. Applied to *Hot Water* (218,681 words across 101 chapters), the platform enabled identification of 47 dropout zones, quantification of voice blur across 15 characters, and systematic triage of revision priorities. We introduce the term "cognitive prosthesis narrative development" to describe this approach: extending human cognitive capacity for holding entire manuscripts in working memory while tracking consistency, voice, and engagement across novel-scale texts. The platform demonstrates that AI collaboration in creative work may be most valuable not for generating content but for generating diagnostic infrastructure that makes revision tractable at scale.} }