Submit Your Manuscript

Level 1 · AI Structural Analysis

Submit your manuscript for a Level 1 AI Structural Analysis. The analysis covers pacing, timeline consistency, character mapping, dialogue attribution, repetition patterns, structural arc and scene-by-scene diagnostics. Every finding is tagged by severity. You receive a private editorial report and a readiness rating.

This is not a creative opinion. It is a diagnostic tool — the same framework used across four editorial sessions on Market Town: Book One, documented in the Workshop.

Your Name

Manuscript Title

Genre

Approximate Word Count

Manuscript Stage

Optional Editorial Lenses Select any additional focus areas. The standard structural review is always included.

Commercial Readiness — genre positioning, market fit, opening hook Dialogue Deep Dive — voice differentiation, attribution patterns World-Building Audit — setting consistency, geography, rules continuity Series Continuity — cross-volume tracking (provide previous books) Sensitivity Scan — representation, cultural references, anachronisms Pace Mapping — visual rhythm map of action, dialogue, exposition density

Upload Your Manuscript Accepted format: .docx. Maximum file size: 10 MB. Your file is transmitted securely and handled in accordance with our privacy policy.

Anything else we should know Specific concerns, areas you want the analysis to focus on, or context about the manuscript.

What Happens Next

We’ll confirm receipt of your manuscript within 48 hours. Your file is transmitted securely and handled in accordance with our privacy policy.

The Level 1 analysis typically takes 3–5 working days. Your report is emailed directly to you as a private document. It is not published, not shared and not visible to anyone else.

The standard structural review is free during the early access period. Optional editorial lenses are individually priced — we’ll confirm costs before running them.

Privacy: Your manuscript is confidential. It is read only by the AI analysis system and the platform editor who reviews the report before delivery. It is not stored after the report is complete. It is not used for training. It is not shared. See the privacy policy for full details.