82 Scenes, 44 Real Names: The Bookkeeping Half of Writing a Book
Last week my manuscript introduced the same engineer twice, 24 scenes apart. Full portrait both times: what he built, why he mattered, down to his sneakers. I would never have caught it rereading. The book has 82 scenes.
It’s a memoir about building a theme park attraction at Epcot, and the cast appendix lists 44 real names. Real names come with real problems. The source transcripts spell one of those names two different ways; a cast list typed forty years ago settles it six to one. You can’t fix that with a typo sweep. It takes someone who has read every scene.
So I set rules, in plain English, and my AI assistant enforces them. Every person gets introduced exactly once; the first mention carries the portrait, every mention after is just a name. The women who held serious jobs on that 1982 crew get named, never lumped into “the men.” Fold one scene into another and everything downstream renumbers, with the chapter map, cast appendix, and changelog updated behind it. A proofread pass caught 33 typos across 15 files, each fix verified after it landed.
My half is the creative half. Which scenes fold, which endings stay, what gets cut. This week I’m making some of those calls from a cruise ship in Alaska. The bookkeeping follows within minutes. The assistant has read all 82 scenes more recently than I have.
OpenClaw is a self-hosted AI assistant that lives on a small server, reads my files, remembers every rule I’ve given it, and treats manuscript consistency as a full-time job.
I teach two classes on setting up and getting the most from OpenClaw at AI Partner School.