Writing 4 Novels in 10 Months with AI
Published by O'Reilly Media, Inc.
Using AI as a writers’ room without having it generate a word
What you’ll learn and how you can apply it
- Set up an AI-assisted research and visual-reference process before drafting begins
- Use AI as an interrogable continuity reference across a long manuscript or series
- Run AI-assisted brainstorming and chapter outlining without ceding structural decisions
- Deploy AI in four distinct editorial roles (developmental editor, writers’ room, copy editor, proofreader) at different stages of revision
- Build an AI-assisted research and continuity pipeline for a long-form creative project, from initial world-building through final proofread
Course description
Writing a novel is hard. Writing four of them in ten months, while keeping every character’s timeline, wardrobe, and hometown geography consistent across hundreds of pages, is a different problem. It has little to do with prose style and everything to do with information management. This course is built around a real production case study: a working acquisitions editor and novelist, Aaron Black, who used AI at every stage of writing four novels, without ever letting it generate a single word of the manuscript.
You’ll see the specific, repeatable ways AI functioned across the process: as a research assistant, grounding fictional settings in real topography and weather history; as a living series bible, answering continuity questions on demand, mid-draft; and as a brainstorming partner for plot and character decisions. Finally, AI functioned as a multi-role editorial team: developmental editor, writers’ room, copy editor, and proofreader. In every case, AI never held the pen. You’ll leave with a concrete workflow you can apply to your own novel, short story collection, or any other long-form writing project, along with a clear sense of where the line between “AI-assisted” and “AI-generated” sits and why that line matters.
This live event is for you because...
- You’re a writer working in either fiction or nonfiction who would like to use AI to speed up your writing process and make it more accurate.
Schedule
The time frames are only estimates and may vary according to how the class is progressing.
What AI didn’t do (10 minutes)
- Presentation: Framing the case study
- Group discussion: Setting expectations for the course
Grounding the world before writing a word (10 minutes)
- Presentation: Geographic grounding (researching real terrain for fictional settings); character and location visualization; aging characters consistently across books; and weather and regional historical data as scene-level texture
- Group discussion: Which part of prewriting research takes you the most time?
Infrastructure of a series and the drafting partnership (15 minutes)
- Presentation: AI as a queryable series bible (macro continuity and historical accuracy checks); chapter outlining and brainstorming as a reactive scaffold
- Group discussion: The line between AI surfaces options and “AI makes the call”
- Q&A
AI as the editorial room and continuity as QC (15 minutes)
- Presentation: Four editorial roles; live example of continuity drift and how to catch it
- Group discussion: Where in your revision process do details tend to drift?
- Q&A
Wrap-up and Q&A (10 minutes)
Your Instructor
Aaron Black
Aaron Black is a Senior Editor at O'Reilly Media. He is credited on numerous bestselling books covering data, tech, and AI. Aaron is an award-winning author with novels available via major retailers. He wrote his first novel in his teens, on a writing scholarship at Butler University, and has written more than a dozen more in the twenty-five years since.