
I've been testing the non-fiction workflow in Inkfluence AI and wanted to see what would happen with a pretty normal book idea rather than a carefully engineered prompt.
I started with this:
“A practical 30-day guide for busy professionals who want to reduce digital distraction and rebuild their ability to focus.”
That was basically it.
Inkfluence turned it into The 30-Day Focus Reset — a 7-chapter, 6,238-word non-fiction book, with the outline, written content and cover all created inside the same project.
The interesting part for me isn't really that AI can generate 6,000 words. That's easy now.
The harder problem we've been working on is everything around the generation: taking a rough idea, turning it into a sensible structure, keeping the chapters connected, and ending up with an actual book project you can edit, design and export rather than a massive response sitting in a chat window.
I deliberately didn't give it a detailed chapter-by-chapter prompt for this test. If someone already needs to plan their entire book before the software becomes useful, we're not solving enough of the problem.
I documented the whole test, including the finished book, here:
https://www.inkfluenceai.com/learn/how-to-write-a-nonfiction-book-with-ai
I'm curious how other people building long-form AI products are approaching this. How are you handling structure and consistency once generation starts running into thousands of words?
The distinction between generating 6,000 words and actually maintaining a coherent book is the interesting part.
Curious what tends to break first once users start revising the generated content.