How to Write a GOOD Book with AI in 2026 (Full Tutorial)

About this video

Sean Dollwet explains why most AI-written books are, in his words, garbage, and gives his workflow for producing a good one with generic AI tools. He names five killers of AI writing: hallucinations (made-up facts, quotes and studies), surface-level fluff that never gives the how-to, a repetitive loop after chapter two or three as the AI forgets earlier content, a textbook/corporate-manual tone lacking stories, and an editing burden that can exceed writing from scratch. He argues generic chatbots like ChatGPT, Gemini and Claude are not built for books, and promotes his own co-author.ai software — which he says has prompting and a fact-checking agent built in, with a Pro plan he prices at around $74 a book with a 25% beta discount — while still teaching the generic-tool method. The workflow: start with a detailed outline using a prompt that specifies target audience, unique selling proposition and tone, and requires a 10-chapter outline with three sections per chapter and three granular subsections each. Then generate one subsection at a time, never a whole chapter, because quality drops partway through. When repetition and hallucination grow, save progress to a separate file, start a fresh chat/project (Gemini Gems or ChatGPT Projects), upload the outline and prior content, and continue. That draft is only phase one. Phase two: fact-check every claim, date and statistic (uploading the manuscript in smaller pieces helps), fix both tempo redundancy (the repeated setup-paragraph plus numbered-list structure) and information redundancy, and add personal stories, case studies and analogies, since he argues readers buy non-fiction for delivery and storytelling, not information alone.

Key takeaways

• Five killers of AI books, per the creator: hallucinations, surface-level fluff, repetitive loops after chapter 2-3, textbook tone without stories, and editing that takes longer than writing from scratch
• Build the outline first with a prompt naming target audience, unique selling proposition and tone, requiring 10 chapters, three sections per chapter and three granular subsections per section
• Generate one subsection at a time, never a whole chapter — output quality falls off in the later half of long generations
• When the chat gets repetitive, save progress, start a fresh Gem/Project, upload the outline and prior chapters as knowledge, and continue from there
• Phase two is mandatory: fact-check all claims in smaller manuscript chunks, fix tempo and information redundancy, and add personal stories, case studies and analogies

Episode details: published March 30, 2026 · 21:03 long. Summary written by Self Growth Videos from the episode itself. Business results and any income figures mentioned are Sean Dollwet’s own claims, shared for education — they are not typical or guaranteed.

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