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How to Create an Ebook Using AI: The Complete Publishing Guide

How to Create an Ebook Using AI: The Complete Publishing Guide for 2026

Introduction

I still remember the first ebook I tried to write the old way. It took four months, three abandoned drafts, and a folder full of notes I never used. By the time I finished, the market had already moved on to a different angle. That project taught me something I now repeat to every writer I mentor: the bottleneck was never the idea. It was the sheer amount of manual labor between the idea and the finished manuscript.

That changed the day I started treating AI as a genuine collaborator instead of a novelty. Not a replacement for my expertise, but a research assistant, a drafting partner, and an editor who never gets tired at 11 p.m. My next book took eleven days from outline to upload. Not because the AI wrote it for me in some hollow, robotic way, but because it removed the friction that used to eat up my time: staring at a blank page, hunting for structure, rewriting the same paragraph five times.

This guide is the process I use now, refined across dozens of published titles. It is not a shortcut that produces generic, forgettable content. It is a repeatable system for producing an ebook that sounds like you, teaches something real, and is ready for Amazon KDP, EPUB, or PDF distribution. By the end, you will know exactly how professional AI-assisted authors plan, write, design, and launch a book, and where the common traps are that quietly ruin manuscripts before they ever reach a reader.


Why AI Is Changing Self Publishing

Self publishing used to have a brutal filter built into it: only people with enough time, money, or writing stamina could get a book to market. AI has quietly removed that filter. It hasn't replaced the skills that make a book good, but it has collapsed the time it takes to apply them.

Three shifts explain most of this change. First, drafting speed. A chapter that once took a week of scattered evening sessions can now be drafted in a single afternoon, because the AI handles the first pass and you focus on shaping and correcting it. Second, access to structure. Many first-time authors fail not because they can't write sentences, but because they can't organize a book. AI is remarkably good at helping non-writers build a logical structure. Third, production cost. Cover design, formatting, and illustration used to require hiring freelancers. Now a solo author can produce professional-looking assets in-house, then hire a designer only for final polish if needed.

None of this means quality has become optional. If anything, the bar has risen, because readers can now spot generic, unedited AI output instantly and they punish it with poor reviews. The authors winning in this new landscape are the ones who use AI to move faster through the boring parts, then invest their saved time into original insight, real examples, and a distinct voice.

Choosing a Profitable Niche

A well-written book in the wrong niche still fails commercially. Niche selection is where most first-time authors either set themselves up for steady sales or unknowingly bury their own book.

Start with three filters: demand, competition, and your own credibility. Demand means people are actively searching for solutions in this area, not just casually interested. Competition means there is room for a new angle, not a graveyard of identical titles. Credibility means you can speak to the topic with some authentic experience or research, because readers and reviewers notice when an author is faking expertise.

A practical way to test a niche before writing a single chapter is to look at existing bestsellers in the category on Amazon, read the one and two star reviews, and note what readers say is missing. That gap is often your entire book concept. If dozens of reviewers say a popular title on budgeting "doesn't explain what to do if you're self employed," that's a specific, provable demand you can build a book around.

Avoid saturated, low differentiation categories like generic weight loss or generic productivity unless you have a genuinely unique angle, a strong personal story, or a very specific sub-audience such as "productivity for night shift nurses" or "budgeting for freelance graphic designers."

Niche Validation Checklist

  • The topic has at least 3 to 5 established competitor titles with visible sales activity
  • You can identify a specific underserved sub-audience within the broader topic
  • You have personal experience, client results, or research depth to support your claims
  • The topic naturally supports worksheets, checklists, or templates readers will value
  • You can summarize your book's unique angle in one sentence without using vague buzzwords

Keyword Research for Your Book

Your ebook needs to be discoverable in two very different ecosystems: Amazon's internal search algorithm and Google's organic search results for any accompanying blog content or sales page. Both start with keyword research, but they are not identical.

For Amazon, focus on the exact phrases buyers type into the search bar, which tend to be short and intent-heavy, like "meal prep for diabetics" rather than "the complete guide to diabetic friendly meal preparation techniques." Amazon's algorithm rewards titles, subtitles, and backend keywords that match real buyer language closely.

For Google, especially if you're building a landing page or blog content to promote the book, you want a mix of short-tail and long-tail keywords, including question-based searches such as "how to meal prep on a diabetic diet" or "what foods should diabetics avoid meal prepping." These map naturally to chapter headings and FAQ sections, which is one reason FAQs at the end of a book description or landing page perform so well for organic traffic.

(External Reference: Official Amazon KDP Documentation)

Keyword Research Table

Keyword Type

Example

Best Use

Search Intent

Short-tail

AI ebook writing

Amazon title/subtitle

Broad, high competition

Long-tail

how to create an ebook using AI tools

Blog content, chapter headers

Specific, lower competition

Question-based

can AI write a whole book

FAQ sections

Informational

Buyer-intent

best AI writing tools for authors

Product comparisons, affiliate content

Commercial

Backend/hidden

self publishing for beginners

KDP backend keyword fields

Discovery

Planning the Book

Before any drafting happens, a short planning phase saves enormous rework later. This is where you define the transformation your reader will experience, the tone you'll write in, and the rough shape of the book.

Write a one-paragraph promise statement: "This book helps [specific reader] achieve [specific outcome] by [core method], without [common pain point]." Everything you write later gets measured against this sentence. If a chapter doesn't serve that promise, it probably doesn't belong in this book.

Decide on length and depth early. A tactical, checklist-style ebook of 15,000 to 25,000 words behaves very differently in the market than a narrative, story-driven book of 40,000 words. Shorter, densely practical books tend to perform well for busy professional audiences; longer, richer books work better for topics where the reader wants an immersive experience, like memoir-adjacent business books or in-depth courses in book form.

Creating an Outline

The outline is where AI earns its keep fastest, because structure is a pattern-recognition problem, and that's exactly the kind of task AI handles well when guided properly.

A strong approach is to give the AI your promise statement, your target reader, and a rough list of subtopics you already know need to be covered, then ask it to propose three different outline structures: one linear, step-by-step structure, one problem-solution structure organized around reader pain points, and one framework-based structure organized around a named methodology. Compare all three, then combine the best elements into a final structure yourself. This keeps you in control of the book's spine instead of accepting the first draft outline uncritically.

Each chapter in your outline should have a one-line purpose statement, a rough word count target, and a note on what the chapter needs to include, such as an example, a checklist, or a common mistake to address. This turns your outline into a working brief instead of a vague table of contents.

Infographic showing the step by step workflow of creating an ebook using AI, from niche research to publishing

Writing the Chapters

This is the stage most people imagine when they hear "write an ebook using AI," but it's actually the shortest stage if the outline is solid. The mistake to avoid is asking AI to write an entire chapter from a one-line prompt and publishing it unchanged. That produces flat, generic prose that reads like a summary rather than a book.

Instead, draft chapters in sections. Feed the AI your chapter's purpose statement, any personal examples or client stories you want included, specific data points you've gathered, and the tone you're aiming for. Ask it to draft in your voice using a sample of your previous writing as a style reference if you have one. Review each section before moving to the next rather than generating the whole chapter at once, so errors don't compound.

Insert your own experience wherever possible. A chapter about pricing strategy is forgettable if it's pure theory, but becomes genuinely useful when you add a real anecdote about a pricing decision that backfired and what you learned. This is also what separates a book that ranks well long term from one that gets buried under generic competitors, because reviewers and readers reward specificity.

Improving Readability

Nonfiction ebooks live or die on scannability. Readers skim before they commit to reading in depth, and dense, uniform paragraphs discourage that skim.

Vary sentence length deliberately. Short sentences after a longer one create rhythm and make key points stand out. Break up any paragraph longer than five or six lines. Use subheadings every 300 to 500 words so a reader flipping through the ebook on their phone can immediately see what each section covers.

Bullet points and numbered lists are not decoration, they are functional tools for retention. When you present a process, a list of options, or a set of criteria, format it as a list rather than burying it in a paragraph. Bold key terms sparingly, just enough to guide the eye without turning the page into a wall of emphasis.

Run a readability check using a tool like the Flesch-Kincaid score as a rough guide, aiming for a level appropriate to your audience. A book for busy entrepreneurs generally reads better at a simpler grade level than an academic text, even if your subject matter is sophisticated.

Fact Checking Your Manuscript

AI-assisted drafts can include confidently stated but incorrect information, especially around statistics, historical dates, or specific claims about tools and platforms. This is the single most important quality control step in the entire process, and skipping it is the fastest way to damage your credibility.

Treat every specific number, statistic, or factual claim in your manuscript as unverified until you've checked it against a primary source. If you cite a statistic about self publishing revenue or reading habits, trace it back to the original study or report rather than trusting a secondhand summary. If the AI names a specific tool feature or platform policy, verify it against that platform's current documentation, since these details change often.

Keep a simple fact-check log as you go: the claim, the source you verified it against, and the date you checked it. This becomes useful later if a reader or reviewer questions something in your book, and it protects you from the reputational damage of publishing outdated or fabricated details.

Fact Checking Checklist

  • Every statistic has a traceable, named source
  • Every tool or platform reference matches current documentation
  • Every historical or biographical claim has been cross-checked
  • Direct quotes attributed to real people have been verified word for word
  • Legal, medical, or financial claims include appropriate disclaimers

Editing With AI

Editing and drafting are different skills, and treating them as the same step is a common reason AI-assisted books feel unpolished. Once your draft chapters exist, shift into a dedicated editing pass focused on clarity, structure, and voice consistency rather than generating new content.

Ask for a structural review first: does each chapter deliver on its stated purpose, are transitions logical, is anything repeated unnecessarily across chapters. Then do a line-level pass focused on tightening sentences, removing filler phrases, and eliminating repetitive sentence openers, which are a telltale sign of unedited AI drafts.

Pay close attention to voice consistency. It's common for different chapters drafted in different sessions to drift slightly in tone. Read your manuscript aloud, or have it read aloud, to catch places where the rhythm feels off compared to the rest of the book.

Proofreading

Proofreading is the final line-level pass focused purely on mechanical correctness: spelling, punctuation, grammar, and formatting consistency. This should happen after editing is complete, never before, because proofreading a draft that will still change structurally is wasted effort.

Use a dedicated proofreading tool separate from your drafting tool, since a fresh set of "eyes" catches errors the original drafting process missed. Check consistency items that are easy to overlook: are numbers formatted consistently throughout, either always as numerals or always spelled out below a certain threshold, are headings capitalized the same way throughout, are quotation marks and apostrophes consistent in style.

If your budget allows it, a human proofreader for the final pass is worth the investment, particularly for a book you intend to sell for years. Even the best automated proofreading occasionally misses context-dependent errors, like a correctly spelled word used in the wrong context.

Formatting the Manuscript

Formatting is where many first-time authors underestimate the work involved, because a manuscript that looks fine in a word processor can look broken once converted to an ereader format. Before you touch platform-specific formatting, get your manuscript into a clean, consistent state.

Use proper heading styles rather than manually bolding and enlarging text, since ereaders rely on heading tags to build navigation and tables of contents. Remove manual tab indents and extra line breaks used to fake spacing, replacing them with proper paragraph and spacing settings. Keep image placement simple and centered, since ereaders reflow text around images unpredictably if they're positioned with complex text wrapping.

Creating Illustrations

Illustrations should clarify a concept, not decorate a page for its own sake. Before adding any image, ask whether a reader would understand something faster with a visual than with the surrounding text alone. If the answer is no, skip it.

Custom illustrations work particularly well for conceptual chapters where an abstract idea benefits from a visual metaphor, such as illustrating a mindset shift or a big-picture concept before you drill into tactics.

Illustration of an author working at a desk with a laptop, representing collaborative AI-assisted book writing

Designing the Cover

Your cover is doing sales work before a single word of your book is read. On Amazon, it needs to work as a tiny thumbnail first and a full-size image second, which means bold, simple compositions consistently outperform intricate, detailed designs.

Study the top ten bestsellers in your exact category and note shared visual patterns: color palettes, typography weight, whether faces or objects dominate the cover. These patterns exist because readers have been trained by genre conventions to recognize what a book in this category looks like at a glance. Straying too far from those conventions can actually hurt trust and click-through rate, even if your design is objectively beautiful.

Mockup of a nonfiction ebook cover displayed on a tablet screen

Cover Design Checklist

  • Title is legible at thumbnail size on a phone screen
  • Subtitle clearly communicates the reader benefit
  • Color contrast works in both light and dark mode Amazon displays
  • Genre conventions are respected while still feeling distinct
  • Author name is readable and appropriately sized for your recognition level

Generating Tables, Worksheets, and Checklists

Practical nonfiction books earn repeat readers and better reviews when they include usable tools, not just advice. Tables work well for comparisons and decision frameworks. Worksheets work well for reflection exercises or planning steps. Checklists work well for anything sequential or verification-based, like the ones throughout this guide.

When generating these assets, keep the format consistent throughout the book. If your first worksheet uses a numbered prompt format, every subsequent worksheet should follow the same visual pattern, since consistency reduces cognitive load for the reader and makes the book feel professionally designed rather than assembled piecemeal.

Sample Comparison Table: AI Writing Tool Use Cases

Task

Best Suited Tool Type

Notes

Drafting chapter content

Long-form writing assistant

Best with detailed prompts and voice samples

Structural editing

Editing-focused assistant

Review structure before line edits

Grammar and proofreading

Dedicated proofreading tool

Use after editing is finalized

Cover and illustration design

Image generation tool

Best with reference examples from your genre

Formatting conversion

Ebook formatting software

Verify output across multiple ereader previews

Designing Diagrams and Infographics

Diagrams help readers understand relationships, hierarchies, and processes far faster than paragraphs of explanation. Any time you describe a multi-step process, a decision tree, or a framework with named components, consider whether a diagram would serve the reader better than prose alone.

Diagram showing the relationship between reader problem, book promise, and chapter structure

Formatting for Amazon KDP

Amazon KDP has specific formatting expectations that differ from a standard Word document. Your manuscript needs a proper front matter sequence, typically a title page, copyright page, optional dedication, and table of contents, followed by your chapters using consistent heading styles.

KDP's system converts your file into its own reflowable format, so avoid relying on manual page breaks for anything except chapter starts, and avoid text boxes or complex multi-column layouts, since these often break during conversion. Use KDP's built-in previewer extensively before publishing, checking your book across multiple simulated device sizes, not just the default preview.

Formatting for EPUB

EPUB is the standard reflowable format used by most ereaders outside Amazon's ecosystem, including Apple Books and Kobo. The core principle is the same as KDP: clean heading structures, minimal manual formatting hacks, and simple image placement.

One EPUB-specific consideration is your table of contents needs to be built as a proper navigable EPUB TOC, not just a text list with page numbers, since page numbers are meaningless in a reflowable format where text size can be adjusted by the reader. Most modern ebook formatting tools handle this automatically if your headings are properly tagged.

Formatting for PDF

PDF is a fixed-layout format, which makes it a poor choice for long-form reading on small screens but an excellent choice for workbooks, worksheet-heavy books, or lead magnets where exact visual layout matters more than reflowability.

If you're distributing a PDF version alongside your Amazon and EPUB editions, design it as its own layout rather than simply exporting your reflowable manuscript as-is. Take advantage of the fixed format to use richer visual layouts, sidebars, and precisely placed worksheets that wouldn't translate well to a reflowable ebook.

Ebook Format Comparison Table

Format

Best For

Reflowable

Typical Platform

KDP (MOBI/KPF)

Amazon Kindle sales

Yes

Amazon

EPUB

Wide ereader distribution

Yes

Apple Books, Kobo, Google Play Books

PDF

Worksheets, lead magnets, print-style layouts

No

Direct download, email list delivery

Publishing Your Ebook

Publishing itself is largely a technical checklist once your manuscript and cover are finalized. On KDP, this means uploading your formatted file, setting your categories and keywords carefully, choosing your pricing and royalty option, and reviewing the automated preview thoroughly before going live.

Choose your categories strategically rather than defaulting to the broadest option. Amazon allows browsing category selections that are more specific than what shows in the dropdown menu, and contacting KDP support directly to request additional specific categories can meaningfully improve your book's visibility to the right readers.

Set a launch price strategy in advance. Many authors price low or even free for the first few days to generate early reviews and sales velocity, then adjust to a standard price once the book has initial traction and social proof.

Marketing Your Ebook

Publishing is the beginning of the work, not the end. A book with no marketing plan relies entirely on Amazon's organic discovery, which is a slow and unreliable path for a new author with no existing audience.

Build a simple launch sequence before your publish date: an email to your existing list if you have one, a series of social posts building anticipation, and outreach to a handful of relevant newsletters or communities in your niche who might be willing to share your launch. Reviews matter enormously for long-term visibility, so consider offering advance reader copies to a small group before launch in exchange for honest feedback.

Illustration of a book launch timeline with social media, email, and reader outreach elements

SEO for Ebooks

If you're supporting your book with a landing page or blog content, standard SEO principles apply: a clear focus keyword in your title and headings, a meta description that creates curiosity, internal links to related content, and genuinely useful long-form content that answers real reader questions.

Structure your landing page content around the same questions your target reader is searching for, then answer them thoroughly rather than teasing the answer to force a purchase. Readers and search engines both reward pages that deliver real value up front, and Amazon's own algorithm rewards books that convert well from external traffic, creating a reinforcing effect between good SEO content and better book sales rank.

Common Mistakes to Avoid

The gap between a mediocre AI-assisted book and a genuinely good one usually comes down to a short list of avoidable mistakes.

Publishing an unedited first draft is the most common one, recognizable by repetitive sentence structures, vague generalities instead of specific examples, and a complete absence of the author's personal voice. Skipping fact-checking is a close second, since even one glaring factual error in a review can tank a book's credibility.

Ignoring niche research and simply writing about whatever feels interesting, without checking whether readers are actually searching for that specific angle, leads to books that never find an audience regardless of quality. Overloading a book with filler content to hit an arbitrary word count dilutes the practical value that makes readers leave positive reviews and recommend the book to others.

Common Mistakes Checklist

  • Publishing a first draft without a genuine structural and line edit
  • Skipping fact-checking on statistics and tool references
  • Choosing a niche based on personal interest alone without demand validation
  • Using a cover design that doesn't match genre conventions
  • Neglecting a launch marketing plan entirely
  • Padding chapters with filler to hit a word count target

Expert Advice

Experienced self published authors consistently emphasize the same principle: AI should compress your timeline, not replace your judgment. The books that perform best long term are the ones where the author remained the final decision-maker on structure, examples, and voice, using AI to accelerate the mechanical parts of the process.

Another piece of advice worth internalizing is to build a repeatable system rather than treating each book as a one-off project. Once you've refined your niche research, outlining, drafting, and formatting process for one book, that same system compounds in efficiency for your second, third, and tenth title, which is how prolific AI-assisted authors manage to publish multiple quality titles per year without burning out.

Future Trends in AI Publishing

Expect continued convergence between writing, design, and formatting tools, reducing the number of separate platforms an author needs to juggle. Interactive ebook formats that adapt content based on reader input are likely to grow, particularly for workbook-style nonfiction. Audio and ebook production are also converging, with narration tools making audiobook companions far more accessible for independent authors than they were even a couple of years ago.

The authors who will continue to succeed in this environment are the ones who treat these tools as leverage for their expertise rather than a substitute for it, since reader trust increasingly depends on authenticity signals that generic content cannot replicate.

Case Studies

Case Study 1: The Freelance Consultant A freelance marketing consultant had years of client experience but no writing background. Using a structured outline process and voice-matched drafting, she published a 22,000 word guide on freelance pricing strategy in six weeks, working evenings around client work. The book became a lead magnet that generated consulting inquiries within the first month.

Case Study 2: The Niche Blogger A blogger in the sustainable living space had years of published articles but had never assembled a book. He repurposed his best performing blog content as source material, using AI to restructure it into a cohesive narrative rather than a loose article collection, publishing a 35,000 word ebook that outperformed his blog's average monthly traffic in direct sales within its first quarter.

Case Study 3: The Corporate Coach An executive coach used the outline and chapter drafting process to turn her signature workshop content into a book, adding real anonymized client stories throughout. The book's specificity, rather than generic advice, became its main selling point in reviews, and it now serves as a credibility asset she sends to prospective corporate clients.

Case Study 4: The First-Time Author With No Platform A complete beginner with no existing audience used niche validation research to find an underserved sub-topic within personal finance, specifically budgeting for irregular freelance income. With no marketing budget, the book found early traction primarily through strong on-page KDP optimization and a well-targeted category selection.

Case Study 5: The Serial Publisher An entrepreneur who had published one moderately successful ebook used the lessons from that first launch to build a repeatable production system, publishing four related titles in a series over eight months. Cross-promotion between the books in the series, using the back matter of each to reference the others, created a compounding sales effect none of the individual titles achieved alone.

Frequently Asked Questions

1. Can AI really write an entire ebook by itself? AI can draft substantial portions quickly, but a genuinely good book still requires human judgment for structure, examples, fact-checking, and voice. Treat it as a drafting accelerator, not an autonomous author.

2. How long does it take to create an ebook using AI? With a solid outline and a focused process, many authors complete a first draft in one to three weeks, though editing and formatting can add another one to two weeks depending on complexity.

3. Do I need writing experience to use this process? No, but you do need domain expertise or genuine research on your topic. The writing mechanics can be supported by AI, but the substance still needs to come from real knowledge.

4. What is the ideal length for a nonfiction ebook? This varies widely by category, but many practical nonfiction ebooks perform well between 15,000 and 35,000 words, prioritizing usefulness over length.

5. Should I hire a human editor even if I use AI editing tools? For a book you plan to sell long term, a final human editing or proofreading pass is a worthwhile investment, since it catches context-dependent errors automated tools sometimes miss.

6. How do I choose the right niche for my ebook? Look for a topic with proven demand, room for a differentiated angle, and genuine credibility on your part, validated by studying reviews of existing books in the category.

7. What's the difference between KDP, EPUB, and PDF formatting? KDP and EPUB are reflowable formats designed for ereaders and adjust to screen size, while PDF is a fixed layout best suited for worksheets or print-style documents.

8. How important is the book cover? Extremely important. The cover often determines whether a potential reader clicks at all, especially at the small thumbnail size shown in search results.

9. Can I use AI to generate my book cover? Yes, AI image tools can generate strong cover concepts, though many authors refine the final version with a professional designer for polish and technical print requirements.

10. How do I avoid my book sounding generic or robotic? Include your own specific stories, data, and opinions throughout, and edit aggressively for repetitive sentence patterns, which are the clearest signal of unedited AI content.

11. What royalty structure does Amazon KDP use? Amazon offers different royalty options depending on price point and distribution choices, and the specifics can change, so always check current KDP documentation before finalizing your pricing.

12. Should I publish on Amazon exclusively or go wide? This depends on your marketing strategy and audience location. Exclusive Amazon enrollment offers certain promotional tools, while going wide reaches readers on other platforms. Many authors test one approach and adjust after their first launch.

13. How many chapters should my ebook have? There's no fixed rule, but most practical nonfiction books work well with eight to fifteen chapters, each with a clear, singular purpose.

14. Do I need illustrations in my ebook? Only where they add genuine clarity. Illustrations used purely for decoration can increase file size and distract from the reading experience without adding value.

15. How do I fact-check statistics I get from AI drafting? Trace every specific claim back to a primary, named source before publishing, since AI-generated drafts can state incorrect figures with unwarranted confidence.

16. What's the best way to market a new ebook with no existing audience? Focus on niche communities, targeted keyword optimization on your publishing platform, and requesting honest reviews from a small advance reader group before launch.

17. Can I turn my ebook into an audiobook later? Yes, and this has become increasingly accessible for independent authors, though it's usually best handled as a separate project after your ebook is finalized and tested in the market.

18. How do I keep a consistent voice across chapters written at different times? Read the manuscript aloud in full before finalizing, and consider providing your AI tool with the same style reference or sample text for every chapter you draft.

19. What is the biggest mistake new AI-assisted authors make? Publishing a first draft without genuine editing, fact-checking, and voice refinement, which is usually obvious to readers and damages long-term credibility.

20. Is it ethical to use AI to write a book? Using AI as a drafting and productivity tool while maintaining authorship over structure, ideas, examples, and final editing is broadly accepted practice in self publishing, as long as you're transparent about your work meeting the platform's content guidelines.

Conclusion

Creating an ebook with AI support isn't about shortcuts that produce hollow content. It's about removing the friction that used to make publishing a months-long grind, so you can spend your energy on the parts only you can provide: real expertise, honest examples, and a voice a reader can trust. Start with a validated niche, build a genuine outline, draft with intention rather than blind automation, and never skip the editing and fact-checking stages that separate a forgettable book from one readers recommend to others.

If you've been sitting on a book idea, the barrier that used to stop you is largely gone. What's left is simply the decision to start, one chapter at a time, using the process outlined here as your map. Open a blank document, write your one-sentence promise statement, and take the first real step toward publishing the book only you could write.

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