How to fact-check an AI-written ebook

Fact-checking an AI-written ebook means checking every figure, study, quote, date, and rule against a real source before you publish. Never publish AI-generated content without checking it first, or without a trained proofreader or editor doing it for you. EBookBrew lists the claims the model couldn't verify in each chapter, so you can start there.

What you need before you start

Gather three things:

• The full draft of your book.
• A place to log each claim and its source. A spreadsheet works.
• Time to read original documents, not summaries.

AI tools can produce hallucinations: content that sounds confident and persuasive but is completely wrong. A read-through for tone alone isn't enough.

Set up your claim log with four columns: claim, source, date checked, and decision (keep, fix, or cut). You'll fill it in as you go.

Step 1: Pull the unverified claims for each chapter

In EBookBrew, each chapter lists the claims the model could not verify: figures, studies, quotes, dates, and rules. You start from that list instead of hunting through the text.

A chapter with one or more listed claims has facts you should check. Use the number of claims to see which chapters need work first.

Our MCP docs describe the intent this way: "The claims list holds statements the model could not verify (figures, studies, quotes, dates, rules); show them to the user and ask them to check each one against a real source before publishing." Treat each claim as a task for you.

Copy every claim into your log. Editing and exporting cost no credits, so fixing claims doesn't add to your spend.

Step 2: Rank claims by risk

Start with the claims that carry the most risk if they are wrong.

Statistics make a good first pass: percentages, averages, sample sizes, and growth rates. Quotes, dates, and rules or legal claims come next.

A wrong number in a title or a promise to the reader hurts more than a wrong detail in an aside. Mark those claims first in your log.

Step 3: Trace each claim to its original source

Where possible, go to the original source. If a statistic is quoted from a research paper, read the paper to check it.

Then fill in your log with the claim, the source link, the date you checked it, and your decision to keep, fix, or cut.

If you can't find a source for a claim, cut it. You can also rewrite it as a general statement you can support.

Step 4: Cross-reference and check context

Ideally, check claims against several credible sources. If all of them verify the claim, it's likely true.

A statistic can be technically correct and still mislead if the context changed. Check the year, the population, and what was measured.

Automated fact checkers can give you leads. None is 100% accurate all of the time, so treat their output as a pointer, not a verdict.

Step 5: Fix the chapter and re-read it

Edit the text in the chapter editor. Replace wrong figures, add the correct ones, and soften claims you can only partly support.

If a section rests on too many weak claims, use the redo control on that chapter. Then re-check the new draft, because new text can bring new unverified claims.

Chapters are written with earlier ones in view. After a change, skim the neighboring chapters for statements that repeat the old fact.

Step 6: Check claims about rules and ownership

If your book covers legal or copyright topics, check them against primary sources. For example, a law firm's summary of the US Copyright Office's view says that copyright can protect only material that is the product of human creativity. Check the Office's own publications before you repeat it.

What matters is how much creative control the human had over the work's expression. Copyright protects only the human-authored aspects of the work.

Our KDP AI disclosure guide explains how to answer Amazon KDP's question about AI-generated content.

Step 7: Do a final pass before you export

Confirm that every claim in your log has a decision and every chapter's claims are resolved. Then read the book start to finish once more.

EBookBrew exports to PDF, EPUB, and DOCX. Exporting costs no credits, and any purchase unlocks downloads for every book on the account.

If you work through an agent in Cursor, ChatGPT, or Claude, the MCP server docs tell the agent to show you the claims list and ask you to check each claim against a real source before publishing.

Example claim log

Claim	Source	Date checked	Decision
A percentage from a study	Original paper, link here	Date	Fix: wrong year
A quote from an author	Original book page	Date	Cut: no source found
A rule or deadline	Official site	Date	Keep

FAQ

Can an automated checker replace this process?

Not on its own. Use one to find leads, then confirm each result against a source you've read yourself.

Which chapters should I check first?

Start with the chapters that list the most claims. Within each one, begin with statistics and anything a reader might act on.