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AI Cannot Give You the One Thing Only You Have

TL;DR: Ask a model for an illustrative example and it produces a plausible composite: a reasonable-sounding client with a reasonable-sounding problem. Readers detect those immediately, because real stories carry details nobody would invent. The model wasn’t in the room and nobody wrote down what happened.

Ask a model for an example to illustrate a point and it’ll give you one. A mid-sized company, a plausible problem, a sensible resolution.

It reads fine. It’s also a composite of every case study ever written, and a reader who has read three business books recognizes the shape within two sentences.

The reason is simple and it doesn’t go away with better prompting. Nothing that happened to you is in the training data unless somebody wrote it down, and almost nothing that happened to you was written down.

Of everything people ask a model to do, this request does the most damage. A model can’t know what happened to you. When it hands you a story anyway, it’s handing you a fake, and anybody who prints that under their own name is cheating the reader who bought the book to hear from them.

What is missing from a generated example?

The detail nobody would have chosen. Real stories carry things that don’t serve the argument. The chair was uncomfortable. It was a microwave. The brick was propping the door for smoke breaks. None of those are the point, and their presence makes a reader believe the rest. A generated example contains only essential detail, because it was assembled to make a point. Everything in it is relevant, which in a real account never happens, and the uniform relevance is the tell.

A composite feels thin even when the reader can’t say why, because the stray details that prove somebody was there have been stripped out. It makes me wince when an author who really lived through something lets a machine describe a tidier version of it. They’ve thrown away the only part a reader would’ve believed, and most of them can’t tell what’s gone.

The book on this: Family Cybersecurity is 231 pages of things that happened to specific households, the part no model can supply.

Why does specificity matter this much in writing?

Why specificity is the only proof you were thereSpecificity is the only thing a reader can use to judge whether an author has been there. Claims are cheap and every book in the category makes similar ones, so what separates them is whether the author can produce the particular: a number, a name, a specific afternoon. Those cannot be reasoned to, because either you were present or you were not. Anybody can say most home networks are poorly secured. What went into Family Cybersecurity was driving through a suburban neighbourhood with a laptop and finding 127 networks on default passwords and 43 with none, in about twenty minutes. The second version is not a better argument, it is the same argument with proof of presence attached.Why the particular carries the proofEither you were there or you were not. A number decides which.1The claim"Most home networks are poorly secured"Anybody can say this2It cannot be checkedEvery book in the categorymakes a similar one3The particular127 networks on default passwords43 with none. Twenty minutes.4Same argument, plus presenceWhich cannot be reasoned toby somebody who was not thereClaims are cheap. A number, a name, or a specific afternoon is not.
Why specificity is the only proof you were thereSpecificity is the only thing a reader can use to judge whether an author has been there. Claims are cheap and every book in the category makes similar ones, so what separates them is whether the author can produce the particular: a number, a name, a specific afternoon. Those cannot be reasoned to, because either you were present or you were not. Anybody can say most home networks are poorly secured. What went into Family Cybersecurity was driving through a suburban neighbourhood with a laptop and finding 127 networks on default passwords and 43 with none, in about twenty minutes. The second version is not a better argument, it is the same argument with proof of presence attached.Why the particular carries theproofEither you were there or you were not. A numberdecides which.1The claim"Most home networks are poorly secured"Anybody can say this2It cannot be checkedEvery book in the categorymakes a similar one3The particular127 networks on default passwords43 with none. Twenty minutes.4Same argument, plus presenceWhich cannot be reasoned toby somebody who was not thereClaims are cheap. A number, a name, or a specificafternoon is not.

Because it’s the only thing a reader can use to judge whether you’ve been there.

Claims are cheap and every book in the category makes similar ones. What separates them is whether the author can produce the particular. A number, a name, a specific afternoon. Those can’t be reasoned to. Either you were present or you weren’t.

I can tell you that most home networks are poorly secured. So can anybody. What I can also tell you, and what went into Family Cybersecurity, is that I drove through a suburban neighborhood with a laptop and found 127 networks on default passwords and 43 with none in about twenty minutes.

Before and after: Back the claim with the afternoon you were there
Before

Most home networks are poorly secured.

After

I drove through a suburban neighborhood with a laptop and found 127 networks on default passwords and 43 with none in about twenty minutes.

The same argument now comes with proof of presence, a detail no model could reason its way to.

The second version makes the same argument with proof of presence attached, and that proof is the reason a reader keeps going. An author with an afternoon like that in their past and a generic sentence in their manuscript is leaving their best evidence on the table.

The book on this: Behind the Wire couldn’t have been generated by anything, because it came out of a journal a man wrote after he got home.

Can you prompt your way around it?

Only by supplying the story yourself, and at that point the model is only formatting what you gave it. That’s a legitimate and useful thing to do. Give it the raw account, badly written, with the details in the wrong order, and ask it to tighten the structure. The result can be better than your draft. What you can’t do is ask it to supply the account. Any story it produces will be a synthesis, and a synthesis presented as personal experience is a fabrication with your name on it, a considerably larger problem than a flat chapter. I’d hold that line hard. Your story in the tool’s formatting is fine by me. The tool’s story under your byline lies to the people who trusted you enough to buy the book, and I won’t write one of those for anybody.

Are composite examples acceptable in business books?

They have a place, as long as the book says they’re composites.

Plenty of legitimate books use composites for confidentiality. A consultant who can’t name a client builds an illustrative case from several, says so, and the reader adjusts their expectations accordingly.

What fails is an undeclared composite presented with the detail of a real event. The reader assumes it happened, then finds out it didn’t, and every other claim in the book becomes suspect.

If you can’t use the real case, say the case is constructed. Admitting it costs you a sentence, and getting caught costs you the whole book. Authors who gamble on nobody checking are making a dumb bet, because readers do check, and the ones who catch it tell other readers.

The book on this: The Ghostwriting Advantage describes the interview process that gets these stories out through conversation.

How do you get your own stories out?

By being asked. That’s why interviews work and blank pages don’t.

Authors who gamble on nobody checking are making a dumb bet, because readers do check, and the ones who catch it tell other readers.

Memory doesn’t work by retrieval on demand. A question about a subject produces the general version. A question about a specific occasion produces the details, and a follow-up question produces the ones you’d forgotten you knew. That’s a conversational process and a model can’t start it, because it doesn’t know what to ask you about. It has no idea that something happened at a housewarming party in 2011, so it can’t ask about the ice.

The practical version for somebody writing alone: record yourself telling the story to a person. Don’t write it. Tell it. The details that arrive when somebody is listening aren’t the ones that arrive at a keyboard.

My take

Generated stories under your name are fabrications, and I won’t write one for anybody. Readers spot the composite client with the tidy problem within a paragraph. Then they doubt everything else you say. Hand the tool your own account, messy and out of order, and let it tighten the structure. Structure is a fine job for it. If you use composites for confidentiality, say so in the book. Undeclared ones cost you the reader’s trust.

What should the tool be doing instead?

Working on the material after you’ve supplied it. Tightening a rambling account. Suggesting where in a chapter a story would land best. Finding the three places you told the same anecdote in slightly different words. Producing a first structural pass so you can see the shape and rearrange it.

All of that is real work and it saves real time. None of it requires the tool to have been anywhere.

What to hand the tool and what to keep
Task Verdict Why
Tightening a rambling account you supplied Fine The model is formatting what you gave it
Suggesting where a story lands in a chapter Fine It works on material you supplied
Finding where you told the same anecdote twice Fine Real work that saves real time
A first structural pass Fine You can see the shape and rearrange it
Supplying your personal story No A synthesis presented as experience is a fabrication with your name on it
Composites declared as composites Acceptable Readers adjust their expectations
Undeclared composites No Getting caught makes every other claim suspect

The neighboring pieces cover the other gaps: AI never writes in your voice and the labor split that works on a book. The AI and Writing Hub has the rest, and my ghostwriting service is mostly six interview sessions and a lot of follow-up questions, for exactly this reason.

A book built on invented stories is a counterfeit, and I think the people selling AI as a way to skip the remembering are doing real harm to the authors who believe them. Your life is the one thing in the book nobody else can supply. Spend the hours getting it out of your head and onto the page, and let the tool clean up after you.

From the author
The Ghostwriting Advantage by Richard Lowe

The Ghostwriting Advantage
Your real stories are the part no model can invent. The Ghostwriting Advantage explains how a ghostwriter helps you get those stories into a finished book written for you.

Frequently Asked Questions

Why do AI-generated examples feel fake?
Because nothing in them is wasted. A generated example was assembled to make a point, so every detail serves the argument. Real accounts carry details that serve nothing, and that noise is what makes a reader believe the rest.
Can you prompt an AI into producing your personal stories?
No. You can supply the account yourself and have the model tighten the structure. That works well. Asking it to produce the account gives you a synthesis, and a synthesis presented as personal experience is a fabrication with your name on it.
Are composite examples acceptable in a business book?
Yes, when declared. Consultants who can’t name clients build illustrative cases from several and say so. What fails is an undeclared composite with the details of a real event, because being caught makes every other claim suspect.
How do you get your own stories out of your head?
By being asked. A question about a subject produces the general version, while a question about a specific occasion produces the details. Recording yourself telling a story to a person turns up details that never arrive at a keyboard.
What should AI do on a book instead of generating stories?
Work on material you supplied. Tightening a rambling account, suggesting where in a chapter it fits best, finding the three places you told the same anecdote differently, and producing a structural first pass you can rearrange.

About the Author
Richard Lowe, professional ghostwriter

Richard Lowe is a professional ghostwriter and author with 113+ books authored and 54+ ghostwritten. Before writing full time he spent 33 years in enterprise technology, including 20 years as Director of Computer Operations and Technical Services at Trader Joe's. He writes nonfiction, fiction and memoir, and works with executives and experts on books that build authority.

More about Richard Lowe →

Disclaimer

The views and opinions expressed in this blog post are solely those of Richard Lowe and are based on personal experience and research. This content is for informational purposes only and should not be construed as professional legal, financial, accounting, or business advice. Always consult with qualified professionals before making important business or legal decisions. Richard Lowe is not a lawyer, accountant, or licensed professional advisor, and this content does not establish any professional relationship.

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