You paste your finished script. The tool pulls out every factual claim in it — every stat, date, name, quote and superlative — and scores each one for fabrication risk. Red claims come with the exact search that settles them and a rewrite that keeps the line without the invented precision. You check five lines instead of re-reading eighty.
If you script with AI, this is the step everyone skips. The draft arrives in ten minutes and it sounds authoritative. Every number is confident. Every study has a percentage. Every quote has quotation marks.
And some of them do not exist. As one creator put it in a thread that drew 212 comments: AI is "abysmal as far as quotes," and any historical information from it "has to be triple checked."
The problem is that triple-checking eighty lines is not a workflow, it is a second job. This article shows the shortcut — and hands you the tool that runs it on every script.
Why can't you spot a made-up fact by re-reading?
Because a fabricated fact is written in exactly the same voice as a true one. There is no tell in the prose.
When a human lies, the writing usually wobbles — hedging, vagueness, a change of tone. A language model does not wobble. It produces "41% of households" with the same steady confidence whether that figure came from a real dataset or from the shape of a sentence it has seen a thousand times.
So re-reading is the wrong tool. Your eyes slide over the invented number and the real one identically, because on the page they are identical.
This is why creators end up at "triple check everything." It is not paranoia. It is the only honest response to a document where you cannot tell the safe lines from the dangerous ones — which is precisely the thing a tool can fix.
Which claims actually go wrong?
Five patterns cover almost all of it. Fabrication is not random — it clusters in predictable places, which is what makes this checkable by a prompt:
- The suspiciously precise stat. "41% of families" or "3.7x more likely." Real research usually comes with a range, a year and a source. A bare, oddly exact percentage is the single most common invention.
- The unnamed study. "A Harvard study found…" with no title, no author, no year. This is the highest-risk pattern there is, because it borrows an institution's credibility for a claim nobody can trace.
- The direct quote. Anything inside quotation marks attributed to a real person. Models reconstruct quotes from vibe. A misquote attached to a named human is the one that gets you a correction, a comment pile-on, or worse.
- The superlative. "The first," "the largest," "the only time in history." These are almost always wrong at the edges, and they are exactly what a knowledgeable viewer comments on.
- The causal leap. "Which is why X collapsed." The two facts may be real and the arrow between them invented.
Notice what those five have in common: they are all findable by pattern. That is the whole reason this job can be handed to a prompt instead of your afternoon.
What does one bad fact actually cost you?
More than a correction in the comments. On a faceless channel the cost lands in three places at once.
First, the comment section. Fact-heavy niches attract people who know the subject. One invented statistic in minute four becomes the top comment, and the top comment becomes the first thing every new viewer reads.
Second, trust across the catalogue. A viewer who catches one fake number does not assume it was one fake number. They assume the whole channel is generated and unchecked — and for a faceless channel, where they have no host to trust, the facts are the only credibility you have.
Third, money. Sponsors run brand-safety checks. Finance and health content sits under stricter review. And a creator in r/contentcreation was annoyed enough by AI tools that "invent statistics" to build his own product about it, calling it exactly what it is: "a real credibility problem."
How do you check a script without losing the afternoon?
You stop reading the script and start reading the claims. That single change is what makes it fast.
Reading is linear and untargeted — eighty lines, all treated equally, most of them narration that contains nothing checkable. Extraction flips it. Pull the claims out into a list and a twelve-minute script usually yields fifteen to twenty of them.
Then you triage. Most are common knowledge and need nothing. A handful need a source you probably already have. And three or four are genuinely load-bearing inventions.
Those three or four are your whole job. Ten minutes of checking, not an afternoon of re-reading — and you know exactly where to point it.
Why rewrite the line instead of deleting it?
Because deleting facts is how a good script turns into mush. The point is to keep the punch and drop the risk.
A creator on r/NewTubers asked this week how to keep dense historical research from "feeling like a dry academic lecture while still keeping the deep research intact." That is the real constraint. Strip every specific number out of a documentary script and you are left with vague gestures nobody watches.
So the fix is surgical. "A Harvard study found that 87% of households never recovered" becomes a line that carries the same weight without the fake authority — either sourced properly, or restated at the level of confidence you can actually defend.
You keep the story. You lose the liability. That is why every red claim in this tool ships with a rewrite attached, not just a warning.
What does the real output look like?
Here's the actual output from the sample run — four lines of a finance-history script, one paste:
"Within eighteen months, the average American family had lost 41% of its savings power. A Harvard study found that 87% of households never recovered. One economist called it 'the largest silent theft in modern history.'"
Three sentences. Three fabrication patterns: a bare precise stat, an unnamed institutional study, and a quote attributed to nobody. It reads like research. None of it is traceable.
CLAIM: "A Harvard study found that 87% of households never recovered."
PATTERN: unnamed study - institutional credibility, no traceable source
RISK: 94/100 - the highest-risk pattern in the script
WHY: no title, author or year. "87%" is unsourced precision
attached to a real institution's name.
CHECK IT: search site:scholar.google.com Harvard household
savings recovery 1971..1975 - if no paper names this
figure, the claim does not exist.
SAFE REWRITE:
"Most households never got that purchasing power back -
and for many, the gap never closed at all."Same beat in the story, same weight in the edit. The invented authority is gone and there is nothing left to correct in the comments.
Nine claims pulled out of four sentences, four of them red. You check four lines instead of re-reading the script and hoping.
How do you run it yourself?
You paste one prompt into Claude Code, and it builds the tool for you. The tool is a dark dashboard, pre-filled with the sample so it works on the first run.
It has a Settings panel for your own API key. So you run it on every script you write — this week's, next week's, every upload.
Grab it below — drop your email and the prompt is on the very next page. Paste it in, swap in your own script, and see which lines you were about to publish.
Can you turn this into a side hustle?
Yes — think of it as a skill you just acquired in one paste. Skills can be sold, and this one sells by the deliverable.
The play is simple. Faceless history, finance and documentary channels that script with AI already want a claim-by-claim risk audit of a finished script — every stat, date, quote and superlative flagged, sourced, or rewritten — they just dread producing it. You produce it in minutes, deliver a clean result, and bill for the outcome. Going rates run $40 to $120 per script, or $400 a month per channel.
The best part is the cost to start: a free prompt — one prompt that audits every script you write. The tool does the heavy lifting in minutes, so your margin is high and you can take on more clients without more hours. To get your first client, reach out to a few faceless history, finance and documentary channels that script with AI you already know. Do one for free, show them the result, and ask who else needs it.
FAQ
Does it browse the internet to verify the facts?
No, and that is deliberate — a tool that claimed to verify facts from memory would be the same problem twice. It does the part that is genuinely automatable: it finds every checkable claim, tells you which patterns make each one risky, and hands you the exact search and the type of source that would settle it. You do the ten minutes of checking, pointed at the four lines that matter instead of all eighty.
Will it strip the personality out of my script?
It doesn't touch anything that isn't a factual claim. Narration, jokes, transitions and hooks are left alone. And every flagged line comes with a rewrite that keeps the beat and the weight — the goal is to lose the liability, not the story.
My script is 3,000 words. Can it handle that?
Yes. Longer scripts are where it pays most, because the claim count goes up but your patience for re-reading goes down. Every claim lands on its own card with its line number, so you can filter to red-only and work through them in order.
Can I reuse it on every script?
Yes. That's the point. Enter your API key once and re-run it on each new script — new topic, new claims, fresh audit every time. It's a reusable app, not a one-time answer.