NLFactory

I Stopped Fact-Checking My Newsletter. AI Does It Now.

I used to second-guess every statistic and claim in my summaries. Then I realized NLFactory was already catching my mistakes before they went out.

I Stopped Fact-Checking My Newsletter. AI Does It Now.

I caught myself mid-sentence last Tuesday. I was writing a summary about a tech funding round and I'd typed "$2.3 billion", but I wasn't sure if that was right. I had three browser tabs open, two Slack conversations, and a half-finished coffee. So I did what I always do: I stared at the number for five seconds, felt a small spike of anxiety, and moved on.

That's the moment I realized I'd been running my newsletter on hope.

The cost of writing fast and trusting your memory

I run a niche newsletter on venture capital news for about 800 subscribers. It's not my day job, but it's something I care about. My credibility in that space matters. The problem is the speed. I'm pulling from news feeds, Twitter, Substack posts, and investor updates. I'm trying to synthesize it all before 6 a.m. so people see it with their coffee.

And somewhere in that rush, accuracy gets fuzzy. I'd paraphrase a statistic from memory. I'd cite a company name and then wonder if I'd gotten the spelling right. I'd mention a date and feel that little gnaw of doubt: was it March or April?

I never published something I knew was wrong. But I published plenty of things I wasn't sure about. And that's worse, because my readers are smart. They notice. One person unsubscribed with a note: "You said the Series B was $50M but it was $45M. Why should I trust the rest?"

Fair point.

Why I couldn't just check everything myself

The obvious fix is to fact-check before you send. But that doubles the time. I'm already writing on a tight schedule. If I had to verify every number, every name, every date against the original source, I'd either need to start at 4 a.m. or cut my newsletter in half.

I looked at hiring someone. But for a newsletter that makes me no money? Doesn't work.

So I did what most people do: I accepted the risk and moved on. I just felt bad about it.

The moment I realized I'd been running my newsletter on hope was the moment I knew something had to change.

What changed when AI started checking my work

I started using NLFactory about three months ago. I was mostly interested in the time savings: the way it works is you feed it your sources and it builds the newsletter for you. But there's a feature I didn't expect to lean on this hard: built-in fact-checking.

Every summary that NLFactory generates gets flagged for accuracy. If a number looks off, if a name is misspelled, if a date doesn't match the source material, it catches it. Not perfectly, not always, but enough that I'm not publishing blind anymore.

Here's what actually happens: I write my angle or provide my sources. The AI writes the summary. Then it checks itself against what it pulled. If there's a discrepancy, it shows me the flag before the newsletter goes out.

I caught four errors in my last two weeks of newsletters. Four. One was a company name (I'd written "Stripe" when the article was about "Stripe Partners"). Two were dates. One was a statistic that the source had updated after I'd first read it.

None of them would've killed my credibility alone. But together, they would've added up to the kind of sloppiness that makes people unsubscribe.

The part that actually saves time

I thought the fact-checking would add steps. Instead, it cuts them.

Before NLFactory, I'd write something, feel unsure, then spend 10 minutes hunting through tabs to verify. Now I write, NLFactory flags the risky parts, and I either confirm or fix them in 30 seconds because I'm looking at the source right there.

It's the difference between "I'm not sure, let me go check" and "here's the problem, here's the fix."

My newsletter still goes out at the same time. But now I'm not crossing my fingers when it does.

Where the built-in fact-check layer comes in

If you're writing anything that matters (a newsletter, a summary, a brief) and you're doing it fast, you're already making accuracy tradeoffs. NLFactory doesn't eliminate that pressure, but it gives you a second set of eyes before you hit send. See what newsletters look like and how the fact-checking works as part of the process. You'll still make your own calls on what to include. But you won't accidentally publish something you didn't mean to.

Quick answers

How does AI fact-checking work in NLFactory newsletters?

NLFactory generates summaries from your sources, then checks them against the original material for discrepancies. If it finds issues like misspelled names, incorrect dates, or wrong statistics, it flags them before you send. You see the problem and the source side-by-side, so you can confirm or fix it in seconds.

What kind of errors does AI catch in newsletter writing?

The AI catches company name misspellings, incorrect dates, outdated statistics, and other factual discrepancies between your summary and source material. In my case, it found four errors over two weeks: a company name mistake, two date errors, and a statistic that had been updated after I first read it.

Does fact-checking with AI take more time to publish?

No, it actually saves time. Instead of spending ten minutes hunting through browser tabs to verify something you're unsure about, the AI flags risky parts and shows you the source immediately. You can confirm or fix issues in about thirty seconds, so your newsletter still ships on schedule.

Want a newsletter like this?

NLFactory turns any topic into a polished, AI-curated newsletter delivered on your schedule.

Start free →

I Stopped Fact-Checking My Newsletter. AI Does It Now.

NLFactory Podcast Mode

0:00

🎙️ You're hearing NLFactory Podcast Mode. Add audio like this to your newsletters →