When AI Lost the Plot

How a quiet English lineage turned into a political scandal and what it taught me about truth, technology, and trust.

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I use AI almost daily and have written and presented on it for nearly two years. But a recent experience left me completely baffled and more than a little uneasy.

I’ve been working on my final family genealogy book, this one tracing our Great Britain ancestry. My previous four books came together easily earlier this year because my notes were meticulous, my colleagues had verified my findings, and I’d been blogging about those ancestors for ten years.

Our British roots, though, are a different beast. Between my husband’s lines and mine, there are only five but they reach deep into medieval soil. Scholars can’t always agree on the pedigrees, and the repeated use of the same names has led to confusion and overlap. Sorting it all out requires patience, precision, and a love of historical detective work.

Last spring, when winter refused to obey the calendar, I drafted the outline and introduction for my new book, Echoes of Britannia. Then the season’s speaking engagements and client projects took over, and I set the manuscript aside with plans to finish it this fall.

When I returned to it in September, progress came slowly. My writing rhythm faltered, and I found myself staring at the same sentence for far too long. Grammarly could fix the punctuation, but it couldn’t fix writer’s block. My AI research assistant, Geni, usually helps bridge the gaps between genealogical sketches but apparently, he was blocked too.

We were working on the Venables of Kinderton, a noble but quiet family from Cheshire. They lived out their days peacefully, kept out of court battles, and occasionally donated a stained-glass window to a nearby abbey. In other words, wholesome and uneventful.

Until AI got involved.

My writing style isn’t the typical “Josiah begot Daniel who begot Uriah who begot…” genealogy. My family would fall asleep halfway through the second begot. They don’t like numbering systems either, even though they’re math people, not history people. Me? I’d rather run laps in PE than solve for X.

That’s why AI has been such a useful partner. Geni understands that I’m a storyteller who insists on historical truth, even when it’s messy. I like to think I’ve created a new genre: bedtime family stories with pictures for visual learners.

But one day, Geni froze mid-thought. After several failed attempts, I switched to another AI tool, Claude. I don’t use it often, but it greeted me warmly by name, which felt encouraging. I gave it a straightforward task:

“From the provided information, maintain all footnotes while making the narrative more engaging. Keep the tone conversational for readers with limited historical background.”

What came back stunned me.

The Venables, my mild, landholding, church-donating family, had been transformed into a political thriller. Claude had rewritten the story to liken them to a well-known modern politician, naming names and all. Suddenly, the Venables were misogynistic felons clawing for power.

I was horrified. I hit “thumbs down” and deleted it instantly.

A week later, I still couldn’t shake it. How could a neutral story about medieval gentry morph into a contemporary political allegory? Who gave the machine permission to do that?

My only conclusion: some AIs are now reflecting the political biases of the data they’re trained on. If their training includes modern news, it stands to reason that bias slips in and it shows.

That realization made me pause. AI is supposed to help us see patterns, not project agendas. As genealogists, we work hard to separate fact from family legend. Shouldn’t we expect the same integrity from our digital tools?

I chose not to share the story on Facebook. The last thing our country needs is another spark thrown into the bonfire of division. But I also felt this moment needed to be shared, not as outrage, but as a reminder.

We live in an era where algorithms, headlines, and echo chambers can reshape our understanding of truth. It’s up to us, researchers, writers, and everyday citizens , to hold fast to kindness, empathy, respect, honesty, and responsibility. These aren’t partisan ideals; they’re the foundation of human decency.

And as for those Venables? I’ve decided to let them rest a while. I’ll return to them soon, with fresh eyes and a renewed respect for their quiet simplicity.

Because sometimes, living a peaceful life that harms no one isn’t boring at all, it’s the truest kind of legacy.

How to Clean Your Ancestry Tree Without Paying for Pro Tools Part 3

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For the past two weeks I’ve been blogging about Ancestry.com’s Pro Tools. You can read about my experience here and here.

Today, I’m going to show you how to clean your Ancestry tree without paying for Pro Tools. It’s super easy and honestly, I wish I’d thought of this years ago.

Start by picking a free or low-cost software program. Family Tree Maker and RootsMagic both sync directly with Ancestry. RootsMagic Essentials is free, but large trees can slow it down (I blogged about that here). If you don’t need access to your photos or documents and just want to focus on fixing errors, you can also download your tree as a GEDCOM and import it into Legacy Family Tree, which is what I did.

I kept things simple. I didn’t need media files for the check up, I just wanted to identify structural problems in my tree.

Here’s how to do it:

  1. On Ancestry, go to your tree.
  2. Click Tree Settings under Trees > Create & Manage Trees.
  3. Scroll down and select Export Tree.
  4. Once complete, download the file to your computer (it usually lands in your Downloads folder or OneDrive).
  5. Open your genealogy software and import the GEDCOM.
  6. Run the problem checker.

If you run into trouble with the software, you can literally ask ChatGPT (aka Geni!) for help. That’s how I found this entire workaround.

Once your tree is loaded, use the software’s built-in tools to flag potential problems. In Legacy, I went to Tools > Potential Problems. I set criteria to mirror the kinds of problems flagged by Ancestry’s Pro Tools, things like parents being too young, children born after a parent’s death, and so on.

One downside: Legacy doesn’t flag individuals with no sources, which was one of the main issues Pro Tools surfaced. But what Legacy did reveal was surprising and far more accurate.

Here’s the report I got from Legacy (the error types flagged by Ancestry are in red):

Let that sink in: 940 total errors, almost all of which are legitimate and actionable. Of that, there was only 55 errors that Ancestry claimed was 301 and they didn’t identify these people! I plan on cleaning up all of the errors Legacy found as having two individuals over age 110 years is a problem Ancestry should have discovered. And the individuals with no sex given? That is a continual flaw in Ancestry’s system when you are adding new individuals.

Unlike Ancestry’s Tree Checker, which falsely flagged over 10,000+ records in my tree, Legacy gave me a clean, accurate list I could work with. I now have the names and the issues. I’m going through them one by one and making the corrections directly in my Ancestry tree, since that’s still my primary working tree. I’ll continue syncing it with Family Tree Maker.

And if I get another $7 Pro Tools offer in the future? Sure, I might try it again just to check whether they’ve cleaned up the bugs. But I’ll cancel it right after. Because let’s be honest:

If Ancestry really wants our trees to be accurate, they should provide these tools for free.

We are already paying for the data, the DNA, the platform and in many cases, contributing our own hard-earned research. Charging extra for a tree-checking feature (that doesn’t even work right) feels like asking users to fix the foundation of the house they already paid to build.

So, skip the upsell. Use free software. Clean your tree with confidence. And let’s keep our standards higher than their price tags.