52 AI Ancestors in 52 Weeks: A 2025 index

Dedication

To those who carry the torch —

the ones who remember,

the ones who ask,

and the ones who keep the stories burning.

It has been so very fun meeting the challenge! I thank Amy Johnson Crow and Steve Little for the inspiration. I truly didn’t think I’d manage to do all 52 weeks, but it was addictive. Even when I felt uninspired and just did short posts, there’s always a learning.

News: I’ve decided to do another twist on the 52 ancestors challenge in 2026 – stay tuned! And I now have a named domain for this blog, The Ancestor Whisperer, with thanks to Megan Smolenyak, who generously redirected payment to Reclaim the Records.

Thank you for reading. ❤ Please find a quick index below.

Week 1 — In the Beginning, featuring Edith Lillian MAKEY WEST
https://janetbgenealogy.wordpress.com/2025/01/04/52-ai-ancestors-in-52-weeks-week-1-in-the-beginning/

Week 2 — Favorite Photo, featuring Oscar SMITH
https://janetbgenealogy.wordpress.com/2025/01/11/52-ai-ancestors-in-52-weeks-week-2-favorite-photo/

Week 3 — Nickname, featuring Mary Agnes HART CAREY
https://janetbgenealogy.wordpress.com/2025/01/18/52-ai-ancestors-in-52-weeks-week-3-nickname/

Week 4 — Overlooked, featuring Andrew DRISKOL
https://janetbgenealogy.wordpress.com/2025/01/25/52-ai-ancestors-in-52-weeks-week-4-overlooked/

Week 5 — Challenge, featuring Theresa KILKENNY ANDERSON
https://janetbgenealogy.wordpress.com/2025/02/01/52-ai-ancestors-in-52-weeks-week-5-challenge/

Week 6 — Surprise!, featuring Cornelius BRITTON
https://janetbgenealogy.wordpress.com/2025/02/08/52-ai-ancestors-in-52-weeks-week-6-surprise/

Week 7 — Letters and Diaries, featuring Patience P. SPIEGLE WEST
https://janetbgenealogy.wordpress.com/2025/02/15/52-ai-ancestors-in-52-weeks-week-7-letters-and-diaries/

Week 8 — Migration, featuring Janet ANDERSON BLAKE
https://janetbgenealogy.wordpress.com/2025/02/22/52-ai-ancestors-in-52-weeks-week-8-migration/

Week 9 — Family Secrets, featuring James HART
https://janetbgenealogy.wordpress.com/2025/03/01/52-ai-ancestors-in-52-weeks-week-9-family-secrets/

Week 10 — Siblings, featuring Lydia Coral WEST and Grace WEST CROZIER
https://janetbgenealogy.wordpress.com/2025/03/08/52-ai-ancestors-in-52-weeks-week-10-siblings/

Week 11 — Brick Wall, featuring Mary TIEBOUT YOUNG
https://janetbgenealogy.wordpress.com/2025/03/15/52-ai-ancestors-in-52-weeks-week-11-brick-wall/

Week 12 — Historic event, featuring Francis William CAREY
https://janetbgenealogy.wordpress.com/2025/03/22/52-ai-ancestors-in-52-weeks-week-12-historic-event/

Week 13 — Home sweet home, featuring 73 Dongan Avenue
https://janetbgenealogy.wordpress.com/2025/03/29/52-ai-ancestors-in-52-weeks-week-13-home-sweet-home/

Week 14 — Language, featuring Robert Edward ANDERSON
https://janetbgenealogy.wordpress.com/2025/04/05/52-ai-ancestors-in-52-weeks-week-14-language/

Week 15 — Big mistake, featuring Mary Agnes HART CAREY and Francis William CAREY
https://janetbgenealogy.wordpress.com/2025/04/12/52-ai-ancestors-in-52-weeks-week-15-big-mistake/

Week 16 — Oldest story, featuring Louis THIBOU
https://janetbgenealogy.wordpress.com/2025/04/16/52-ai-ancestors-in-52-weeks-week-16-oldest-story/

Week 17 — DNA, featuring A. Gordon WEST
https://janetbgenealogy.wordpress.com/2025/04/19/52-ai-ancestors-in-52-weeks-week-17-dna/

Week 18 — Institutions, featuring Robert E. Anderson
https://janetbgenealogy.wordpress.com/2025/04/26/52-ai-ancestors-in-52-weeks-week-18-institutions/

Memorable quote: “A scholarship endowment is more than a donation; it’s a promise to future dreamers that someone believes in their journey.”

Week 19 — At the Library, featuring Janet ANDERSON BLAKE
https://janetbgenealogy.wordpress.com/2025/05/03/52-ai-ancestors-in-52-weeks-week-19-at-the-library/

Week 20 — Wheels, featuring Robert E. ANDERSON
https://janetbgenealogy.wordpress.com/2025/05/10/52-ai-ancestors-in-52-weeks-week-20-wheels/

Week 21 — Military, featuring Henry Denny, John Thomas WEST, William P. SPEAGLES, and Robert J. ANDERSON
https://janetbgenealogy.wordpress.com/2025/05/17/52-ai-ancestors-in-52-weeks-week-21-military/

Week 22 — Reunion, featuring my son
https://janetbgenealogy.wordpress.com/2025/05/24/52-ai-ancestors-in-52-weeks-week-22-reunion/

Week 23 — Wedding bells, featuring Ida RABINOWITZ GOODE and Samuel GOODE
https://janetbgenealogy.wordpress.com/2025/05/31/52-ai-ancestors-in-52-weeks-week-23-wedding-bells/

Week 24 — Artistic, featuring Lydia Coral WEST
https://janetbgenealogy.wordpress.com/2025/06/07/52-ai-ancestors-in-52-weeks-week-24-artistic/

Week 25 — FAN Club, featuring Anna FRANK BIRNBAUM and Samuel BIRNBAUM
https://janetbgenealogy.wordpress.com/2025/06/14/52-ai-ancestors-in-52-weeks-week-25-fan-club/

Week 26 — Favorite name, featuring Edith Lillian MAKEY WEST
https://janetbgenealogy.wordpress.com/2025/06/21/52-ai-ancestors-in-52-weeks-week-26-favorite-name/

Week 27 — Family business, featuring John WEST
https://janetbgenealogy.wordpress.com/2025/06/28/52-ai-ancestors-in-52-weeks-week-27-family-business/

Week 28 — Travel, featuring Edith MAKEY WEST
https://janetbgenealogy.wordpress.com/2025/07/05/52-ai-ancestors-in-52-weeks-week-28-travel/

Week 29 — Cousins, featuring Grace Brewster MURRAY HOPPER
https://janetbgenealogy.wordpress.com/2025/07/12/52-ai-ancestors-in-52-weeks-week-29-cousins/

Week 30 — Religious traditions, featuring various
https://janetbgenealogy.wordpress.com/2025/07/19/52-ai-ancestors-in-52-weeks-week-30-religious-traditions/

Week 31 — Earliest Ancestor, featuring Philippe du TRIEUX and Jaquemyne NOIRET du TRIEUX
https://janetbgenealogy.wordpress.com/2025/07/26/52-ai-ancestors-in-52-weeks-week-31-earliest-ancestor/

Week 32 — Wide open spaces, featuring Michael DOBBINS
https://janetbgenealogy.wordpress.com/2025/08/02/52-ai-ancestors-in-52-weeks-week-32-wide-open-spaces/

Week 33 — Legal troubles, featuring John WEST
https://janetbgenealogy.wordpress.com/2025/08/09/52-ai-ancestors-in-52-weeks-week-33-legal-troubles/

Week 34 — Play time, featuring A. Gordon WEST
https://janetbgenealogy.wordpress.com/2025/08/16/52-ai-ancestors-in-52-weeks-week-34-play-time/

Week 35 — Off to Work, featuring A. Gordon WEST
https://janetbgenealogy.wordpress.com/2025/08/23/52-ai-ancestors-in-52-weeks-week-35-off-to-work/

Week 36 — Off to school, featuring my son
https://janetbgenealogy.wordpress.com/2025/08/30/52-ai-ancestors-in-52-weeks-week-36-off-to-school/

Week 37 — In the News, featuring various
https://janetbgenealogy.wordpress.com/2025/09/06/52-ai-ancestors-in-52-weeks-week-37-in-the-news/

Week 38 — Animals, featuring Henry MAKEY
https://janetbgenealogy.wordpress.com/2025/09/13/52-ai-ancestors-in-52-weeks-week-38-animals/

Week 39 — Disappeared, featuring Andrew DRISKOL
https://janetbgenealogy.wordpress.com/2025/09/20/52-ai-ancestors-in-52-weeks-week-39-disappeared/

Week 40 — Cemetery, featuring Jennie FELDER FRANK
https://janetbgenealogy.wordpress.com/2025/09/27/52-ai-ancestors-in-52-weeks-week-40-cemetery/

Week 41 — Water, featuring John T. WEST and Patience SPIEGLE WEST
https://janetbgenealogy.wordpress.com/2025/10/04/52-ai-ancestors-in-52-weeks-week-41-water/

Week 42 — Fire, featuring John T. WEST
https://janetbgenealogy.wordpress.com/2025/10/11/52-ai-ancestors-in-52-weeks-week-42-fire/

Week 43 — Urban, featuring Jason SMITH
https://janetbgenealogy.wordpress.com/2025/10/18/52-ai-ancestors-in-52-weeks-week-43-urban/

Week 44 — Rural, featuring A. Gordon WEST
https://janetbgenealogy.wordpress.com/2025/10/25/52-ai-ancestors-in-52-weeks-week-44-rural/

Week 45 — Multiple, featuring Charlotte DuSHANNON WEST
https://janetbgenealogy.wordpress.com/2025/11/01/52-ai-ancestors-in-52-weeks-week-45-multiple/

Week 46 — Wartime, featuring Stephen BARKER
https://janetbgenealogy.wordpress.com/2025/11/08/52-ai-ancestors-in-52-weeks-week-46-wartime/

Week 47 — The Name’s the Same, featuring Nathaniel BRITTON
https://janetbgenealogy.wordpress.com/2025/11/15/52-ai-ancestors-in-52-weeks-week-47-the-names-the-same/

Week 48 — Family recipe, featuring Edith Lillian MAKEY WEST
https://janetbgenealogy.wordpress.com/2025/11/22/52-ai-ancestors-in-52-weeks-week-48-family-recipe/

Week 49 — Written, featuring Robert E. ANDERSON
https://janetbgenealogy.wordpress.com/2025/11/29/52-ai-ancestors-in-52-weeks-week-49-written/

Week 50 — Family heirloom, featuring Alice BRITTON MAKEY
https://janetbgenealogy.wordpress.com/2025/12/06/52-ai-ancestors-in-52-weeks-week-50-family-heirloom/

Week 51 — Musical, featuring Rose CAREY ANDERSON and Edward Joseph ANDERSON
https://janetbgenealogy.wordpress.com/2025/12/19/52-ai-ancestors-in-52-weeks-week-51-musical/

Week 52 — Memorable, featuring all
https://janetbgenealogy.wordpress.com/2025/12/27/52-ai-ancestors-in-52-weeks-week-52-memorable/

52 AI Ancestors in 52 Weeks: Week 52: Memorable

I’ve combined Amy Johnson Crow’s 52 ancestors in 52 weeks challenge, and Steve Little’s The 2025 AI Genealogy Do-Over, to create a unique 52 AI ancestors in 52 weeks party!

52 AI Ancestors in 52 Weeks: Week 52: Memorable

“In Memory of those who have gone and in thought of those who are to follow.”
— John Edwin Stillwell, M.D. (1850–1930)

This final post isn’t about one particular ancestor. It’s about all of them.

Every name, every face, every fragment of a life uncovered in the past 52 weeks has added weight, color, and texture to my understanding of who I am, and who we are, as a people. With each ancestor researched through the combination of traditional genealogy and the assistance of AI, I wasn’t just gathering names for a tree. I was gathering stories for a mirror.

“History remembers only the celebrated, genealogy remembers them all.”
— attributed to Laurence Overmire

These 52 stories reminded me that every person in our lineage, no matter how quiet their footprint, left a mark on the world we now live in. From unnamed daughters to war widows, from coal miners to schoolteachers, their resilience speaks across time.

Image created 22Dec2025 by Google Gemini’s Nano Banana
“generate a family tree but with faces instead of names”

What Made This Year Memorable

I started this AI-enhanced journey curious. Could artificial intelligence really help me connect with my ancestors? Turns out, it could help organize, interpret, and spark connections I might’ve otherwise missed. But the heart of each story still came from the very human experience of wondering: What would I have done in their shoes?

Week by week, I found myself growing more compassionate. Not just toward the people in my tree, but toward people in my life. Struggles I used to see as personal failings – financial troubles, lost children, fractured families – started to look a lot more like patterns of human survival. Universal. Enduring. Shared.

Researching these ancestors didn’t just bring me closer to the past. It brought me closer to people in the present.

How AI Played Its Role

AI was my lab assistant: sorting census details, cleaning up timelines, nudging me to look at things from a new angle. It never tried to be the storyteller, and that was the beauty of it. Tools like ChatGPT helped me brainstorm questions, dive into social history, and even imagine how I might show information more clearly. But the meaning and the emotions are mine and always will be.

Challenge for You: One Last Time

I’ll leave you with one final challenge:
Take a moment to reflect on your own “all of them.” Not just the ancestors whose names you know, but the ones who left behind no photographs, no letters, maybe not even a gravestone. Imagine what they endured, and what they hoped for.

Write them a note. Light a candle. Tell someone their name. And if you’re inclined, try letting AI help you tell their story next time. You might be surprised what comes back.

Want to Learn More?

You can review the full 52 weeks of AI-assisted ancestor stories here: https://janetbgenealogy.wordpress.com/category/52-ancestors-in-52-weeks/

And if you’re curious about the AI Genealogy Do-Over that inspired this blend of tech and tradition, check out Steve Little’s work at AI Genealogy Insights.

And the major inspiration for this series was 52 Ancestors in 52 Weeks.


AI Disclosure

This post was created by me with the help of AI tools. While AI helps organize research, the storytelling and discoveries are my own.

Next Week’s Topic: This series may be complete, but the stories aren’t. What would you like to explore next?

52 AI Ancestors in 52 Weeks: Week 51: Musical

I’ve combined Amy Johnson Crow’s 52 ancestors in 52 weeks challenge, and Steve Little’s The 2025 AI Genealogy Do-Over, to create a unique 52 AI ancestors in 52 weeks party!

52 AI Ancestors in 52 Weeks: Week 51: Musical

Introduction

Some families have musicians. Others have musical moments. This week’s theme, Musical, invited us to recall the songs, sounds, and dance steps that echo through our family history.

Our family didn’t pass down a violin or leave behind a trail of concert programs – but they did pass down a story. Or at least, part of one.

Rose Elizabeth Carey met Edward Joseph Anderson at a dance hall. That much is certain. The rest? Well, that’s where the fun begins.

The Discussion

Here’s what we know for sure, according to family records:

  • Rose Carey was born in Harlem (in upper Manhattan) in 1916, worked at Western Union, and married Edward Anderson in 1939.
  • Edward “Ed” Anderson, a Staten Island-born accountant, was methodical, soft-spoken, and a baseball fanatic. After he grew up in a Staten Island orphanage, he moved to Manhattan, likely for work.
  • They met at a dance hall, likely in Manhattan, sometime in the late 1930s. Dance halls in NYC were especially vibrant spaces for working-class people to socialize, particularly young women like these two.

And that’s it. No song titles. No saved stubs. No love letters with lipstick kisses. Just a setting, and an invitation to imagine.

So let’s imagine:

It’s Saturday night. The dance floor is full. A swing band plays something peppy: maybe Benny Goodman, maybe Glenn Miller. A pretty young woman steps onto the floor. She’s got a confident smile and the kind of red lipstick that holds up through laughter. That’s Rose.

Across the room, a tall man with serious eyes and polished shoes watches. That’s Ed.

Maybe he doesn’t dance much. Maybe she dances with everyone. Maybe the music carries them both.

“Would you like to dance?”
“I thought you’d never ask.”

In our version of the story, they dance until the band plays a slow number: “Stardust”, let’s say, and they don’t even notice the room around them anymore. Just each other.

Did it really happen that way? Probably not. But the truth – they met at a dance – is an invitation to color in the rest.

Figure 1 An AI-generated image seeded with a wedding photo of my grandparents.

How AI Can Help

AI didn’t give me this memory, but it gave me the tools to shape it into a story.

Using AI tools like ChatGPT, you can:

  • Turn a one-sentence family fact into a vivid blog post.
  • Imagine period-appropriate music or fashion from a given date.
  • Research common songs at 1930s dance halls in Manhattan.
  • Even generate images or playlists to accompany the story.

It’s not about rewriting history, it’s about making it easier to picture, and more fun to tell.

Challenge for Readers

This week, try one of these:

  • Find a family couple whose meeting story you’ve never fully explored. What setting were they in? What music might’ve been playing?
  • Pick a decade and imagine the soundtrack your ancestor would’ve heard most often. Were they swing? Gospel? Polka? Protest folk?
  • Call an older relative and ask if they remember dancing—and to what. Sometimes the best stories aren’t about songs, but about who sang them.

For More Information

Next Week’s Topic (last one!): “Memorable”

AI Disclosure

This post was created by me with the help of AI tools. While AI helps organize research, the storytelling and discoveries are my own.

52 AI Ancestors in 52 Weeks: Week 50: Family heirloom

I’ve combined Amy Johnson Crow’s 52 ancestors in 52 weeks challenge, and Steve Little’s The 2025 AI Genealogy Do-Over, to create a unique 52 AI ancestors in 52 weeks party!

52 AI Ancestors in 52 Weeks: Week 50: Family heirloom

Introduction

My grandmother, Edith Lillian MAKEY WEST (1913-1997)’s mother was a BRITTON, who died when Grandma was just 3 years old.

When Grandma’s dad was widowed, he sent the children to live with his wife’s sister until he remarried, about 2 years later. This was just part of a long and enduring closeness in the family – Grandma always spoke fondly of Aunt Edith (her namesake), who never had children of her own.

Discussion

I strongly suspect it was Aunt Edith who, in the absence of a mother, helped Grandma to feel close to her maternal family and line. Grandma was always proud to be a Britton and always wondered if she was part of the old Staten Island New York BRITTON line (spoiler: she was). Grandma inherited many old family photos which I am now fortunate to have – a few of them identified, many tentatively identified, and some a mystery to this day.

I think it was this effort at connection that made the “B” forks that Grandma inherited extra precious to her. She proudly passed them on to me. I put one in a shadow box and proudly hung it up on display. (With a detailed label in the back, of course!)

When my future daughter-in-law came to visit, she was so nervous she accidentally knocked the shadow box off the wall. It came apart slightly, but I put it right back up. I’ve never fixed the crack. It’s a quiet reminder that all of us carry flaws – and we’re still worth displaying. Who knows, someday I may pass those forks down to her.  

Figure 1 Private collection of the author, photographed 2025

How AI Can Help

We often think of artificial intelligence as something high-tech and hands-off—but sometimes, it’s as down-to-earth as helping us label a fork.

Take this handwritten note, for instance. It tells the story of a simple family fork passed down through generations—from Alice Britton Makey to Edith Lillian Makey West, and eventually to me. It’s personal, precious, and easily lost in the shuffle of old photos, papers, and drawer ephemera.

Figure 2 Label from Britton fork, photographed December 2025. Private collection of the author

That’s where AI comes in.

1. Reading Handwriting

Using free apps or tools like Google Lens, Microsoft OneNote, or even genealogy-focused AI tools like Transkribus, you can snap a picture of a handwritten label like this one. AI can then transcribe it, turning it into searchable text. Suddenly, “This is a Britton fork…” becomes something you can find in your digital files, even if you forgot which folder you stashed it in.

2. Creating a Digital Heirloom Catalog

Once your handwritten notes are transcribed, AI can help catalog your heirlooms. Pair the text with a photo of the object and upload both to:

  • Google Photos (with searchable tags)
  • FamilySearch’s Memories section
  • A private blog, shared album, or even a spreadsheet

Some AI tools (like Notion AI or Mem.ai) can also help you organize stories, people, and photos; linking objects with relatives, dates, and locations.

3. Finding Hidden Clues

AI can help you recognize names, places, and patterns you might miss. Is “Alice Britton Makey” showing up in census records you hadn’t noticed? Does the handwriting match other letters in your collection? With a little help, AI can connect the dots across generations – and across the pages in your shoebox.

4. Let AI Help You Cite Your Sources

I highly recommend Dr. Tom Jones for citation help – one of his courses, or his book Mastering Genealogical Documentation. But, if I may be blunt, a half-assed sourcing is better than no sourcing. Just do it! Let AI help you create a source citation: ask for one in the style of the Chicago Manual of Style (which genealogical citations are based on). Tools like ChatGPT or Claude can take your messy notes and return a decent first draft. It’s not cheating, it’s documenting smarter.

Challenge for Readers

This week, try this:

  1. Take a photo of a label, note, or handwritten item from your collection.
  2. Use a free app (like Google Lens or OneNote) to convert it into text.
  3. Pair the text with a photo of the item in a digital file or document.

Bonus round: Ask AI to suggest which ancestor the item might belong to based on names mentioned in the text. You might get a match you hadn’t considered.

Want to Learn More?

Cataloging Ephemera & Heirlooms

Whether it’s a fork, a photograph, or a funeral card, ephemera deserves a safe, searchable home. These tools and guides can help:

  • FamilySearch Memories – A free space to upload photos, documents, and heirloom stories. Connects to your family tree. https://www.familysearch.org/memories
  • Google Photos – Use searchable tags and facial recognition to keep track of who’s who and what’s what. Great for visual cataloging.
  • Notion or Airtable – Create your own digital heirloom tracker with images, tags, and notes. (For spreadsheet lovers and chaos wranglers.)

Citing Genealogical Sources (Without the Fear)

If you’ve ever stared at a census record and wondered, “How exactly do I cite this without summoning Elizabeth Shown Mills in a puff of citation smoke?”, you’re not alone.

  • Evidence Explained by Elizabeth Shown Mills – The gold standard for genealogical citations. Not just for academics. Her companion website is a treasure trove of citation models and how-tos. https://www.evidenceexplained.com
  • FamilySearch Wiki: Source Citations – Beginner-friendly and surprisingly thorough. https://www.familysearch.org/en/wiki/Source_Citation_Guide
  • Cite-Builder Tools – Some genealogy sites like Ancestry and MyHeritage now offer automatic citation builders. Use with care, and a grain of salt. They’re generally better at citing the record group than your individual find.

And don’t forget: your heirloom’s story is a source. If you’ve got a label, inscription, or oral history, document where it came from. “Private collection of the author, scanned in 2025” goes a long way toward future-proofing your family archive.

Next Week’s Topic

“Musical”

AI Disclosure

This post was created by me with the help of AI tools. While AI helps organize research, the storytelling and discoveries are my own.

52 AI Ancestors in 52 Weeks: Week 49: Written

I’ve combined Amy Johnson Crow’s 52 ancestors in 52 weeks challenge, and Steve Little’s The 2025 AI Genealogy Do-Over, to create a unique 52 AI ancestors in 52 weeks party!

52 AI Ancestors in 52 Weeks: Week 49: Written

Introduction

So many interesting tales about writing!

My oldest written family letter is the one written by my great-great grandmother Patience SPIEGEL WEST and documented here.

My grandfather A. Gordon WEST, Patience’s grandson, worked 40 years at a newspaper, and after retirement, wrote the occasional letter to the editor, according to an online newspaper site.

Discussion

But my dad Robert E. ANDERSON was the prolific writer in my family. As a child, I remember him, newly divorced, pouring his angst into writing poetry. I wrote about an audio recording of him reading a poem which moved me.

He became active in the local chapter of the group Parents Without Partners and edited their newsletter for many years.

He wrote new lyrics to existing tunes and had my sister and me sing them.

When I searched my dad’s name and location at an online newspapers site, I found dozens of letters to the editor indexed there, ranging from 2003 to 2008 (the year before he died). So after retirement, I see that he got politically vocal, and maybe if he hadn’t died unexpectedly, he would have become politically – and oratorically – active as well.

Our writing doesn’t stand still; it grows alongside us, shaped by heartbreak, hope, purpose, and even politics. My dad’s words shifted from raw, poetic reflections during a difficult chapter to witty song lyrics and, later, passionate letters to the editor. What we choose to write, and how we write it, often mirrors the seasons of our lives. Whether it’s personal, creative, or civic-minded, each stage leaves its own kind of ink on the page.

How AI Can Help

If you’ve got a family writer (or are the family writer), AI can be a thoughtful writing partner. Tools like ChatGPT can help:

  • Transcribe recordings: Remember that audio clip of my dad reading poetry? AI can turn it into text in seconds, making it easier to save, search, or share.
  • Clean up OCR text: Found a letter or newspaper clipping with poor formatting? AI can help you fix those errors without pulling your hair out. (Check the cleanup. Always double-check the results.)
  • Organize writing samples: Whether it’s letters, poems, or newsletters, AI can help categorize and summarize them so you can spot patterns or track how someone’s writing evolved over time.
  • Generate prompts: Stuck staring at a blank screen? AI can toss out memory-jogging questions or writing starters, perfect for family historians or reluctant memoirists. I, one of the least creative people I know, often use LLM models to give me ideas.

Even if your relatives weren’t published authors, AI makes it easier to find and preserve the words they left behind—and maybe rediscover the writer in yourself.

Challenge for Readers

Find a writing, any sort of writing, that a family member has created. Grab a takeaway from it and share with the family.

If desired, use AI to assist. AI can summarize, share, suggest… there are many points in the process at which AI can be a helpful partner.

Want to Learn More?

If you’re interested in exploring how AI can support your family history writing, check out these resources:

Next Week’s Topic: “Family Heirloom”

AI Disclosure

This post was created by me with the help of AI tools. While AI helps organize research, the storytelling and discoveries are my own.

52 AI Ancestors in 52 Weeks: Week 48: Family recipe

I’ve combined Amy Johnson Crow’s 52 ancestors in 52 weeks challenge, and Steve Little’s The 2025 AI Genealogy Do-Over, to create a unique 52 AI ancestors in 52 weeks party!

52 AI Ancestors in 52 Weeks: Week 48: Family recipe

Introduction

When my parents split up, I lived with my maternal grandparents for a year and a half. I have many fond memories of Grandma cooking and can happily tell you stories of shrimp cocktail, salmon patties, veal cutlets, and more. (Do you? When I visited an Amish restaurant while consulting one day, it felt almost like I was back at Grandma’s. She wasn’t Amish, but the homestyle cooking evoked good bits of my childhood.) But my very favorite of Grandma’s recipes was the only salad I really enjoy.

A community recipe book

Discussion

Grandma (Edith Lillian MAKEY WEST 1913-1997) was a New York City girl for about 60 years. She married an Ohio boy who had come to the city looking for opportunity, and his family embraced her. They spent part of their honeymoon at Niagara Falls (very popular back then), and part in Grandpa’s hometown. They are buried together in that hometown now.

Grandpa’s family clearly shared a recipe with Grandma when they were there. Grandma was well-known for her “5-cup Ohio salad,” which when I was a girl was just an amazing treat.

5-cup Ohio salad

Ingredients

1 cup drained mandarin oranges

1 cup drained pineapple cubes

1 cup mini marshmallows (Grandma noted that the multicolored ones were nice)

1 cup shredded coconut

1 cup sour cream

Directions

Mix and chill.

What we loved most was how simple it was.

When I was an adult, I learned it was a popular recipe everywhere and Ohio had no particular claim on it. But it makes it no less special to me.

How AI can help

If you are lucky enough to be the recipient of some passed down recipes, you may find ingredients a challenge! My beloved Aunt Cheryl (daughter in law of Grandma above) shared her unbelievable chocolate chip cookie recipe with me and it called for Oleo. Oleo?! Let’s pretend we know what that is, how do we even get it?

This can be solved with a Google search, but an AI ask gives much better details:

And presto! Aunt Cheryl has some competition! 😊

Challenge for Readers

Find a recipe that has been handed down – it can be in your family, or a neighbor (my neighbor Pat gave me an Irish soda bread recipe that her mother cut from a newspaper, and I make it every St. Patrick’s Day – it’s the favorite of everyone who tries it), or from a church or school recipe book (remember them? Often the recipes were accompanied by memories or other personal touches, so do not neglect the treasure).

Let the memories evoke another time.

If there are challenging ingredients, or temperatures, or tasks, ask AI about them!

Curious cooks and curious cousins both welcome.

Next Week’s Topic: “Written”

AI Disclosure

This post was created by me with the help of AI tools. While AI helps organize research, the storytelling and discoveries are my own.

52 AI Ancestors in 52 Weeks: Week 47: The Name’s the Same

I’ve combined Amy Johnson Crow’s 52 ancestors in 52 weeks challenge, and Steve Little’s The 2025 AI Genealogy Do-Over, to create a unique 52 AI ancestors in 52 weeks party!

52 AI Ancestors in 52 Weeks: Week 47: The Name’s the Same

Introduction

I descend from not one, not two, but five different Nathaniel Brittons – all in a straight line except for one Abraham who clearly didn’t get the memo. On another branch, the Blakes seemed convinced that only two names were worthy of boys: Edward and William. Meanwhile, my Pennsylvania Dutch ancestors preferred naming every male Johan Spiegel. They got creative (sort of) with the middle names.

This week’s theme, “The Name’s the Same,” is a familiar headache for anyone who’s spent time among 18th-century church records or 19th-century census enumerations. Repeating names can turn a straightforward family tree into a knot of mistaken identities.

So how do you avoid merging two different people into one? Or worse, splitting one ancestor into two?

Let’s look at how AI (and a little methodology) can help you keep your people straight.

A mini-pedigree showing five Nathaniel Brittons with one Abraham in the midst

The Foundation: Using the Genealogical Proof Standard

Before we get to the AI shortcuts, let’s talk about the solid, time-tested process that genealogists have used for decades to separate same-name ancestors. The Genealogical Proof Standard (GPS) gives us an approach for making sound conclusions about who’s who.

1. Conduct Reasonably Exhaustive Research

Don’t stop at the first William Blake you find in the 1850 census. Search multiple record types: vital records, census enumerations, land records, probate documents, church records, tax lists, and military records. Look for records in all locations where each person might have lived. Cast a wide net.

The goal isn’t to find every possible record—that’s impossible. But you need enough evidence from enough different sources to see clear patterns emerge.

2. Build an Evidence Analysis Table

This is the old-fashioned version of what we’re going to ask AI to do later. Create a table (or spreadsheet) with these columns:

  • Record Date
  • Record Type (census, deed, probate, etc.)
  • Location (county, town, state)
  • Age / Calculated Birth Year
  • Spouse Name
  • Children in Household
  • Occupation
  • Associates / Witnesses
  • Property Description (adjoining landowners)

Each row represents a different record mentioning the name. As you fill it in, look for patterns. Do some records cluster together with consistent spouse names, children’s names, locations, and occupations? Do others diverge with different family members or different geographic patterns? This visual organization helps you see which records belong to which person.

3. Apply the FAN Principle

FAN stands for Family, Associates, and Neighbors. These connections often provide the key to disambiguation:

  • Family: Who are their parents, siblings, children, and other relatives? If two Williams both have fathers named Edward and brothers named Thomas, you might be looking at the same person.
  • Associates: Who witnessed their legal documents? Who served as executors of their estates? Who were the godparents of their children? These repeated names across different record types can help you track the right person.
  • Neighbors: Who lived next door in census records? Who owned adjoining land in property descriptions? If William Blake consistently appears near the same families across multiple census years, and those same families show up as his neighbors in land records, you’re building a strong case for identity.

4. Look for Unique Identifiers

Some clues are particularly valuable for separating same-name ancestors:

  • Middle names or initials: Even just a middle initial can distinguish William A. Blake from William T. Blake.
  • Occupation consistency: If your William is listed as a carpenter in 1850, a carpenter in 1860, and a carpenter in 1870, that’s a strong pattern. Another William who’s a farmer is probably a different person.
  • Land descriptions: Property records often identify adjoining landowners. If William Blake’s land is described as bordering Thomas Smith’s property in multiple transactions, and you see Thomas Smith witnessing William’s will, you’re building a reliable network.
  • Migration patterns: Track geographic movement over time. Did your William move from Vermont to Ohio around 1830? That migration path, combined with other evidence, helps separate him from the William who stayed in Vermont his entire life.
  • Military service: Pension records, muster rolls, and military service records often include unique details like unit numbers, service dates, and physical descriptions that can definitively separate two men with the same name.

5. Resolve Conflicting Evidence

Not every piece of evidence will fit perfectly. Ages are often inconsistent across records. Locations might vary slightly. The question is: given all the evidence you’ve collected, which interpretation makes the most sense?

For example, if a William Blake appears in Vermont in 1850 aged 48, and again in 1860 aged 62, you have a 12-year gap versus a 10-year gap between censuses. But if both records show the same wife name, the same children with appropriate age progression, and the same occupation, the weight of evidence suggests it’s the same person and the enumerator probably estimated his age in one or both censuses.

Document your reasoning. When you conclude that two records refer to the same person (or different people), write out why. This forces you to think critically about the evidence and creates a record you can revisit if new information emerges.

Why This Matters

The Genealogical Proof Standard isn’t just academic busywork. It’s the foundation that keeps us from making costly mistakes—like merging two different people into one ancestor or splitting a single person’s life into multiple individuals. It ensures our family trees are built on solid evidence rather than hopeful assumptions.

Now, here’s where it gets interesting: this methodical approach takes time. Hours of it. AI tools can help speed up some of these steps while still maintaining the GPS. Let’s see how.

How AI Can Help Untangle Same-Name Ancestors

When the names repeat, the questions matter more than the names. Here are some ways free AI tools can help you sort out who’s who:

1. Compare and Contrast Timelines

Use ChatGPT or another AI tool to build side-by-side timelines for two individuals with the same name.

Try this prompt:

“Create separate timelines for two men named William Blake. One was born in 1795 and lived in Ohio; the other in 1802 and stayed in Vermont. Use these facts…”

AI can help flag inconsistencies, overlaps, and gaps that might suggest you’re dealing with different people, or maybe one person living a much busier life than expected.

2. Summarize Long Records for Clues

Have a land deed or probate document with a name but no clear identity? Paste it into a tool like ChatGPT and ask:

“Can you list the locations, relationships, and key details in this document?”

This quick summary can help distinguish one Edward from another, especially if they had different professions or owned land in different counties.

3. Middle Name Pattern Recognition

In those Johan-heavy lines, middle names were often more than decorative: they were identifiers. Feed a list of male Spiegel names into an AI and ask:

“Which middle names were repeated across generations?”

This might reveal naming patterns tied to specific branches or generations.

Sample disambiguation table

Here’s a sample comparison table showing two fictitious men named Nathaniel Britton. It demonstrates how details (identifiers) like birthplace, spouse, military service, and burial location can help clearly separate individuals with the same name.

IdentifierNathaniel Britton ANathaniel Britton B
Full NameNathaniel BrittonNathaniel Britton
Year of Birth17651768
Place of BirthStaten Island, New YorkMonmouth County, New Jersey
Spouse’s NameSarah MooreMary Johnson
Children’s NamesJohn, Elizabeth, AbrahamSamuel, Anna, Nathaniel Jr.
OccupationBlacksmithFarmer
Military Service DetailsServed in local militia, 1781Revolutionary War service, 1780-1783, NJ Line
Census Residence(s)Richmond County, NY (1790 – 1820)Monmouth County, NJ (1790 – 1810), moved to Ohio by 1820
Land/Property DescriptionsOwned land near Richmond ChurchPurchased land west of Zanesville, OH
Middle Name or InitialNo middle name used in recordsMiddle initial ‘T’ in 1805 deed
Religious AffiliationDutch Reformed ChurchBaptist
Associates/Witnesses in Legal RecordsWitnessed by Peter Moore, neighborWitnessed by Joseph Johnson, brother-in-law
Migration PathRemained in New York entire lifeFrom NJ to Ohio after 1810
Neighbors in CensusNext to Moore family on 1810 censusNeighbor to Thomas White in 1820 census
Burial LocationBuried in St. Andrew’s Churchyard, Staten IslandBuried in family plot near Zanesville, Ohio

Challenge for Readers: Try It Yourself

Here are two exercises to sharpen your same-name detection skills:

Challenge 1: Disambiguate Your Double
Pick a same-name pair from your tree and feed their facts into an AI tool like ChatGPT. Ask it to highlight the differences and possible overlaps. What stands out?

Challenge 2: Build a “Name Collision” Table
Create a table with columns for Name, Birth Year, Spouse, Location, Occupation, and Key Records. Use it to separate, or connect, those tangled ancestors.

Bonus: Use a spreadsheet or AI-generated table to visualize where paths cross or diverge.

Want to Learn More?

If you’re interested in how AI tools can help with family history research, check out:

Next Week’s Topic: “Family Recipe”

Get your flour-dusted memories and ancestral stewpots ready!

AI Disclosure

This post was created by me with the help of AI tools. While AI helps organize research, the storytelling and discoveries are my own.

52 AI Ancestors in 52 Weeks: Week 46: Wartime

I’ve combined Amy Johnson Crow’s 52 ancestors in 52 weeks challenge, and Steve Little’s The 2025 AI Genealogy Do-Over, to create a unique 52 AI ancestors in 52 weeks party!

52 AI Ancestors in 52 Weeks: Week 46: Wartime

Introduction

My grandfather, Edward Joseph Anderson (1912-1985), was a small child when World War I broke out. My father told me that Grandpa always felt he had an education gap about the war, due to the timing. He was too young when the events were current to really know what was happening, but the war had not yet been added to the curriculum at school.

Grandpa, according to Dad, sought out books about the war to help him to understand more about it. I’m sure he knew many, many people affected by it.

Maybe that curiosity never left him. He lived through the sound of distant news and ration talk he couldn’t quite grasp, and spent the rest of his life filling in what those childhood memories left unsaid.

That curiosity must run in the family. As a genealogist, I find myself chasing the same questions Grandpa did: trying to understand how war shaped the lives of people who lived in its shadow. His books led him to the battlefields of Europe; my search led me to the stories of our own family during wartime.

Discussion

Grandpa wasn’t the only one shaped by war, even from a distance. Once I started exploring our family’s wartime stories, I realized that every generation had its own version of it.

There were those who registered but never served, those who built ships and newspapers and families while the world was breaking apart, and those who were too young to know why the adults whispered at night. Each carried a piece of the story, whether they realized it or not.

It turns out, wartime isn’t just about those who fight – it’s also about those who remember, imagine, and try to make sense of what they lived through. Discovering those stories isn’t always straightforward. Records can be scarce or scattered, but even fragments can lead somewhere.

How AI can help

These stories aren’t always easy to find. Military records can be confusing, incomplete, or hidden behind unfamiliar names – but that’s where a bit of modern help can make all the difference.

Some ideas:

  • Many draft registration lists are now online.
  • Newspapers frequently printed the list of draftees (and newspapers are going online)
  • Censuses often show us those who served (extra shoutout to the 1865 New York State census!)
  • Censuses also show us occupations, which may be war-related ones
  • Family ephemera may include this type of memento, such as when my grandmother showed me my baby father’s ration books

Ask AI for more ideas – or where to find them. Better yet, tell it what you know. (“My ancestor John Q. Doe, born 1842, lived in Argentine, Kansas during the Civil War. Where might I find records around any military service he may have done?”)

But don’t limit yourself to military service – remember not all those who served carried a gun. Maybe they carried water or provided food.

Or maybe they got shot in the draft riots?

An obituary for Stephen Barker, mentioning that he was shot "in the riots of 1862[sic]"

Challenge for Readers

Option 1: Trace a Wartime Shadow

Pick one ancestor who lived during a major war – even if they never served.

  • What might they have seen, heard, or felt?
  • Search a newspaper from their hometown during that era and read the local headlines.
  • Bonus: Ask ChatGPT or another AI tool to describe what life was like on their street in that year.

You may not find a uniform, but you’ll find the echoes.


Option 2: Find Service Between the Lines

Review your family tree and see whose records fall between 1861–65, 1914–18, or 1941–45.

  • Who was the right age to serve but didn’t?
  • Can you find a draft registration, ration book, or even a letter?
  • Use AI to suggest possible record sets or archives for your search; try phrasing it as:

“Where might I find Civil War service records for a 23-year-old farmer in Ohio?”

Sometimes the “almost served” stories are just as revealing.


Option 3: The Home Front Project

Choose one ancestor who supported the war effort in a civilian way; through work, care, or quiet resilience.

  • What was their occupation during wartime?
  • Search for how that industry contributed to the war effort.
  • Then ask AI to summarize what that role might have looked like day to day.

Think of it as writing a tribute to the people who kept the lights on while the world went dark.


Optional Add-On: Reflective Prompt

If your ancestors could tell you how war changed them, what might they say?
Try writing a short paragraph, diary entry, or AI-assisted dialogue in their voice.

Want to Learn More?

National Archives – Military Service Records
https://www.archives.gov/veterans/military-service-records
Request copies of World War I and II draft cards, enlistment papers, or service records. You can also explore state-level archives for older conflicts.

FamilySearch – Military Collections
https://www.familysearch.org/search/collection/location/1927084
Free access to global military collections, including U.S. draft registrations, Civil War pensions, and state militia rolls.

Fold3 (Ancestry)
https://www.fold3.com
Digitized military records, photos, and unit histories. Look for regimental pages to understand where and when your ancestor might have served.

Newspapers.com or Chronicling America
https://chroniclingamerica.loc.gov
Historic newspapers often printed lists of draftees, letters from soldiers, or wartime updates from hometowns.

WWI Draft Registration Database – National Archives Catalog
https://catalog.archives.gov/id/641776
Search for men born between 1873 and 1900 who registered for the Great War, even if they were never called up.

AI Prompts for Wartime Research
Ask ChatGPT or a similar tool:

  • “What military units were based near [ancestor’s hometown] in [year]?”
  • “List possible civilian roles in [industry or location] during WWII.”
  • “Summarize how [occupation] supported the war effort.”

For Context and Reflection

Summary

My grandfather filled his understanding of war with books. I’ve tried to fill mine with stories—his, and those of the family who came before him. In both cases, the search is what keeps memory alive.

Next Week’s Topic: “The Name’s the Same”

AI Disclosure

This post was created by me with the help of AI tools. While AI helps organize research, the storytelling and discoveries are my own.

52 AI Ancestors in 52 Weeks: Week 45: Multiple

I’ve combined Amy Johnson Crow’s 52 ancestors in 52 weeks challenge, and Steve Little’s The 2025 AI Genealogy Do-Over, to create a unique 52 AI ancestors in 52 weeks party!

52 AI Ancestors in 52 Weeks: Week 45: Multiple

Introduction

My ancestor Charlotte DuShannon West had multiple birthdays.

Discussion

The family stories on my WEST line generally proved out, time and again. So, I can enter into this with high confidence.

The family said that Charlotte DuShannon was orphaned “around age 3,” and they (officials? the orphanage? Oh the questions I should have asked!) didn’t know her birthday, so they chose Christmas.

Lottie’s tombstone has an 1867 birth, and her death certificate has a death on April 10, 1922 at age 54/3/15, calculating to December 26, 1867. So the family had, indeed, pinned her birth at Christmas 1867.

A studio portrait of a woman with upswept hair and glasses, and a high collar

Figure 1 Charlotte DuShannon West, 1866-1922

But when was she actually born? I wasn’t sure I’d ever find her real birth date—but then I stumbled onto a tool that opened a whole new world: the Family History Center (now FamilySearch center) and its microfilm ordering.

Lo and behold: Bridgeport, Connecticut had her birth recorded:

A births ledger showing Charlotte Duchenan born May 14 1866 to John and Margaret Duchennan

Very clearly on May 14, 1866.

To the same parents I found her with (age 3) in the 1870 census.

Great-grandma Lottie now has her true birthday.

How AI can help

AI can’t rewrite the past—but it can help us recognize patterns, surface forgotten records, and challenge long-held assumptions.

In Lottie’s case, AI tools can:

  • Surface hidden records: Language models can help generate search strategies to uncover early-life records, especially in unfamiliar places or when names vary slightly. For instance, suggesting that a “Charlotte Dushannon” born in Connecticut in 1866 might appear under “Shannon,” “Duchennan,” or “Chanon.”
  • Check the math: AI and genealogy apps can cross-check reported death ages and calculate likely birth years automatically—especially when the age-at-death is written as years/months/days.
  • Fill narrative gaps: Story generators like ChatGPT can simulate possible journal entries or “what it was like” vignettes of life in an orphanage in the 1870s, giving context to records that lack detail.
  • Create timelines: Use AI-assisted timelines to reconcile census entries, birth records, and tombstones, highlighting discrepancies like Lottie’s multiple birthdays.

Lottie’s birth wasn’t celebrated on her actual birthday during her lifetime, but with the help of research and modern tools, we can give her story a more complete arc.

Summary

There’s something quietly heartbreaking about not knowing your own birthday. No candles. No certainty. No story behind the date, just a placeholder.

For Lottie, the family chose Christmas. A beautiful guess, full of warmth and meaning. But it wasn’t hers.

Thanks to one lonely line in a birth register, we now know the truth: she was born on a spring day in May.

And somehow, after all this time, that feels worth celebrating.

Challenge for Readers

Option 1: The Birthday Audit

Check your family tree for ancestors with:

  • Conflicting birthdates across records (e.g., tombstones vs. census vs. certificates)
  • “Estimated” birth years based on age at death

👉 Use a date calculator tool or AI to double-check the math. Post about your findings – did anyone else get a holiday birthday as a placeholder?


Option 2: Find the Forgotten Birthday

Pick one ancestor with no known birthdate and challenge yourself to:

  • Search at least 3 record types that might include it (census, church, delayed birth certs, military draft cards, etc.)
  • Use AI to generate alternative search spellings or suggest overlooked sources

Bonus: Let ChatGPT write a hypothetical birthday scene based on what you do know about their childhood.


Option 3: The Mystery Birthday Prompt

Ask ChatGPT:

“Write a fictional diary entry from a woman in 1922 who has just discovered that the birthday she’s celebrated her whole life is wrong.”

Post or reflect on what that might have felt like—for her, or for one of your ancestors.

Want to Go Deeper?

FamilySearch Record Hints
https://www.familysearch.org

  • Use AI-driven record suggestions to find alternate birth, census, and death records.

Date Calculators for Genealogy
Legacy Date Calculator

  • Check calculated birthdates from death ages (like 54 years, 3 months, 15 days).

ChatGPT Genealogy Prompts
Try asking:

“What name variants might I search for Charlotte DuShannon in 1860s Connecticut?”
“Simulate a diary entry for a 3-year-old girl entering an orphanage in 1870 Connecticut.”

Historic Context
Orphanages in 19th Century America – JSTOR Daily

  • For background if you want to explore what Lottie’s early years might have been like.

Next Week’s Topic: “Wartime”

AI Disclosure

This post was created by me with the help of AI tools. While AI helps organize research, the storytelling and discoveries are my own.

52 AI Ancestors in 52 Weeks: Week 44: Rural

I’ve combined Amy Johnson Crow’s 52 ancestors in 52 weeks challenge, and Steve Little’s The 2025 AI Genealogy Do-Over, to create a unique 52 AI ancestors in 52 weeks party!

52 AI Ancestors in 52 Weeks: Week 44: Rural

The Organist from Liberty Center: A Rural Life Worth Recreating (With a Little Help From AI)

Some ancestors are loud. They leave behind war records, dramatic migrations, or juicy newspaper clippings. Others, like A. Gordon West, a linotype operator from tiny Liberty Center, Ohio, make their mark in quieter ways. But quiet doesn’t mean unimportant.

Gordon’s life, filled with music, roses, typefaces, and the occasional practical joke, offers a beautiful glimpse into rural America during the rise of the 20th century. And with today’s tools, we don’t need a time machine to visit his world. Artificial Intelligence (AI) can help us recreate and explore rural lives like Gordon’s in ways his generation couldn’t have imagined.

Let’s see what we can learn from a small-town organist who pressed letters into lead by day and grew tomatoes by twilight.

Quaint small town, image created by ChatGPT

Meet Gordon: Organist, Typesetter, Tomato Whisperer

Gordon West was born in 1907 in Liberty Center, Ohio, the youngest child of Adam and Charlotte (DuShannon) West. His mother was 40 when she had him, and he was very much the “surprise baby.”

As a young man, Gordon played the organ for silent movies; a job that required timing, musical improvisation, and the ability to work in total darkness except for the flicker of the screen. He shifted gears after “talkies” replaced silent films and the Great Depression hit full-on, becoming a linotype operator at the Staten Island Advance newspaper.

Imagine the jolt of going from a Liberty Center of 748 people to a city of nearly 7 million people, and living there for 40 years.

After retirement, he moved to upstate New York, growing roses and tomatoes, playing the organ for his granddaughters, and slipping jokes into everyday moments. His life was rural, yes; but rich, rhythmic, and full of character.


Recreating Rural Lives with AI

Let’s say you want to bring Gordon’s world to life for a blog post, family gathering, or research journal. AI offers tools to fill in the sensory gaps and imagine the life behind the records. Here are a few ideas:

🧠 1. Rebuild a Scene with AI Art

Using image generators (like DALL·E, Bing Image Creator, Leonardo.ai (I recently used ChatGPT to create a prompt for Leonardo – big success), or Midjourney), you could describe Gordon’s world and get a visual to share:

Prompt: “A small-town movie theater in 1927 with a man playing a pipe organ, children watching silently, flickering film projection, Liberty Center, Ohio.”

You can generate what his work looked like, or the family garden in bloom – right down to those roses and tomatoes.

🗞️ 2. Simulate a Newspaper Page

Use AI text tools (like ChatGPT or Sudowrite) to help you generate a mock Staten Island Advance page from the 1950s, maybe even one that mentions Gordon’s role in the print room. Combine this with templates from historical newspapers to bring it to life.

🎹 3. Create a Soundtrack to His Life

Tools like Soundraw or Mubert let you generate music in different genres and moods. Try crafting a short organ interlude or instrumental that fits a 1920s silent film. Pair it with a photo of Gordon and his organ, and suddenly your ancestor becomes an experience.


Your Challenge: Make Rural Real

If you’re ready to play time traveler, try one (or both) of these challenges using free or freemium tools:

🧪 Challenge 1: Build Gordon’s Garden

Use DALL·E or Bing Image Creator to generate a visual of a Liberty Center backyard with roses, tomatoes, and a retired organist in suspenders. Add this to your genealogy blog or family tree. Let your readers see what he might have seen.

🧪 Challenge 2: Write a Fictional Entry in His Voice

Ask ChatGPT (or another text-based AI) to help you write a short journal entry from Gordon’s point of view:

Prompt: “Write a 100-word diary entry from a retired linotype operator named Gordon West in rural Ohio, talking about growing tomatoes and playing the organ for his grandkids.”

This builds connection. It doesn’t have to be perfect; it just has to be personal.


What We Learn from Lives Like Gordon’s

Genealogy often celebrates the pioneers, the politicians, the rebels. But the rural linotype operator? The silent movie organist? They matter just as much.

Gordon West’s life was ordinary in the best possible way: full of music, work, and love for his family. AI gives us new ways to honor these lives – by imagining their world and sharing it with future generations.

Whether you’re using AI to restore a photo, simulate a voice, or generate a visual of your ancestor’s life, remember this: even the smallest towns hold big stories.


Further Resources

Next Week’s Topic: “Multiple”

AI Disclosure

This post was created by me with the help of AI tools. While AI helps organize research, the storytelling and discoveries are my own.