Ancestors and Algorithms: AI for Genealogy

Brian
  • 4.8 (32)
  • Society & Culture

Stuck on a family history brick wall? It's time to add the most powerful tool to your genealogy toolkit: Artificial Intelligence. Welcome to Ancestors and Algorithms, the definitive guide to revolutionizing your family tree research with AI. Forget the hype and confusion. This isn't just another podcast about AI; this is your hands-on, step-by-step masterclass using AI. Each week, host and researcher Brian demystifies the technology and shows you exactly how to apply AI tools to find ancestors, analyze records, and solve your toughest genealogy puzzles. We explore the incredible promise of AI while navigating its perils with an honest, practical approach. Learn to use AI as your personal research assistant—not a replacement for your own critical thinking. Join us to learn how to: Break through brick walls using AI-driven analysis and data correlation.Transcribe old, hard-to-read documents, letters, and census records in minutes.Use ChatGPT, Gemini, and other Generative AI to draft biographies, summarize findings, and organize your research.Analyze DNA matches and historical records to uncover hidden family connections.Master prompts that get you accurate results and avoid AI "hallucinations."Discover the latest AI tech and digital tools for genealogists before anyone else.Whether you're a beginner genealogist or a seasoned family historian, if you're ready to upgrade your research skills, this podcast is for you. Hit Follow now and turn AI into your ultimate secret weapon for uncovering your ancestry.

  1. 1d ago

    Ep. 62: The FAN Club Hiding in Your Old AI Chats

    When an ancestor vanishes after the 1860 census, his neighbors can show you where the family went. In this episode, 3 old AI chats, 1 FAN club and a probate file solve a "disappearance" that never happened. Charles Spafford farmed in Columbia County, Wisconsin in 1860, and then seemed to disappear. My old chats in Claude and ChatGPT held competing theories, from the California gold fields to a Kansas man with a new wife. This composite teaching case shows how to pull those scattered chats into one AI Project, harvest them into a single research log, and then trace the family through its friends, associates and neighbors (the FAN club method). This episode is for you if: - Your genealogy research is scattered across dozens of old AI chats - You want to learn Claude Projects, ChatGPT Projects or Gemini notebooks for family history - You have an ancestor who disappears between the 1860 and 1870 census - You want to use FAN club research, deed indexes and probate records to break a brick wall - Your ancestor's surname may have been misread by an indexer FAQ What is the FAN club method in genealogy? FAN stands for friends, associates and neighbors. When records about your ancestor run out, you research the people around them, such as deed witnesses and census neighbors, because families often moved with the same group. Can AI remember my genealogy research from one chat to the next? Not by default. In Claude, chats inside the same Project do not share context unless the information is added to the Project's knowledge files, so the episode shows how to harvest old chats into one research log file. Do Claude, ChatGPT and Gemini offer Projects on the free plan? As of October 2026, all three offer a version on the free plan. Claude and ChatGPT call it a Project, Gemini calls it a notebook, and Claude's free plan allows up to five Projects. Why can't I find my ancestor in the next census? The family may have moved, or an indexer may have misread the name. In this case the widow was indexed as "Stafford" instead of "Spafford" in the 1870 census, which hid her from every Spafford search. How do you find out if an ancestor died before death certificates existed? Check land and probate records. Wisconsin did not begin statewide death registration until 1907, and Columbia County's death records generally start in 1877, so a deed and a probate file proved this 1865 death. Which ranks higher in FAN research, a census neighbor or a deed witness? A person who appears in two records with your ancestor outranks a person in one. A deed witness who also lived next door is stronger evidence of a real connection than a name on the same census page. The honest outcome: AI found no new record. It organized what I already had, and the answer was a lead I had ignored in three separate chats. The new Gemini Notebook shortcut hung and delivered my log two days late, the Kansas Charles was the wrong man, and Harriet's parents and her daughter Emma after 1870 are still open questions. Records and places covered: Columbia County WI, Freeborn County MN, 1860 and 1870 US census, grantor and grantee deed indexes, county probate files, administratrix deeds. For Australian and UK listeners: the same neighbor method works with Trove, Public Record Office Victoria, County Record Offices and FreeCEN. Want the deeper workflow? The Companion Guide has the full case-file setup for Claude, ChatGPT and Gemini, an advanced harvest prompt for long chats, a deed and probate checklist and a GPS Research Checklist. Find it at ancestorsandai.com. AI is your research assistant, not your researcher. Connect with Ancestors and Algorithms: 📧 Email: ancestorsandai@gmail.com 🌐 Website: https://ancestorsandai.com/ 📘 Facebook Group: Ancestors and Algorithms: AI for Genealogy - www.facebook.com/groups/ancestorsandalgorithms/ Golden Rule Reminder: AI is your research assistant, not your researcher. Join our Facebook group to share your AI genealogy breakthroughs, ask questions, and connect with fellow family historians who are embracing the future of genealogy research! New episodes every Tuesday. Subscribe so you never miss the latest AI tools and techniques for family history research.

  2. Oct 27

    Ep. 61: The Informant Test - Death Certificates and AI

    Who told the clerk your ancestor's parents? On this 1938 death certificate, the informant was born 24 years after the birth she reported. The parents' names on a death certificate come from an informant, often a child or grandchild who wasn't there. In Episode 61, Brian works a composite Missouri case built from real record types. Ida Belle Corwin died in Holden, Johnson County, in 1938. Her certificate names her mother as Martha Dowell. The informant was Ida's daughter, born in 1898. With Claude, ChatGPT and tested prompts, Brian profiles the informant, builds a test plan, counts witnesses instead of documents, and follows a Civil War pension file to the woman the family forgot. This episode is for you if you're searching for: How to check the parents named on a death certificate Who the informant is on a death certificate Stepmother listed as mother on a death certificate Civil War pension file genealogy and the 1898 pension questionnaire Using Claude and ChatGPT for genealogy and the Genealogical Proof Standard FREQUENTLY ASKED QUESTIONS Can a death certificate name the wrong mother? Yes. The parents' names usually came from an informant who wasn't present at the birth. A stepmother who raised a child can be reported as the child's mother. Who is the informant on a death certificate? The informant is the person who answered the questions about the person who died. The informant usually supplied the birth date, birthplace and parents' names. The physician supplied the cause of death. Is a death certificate direct evidence of a parent's name? Yes, because it answers the question outright. But "direct" describes how a record answers, not whether the answer is true. The parents' names are usually secondary information. How can AI help test a death certificate? Claude dates every fact on the certificate against the informant's own life and predicts the informant's most likely error. ChatGPT builds a test plan of earlier records made by other people. What is the 1898 Civil War pension questionnaire? In January 1898 the Bureau of Pensions sent Union pensioners a questionnaire asking for their wife's maiden name, any former wife and the date and place of her death or divorce, and the names and birth dates of their living children. It is found in the pension file, not in the index. Where can I find Missouri death certificates for free? The Missouri State Archives offers free images of 1910 to 1975 death certificates on Missouri Digital Heritage, as of October 2026. Do two records that agree prove a fact? Not always. If the same informant supplied both, they count as one witness. In this case the death certificate and the obituary came from the same family memory. THE HONEST OUTCOME This is an unexpected discovery, but not a clean one. The first two versions of Brian's Claude prompt missed the stepmother, and the third worked once, then failed on a rerun. ChatGPT's test plan never suggested the pension file that finally answered the question. And the birth mother's own parents, birthplace and grave are still unknown. Australian and UK listeners: the same test works on ScotlandsPeople death registers from 1855, which usually name both parents and the informant, and on NSW and Queensland BDM death certificates. The Episode 61 Companion Guide for Patreon members includes an informant profile for marriage and census records, a test plan template, a witness count worksheet and a GPS Research Checklist for parents named on death certificates. Learn more at ancestorsandai.com. The free episode stands on its own. Connect with Ancestors and Algorithms: 📧 Email: ancestorsandai@gmail.com 🌐 Website: https://ancestorsandai.com/ 📘 Facebook Group: Ancestors and Algorithms: AI for Genealogy - www.facebook.com/groups/ancestorsandalgorithms/ Golden Rule Reminder: AI is your research assistant, not your researcher. Join our Facebook group to share your AI genealogy breakthroughs, ask questions, and connect with fellow family historians who are embracing the future of genealogy research! New episodes every Tuesday. Subscribe so you never miss the latest AI tools and techniques for family history research.

  3. Oct 20

    Ep. 60: The Leeds Method and AI - Finding an Unknown Father

    How do you find an unknown father among more than 2,000 DNA matches? Sort 20 of them into four grandparent groups with the Leeds Method and AI. In this composite case, Lorraine was born in Brisbane, Queensland, in 1944. Her birth registration left her father's name blank, and her mother told her only one thing: he was a Yank. This episode walks through every step of her search, from match list to a short list of candidates. In this episode you'll learn: - How the Leeds Method sorts AncestryDNA matches between 90 and 400 cM by shared matches - Why to replace every match's name with a code before using AI - A five-rule Claude prompt that sorts matches into clusters and flags bridge matches - The shuffle test: rerun the AI sort with the rows reversed and keep only what holds - How Gemini Notebook names each cluster from your own tree notes, with citations - How Perplexity and DNA Painter's free Shared cM Project tool test a relationship - What Ancestry's Regions by Grandparent (announced October 9, 2026) can and can't tell you - What target testing is, and how to approach possible relatives gently The honest outcome: a partial answer. The DNA made one candidate very unlikely, and two brothers remain. Paper records may not settle it, because the 1973 records fire destroyed an estimated 80 percent of Army personnel files for soldiers discharged between 1912 and 1960. Target testing is the next step. FREQUENTLY ASKED QUESTIONS What is the Leeds Method? The Leeds Method, created by Dana Leeds in 2018, sorts DNA matches sharing 90 to 400 cM into groups using shared matches, so the groups can point to your four grandparent lines. Can AI sort DNA matches with the Leeds Method? Yes, if you give it a coded table of shared matches and written rules. In this episode, Claude sorted 20 coded matches into four groups, set aside one bridge match, and refused to place two matches it had no evidence for. What is a bridge match? A bridge match links into two of your groups at once. It can descend from the couple whose marriage joined those two families, so study it instead of merging the groups. What is the shuffle test for AI DNA sorting? Run the same sorting prompt again in a fresh chat with the rows in reverse order. Keep only the placements that land in the same group both times. Should I put my DNA matches' names into ChatGPT or Claude? This show's rule is no. Give each match a code like M01 and keep the key on paper. The AI only needs the links between matches, not the names of living people. Does 297 cM fit a half niece or a first cousin once removed? In the Shared cM Project 4.0, a first cousin once removed ranges from 102 to 980 cM, so 297 cM fits. A half niece ranges from 492 to 1,315 cM, so 297 cM falls below that range. For Australian and UK researchers: the National Archives of Australia's fact sheet on United States forces in Queensland, Trove for wartime newspapers, and the GRO birth indexes and FreeBMD for England and Wales. The Companion Guide includes the full shuffle-test workflow, an advanced prompt for working a bridge match, a gentle first-message template for target testing, and a GPS Research Checklist for unknown parentage. Find it at ancestorsandai.com. Connect with Ancestors and Algorithms: 📧 Email: ancestorsandai@gmail.com 🌐 Website: https://ancestorsandai.com/ 📘 Facebook Group: Ancestors and Algorithms: AI for Genealogy - www.facebook.com/groups/ancestorsandalgorithms/ Golden Rule Reminder: AI is your research assistant, not your researcher. Join our Facebook group to share your AI genealogy breakthroughs, ask questions, and connect with fellow family historians who are embracing the future of genealogy research! New episodes every Tuesday. Subscribe so you never miss the latest AI tools and techniques for family history research.

  4. Oct 13

    Ep. 59: Find Your German Ancestor's Village - Research Questions & AI

    Four records said Hanover, Prussia or Germany, and not one named his village. Here's how to find a German immigrant's village of origin with AI, step by step. When every record says "Germany," the problem is usually the research question, not the records. In this episode, we follow Friedrich Eckhoff, a Lutheran cooper who came from Bremen to Baltimore in 1869 (a composite case built on real record types). You'll learn the method that finally led to his village, one click at a time, with three free AI tools. This episode is for you if: • You're trying to find your German ancestor's village or hometown • Your immigrant's records say only Germany, Prussia or Hanover • You found several towns with the same name and don't know which is yours • You want to use ChatGPT, Perplexity and Gemini in Google AI Studio for genealogy without trusting them blindly FAQ What makes a good genealogy research question? A good research question names one person with identifiers such as age, place and occupation, asks for one fact, and points to a record that could contain that fact. Why does a census say Prussia instead of my ancestor's village? The 1870 U.S. census told enumerators to record the German state, such as Prussia or Bavaria, not a town. Prussia annexed the Kingdom of Hanover in 1866, so one man can appear as "Hanover" in 1870 and "Prussia" in 1880. Which records are most likely to name a German immigrant's village? The church registers of the immigrant's own congregation in America, especially marriage entries, are often the best chance. U.S. censuses, naturalizations before 1906 and 1860s arrival lists usually give only a state or country. Do the Bremen passenger lists survive? Mostly not. From 1875, Bremen kept only the three most recent years of lists, and it reversed that policy in 1907. Survivors are mainly from 1907 and 1908, 1913 and 1914, and 1920 through 1939. How do I tell which same-named German village is the right one? Search Meyers Gazetteer (meyersgaz.org), filter by region, check each place's parish church, then use witnesses and sponsors from family records. In this episode, a wedding witness's village narrowed eight Neuenkirchens in the province of Hanover to one. Can AI find my ancestor's German village for me? Not on its own. When asked directly, ChatGPT listed two to four Neuenkirchens and missed the right one both times. AI helped most by interviewing for a better question, sorting which records could answer it, and transcribing old German handwriting, with every claim checked against its source. The honest outcome: an 1846 baptism names Friedrich, son of Hinrich Eckhoff, in the one Neuenkirchen in his wedding witness's district. It's strong evidence but not airtight, because at least one other Neuenkirchen has no church book images online. Australian and UK listeners: the same approach works with the NSW assisted immigrant lists, which often record a native place, and the 1851 census, the first to record parish of birth, with free transcriptions on FreeCEN. AI is your research assistant, not your researcher. Want to go deeper? The Companion Guide at ancestorsandai.com includes the full Question Card workflow, a same-named village sorting prompt and a GPS Research Checklist for finding a place of origin. Connect with Ancestors and Algorithms: 📧 Email: ancestorsandai@gmail.com 🌐 Website: https://ancestorsandai.com/ 📘 Facebook Group: Ancestors and Algorithms: AI for Genealogy - www.facebook.com/groups/ancestorsandalgorithms/ Golden Rule Reminder: AI is your research assistant, not your researcher. Join our Facebook group to share your AI genealogy breakthroughs, ask questions, and connect with fellow family historians who are embracing the future of genealogy research! New episodes every Tuesday. Subscribe so you never miss the latest AI tools and techniques for family history research.

  5. Oct 6

    Ep. 58: Same Name, Two Men - Untangle a Merged Family Tree With AI

    Two men named Giovanni Farruggia registered for the World War I draft in Tampa on the same day in 1917. An online family tree fused them into one ancestor. Identity separation for genealogists: how to tell two same-name ancestors apart with ChatGPT, Claude and Gemini Notebook, using a Sicilian case from Ybor City, Tampa. This episode is for you if: You attached a record because the name matched and something feels off. Your ancestor seems to live in two houses in the same year. You suspect a FamilySearch or Ancestry tree merged two people. Your Italian, Sicilian or immigrant family reused the same names every generation. What you'll learn: The four-step identity separation method: plan the identifiers, gather every record of the name, count the people, then trace every tree fact to its owner. Why birthplace, occupation and arrival year are weak identifiers for cousins from one village. The collision test: two records that can't describe one man on one day prove two men. How a census citizenship column led to a naturalization petition that settled the case. Click-by-click setup: a ChatGPT temporary chat set to Unpersonalized, a Claude incognito chat, and Gemini Notebook (formerly NotebookLM) with one record per source. Questions this episode answers: How do I tell if two ancestors with the same name are the same person? Count before you claim. Look for collisions: two records made on the same day or in the same census that list different birth dates, addresses, wives or households. One collision proves two people. No collision proves nothing. Can AI help separate two people with the same name in a family tree? Yes, if you make it show its work. A blind Claude chat sorted ten records into two men and named its own weakest link. Gemini Notebook traced each tree fact to the man it came from, with clickable citations. Is a birthplace enough to identify an ancestor? No. Historians say Santo Stefano Quisquina supplied more than sixty percent of Tampa's Italians, so two cousins could share a village, a trade and an arrival year. How do I know if an online family tree merged two people? Trace every fact back to its source. Here the birth date and parents came from a grocer born in 1893. The wife and children came from a cigar maker born in 1895. What census column can point to naturalization records? Citizenship. The cigar maker was an alien in 1920 and naturalized by 1930, which led to his 1928 petition with his exact birth date, address, wife and children. The honest outcome: the tree's one Giovanni was two men. Rosalia's husband was identified. His father is probable and his mother is still unproved. Both AI tools made the same slip, reading "son of the head" as naming both parents. The family is a composite built from real Tampa record types. For Australian and UK listeners: the same method works with First World War service records at the National Archives of Australia, Trove, the 1939 Register for England and Wales, and FreeBMD. The Companion Guide adds advanced prompts for a side-by-side identity table and for untangling a tree merged more than once. Find it at ancestorsandai.com. Connect with Ancestors and Algorithms: 📧 Email: ancestorsandai@gmail.com 🌐 Website: https://ancestorsandai.com/ 📘 Facebook Group: Ancestors and Algorithms: AI for Genealogy - www.facebook.com/groups/ancestorsandalgorithms/ Golden Rule Reminder: AI is your research assistant, not your researcher. Join our Facebook group to share your AI genealogy breakthroughs, ask questions, and connect with fellow family historians who are embracing the future of genealogy research! New episodes every Tuesday. Subscribe so you never miss the latest AI tools and techniques for family history research.

  6. Sep 29

    Ep. 57: Find Her Maiden Name: Proving Parents with Indirect Evidence and AI

    No record names her parents, and you can still prove them. This episode shows how, step by step, with 5 ordinary records and 3 free AI tools. Every family tree has a woman like Nancy Brockway: a first name, a married surname, and nothing before that. Our case is a composite family built from real 1850s New York record types. Nancy lived in New Berlin, Chenango County, and was born about 1816 in Otsego County. There's no marriage record and no will. There is a Hannah Pettibone, 67, in her 1850 household, and an 1847 deed that puts Nancy's name on a dead man's farm. WHAT YOU'LL LEARN - How to find a woman's maiden name with no marriage record - Why most New York marriages before 1847 left no government record - What the 1855 New York State census tells you that the 1850 census doesn't - How to search old deeds with FamilySearch Full-Text Search - How to transcribe a handwritten deed with Gemini in Google AI Studio - How to run a blind read in a Claude incognito chat, so AI can't confirm your bias - The knockout test: remove one record at a time to see what your case rests on FREQUENTLY ASKED QUESTIONS Can you prove a parent-child relationship when no record states it? Yes. Indirect evidence, several records that together leave one reasonable explanation, is fully acceptable under the Genealogical Proof Standard. Why can't I find a marriage record for my New York ancestor before 1847? According to the FamilySearch Research Wiki, no county, city, town or village government in New York recorded marriages before 1847. Statewide registration began in 1880 and 1881. How can a deed reveal a woman's maiden name? When a man died owning land and no one went to court, his heirs often settled it by deed. A married daughter may appear beside her husband with words like "in right of the said Nancy," meaning the share was hers, not his. What is a blind read with AI? You give a chatbot your records but not your theory, in a fresh incognito or temporary chat, and ask for every explanation the records allow. In this episode, Claude raised one I hadn't considered: stepmother. What is the knockout test in genealogy? Remove one record at a time and ask whether your conclusion still stands. Split your conclusion into single claims first. Claude overreached when it tested a two-part claim. Can I trust ChatGPT to tell me which genealogy records exist? Use it to brainstorm, then check every record type in the FamilySearch Research Wiki. In this episode, ChatGPT pointed to early county marriage records that don't exist for 1830s New York. THE HONEST RESULT A partial answer. The evidence best supports Nancy as a daughter of Stephen Pettibone. Whether Hannah was her mother or her stepmother is still open, and I name the record that could settle it. Australian and UK listeners: the same approach works with the NSW Historical Land Records Viewer and the National Library of Wales's wills proved before 1858. Patreon members: this episode's Companion Guide includes the full blind read and knockout workflow, plus advanced prompts for turning your results into a written proof summary. Find it, and every prompt from this episode, at ancestorsandai.com. Connect with Ancestors and Algorithms: 📧 Email: ancestorsandai@gmail.com 🌐 Website: https://ancestorsandai.com/ 📘 Facebook Group: Ancestors and Algorithms: AI for Genealogy - www.facebook.com/groups/ancestorsandalgorithms/ Golden Rule Reminder: AI is your research assistant, not your researcher. Join our Facebook group to share your AI genealogy breakthroughs, ask questions, and connect with fellow family historians who are embracing the future of genealogy research! New episodes every Tuesday. Subscribe so you never miss the latest AI tools and techniques for family history research.

  7. Sep 22

    Ep. 56: Negative Evidence: Dating a Death in Czech Texas

    Texas did not register deaths statewide until 1903, so if your ancestor died there in the 1890s, no death certificate was ever created. This week, a county tax roll dated one anyway. Cyril Sebesta came to Fayette County, Texas from Moravia in 1873 and bought eighty acres in 1881. His headstone carries a birth year and nothing else. Three generations left a question mark in the death column. The record that finally narrowed it never mentions his death or his burial. This is a Partial Answer episode. The window closed from ten years to about twelve months, and it stops short of calling that proof. Negative evidence is suggestive, never conclusive. WHAT YOU WILL LEARN How to date a death when no death record was ever created Why searching a FamilySearch collection by name is not the same as searching the records The three gates that turn an absence into evidence Why a four-state research grid beats a three-state one How to stop AI from turning "I did not find it" into "it is not there" Free-tier workflows in Perplexity with Comet, Gemini Notebook, and Claude FREQUENTLY ASKED QUESTIONS How do I find a death date when there is no death certificate? Find a record created every year regardless of events, such as a county tax roll, a city directory, or an electoral roll, then look for the year your ancestor stops appearing in it. An annual series can narrow a death to a single year, where a ten-year census only narrows it to ten. When did Texas start registering deaths? Statewide registration of births and deaths in Texas began in 1903, and compliance was not universal at first, with rural counties lagging the cities. There is no state death certificate to order for a Texas death in the 1890s. What is negative evidence in genealogy? Negative evidence is a conclusion drawn from the absence of information where it should have appeared. It is not the same as a negative search result, which only means you looked and found nothing. Elizabeth Shown Mills calls it contextually suggestive silence. Is searching a FamilySearch collection the same as searching the records? Often not. The collection "Texas, County Tax Rolls, 1837-1910" carries a selective index covering 231 of 254 counties and only about nine years out of a seventy-year run. The rest of the images are browsable but unindexed, so a name search cannot see them. Can AI tell the difference between a missing record and one I have not searched? No. An AI tool has never seen the shelf, so it cannot separate a record that is absent from one you have not opened. That distinction has to come from you, which is why this episode uses a four-state grid instead of a three-state one. Why do Czech surnames change spelling in American records? The hacek, the small hook over the s in Sebesta, does not exist on an American pen, so clerks wrote what they heard. One family can appear as Sebesta, Shebesta, and Sebasta across three years of one record series. Identify the person by the land, not by the name. Which AI tools does this episode use, and are they free? Perplexity with Comet for record survival research, Gemini Notebook for source-grounded tabulation, and Claude for testing the argument. All three workflows run on free tiers. Gemini Notebook was renamed from NotebookLM in July 2026 and now lives at notebook.google.com. FOR AUSTRALIAN AND UK LISTENERS The same method runs on Australian electoral rolls and the digitised newspapers on Trove, and on English parish and borough rate books at the county record offices, with electoral registers on Findmypast and Scottish records on ScotlandsPeople. The Companion Guide for this episode includes the full absence grid workflow, advanced prompts, and a GPS Research Checklist built for negative evidence. It is all at ancestorsandai.com. Connect with Ancestors and Algorithms: 📧 Email: ancestorsandai@gmail.com 🌐 Website: https://ancestorsandai.com/ 📘 Facebook Group: Ancestors and Algorithms: AI for Genealogy - www.facebook.com/groups/ancestorsandalgorithms/ Golden Rule Reminder: AI is your research assistant, not your researcher. Join our Facebook group to share your AI genealogy breakthroughs, ask questions, and connect with fellow family historians who are embracing the future of genealogy research! New episodes every Tuesday. Subscribe so you never miss the latest AI tools and techniques for family history research.

  8. Sep 15

    Ep. 55: The Blast Radius Method - Audit Your Family Tree With AI

    Most genealogists audit a family tree by hunting for blanks. The dangerous conclusions are the ones that already have a source attached. In this episode, Brian builds a fifteen-person test GEDCOM with five deliberately planted errors, then turns AI loose on it to see how many it catches. Four found. One missed. And the one it missed was the most dangerous error in the file. This is the opposite of how the genealogy world is using AI right now. Everyone is running it forward to find new ancestors. This episode runs it backward, at conclusions you already made and never revisited. You will learn the Blast Radius Method: how to rank every unsupported parent-child link in your tree by how many people collapse if that link is wrong, so you work the conclusions that matter instead of the ones that are easy. Tools used: Claude, Gemini Notebook. All on free tiers. WHAT YOU WILL LEARN How to export a GEDCOM and audit it without giving any tool write access to your treeWhy a census can never establish a birth date, and what it actually provesThe difference between a fact that is sourced and a fact that is supportedWhy unsourced facts are honest and sourced facts are the hazardHow to build a research queue sorted by consequence instead of by alphabet FREQUENTLY ASKED QUESTIONS Can AI find errors in my family tree? Yes, but only the kinds of errors you ask it to look for. In this episode's controlled test, AI caught four of five deliberately planted errors and missed an inadequate citation until asked about citations specifically. A clean report means your questions came back clean, not that your tree is clean. What is the Blast Radius Method? It is a way of prioritizing genealogy research by consequence. You rank every parent-child link in your tree by the number of descendants who depend on it, then work the links with the most people hanging off them and the least evidence behind them first. Can I use AI to analyze a GEDCOM file? Yes. A GEDCOM is plain text, so tools like Claude and Gemini Notebook can read it directly with no conversion. Export a branch rather than a whole tree, strip living people first, and treat every finding as a question to research rather than a defect to fix. Does a census prove a birth date? No. A census records an age as of the official census day, reported by an unknown household informant. The 1880 census day was June 1, 1880. A birth year derived from a census carries at least a two-year range and should never be cited as a birth date. Is a source citation the same as evidence? No. A citation is a promise that evidence exists, made by whoever typed it. A citation can be real, correct, and still inadequate for the specific fact it is attached to. A death certificate is primary evidence for the death and derivative evidence for the birth. Why is FamilySearch unable to export a GEDCOM? FamilySearch Family Tree does not offer direct GEDCOM export. To get your data into a file, you have to use one of FamilySearch's certified partner programs and export from there. THE HONEST OUTCOME The audit did not produce a clean tree. It produced a queue. And the discovery was uncomfortable: the parts of the test file that looked documented were carrying more hidden risk than the parts that were visibly blank, because a source badge is a permission slip to stop looking. Remember: AI is your research assistant, not your researcher. Companion Guide members get the full twelve-prompt audit chain, a citation adequacy table covering nineteen record classes, and a GPS Research Checklist built around evidence you already have. Connect with Ancestors and Algorithms: 📧 Email: ancestorsandai@gmail.com 🌐 Website: https://ancestorsandai.com/ 📘 Facebook Group: Ancestors and Algorithms: AI for Genealogy - www.facebook.com/groups/ancestorsandalgorithms/ Golden Rule Reminder: AI is your research assistant, not your researcher. Join our Facebook group to share your AI genealogy breakthroughs, ask questions, and connect with fellow family historians who are embracing the future of genealogy research! New episodes every Tuesday. Subscribe so you never miss the latest AI tools and techniques for family history research.

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Stuck on a family history brick wall? It's time to add the most powerful tool to your genealogy toolkit: Artificial Intelligence. Welcome to Ancestors and Algorithms, the definitive guide to revolutionizing your family tree research with AI. Forget the hype and confusion. This isn't just another podcast about AI; this is your hands-on, step-by-step masterclass using AI. Each week, host and researcher Brian demystifies the technology and shows you exactly how to apply AI tools to find ancestors, analyze records, and solve your toughest genealogy puzzles. We explore the incredible promise of AI while navigating its perils with an honest, practical approach. Learn to use AI as your personal research assistant—not a replacement for your own critical thinking. Join us to learn how to: Break through brick walls using AI-driven analysis and data correlation.Transcribe old, hard-to-read documents, letters, and census records in minutes.Use ChatGPT, Gemini, and other Generative AI to draft biographies, summarize findings, and organize your research.Analyze DNA matches and historical records to uncover hidden family connections.Master prompts that get you accurate results and avoid AI "hallucinations."Discover the latest AI tech and digital tools for genealogists before anyone else.Whether you're a beginner genealogist or a seasoned family historian, if you're ready to upgrade your research skills, this podcast is for you. Hit Follow now and turn AI into your ultimate secret weapon for uncovering your ancestry.

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