Ancestors and Algorithms: AI for Genealogy

Ep. 42: Writing the Proof - How AI Helps You Make Your Case

You can write a genealogical proof argument using 3 AI tools in one afternoon: NotebookLM organizes your evidence, Claude drafts and stress-tests the argument, and ChatGPT reviews it for plain-language clarity. This is the GPS Mini-Series capstone on Element 5. What you'll learn: * The three-part proof argument structure: Statement to be Proved, Evidence Presentation, Analysis and Reasoning * How to prompt NotebookLM to surface inconsistencies in your sources before you write a single sentence * How to ask Claude to draft an argument that flags its own logical weak points * How to run a clarity review so the argument holds up for anyone who inherits your research * The difference between a proof statement, proof summary, and full proof argument This episode is for you if you search: how to write a genealogical proof argument, GPS Element 5, NotebookLM genealogy, Claude for genealogy research, AI tools for family history writing, BCG proof argument, Genealogical Proof Standard tutorial, genealogy AI workflow. Outcome: Full Breakthrough. Two genuine source inconsistencies resolved. One finished, submission-quality argument. The AI held the pen. The standard was Brian's to meet. Australian and UK researchers: the Genealogical Proof Standard is recognized across the English-speaking genealogical world. The Society of Australian Genealogists (sag.org.au) and the Society of Genealogists (sog.org.uk) both publish compatible research standards for your records. Patreon members get the Companion Guide: 12 advanced prompts, a GPS Research Checklist, and a full multi-step workflow from raw sources to finished argument. Everything else is 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.

Ep. 41: Tracing Enslaved Ancestors with AI | Using Perplexity, Claude, NotebookLM, and ChatGPT to Navigate the 1870 Wall

Brian uses 4 AI tools to trace a formerly enslaved Mississippi ancestor across 6 record collections and through the 1870 Wall. This is what African American genealogy research looks like when AI and the Genealogical Proof Standard work together. If your ancestor was enslaved, the census did not record their name before 1870. Every year before that belongs to a completely different research strategy, and today you will learn exactly what that strategy looks like in action. What you will learn in this episode: * How to use Perplexity to map the specific records that survived in your ancestor's county before you search a single database * How to use Claude to analyze Freedmen's Bureau documents, labor contracts, and estate inventories for clues you would otherwise miss * How to upload multiple documents to NotebookLM and build a source-grounded evidentiary timeline that only draws on what you can actually prove * How to use ChatGPT to brainstorm every explanation for why an ancestor disappears from the record after 1880 * How to use the 1860 slave schedule and probate records to connect a formerly enslaved ancestor to a specific property before emancipation * What the FAN club method (Family, Associates, and Neighbors) looks like in this era, and why it is the primary tool for breaking through the 1870 Wall * Why the Freedman's Bank records on FamilySearch are free to search and can contain more personal detail than a dozen census entries combined * What honest research in this area looks like, including what AI cannot do, and what the silence in these records actually means This episode ends as a partial answer. The wall is thinner. It is not gone. That honesty is the point. For Australian and UK researchers: these techniques apply directly to Aboriginal and Torres Strait Islander ancestry research through AIATSIS and state records offices, and to British colonial slavery research through the Legacies of British Slavery database at UCL and The National Archives at Kew. The Companion Guide includes 12 advanced prompts for African American genealogy research, a multi-step 1870 Wall workflow, a GPS Research Checklist, and a guide to every Freedmen's Bureau record type. Available to Patreon members 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.

Ep. 40: Seven Heirs - How AI Decodes a Tennessee Probate Mystery

You've found the estate settlement. You've counted the heirs in the distribution sheet. And the math doesn't add up. Nine children appear in the 1860 census. Seven names appear in the 1874 settlement. Two heirs are gone with no explanation, no death notation, and no trace in the legal record. That is where this episode begins. Probate records are among the most underused sources in American genealogy. When an ancestor died without a will, the intestate settlement process required the court to document every legal heir by law. When someone is missing from that list, there is always a reason. This episode shows you how to find it. In Episode 40 of Ancestors and Algorithms, host Brian works through an 1870s Tennessee intestate estate using four AI tools: Claude, Perplexity, ChatGPT, and NotebookLM. Step by step, prompt by prompt, you watch AI transform a dense 19th-century legal document into a focused research roadmap for tracing missing heirs. WHAT YOU'LL LEARN: How to use Claude to analyze a probate distribution sheet and surface the anomalies that are easy to read past, including a buried legal clause that completely changed the research direction. How to use Perplexity to research historical intestate succession law so you understand exactly why a legal heir might be absent from an estate settlement with no death record to explain it. How to use ChatGPT to generate every plausible reason a family member might be missing from a probate document, including scenarios most researchers never consider: daughters recorded only under married surnames, guardianship proceedings filed separately from the estate, and creditor debt attachment. How to use NotebookLM to cross-reference census records, tax lists, and estate documents together and identify what the evidence actually establishes versus what you are inferring. THIS EPISODE IS FOR YOU IF: * Your ancestor's probate distribution lists fewer heirs than the census records suggest there should be.  * You are facing a 19th-century estate settlement full of archaic legal terms you cannot parse.  * You research Tennessee ancestry from the Civil War era through the early 1900s.  * An ancestor disappeared from the records after a death in the family and you have no idea where to look next.  * You want to see exact, copy-paste AI prompts designed for genealogy research before trying them yourself. The outcome is honest: this mystery is not fully solved. The research produced two legally grounded theories and identified a precise next record set in a physical archive that has not yet been digitized. Sometimes the win is knowing exactly where to look. That is real genealogy. TOOLS: Claude, Perplexity, ChatGPT, NotebookLM RECORDS: Intestate estate settlements, distribution sheets, probate inventories, Tennessee county tax records, FamilySearch Tennessee Probate Court Files 1795-1955 GPS: All five elements of the Genealogical Proof Standard Companion Guide and free resources 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.

Ep. 39: Norwegian Genealogy - AI Solves the Patronymic Mystery

If you can't find your Norwegian ancestor in genealogy records, the problem is almost certainly the name. Norway used a patronymic naming system until 1923, meaning most Norwegian-Americans carried completely different surnames in their homeland than the names their families kept in America. A woman who appears in Minnesota records as Astrid Solberg was never called Astrid Solberg in Norway. Not once. In this episode of Ancestors and Algorithms, host Brian works through a complete AI-powered research workflow that starts with a blank Digitalarkivet search result and ends with a specific farm in Kviteseid parish, Telemark, demonstrating exactly how four free AI tools can crack open a Norwegian line that seemed impossible to trace. What you will learn: Why Norwegian-American surnames like Halverson, Solberg, and Olson look nothing like the matching Norwegian record, and the exact naming logic that makes every transformation predictable once you understand it. How to search Digitalarkivet, Norway's free national digital archive, using correct Norwegian naming conventions instead of the American surname that returns zero results. How to use Perplexity to build a research map of a specific Norwegian parish before opening a single record, so you know exactly what exists, what is missing, and where to look next. How to use Gemini 3 Pro in Google AI Studio to transcribe handwritten 19th-century Norwegian census pages and emigration departure lists in old Norwegian script. How to use Claude to compare documents from two countries and build a structured evidence table that shows exactly what has been proven and what is still missing. How to use NotebookLM to construct a GPS-compliant evidence argument and determine honestly whether your identification is proven, probable, or still open. This episode covers Norway's 1865 and 1875 census records, kirkebøker (parish registers), and afgangslister (emigration departure lists), all free on Digitalarkivet. The workflow applies to Norwegian ancestors from any region: Telemark, Hordaland, Rogaland, Trøndelag, Vestlandet, or Østlandet. The outcome of this research is a partial answer. A strong, evidence-based case pointing to the right family, with one link in the chain still unconfirmed. That is what honest genealogy research looks like, and this episode shows you exactly how to get there and what to do next. If your Norwegian line has gone cold because the name does not match, this is exactly where to start. Companion Guide and advanced prompts available for members at ancestorsandai.com. Free for all listeners to begin today. 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.

Ep. 38: The Research Map - How AI Finds the Records You're Missing

Most genealogists search 4-6 databases and miss 70% of the records that exist for their ancestor. In this episode, we fix that. If you have ever searched Ancestry, FamilySearch, and a couple of other databases and still hit a wall, this episode is for you. The problem is not that the records do not exist. The problem is that you do not know what records exist or where to find them before you start searching. That is the gap this episode closes. In Episode 38, Brian introduces the Research Map: a structured, AI-powered framework you build before you search a single database. Using Claude, ChatGPT, and NotebookLM, you will learn how to map every record type, every repository, and every access pathway relevant to your specific ancestor, including the ones that never appear on Ancestry or FamilySearch. In this episode, you will learn: * Why most genealogists are only searching 20-30% of the records that actually exist for their ancestor, including the three mental habits that keep them there * The Research Matrix Prompt: how to use Claude to generate a comprehensive, prioritized list of every record type relevant to your ancestor's time, place, and background. Results are organized by repository, digitization status, and research priority * The "What Am I Missing" Prompt: how to use ChatGPT to surface specialty repositories, local archives, ethnic community records, and record types that no major platform indexes. Includes how to flag which suggestions need verification before you act on them * How to use NotebookLM to cross-reference and synthesize your research map into a source-backed, conflict-resolved action plan * Why a 1880 Special Schedule of Agriculture for Iowa was sitting on FamilySearch the entire time, searchable for free, and why it never showed up in a standard census search * How Iowa state censuses going back to the 1840s represent years of uncollected evidence that most researchers have completely skipped * The difference between a failed search and a genuine absence of records, and why confusing the two stops research in its tracks * How GPS Element 1 (Reasonably Exhaustive Research) defines the standard professional genealogists use, and how AI helps you meet it The AI Tools Featured: * Claude (claude.ai): Research Matrix Prompt, record type mapping, repository identification * ChatGPT (chatgpt.com): Specialty repository brainstorming, ethnic and local archive surfacing * NotebookLM (notebooklm.google.com): Source-grounded synthesis and cross-referencing All workflows use free tiers. No paid subscription required to follow along. The Genealogical Proof Standard Connection: This episode is Part 3 of the GPS Mini-Series within Ancestors and Algorithms. Episode 38 focuses on GPS Element 1: Reasonably Exhaustive Research, which is the standard that says you must search every source that could reasonably be expected to hold information about your ancestor before drawing a conclusion. AI does not replace that standard. It helps you finally know what that standard requires. The Teaching Scenario: This episode uses a composite ancestor named Silas Renner, a post-Civil War German-American farmer in Buchanan County, Iowa, with a documented two-year gap in his record between 1865 and 1867. The research map built in this episode surfaces record types most researchers have never searched, and which found three records that had been sitting in free databases the entire time. For Australian and UK Genealogists: The Research Map framework applies directly to your research. For Australian researchers, the same framework surfaces resources including Trove (trove.nla.gov.au), the National Archives of Australia (naa.gov.au), Public Record Office Victoria, and State Records NSW, covering record categories that sit outside the major platform indexes just as they do for American research. For UK researchers, the framework applies equally to county record offices, the British Newspaper Archive, ScotlandsPeople (scotlandspeople.gov.uk), and specialist collections at The National Archives (nationalarchives.gov.uk). The method is identical. Different archives. Resources Mentioned: * FamilySearch Iowa Non-Population Census Schedules (familysearch.org) * FamilySearch Iowa Grand Army of the Republic Membership Records (familysearch.org) * Chronicling America (Iowa newspapers) at loc.gov/chroniclingamerica * HathiTrust Digital Library (county histories) at hathitrust.org * State Historical Society of Iowa (iowaculture.gov) * GPS Mini-Series: Episode 30 (Overview), Episode 35 (Element 4), Episode 38 (Element 1), Episode 42 (Element 5, coming) Companion Guide: The Companion Guide for this episode includes 12 advanced prompts built on the Research Map framework, including specialized versions for African American pre-1870 research, international non-English archives, and DNA-integrated research planning. Available for Patreon members at ancestorsandai.com. Join the Community: "Ancestors and Algorithms: AI for Genealogy" is our private Facebook group for genealogists learning to use AI tools in their research. For everything, including every episode, the community, Companion Guides, and The Research Lab: visit 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.