1. AI for cluster (FAN) research
Use AI to structure and interrogate your FAN club instead of just listing names.
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Gather your cluster: neighbors, witnesses, bondsmen, informants, godparents, and recurrent surnames from a limited place and time, just as you would for traditional FAN analysis.[familytreewebinars]
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Paste a concise table or bullet list into an AI model and ask it to: group individuals by surname and locality, suggest possible relationship patterns (kinship, business ties, migration partnerships), and list targeted record types to test each pattern.familytreewebinars+1
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Turn its output into a working hypothesis log: one row per hypothesis (e.g., “Hubbard neighbors are wife’s siblings”), with a column for the specific records you’ll check and a later column for “confirmed/ruled out/uncertain.”familytreewebinars+1
Example prompt:
“Here is a list of witnesses and neighbors associated with William Morgan in Okmulgee County, Oklahoma, 1900–1925 (names, years, record types). Please group them into likely clusters, suggest possible relationships within each cluster, and propose specific record types and time frames I should investigate to test those relationships.”
2. AI‑assisted search strategy design
AI can help you move from a vague brick‑wall question to a prioritized search plan, step by step.emptybranchesonthefamilytree+1
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Start with a tightly framed research objective: person, place, period, and a specific problem (e.g., identity, parentage, origins, or disappearance) and give AI a brief summary of what you’ve already checked.[familytreewebinars]
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Ask for: a list of record types sorted by evidentiary strength; jurisdictional suggestions you might be missing; and alternative name and locality keywords you should try in catalogs and databases.emptybranchesonthefamilytree+1
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Use the AI output to build a formal research plan in your usual format, then annotate it with your own comments, risks, and known coverage gaps.familylocket+1
Example prompt:
“I am researching John Clark, a farmer born about 1870, who appears in Okmulgee County, Oklahoma, in the 1910 census and then disappears after 1925. I have checked federal censuses 1900–1940 and a basic Ancestry and FamilySearch search for ‘John Clark’ in Okmulgee County. Please propose a detailed research plan: record types, specific repositories or online collections, and likely jurisdictions (county, state, federal) where I should look next.”
3. Using AI with RootsMagic‑style citations
AI can help you draft citation wording that you then adapt to RootsMagic’s templates and fields, not replace them.familylocket+1 Click on Read More
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RootsMagic 11’s AI Prompt Builder is designed to send selected facts and ask AI to add historical context or help with narrative, with an option to instruct the model not to invent information.[blog.rootsmagic]
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For citations, genealogists report success feeding AI the raw elements—collection title, website, database name, image number, page, and repository—and requesting a draft that loosely follows Evidence Explained style, which they then adjust and enter manually into RootsMagic source templates.familylocket+1
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Be explicit that you want: (1) a free‑form narrative citation you can copy into notes, and (2) a breakdown into logical components (author/creator, title, publication/website, item‑specific details) to help you map data into RootsMagic fields.rootsmagic+1
Example prompt:
“Please draft a genealogical citation, loosely following Evidence Explained style, for this source that I will enter into RootsMagic: 1910 U.S. census, Okmulgee County, Oklahoma, Okmulgee Ward 2, enumeration district 126, sheet 4A, dwelling 72, family 79, William M. Clark household; digital image, Ancestry (https://www.ancestry.com : accessed 8 March 2026); citing National Archives microfilm publication T624, roll 1265. Then break the citation into labeled pieces: creator, title, jurisdiction, publication/website, medium, and item‑specific details.”
4. Refining queries for major genealogy databases
AI is particularly handy as a “query coach” for Ancestry, FamilySearch, MyHeritage, Findmypast, and major newspaper sites.familylocket+2
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Describe your exact search interface and filters: whether you are searching a global index or a specific collection, which fields you’re filling, and how the site handles wildcards or “exact” toggles.familylocket+1
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Ask AI to propose: variant spellings, nickname patterns, patronymic forms, and locality synonyms; combinations of fields to loosen/tighten (e.g., exact surname + non‑exact birthplace); and whether to pivot to browsing unindexed images or collection‑level catalogs.emptybranchesonthefamilytree+1
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For catalog searching, ask for controlled vocabulary and subject headings that match your objective (e.g., “deeds—Oklahoma—Okmulgee County—indexes” or “Oklahoma—taxation—Okmulgee County—20th century”), which you can paste into WorldCat, FamilySearch Catalog, or state archives portals.familytreewebinars+1
Example prompt:
“I am searching for records of Sarah E. Morgan, born about 1885 in Indian Territory, later in Okmulgee County, Oklahoma. I’m using Ancestry’s main search page. Here are the parameters I’ve tried so far and the results I’m seeing. Please suggest at least ten concrete search configurations I should try on Ancestry and FamilySearch, including name variants, wildcard patterns, and locality or date adjustments.”
5. Turning this into a repeatable workflow
A practical way to make this “stick” is to formalize the interaction with AI into reusable patterns.familytreewebinars+1
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Build prompt templates for: FAN‑cluster analysis, research plan design, citation drafting, and database query refinement, and store them where you keep your research forms or logs.familytreewebinars+1
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Reuse and tweak those prompts per project, much like reusing a research‑log template or report outline, so your AI use becomes part of your standard “research‑like‑a‑pro” cycle rather than an ad‑hoc experiment.familylocket+1
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