New AI releases: Google launched Gemini 3.6 Flash and 3.5 Flash-Lite; OpenAI rolled out GPT-5.6 Sol while scheduling the retirement of GPT-4.5 and o3; and Perplexity, xAI, and various open-weight models expanded the field of options.
Genealogy impact:
Faster, cheaper models are speeding up bulk transcription, cleanup, and extraction, while premium reasoning models and search-first tools are improving conflict analysis, locality guides, and narrative drafting.Ready-to-use workflows: Genealogists can now combine fast models for record extraction, Perplexity for source hunting and structured outputs, and top reasoning models — GPT-5.6 Sol, Claude Sonnet 5, and Grok 4.5 — for proof arguments and research planning.
Research workflows boosted: New tools let genealogists manage end-to-end tasks — search, structured extraction, timelines, and document drafting — all within AI environments, with a growing emphasis on sustained analysis over quick answers.
The practical strategy this week is to separate tasks by type: use a fast, economical model for bulk extraction and cleanup, a stronger reasoning model for conflict analysis, and a search-oriented product for cited source hunting. That division maps well to real genealogy work, where accuracy depends on moving from raw records to evidence to proof in stages.perplexity+3
Plug-and-play micro-workflows
Transcribe cemetery photos with Gemini 3.6 Flash, then ask it to normalize names, dates, and epitaph fragments into a table.
Use Gemini 3.5 Flash-Lite to batch-clean a CSV of misspelled place names from a probate index.
Run a census household extract in Perplexity’s newer model set and ask for a citation-first summary of family structure and neighbors.
Use GPT-5.6 Sol in ChatGPT to build a research plan for a brick wall in one county, with hypotheses and record priorities.
Ask GPT-5.6 Sol to compare conflicting death dates from a death certificate, cemetery marker, and obituary, then rank evidence quality.
Use Grok 4.5 via API to automate a repeatable extraction prompt across many scanned pages of deed abstracts.
Use Perplexity Sonar online models to locate current repository information for a county courthouse, archive, or tribal records office.
Use Perplexity Deep Research to assemble a locality guide for one county, including record types, access paths, and likely gaps.
Use Perplexity’s structured outputs to turn a research session into a spreadsheet of sources checked, findings, and next steps.
Use GPT-5.6 Sol to draft a proof argument outline from your evidence summary, then revise it manually for genealogical standards.
Use Gemini 3.5 Flash-Lite to sort a long list of rural place references into modern county, state, and historical jurisdiction columns.
Use Claude Sonnet 5 in Perplexity for polished rewrite work on a family narrative that needs clearer prose.
Use Claude Sonnet 5 to turn rough notes into a clean research log entry with action items and source citations placeholders.
Use Nemotron 3 Super inside Perplexity for long-context review of a multi-page probate packet or land case file.
Use Kimi K2.7 Code to help generate a script that converts exported research notes into Markdown or CSV.
Use Gemini 3.6 Flash to extract every witness, grantor, grantee, and township from deed book page images.
Use GPT-5.6 Sol to evaluate whether two men with the same name are likely the same person based on timeline conflicts.
Use Grok 4.5 for fast brainstorming of “what else should I check?” when you have a stubborn identity problem.
Use Perplexity’s Comet/Deep Research workflow to move from source finding to a deliverable such as a locality checklist or source map.
Use a current open-weight model such as Qwen or Mistral for local, privacy-conscious cleanup of sensitive family notes before moving them into your main genealogy system.docs.perplexity+3
Use Gemini 3.5 Flash-Lite to draft alt-text or brief descriptions for labeled family photos and album pages.
Use GPT-5.6 Sol or Claude Sonnet 5 to convert a pile of rough record abstracts into a narrated ancestor timeline.
Use Perplexity’s newer models to generate a “records not yet checked” list from a research question and a location.
Use Grok 4.5 or GPT-5.6 Sol to create a classroom handout explaining how genealogists should verify AI-generated clues before citing them.perplexity+3
A good working pattern: fast model for extraction, search-first model for source discovery, and strongest reasoning model for conflict resolution and proof writing.docs.perplexity+2
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