mattprusak

mattprusak / autoresearch-genealogy

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Structured prompts, vault templates, and archive guides for AI-assisted genealogy research. Built for Claude Code.

339
19
100% credibility
Found Mar 19, 2026 at 341 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A set of templates, guides, and step-by-step instructions for using AI to research, organize, and verify family genealogy from personal notes.

How It Works

1
🏠 Discover the family history toolkit

You stumble upon this helpful collection of guides and templates while searching for ways to uncover your ancestors' stories.

2
📥 Set up your family notebook

Download the ready-made templates and place them in a folder on your computer where you keep personal notes.

3
✏️ Fill in what you know

Open the family tree file and jot down details about yourself, parents, and grandparents from memory or old photos.

4
📸 Add your documents

Scan or photograph birth certificates, letters, and pictures, then save them alongside your notes.

5
🔍 Ask the AI to expand your tree

Copy a simple research instruction into your AI chat helper, and watch it search online to find more ancestors and details.

6
✅ Review and improve results

Check the new findings against your documents, fix any mismatches, and run more instructions for deeper discoveries.

🌳 Unlock your family story

Celebrate as your notebook fills with verified ancestors, timelines, and connections across generations.

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Star Growth

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AI-Generated Review

What is autoresearch-genealogy?

This repo delivers structured prompts, Obsidian vault templates, and detailed archive guides to supercharge AI-assisted genealogy research. Paste the chatgpt structured prompts into Claude Code's autoresearch command, and it autonomously expands family trees, cross-references sources, hunts immigration records, and analyzes DNA segments—while enforcing verification loops to maintain rigor. You get a ready-to-use markdown vault for tracking trees, timelines, and hypotheses, plus region-specific guides on free vs. paid databases, all adaptable to any LLM with structured output support.

Why is it gaining traction?

With 339 stars, it stands out as a github structured prompts playbook for real-world LLM autoresearch, turning fuzzy family history into measurable progress via goals, metrics, and self-verifying iterations. Unlike generic AI tools, these well-structured prompts handle genealogy's nuances—like conflicting sources and probabilistic confidence—producing github llm structured output that updates your vault directly. Developers dig the concrete humanities example of structured rag github workflows, blending web search, OCR pipelines, and GEDCOM exports.

Who should use this?

Genealogists with DNA kits, scanned docs, or old photos who want AI to accelerate tree-building without sloppy guesses. AI tinkerers exploring autonomous loops beyond code. Hobbyists tackling European immigrant lines, colonial US records, or Jewish genealogy via structured prompts openai style.

Verdict

Grab it if you're into ai-assisted research—docs are thorough, workflows battle-tested on 9 generations, but the 1.0% credibility score and modest stars signal early maturity; contribute to mature it. Solid starter for structured prompts meaning business in niche domains.

(198 words)

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