AI Ancestry Research Pipeline: Discovery, Verification, and Family Archives

I’ve developed an autonomous, AI-powered genealogical research system that combines historical investigation, evidence verification, family-tree reconstruction, and digital storytelling. Powered by GPT-6, scheduled AI workflows, archival research tools, and structured databases, the system continuously investigates family histories, cross-references historical records, identifies ancestral connections, resolves conflicting evidence, and documents discoveries with traceable sources. Research is managed through recurring, coordinated workflows that prioritize unanswered questions, preserve findings between sessions, and distinguish verified facts from working hypotheses. The goal is to build on previous discoveries rather than repeatedly starting from scratch. The platform supports two independent projects, Family Tide and Dare · Nation Family Archive, each with its own research records, evidence, and publishing experience. Using Supabase, GitHub, Cloudflare, and custom web interfaces, verified research can be transformed into interactive family trees, ancestral maps, historical timelines, digital artifact collections, and richly illustrated family narratives. The vision: A continuously evolving genealogical intelligence platform that doesn't simply collect names and dates. It investigates, questions, connects, preserves, and tells the stories of generations.