Truth-first tree repair
Find wrong links, duplicate people, unsupported jumps, and hidden conflicts before they harden into family history.
Built to protect real family truth
Find the mistakes hiding inside a family tree.
AutoTreeGen helps families and researchers separate evidence from copied guesses, catch wrong ancestors, and preserve the real story behind every relationship.
Wrong linksdetected early
Sources + DNAweighed honestly
Real peopleprotected by review
Truth engine console
review ready
GEDCOMlossless round-trip
DNA clustersconsent-gated signal
Archivessource provenance
Review lanehuman decision queue
Built for people who need the story to be true.
The interface is designed around repeatable research operations: preserve the original, detect risk, compare evidence, explain confidence, and keep humans in the decision path.
GEDCOM Doctor
Preserve originals, show diffs, quarantine risky imports, and keep a rollback path for every repair.
DNA reality checks
Use clusters, segments, shared matches, and endogamy warnings as evidence, never as blind proof.
Human decision surface
Approve, reject, mark as hypothesis, request originals, or send consequential changes to review.
A research console, not another copied-name tree.
AutoTreeGen treats a tree as lived family reality plus evidence. Known family relationships are respected first; documents, DNA, and AI suggestions then audit, protect, and extend the story.
Live reasoning surface
From raw records to defensible conclusions.
Archive
Record extracted and linked to a source packet, not copied as truth
GEDCOM
Imported relationship conflicts compared before any safe patch
DNA
Cluster evidence supports a branch, but still asks for an archive bridge
Review
Consequential updates wait for a person before enforcement
Lived family first
The system respects known family reality first, then audits and extends it with documents and DNA.
Evidence graph
Every visible fact is an assertion with source lineage, confidence, and decision history.
Conflict model
Contradictions are not hidden in notes; they become first-class states that can be reviewed.
Research reports
Readable outputs cite what changed, why it changed, and what remains uncertain.
Merge review
Candidate links move through score bands, provenance checks, and owner-visible review.
Vault privacy
Sensitive archives and DNA artifacts stay behind scoped access and audit policies.
What AutoTreeGen is built to catch.
A wrong ancestor is not a harmless typo. It can move a real person into the wrong family for years. AutoTreeGen makes those risks visible before they become accepted history.
Wrong ancestors
Parent and spouse links that fail dates, places, DNA, or source review.
Copied-tree contamination
Public-tree claims stay reference signals until evidence review confirms them.
Same-name conflation
People are not merged just because names, places, or hints look similar.
Impossible structures
Too-young parents, post-death births, duplicate families, and migration impossibilities.
DNA overreach
Shared cM and clusters support hypotheses; they do not automatically attach a person.
Source-less facts
A relationship without evidence can only remain a hypothesis, never quiet truth.
Signals that keep research honest for years.
The platform is being built for long-lived genealogy investigations where the reason behind a conclusion matters as much as the conclusion itself.
Truth
over completeness
Evidence
over confidence
People
before automation
Sources
before claims
Conflicts
surfaced, not buried
Privacy
by design
Find the truth behind the tree.
AutoTreeGen is moving beyond static genealogy pages into an evidence-first research environment for families, professional researchers, and complex historical cases.