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AI Disclosure

How Truen Uses AI

Truen uses AI to turn selected engineering evidence into structured hiring context. These outputs are decision support, not automated hiring decisions.

Last updated: July 12, 2026

These pages describe how Truen currently works. They are product disclosures, not legal advice. Have qualified counsel review them before a public launch or paid commercial release.

Where AI is used

  • Truen uses AI to analyze selected GitHub repository evidence and produce a Truen Profile with narrative, capability dimensions, confidence, evidence references, weaknesses, flags, limitations, and interview follow-ups.
  • When a student connects AI coding-tool signals through Truen Connect and enough corpus evidence exists, Truen may use AI plus deterministic signal checks to assess AI collaboration style. Without sufficient connected evidence, that section remains not yet assessed or insufficient evidence.
  • Direct employers may use AI to generate job-relative qualification analysis after a student applies.
  • Recruiters may use AI to generate qualification-brief assessments for candidate submissions or attested public-GitHub reports, and may share those assessments on revocable read-only links.

What AI receives

  • During profile or report generation, AI prompts may include selected repo metadata, commit messages, pull request titles and bodies, issue titles and bodies, file paths, selected code samples, selected markdown documentation, generated repo insights, and — when connected — redacted AI-tool session signals and capped excerpts.
  • After a student profile generation run settles (success, skip, or failure after retries), Truen deletes the raw GitHub working-set rows from its own databases. The generated profile may still retain selected evidence snippets and references that support claims. AI providers process inputs under their own terms during generation.
  • The system is designed to prefer insufficient evidence over unsupported conclusions, but AI-generated text can still be incomplete or incorrect.
  • Profile and share-link outputs may include selected code snippets or commit message samples as evidence.

Decision-support limits

  • Truen does not make final hiring decisions and does not guarantee candidate performance, interviews, introductions, or employment outcomes.
  • Employers and recruiters must use human review and independent judgment before making hiring, rejection, screening, or introduction decisions.
  • A qualification fit result is not a score, rank, or automatic rejection. It is a role- or brief-specific interpretation of available evidence.
  • Truen is not a consumer reporting agency and its outputs are not intended as consumer reports under applicable background-check laws.

Known limitations

  • GitHub evidence can be incomplete, sparse, squashed, private, collaborative, or shaped by school, employer, open-source, or NDA constraints.
  • Selected repositories may not represent the full candidate. Thin evidence should lower confidence rather than force a positive or negative conclusion.
  • Public-GitHub recruiter reports only see public repositories the recruiter attested they are authorized to assess, and never include private AI-tool telemetry.
  • Qualification analysis may be regenerated by employers or recruiters and can differ from a frozen profile snapshot.
  • Because raw GitHub evidence is purged after generation, later regeneration depends on re-fetching from GitHub under a valid authorization.

Candidate review and disputes

  • Candidates can review their Truen Profile in-product before applying or submitting to a recruiter.
  • If you believe a profile claim, flag, or assessment is inaccurate, contact Truen using the contact channel listed with these disclosures and include enough detail for us to locate the account and the disputed output.
  • Already-shared application or recruiter snapshots may not automatically change when a live profile is corrected or regenerated.
Questions about these disclosures, correction requests, or deletion requests? Contact the Truen team before connecting repositories, submitting to a recruiter, or applying to a role. You can also review the Privacy Policy, Terms, AI Disclosure, and Subprocessors.