DNA Layer AI guides

Ask better health questions. Keep your private data private.

Six focused DNA Layer guides for evaluating DNA questions, longevity claims, healthspan measurements, and biological-age tests—without sharing personal files or health data in chat.

Last reviewed 5 September 2026

Apps 13

Genetics

DNA Test Guide

Understand what an existing consumer DNA test can still be useful for and how to reuse it more safely.

Try asking

  • What can I still learn from an old 23andMe test?
  • How is a genotyping array different from whole-genome sequencing?

DNA Claim Checker

Test a common genetics headline against effect size, missing context, and the strongest evidence it actually supports.

Try asking

  • Does one MTHFR result mean everyone needs methylfolate?
  • Can one variant predict whether I will develop a disease?

Family Genetics Guide

Prepare a consent-aware, non-diagnostic family conversation without putting a family history into AI chat.

Try asking

  • How can I share a genetic finding with relatives respectfully?
  • What should I ask before recording family health information?

Apps 46

Healthspan

Longevity Evidence Guide

Separate human outcomes from biomarkers, associations, animal studies, and marketing claims for popular interventions.

Try asking

  • What does human evidence really show for sauna?
  • Does improving a longevity biomarker prove longer life?

Healthspan Measurement Guide

Build a minimum-useful measurement approach, reduce tracker noise, or understand one metric without entering a personal value.

Try asking

  • What should I track without drowning in health data?
  • What does HRV measure—and what can it not tell me?

Biological Age Test Guide

Compare age-like tests and ask the validation, repeatability, and actionability questions that matter before buying.

Try asking

  • How should I compare epigenetic and blood-based age tests?
  • Does a lower biological-age score prove rejuvenation?

The evidence ladder

A result is only as strong as the outcome it measured.

  1. Human clinical and functional outcomesDid people live healthier, avoid disease, or function better?
  2. Validated risk factorsIs the change known to matter for an established health decision?
  3. Surrogate or proprietary scoresDoes changing the marker reliably improve the outcome being promised?
  4. Observational associationsCould baseline health, wealth, access, or other behaviors explain the signal?
  5. Cells, animals, and mechanismsUseful for forming hypotheses; not proof of a human health or lifespan benefit.

A deliberate boundary

No DNA files, lab reports, wearable exports, or personal health histories in chat.

The guides use fixed, general questions so they can be useful without collecting sensitive data. They do not diagnose, prescribe, predict lifespan, create a personal supplement or workout plan, or interpret an individual result.

Personal DNA analysis is not performed by these AI guides.