Product accuracy
Availability, supported inputs, pricing and platform claims are checked against current product contracts and public policy pages. Gated features must remain labelled as gated rather than generally available.
Editorial policy
Our standards for product accuracy, health sources, AI-assisted drafting, named editorial oversight, review dates and corrections.
This policy applies to public educational and product pages. It separates verified product facts from general health education and prevents a byline or review label from implying credentials that were not involved.
The practical details
Availability, supported inputs, pricing and platform claims are checked against current product contracts and public policy pages. Gated features must remain labelled as gated rather than generally available.
Health guides should favour government health agencies, recognised medical institutions, standards bodies and primary research when appropriate. Sources should be visible near the page rather than hidden from readers.
AI can help organise a draft, identify questions and improve readability. It cannot serve as the evidence for a health claim, create a reviewer identity or replace human verification of product facts and cited sources.
Health guides are published by LongevityMate with editorial oversight from Lukas Dvorsky, Founder of LongevityMate. That identifies who is accountable for clarity, source checking and updates; it does not imply a medical qualification. Any future specialist contribution will be described only when it has actually occurred and can be represented accurately.
Pages show a reviewed date when practical. Material corrections should update the content and review date. Readers can report an issue to hello@longevitymate.com with the page URL and the statement in question.
Comparison pages should link to official external sources, date the review, avoid unverifiable superiority claims and tell readers to confirm mutable pricing and features before purchase.
Use these links to verify product, policy and external-provider information.
Build a structured history, see the wider context and prepare better questions without treating AI output as a diagnosis.