TE Tirzepatide Editorial

Governance

AI Use and Content Production Policy

Direct answer

Artificial intelligence tools may assist with drafting, structuring, and checking content on this site, but no factual claim is published on the authority of a model. Every clinical claim traces to FDA labelling or a named trial, every commercial claim to a dated capture, and medical content is reviewed by a named clinician before publication.

Key takeaways

  • AI tools may assist with drafting and structure; they are never the authority for a factual claim.
  • Every clinical claim traces to FDA labelling or a named trial with verified identifiers.
  • Every commercial claim traces to a dated first-party capture from a named source.
  • Model-generated citations are never published without independent verification of the identifier.
  • Medical content is reviewed by a named, NPI-verified clinician regardless of how it was drafted.
Key facts
AI-assisted draftingPermitted
AI as source of factProhibited
Citation verificationEvery identifier checked against ClinicalTrials.gov or PubMed independently
Medical reviewRequired regardless of drafting method
Mass generationProhibited — every indexable page must add original information
Verified
Reviewed by Kim Callender, NP, FNP-BC
Published 2026-07-22
Editorially updated 2026-07-22
Fact verified 2026-07-22
Dataset snapshot 2026-07-22
Methodology v1.0

Why is model-generated citation the specific risk?

Because language models produce plausible identifiers. A fabricated PMID or DOI looks exactly like a real one, and a reader who does not click through cannot tell the difference. On this site every identifier is checked against the registry or PubMed before publication, and where that check has not been completed the numeric claim is withheld and the page says Verification Pending.

What about mass-generated pages?

They are prohibited. Producing many near-identical pages by varying a drug name, provider name, or query phrasing is the dominant failure mode in this category, and it is tested for: pages above a meaningful-similarity threshold fail the build rather than being published.

What controls are applied?

  • Independent verification of every trial identifier before publication.
  • Named clinical review of medical content.
  • Automated duplicate-similarity testing across all indexable pages.
  • Fail-closed handling — unverified facts are withheld, not smoothed over.
  • No hidden text, invisible keywords, or instructions directed at AI systems.

How much of this site's data is actually verified?

Trials with full identifiers8Trials partially verified1Trials withheld pending audit1Providers with verified all-in price5Providers excluded with reason19Records
The published state of every dataset behind this site. Records that fail verification are excluded and counted here rather than being quietly estimated.
Data for: Verification state of the published datasets
GroupRecords
Trials with full identifiers8
Trials partially verified1
Trials withheld pending audit1
Providers with verified all-in price5
Providers excluded with reason19
Evidence statuses applied across every page and dataset
Evidence statusDefinitionWhat may be published
VerifiedChecked against a primary source with a recorded dateThe claim, with its identifier and date
Partially verifiedSome elements confirmed, others outstandingConfirmed elements only; the rest labelled
Verification PendingNot yet checked against a primary sourceNo factual assertion — the gap is shown

What does this page cover, and what does it deliberately leave out?

This page addresses Human verification, medical review and anti-fabrication and provenance, organised around the primary question of AI medical content policy. Each of those elements is treated separately below rather than blended, because they carry different evidence weights and a reader is entitled to know which parts rest on randomised data and which rest on a captured commercial claim or a regulatory document.

Scope of this page and the basis for each element
ElementTreatment hereEvidence basis
Human verificationCovered on this pageRegulatory or policy source
Medical reviewCovered on this pageRegulatory or policy source
Anti-fabrication and provenanceCovered on this pageRegulatory or policy source
Individualized clinical instructionDeliberately not coveredBelongs with the corrections process

What are the limits of what this page can tell you?

Every page on this site rests on a specific published policy, and that record has boundaries worth stating plainly rather than leaving a reader to discover them. The limitations below are specific to the material presented above.

Specific limitations.
  • The evidence here describes groups, populations, or captured records — it does not describe you, and no page can substitute for the corrections process.
  • Figures carry the date on which they were verified. In a market where terms change frequently, an undated figure functions as a claim about the present that nobody has checked.
  • Elements marked Verification Pending are genuinely unknown to this publication rather than merely omitted for brevity, and should not be inferred from surrounding content.
  • Where a source conflicts with another, this site shows the conflict rather than resolving it, which means some questions are left open on purpose.

What would change the conclusion on this page?

This conclusion is held open to the following evidence:

  • New primary evidence bearing directly on AI medical content policy.
  • A change to FDA labelling affecting any statement made above.
  • A verified correction submitted through the corrections process and accepted on the evidence.
  • A material change to a captured record, including a price, term, or regulatory status.
  • Completion of a verification currently marked pending, which would replace a gap with a stated fact.

Frequently asked questions

Do you use AI to write content?

AI tools may assist with drafting and structure, but no factual claim is published on a model's authority.

How do you prevent fabricated citations?

Every identifier is checked against ClinicalTrials.gov or PubMed independently; unverified ones are withheld.

Do you generate pages at scale?

No. Similarity testing fails the build for near-duplicate pages.

Is there hidden content aimed at AI systems?

No. No hidden text, invisible keywords, or ranking instructions are used.

Change history

Substantive changes to this page
DateChange
2026-07-22Page published with current dataset snapshot.

Dates change only for substantive edits, never for cosmetic changes. Corrections: corrections policy.

What else is in this section?