Editorial Policy
How AIForj creates and reviews content
AIForj is built for emotional first aid: short, structured tools and explanatory content meant to help people slow down, orient, and take a useful next step. We aim for plain language, truthful clinical scope, and privacy-first design.
That means we do not write as if AIForj is a diagnosis engine, medication adviser, or replacement for licensed care. When a need crosses that line, pages should clearly route people toward crisis resources or human providers.
Who writes and reviews AIForj content
AIForj content is authored by the AIForj Team.
Clinical framing is reviewed by a Licensed Healthcare Provider. Review is focused on scope, safety, wording, and whether a claim is being stated more strongly than the evidence allows.
How we use evidence
We prefer primary or authoritative sources when a page makes a scientific or clinical claim. That usually means PubMed-indexed studies, systematic reviews, professional associations, and organizations like the WHO or FTC when scope or privacy claims are involved.
When the evidence is indirect, mixed, or still evolving, we say so. We try to avoid brittle neuroscience copy, exact percentages without clear sourcing, and hype that overstates certainty.
How pages are updated
Help and technique pages include a visible last-reviewed date. We update pages when:
- copy overclaims what the evidence can support
- safety boundaries need to be clearer
- links, tools, or routed next steps change
- new evidence meaningfully changes how a page should be framed
We optimize for accuracy and usefulness over novelty.
Clinical scope and safety
AIForj does not diagnose conditions, tell people to change medication, or present itself as crisis care. Our product and content are designed to be narrow on purpose.
For a fuller explanation of privacy, AI boundaries, and crisis handoff, read How AIForj stays safe and What AIForj collects.
Corrections and feedback
If a page feels misleading, unclear, or too strong for the evidence, that is a product issue, not a minor wording issue. AIForj should be corrected toward clearer scope and more reliable guidance.