Our Methods
How we create clinically grounded content.
Content Development
1
Taxonomy curation
We maintain a taxonomy of clinical topics based on DSM-5-TR categories, clinical screeners, and common symptom queries.
2
Data grounding
Each article is informed by clinical data including DSM criteria, evidence confidence scores, and screening alignment data where available.
3
LLM-assisted writing
Articles are generated by large language models following strict clinical writing guidelines, then validated for structural completeness, citation presence, and non-diagnostic language.
4
Automated validation
Content passes automated checks for structural completeness, factual consistency, citation presence, and adherence to writing standards.
Writing Standards
- College reading level - accessible but clinically precise
- Non-diagnostic language - "patterns consistent with" rather than "you have"
- DSM-5-TR criteria cited where applicable
- Prevalence data from DSM-5-TR or NIMH estimates (no fabricated statistics)
- Clear distinction between established findings and emerging research
- Every article includes "when to seek help" guidance
Quality Controls
- Articles contain 5-10 substantive sections covering the topic in depth
- FAQ sections target real search queries in a People Also Ask format
- Each article includes 3-6 citations from peer-reviewed or clinical sources
- Content is grounded in existing clinical databases when available
- Medical disclaimers are included on every clinical page
Limitations
Our content has inherent limitations:
- Content is generated by Claude Opus 4.6 and has not been reviewed by a licensed clinician
- Content may not reflect the most current research at any given time
- Individual clinical presentations vary - our content describes general patterns, not individual cases
- This resource is not a substitute for professional clinical assessment