Ensure clinical accuracy when using AI for supplement recommendations by grounding the AI in practitioner-grade brand catalogs (not generic web data), requiring citations on every suggestion, enforcing practitioner approval before any protocol leaves the clinic, and logging an audit trail. SupplementPractice.com is built around these four guardrails.
At a Glance
The Four Accuracy Guardrails
- Grounded — AI sources from real brand catalogs
- Cited — every suggestion includes references
- Reviewed — practitioner is final authority
- Logged — audit trail on every AI recommendation
Why Generic LLMs Fail Clinical Accuracy Tests
Generic LLMs are trained on the open internet, which contains marketing copy, outdated dosages, and unsupported claims. Clinical AI must be grounded in vetted brand monographs, peer-reviewed research, and the practitioner's own dispensary inventory.
