Use AI to build evidence-based supplement protocols in seconds by feeding the patient's intake survey into an AI Clinical Co-Pilot trained on integrated brand catalogs (Xymogen, Standard Process, Metagenics, Designs for Health) and PubMed-grounded clinical references. The Co-Pilot drafts a fully cited protocol; the practitioner reviews, adjusts, and approves.
What an Evidence-Based AI Protocol Includes
- Specific brand SKU and dose (not generic 'magnesium')
- Clinical rationale tied to intake findings
- Citations to PubMed or brand white papers
- Drug-supplement interaction screen
- Patient-friendly schedule (printable + email)
- Practitioner audit trail of every AI suggestion
Evidence Quality Is Set by the Catalog, Not the LLM
An AI Co-Pilot is only as evidence-based as the data it grounds on. Generic LLMs hallucinate. SupplementPractice.com's Co-Pilot grounds in the live, practitioner-grade catalogs of Standard Process, Gaia Herbs PRO, Xymogen, Metagenics, Designs for Health, and Food Research — meaning recommendations are pulled from real SKUs, real doses, real monographs.
The 60-Second Protocol Workflow
Patient completes intake → AI Co-Pilot drafts protocol with rationale and citations → practitioner reviews on a single screen → one click sends supplement schedule, invoice, and chart entry. Total elapsed time: under 60 seconds for routine cases, 5 minutes for complex cases.
