Advisory Board
Every rating on FoodRef.ai is validated by credentialed nutrition professionals. Our advisory board reviews the AI-generated ratings for clinical accuracy, flags questionable outputs, and attests to the reliability of our methodology.
Reviewing Dietitian
Liz Cook is a Registered Dietitian currently practicing at Happy Strong Healthy, where she works with clients on disease prevention, wellness, and a wide range of clinical conditions. She holds a BS in Nutritional Sciences from Penn State University and an MS in Applied Nutrition from Northeastern University. Over the past decade, she has worked across private practice, corporate wellness, clinical nutrition, and as a campus dietitian.
Methodology Attestation
I have reviewed the FoodRef.ai classification methodology, including the diet-specific system prompts, scoring criteria, and a representative sample of outputs across the platform's dietary frameworks. I find it to be a well-sourced framework for general nutrition education purposes. The system's structured approach—applying clearly defined dietary rules across multiple frameworks and generating compatibility scores, verdicts, confidence levels, and supporting rationale—aligns with established nutrition guidance from credible sources and industry experts. Based on my review, the outputs appear consistent with the stated dietary patterns. While individual needs may vary and no generalized system can capture all clinical nuances, this methodology provides a clear and practical tool for broad use.
— Liz Cook, MS, RD · signed
Interested in Joining Our Advisory Board?
We are looking for additional Registered Dietitians with expertise in specific dietary frameworks to expand our review coverage. Get in touch.