Advisory Board
FoodRef.ai ratings are AI-generated from 11 diet-specific scoring prompts. In May 2026, Liz Cook, MS, RD reviewed all 11 prompts line by line, her corrections were built into them, and she signed the methodology attestation below on May 4, 2026. As of September 2026, 512 ratings she checked individually between May and September 2026 carry a dated "Score verified by" badge. Our methodology page sets out what has and has not been reviewed.
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.