First principles
Humans behave as a complex homeostasis system. “Health” is not a single momentary optimum—it is the stability of long‑term operation. Among daily life variables, food is the only one that enters the biological system every day.
System · Method · Tool
- System: humans (homeostasis system)
- Objective: long‑term stable operation
- Method: nutrition engineering (turn standards into execution)
- Tool: Nutrition Engineering AI (Physical AI, edge‑executed)
Why this is not Language AI
- Language AI: generates advice (probabilistic output, hard to verify).
- Nutrition Engineering AI: solves under constraints and outputs executable plans (verifiable, reproducible).
Objectives & constraints (engineering spec)
- Objective: align with nutrition standards (RDA/DRI).
- Constraints: operate inside mineral balance stability domains (harder).
- Inputs: personal parameters + available foods (real, obtainable).
- Outputs: ingredients + grams + coverage & constraint satisfaction.
Not “what you should eat” — but “the solved daily plan you can actually execute.”
Why mineral balance ratios
“Adequate intake” alone does not guarantee stable long‑term operation. Minerals interact via antagonism and synergy. Therefore, ratios and stability domains are treated as optimization constraints—not afterthoughts.
Verifiability
An engineering system must be verifiable. Daily outputs can be checked against public standards and public food composition data:
- Coverage: compare to RDA/DRI targets
- Constraints: mineral balance stability domain checks
- Executability: real foods with real grams
Boundaries (non‑medical)
- No medical diagnosis
- No disease treatment
- Not a replacement for professional medical advice
If you have health conditions or medications, consult qualified professionals before making significant diet changes.
Data & references (structure; can be expanded)
- Nutrition standards: RDA/DRI (country‑specific mapping possible)
- Food composition: USDA FoodData Central
- Physiology concept: homeostasis