Mineral Balance Diet is an AI-driven Android app that generates a personalized, executable daily meal plan (foods + grams) to meet your nutrition standards (RDA/DRIs) while staying inside a practical stability domain of key mineral ratios (for example, the calcium–magnesium balance).
Mineral Balance Diet is an executable example of Life Steady-State Engineering .
This app is free to use.
It addresses a long-standing gap that has never been engineered into daily life: people can know nutrition standards, but it’s extremely hard to execute them precisely and consistently every day. Mineral Balance Diet is built to bridge that “knowledge → execution” gap.
Body Maintenance: Simple 90-Day Check-InThis matters most for long-term chronic-risk trends, where diet execution instability accumulates over years. Our core idea is simple: turn nutrition into a solvable engineering system, not advice.
Who it’s for:
What makes it different: it uses multi-constraint optimization to produce an engineering solution under real-world food constraints, instead of recommending “what to eat” in general.
Key features:
Think of it as a personal “daily nutrition engineer”: it performs high-dimensional optimization that humans cannot realistically do every day, and returns one executable answer.
Download on Google PlayExample video:
35243 isn’t a random number. It’s an engineering representation of a bio-system state.
“3” = Tri-state logic
This is not “good/bad”. It answers whether the system is still within a recoverable stability zone.
“5” = five mineral-balance axes
Na↔K, Cu/Se, Cu↔Zn, Fe↔Mn, Ca↔Mg — five axes that together reflect long-term stability vs drift.
“243” = 35 possible combinations
Note: This is for education and trend interpretation. It is not medical diagnosis or treatment advice.
Below is an example of mapping five ratios from a hair report (Na/K, Cu/Se, Cu/Zn, Fe/Mn, Ca/Mg) into a tri-state vector (-1, 0, +1) and a state index in the 243-space.
These ranges are an engineering rule set for the 35243 tri-state mapping and “bullseye” diagram. They describe system stability and drift direction only — not medical conclusions.
Homeostasis (Green Zone) — Stability Region Standard
Using the encoding rule (−1→0, 0→1, +1→2) as base-3 digits:
Hair tests are for trend interpretation and lifestyle management only, not medical diagnosis.
In mineral systems, some elements are not about “more mass” — they are about making reactions work correctly and keeping the system controllable. Magnesium (Mg) and manganese (Mn) are classic control-layer minerals: small shifts in long-term balance can change system stability dramatically.
When Ca/Mg stays high, the engineering meaning is often “harder to relax, slower to recover”.
When Fe/Mn stays high, the system can show “strong output, weaker protection” — a drift toward chronic wear.
For education and long-term trends only; not medical advice.
Zinc (Zn) and selenium (Se) often function like brakes, repair support, and reaction termination — similar in spirit to Mg/Mn. They are not primarily “output boosters”; they help prevent the system from running off the rails.
Cu/Zn behaves like a mode selector: toward Zn → repair/stability; toward Cu → consumption/stress.
Cu/Se reflects whether the system has enough “shutdown capability” to stop chains and clear byproducts.
For education and long-term trends only; not medical advice.
Modern diet patterns are shaped by agriculture, industrial processing, supply chains, pricing, and time pressure. System-level incentives favor foods that are energy-dense, standardized, and convenient.
In many modern patterns, “output-side” signals tend to rise more easily:
“Control-layer” minerals often require more diversity and less processing (and can depend on soil/sea conditions):
For education and trend interpretation only; not medical advice.
From a nutrition-engineering viewpoint, the human body is a long-running homeostasis system. Health is not “one perfect day” — it’s the ability to stay stable and recoverable under daily inputs. Food is the only variable that enters the system internally every day.
The following five ratios act like five coordinated system switches — balancing output vs control:
Na/K acts like a signal-intensity knob. A long-term high-Na / low-K structure tends to push the system toward higher tension, making recovery harder.
Cu supports reactions and electron flow; Se supports termination/cleanup through antioxidant mechanisms. A long-term high Cu/Se implies “reactions start, but shutdown capacity lags”.
Zn supports structural order and repair; Cu supports reactions and output. A long-term drift in Cu/Zn can shift the system from repair-priority toward consumption/stress.
Fe drives output; Mn supports protective control mechanisms. When Fe/Mn stays high, the system can run “strong output with weaker guardrails” — long-run wear accumulates faster.
Ca triggers activation/contraction; Mg supports relaxation and stability. A long-term high Ca/Mg often aligns with “brake weakness”: the system has trouble returning to baseline.
This chapter supports the 35243 tri-state mapping and the “bullseye” engineering interpretation; it is not medical advice.
Read: HSD v0.1.2 — Engineering Specification for Life Steady-State DescriptionCrossing the Recursion Threshold:A Minimal Five-Axis Model for the Origin of Life
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