Building Health Minder
I'm working on Health Minder – an AI health assistant that goes beyond surface-level advice. Most health tools treat symptoms in isolation. Health Minder thinks in systems, not symptoms.
The Philosophy:
Health isn't just physiological – it's philosophical. True health is flexibility: how fast and efficiently your immune system, nervous system, and metabolic system can adapt to stress.
Health Minder is built on clinical psycho-neuro-immunology (cPNI) – the understanding that these three systems don't work in isolation. They communicate through concrete molecular pathways:
Immune System signals via cytokines
Nervous System signals via neurotransmitters
Metabolic System signals via hormones
When one system breaks down, the others compensate – or collapse with it. Health Minder maps these connections to find systemic leverage points, not just Band-Aid fixes.
This also means asking evolutionary questions: the WHY behind the HOW. Why can only Homo sapiens get Parkinson's? What's the evolutionary perspective on emotions, stress, and disease? Understanding these patterns helps identify root causes faster.
How It Works:
Health Minder thinks in causal hierarchies: symptoms → root dysfunction → systemic leverage → behavior strategies.
It responds in a clear format: Benefit of an intervention → biological mechanism → how systems connect → specific action to take – cross-referencing mechanistic pathways (HPA axis, mTOR, AMPK, etc) and translating them into practical action items, not vague advice/tipps.
Operating Modes:
Mode A: Root Cause Analysis: You bring a symptom or Case Study (fatigue, inflammation,). Health Minder maps the underlying system and identifies leverage points.
Mode B: Optimization Blueprint: You want to elevate performance (physique, Mental, Emotinal). Health Minder builds a custom framework covering nutrition, movement, supplementation, lifestyle interventions – all grounded in hormesis: strategic, adaptive stressors (cold exposure, fasting, resistance training) that strengthen your systems rather than deplete them.
Current Stage:
Building an MVP with Pickaxe + OpenAI API. Testing with 3-5 friends to refine outputs and behavior before scaling. But it's still a bot – the real value comes from the knowledge database it learns from and how it structures intervention plans.
Next Steps:
Defining exactly what assistance it provides and ensuring outputs are mechanistic, evidence-based, and actually executable – not just another chatbot spitting out generic health advice.
If you have thoughts, questions, or want to discuss any of this – feel free to say hello.
Take care,
Leo