Stack audit
Here's my current supplement stack with doses. For each one: best available evidence, realistic effect size, who responds, and whether you'd keep it. Vendor-neutral, no recommendations to buy other things.
AI for supplement decisions
The supplement industry sells you the next thing. AI helps you actually test what you already take.
What we’re actually working with
Supplements are the most marketed and least tested category in personal health. Most people add, never subtract.
Why doing this without a method fails
Influencers and brands sell stacks. Real evidence often disappoints. Most users have never tested whether their stack does anything for them.
The 3-Layer treatment
How the method handles supplements
Layer 01
Research
Have sourced AI read the actual literature on each supplement in your stack — effect size, dose, who responds, who doesn't.
Layer 02
Ledger
Log your current stack with start date, dose, timing, and the symptoms you hoped to change.
Layer 03
Protocol
Run a clean 8-week stop/start test on one supplement at a time. Define success before starting.
Three prompts you can use today
Paste any of these into the AI chat tool you already use. No setup.
Stop-test design
Help me design an 8-week test where I stop [magnesium / fish oil / creatine] cleanly. Define what I'll measure and what change would count as 'works for me'.
Sourced brief
Give me a 1-page sourced brief on the current evidence for [creatine / NAC / berberine] in healthy adults. Cite each claim.
Common questions
Will AI tell me what to take?+
No — and that's the point. The method protects you from the next sales pitch.
Is this medical advice?+
No. AI helps you read evidence and your own response. Decisions stay with you and your clinician.
Why doesn't the course recommend brands?+
Because that's how supplement content gets corrupted. Vendor-neutral by design.
More on supplements
Everything we’ve published that touches this topic — refreshed automatically as new entries ship.
From the blog
One source, four outputs — the quiet 2026 shift in your AI tool stack.
The 2026 AI tool stack shift: one source document now becomes a deck, an explainer video, a podcast, and an infographic — in one tool. The new stack, the keepers, and the cuts.
The 60-year-old mum who got healthy without any of the apps.
For mums fifty and over, the bottleneck is not data — it is the cost of producing it. Four honest lines a week, read by a practitioner, beat any app stack you cannot sustain.
We are our own case study
Wellness & AI built its own recommendation engine using the 3-Layer Stack it teaches. Browse signals, affinity scoring, dismiss-to-learn. Here is why eating your own cooking is the only credible proof.
Your own AI stack is how you stop paying for generic advice.
Your own AI stack lets you challenge practitioners to go beyond protein and sleep. Here’s what’s under the hood — and the questions to bring next visit.
AI literacy is the health upgrade. The shiny "AI health" app isn't.
Learning to use the free AI tools you already have beats buying another "AI health" app. Why AI literacy — not another subscription — is the real health upgrade.
What is an AI Health Stack?
An AI Health Stack is three free chat tools doing three different jobs — research, ledger, protocol — assembled by you. Plain-English explainer.
Case studies
Rethinking Sleep Architecture for Deeper Rest
A practitioner shifted from generic sleep advice to nuanced, evidence-based recommendations by leveraging a multi-tool AI approach.
The individual who replaced three subscriptions with one scheduled prompt
A reader cancelled a habit tracker, a meal planner, and a weekly review app after a single Monday-morning scheduled prompt quietly did all three jobs.
The 60-year-old mum who got healthy without any of the apps.
A South Asian mother in her sixties had tried four wellness apps, two wearables, and three diets. The breakthrough came when her practitioner stopped asking her to track and asked her to write four lines a week.
The platform that became its own case study
How we built a recommendation engine that learns what each visitor needs — and why we published the playbook.
Glossary
AI Health Stack
A personal, tool-agnostic system that uses three free general-purpose AI chat tools as one coordinated health intelligence layer.
3-Layer Method
The Wellness & AI methodology: Research → Ledger → Protocol. Three jobs, three tools, one stack.
Research Layer (Layer 01)
The sourced-search layer of the AI Health Stack. Ranks evidence with linked citations.
Evidence Hierarchy
A simple ranking (RCT > meta-analysis > observational > expert opinion > anecdote) used inside every AI prompt in the stack.
Free 10-Day Challenge
The free entry point to the AI Health Stack. One short prompt per day for 10 days.
Reality Filter
The constraint test the Protocol layer applies — the reason 90% of generic protocols fail and yours does not.
Related topics
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AI for Stress
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AI for Longevity
Skip the guru subscriptions. Use AI to read the longevity literature, your own labs and data, and build a focused protocol that fits your life.
AI for Weight
Daily weight is mostly noise. AI helps you read the trend across months, separate water from fat, and stop reacting to the wrong signal.
Start with 10 free days.
The free 10-day email challenge teaches the same method on whatever data you already collect. No credit card.