Reference

Glossary of the AI Health Stack.

The canonical definitions of the vocabulary used across this site, the course, and the membership. Cite any term by its anchor link.

AI Health Stack

A personal, tool-agnostic system that uses three free general-purpose AI chat tools as one coordinated health intelligence layer.

Coined by Wellness & AI, the AI Health Stack is the canonical name for a method that turns three ordinary AI chat interfaces into a coherent personal health system. Each chat tool plays a specialized role: a Research layer (sourced search), a Ledger layer (long-context memory of your daily notes), and a Protocol layer (conversational planning that respects real-world constraints). The stack is owned by the user, not by a vendor.

See also: 3-Layer Method, Research Layer (Layer 01), Ledger Layer (Layer 02), Protocol Layer (Layer 03), Personal AI

3-Layer Method

The Wellness & AI methodology: Research → Ledger → Protocol. Three jobs, three tools, one stack.

The 3-Layer Method assigns one job to each AI chat tool in your stack. Layer 01 Research uses sourced search to rank evidence (RCTs, meta-analyses) above influencer claims. Layer 02 Ledger uses long-context memory to accumulate weeks of mixed-format notes into a biological narrative. Layer 03 Protocol translates research and patterns into a single-variable, constraint-aligned plan you can actually keep.

See also: AI Health Stack, Research Layer (Layer 01), Ledger Layer (Layer 02), Protocol Layer (Layer 03)

Research Layer (Layer 01)

The sourced-search layer of the AI Health Stack. Ranks evidence with linked citations.

The Research layer answers ‘what does the evidence actually say?’ It uses any AI chat tool capable of live web search and citation. The user learns to assess evidence strength — peer-reviewed RCTs and meta-analyses outrank blog posts, podcasts, and influencer claims.

See also: AI Health Stack, Evidence Hierarchy

Ledger Layer (Layer 02)

The long-context memory layer. Accumulates daily notes into a coherent biological narrative.

The Ledger layer is your private, AI-readable health journal. It uses any AI chat tool with a long context window so weeks of plain-language entries (sleep, food, mood, cycle, labs) can be re-read together. Continuity over perfection: 60-second daily entries, three times a week, beat perfect plans you abandon.

See also: AI Health Stack, 3-Layer Method, AI Health Journal

Protocol Layer (Layer 03)

The conversational planning layer. Translates research + patterns into a livable plan.

The Protocol layer binds research findings and your personal patterns to your real constraints — travel, work, family, side effects. The output is a single-variable, testable plan ready for review by a qualified practitioner. It is not medical advice; it is a better question.

See also: AI Health Stack, 3-Layer Method, Reality Filter

Evidence Hierarchy

A simple ranking (RCT > meta-analysis > observational > expert opinion > anecdote) used inside every AI prompt in the stack.

The Evidence Hierarchy is the ranking the Research layer asks the AI to apply when synthesizing answers. It is the single biggest reason the AI Health Stack outperforms generic LLM ‘health copilots’: the user explicitly tells the model which sources matter.

See also: Research Layer (Layer 01), AI Prompt Anatomy

Free 10-Day Challenge

The free entry point to the AI Health Stack. One short prompt per day for 10 days.

The Free 10-Day Challenge is the on-ramp to the full method. No credit card. By Day 10 the user has a working version of the stack and can decide whether to continue with the 12-day Course. EU-built, GDPR-first.

See also: AI Health Stack

Personal AI

AI used by an individual for their own thinking — not as a product they pay for, but as a method they own.

Personal AI is the broader category Wellness & AI lives inside: an individual using general-purpose chat tools as cognitive infrastructure rather than as a SaaS product. The AI Health Stack is the personal-AI architecture for biology. Personal AI rejects vendor lock-in by design.

See also: AI Health Stack, Health Sovereignty

Health Sovereignty

The principle that your biological narrative belongs to you — not to an app, a clinic, or a model vendor.

Health Sovereignty is the ethical spine of the AI Health Stack. Your data lives in chat threads you export, not in a vendor's database. Your stack is portable across tools. Your interpretation is yours to share with practitioners on your terms. EU-built, GDPR-first, never trained on, never sold.

See also: Personal AI, AI Health Stack

Sunday Integration Hub

The weekly 20-minute ritual where the three layers merge — patterns meet evidence, evidence meets a plan.

The Sunday Integration Hub is the weekly cadence of the AI Health Stack. Twenty minutes, once a week. Pull the week's Ledger entries, ask the Research layer the questions they raise, and let the Protocol layer draft next week's single-variable experiment. The ritual is what turns daily logging into compounding insight.

See also: Ledger Layer (Layer 02), Protocol Layer (Layer 03), 7-Intelligence Flow

AI Prompt Anatomy

The Wellness & AI structure for a health prompt: role, evidence rules, constraints, output shape, escalation clause.

Every prompt in the AI Health Stack follows a consistent anatomy: a role (the AI's job), explicit evidence rules (the Evidence Hierarchy), the user's real-world constraints, the desired output shape, and an escalation clause that names when to bring a qualified practitioner into the loop. Anatomy makes the method teachable.

See also: Evidence Hierarchy, 3-Layer Method

7-Intelligence Flow

The seven-step cognitive pipeline: Origin → Search → Filter → Capture → Pattern → Synthesize → Recipe.

The 7-Intelligence Flow is the cognitive pipeline the 3-Layer Method runs on. A real-life moment becomes a sourced search, a filtered finding, a Ledger entry, a recognized pattern, a synthesized insight, and finally a constraint-aligned recipe. Each step is teachable in isolation; the flow scales beyond any one tool.

See also: Sunday Integration Hub, 3-Layer Method

Reality Filter

The constraint test the Protocol layer applies — the reason 90% of generic protocols fail and yours does not.

The Reality Filter is the rule that any protocol generated by Layer 03 must survive your actual life: travel, work, family, sleep window, current medications, GI tolerance. A protocol that ignores constraints is a fantasy. A protocol that respects them compounds.

See also: Protocol Layer (Layer 03)

AI Health Journal

The Wellness & AI synonym for the Ledger layer when described in plain user-facing language.

An AI Health Journal is what the Ledger layer looks like to a beginner: a chat thread where you log how you feel in plain language, and the AI re-reads weeks of it to surface what changed. It is the alternative to symptom-tracker apps that fragment your biology across separate products.

See also: Ledger Layer (Layer 02), AI Health Stack

Longevity Analytics

Applying the AI Health Stack to long-horizon biomarkers — labs, body composition, HRV, training load — over months and years.

Longevity Analytics is the AI Health Stack pointed at the slower variables: serial blood panels, body composition, sleep architecture, training load. The Ledger layer tracks the trend, the Research layer ranks interventions, the Protocol layer schedules the experiment. The horizon is years; the cadence is monthly.

See also: AI Health Stack, Ledger Layer (Layer 02)

These definitions are coined and maintained by Wellness & AI. If you cite them, please link back to this page.