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Personal Health & Longevity

Peer-reviewed protocols for living long and well
By Anthony Conti, Astra AI, LLCReleased: Sources last verified:
The Personal Health & Longevity Knowledge Pack is a curated, source-cited set of 4 documents that installs directly into your MIND knowledge graph in one click, so your AI starts every conversation already grounded in real research instead of a blank page.
The canonical health-and-longevity protocols from Peter Attia, Andrew Huberman, Bryan Johnson, and Layne Norton. Sleep, training, nutrition, biomarker targets, and the science behind each — distilled so your MIND can answer 'what should I do today?' with grounded advice.
4 documents · sourced from Peter Attia MD · Andrew Huberman PhD · Layne Norton PhD · Mandsager et al · version v1.0 · released 2026-05-25
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Why source-backed matters

Every document here carries a named, checkable source — a book, a paper, an essay, a peer-reviewed study — instead of an AI-generated summary with no origin. That matters twice over: you can go verify anything that sounds surprising, and your MIND starts with facts that were true before any model touched them, not a synthesis that quietly drifts from the original the more times it gets summarized. It's the same standard this whole site holds itself to.

What’s inside

Peter Attia — Medicine 3.0 Framework

Peter Attia MD, Outlive: The Science and Art of Longevity (2023)

Attia's Medicine 3.0 reframes longevity from reactive disease treatment (Medicine 2.0) to proactive prevention of the Four Horsemen of late-life death: cardiovascular disease, cancer, neurodegenerative disease, and metabolic dysfunction. The framework rests on two metrics: lifespan (years alive) and healthspan (years alive in good function). The leverage points: (1) exercise — strength + zone 2 cardio + VO2 max work, weekly; this is the single most powerful intervention. (2) Sleep — 7-9 hours, prioritized, non-negotiable. (3) Nutrition — protein adequacy (1g/lb body weight) > most other interventions; minimize processed food; time-restricted eating optional. (4) Emotional health — explicitly named as the fifth horseman; loneliness and chronic stress kill on the same timescale as smoking. (5) Pharmacology — Rapamycin, Metformin, statins in selected cases under medical supervision. Attia's framework treats the 80-year-old version of you as the client: every decision today is a deposit into their account.

Andrew Huberman — The Sleep + Light Stack

Andrew Huberman PhD, Huberman Lab Podcast (Stanford School of Medicine)

Huberman's morning protocol — the single highest-impact daily routine for cognitive and metabolic health: (1) Within 30 minutes of waking, get 5-10 minutes of direct sunlight (cloudy day: 10-20 minutes). This anchors circadian rhythm and triggers cortisol release at the right time. (2) Delay caffeine 90-120 minutes after waking to avoid adenosine rebound and afternoon crash. (3) Eat the largest meal in the first half of the day; metabolism peaks in the morning. (4) View low-angle sunset/sunrise light again in the evening to anchor the other end of the circadian rhythm. (5) Avoid bright artificial light between 10pm and 4am — this is when melatonin should rise; bright light suppresses it and damages sleep architecture. (6) Cool the bedroom (65-67°F) for deep sleep. Huberman: 'Sleep is the foundation of mental health, physical health, and performance. Most other interventions are noise compared to fixing sleep.' Single tool with the highest ROI: morning sunlight, daily, no exceptions.

Layne Norton — Protein, Calories, Adherence (in that order)

Layne Norton PhD, BioLayne research summaries + peer-reviewed nutrition science

Norton's nutrition hierarchy strips away the noise. The variables that matter, ranked by evidence: (1) Energy balance — calories in vs. out — determines whether you gain or lose weight; no exception. (2) Protein intake — 0.7-1.0 g per pound bodyweight per day for muscle retention during a deficit and growth during a surplus. (3) Fiber + micronutrients — get them from whole foods, but supplementation is fine if needed. (4) Meal timing and frequency — distantly relevant; pick what supports adherence. (5) Food choice — whatever lets you adhere to (1)-(3) sustainably. What does NOT matter: 'metabolic damage', most superfoods, the carb-vs-fat war, fasting windows, organic vs conventional, gluten (unless celiac). Norton's core insight: adherence beats optimization. A 'perfect' diet you can't maintain loses to a 'good enough' diet you follow for 10 years. For founders specifically: high-protein, whole-food, calorie-aware, flexible — minimal cognitive load.

VO2 Max — The Single Best Mortality Predictor

Mandsager et al, JAMA Network Open 2018; Attia podcast #217 with Mike Joyner

VO2 max (maximal oxygen consumption) is the strongest single predictor of all-cause mortality — stronger than smoking status, hypertension, or diabetes. The JAMA 2018 paper followed 122,007 patients: those in the bottom 25% of VO2 max had a 5x higher mortality rate than those in the top 25%. The dose-response is linear all the way to elite levels. Translated to action: get a baseline VO2 max test (treadmill or fingertip device), then train. The training protocol with most evidence: (1) 'Zone 2' steady-state cardio, 3-4 hours per week — pace where you can hold a conversation but it's effortful. Builds the mitochondrial base. (2) Once per week, a VO2-max-specific session: 4×4 minute all-out intervals with 4-minute recoveries (Norwegian 4×4). (3) Strength training 2-3x per week for muscle mass — muscle is the organ of longevity per Attia. Target VO2 max: top 25% for your age and sex. For most non-athletes that means 35-50 ml/kg/min.

How installing a Knowledge Pack works

Every document in a Knowledge Pack ingests straight into your MIND knowledge graph — no copy-pasting, no manual tagging. MIND reads each summary, works out how it connects to what's already in your graph, and files it in as a properly linked node the moment you click install. From there, any AI that speaks the Model Context Protocol — Claude, ChatGPT, Gemini, Cursor, and 50+ other models — can read it, the same way it reads everything else in your MIND.
That's the difference between a Knowledge Pack and a PDF: a PDF sits in a folder until you remember to reopen it; a Knowledge Pack becomes part of what your AI already knows about the world, permanently, the moment it lands. See how MCP memory servers make that possible, or read about agent memory as its own category if you want the deeper mechanics.

Sources & further reading

Every document in this pack distills a named, checkable source — never an AI-generated summary with no origin. These are the primary works behind it, so you can go verify anything that sounds surprising:

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Document summaries are distilled by Astra AI, LLC from the primary sources cited above and were last checked against those sources on September 7, 2026. Features and product details for third parties change over time — check their own sites before relying on specifics.

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