Lab trend brief
I'm pasting my last 5 years of standard blood panels (lipids, glucose, ALT/AST, ferritin, vitamin D, hsCRP). Find the trends, not just the latest values. Tell me which markers are quietly drifting and over what time horizon.
Most longevity content is sold to you. AI lets you do the reading yourself — and decide what's worth your time.
Longevity protocols mix lab biomarkers, training, sleep, nutrition, and a long list of supplements. Without filtering, it becomes a part-time job and a credit card.
Influencer protocols are theatrical and expensive. Generic AI advice is shallow. Neither knows your labs, your training history, or your goals.
Use sourced-search AI to read primary literature on the 5 levers that actually have human evidence (sleep, VO₂max, strength, metabolic health, social connection).
Build a 12-month rolling ledger of your labs, body composition, VO₂max estimate, and training. Let AI write the trend page your doctor will never make.
Run focused 12-week protocols against one biomarker at a time. AI scopes the test, the measurement, and the read-out.
Paste any of these into the AI chat tool you already use. No setup.
I'm pasting my last 5 years of standard blood panels (lipids, glucose, ALT/AST, ferritin, vitamin D, hsCRP). Find the trends, not just the latest values. Tell me which markers are quietly drifting and over what time horizon.
Design a 12-week protocol to raise my estimated VO₂max by 2–3 ml/kg/min. I currently train [X]. I have access to [running / bike / rower]. Define the sessions, the weekly load, and how I'll re-test.
Summarise the current evidence on [zone-2 training / time-restricted eating / creatine] for healthy-aging endpoints in adults 35–55. Be honest about effect size and confidence.
No. AI helps you read evidence and your own data. For interpretation and prescription, work with a clinician — and bring sharper questions.
Standard annual blood work is enough to start. Add specialised markers only when you have a specific question they answer.
Almost certainly not — it's their context, not yours. Use their work as a reading list, then build your own with AI's help.
Everything we’ve published that touches this topic — refreshed automatically as new entries ship.
Personal longevity analytics, without the dashboard
What longevity analytics really tracks, the four signals that compound, and why the right interface is a long-context AI — not another dashboard.
Three free chat tools, three different jobs
Perplexity for research, Gemini for ledger, ChatGPT for protocol. Why we picked these three, what each is uniquely good at, and what to swap if any of them changes.
What ChatGPT is good and bad at for mental health support — an honest framework.
An honest framework for using ChatGPT for mental health support: what it is genuinely good at, where it is dangerous, and a four-line script to keep a thread safe. Not therapy. Not nothing.
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.
The dual-lab interpretation pyramid
Stop choosing between conventional and functional medicine ranges. Read your labs through three lenses in order: clinical, functional, personal. The pyramid that prevents both panic and complacency.
When the model updates, your method shouldn't
Models will update, get deprecated, change tone, and get acquired. Your method shouldn't have to. Architectural rules for a HealthOS that outlives any single tool.
Automated Health Data Flow for a Busy Executive
A streamlined system for health data collection and analysis improved decision-making for a demanding schedule.
AI as a Mirror: Illuminating the Shape of Daily Habits for Better Sleep
A continuous glucose sensor and a reasoning chat tool revealed a 41-year-old’s specific sleep disruptors.
Bridging the Gap Between Movement and Pain Thresholds
A physiotherapist integrated visual analysis to refine client recovery protocols.
The sleep coach who stopped sending PDFs
A practitioner with a six-month waiting list freed her Tuesday evenings.
Spoken Reflection Improves Sleep Preparation
A busy professional used spoken journaling to untangle racing thoughts before bed, leading to more consistent rest.
Computer Vision Unlocks Deeper Nutrient Insights
A practitioner refines dietary recommendations by leveraging image analysis to quantify food intake with greater precision.
Longevity Analytics
Applying the AI Health Stack to long-horizon biomarkers — labs, body composition, HRV, training load — over months and years.
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.
Protocol Layer (Layer 03)
The conversational planning layer. Translates research + patterns into a livable plan.
Evidence Hierarchy
A simple ranking (RCT > meta-analysis > observational > expert opinion > anecdote) used inside every AI prompt in the 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.
AI for Training Load
Use AI to read your weekly training data and your recovery markers together — and stop wrecking yourself by accident.
AI for Stress
Your HRV, sleep, and resting HR already record your stress. AI helps you read them — and design a response that actually 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.
AI for Energy
Subjective energy is data. Combine it with sleep, HRV, training, and meals — and AI will show you what's actually making the difference.
The free 10-day email challenge teaches the same method on whatever data you already collect. No credit card.