FTP history
Here are 4 years of FTP test results plus weekly TSS. Find the training pattern that produced my biggest FTP gains.
AI for cycling performance data
Cycling produces the cleanest performance data in sport. AI is how you finally use all of it.
What we’re actually working with
Power-meter data (FTP, TSS, IF, NP), HR, and HRV across multiple seasons — usually fragmented across Strava, TrainingPeaks, and Garmin.
Why doing this without a method fails
FTP tests come and go. Most riders never read why their best season was their best.
The 3-Layer treatment
How the method handles cycling
Layer 01
Research
Have sourced AI summarise current evidence on polarized vs threshold training, recovery, and durability.
Layer 02
Ledger
Combine multi-year power, HR, and HRV exports. AI finds the patterns behind your best blocks.
Layer 03
Protocol
Build a focused 12-week block grounded in your own response to volume and intensity.
Three prompts you can use today
Paste any of these into the AI chat tool you already use. No setup.
Durability check
Across 12 weeks of long rides, calculate fatigue resistance (power drop after 2h vs fresh) and tell me whether it's improving.
Race build
Design a 10-week build to a target gran fondo using my real CTL/ATL/TSB pattern, not a generic plan.
Common questions
Does it work without a power meter?+
Yes — HR and pace data work too, with the limits the course explains.
Can I use it with TrainingPeaks?+
Yes. The course shows the exact export.
Will it write my season?+
It can draft one. You verify against your own history.
More on cycling
Everything we’ve published that touches this topic — refreshed automatically as new entries ship.
From the blog
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.
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.
Case studies
Computer Vision Unlocks Deeper Nutrient Insights
A practitioner refines dietary recommendations by leveraging image analysis to quantify food intake with greater precision.
Automated Health Data Flow for a Busy Executive
A streamlined system for health data collection and analysis improved decision-making for a demanding schedule.
Bridging the Gap Between Movement and Pain Thresholds
A physiotherapist integrated visual analysis to refine client recovery protocols.
Related topics
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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 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.