Multi-signal weekly view
I have 12 weeks of training (sport, duration, RPE), morning HRV, RHR, and sleep. Build me a week-by-week summary that combines internal load and recovery, and flag any week where load went up while recovery dropped.
AI for training load
Strain without recovery is just damage. AI helps you see the balance week by week.
What we’re actually working with
Training load — minutes, intensity, type — interacts with your sleep, HRV, RHR, and life stress. Looking at one in isolation is what gets people hurt.
Why doing this without a method fails
Most training apps give you a single 'load' number. They don't know if you slept 5 hours, if you're sick, or if life stress is high. The number lies often.
The 3-Layer treatment
How the method handles training load
Layer 01
Research
Get a clear-eyed brief on what we actually know about training load metrics (acute:chronic ratio, TSS, internal vs. external load) and where the evidence is thin.
Layer 02
Ledger
Combine 12 weeks of training (type, duration, RPE) with sleep, HRV, and RHR. Let AI build the multi-signal weekly view your apps can't.
Layer 03
Protocol
Test a structured deload week. Use AI to define the baseline, the comparison, and what 'better' looks like with your own data.
Three prompts you can use today
Paste any of these into the AI chat tool you already use. No setup.
Deload protocol
Design a 1-week deload after a heavy block. Define what I should reduce, what I should keep, and how I'll know — with my data — whether the deload actually worked.
Sick / under-recovered rules
Help me write a simple personal rule for when I should not train hard, based on my morning HRV, RHR, and a 1–10 subjective score. I want a one-page protocol I'll actually follow.
Common questions
Is this for athletes only?+
No. Anyone training 3+ times a week benefits from a load-vs-recovery view. The math is the same; the volumes differ.
Do I need TrainingPeaks or similar?+
Useful, but not required. A simple weekly log with type, duration, and RPE is enough for AI to do real work.
Will AI write my training plan?+
It can draft one. We don't recommend handing your training to AI without a coach for serious goals — but for self-directed athletes it's a powerful sparring partner.
More on training load
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
Bridging the Gap Between Movement and Pain Thresholds
A physiotherapist integrated visual analysis to refine client recovery protocols.
The marathoner who stopped arguing with his watch
A 38-year-old endurance amateur learned to read recovery instead of beating it.
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.
The peptide protocol that honestly failed
An athlete ran a 10-week BPC-157 trial against a clean baseline — and let the data say it didn't move.
The GLP-1 ledger that replaced the brand app
A user on semaglutide stopped staring at the scale and built one private sheet across weight, dose, protein, training, and side effects.
Related topics
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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.
Start with 10 free days.
The free 10-day email challenge teaches the same method on whatever data you already collect. No credit card.