AI for strength training data

Sets and reps without context is just typing. AI is how your training log becomes a coach.

What we’re actually working with

Lifting apps (Hevy, Strong, Boostcamp) export sets, reps, RPE, and 1RM estimates. Most users never analyze it.

Why doing this without a method fails

Apps show graphs of weight per lift. They don't tell you 'you stalled because your sleep dropped 90 minutes the same week your volume jumped 30%.'

How the method handles strength training

Layer 01

Research

Have sourced AI summarise the actual evidence on volume landmarks (MEV/MAV/MRV), frequency, autoregulation, and deload timing.

Layer 02

Ledger

Export your training history. Let AI map volume per muscle, intensity, and progress across cycles.

Layer 03

Protocol

Design a 12-week block grounded in your real recovery capacity, not a generic template.

Three prompts you can use today

Paste any of these into the AI chat tool you already use. No setup.

Volume per muscle

Here are 6 months of training. Calculate weekly hard sets per muscle group and tell me where I'm under- or over-volumed relative to current research.

PR pattern

Across 2 years of squat 1RM history, find the training blocks that produced my biggest PRs and describe the volume/intensity pattern.

Deload decision

Based on the last 4 weeks of session RPE and bar-speed self-reports, do I need a deload or am I just having a rough week?

Common questions

Does it work for powerlifting / bodybuilding / hybrid?+

Yes — the prompts adapt to your goal.

Will AI write my program?+

It can — and the course teaches you to verify it against your own data, not trust blindly.

Does it integrate with Hevy / Strong / Boostcamp?+

Anything that exports CSV works.

Start with 10 free days.

The free 10-day email challenge teaches the same method on whatever data you already collect. No credit card.