Adjust resistance and programme on the machine automatically

Fitness equipment adjusts resistance and programme live to the person training

Needs setupAI Act: no extra obligationsRecommending & personalisingFitness & wellness

Fits: Health & care

The machine raises or lowers the resistance during the session to match heart rate, pace and power output, instead of rigidly following a programme. Beginners are not overstretched, experienced members are not underchallenged, and your trainers can see where someone needs support.

Is this for you?

  • You run or develop connected cardio or strength machines that measure heart rate, power output or repetitions and adjust resistance electronically.
  • There is a health questionnaire at sign-up, and trainers who set and check the rules for training load.
  • This is about fitness training for healthy people, not rehabilitation or therapy.
First step today

Write down an invented training session as a table, minute by minute with heart rate, pace and resistance, plus your rules for increasing and decreasing. Use the template below to check where the rules would have stepped in and where they contradict each other or are missing.

How to go about it

  1. Decide when the machine may adjust
  2. Bring together sensor data, member profiles and programmes
  3. Store the adjustment rules in the machine
  4. Compare against fixed programmes with a test group
  5. Activate it on all machines
  6. Check load and range

Templates to copy

Try it now
in the training
Analyse
in the training
Plan the rollout
in the training
Included in the training

The complete guide

  • 6 steps explaining exactly what to do
  • 3 proven templates to copy into your own AI
  • Safe use: data, checking, deciding, informing
  • Pitfalls, effort and how to recognise success

With the training you get all 430 guides for as long as your access runs.

See the trainingOne-off per person, no subscription

Same approach, other use cases

13 more use cases follow the pattern “Recommending & personalising”.

Adapt members’ training plans with AIDraft meal plans from preferences and goalsAdapt the difficulty level to how people playAnalyse skin photos and recommend care productsHave AI find similar products from a customer photoImprove shop search for typos and paraphrasesInvest customer money automatically by risk profilePut together complete outfits from your rangeRecommend personalised products and contentRecommend suitable tariffs based on consumptionRecommend the right size to customersSuggest training that matches skills gaps
‹ PreviousSee all use casesNext ›

FW-07 · Legal status 08.10.2026