Gear checklist for optimal data flow into AI Endurance

Gear checklist for optimal data flow into AI Endurance


AI Endurance is a data-driven training platform. In order to maximally benefit from the training and have the program be most personalized to you, you'll want the best possible data to flow into the platform. Here's a few recommendations on how to achieve this.

Activity heart rate and heart rate variability data

  • Use a chest strap heart rate monitor: Wrist based heart rate data is often highly inaccurate.
  • Use a high quality heart rate monitor: We recommend the Polar H10 heart rate monitor (HRM). While other HRMs can record decent heart rate data, this is the recommended choice to record reliable high quality heart rate variability data (HRV) during your activities. HRV data during your activities gives us important information about your thresholds, as well as readiness to train and durability metrics. Always connect your HRM via Bluetooth for best HRV data quality.
  • Enable HRV logging: For Garmin go to Settings -> System -> Data Recording -> Log HRV or Settings -> Physiological Metrics -> Log HRV. For Suunto HRV logging via a chest strap HRM is automatically enabled.

Overnight heart rate and heart rate variability data

With AI Endurance, you have the option to integrate overnight heart rate and HRV data into your training routine. We automatically monitor and adapt your training program via a personalized recovery based on your data. To get your overnight heart rate and HRV data into AI Endurance you have the following options:

  • Oura: Simply connect your Oura account to AI Endurance and Oura's heart rate and HRV data are automatically taken into account for your recovery model.
  • Garmin: If you have a Garmin watch that records overnight HRV make sure to wear your watch during the night. When you connect your AI Endurance to Garmin Download make sure you are sharing Daily Health Stats as well.
  • Suunto, Coros, Polar: Connect your Suunto/Coros/Polar account to AI Endurance.
  • Whoop: Connect your Whoop account to AI Endurance.
  • Others: currently indirectly if your HRV app connects to Intervals.icu. You can then connect your Intervals.icu account to AI Endurance.
  • Manually: you can also enter your overnight HRV and resting HR in our daily check in in your AI Endurance dashboard.

Cycling power data

  • Use a consistent power source: if you are using multiple power meters and/or smart trainers, make sure their readings don't vary significantly relative to each other. If they do, try to use consistent power readings as much as possible. You can also exclude periods of say a wrongly calibrated power meter via the 'Data Exclusion' feature in the AI Endurance dashboard.
  • For bike rides without power data, make sure to wear a heart rate monitor and ideally a cadence sensor so we can estimate your power from these metrics.

Run pace data

  • Use a state of the art GPS watch that records accurate pace and elevation data.

Running power data

  • Use a consistent power source. This could be either watch native or Stryd running power. Even more than with cycling power, we recommend you consistently use one power source. Different manufacturers have different algorithms for calculating running power so the power values can have significant offset.

You can find more information in the AI Endurance FAQ, in the AI Endurance Reddit, or in the AI Endurance user's Facebook group.

An alternative way to gain insights from your AI Endurance data is the AI Endurance GPT.

Share on:

More Blog Posts


DFA alpha 1 HRV based (an)aerobic threshold estimation

DFA alpha 1 HRV based (an)aerobic threshold estimation

DFA (detrended fluctuation analysis) alpha 1 is an HRV (heart rate variability) based aerobic and anaerobic threshold estimation method. It only requires a heart rate monitor that tracks HRV data. It has the potential to track your thresholds automatically without dedicated test workouts.

New readiness to train and durability HRV metrics

New readiness to train and durability HRV metrics

Daily readiness to train is affected by many factors including sleep, illness and training load. Heart rate variability (HRV) readiness to train metrics typically rely on measurements taken immediately upon waking in the morning. We introduce an HRV readiness to train and a durability metric based on DFA alpha 1 (a1) measurements taken during exercise. These new metrics provide additional insights and do not require you to measure HRV upon waking.

How to Use the AI Endurance Cycling Training Plan

How to Use the AI Endurance Cycling Training Plan

In this post, we explain how to use AI Endurance’s cycling training plan that we generated for Paris to Ancaster, Canada’s biggest gravel racing event. The plan includes detailed workout instructions. For indoor cycling, we show how to use AI Endurance with Trainerroad and Zwift.

How to use Zwift custom workouts to grow your FTP

How to use Zwift custom workouts to grow your FTP

Use Zwift custom workouts to grow your FTP with a data-driven, personalized Zwift custom training plan from AI Endurance.