We show you in a few simple steps how to connect Suunto Guides with your AI Endurance account. You can get live workout instructions that are optimized to you by our AI. You can also easily determine your training zones and thresholds via a simple ramp test that utilizes your heart rate variability (HRV) data.
Synchronisation between AI Endurance and Suunto is automatic: whenever you request a new plan or modify your workouts, we will automatically forward these changes to Suunto Guides.
We import your Suunto history so our AI can learn which training has worked best for you in the past. AI Endurance predicts your future performance if you stick to your plan. We regularly assess your progress and if necessary let the AI re-calculate your optimal plan for your Suunto Guides.
Connect your Suunto to AI Endurance: Go to your Suunto App profile -> Partner Services -> Connect AI Endurance
We automatically update your zones and thresholds from your in-activity HRV data using DFA a1. Your Suunto watch automatically records your HRV data if you wear a high quality heart rate strap such as the Suunto Smart Sensor.
If you want to assess your zones and thresholds right away you can perform a simple ramp test in Suunto Guides with only a few steps:
It is important for constructive training to have your training zones set correctly. AI Endurance takes out the guesswork by continuously monitoring your training zones. By utilizing the most recent research in HRV, we can set these parameters without the need of a physiology lab. You only need to wear a heart rate strap that records high quality HRV data.
AI Endurance has a built-in race pace predictor for your running and cycling performance. In this post, we discuss how you can use it to predict your pace for your next running race or your goal power for your next cycling event.
by Grant Paling. In his last blog post in a series of three, "I don’t really know how I’m doing," Grant reflects on self-assessment and personal growth, emphasizing the role of AI Endurance in setting realistic goals and predicting performance in triathlons.
by Stefano Andriolo. We demonstrate a universal relationship between cycling power and DFA alpha 1 from every day workout data that allows accessible and regular tracking of aerobic and anaerobic thresholds without the need of an exercise lab or even a dedicated testing protocol.
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.
