
Published Sep 22, 2023 · Updated Feb 14, 2026
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.
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:
You can find more information in the AI Endurance FAQ, the AI Endurance Forum, the AI Endurance Reddit, or the AI Endurance Facebook group.
An alternative way to gain insights from your AI Endurance data is the AI Endurance MCP or the AI Endurance GPT.

We explain how AI Endurance uses ChatGPT to help guide your triathlon, running and cycling training.

In this post, we give a short introduction to the running training zones and cycling training zones we use to structure your training. We use 5 training zones defined by pace for running activities and by power for cycling activities. AI Endurance calculates these zones for you individually based on your past training data.

by Markus Rummel. Respiration frequency (RF) is one of the more underused metrics in endurance training. Power, pace and heart rate usually dominate the conversation, but breathing rate adds something different. It responds quickly to changing workload, tracks perceived exertion well, and sits close to the physiology around ventilatory thresholds [1].

by Markus Rummel. DDFA (Dynamical Detrended Fluctuation Analysis) is a new method to analyze the changes in your HRV data during exercise. It is an evolution of the DFA analysis based on the research in [1, 2] used by AI Endurance.