
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.

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.

We recap the results of following AI Endurance’s cycling training plan that saw our FTP grow according to AI Endurance’s predictions, following the instructions on how to improve FTP.

by Markus Rummel. We present the first results of AI Endurance's new capability to calculate Respiration Frequency (RF) from in-activity heart rate variability (HRV) data. RF demonstrates its potential in assessing the validity of HRV threshold determination.