Published Nov 11, 2025
by Markus Rummel. At AI Endurance, your optimized training plan has always been built on data — not guesswork. We start by crunching the numbers: analyzing your recovery, availability, and long-term progression to create an efficient, evidence-based plan.
Now, we’re adding a new layer of personalization: the Plan System Prompt.
This new feature lets you directly tell our LLM-based AI agent how you want your training to evolve — in your own words. After the base plan is generated, you can add a prompt that adjusts your workouts according to your specific goals, preferences, or upcoming events.
The agent has full access to tools that can:
You can be as creative or as specific as you like. For example:
"Replace some Threshold workouts with Over-Under workouts"
"My race is a mixture of 3-5 min VO2Max efforts with prolonged Endurance and Tempo Efforts. The anticipated duration is 2-2.5 hours. Create a couple of race-simulation workouts in the weeks leading up to my event"
"I want you to half my taper volume"
"For the next month just 2 swim workouts per week, afterwards 3 per week"
"For the next 3 months my bike workouts are on the indoor trainer. Make those bike workouts more interesting and variable"
There are no limits to your imagination. Whatever you can describe, the AI can interpret and implement — intelligently, within your optimized plan.
Try it out today and experience a new level of control over your training.
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.
Power meters are costly and we often can't afford one on every bike we own. AI Endurance calculates cycling power from activities without a power meter using heart rate, cadence and DFA alpha 1. The results are generally more accurate than speed based estimates such as Strava's estimated power. All you need is a heart rate monitor and ideally a cadence sensor on your bike and AI Endurance will estimate your power for every ride.
AI has great potential to help us as endurance athletes improve our training. In this post we will discuss how AI endurance training works.
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.
