I know WHOOP Coach uses AI but how does that work exactly?
There’s a really great article here that speaks to how WHOOP Coach Works.
Here are a few of the notes from the article that are relevant to your question: WHOOP Coach delivers personalized insights by leveraging the detailed physiological data collected through WHOOP’s machine learning algorithms. This includes information related to sleep, strain, recovery, workouts, heart rate variability (HRV), and stress. These systems process raw biometric signals to surface meaningful health metrics—like identifying sleep stages, tracking heart rate during activity, and detecting when you fall asleep or wake up.
When you ask WHOOP Coach a question, it:
- Determines the key topic and timeframe based on your input
- Gathers relevant personal data from your WHOOP history
- Adds context such as behavior and journal inputs that may affect your results
- Analyzes your data in relation to WHOOP’s internal performance research
- Removes any personally identifiable information before sending the query to a large language model (LLM)
- Then re-personalizes the response and links to relevant features or educational content in the app
The result is a fast, data-rich answer—typically delivered in under three seconds—tailored to help you better understand your health and performance.