Run Coach AI-personalized training AI

Example

A beginner aiming to complete their first 5K race receives a 12-week training schedule, detailing daily activities with specific distances and pacing guidelines, adjusted as the user progresses and provides feedback on their performance and well-being.

Scenario

A user provides their current fitness level, race goal, and availability for training. Run Coach AI uses this data to create a structured plan that evolves with the user's increasing fitness.

Example

During a training session, a user's wearable device records data such as heart rate, pace, and elevation. Run Coach AI analyzes this data in real-time to provide immediate feedback, such as suggesting pace adjustments or alerting the user to potential overexertion.

Scenario

A runner wears a GPS watch during workouts. Run Coach AI reviews this data to offer insights and adjustments directly after each session, ensuring optimal training load and recovery.

Example

When a user reports or the system detects signs of potential injury, such as changes in pace, stride, or increased heart rate at lower speeds, Run Coach AI suggests modifications to the training plan or rest periods to prevent worsening of the condition.

Scenario

A user experiences discomfort in their shins. The system adjusts their training plan to incorporate more low-impact activities like swimming or cycling and advises consulting a healthcare professional.