This n8n workflow automates the process of analyzing a triathlete’s activity data from Strava, generating personalized coaching insights, and communicating feedback through email or WhatsApp. It begins with a Strava trigger that activates upon activity updates, capturing detailed performance metrics such as distance, pace, heart rate, and elevation.
The workflow then consolidates all activity data into a structured format, transforming it into readable HTML. A core component is an AI-powered triathlon coach, which analyzes the athlete’s performance across swimming, cycling, and running. The coach provides tailored recommendations, motivational notes, and corrective advice based on the metrics and activity type, helping athletes optimize their training.
Post-analysis, the feedback is formatted into a user-friendly report and sent via email or WhatsApp, ensuring timely and personalized communication. Additional notes and support links are included for motivation and community engagement.
This workflow is ideal for coaches or athletes who want to automate detailed performance analysis, gain actionable insights, and stay motivated through instant, personalized feedback. It’s particularly useful during training cycles leading up to events or for ongoing performance tracking.
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