StravaTrigger Automate: AI-Powered Fitness Coaching

This workflow is ideal for:

• Triathletes: Individuals training for triathlons looking for personalized coaching based on their Strava activity data.
• Fitness Coaches: Professionals wanting to provide data-driven insights to their clients based on activity metrics.
• Data Analysts: Those interested in analyzing fitness data to identify trends and areas for improvement.
• Health Enthusiasts: Individuals who want to optimize their fitness routines and receive motivational feedback.

This workflow addresses the challenge of providing personalized coaching for triathletes by analyzing their Strava activity data. It helps users:

• Understand their performance metrics in detail.
• Identify strengths and areas for improvement.
• Create actionable improvement plans based on their fitness level and goals.
• Stay motivated with tailored feedback and suggestions.

1. Strava Trigger: The workflow starts when a new activity is updated in Strava.
2. Code Node: It processes the incoming data to prepare it for analysis.
3. Combine Everything: Merges all relevant activity data into a single string format.
4. Fitness Coach: Analyzes the combined data and provides personalized coaching insights based on the user's recent activities and goals.
5. Structure Output: Organizes the feedback into structured sections for clarity.
6. Convert to HTML: Converts the structured data into an HTML format for easy reading.
7. Send Email: Sends the personalized coaching feedback via email to the user, keeping them informed and motivated.