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Ai fitness coach Strava data analysis and personalized training insights

Amjid AliAmjid Ali
12376 views
2/3/2026
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Detailed Title

"Triathlon Coach AI Workflow: Strava Data Analysis and Personalized Training Insights using n8n"

Description

This n8n workflow enables you to build an AI-driven virtual triathlon coach that seamlessly integrates with Strava to analyze activity data and provide athletes with actionable training insights. The workflow processes data from activities like swimming, cycling, and running, delivers personalized feedback, and sends motivational and performance improvement advice via email or WhatsApp.

Workflow Details

Trigger: Strava Activity Updates

  • Node: Strava Trigger
  • Purpose: Captures updates from Strava whenever an activity is recorded or modified. The data includes metrics like distance, pace, elevation, heart rate, and more.
  • Integration: Uses Strava API for real-time synchronization.

Step 1: Data Preprocessing

  • Node: Code
  • Purpose: Combines and flattens the raw Strava activity data into a structured format for easier processing in subsequent nodes.
  • Logic: A recursive function flattens JSON input to create a clean and readable structure.

Step 2: AI Analysis with Google Gemini

  • Node: Google Gemini Chat Model
  • Purpose: Leverages Google Gemini's advanced language model to analyze the activity data.
  • Functionality:
    • Identifies key performance metrics.
    • Provides feedback and insights specific to the type of activity (e.g., running, swimming, or cycling).
    • Offers tailored recommendations and motivational advice.

Step 3: Generate Structured Output

  • Node: Structure Output
  • Purpose: Processes the AI-generated response to create a structured format, such as headings, paragraphs, and bullet lists.
  • Output: Formats the response for clear communication.

Step 4: Convert to HTML

  • Node: Convert to HTML
  • Purpose: Converts the structured output into an HTML format suitable for email or other presentation methods.
  • Output: Ensures the response is visually appealing and easy to understand.

Step 5: Send Email with Training Insights

  • Node: Send Email
  • Purpose: Sends a detailed email to the athlete with performance insights, training recommendations, and motivational messages.
  • Integration: Utilizes Gmail or SMTP for secure and efficient email delivery.

Optional Step: WhatsApp Notifications

  • Node: WhatsApp Business Cloud
  • Purpose: Sends a summary of the activity analysis and key recommendations via WhatsApp for instant access.
  • Integration: Connects to WhatsApp Business Cloud for automated messaging.

Additional Notes

  1. Customization:

    • You can modify the AI prompt to adapt the recommendations to the athlete's specific goals or fitness levels.
    • The workflow is flexible and can accommodate additional nodes for more advanced analysis or output formats.

  2. Scalability:

    • Ideal for individual athletes or coaches managing multiple athletes.
    • Can be expanded to include additional metrics or insights based on user preferences.

  3. Performance Metrics Handled:

    • Swimming: SWOLF, stroke count, pace.
    • Cycling: Cadence, power zones, elevation.
    • Running: Pacing, stride length, heart rate zones.

Implementation Steps

  1. Set Up Strava API Key:

    • Log in to Strava Developers to generate your API key.
    • Integrate the API key into the Strava Trigger node.

  2. Configure Google Gemini Integration:

    • Use your Google Gemini (PaLM) API credentials in the Google Gemini Chat Model node.

  3. Customize Email and WhatsApp Messaging:

    • Update the Send Email and WhatsApp Business Cloud nodes with the recipient’s details.

  4. Automate Execution:

    • Deploy the workflow and use n8n's scheduling features or cron jobs for periodic execution.

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Developer Notes

By using this workflow, triathletes and coaches can elevate training to the next level with AI-powered insights and actionable recommendations.

n8n AI Fitness Coach: Strava Data Analysis and Personalized Training Insights

This n8n workflow leverages AI to analyze Strava activity data and generate personalized fitness insights and training recommendations. It acts as a virtual fitness coach, delivering tailored advice directly to users via email or WhatsApp.

What it does

This workflow automates the following steps:

  1. Monitors Strava Activities: It triggers whenever a new activity is recorded on Strava.
  2. Processes Activity Data: It takes the raw Strava activity data as input.
  3. Analyzes with AI: An AI Agent (powered by Google Gemini Chat Model) processes the Strava data to understand the activity, identify patterns, and generate insights.
  4. Generates Personalized Advice: Based on the AI analysis, it creates personalized training insights, performance summaries, and recommendations.
  5. Delivers Insights: The generated insights can be sent to the user via:
    • Email: Using the "Send Email" node, it can send a detailed email.
    • WhatsApp: Using the "WhatsApp Business Cloud" node, it can send concise messages.
    • Gmail: The "Gmail" node is also available, potentially for sending emails or interacting with Gmail.
  6. Custom Logic (Optional): A "Code" node is included, allowing for custom JavaScript logic to further process data or format output before delivery.
  7. Documentation/Notes: A "Sticky Note" is present, likely for workflow documentation or temporary notes.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Strava Account: An active Strava account connected via an n8n Strava credential.
  • Google Gemini API Key: Access to the Google Gemini API for the "Google Gemini Chat Model" node.
  • Email Service (SMTP): An SMTP server configured for the "Send Email" node, or a Gmail account for the "Gmail" node.
  • WhatsApp Business Account (Optional): If using WhatsApp, a WhatsApp Business Cloud account and associated n8n credential.

Setup/Usage

  1. Import the Workflow: Download the JSON provided and import it into your n8n instance.
  2. Configure Credentials:
    • Strava: Set up your Strava OAuth2 credential.
    • Google Gemini: Configure your Google Gemini API key credential for the "Google Gemini Chat Model" node.
    • Email: Set up your SMTP or Gmail credential for the "Send Email" and/or "Gmail" nodes.
    • WhatsApp (Optional): Configure your WhatsApp Business Cloud credential if you plan to use this delivery method.
  3. Customize AI Agent:
    • Open the "AI Agent" node and ensure the prompt and tools are configured to your specific fitness analysis requirements. You might want to define what kind of insights you expect (e.g., pace analysis, recovery recommendations, training zone feedback).
    • Verify the "Google Gemini Chat Model" is correctly linked and configured within the AI Agent.
  4. Customize Output:
    • Code Node: Modify the "Code" node if you need to transform the AI-generated insights into a specific format before sending.
    • Email/WhatsApp Nodes: Configure the "Send Email", "Gmail", or "WhatsApp Business Cloud" nodes with the recipient's information and the desired message content, pulling data from the preceding AI Agent and Code nodes.
  5. Activate the Workflow: Once all credentials and configurations are set, activate the workflow. It will now automatically trigger upon new Strava activities.

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