Ai fitness coach Strava data analysis and personalized training insights
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 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. Scalability: Ideal for individual athletes or coaches managing multiple athletes. Can be expanded to include additional metrics or insights based on user preferences. Performance Metrics Handled: Swimming: SWOLF, stroke count, pace. Cycling: Cadence, power zones, elevation. Running: Pacing, stride length, heart rate zones. --- Implementation Steps Set Up Strava API Key: Log in to Strava Developers to generate your API key. Integrate the API key into the Strava Trigger node. Configure Google Gemini Integration: Use your Google Gemini (PaLM) API credentials in the Google Gemini Chat Model node. Customize Email and WhatsApp Messaging: Update the Send Email and WhatsApp Business Cloud nodes with the recipient’s details. Automate Execution: Deploy the workflow and use n8n's scheduling features or cron jobs for periodic execution. --- GET n8n Now N8N COURSE n8n Book Developer Notes Author: Amjid Ali improvements. Resources: See in Action: Syncbricks Youtube PayPal: Support the Developer Courses : SyncBricks LMS By using this workflow, triathletes and coaches can elevate training to the next level with AI-powered insights and actionable recommendations.
By Amjid AliAutomate multi-platform social media lookup from Google Sheets with Gemini AI
📌 Who’s it for This template is designed for campaigners, researchers, and organizers who need to enrich spreadsheets of contacts with publicly available social media profiles. Ideal for advocacy campaigns, outreach, or digital organizing where fast, scalable people lookup is needed. ⚙️ What it does This workflow scans a Google Sheet for rows marked as unanalysed ("Analysed?" = false), sends each contact to a dedicated AI-powered research agent, and returns structured public profile links across major platforms like: Twitter/X LinkedIn Facebook Instagram GitHub TikTok YouTube Reddit Threads Medium Substack And more (18+ total) It processes one contact per run for clarity and stability, appending the results back to the original Google Sheet. 🛠️ How to set it up Copy the Google Sheet template → This sheet includes sample columns and headers for contacts and social profile fields. Paste your contact list at the end of the sheet. For each new contact, make sure the "Analysed?" column is set to false. Clone this workflow and the AI Research Agent subworkflow. Connect your Google Sheets account in n8n. Update the workflow with your sheet ID and sheet name (Sheet1 by default). Trigger the workflow on a schedule (e.g. every 15 minutes) or run it manually. ✅ Requirements Google Sheets integration set up in n8n Access to this AI research subworkflow OpenRouter API key n8n (self-hosted or cloud) 🧩 How to customize the workflow Modify the research agent to prioritize specific platforms or return only verified profiles. Add more profile columns to the Google Sheet and schema to match your custom fields. Add logic to send alerts (email, Slack, etc.) for specific contacts. Use an n8n webhook instead of a schedule to run the process on demand. Use a loop over all items to process all rows sequentially (only recommended for small datasets due to memory constraints)
By Open PawsAutomate ABM research to outreach with Octave, AI, and Instantly.ai
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Complete account-based outreach automation with Octave context engine Who is this for? Revenue teams, account-based marketing professionals, and growth operators who want a complete, automated pipeline from account identification to contextualized outreach. Built for teams ready to move beyond fragmented point solutions to an integrated, context-aware GTM engine. What problem does this solve? Most GTM teams are flying blind with disconnected tools that can't talk to each other. You qualify accounts in one system, find contacts in another, research context manually, then hope your email sequences land. Each step loses context, and by the time you're writing outreach, you've forgotten why the account was qualified in the first place. Octave centralizes all this typically fragmented context - your ICP definitions, personas, value propositions, and business logic - so every agent operation can act on the same unified understanding of your market. This workflow demonstrates how Octave's agents work together seamlessly because they all share the same context foundation. What this workflow does Complete Account-to-Outreach Pipeline: This workflow demonstrates the full power of Octave's context engine by connecting multiple agent operations in a seamless flow. Unlike traditional tools that lose context at each handoff, Octave centralizes your business context - ICP definitions, personas, value propositions, competitive positioning - so every agent operates from the same unified understanding of your market. External Context Research: Gathers real-time external data about target accounts (job postings, news, funding, etc.) Processes this information to create runtime context for later use in outreach Establishes the "why reach out now" foundation for the entire workflow Company-Level Qualification: Uses Octave's company qualification to assess account fit against your specific offering Leverages Product and Segment-level fit criteria defined in your Library Filters out accounts that don't meet your qualification thresholds Ensures only high-potential accounts proceed through the workflow Intelligent Contact Discovery: Runs Octave's prospector agent on qualified accounts Finds relevant stakeholders based on responsibilities and business context, not just job titles Discovers multiple contacts per account for comprehensive coverage Maintains qualification context when identifying the right people Runtime Context Integration: Takes the external context gathered at the beginning and injects it into sequence generation Creates truly dynamic, timely outreach that references current company events Generates sequences that feel impossibly relevant and well-researched Multi-Contact Sequence Generation: Splits discovered contacts into individual records for processing Generates contextualized email sequences for each contact Maintains account-level context while creating contact-specific messaging Produces sequences (1-7 emails) that feel unmistakably meant for each person Automated Campaign Deployment: Automatically adds all qualified contacts with their contextualized sequences to email campaigns Maps dynamic content to campaign variables for seamless execution Maintains the context chain from qualification through delivery Setup Required Credentials: Octave API key and workspace access External data source API (job boards, news APIs, enrichment services, etc.) Email platform API key (Instantly.ai configured, easily adaptable) Optional: LLM credentials if using the example external research agent Step-by-Step Configuration: Set up Account Input Source: Replace your-webhook-path-here with a unique, secure path Configure your account source (CRM, website visitors, target lists) to send company data Ensure account data includes company name and domain for processing Configure External Context Research: Replace the example AI agent with your preferred external data source Set up connections to job boards, news APIs, or enrichment services Configure context gathering to find timely, relevant information about target accounts Set up Company Qualification Agent: Add your Octave API credentials Replace your-octave-company-qualification-agent-id with your actual agent ID Configure qualification criteria at Product and Segment levels in your Octave Library Configure Prospector Agent: Replace your-octave-prospector-agent-id with your actual prospector agent ID Define target personas and stakeholder types in your Octave Library Set contact discovery parameters for optimal coverage Set up Sequence Agent: Replace your-octave-sequence-agent-id with your actual sequence agent ID Configure runtime context integration for dynamic content Test sequence quality with the external context integration Configure Email Campaign Platform: Add your email platform API credentials Replace your-campaign-id-here with your actual campaign ID Ensure campaign supports custom variables for dynamic content Required Webhook Payload Format: json { "body": { "companyName": "InnovateTech Solutions", "companyDomain": "innovatetech.com" } } How to customize External Context Sources: Replace the example research with your data sources: Job Board APIs: Reference current hiring and team expansion News APIs: Mention funding, product launches, or market expansion Enrichment Services: Pull technology adoption, market changes, or competitive moves Social Monitoring: Reference recent company posts or industry discussions Company Qualification: Configure qualification in your Octave company qualification agent: Product Level: Define "good fit" and "bad fit" questions for your core offering Segment Level: Set criteria for different market segments or use cases Qualification Thresholds: Adjust the filter score based on your standards Contact Discovery: Customize prospecting in your Octave prospector agent: Target Personas: Define which Library personas to prioritize Organizational Levels: Focus on specific seniority levels or decision-making authority Contact Volume: Adjust how many contacts to discover per qualified account Runtime Context Integration: Configure dynamic content injection: Context Definition: Specify what external data represents in your sequences Usage Instructions: Define how to incorporate context into messaging Email-Level Control: Apply different context to different emails in sequences Sequence Generation: Customize email creation: Core Context (Library): Define personas, use cases, and offering definitions Strategy (Playbooks): Configure messaging frameworks and value propositions Writing Style (Agent): Adjust tone, voice, and communication approach Campaign Integration: Adapt for different email platforms: Update API endpoints and authentication for your preferred platform Modify variable mapping for platform-specific requirements Adjust sequence formatting and length based on platform capabilities Use Cases Complete inbound lead processing from website visitor to qualified outreach Event-triggered account processing for funding announcements or hiring spikes Competitive displacement campaigns with account qualification and contact discovery Market expansion automation for entering new territories or segments Product launch outreach with context-aware targeting and messaging Customer expansion workflows for upselling within existing account bases
By Nalin