Workflow Templates

This workflow will trigger daily at 6am to retrieve your day's calendar events from Google Calendar and send them as a summary message to Slack. I've used a low-code method to filter the dates as I can't code much in JSON :) Contact me on https://twitter.com/sami_abid if you have any questions!

CallForge - AI-Powered Marketing Insights Extraction from Sales Calls Automate marketing intelligence gathering from AI-analyzed sales calls and store insights in Notion. 🎯 Who is This For? This workflow is designed for: ✅ Marketing teams looking to extract trends and insights from sales conversations. ✅ Product managers who need direct customer feedback from sales calls. ✅ Revenue operations (RevOps) teams optimizing AI-driven call analysis. It streamlines AI-powered marketing intelligence, identifying customer pain points, competitor mentions, and recurring trends—all automatically stored in Notion. 🔍 What Problem Does This Workflow Solve? Manually reviewing sales call transcripts for marketing insights is time-consuming and inconsistent. With CallForge, you can: ✔ Extract key marketing insights from AI-analyzed sales calls. ✔ Track recurring discussion topics across multiple conversations. ✔ Generate actionable marketing recommendations for strategy and content. ✔ Store structured insights in Notion for seamless access. This automation eliminates manual work and ensures marketing teams get data-driven insights from real customer conversations. 📌 Key Features & Workflow Steps 🎙️ AI-Driven Marketing Insights Processing This workflow processes AI-generated sales call insights and organizes them in Notion databases: Triggers when AI sales call data is received. Identifies marketing-related data (trends, customer pain points, competitor mentions). Extracts key marketing insights, categorizing product discussions and recurring topics. Logs trends across multiple calls, ensuring marketing teams spot recurring themes. Processes actionable insights, capturing marketing strategy recommendations. Stores all findings in Notion, enabling structured, searchable insights. 📊 Notion Database Integration Marketing Insights** → Logs key trends and product mentions from sales calls. Recurring Topics** → Tracks frequently discussed themes across calls. Actionable Recommendations** → Stores AI-generated recommendations for marketing teams. 🛠 How to Set Up This Workflow 1. Prepare Your AI Call Analysis Data Ensure AI-generated sales call insights are available. Compatible with Gong, Fireflies.ai, Otter.ai, and other AI transcription tools. 2. Connect Your Notion Database Set up Notion databases for: 🔹 Marketing Insights (logs trends and product mentions) 🔹 Recurring Topics (tracks frequently discussed customer concerns) 🔹 Actionable Recommendations (stores marketing strategy insights) 3. Configure n8n API Integrations Connect your Notion API key** in n8n under “Notion API Credentials.” Set up webhook triggers** to receive AI-generated sales insights. Test the workflow** using a sample AI sales call analysis. 🔧 How to Customize This Workflow 💡 Modify Notion Data Structure – Adjust fields to match marketing strategy needs. 💡 Refine AI Data Processing Rules – Customize what insights are extracted and logged. 💡 Integrate with Slack or Email – Notify teams when key marketing trends emerge. 💡 Expand CRM Integration – Sync insights with HubSpot, Salesforce, or Pipedrive. CallForge - 01 - Filter Gong Calls Synced to Salesforce by Opportunity Stage CallForge - 02 - Prep Gong Calls with Sheets & Notion for AI Summarization CallForge - 03 - Gong Transcript Processor and Salesforce Enricher CallForge - 04 - AI Workflow for Gong.io Sales Calls CallForge - 05 - Gong.io Call Analysis with Azure AI & CRM Sync CallForge - 06 - Automate Sales Insights with Gong.io, Notion & AI CallForge - 07 - AI Marketing Data Processing with Gong & Notion CallForge - 08 - AI Product Insights from Sales Calls with Notion ⚙️ Key Nodes Used in This Workflow 🔹 If Nodes – Detect if marketing insights, recurring topics, or recommendations exist in AI data. 🔹 Notion Nodes – Create and update entries in Notion databases. 🔹 Split Out & Aggregate Nodes – Process multiple insights and consolidate AI-generated data. 🔹 Wait Nodes – Ensure smooth sequencing of API calls and database updates. 🚀 Why Use This Workflow? ✔ Eliminates manual sales call review for marketing teams. ✔ Provides structured, AI-driven insights for marketing and product strategy. ✔ Tracks competitor mentions and customer pain points automatically. ✔ Improves content marketing and campaign planning with real customer insights. ✔ Scalable for teams using n8n Cloud or self-hosted deployments. This workflow empowers marketing teams by transforming sales call data into actionable intelligence, streamlining strategy, content planning, and competitor analysis. 🚀

This workflow automatically follows the steps in a custom incident response playbook and manages incidents in PagerDuty, Jira tickets, and notifies the on-call team in Mattermost. This workflow consists of three sub-workflows, each automating specific steps in the playbook. Read more about this use case and learn how to set up the workflows step-by-step in the blog tutorial How to automate every step of an incident response workflow. Prerequisites A PagerDuty account and credentials A Mattermost account and credentials A Jira account and credentials Nodes Webhook nodes trigger the workflows when an incident is created in PagerDuty, and when the incidedent is acknowledged and resolved. Mattermost nodes create an auxiliary channel for the on-call team to discuss the incident with buttons to acknowledge the incident and mark it as resolved. PagerDuty nodes update the status of the incident. Jira nodes create an issue about the incident and update its status when it's resolved.

This workflow is the third of three. You can find the other workflkows here: Incident Response Workflow - Part 1 Incident Response Workflow - Part 2 Incident Response Workflow - Part 3 We have the following nodes in the workflow: Webhook node: This trigger node listens to the event when the Resolve button is clicked. PagerDuty node: This node changes the status of the incident report from Acknowledged to Resolved in PagerDuty. Jira Software node: This node moves the incident issue to Done. Mattermost node: This node publishes a message in the auxiliary channel mentioning that the incident has been marked as resolved in PagerDuty and Jira. Mattermost node: This node publishes a message in the specified Incidents channel that the incident has been resolved by the on-call team.

This workflow automates the process of sending voice calls for verification purposes and combines it with email verification. It uses the ClickSend API for voice calls and integrates with SMTP for email verification. This workflow is a powerful tool for automating phone and email verification, ensuring a seamless and secure user verification process. Below is a breakdown of the workflow: 1. How It Works The workflow is designed to verify a user's phone number and email address through a combination of voice calls and email verification. Here's how it works: Form Submission: The workflow starts with a Form Trigger node, where users submit a form with the following fields: To: The recipient's phone number (including the international prefix, e.g., +1xxxx). Voice: The voice type (male or female). Lang: The language for the voice call (e.g., en-us, it-it, fr-fr, etc.). Email: The recipient's email address. Name: The recipient's name. Set Voice Code: The Set Voice Code node defines the verification code that will be spoken during the voice call. Format Code for Voice: The Code for Voice node formats the verification code by adding spaces between characters for better clarity during the voice call. Send Voice Call: The call includes the verification code, which is read aloud to the recipient. Verify Voice Code: The Verify Voice Code node prompts the user to enter the code they received via the voice call. The Is Voice Code Correct? node checks if the entered code matches the predefined code. If correct, the workflow proceeds to email verification. If incorrect, the user is notified of the failure. Set Email Code: The Set Email Code node defines the verification code that will be sent via email. Send Email: The Send Email node sends an email to the recipient with the verification code using SMTP. Verify Email Code: The Verify Email Code node prompts the user to enter the code they received via email. The Is Email Code Correct? node checks if the entered code matches the predefined code. If correct, the user is notified of successful verification. If incorrect, the user is notified of the failure. 2. Set Up Steps To set up and use this workflow in n8n, follow these steps: ClickSend API Key: Create an account on ClickSend and obtain your API Key. In the Send Voice node, set up HTTP Basic Authentication: Username: Use the username you registered with on ClickSend. Password: Use the API Key provided by ClickSend. SMTP Configuration: Set up SMTP credentials in n8n for the Send Email node. Ensure the SMTP server is configured to send emails from the specified email address. Form Configuration: The Form Trigger node is pre-configured with fields for: To: The recipient's phone number. Voice: Choose between male or female voice. Lang: Select the language for the voice call. Email: The recipient's email address. Name: The recipient's name. Customize the form fields if needed. Set Verification Codes: In the Set Voice Code node, define the verification code that will be spoken during the voice call. In the Set Email Code node, define the verification code that will be sent via email. Test the Workflow: Submit the form with the required details (phone number, voice, language, email, and name). The workflow will: Send a voice call with the verification code. Prompt the user to verify the code. Send an email with the verification code. Prompt the user to verify the email code. Notify the user of success or failure. Need help customizing? Contact me for consulting and support or add me on Linkedin.

This telegram bot is designed to send one random recipe a day. This specific bot has filtered out only vegan recipes, so you can choose your diet type and send only recipes for a specific diet. What credentials you need: Set up a telegram bot. Airtable for listing who has joined your bot. This is needed to send one random recipe a day. Recipe (or other) API. This one uses Spoonacular. I hope you enjoy your bot!

This is the first of 4 workflows for a Mattermost Standup Bot. This workflow will create a default configuration file. You can set the default configuration in the Set node (Use Default Config) the values are: config.slashCmdToken - The token Mattermost provides when you make a new Slash Command config.mattermostBaseUrl - The base URL for your Mattermost instance config.botUserToken - The User token for your Mattermost bot config.n8nWebhookUrl - The URL for your "Action from MM" webhook in the "Standup Bot - Worker" workflow config.botUserId - The UserID for your Mattermost Bot user The config file is saved under /home/node/.n8n/standup-bot-config.json This workflow only needs to be run once manually as part of the setup .

This workflow automatically forwards incoming Gmail emails to a Telegram chat only if the email subject contains specific keywords (like "Urgent" or "Server Down"). The workflow extracts key details such as the sender, subject, and message body, and sends them as a formatted message to a specified Telegram chat. This is useful for real-time notifications, security alerts, or monitoring important emails directly from Telegram — filtering out unnecessary emails. Prerequisites: Before setting up the workflow, ensure the following: The Gmail API should be enabled. Create a bot using @BotFather and obtain the API key. Retrieve the telegram Chat ID (for personal messages or group messages). Set up OAuth2 for Gmail and use the Bot Token for Telegram. Customisation Options : Modify the subject keywords in the IF Node to change the filtering criteria. Customize how the email details appear in Telegram (bold subject, italic body, etc.). Extend the workflow to include email attachments in Telegram. Steps : Step 1: Gmail Trigger Node (On Message Received) Select "Gmail Trigger" and add it to the workflow. Authenticate with your Google Account. Set Trigger Event to "Message Received". (Optional) Add filters for specific senders, labels, or subjects. Click "Execute Node" to test the connection. Click "Save". Step 2: IF Node (Conditional Filtering) Add an "IF" Node after the Gmail Trigger. Configure the condition to check if the email subject contains specific keywords (e.g., "Urgent", "Server Down", "Alert"). If the condition is true, proceed to the next step. If false, you can stop or route it elsewhere (optional). Step 3: Telegram Node (Send Message Action) Click "Add Node" and search for Telegram. Select "Send Message" as the action. Authenticate using your Telegram Bot Token. Set the Chat ID (personal or group chat). Format the message using email details received from the email trigger node and set the message in text. Steps 4. Connect & Test the Workflow Link Gmail Trigger → if node → Telegram Send Message. Save and execute the workflow manually. Send a test email to your Gmail account. Verify if the email details appear in your Telegram chat. About the Creator, WeblineIndia This workflow is created by the Agentic business process automation developers at WeblineIndia. We build automation and AI-driven tools that make life easier for your team. If you’re looking to hire dedicated developers who can customize workflows around your business, we’re just a click away.

This workflow streamlines the process of creating events in Google Calendar using event data stored in a Google Sheet. The process begins by retrieving the latest event entry from Google Sheets, ensuring only the most recent event details are processed. Once fetched, a Function node formats the event date to align with Google Calendar's required format—ensuring consistency and preventing date-related errors. After formatting, the structured event details are sent to Google Calendar, where an event is created with essential information such as the event title (summary), description, date, and location. Additionally, the workflow allows customization by setting the event's status as either "Busy" or "Available," helping attendees manage their schedules. A background color can also be assigned for better visibility and categorization. By automating this process, you eliminate the need for manual event creation, ensuring seamless synchronization between Google Sheets and Google Calendar. This improves efficiency, accuracy, and productivity, making event management effortless. Prerequisites : Before setting up this workflow, ensure the following: You have an active Google account connected to Google Sheets and Google Calendar. The Google Sheets API and Google Calendar API are enabled in the Google Cloud Console. n8n has the necessary OAuth2 authentication configured for both Google Sheets and Google Calendar. Your Google Sheet has columns for event details (event name, description, location, date, etc.). |Event Name|Event Description|Event Start Date|Location| |-|-|-|-| |Birthday|Celebration|27-Mar-1989|City| |Anniversary|Celebration|10-Jun-2015|City| Customization Options : Modify the Google Sheets trigger to track updates in specific columns. Adjust the data formatting function to support: Different date/time formats Time zone settings Custom event colors Attendee invitations Steps : Step 1: Add the Google Sheets Trigger Node Click "Add Node" and search for Google Sheets. Select "Google Sheets Trigger" and add it to the workflow. Authenticate using your Google account (select an existing account if already authenticated). Select the Spreadsheet and Sheet Name to monitor. Set the Trigger Event to "Row Added". Click "Execute Node" to test the connection. Click "Save". Step 2: Process Data with Function Node Click "Add Node" and search for Function. Add the Function Node and connect it to the Google Sheets Trigger Node. In the function editor, write a script to extract and format data. Ensure the required fields (title, location, date) are properly structured. Click "Execute Node" to verify the formatted output. Click "Save". Step 3: Add the Google Calendar Node Click "Add Node" and search for Google Calendar. Select "Create Event" operation. Authenticate with Google Calendar. Map the required fields Title Description Location Start time Optional: Set Event Status and Event Colors. Click "Execute Node" to test event creation. Click "Save". Step 4: Final Steps Connect all nodes in sequence (Google Sheets Trigger → Function Node → Google Calendar Node). Test the workflow by adding a sample row in Google Sheets. Verify that the event is created in Google Calendar with the correct title, description, date, and location. About WeblineIndia This workflow was built by the AI development team at WeblineIndia. We help businesses automate processes, reduce repetitive work, and scale faster. Need something custom? You can hire AI developers to build workflows tailored to your needs.

Tags: Productivity, Pomodoro, Organization Context Hey! I’m Samir, a Supply Chain Engineer and Data Scientist from Paris, founder of LogiGreen Consulting 🌱 A significant improvement in my productivity came from following the Pomodoro Technique. What is the Pomodoro Technique? The Pomodoro Technique is a time management method that breaks your workday into 25-minute focus intervals followed by short breaks. After 4 cycles, you take a longer break to recharge. It helps maintain concentration while preventing burnout. I’ve used this technique with web apps to receive break/work notifications. But I always wished I had a way to track my sessions for self-assessment. > Let’s use n8n to boost our productivity and log our deep work sessions automatically! 📬 For business inquiries, you can add me on Here Who Is This Template For? I built this workflow for creators, freelancers, students, and professionals who love the Pomodoro technique but want more than just timers — they want data. This template helps you: Track every deep work session automatically Store logs in Google Sheets for later analysis Stay in control via Telegram commands There is no need to pay for premium apps. It’s all free and powered by n8n. How Does It Work? This Telegram bot tracks your Pomodoro sessions and sends you alerts during the process. Here’s what happens: A user sends /start to the bot. It launches a 25-minute deep work timer. After 25 minutes, the bot sends a break reminder. After four cycles, a long break is triggered and the session is logged. The session is automatically recorded to Google Sheets with (Date & Time, User ID, Pomodoro count, Session ID, Duration of focus and breaks) What Gets Tracked? | Field | Description | |-------------------|--------------------------------------| | Date & Time | When the session was logged | | User ID | Your Telegram ID | | Block Type | Deep Work or Short Break | Pomodoro Count | Number of cycles completed | | Working Session ID | Unique ID for each session | | Focus Duration | Length of each deep work session | | Break Duration | Short or long break info | You can use this workflow as a base to bring additional features like: Connecting with tasks from Google Task Send automated productivity reports to monitor your activity Link a Pomodoro with a task using Google Calendar What Do I Need to Start? This workflow is beginner-friendly — no coding required. Google Drive API* and *Google Sheet API** credentials A Google Sheet set up to log sessions (with the columns of the table above) API Credentials: Google Sheets API (OAuth2) Telegram Bot Token Telegram app to chat with the bot > The template is plug-and-play. Just follow the sticky notes in the n8n editor to configure it. Next Steps Follow the sticky notes in the n8n workflow editor to: Set your credentials Connect your Google Sheet Initialize the static data Launch your first /start command on Telegram 🎥 Watch My Tutorial 🚀 Curious how n8n can supercharge productivity and learning skills?? 📬 Let’s connect on LinkedIn This workflow has been created with N8N 1.82.1 Submitted: March 24th, 2025

About The ICP Company Scoring Automation Sorting through lists of potential leads manually to determine who's truly worth your sales team's time isn't just tedious, it's incredibly inefficient. Without proper qualification, your team might spend hours pursuing prospects who aren't the right fit for your product, while ideal customers slip through the cracks. How to Automate Identifying Your Ideal Customers With this automation, you'll learn how to automatically score and prioritize leads using data extracted directly from LinkedIn profiles via Airtop's integration with n8n. By the end, you'll have a fully automated workflow that analyzes prospects and calculates an Ideal Customer Profile (ICP) score, helping your sales team focus on high-potential opportunities. What You'll Need A free Airtop API key A copy of this Google Sheets Understanding the Process This automation transforms how you qualify and prioritize leads by extracting real-time, accurate information directly from LinkedIn profiles. Unlike static databases that quickly become outdated, this workflow taps into the most current professional information available. The workflow in this template: Uses Airtop to extract comprehensive LinkedIn profile data Analyzes the data to calculate an ICP score based on AI interest, technical depth, and seniority Updates your Google Sheet with the enriched data and the ICP Company score Company ICP Scoring Workflow Our company-focused workflow analyzes company LinkedIn profiles with a comprehensive set of criteria: Company Identity Extraction Company Scale Assessment Business Classification Technical Sophistication Assessment Investment Profile To then calculate the ICP Scoring, it will focus on: AI Implementation Level: Low-5 pts, Medium-10 pts, High-25 pts Technical Sophistication: Basic-5 pts, Intermediate-15 pts, Advanced-25 pts, Expert-35 pts Employee Count: 0-9 employees-5 pts, 10-150 employees-25 pts, 150+ employees-30 pts Automation Agency Status: True-20 pts, False-0 pts Geography: US/Europe Based-10 pts, Other-0 pts Setting Up Your Automation We've created ready-to-use templates for both person and company ICP scoring. Here's how to get started: Configure your connections Connect your Google Sheets account Add your Airtop API key (obtain from the Airtop dashboard) Set up your Google Sheet Ensure your Google Sheet has the necessary columns for input data and result fields Ensure that columns Linkedin_URL_Company and ICP_Score_Company exist at least Configure the Airtop module Set up the Airtop module to use the appropriate LinkedIn extraction prompt Use our provided prompt that extracts company profile data Customization Options While our templates work out of the box, you might want to customize them for your specific needs: Modify the ICP scoring criteria: Adjust the point values or add additional criteria specific to your business Add notification triggers: Set up Slack or email notifications for high-value leads that exceed a certain ICP threshold Implement batch processing: Modify the workflow to process leads in batches to optimize performance Add conditional logic: Create different scoring models for different industries or product lines Integrate with your CRM: Integrate this automation with your preferred CRM to get the details added automatically for you Real-World Applications Here's how businesses are using this automation: AI Sales Platform: A B2B AI company could implement this workflow to process their trade show lead list of contacts. Within hours, they can identify the top 50 prospects based on ICP score. SaaS Analytics Tool: A SaaS company could implement LinkedIn enrichment to identify which companies fit best. The automation processes weekly leads and categorizes them into high, medium, and low priority tiers, allowing their sales team to focus on the most promising opportunities first. Best Practices To get the most out of this automation: Review and refine your ICP criteria quarterly: What constitutes an ideal customer may evolve as your product and market develop Create tiered follow-up processes: Develop different outreach strategies based on ICP score ranges Perform regular data validation: Periodically check the accuracy of the automated scoring against your actual sales results What's Next? Now that you've automated your ICP scoring with LinkedIn data, you might be interested in: Setting up automated outreach sequences based on ICP score thresholds Creating custom reporting dashboards to track conversion rates by ICP segment Expanding your scoring model to include additional data sources Implementing lead assignment automation based on ICP scores Happy automating!

About The ICP Person Scoring Automation Sorting through lists of potential leads manually to determine who's truly worth your sales team's time isn't just tedious, it's incredibly inefficient. Without proper qualification, your team might spend hours pursuing prospects who aren't the right fit for your product, while ideal customers slip through the cracks. How to Automate Identifying Your Ideal Customers With this automation, you'll learn how to automatically score and prioritize leads using data extracted directly from LinkedIn profiles via Airtop's built-in integration with n8n. By the end, you'll have a fully automated workflow that analyzes prospects and calculates an Ideal Customer Profile (ICP) score, helping your sales team focus on high-potential opportunities. What You'll Need A free Airtop API key A copy of this Google Sheets Understanding the Process This automation transforms how you qualify and prioritize leads by extracting real-time, accurate information directly from LinkedIn profiles. Unlike static databases that quickly become outdated, this workflow taps into the most current professional information available. The workflow in this template: Uses Airtop to extract comprehensive LinkedIn profile data Analyzes the data to calculate an ICP score based on AI interest, technical depth, and seniority Updates your Google Sheet with the enriched data and the ICP score Person ICP Scoring Workflow Our person-focused workflow evaluates individual LinkedIn profiles to determine how well they match your ideal customer profile by: Extracting data for each individual Analyzing their profile to determine seniority and technical depth The system then automatically calculates an ICP score based on the following criteria: AI Interest: beginner-5 pts, intermediate-10 pts, advanced-25 pts, expert-35 pts Technical Depth: basic-5 pts, intermediate-15 pts, advanced-25 pts, expert-35 pts Seniority Level: junior-5 pts, mid-level-15 pts, senior-25 pts, executive-30 pts Setting Up Your Automation Here's how to get started: Configure your connections Connect your Google Sheets account Add your Airtop API key (obtain from the Airtop dashboard) Set up your Google Sheet Ensure your Google Sheet has the necessary columns for input data and result fields Ensure that columns Linkedin_URL_Person and ICP_Score_Person exist at least Configure the Airtop module Set up the Airtop module to use the appropriate LinkedIn extraction prompt Use our provided prompt that extracts individual profile data Customization Options While our templates work out of the box, you might want to customize them for your specific needs: Modify the ICP scoring criteria: Adjust the point values or add additional criteria specific to your business Add notification triggers: Set up Slack or email notifications for high-value leads that exceed a certain ICP threshold Implement batch processing: Modify the workflow to process leads in batches to optimize performance Add conditional logic: Create different scoring models for different industries or product lines Integrate with your CRM: Integrate this automation with your preferred CRM to get the details added automatically for you Real-World Applications Here's how businesses are using this automation: AI Sales Platform: A B2B AI company could implement this workflow to process their trade show lead list of contacts. Within hours, they can identify the top 50 prospects based on ICP score. SaaS Analytics Tool: A SaaS company could implement LinkedIn enrichment to identify which companies fit best. The automation processes weekly leads and categorizes them into high, medium, and low priority tiers, allowing their sales team to focus on the most promising opportunities first. Best Practices To get the most out of this automation: Review and refine your ICP criteria quarterly: What constitutes an ideal customer may evolve as your product and market develop Create tiered follow-up processes: Develop different outreach strategies based on ICP score ranges Perform regular data validation: Periodically check the accuracy of the automated scoring against your actual sales results What's Next? Now that you've automated your ICP scoring with LinkedIn data, you might be interested in: Setting up automated outreach sequences based on ICP score thresholds Creating custom reporting dashboards to track conversion rates by ICP segment Expanding your scoring model to include additional data sources Implementing lead assignment automation based on ICP scores Happy automating!