Workflow Templates

CallForge - AI Gong Sales Call Processing Workflow Automate your Gong.io sales call analysis with AI-driven insights, real-time tracking, and structured CRM integration. Who is This For? This workflow is designed for: ✅ Sales teams looking to automate sales call processing. ✅ Revenue operations (RevOps) professionals managing high volumes of call data. ✅ AI-driven sales intelligence teams using Gong.io for data-driven insights. What Problem Does This Workflow Solve? Manually managing and analyzing large volumes of Gong call data is time-consuming and error-prone. With CallForge, you can: ✔ Automate call processing to scale AI-driven insights. ✔ Integrate with Notion to track and organize sales call data efficiently. ✔ Get real-time Slack updates to stay informed on call processing progress. ✔ Handle API failures gracefully, allowing easy reruns if a rate limit is hit. ✔ Ensure AI-ready analysis, feeding structured call data into an AI-powered system. What This Workflow Does 1. Triggers on New Gong Calls Captures new Gong calls and retrieves metadata, call summaries, and participant details. 2. Compares Calls Against Notion Database Checks whether the call has already been processed and stored in Notion. Prevents duplicate entries** from being added. 3. Creates a Parent Notion Record for AI Processing Stores call details such as date, title, URL, company name, sales rep, and opportunity details in Notion. Links calls to Salesforce Opportunity (SF Opp) data. Assigns sales representatives and customer information to each call. 4. Loops Through Calls for Processing Ensures resilience* by allowing failed runs to *restart where they left off**. Processes calls one at a time to prevent Notion rate limits. 5. Sends Call Data to an AI Processor Extracts structured call details and sends them to an AI-powered analysis workflow. Allows multiple AI agents to process and extract structured data from calls. 6. Provides Real-Time Slack Alerts Posts a progress update in Slack when the queue starts processing. Sends real-time call progress notifications. Sends a completion alert once all calls are processed. How to Set Up This Workflow 1. Connect Your APIs 🔹 Gong API Credentials – Ensure you have valid Gong API credentials in n8n. 🔹 Notion Database – Provide access to a Notion database for storing call insights. 🔹 Slack Integration – Configure a Slack channel for progress alerts. 🔹 AI Processing Workflow – Connect an AI-powered call processing workflow for final analysis. 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 How to Customize This Workflow 💡 Modify Call Storage – Swap Notion for a different CRM or database (e.g., HubSpot, Airtable, Salesforce). 💡 Change AI Processing – Integrate a custom AI model for analyzing sales conversations. 💡 Customize Slack Notifications – Adjust Slack messages or send alerts via email instead. 💡 Expand with More Integrations – Connect with Salesforce, Pipedrive, or HubSpot for further enrichment. Why Use CallForge? 🚀 Automate Gong call tracking for seamless sales intelligence. 📊 Improve sales operations with structured, AI-powered insights. ⚡ Get real-time updates and keep your team informed instantly. Start optimizing your Gong call processing today!

Trigger on new Typeform form submission Write data to Google Sheet Check severity of problem If very severe post message to Slack If not so severe just send an email Assumptions Google Sheet Sheet in Spreadsheet called "Problems". Columns Names: Name Email Severity Problem Example Sheet: https://docs.google.com/spreadsheets/d/17fzSFl1BZ1njldTfp5lvh8HtS0-pNXH66b7qGZIiGRU Typeform Typeform formular with questions named exactly like the columns of the Google Sheet.

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 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.

🎦🚀 YouTube Video Comment Analysis Agent This n8n workflow is designed to help YouTube creators analyze video details and comments to generate a comprehensive and actionable report. The workflow provides insights into video performance, audience engagement, and viewer feedback, helping creators identify trends, interests, and opportunities for future content creation. ✨ Key Features Video Performance Analysis: Extracts metrics like views, likes, and comments to evaluate the video's success. Comment Sentiment Analysis: Determines the tone of comments (positive, neutral, or negative) to understand audience sentiment. Recurring Themes Detection: Identifies common topics or questions in comments to highlight viewer interests. Engagement Drivers: Pinpoints what aspects of the video resonated most with viewers. Actionable Recommendations: Offers strategies for creating follow-up content or improving future videos. Keyword Suggestions: Extracts frequently mentioned terms for better discoverability on YouTube. Collaboration Opportunities: Suggests potential partnerships based on viewer feedback or related channels. 🛠️ How to Use Set Up Workflow Variables: Add your GOOGLE_API_KEY and the VIDEO_ID of the YouTube video you want to analyze in the "Workflow Variables" node. Ensure your Google API key has access to the YouTube Data API. Run the Workflow: Trigger the workflow manually or through another workflow using the "Execute Workflow Trigger" node. The workflow will fetch video details and comments using pagination to ensure all data is captured. Generate Insights: The workflow processes video details and comments to create a detailed report with actionable insights. Outputs include sentiment analysis, engagement drivers, content opportunities, and audience profiling. View or Share Results: The report is converted into Markdown and can be emailed via Gmail or saved to Google Drive as a document. 🌟 Value from This Workflow Gain a deeper understanding of your audience's preferences and feedback. Identify trends and engagement drivers to replicate success in future videos. Discover new content opportunities based on viewer questions and suggestions. Improve discoverability by leveraging keyword suggestions extracted from comments. Build stronger connections with your audience by addressing their needs effectively.

Smart Email Auto-Responder with AI Classification Automatically Categorize and Reply to Emails using LangChain + Google Gemini + Gmail + SMTP + Brevo This n8n workflow is designed to intelligently manage incoming emails and automatically send personalized responses based on the content. It classifies emails using LangChain's Text Classifier, sends HTML responses depending on the category, and updates Gmail and Brevo CRM accordingly. Key Features Triggers and Classifies Emails Listens for new Gmail messages every hour Uses AI-based classification to identify the type of inquiry For Example: Guest Post YouTube Review Udemy Course Inquiry Responds Automatically Sends professional HTML replies customized for each type Uses SMTP to deliver emails from your domain Enhances Workflow with Automation Marks processed emails as read Applies Gmail labels Adds sender to Brevo contact list Optional AI Chat Integration Uses Google Gemini (PaLM 2) to enhance classification or summarization Tools & Integrations Required Gmail account (OAuth2) LangChain (Text Classifier node) Google Gemini API account SMTP credentials (e.g., Gmail SMTP, Brevo, etc.) Brevo/Sendinblue account and API key Step-by-Step Node Guide 1. Gmail Trigger Polls Gmail every hour for new emails. Filters out internal addresses (e.g., @syncbricks.com). Avoids replying to already-responded emails (Re: subject filter). 2. LangChain Text Classifier Uses AI to categorize the content of the email based on pre-defined categories: Guest Post** Youtube** Udemy Courses** 3. Google Gemini (PaLM) Chat Model (Optional) Provides additional AI support to enhance classification accuracy. Can be used to summarize or enrich the context if needed. 4. Email Send Nodes Each response category has a separate SMTP node with a custom HTML email: Guest Post Inquiry** YouTube Video Inquiry** Udemy Course Inquiry** 5. Gmail: Mark as Read Marks the email so it isn’t processed again. 6. Gmail: Apply Label Adds a label (e.g., Handled by Bot) for organization. 7. Brevo: Create/Update Contact Saves the sender to your CRM for future communication or marketing. Email Templates Included Guest Post Template Includes pricing, website list, submission guidelines, and payment instructions. YouTube Review Template Includes package pricing, review samples, video thumbnails, and inquiry instructions. Step by Step Tutorial GET n8n Now N8N COURSE n8n Book More courses: http://lms.syncbricks.com YouTube Channel: https://youtube.com/@syncbricks How to Use Import the template into your n8n instance. Configure your Gmail OAuth2 and SMTP credentials. Set up your LangChain Text Classifier and Google Gemini API credentials. Update label ID in the Gmail node and ensure all custom fields like from.value[0].name match your use case. Run the workflow and watch it respond intelligently to new inquiries. Best Practices Always test with mock emails first. Keep the Google Gemini node optional if you want to reduce cost/API calls. Use Gmail filters to auto-label certain types of emails. Monitor your Brevo contacts to track new leads. Attribution & Support Developed by Amjid Ali This template took extensive time and effort to build. If you find it useful, please consider supporting my work. Buy My Book: Mastering n8n on Amazon Full Courses & Tutorials: http://lms.syncbricks.com Follow Me Online: LinkedIn: https://linkedin.com/in/amjidali Website: https://amjidali.com YouTube: https://youtube.com/@syncbricks

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.

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

Update 19-04-2025 Change from OpenAI to Claude 3.7 Sonnet module Adding the Think Tool The update enables significantly better results to be achieved. This is particularly noticeable during longer meetings! What this workflow does This workflow retrieves the Zoom meeting data from the last 24 hours. The transcript of the last meeting is then retrieved, processed, a summary is created using AI and sent to all participants by email. AI is then used to create tasks and follow-up appointments based on the content of the meeting. Important: You need a Zoom Workspace Pro account and must have activated Cloud Recording/Transcripts! This workflow has the following sequence: manual trigger (Can be replaced by a scheduled trigger or a webhook) retrieval of of Zoom meeting data filter the events of the last 24 hours retrieval of transcripts and extract of the text creating a meeting summary, format to html and send per mail create tasks and follow-up call (if discussed in the meeting) in ClickUp/Outlook (can be replaced by Gmail, Airtable, and so forth) via sub workflow Requirements: Zoom Workspace (via API and HTTP Request): Documentation Microsoft Outlook: Documentation ClickUp: Documentation AI API access (e.g. via OpenAI, Anthropic, Google or Ollama) SMTP access data (for sending the mail) You must set up the individual sub-workflows as separate workflows. Then set the “Execute workflow trigger” here. Then select the corresponding sub-workflow in the AI Agent Tools. You can select the number of domains yourself. If the data queries are not required, simply delete the corresponding tool (e.g. “Analytics_Domain_5). Feel free to contact me via LinkedIn, if you have any questions!

AI-Powered MCQ Quiz Generator from YouTube Videos Transform any YouTube video into an interactive MCQ quiz automatically! This workflow uses Google Gemini AI to analyze video content and generate comprehensive multiple-choice questions with automatic grading - perfect for educators, trainers, and content creators. Who is this For This workflow is perfect for: Educators** creating quizzes from educational YouTube content Corporate Trainers** developing assessments from training videos Content Creators** engaging their audience with interactive quizzes Students** testing their knowledge on video lectures Online Course Creators** building assessments from video content Features AI Video Analysis**: Google Gemini 2.5 Flash analyzes entire YouTube videos (up to 50 minutes) Dynamic Question Generation**: Creates up to 90 MCQ questions with 3 options each Automatic Form Creation**: Generates Google Forms with quiz functionality Smart Grading**: Built-in correct answer identification and scoring Error Handling**: Robust error management with user feedback How It Works User Input via n8n Web Form: Form Name (Quiz Title) Email Address YouTube Video URL Number of Questions (1-90) AI Processing Pipeline: Google Gemini analyzes the YouTube video content AI extracts key concepts and generates relevant questions Structured output parser formats questions into JSON Google Forms Integration: Automatically creates a new Google Form Adds all generated questions with multiple choice options Configures quiz settings with correct answers and scoring Completion & Access: User receives direct link to the generated quiz Form ready for immediate use or sharing Video Demo: See this youtube Video to explore "how it works". Set Up Steps Import the Workflow Create a new workflow in n8n Import the JSON file by clicking "three dots" (upper right corner) > "Import from file..." Configure Google Gemini API Get your Google AI Studio API key from Google AI Studio On “HTTP Request to Gemini” node replace the “API_KEY” from url with your API key. Create a "Google Gemini (PaLM) API" credential in n8n Add your API key to the credential Connect the credential to the "Google Gemini Chat Model" node Set Up Google Forms Integration Enable Google Forms API in Google Cloud Console Create a "Google OAuth2 API" credential in n8n Authorize the credential with Forms permissions Connect the credential to both HTTP Request nodes (“Create a Google Form” node and “Create MCQ Quizzes” node) Configure Form Trigger The workflow includes a built-in form trigger No additional setup needed - the form URL will be generated automatically Customize form fields if needed in the “Input YouTube URL" node Test the Workflow Activate the workflow Submit the form to generate a test quiz Verify the Google Form is created successfully Pre-requisites Necessary Accounts:** Google Account (for Forms API access) Google AI Studio Account (for Gemini API access) n8n Instance (cloud or self-hosted) API Access:** Google Forms API enabled Google drive API enabled Google Generative AI API access Valid API keys and OAuth credentials N8N Requirements:** n8n version 1.95.2 or higher LangChain nodes package installed Internet access for API calls Customization Guidance Question Generation Prompts: Modify the prompt in "Set Prompt and model" node for different question styles Adjust difficulty levels or focus areas Change question format (True/False, Fill-in-blanks, etc.) Form Customization: Update form title and description templates Add additional input fields (difficulty level, subject area) Customize success/error messages Advanced Features You Can Add: Email Notifications: Send quiz links via email Analytics Integration: Track quiz performance and completion rates Multi-language Support: Generate quizzes in different languages Question Bank Storage: Save generated questions to a database Batch Processing: Generate multiple quizzes from a YouTube playlist Error Handling Enhancements: Add retry logic for API failures Implement fallback question generation Create detailed error logging Technical Specifications Video Length**: Up to 50 minutes supported Question Limit**: 1-90 questions per quiz Processing Time**: 2-10 minutes depending on video length Supported Formats**: YouTube videos (public and unlisted) Output Format**: Google Forms with automatic grading Limitations & Considerations YouTube video must be publicly accessible or unlisted Processing time increases with video length and question count API rate limits may apply for high-volume usage Some complex visual content may not be fully analyzed Ready to Transform Videos into Quizzes? This workflow streamlines the entire process from video analysis to quiz deployment. Perfect for educators and trainers looking to create engaging assessments from video content quickly and efficiently.

This workflow demonstrates the use of $runIndex expression. It demonstrates how the expression can be used to avoid an infinite loop. The workflow will create 5 Tweets with the content 'Hello from n8n!'. You can use this workflow by replacing the Twitter node with any other node(s) and updating the condition in the IF node.

Gmail to Vector Embeddings with PGVector and Ollama Who is this for? Everyone! Did you dream of asking an AI "what hotel did I stay in for holidays last summer?" or "what were my marks last semester like?". Dream no more, as vector similarity searches and this workflow are the foundations to make it possible (as long as the information appears in your e-mails 😅). 100% local This workflow is designed to use locally-hosted open source. Ollama as LLM provider, nomic-embed-text as the embeddings model, and pgvector as the vector database engine, on top of Postgres. But.. how?! Firstly, specify the date you created your Gmail account on, then manually run the workflow in order to bulk read all your e-mail in monthly batches. Your database is now populated! Now it's the task for other workflows to query the vector database. Activate the workflow so that new e-mail is continuously added by the Gmail Trigger upon receiving it. Structured AND Vectorized This workflow stores your e-mail activity in two ways: In a structured table In a vector embeddings table And the information in both of them can be correlated by Gmail's messages id, which is stored in the vectors table as metadata property emails_metadata.id. That way consumers can benefit from both worlds! ✨ Vector similarity searches enable semantic searches, while structured queries can retrieve more factual data like the message id, its date or who it came from. Other useful templates My template Chat with Your Email History using Telegram, Mistral and Pgvector for RAG is a ready-made solution to consume this workflow. You may also pair this workflow with my other template to Email Assistant: Convert Natural Language to SQL Queries with Phi4-mini and PostgreSQL and you'll enable RAG workflows that use both structured and vectorized databases. Customizations I suppose the e-mail provider could be changed, but then you'd have to identify an alternative id field. Message-ID would be a more standard option. There are a few opinionated choices as to what metadata to store, but those shouldn't need adjustments.