Workflow Templates

How it Works This workflow fetches top news headlines every 10 minutes from NewsAPI, summarizes them using OpenAI's GPT-4o model, and sends a concise email digest to a list of recipients defined in a Google Spreadsheet. It's ideal for anyone who wants to stay updated with the latest news in a short, digestible format. 🎯 Use Case Professionals who want summarized daily news Newsletters or internal communication updates Teams that require contextual summaries of the latest events Setup Instructions 1. Upload the Spreadsheet File name: Emails Column: Email with recipient addresses 2. Configure Google Sheets Nodes Connect your Google account to: Email List Send Email 3. Add API Credentials NewsAPI Key** → for fetching top headlines OpenAI API Key** → for summarizing headlines Gmail Account** → for sending the email digest 4. Activate the Workflow Once active, the workflow runs every 10 minutes via a cron trigger Summarized news is sent to the list of emails in the spreadsheet 🔁 Workflow Logic Trigger: Every 10 minutes via Cron Fetch News: HTTP request to NewsAPI for top headlines Summarize: Headlines are passed to OpenAI's GPT-4o for 5-bullet summary Read Recipients: Google Sheet is used to collect email recipients Send Email: Summary is formatted and sent via Gmail 🧩 Node Descriptions | Node Name | Description | |-----------|-------------| | Cron | Triggers the workflow every 10 minutes. | | HTTP Request - NewsAPI | Fetches top news headlines using NewsAPI. | | Set | Formats or structures raw news data before processing. | | AI Agent | Summarizes the news content using OpenAI into 5 bullet points. | | Email List | Reads recipient email addresses from the 'Emails' Google Spreadsheet. | | Send Email | Sends the email digest to all recipients using Gmail. | 🛠️ Customization Tips Modify the AI prompt for tone, length, or content type Send summaries to Slack, Telegram, or Notion instead of Gmail Adjust cron interval for more/less frequent updates Change email formatting (HTML vs plain text) 📎 Required Files | File Name | Purpose | |-----------|---------| | Emails spreadsheet | Google Sheet containing the list of email recipients | | daily_news.json | Main n8n workflow file to automate daily news digest | 🧪 Testing Tips Add 1–2 test email addresses in your spreadsheet Temporarily change the Cron node to run every minute for testing Check email inbox for delivery and formatting Inspect the execution logs for API errors or formatting issues 🏷 Suggested Tags & Categories #News #OpenAI #Automation #Email #Digest #Marketing

Convert PDF documents to AI-generated podcasts with Google Gemini and Text-to-Speech Transform any PDF document into an engaging, natural-sounding podcast using Google's Gemini AI and advanced Text-to-Speech technology. This automated workflow extracts text content, generates conversational scripts, and produces high-quality audio files. Who is this for? This workflow template is perfect for content creators, educators, researchers, and marketing professionals who want to repurpose written content into audio format. Ideal for creating podcast episodes, educational content, or making documents more accessible. What problem does this solve? Converting written documents to engaging audio content manually is time-consuming and requires scriptwriting skills. This workflow automates the entire process, turning static PDFs into dynamic, conversational podcasts that sound natural and engaging. What this workflow does Extracts text from uploaded PDF documents Generates podcast script using Google Gemini AI with conversational tone Converts script to speech using Google's advanced TTS with customizable voices Processes audio into properly formatted WAV files Saves final podcast ready for distribution Setup Obtain API credentials: Get Google Gemini API key from AI Studio Configure credentials in n8n as "Google Gemini(PaLM) Api account" Configure voice settings: Choose from available voices: Kore (professional), Aoede (conversational), Laomedeia (energetic) Customize script generation prompts if needed Test the workflow: Upload a sample PDF file Verify audio output quality Adjust voice settings as preferred How to customize this workflow Modify script style:** Edit the prompt in the "Generate Podcast Script" node to change tone, length, or format Change voice:** Update the voice name in "Prepare TTS Request" node Add preprocessing:** Insert text cleaning nodes before script generation Integrate with storage:** Connect to Google Drive, Dropbox, or other storage services Add notifications:** Include Slack or email notifications when podcasts are ready Note: This template requires Google Gemini API access and works best with text-based PDF files under 10MB.

Daily Email Pulse Summary: This agent summarizes a user's daily emails into a clean, actionable summary. It uses OpenAI to analyze content and sends a formatted "Daily Pulse" email at the end of each day. Main use cases: Keep track of open loops and next steps across all email conversations Identify high-potential leads and flag conversations going nowhere Eliminate the need to manually review your inbox at day’s end Build a smart summary layer using AI without hallucination or noise How it works This workflow can be divided into eight core nodes, each serving a distinct purpose in helping a user stay on top of their day. The result is a curated, AI-generated summary delivered to your inbox — crafted from real message content, not guesswork. Schedule Trigger (Trigger Node – Runs Daily at Set Time) Kicks off the workflow at a specific time each day (e.g. 6:00 PM). Ensures you receive your Daily Pulse consistently, without needing to run it manually. Date Transformer (Function Node – Define Today & Tomorrow Range) Uses JavaScript to calculate the current day’s date range: today: Start of day (00:00:00) tomorrow: Start of next day (used as a cutoff) This ensures only emails from today are analyzed, keeping the summary focused and current. Get All Messages (Gmail Node – Fetch Filtered Emails) Pulls in all Gmail messages with internalDate between today and tomorrow. Outputs structured data: from, subject, and body text of each email. This forms the raw data for the daily business pulse. Aggregator (Function or Item Lists Node – Combine Message Fields) Aggregates each message into a readable format: From: John@example.com Subject: Demo Follow-up Body: Let’s schedule a time this week... All messages are stitched together into a single combinedText string for analysis. This gives the AI model full context for the day in one unified document. Email Cleanup (Function Node – Remove Noise & Normalize Text) Cleans the combinedText blob to remove: HTML tags Marketing footers (e.g., unsubscribe links) Redundant whitespace or formatting artifacts Ensures GPT gets clean, relevant message content with no distractions. Agent (OpenAI Node – Generate Structured Summary) Uses a System Prompt to define its role as an AI Chief of Staff. Uses a User Prompt that instructs it to categorize messages into sections: 📝 Open Loops / Pending Follow-Up 🚀 Next Steps You’ve Committed To 🧲 Leads Worth Following Up On 🛑 Conversations That Aren’t Leading Anywhere 🧠 Strategy Notes ✅ Top 3 Tasks for Tomorrow Built-in guardrails ensure the model only uses real content (no hallucination). Sections with no relevant data are omitted to keep it concise. HTML Formatter (Function Node – Wrap Markdown in Email-Ready HTML) Wraps the GPT-generated markdown summary in a simple <html><body> structure. Applies white-space: pre-wrap to preserve formatting and spacing. The result is a clean, readable email that renders well across all inboxes (especially Gmail). Email Send (Email Node – Deliver the Final Pulse) Sends the formatted summary to your email inbox. Subject: Your Daily Business Pulse – {{today}} HTML body: Uses the formatted output from the previous step. Final output: a well-organized, scannable summary of the day’s communication — focused on what matters. Why It Works Automates the end-of-day review ritual without effort Prioritizes follow-ups, action items, and time-sensitive leads Filters out noise and low-value conversations Leverages GPT without risk of hallucination or irrelevant output Delivers clarity, helping you focus on tomorrow’s most important tasks

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works This workflow is a simple AI Agent that connects to Langfuse so send tracing data to help monitor LLM interactions. The main idea is to create a custom LLM model that allows the configuration of callbacks, which are used by langchain to connect applications such Langfuse. This is achieves by using the "langchain code" node: Connects a LLM model sub-node to obtain the model variables (model name, temp and provider) - Creates a generic langchain initChatModel with the model parameters. Return the LLM to be used by the AI Agent node. 📋 Prerequisites Langfuse instance (cloud or self-hosted) with API credentials LLM API key (Gemini, OpenAI, Anthropic, etc.) n8n >= 1.98.0 (required for LangChain code node support in AI Agent) ⚙️ Setup Add these to your n8n instance: Langfuse configuration LANGFUSE_SECRET_KEY=your_secret_key LANGFUSE_PUBLIC_KEY=your_public_key LANGFUSE_BASEURL=https://cloud.langfuse.com # or your self-hosted URL LLM API key (example for Gemini) GOOGLE_API_KEY=your_api_key Alternative: Configure these directly in the LangChain code node if you prefer not to use environment variables Import the workflow JSON Connect your preferred LLM model node Send a test message to verify tracing appears in Langfuse

This n8n workflow demonstrates multiple ways to harness DeepSeek's AI models in your automation pipeline! 🌟 Core Features Multiple Integration Methods 🔌 Local deployment using Ollama for DeepSeek-R1 Direct API integration with DeepSeek Chat V3 Conversational agent with memory buffer HTTP request implementation with both raw and JSON formats Model Options 🧠 DeepSeek Chat V3 for general conversation DeepSeek-R1 for advanced reasoning Memory-enabled agent for persistent context Quick Setup 🛠️ API Configuration Base URL: https://api.deepseek.com Get your API key from platform.deepseek.com/api_keys Local Setup 💻 Install Ollama for local deployment Set up DeepSeek-R1 via Ollama Configure local credentials in n8n Implementation Details 🔧 Conversational Agent Window Buffer Memory for context Customizable system messages Built-in error handling with retries API Endpoints 🌐 Chat completions for V3 and R1 models OpenAI API format compatibles

This n8n workflow automates website security audits. It combines direct website scanning, threat intelligence from AlienVault OTX, and advanced analysis from an OpenAI large language model (LLM) to generate and email a comprehensive security report. How it Works (Workflow Flow): Input: A user provides a website URL via a simple web form. Data Collection: An HTTP Request node visits the provided URL to gather initial data (status code, headers). An AlienVault HTTP Request node queries AlienVault OTX for known threats associated with the website's hostname. Data Preparation (Prepare Data for AI): A custom code node consolidates the collected website data and AlienVault intelligence, performing initial checks for common issues (e.g., error codes, missing security headers, AlienVault warnings). AI Analysis (Security Configuration Audit): The prepared data is sent to an OpenAI Chat Model, which acts as a cybersecurity expert. The AI analyzes the data to identify vulnerabilities, explain their impact, suggest exploitation methods, and outline mitigation steps. Report Formatting (Format Report for Email): Another custom code node takes the AI's plain-text report and converts it into a structured HTML format suitable for email. Delivery (Send Security Report): The final HTML report is sent via Gmail to a specified email address. Setup Steps: To use this workflow, you'll need an n8n instance and the following credentials: n8n Instance: Ensure your n8n environment is running. OpenAI API Key: Generate a key from OpenAI. Add an "OpenAI API" credential in n8n (e.g., "OpenAI account"). AlienVault OTX API Key: Obtain a key from your AlienVault OTX profile. Add an "AlienVault OTX API" credential in n8n (e.g., "AlienVault account"). Gmail Account: Set up a "Gmail OAuth2" credential in n8n for sending emails (recommended for security; involves Google Cloud setup). Import Workflow: Copy the workflow's JSON code. In n8n, import the workflow via "Workflows" > "New" > "Import from JSON". Configure Recipient: In the "Send Security Report" node, specify the email address where reports should be sent. Activate: Enable the workflow to start processing submissions. Once activated, access the "On form submission" webhook URL to input a URL and trigger an audit.

Use case Workshop We are using this workflow in our workshops to teach how to use Tools a.k.a functions with artificial intelligence. In this specific case, we will use a generic "AI Agent" node to illustrate that it could use other models from different data providers. Enhanced Weather Forecasting In this small example, it's easy to demonstrate how to obtain weather forecast results from the Open-Meteo site to accurately display the upcoming days. This can be used to plan travel decisions, for example. What this workflow does We will make an HTTP request to find out the geographic coordinates of a city. Then, we will make other HTTP requests to discover the weather for the upcoming days. In this workshop, we demonstrate that the AI will be able to determine which tool to call first—it will first call the geolocation tool and then the weather forecast tool. All of this within a single client conversation call. Setup Insert an OpenAI Key and activate the workflow. by Davi Saranszky Mesquita https://www.linkedin.com/in/mesquitadavi/

The Error Notification workflow is designed to instantly notify you whenever any other n8n workflow encounters an error, using popular communication channels like Telegram and Gmail—with optional support for Discord, Slack, and WhatsApp. 💡 Why Use Error Notification workflow? Immediate Awareness:** Get instant alerts when workflows fail, preventing unnoticed errors and downtime. Multi-Channel Flexibility:** Notify your team via Telegram, Gmail, and optionally Slack, Discord, or WhatsApp. Detailed Context:** Receive rich error information including the error message, node name, time, and execution link for quicker fixes. Easy Integration:** Built with native n8n nodes and customizable code, simple to adopt without complex setup. Open Source & Free:** Use and adapt this workflow at no cost, making professional error monitoring accessible. ⚡ Who Is This For? n8n Workflow Developers:** Quickly spot and respond to automation issues in development or production. Operations Teams:** Maintain uptime and swiftly troubleshoot errors across multiple workflows. Small to Medium Businesses:** Gain professional error alerting without expensive monitoring tools. Automation Enthusiasts:** Enhance your automation reliability with real-time failure notifications. ❓ What Problem Does It Solve? This workflow embedd error detection and notification directly within your n8n instance. It automates the process of catching errors as they occur, compiling meaningful context, and delivering it instantly via your preferred messaging platforms. This drastically reduces your response time to issues and streamlines error management, improving your automation reliability and operational confidence. 🔧 What This Workflow Does ⏱ Trigger: Listens for any error generated in your n8n workflows using the n8n Error Trigger node. 📎 Step 2: Executes a Code node that formats a detailed error message capturing workflow name, error node, description, timestamp, and an execution URL. 🔍 Step 3: Sends the formatted error notification to multiple communication channels: Telegram and Gmail by default, plus optionally Discord, Slack, and WhatsApp (disabled by default). 💌 Step 4: Delivers rich, parsed HTML-formatted messages to ensure error readability and immediate actionability. 🔐 Setup Instructions Import the provided .json file into your n8n instance (Cloud or self-hosted). Set up credentials: Gmail OAuth credentials for sending emails via Gmail node Telegram API credentials for Telegram notifications (Optional) Discord Webhook URL credential for Discord notifications (Optional) Slack Webhook credential for Slack notifications (Optional) WhatsApp connection credentials (if enabled) Customize the Code node if needed to adjust the error message format or target chat IDs. Update the chat IDs and recipient details in each notification node according to your channels. Test the workflow by manually triggering an error in another workflow to verify proper notifications. 🧩 Pre-Requirements Active n8n instance (cloud or self-hosted) with version supporting Error Trigger node Telegram bot credentials and chat ID (Optional) Gmail, Discord, Slack, or WhatsApp accounts and webhook credentials if you want to use those channels 🛠️ Customize It Further Enable and configure additional notification nodes like Slack or WhatsApp to fit your team's communication style. Customize the error message template in the Code node to include extra metadata or format it differently (e.g., markdown). Integrate with incident management tools via webhook nodes or create tickets automatically on error. 🧠 Nodes Used Error Trigger Code Telegram Gmail Discord (disabled) Slack (disabled) WhatsApp (disabled) Sticky Note (for description) 📞 Support Made by: khaisa Studio Tag: notification,error,monitoring,workflow,automation,alerts Category: Monitoring & Alerts Need a custom? Need a custom? contact me on LinkedIn or Web

Overview In cold email campaigns, the lead's company name is the 2nd most frequently inserted variable after their first name. They're critical for effective cold email personalization. However, company names are often messy and can contain taglines, legal suffixes (e.g. LLC, Inc.), and other variations that would never be written out by a human in an email. If your email starts with "I came across Techwave Solutions LLC on LinkedIn...", it's a dead giveaway that you're sending a tempalted email and a response is much less likely. This simple workflow uses AI to clean up messy company names in a Google Sheet so that your cold email campaigns can achieve better results. How It Works A form is submitted with a Google Sheet url The workflow grabs the leads and uses an LLM node to clean the company names The updated leads are saved back in a new sheet within the original spreadsheet Setup Steps Add your Google Sheets and OpenAI (or your AI model provider of choice) credentials to n8n Create a Google Sheet with your list of leads. IMPORTANT: the sheet MUST have a column called "Company" (Optional). The AI workflow has a highly optimized system prompt. However, you may achieve better results by updating the list of examples in the prompt with companies (real or fake) in the industry you're targeting. If you have any questions or feedback about this workflow, or would like me to build custom workflows for your business, email me at n8n@paperjam.agency.

This n8n workflow template is designed for developers, system administrators, and IT professionals who manage Linux VPS environments. It leverages an AI chatbot powered by the OpenAI model to interpret and execute SSH commands on a Linux VPS directly from chat messages. The workflow triggers when a specific chat message is received, which is then processed by the AI SysAdmin ReAct Agent to execute predefined SSH commands securely. How It Works Chat Trigger: The workflow starts when a chat message is received via a supported platform (like Slack, Telegram, etc.). AI Processing: The message is passed to the AI SysAdmin ReAct Agent, which uses an embedded OpenAI model to interpret the command and map it to a corresponding SSH action. Command Execution: The interpreted command is securely executed on the target Linux VPS using SSH, with login credentials managed through a secure method embedded within the workflow. Setup Instructions Import the Workflow: Download and import the workflow into your n8n instance. Configure Chat Integration: Set up the chat trigger node by connecting it to your preferred chat platform and configuring the trigger conditions. Set SSH Credentials: Securely input your SSH credentials in the designated SSH login credentials node. Deploy and Test: Deploy the workflow and perform tests to ensure that commands are executed correctly and securely on your VPS. Embrace the future of VPS management with our AI-driven SysAdmin for Linux VPS template. This innovative solution transforms how system administrators interact with and manage their servers, offering a streamlined, secure, and efficient method to handle routine tasks through simple chat commands. With the power of AI at your fingertips, enhance your operational efficiency, reduce response times, and manage your Linux environments more effectively. Get started today to experience a smarter way to manage your systems directly through your chat tool.

This workflow is designed to generate prompts for AI agents and store them in Airtable. It starts by receiving a chat message, processes it to create a structured prompt, categorizes the prompt, and finally stores it in Airtable. 2. Setup Instructions Prerequisites AI model eg Gemini, openAI etc** Airtable base and table or other storage tool** Step-by-Step Guide Clone the Workflow Copy the provided workflow JSON and import it into your n8n instance. Configure Credentials Set up the Google Gemini(PaLM) API account credentials. Set up the Airtable Personal Access Token account credentials. Map Airtable Base and Table Create a copy of the Prompt Library in Airtable. Map the Airtable base and table in the Airtable node. Customize Prompt Template Edit the 'Create prompt' node to customize the prompt template as needed. Configuration Options Prompt Template:** Customize the prompt template in the 'Create prompt' node to fit your specific use case. Airtable Mapping:** Ensure the Airtable base and table are correctly mapped in the Airtable node. 4. Running and Troubleshooting Running the Workflow Trigger the Workflow: Send a chat message to trigger the workflow. Monitor Execution: Use the n8n interface to monitor the workflow execution. Check Completion: Verify that the prompt is stored in Airtable and check the chat interface for the result. Troubleshooting Tips API Issues:** Ensure that the APIs and Airtable credentials are correctly configured. Data Mapping:** Verify that the Airtable base and table are correctly mapped. Prompt Template:** Check the prompt template for any errors or inconsistencies. Use Case Examples This workflow is particularly useful in scenarios where you want to automate the generation and management of AI agent prompts. Here are some examples: Rapid Prototyping of AI Agents: Quickly generate and test different prompts for AI agents in various applications. Content Creation:** Generate prompts for AI models that create blog posts, articles, or social media content. Customer Service Automation:** Develop prompts for AI-powered chatbots to handle customer inquiries and support requests. Educational Tools:** Create prompts for AI tutors or learning assistants. Industries/Professionals: Software Development:** Developers building AI-powered applications. Marketing:** Marketers automating content creation and social media management. Customer Service:** Customer service managers implementing AI-driven chatbots. Education:** Educators creating AI-based learning tools. Practical Value: Time Savings:** Automates the prompt generation process, saving significant time and effort. Improved Prompt Quality:** Leverages Google Gemini and structured prompt engineering principles to generate more effective prompts. Centralized Prompt Management:** Stores prompts in Airtable for easy access, organization, and reuse. 4. Running and Troubleshooting Running the Workflow:** Activate the workflow in n8n. Send a chat message to the webhook URL configured in the "When chat message received" node. Monitor the workflow execution in the n8n editor. Monitoring Execution:** Check the execution log in n8n to see the data flowing through each node and identify any errors. Checking for Successful Completion:** Verify that a new record is created in your Airtable base with the generated prompt, name, and category. Confirm that the "Return results" node sends back confirmation of the prompt in the chat interface. Troubleshooting Tips:** Error:** 400: Bad Request in the Google Gemini nodes: Cause:** Invalid API key or insufficient permissions. Solution:** Double-check your Google Gemini API key and ensure that the API is enabled for your project. Error:** Airtable node fails to create a record: Cause:** Invalid Airtable credentials, incorrect Base ID or Table ID, or mismatched column names. Solution:** Verify your Airtable API key, Base ID, Table ID, and column names. Ensure that the data types in n8n match the data types in your Airtable columns. Follow me on Linkedin for more

🧾 What this workflow does This workflow turns YouTube video links into ready-to-edit newsletter drafts using Dumpling AI and GPT-4o. It reads new video URLs from a Google Sheet, extracts their transcripts, summarizes them into email-friendly content, and logs the finished draft back into the same sheet. An email notification is also sent to alert the user once each draft is created. 👤 Who is this for Newsletter writers or marketers repurposing video content YouTube creators building email follow-ups from videos Agencies or VAs batching social → email content Automation users streamlining content workflows ⚙️ How to set up ✅ Requirements Google Sheet** with the following columns: link — YouTube video URL blog post — for saving the generated newsletter draft Active accounts for: Dumpling AI (API for YouTube transcripts) OpenAI GPT-4 or GPT-4o Google Sheets Gmail (OAuth2 credential) 🔧 Setup steps Connect all credentials using n8n's Credential Manager: Google Sheets (OAuth2) Dumpling AI (via HTTP Header Auth) OpenAI Gmail Update the sheet ID and tab name in both Google Sheets nodes. Customize the GPT-4o prompt (optional): Located in the “GPT-4o: Write Newsletter Draft from Transcript” node You can edit tone, structure, and audience targeting in the system message Verify email recipient in the Gmail node and update if needed. 🧠 How it works The workflow is triggered manually or on schedule. It pulls YouTube links without drafts from the sheet. Each video’s transcript is fetched using Dumpling AI. GPT-4o summarizes the transcript into a clean, friendly newsletter format. The draft is written back to the same row in Google Sheets. An email is sent to notify the user that the draft is ready. 🛠️ Customization ideas Send finished drafts to Notion or Airtable instead of Sheets Generate social media posts from the same transcript Add automatic review steps using GPT scoring or editing Trigger this on new form submissions or YouTube uploads instead This is a fast, AI-powered way to turn long-form video content into clean, polished newsletters — ready to share or schedule with minimal editing.