Workflow Templates

The Ultimate Gmail Analysis and Visual Summarization Template This workflow showcases various useful Gmail search, filter, and AI categorization operations and generates a knowledge graph for your mail using the InfraNodus GraphRAG API, which you can use to reveal the main topics and blind spots in your correspondence. InfraNodus will then target those blind spots to generate interesting research questions for you and send the topical summary and insights via Telegram. You can also click the generated graph and explore the blind spots inside InfraNodus using the interactive visual interface: What is it useful for? Learn about advanced Gmail search, filtering, and AI categorization functions** that can be useful for your other workflows Analyze all your personal messages for the last week to get an overview of the main topics Analyze all your Sent messages to find recurrent topics and gaps and generate ideas based. on those gaps Generate ideas based on specific message filters (Personal, Promos, from a specific person, AI-defined criteria, e.g. urgency) Get an overview of an interaction with a specific person / company Get an overview of your notes Generate new ideas based on your correspondence on a certain topic (e.g. "business") Learn about various n8n nodes useful for email processing, filtering, and data conversion Never miss important topics, use AI filter to get notified of the urgent and important emails via Telegram How it works This template can be triggered in multiple ways: automatically in regular intervals (daily, weekly), manually in n8n, or via a private password-protected URL form where you can specify your search and filtering criteria When you start the workflow, you specify: your Gmail search filters (can be combined, e.g. after:2025/06/01 label:personal business to search for all emails received after 1 June 2025, filed in the Personal category containing the word "business". (optional, if empty, will retrieve all the emails or limited to the number you set in the Gmail node) Additional Gmail labels (e.g. SENT or CATEGORY_PERSONAL or your custom categories). Use the search filter for faster processing (e.g. prefer label:person to CATEGORY_PERSONAL, but labels can be useful for additional filtering for your search queries) (optional, if empty, will retrieve all the emails) AI filtering criteria** — set an additional classification criteria used to filter out the emails, e.g. "Only the urgent, personal emails" — in that case, AI classification node working with Google's Gemini AI will be activated and will only pass through the email based on the criteria you specify. Whether you want to build a text graph or a social graph — see the workflow for detailed explanation of each Use snippets of emails (default) or full text (for thorough analysis). We prefer snippets as it's faster and your graph context doesn't get biased towards longer emails this way. Once you set up your search parameters in Steps 1 and 2, the template will follow the following steps: Step 3 — retrieve Google emails that satisfy your filter criteria. Filter them by additional labels provided if applicable. Step 4 - if the user chooses to analyze full text, use additional Gmail node that retrieves the full text of the email message Step 5 — if AI filter rule is provided, use the AI Classifier node with Google Gemini Pro 2.5 model to classify the email based on the rule provided. Bypass if empty. Step 6 - format the text or the email snippets to add the sender meta-data and category and to prepare to submit to InfraNodus Step 7 - submit the data to the InfraNodus HTTP graphAndEntries endpoint and generate a knowledge graph Step 8 - access this graph via the graphAndAdvice endpoint) and generate a topical summary based on the GraphRAG representation and insight questions bridging the gaps identified. Send the results via a Telegram bot. We use Telegram, because it takes only 30 seconds to set up a bot with an API, unlike Discord or Slack, which is long and cumbersome to set up. You can also attach a Gmail send node and generate an email instead. How to use You need an InfraNodus GraphRAG API account and key to use this workflow. Create an InfraNodus account Get the API key at https://infranodus.com/api-access and create a Bearer authorization key for the InfraNodus HTTP nodes. Add this Authorization code in Steps 7 and 8 of the workflow. Come up with the name of the graph and change it in the HTTP InfraNodus nodes in the steps 7 and 8 and also in the Telegram nodes that send a link to the graph. For additional settings you can use in the HTTP InfraNodus nodes, see the InfraNodus access points page. Authorize your Gmail account for Steps 2 and 3 Gmail nodes. The easiest way to set it up is to open a free Google Console API account and to create an OAuth access point for n8n. You can then reuse it with other Google services like Google Sheets, Drive, etc. So it's a useful thing to have in general. Set up the Gemini AI API key using the instructions in the Step 5 Gemini AI node. Set up the Telegram node bot for the Step 8. It takes only 30 seconds: just go to @botfather and type in /newbot and you'll have an API key ready. To get the conversation ID, follow the n8n / Telegram instructions in the node itself. Once everything is ready, try to run the default automated workflow to test if everything works well, then use the Form for playing around with specific filters that you may find useful. Requirements An InfraNodus account and API key An Google Cloud API OAuth client and key for Gmail access A Gemini AI API key A Telegram bot API key FAQ 1. What's the best search query to use? I personally like starting with analyzing the messages Gmail tags as "personal" from the last week (using the after:2025/05/28 label:personal search query) using the social graph settings. It helps me see who I interacted with, what it was about, and gives me a good bird's eye view into my last week's interactions, helping me see if I didn't miss anything. I also find it useful to analyze the sent messages (using the after:2025/05/28 label:sent search filter or SENT category filter) as it helps me see what I was writing about recently and understand some recurrent topics and gaps in my interactions. Finally, I also like to analyze notes (label:notes) or specific correspondence (from:your_friend@gmail.com) to get an overview and find gaps in the conversations. 2. Why use InfraNodus and not an AI summarization module? You probably get a lot of spam, so your AI will get overwhelmed with the content that's not really useful. The InfraNodus graph helps you see the important patterns and discover what's missing by focusing on the gaps. You can use the interactive graph to quickly remove the stuff you don't need and to focus on the most relevant topics and conversations. Customizing this workflow You can connect a Gmail node instead of the Telegram one if you prefer to receive notifications directly by email. I don't like using Slack and Discord because their bots are too difficult to set up and take too long. Check out the complete setup guide for this workflow at https://support.noduslabs.com/hc/en-us/articles/20394884531996-Build-a-Knowledge-Graph-and-Extract-Insights-from-Gmail-Emails-with-n8n-and-InfraNodus with a video tutorial coming soon and the links to other n8n workflows. Check our other n8n workflows at https://n8n.io/creators/infranodus/ for useful content gap analysis, expert panel, and marketing, and research workflows that utilize GraphRAG for better AI generation. Finally, check out https://infranodus.com to learn more about our network analysis technology used to build knowledge graphs from text.

Generate AI videos with Seedance & Blotato, upload to TikTok, YouTube & Instagram Who is this for? This template is ideal for creators, content marketers, social media managers, and AI enthusiasts who want to automate the production of short-form, visually captivating videos for platforms like TikTok, YouTube Shorts, and Instagram Reels — all without manual editing or publishing. What problem is this workflow solving? Creating engaging videos requires: Generating creative ideas Writing detailed scene prompts Producing realistic video clips and sound effects Editing and stitching the final video Publishing across multiple platforms This workflow automates the entire process, saving hours of manual work and ensuring consistent, AI-driven content output ready for social distribution. What this workflow does This end-to-end AI video automation workflow: Generates a creative idea using OpenAI and LangChain Creates detailed video prompts with Seedance AI Generates video clips via Wavespeed AI Generates sound effects with Fal AI Stitches the final video using Fal AI’s ffmpeg API Logs metadata and video links to Google Sheets Uploads the video to Blotato Auto-publishes to TikTok, YouTube, Instagram, and other platforms Setup Add your OpenAI API key in the LLM nodes Set up Seedance and Wavespeed AI credentials for video prompt and clip generation Add your Fal AI API key for sound and stitching steps Connect your Google Sheets account for tracking ideas and outputs Set your Blotato API key and fill in the platform account IDs in the Assign Social Media IDs node Adjust the Schedule Trigger to control when the automation runs How to customize this workflow to your needs Change the AI prompts** to target your niche (e.g., ASMR, product videos, humor) Add a Telegram or Slack step** for video preview before publishing Tweak scene structure** or video duration to match your style Disable platforms** you don’t want by turning off specific HTTP Request nodes Edit the sound generation prompts** for different moods or effects 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube

🤖 AI-Powered RAG Chatbot with Google Drive Integration This workflow creates a powerful RAG (Retrieval-Augmented Generation) chatbot that can process, store, and interact with documents from Google Drive using Qdrant vector storage and Google's Gemini AI. How It Works Document Processing & Storage 📚 Retrieves documents from a specified Google Drive folder Processes and splits documents into manageable chunks Extracts metadata using AI for enhanced search capabilities Stores document vectors in Qdrant for efficient retrieval Intelligent Chat Interface 💬 Provides a conversational interface powered by Google Gemini Uses RAG to retrieve relevant context from stored documents Maintains chat history in Google Docs for reference Delivers accurate, context-aware responses Vector Store Management 🗄️ Features secure delete operations with human verification Includes Telegram notifications for important operations Maintains data integrity with proper version control Supports batch processing of documents Setup Steps Configure API Credentials: Set up Google Drive & Docs access Configure Gemini AI API Set up Qdrant vector store connection Add Telegram bot for notifications Add OpenAI Api Key to the 'Delete Qdrant Points by File ID' node Configure Document Sources: Set Google Drive folder ID Define Qdrant collection name Set up document processing parameters Test and Deploy: Verify document processing Test chat functionality Confirm vector store operations Check notification system This workflow is ideal for organizations needing to create intelligent chatbots that can access and understand large document repositories while maintaining context and providing accurate responses through RAG technology.

AI-Powered Lead Generation with Apollo, GPT-4, and Telegram to Database Overview This intelligent lead generation workflow transforms voice commands or text input into verified prospect lists through automated Apollo.io scraping. The system processes natural language requests, extracts search parameters using AI, and delivers clean, verified contact data directly to your database. Key Features 🎤 Voice & Text Input Processing Voice Recognition**: Converts audio messages to text using OpenAI's transcription API Natural Language Processing**: AI agent interprets requests and extracts search criteria Flexible Input**: Supports both voice commands and text messages 🔍 Smart Lead Scraping Apollo.io Integration**: Automated scraping using official Apollo.io API Dynamic URL Generation**: Builds search URLs based on extracted parameters Intelligent Parsing**: Processes location, industry, and job title criteria ✅ Email Verification & Filtering Verified Emails Only**: Filters results to include only verified email addresses Duplicate Prevention**: Compares against existing database to avoid duplicates Data Quality Control**: Ensures high-quality prospect data 📊 Automated Data Management Database Integration**: Automatic storage in PostgreSQL/Supabase Structured Data**: Organizes contacts with complete profile information Real-time Updates**: Instant database updates with new prospects How It Works Input Processing: Receive voice message or text command AI Analysis: Extract search parameters (location, industry, job titles) URL Construction: Build Apollo.io search URL with extracted criteria Data Scraping: Retrieve prospect data via Apollo.io API Email Verification: Filter for verified email addresses only Duplicate Check: Compare against existing database records Data Storage: Save new prospects to database Confirmation: Send success notification with count of new leads Supported Search Parameters Location**: City, state, country combinations Industry**: Business sectors and verticals Job Titles**: Executive roles, departments, seniority levels Company Size**: Organization scale and employee count Data Fields Extracted Contact Information First Name & Last Name Email Address (verified only) LinkedIn Profile URL Phone Number (when available) Professional Details Current Job Title Company Name Industry Seniority Level Employment History Location Data City & State Country Full Location String Company Information Website URL Business Industry Organization Details Technical Architecture Core Components n8n Workflow Engine**: Orchestrates the entire process OpenAI Integration**: Powers voice transcription and AI analysis Apollo.io API**: Source for prospect data PostgreSQL/Supabase**: Database storage and management API Integrations OpenAI Whisper API for voice transcription OpenAI GPT for natural language processing Apollo.io API for lead data retrieval Supabase API for database operations Use Cases Sales Teams Quickly build prospect lists for outreach campaigns Target specific industries or job roles Maintain clean, verified contact databases Marketing Professionals Generate targeted lead lists for campaigns Research prospects in specific markets Build comprehensive contact databases Business Development Identify potential partners or clients Research competitive landscapes Generate contact lists for networking Recruitment Find candidates in specific locations Target particular job roles or industries Build talent pipeline databases Benefits ⚡ Speed & Efficiency Voice commands for instant lead generation Automated processing eliminates manual work Batch processing for large prospect lists 🎯 Precision Targeting AI-powered parameter extraction Flexible search criteria combinations Industry and role-specific filtering 📈 Data Quality Verified email addresses only Duplicate prevention Structured, consistent data format 🔄 Automation End-to-end automated workflow Real-time database updates Instant confirmation notifications Setup Requirements Prerequisites n8n workflow platform OpenAI API access Apollo.io API credentials PostgreSQL or Supabase database Messaging platform integration Configuration Steps Import workflow into n8n Configure API credentials Set up database connections Customize search parameters Test with sample voice/text input Customization Options Search Parameters Modify location formats Add custom industry categories Adjust job title variations Set result limits Data Processing Customize field mappings Add data validation rules Implement additional filters Configure output formats Integration Options Connect to CRM systems Add email marketing tools Integrate with sales platforms Export to various formats Success Metrics Processing Speed**: Voice-to-database in under 30 seconds Data Accuracy**: 95%+ verified email addresses Automation Level**: 100% hands-free operation Scalability**: Process 500+ leads per request Transform your lead generation process with intelligent automation that understands natural language and delivers verified prospects directly to your database.

Empower Your AI Chatbot with Long-Term Memory and Dynamic Tool Routing This n8n workflow equips your AI agent with long-term memory and a dynamic tools router, enabling it to provide intelligent, context-aware responses while managing tasks across multiple tools. By combining persistent memory and modular task routing, this workflow makes your AI smarter, more efficient, and highly adaptable. 👥 Who Is This For? AI Developers & Automation Enthusiasts: Integrate advanced AI features like long-term memory and task routing without coding expertise. Businesses & Teams: Automate tasks while maintaining personalized, context-aware interactions. Customer Support Teams: Improve user experience with chatbots that remember past interactions. Marketers & Content Creators: Streamline communication across platforms like Gmail and Telegram. AI Researchers: Experiment with persistent memory and multi-tool integration. 🚀 What Problem Does This Solve? This workflow simplifies the creation of intelligent AI systems that retain memory, manage tasks dynamically, and automate notifications across tools like Gmail and Telegram—saving time and improving efficiency. 🛠️ What This Workflow Does Save & Retrieve Memories**: Uses Google Docs for long-term storage to recall past interactions or user preferences. Dynamic Task Routing**: Routes tasks to the right tools (e.g., saving/retrieving memories or sending notifications). AI-Powered Context Understanding**: Combines OpenAI GPT-based short-term memory with long-term memory for smarter responses. Multi-Channel Notifications**: Sends updates via Gmail or Telegram. 🔧 Setup API Credentials: Connect to OpenAI (AI processing), Google Docs (memory storage), Gmail/Telegram (notifications). Customize Parameters: Adjust the AI agent's system message for your use case. Define task-routing rules in the tools router node. Test & Deploy: Verify memory saving/retrieval, task routing, and notification delivery. 💡 How to Customize Modify the system message in the OpenAI node to tailor your agent’s behavior. Add or adjust routing rules for additional tools. Update notification settings to match your communication preferences.

This workflow sends new Mailchimp subscribers to HubSpot as new or updated contacts. Prerequisites Mailchimp account and Mailchimp credentials HubSpot account and HubSpot credentials How it works Cron node triggers this workflow every day at 7:00. Mailchimp node searches for new subscribers. New Mailchimp subscribes get sent to HubSpot. HubSpot node either updates the existing contact or adds a new one to the pipeline.

Who is this for? Public-facing professionals (developer advocates, founders, marketers, content creators) who get bombarded with LinkedIn messages that aren't actually for them - support requests when you're in marketing, sales inquiries when you're a devrel, partnership pitches when you handle content, etc. What problem is this workflow solving? When you're visible online, people assume you handle everything at your company. You end up spending hours daily playing human router, forwarding messages like "How do I reset my password?" or "What's your enterprise pricing?" to the right teams. This LinkedIn automation workflow stops you from being your company's unofficial customer service representative. What this workflow does This AI-powered LinkedIn DM management workflow automatically assesses incoming LinkedIn messages and routes them intelligently: Automated Message Assessment: Receives inbound LinkedIn messages via UniPile and looks up sender details from both personal and company LinkedIn profiles. Smart Route Matching: Compares the message content against your message routing workflow table in Notion, which contains: Question: "How can I become an n8n ambassador?" Description: "Route here when a user is requesting to become an n8n ambassador. Also when they're asking how they could do more to evangelize n8n in their city, or to start organizing n8n meetups and events in their city." Action: "Tell the user to open the following notion page which has details on ambassador program including how to apply, as well as perks of the program: https://www.notion.so/n8n-Ambassador-Program-d883b2a130e5448faedbebe5139187ea?pvs=21" AI Response Generation: When a message matches an existing route, this AI assistant generates a personalized response draft based on the "Action" instructions from your routing table. Human-in-the-Loop Approval: Sends the draft response to Slack with approve/reject buttons, so you maintain control while saving time. Draft can be edited from within Slack on desktop and mobile. Automated LinkedIn Responses: Once approved, sends the reply back via LinkedIn and marks the original message as handled. The result: You stop being a human switchboard and can focus on your actual job while people still get helpful, timely responses through automated customer service. You can also add routes for things you do handle but get asked about daily (like 'How do I join your beta?' or 'What's your content strategy?') to standardize your responses. Setup Sign up for a UniPile account and create a webhook under the Messaging section Set the callback URL to this workflow's production URL Generate a UniPile API key with all required scopes and store it in your n8n credentials Create a Slack app and enable interactive message buttons and webhooks Here is a slack App manifest template for easy deployment in slack: { "display_information": { "name": "Request Router", "description": "A bot that alerts when a new linkedin question comes in.", "background_color": "#12575e" }, "features": { "bot_user": { "display_name": "Request Router", "always_online": false } }, "oauth_config": { "scopes": { "bot": [ "chat:write", "chat:write.customize", "chat:write.public", "links:write", "im:history", "im:read", "im:write" ] } }, "settings": { "interactivity": { "is_enabled": true, "request_url": "Your webhook url here" }, "org_deploy_enabled": false, "socket_mode_enabled": false, "token_rotation_enabled": false } } Set up your Notion database with the three-column structure (Question, Description, Action) Configure the AI node with your preferred provider (OpenAI, Gemini, Ollama etc) Replace placeholder LinkedIn user and organization IDs with your own How to customize this workflow to your needs Database Options**: Swap Notion with Google Sheets, Airtable, or another database Filtering Logic**: Add custom filters based on keywords, message length, follower count, or business logic AI Customization**: Adjust the system prompt to match your brand tone and response goals Approval Platform**: Replace Slack with email, Discord, or another review platform Team Routing**: Use Slack metadata to route approvals to specific team members based on message category Enrichment**: Add secondary data enrichment using tools like Clearbit or FullContact Response Rules**: Create conditional logic for different response types based on sender profile or message content Perfect for anyone who's tired of being their company's accidental customer service department while trying to do their real job. This LinkedIn automation template was inspired by a live build done by Max Tkacz and Angel Menendez for The Studio.

🟡 DESCRIPTION This n8n workflow automates the daily generation of comprehensive analytics reports from multiple websites, processes them using OpenAI's powerful language models, and then delivers the insights directly to your email and Slack channels. Designed for digital marketers, website administrators, and data analysts, this template streamlines the tedious process of manually collecting and interpreting website performance data, offering immediate, actionable intelligence. The core problem this workflow solves is the fragmentation and manual effort involved in monitoring numerous website analytics. Instead of logging into multiple Google Analytics accounts or properties daily, this workflow centralizes data extraction, enriches it with AI-powered summaries, and distributes it to your preferred communication platforms. This significantly reduces the time spent on routine reporting, allowing you to focus on strategy and decision-making. Users who would benefit most from this template include: Digital Marketing Agencies: Efficiently generate and share client reports across multiple properties. E-commerce Businesses: Monitor performance of various product sites or regional domains. Content Creators: Track the success of different blogs or content platforms. Anyone managing a portfolio of websites: Gain a unified view of their digital assets' performance. 🟡 SETUP Before importing and running this workflow, ensure you have the following prerequisites in place: ► Google Analytics API Setup: Go to the Google Cloud Console (https://console.cloud.google.com/). Create a new project or select an existing one. Navigate to "APIs & Services" > "Enabled APIs & services." Search for and enable the "Google Analytics Data API" (for GA4) or "Google Analytics Reporting API" (for Universal Analytics, if still in use). Go to "APIs & Services" > "Credentials." Create "OAuth client ID" credentials for a "Web application." Copy your client ID and client secret. In n8n, add a new Google Analytics credential using the "OAuth2" authentication method. Provide the Client ID and Client Secret. You will need to authorize n8n to access your Google Analytics data. Scopes https://www.googleapis.com/auth/analytics.readonly (read-only) or https://www.googleapis.com/auth/analytics (manage) OAuth Redirect URL Already pre-filled by n8n (copy this when creating the Google client) Click Sign in with Google, choose the GA account, and approve the requested scopes. Click Save – n8n tests the token and stores it encrypted. For each yourwebsite.com node, select these credentials and specify the correct Google Analytics View ID (for Universal Analytics) or Property ID (for GA4). ► Email Credentials (SMTP): In n8n, add a new SMTP credential. Provide your SMTP host, port, username, and password. This will be used to send the aggregated reports. ► Slack Credentials: In n8n, add a new Slack credential. Follow the instructions to create a Slack App and generate a Bot User OAuth Token. This token will allow n8n to post messages to your Slack channels. ► OpenAI Credentials: Sign up for an OpenAI account (https://platform.openai.com/). Generate an API Key from your account dashboard. In n8n, add a new OpenAI credential and paste your API Key. ► Website Configuration: The workflow currently includes nodes for yourwebsite.com (1 to 8). For each "Get Report" node (e.g., yourwebsite.com, yourwebsite.com 2, etc.), duplicate or remove them as needed to match the number of Google Analytics properties you wish to monitor. Replace the names and number of websites inside the report maker agent. 🟡 Usage Once you have configured the credentials, you can customize the workflow to fit your specific needs, including leveraging various alternative nodes for sending notifications and reports. This flexibility allows you to integrate seamlessly with your preferred communication tools such as Gmail, Telegram, Outlook, or any other service supported by n8n's extensive node library.

Automatically create Google Tasks from new Gmail emails labeled "To-Do". Who is this for? This template is perfect for individuals and teams who want to boost their productivity by automatically converting important emails into actionable tasks in Google Tasks. What problem is this workflow solving? Manually managing emails and creating tasks can be tedious. This workflow ensures you never miss a follow-up by instantly turning important emails into tasks without switching between apps. What this workflow does? Watches for new emails in Gmail with the label "To-Do". Creates a new Google Task with the email subject as the task title and the email snippet as notes. Sets the task due date to 24 hours after the email is received. Setup Create a label "To-Do" in your Gmail account if it doesn't already exist. Connect your Gmail and Google Tasks accounts to n8n using OAuth2 credentials. Import the workflow into n8n and activate it. How to customize this workflow to your needs? Change the Gmail label to a different one (e.g., "Important", "Follow-up"). Modify the due date logic in the expression if you want more/less time to complete tasks: {{ $now.add(2, 'days').toISOString() }} Add additional Gmail filters (like only unread emails) to refine which emails create tasks.

Automate your email management with this workflow, designed for freelancers and business professionals who receive high volumes of emails. By leveraging AI-powered categorisation and dynamic email processing, this template helps you organise your inbox and streamline communication for better efficiency and productivity. Check out the YouTube video for step-by-step set up instructions! How it works: Fetch & Filter Emails: The workflow retrieves emails from your Microsoft Outlook account, filtering out flagged emails and those already categorised. Content Preparation: Each email is cleaned up and converted to a structured format using Markdown, making it easier for AI processing. AI Categorization: The content is analysed using an AI model, which categorises the emails into predefined categories (e.g., Action, Junk, Business, SaaS) based on the context and content. Email Categorization & Folder Management: The categorised emails are updated in Microsoft Outlook and moved to respective folders such as "Junk Email" or "Receipts" based on the AI's classification. Conditional Processing & Final Checks: Additional checks and conditions ensure that only unread emails are processed, and errors are gracefully managed to maintain workflow stability. Set up steps: Connect Microsoft Outlook: Link your Microsoft Outlook account using the built-in credentials node to enable email fetching, updating, and folder management. Configure AI Model (Ollama API): Set up the AI model by connecting to the Ollama API and choosing your desired language model for categorisation. Modify Email Categories (Optional): Customize the categories and subcategories within the workflow to suit your unique email management needs. Set Up Error Handling: Review the error handling node settings to ensure smooth workflow execution. This template offers a robust solution for managing and organising your inbox, helping you save time and keep your focus on important emails.

This workflow automates the process of gathering LinkedIn advice articles, extracting their content, and generating unique contributions for each article using an AI model. The contributions are then posted to a Slack channel and a NocoDB database for record-keeping. The workflow is triggered weekly to ensure new articles are continuously collected and responded to. Who is this for? This workflow is designed for professionals, marketers, and content creators looking to boost their LinkedIn presence by regularly engaging with LinkedIn advice articles. It’s especially useful for those who want to be seen as a "thought leader" or "top voice" in their niche by contributing relevant and unique advice to trending topics. What problem is this workflow solving? Manually searching for relevant LinkedIn articles, reading through them, and crafting thoughtful contributions can be time-consuming. This workflow solves that by automating the process of finding new articles, extracting key content, and generating AI-powered contributions. It helps users stay consistently active on LinkedIn, contributing value to trending discussions. What this workflow does Triggers Weekly: The workflow is set to run every Monday at 8:00 AM. Search Google for LinkedIn Advice Articles: Uses a predefined Google search URL to find the latest LinkedIn advice articles based on the user's area of expertise. Extract LinkedIn Article Links: A code node extracts all LinkedIn advice article links from the search results. Retrieve Article Content: For each article link, the workflow retrieves the HTML content and extracts the article title, topics, and existing contributions. Generate AI-Powered Contributions: The workflow sends the extracted article content to an AI model, which generates unique, helpful advice for each topic within the article. Post to Slack & NocoDB: The AI-generated contributions, along with the article links, are posted to a designated Slack channel and stored in a NocoDB database for future reference. Setup Google Search URL: Update the Google search URL with the relevant LinkedIn advice query for your field (e.g., "site:linkedin.com/advice 'marketing automation'"). Slack Integration: Connect your Slack account and specify the Slack channel where you want the contributions to be posted. NocoDB Integration: Set up your NocoDB project to store the generated contributions along with the article titles and links. How to customize this workflow Change Search Terms**: Modify the Google search URL to focus on a different LinkedIn topic or expertise area. Adjust Trigger Frequency**: The workflow is set to run weekly, but you can adjust the frequency by changing the schedule trigger. Enhance Contribution Quality**: Customize the AI model's prompt to generate contributions that align with your brand voice or content strategy. Workflow Summary This workflow helps users maintain a consistent presence on LinkedIn by automating the discovery of new advice articles and generating unique contributions using AI. It is ideal for professionals who want to engage with LinkedIn content regularly without spending too much time manually searching and drafting responses.

Nova AI Content Marketing Agent - LinkedIn & Facebook Automation This n8n template demonstrates how to create a complete AI-powered social media content creation and scheduling system that generates platform-optimized posts for LinkedIn and Facebook with custom images and human approval workflows. Possible use cases: Generate a full week of social media content from a single brand brief Create platform-specific content that maintains brand voice consistency Automate image generation with AI while maintaining quality control Schedule approved content across multiple social platforms Track and organize all content in centralized spreadsheets How it works The automation starts with a form submission collecting 10 brand variables (name, industry, demographics, etc.) Nova AI Agent analyzes the brand information and generates 6 distinct social media posts (3 LinkedIn professional, 3 Facebook community-focused) Content is split by platform and routed to separate image generation workflows Google Imagen 4 Ultra creates custom visuals for each post with platform-specific aspect ratios Each generated image is sent to Slack for human approval via interactive forms If feedback is provided, NanoBanana AI edits the image based on natural language instructions Approved images are uploaded to Google Drive with organized naming conventions All content data is logged to Google Sheets with image URLs and scheduling information Final posts are scheduled via Late API to respective social platforms The workflow loops through each post individually for quality control Requirements OpenRouter API credentials for GPT-5 Mini access Replicate API key for Google Imagen 4 Ultra and NanoBanana Slack OAuth2 credentials with bot permissions Google Drive OAuth2 credentials Google Sheets API access GetLate API key connected to LinkedIn and Facebook accounts Perplexity API for research enhancement (optional) HOW TO USE STEP 1 - Setup Form and Brand Variables Configure the Form Trigger webhook URL for brand data collection Update the 10 form fields with your specific industry placeholders Test the form submission to ensure data flows correctly STEP 2 - Configure AI Services Add your OpenRouter API credentials to both Chat Model nodes Add your Replicate API key to the HTTP Header Auth credential Configure Perplexity API credentials for research functionality Set up custom session keys for memory management STEP 3 - Setup Approval Workflow Add Slack OAuth2 credentials to both "Send message and wait" nodes Update the Slack channel ID to your preferred approval channel Configure the custom form fields for approval/feedback collection STEP 4 - Configure Storage and Scheduling Add Google Drive OAuth2 credentials and update the target folder ID Add Google Sheets credentials and update the spreadsheet ID Get your Late API key from getlate.dev and add to HTTP Header Auth Update the Late accountId in both Schedule Post nodes with your platform IDs STEP 5 - Customize Content Strategy Modify the Nova system prompt to match your brand voice requirements Adjust the visual style requirements in the AI Agent configuration Update posting date logic and timezone settings as needed Test the complete workflow with sample brand data