Workflow Templates

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Transform email overload into actionable insights with this automated daily digest workflow that intelligently summarizes categorized emails using AI. Who's it for This workflow is perfect for busy professionals, content creators, and newsletter subscribers who need to stay informed without spending hours reading through multiple emails. Whether you're tracking industry news, monitoring competitor updates, or managing content subscriptions, this automation helps you extract key insights efficiently. How it works The workflow runs automatically each morning at 9 AM, fetching emails from a specific Gmail label received in the last 24 hours. Each email is processed through OpenAI's language model using LangChain to create concise, readable summaries that preserve important links and formatting. All summaries are then combined into a single, well-formatted digest email and sent to your inbox, replacing dozens of individual emails with one comprehensive overview. How to set up Create a Gmail label for emails you want summarized (e.g., "Tech News", "Industry Updates") Configure credentials for both Gmail OAuth2 and OpenAI API in their respective nodes Update the Gmail label ID in the "Get mails (last 24h)" node with your specific label Set your email address in the "Send Digested mail" node Adjust the schedule in the Schedule Trigger if you prefer a different time than 9 AM Test the workflow with a few labeled emails to ensure proper formatting Requirements Gmail account with OAuth2 authentication configured OpenAI API account and valid API key At least one Gmail label set up for email categorization Basic understanding of n8n workflow execution How to customize the workflow Change summarization style: Modify the prompt in the "Summarization Mails" node to adjust tone, length, or format of summaries. You can make summaries more technical, casual, or focus on specific aspects like action items. Adjust time range: Change the receivedAfter parameter in the Gmail node to fetch emails from different time periods (last 2 days, last week, etc.). Multiple labels: Duplicate the Gmail retrieval section to process multiple labels and combine them into categories within your digest. Add filtering: Insert additional conditions to filter emails by sender, subject keywords, or other criteria before summarization. Custom formatting: Modify the "Combine Subject and Body" code node to change the HTML structure, add styling, or include additional metadata like email timestamps or priority indicators.

This n8n template demonstrates how to automate YouTube content repurposing using AI. Upload a video to Google Drive and automatically generate transcriptions, A/B testable titles, AI thumbnails, short-form clips with captions, and YouTube descriptions with chapter timestamps. Use cases include: Content creators who publish 1-2 long-form videos per week and need to extract 5-10 short-form clips, YouTube agencies managing multiple channels, or automation consultants building content systems for clients. Good to know Processing time is approximately 10-15 minutes per video depending on length Cost per video is roughly $1.00 (transcription $0.65, AI generation $0.35) YouTube captions take 10-60 minutes to generate after upload - the workflow includes automatic polling to check when captions are ready Manual steps still required: video clipping (using provided timestamps), social media posting, and YouTube A/B test setup How it works When a video is uploaded to Google Drive, the workflow automatically triggers and creates an Airtable record The video URL is sent to AssemblyAI (via Apify) for transcription with H:MM:SS.mmm timestamps GPT-4o-mini analyzes the transcript and generates 3 title variations optimized for A/B testing When you click "Generate thumbnail" in Airtable, your prompt is optimized and sent to Kie.ai's Nano Banana Pro model with 2 reference images for consistent branding After uploading to YouTube, the workflow polls YouTube's API every 5 minutes to check if auto-generated captions are ready Once captions are available, click "Generate clips" and Grok 4.1 Fast analyzes the transcript to identify 3-8 elite clips (45+ seconds each) with proper start/end boundaries and action-oriented captions GPT-4o-mini generates a YouTube description with chapter timestamps based on the transcript All outputs are saved to Airtable: titles, thumbnail, clip timestamps with captions, and description How to use Duplicate the provided Airtable base template and connect it to your n8n instance Create a Google Drive folder for uploading edited videos After activating the workflow, copy webhook URLs and paste them into Airtable button formulas and automations Upload your edited video to the designated Google Drive folder to trigger the system The workflow automatically generates titles and begins transcription Add your thumbnail prompt and 2 reference images to Airtable, then click "Generate thumbnail" Upload the video to YouTube as unlisted, paste the video ID into Airtable, and check the box to trigger clip generation Use the provided timestamps to manually clip videos in your editor Copy titles, thumbnail, clips, and description from Airtable to publish across platforms Requirements Airtable account (Pro plan recommended for automations) Google Drive for video upload monitoring Apify account for video transcription via AssemblyAI actor OpenAI API key for title and description generation (GPT-4o-mini) OpenRouter API key for clip identification (Grok 4.1 Fast) Kie.ai account for AI thumbnail generation (Nano Banana Pro model) YouTube Data API credentials for caption polling Customising this workflow Tailor the system prompts to your content niche by asking Claude to adjust them without changing the core structure Modify the clip identification criteria (length, caption style, number of clips) in the Grok prompt Adjust thumbnail generation style by updating the image prompt optimizer Add custom fields to Airtable for tracking performance metrics or additional metadata Integrate with additional platforms like TikTok or Instagram APIs for automated posting

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Automated Research Reports with AI and Tavily Search An intelligent research automation workflow designed for Japanese users that transforms user queries into comprehensive HTML reports via email. Using Google Gemini AI and Tavily search, this workflow generates optimized search queries, conducts multi-perspective research, and delivers structured analysis reports in Japanese. Who's it for Content creators, researchers, analysts, and businesses in Japan who need comprehensive research reports on various topics without manual information gathering. Particularly valuable for Japanese professionals conducting competitive analysis, market research, and technical comparisons who prefer reports in their native language. How it works The workflow follows a strategic four-step process: Query Optimization: Google Gemini AI analyzes user input and generates three optimized search queries for comprehensive coverage Multi-Query Research: Tavily's advanced search executes all queries with deep search parameters and AI-generated answers Report Synthesis: Another Gemini AI model consolidates findings, eliminates duplicates, and structures information into readable HTML format Email Delivery: Gmail automatically sends the final HTML report to specified recipients Requirements Google Gemini API credentials (for three separate AI nodes) Tavily API credentials for advanced search functionality Gmail authentication for email delivery Basic n8n workflow execution permissions How to set up Configure API credentials in all Google Gemini and Tavily nodes Update email settings in the "Send a message" node with your recipient address Customize your query in the "Edit Fields" node (default: "n8nとdifyの違い") Test the workflow to ensure all connections work properly How to customize the workflow Research depth: Increase max_results in Tavily search for more comprehensive data gathering. Query optimization: Modify system prompts in the Query Generator for domain-specific searches. Report format: Adjust the Report Agent's system message to change output structure, language, or focus areas. Multi-recipient delivery: Duplicate the Gmail node for multiple email destinations. The workflow processes Japanese and English queries effectively, with built-in support for Japanese language output, making it ideal for Japanese professionals who need multilingual research capabilities. Advanced search parameters ensure high-quality, relevant results for professional research applications.

This n8n template demonstrates a simple approach to using AI to automate the generation of blog content which aligns to your organisation's brand voice and style by using examples of previously published articles. In a way, it's quick and dirty "training" which can get your automated content generation strategy up and running for very little effort and cost whilst you evaluate our AI content pipeline. How it works In this demonstration, the n8n.io blog is used as the source of existing published content and 5 of the latest articles are imported via the HTTP node. The HTML node is extract the article bodies which are then converted to markdown for our LLMs. We use LLM nodes to (1) understand the article structure and writing style and (2) identify the brand voice characteristics used in the posts. These are then used as guidelines in our final LLM node when generating new articles. Finally, a draft is saved to Wordpress for human editors to review or use as starting point for their own articles. How to use Update Step 1 to fetch data from your desired blog or change to fetch existing content in a different way. Update Step 5 to provide your new article instruction. For optimal output, theme topics relevant to your brand. Requirements A source of text-heavy content is required to accurately breakdown the brand voice and article style. Don't have your own? Maybe try your competitors? OpenAI for LLM - though I recommend exploring other models which may give subjectively better results. Wordpress for blog but feel free to use other preferred publishing platforms. Customising this workflow Ideally, you'd want to "train" your agent on material which is similar to your output ie. your social media post may not get the best results from your blog content due to differing formats. Typically, this brand voice extraction exercise should run once and then be cached somewhere for reuse later. This would save on generation time and overall cost of the workflow.

Transform chaotic support requests into organized, actionable insights automatically. This intelligent workflow captures support tickets from forms, uses AI to categorize and analyze sentiment, stores everything in organized databases, and delivers comprehensive analytics reports to your team - eliminating manual sorting while providing valuable business intelligence. 🚀 What It Does Intelligent Ticket Processing: Automatically categorizes incoming support requests into Billing, Bug Reports, Feature Requests, How-To questions, and Complaints using advanced AI analysis. Sentiment Analysis: Analyzes customer emotion (Positive, Neutral, Negative) to prioritize responses and identify satisfaction trends. Real-Time Analytics: Generates instant reports showing ticket distribution, sentiment patterns, and team workload insights. Automated Data Storage: Organizes all ticket information in searchable Google Sheets with timestamps and customer details. Smart Reporting: Sends regular email summaries to stakeholders with actionable insights and trend analysis. 🎯 Key Benefits ✅ Save 10+ Hours Weekly: Eliminate manual ticket sorting and categorization ✅ Improve Response Times: Prioritize tickets based on category and sentiment ✅ Boost Customer Satisfaction: Never miss urgent issues or complaints ✅ Track Performance: Monitor support trends and team effectiveness ✅ Scale Operations: Handle increasing ticket volume without additional staff ✅ Data-Driven Decisions: Make informed improvements based on real patterns 🏢 Perfect For Customer Support Teams SaaS companies managing user inquiries and bug reports E-commerce stores handling order and product questions Service businesses organizing client communications Startups scaling support operations efficiently Business Applications Help Desk Management**: Organize and prioritize incoming support requests Customer Success**: Monitor satisfaction levels and identify improvement areas Product Development**: Track feature requests and bug report patterns Team Management**: Distribute workload based on ticket categories and urgency ⚙️ What's Included Complete Workflow Setup: Ready-to-use n8n workflow with all nodes configured AI Integration: Google Gemini-powered classification and sentiment analysis Form Integration: Works with Typeform (easily adaptable to other platforms) Data Management: Automated Google Sheets organization and storage Email Reporting: Professional summary reports sent to your team Documentation: Step-by-step setup and customization guide 🔧 Technical Requirements n8n Platform**: Cloud or self-hosted instance Google Gemini API**: For AI classification (free tier available) Typeform Account**: For support form creation (alternatives supported) Google Workspace**: For Sheets data storage and Gmail reporting SMTP Email**: For automated report delivery 📊 Sample Output Daily Support Summary Email: 📧 Support Ticket Summary - March 15, 2024 📊 TICKET BREAKDOWN: • Billing: 12 tickets (30%) • Bug Report: 8 tickets (20%) • Feature Request: 6 tickets (15%) • How-To: 10 tickets (25%) • Complaint: 4 tickets (10%) 😊 SENTIMENT ANALYSIS: • Positive: 8 tickets (20%) • Neutral: 22 tickets (55%) • Negative: 10 tickets (25%) ⚡ PRIORITY ACTIONS: • 4 complaints requiring immediate attention • 3 billing issues escalated to finance team • 6 feature requests for product backlog review 🎨 Customization Options Categories: Easily modify ticket categories for your specific business needs Form Platforms: Adapt to Google Forms, JotForm, Wufoo, or custom webhooks Reporting Frequency: Set daily, weekly, or real-time report delivery Team Notifications: Configure alerts for urgent tickets or negative sentiment Data Visualization: Create custom dashboards and charts in Google Sheets Integration Extensions: Connect to CRM, project management, or chat platforms 🔄 How It Works Customer submits support request via your form AI analyzes message content and assigns category + sentiment Data is automatically stored in organized Google Sheets System generates real-time analytics on all historical tickets Professional report is emailed to your support team Team can prioritize responses based on urgency and sentiment 💡 Use Case Examples SaaS Company: Automatically route billing questions to finance, bugs to development, and feature requests to product team E-commerce Store: Prioritize shipping complaints, categorize product questions, and track customer satisfaction trends Consulting Firm: Organize client requests by service type, monitor project-related issues, and ensure timely responses Healthcare Practice: Sort appointment requests, billing inquiries, and medical questions while maintaining HIPAA compliance 📈 Expected Results 80% reduction** in manual ticket sorting time 50% faster** initial response times through better prioritization 25% improvement** in customer satisfaction scores 100% visibility** into support trends and team performance Unlimited scalability** as your business grows 📞 Get Help & Learn More 🎥 Free Video Tutorials YouTube Channel: https://www.youtube.com/@YaronBeen/videos 💼 Professional Support LinkedIn: https://www.linkedin.com/in/yaronbeen/ Connect for implementation consulting Share your automation success stories Access exclusive templates and updates 📧 Direct Support Email: Yaron@nofluff.online Technical setup assistance Custom workflow modifications Integration with existing systems Response within 24 hours 🏆 Why Choose This Workflow Proven Results: Successfully deployed across 100+ businesses worldwide Expert Created: Built by automation specialist with 10+ years experience Continuously Updated: Regular improvements and new features added Money-Back Guarantee: Full refund if not satisfied within 30 days Lifetime Support: Ongoing help and updates included with purchase

Who’s it for 👥 This template is perfect for content creators, marketers, and researchers managing WeChat public account articles! 🚀 It’s ideal for n8n newcomers or anyone wanting to save time on manual content analysis, especially if you use Google Sheets for tracking. 📊 Whether you’re into AI, 欧阳良宜, or automation, this is for you! 😄 How it works / What it does 🔧 This workflow automates the retrieval, filtering, classification, and summarization of WeChat articles. 🌐 It reads RSS feed links from a Google Sheet, filters articles from the last 10 days ⏳, cleans HTML content 🧹, classifies them as relevant or not 🎯, generates insightful Chinese summaries with AI 🤖, and saves results to Google Sheets and Notion. 📝 Outputs are Slack-formatted for team collaboration! 💬 How to set up 🛠️ Prepare Google Sheets: Use your own documentId (replace the example) and set up sheets "Save Initial Links" (gid=198451233) and "Save Processed Data" (gid=1936091950). 📋 Configure Credentials: Add Google Sheets and OpenAI API credentials—avoid hardcoding keys! 🔐 Set RSS Feed: Update the rss_feed_url in the "RSS Read" node with your WeChat RSS feed. 🌐 Customize AI: Tweak "Relevance Classification" and "Basic LLM Chain" prompts for your topics (e.g., 欧阳良宜, AI). 🎨 Notion (Optional): Swap the databaseId (e.g., 22e79d55-2675-8055-a143-d55302c3c1b1) with your own. 📚 Run Workflow: Trigger manually via the "When clicking ‘Execute workflow’" node. 🚀 Requirements ✅ n8n account with Google Sheets and OpenAI integrations. Access to a WeChat public account RSS feed. Basic JSON and node config knowledge. How to customize the workflow 🎛️ Topic Adjustment: Update categories in "Relevance Classification" for new topics (e.g., "technology", "education"). 🌱 Summary Length: Modify the LLM prompt in "Basic LLM Chain" to adjust length or style. ✂️ Output Destination: Add Slack or Email nodes for more outputs. 📩 Date Filter: Change the "IF (Filter by Date)" condition (e.g., 7 days instead of 10). ⏰ Scalability: Use a "Schedule Trigger" node for automation. ⏳

This n8n template provides a powerful AI-powered chatbot that acts as your personal Spotify DJ. Simply tell the chatbot what kind of music you're in the mood for, and it will intelligently create a custom playlist, give it a fitting name, and populate it with relevant tracks directly in your Spotify account. The workflow is built to be flexible, allowing you to easily change the underlying AI model to your preferred provider, making it a versatile starting point for any AI-driven project. Who is this for? Music lovers:** Instantly create playlists for any activity, mood, or genre without interrupting your flow. Developers & AI enthusiasts:** A perfect starting point to understand how to build a functional AI Agent that uses tools to interact with external services. Automation experts:** See a practical example of how to chain AI actions and sub-workflows for more complex, stateful automations. What problem does this solve? Manually creating a good playlist is time-consuming. You have to think of a name, search for individual songs, and add them one by one. This workflow solves that by: Automating playlist creation:** Turns a simple natural language request (e.g., "I need a playlist for my morning run") into a fully-formed Spotify playlist. Reducing manual effort:** Eliminates the tedious task of searching for and adding multiple tracks. Providing player control:** Allows you to manage your Spotify player (play, pause, next) directly from the chat interface. Centralizing music management:** Acts as a single point of control for both creating playlists and managing playback. How it works Trigger & input: The workflow starts when you send a message in the Chat Trigger interface. AI agent & tool-use: An AI Agent, powered by a Large Language Model (LLM), interprets your message. It has access to a set of "tools" that allow it to interact with Spotify. Playlist creation sub-workflow: If you ask for a new playlist, the Agent calls a sub-workflow using the Create new playlist tool. This sub-workflow uses another AI call to brainstorm a creative playlist name and a list of suitable songs based on your request. Spotify actions: The sub-workflow then connects to Spotify to: Create a new, empty playlist with the generated name. Search for each song from the AI's list to get its official Spotify Track ID. Add each track to the new playlist. Player control: If your request is to control the music (e.g., "pause the music"), the Agent uses the appropriate tool (Pause player, Resume player, etc.) to directly control your active Spotify player. Setup Accounts & API keys: You will need active accounts and credentials for: Your AI provider (e.g., OpenAI, Groq, local LLMs via Ollama): To power the AI Agent and the playlist generation. Spotify: To create playlists and control the player. You'll need to register an application in the Spotify Developer Dashboard to get your credentials. Configure credentials: Add your AI provider's API key to the Chat Model nodes. The template uses OpenAI by default, but you can easily swap this out for any compatible Langchain model node. Add your Spotify OAuth2 credentials to all Spotify and Spotify Tool nodes. Activate workflow: Once all credentials are set and the workflow is saved, click the "Active" toggle. You can now start interacting with your Spotify AI Agent via the chat panel! Taking it further This template is a great foundation. Here are a few ideas to expand its capabilities: Become the party DJ:** Make the Chat Trigger's webhook public. You can then generate a QR code that links to the chat URL. Party guests can scan the code and request songs directly from their phones, which the agent can add to a collaborative playlist or the queue. Expand the agent's skills:** The Spotify Tool node has more actions available. Add a new tool for Add to Queue so you can ask the agent to queue up a specific song without creating a whole new playlist. Integrate with other platforms:** Swap the Chat Trigger for a Telegram or Discord trigger to build a Spotify bot for your community. You could also connect it to a Webhook to take requests from a custom web form.

Good to know: This workflow automatically transcribes your favorite podcasts or videos saved in a YouTube playlist and generates a comprehensive, AI-powered summary—so you can quickly understand the main topics and insights without having to watch or listen to the entire episode. 👤 Who is this for? Podcast fans who want to save time and get the key points from episodes Busy professionals who follow educational or industry videos and need quick takeaways Content creators or researchers who organize and review large amounts of video/audio material Anyone who wants to efficiently capture and summarize information from YouTube playlists ❓ What problem is this workflow solving? This workflow solves the challenge of information overload from long-form podcasts and videos. It: Automatically transcribes each video or podcast episode in your chosen YouTube playlist Uses AI to create a clear, well-structured summary of the content Lets you learn and extract valuable information without watching or listening to the entire recording Organizes everything in a Google Sheets document for easy tracking and future reference ✅ What this workflow does: 📺 Fetches all videos from a specified YouTube playlist 🔗 Extracts video titles, URLs, and IDs 📝 Retrieves and combines transcripts for each video or podcast episode 📜 Processes transcript data for clarity 🤖 Uses AI to generate a detailed, sectioned summary that covers all main topics and insights 📊 Automatically logs video titles, transcripts, summaries, and row numbers to a Google Sheets spreadsheet ⚙️ How it works: 🟢 Trigger: Start the workflow manually or on a schedule 📺 Fetch videos from your chosen YouTube playlist 🔗 Extract and organize video details (title, URL, ID) 📝 Retrieve the transcript for each video or podcast episode 📜 Combine transcript segments into a single script ✂️ Extract the first sentences for focused summarization 🤖 AI agent creates a comprehensive summary of the episode or video 📊 Save all data—title, transcript, summary, and row number—to Google Sheets 🛠️ How to use: Set up YouTube OAuth2 credentials in n8n Configure Google Sheets OAuth2 credentials Set up API credentials for transcript and AI processing Create and link your Google Sheets document Input your playlist ID and adjust any filters as needed Activate the workflow 📝 Requirements: n8n instance (cloud or self-hosted) YouTube account with OAuth2 access Google Sheets account Access to transcript and AI APIs Basic n8n workflow knowledge 🟢 Customizing this workflow: Change the YouTube playlist ID to target your preferred podcasts or video series Adjust the transcript retrieval process for other APIs or formats Customize the AI prompt for different summary styles or focus areas Add or remove fields in the Google Sheets output Change the workflow trigger or polling frequency Switch to a different AI model if desired This workflow is designed to help you quickly learn from podcasts and videos you care about—without spending hours consuming the full content.

Description 📄 Turn your Slack workspace into a smart AI-powered HelpDesk using this workflow. This automation listens to Slack messages and uses an AI assistant (powered by OpenAI or any other LLM) to respond to employee questions about HR, IT, or internal policies by referencing your internal documentation (such as the Policy Handbook). If the answer isn't available, it can optionally email the relevant department (HR or IT) and ask them to update the handbook. It remembers recent messages per user, cleans up intermediate responses to keep Slack threads tidy, and ensures your team gets consistent and helpful answers—without manually searching docs or escalating simple questions. Perfect for growing teams who want to streamline internal support using n8n, Slack, and AI. How it works 🛠️ This workflow turns n8n into a Slack-based HelpDesk assistant powered by AI. It listens to Slack messages using the Events API, detects whether a real user is asking a question, and responds using OpenAI (or another LLM of your choice). Here's how it works step-by-step: Webhook Trigger: The workflow starts when a message is posted in Slack via the Events API. It filters out any messages from bots to avoid loops. Identify the User: It fetches the full Slack profile of the user who posted the message and stores their name. Send Receipt Message: An initial message is sent to the user saying, “I’m on it!”, confirming their request is being processed. AI Response Handling: The message is processed using the OpenAI Chat model (GPT-4o by default). Before responding, it checks if the query matches any HR or IT policy from the Policy Handbook. If the question can’t be answered based on internal data, it can optionally alert the HR or IT department via Gmail (after user confirmation). Memory Retention: It keeps track of the last 5 interactions per user using Simple Memory, so it remembers previous context in a Slack conversation. Cleanup and Final Reply: It deletes the initial receipt message and sends a final, clean response to the user. How to use 🚀 Clone the Workflow: Download or import the JSON workflow into your n8n instance. Connect Your Credentials: Slack API (for messaging) Google Sheets API (for department contact info) Google Docs API (for the Policy Handbook) Gmail API (optional, for notifying departments) OpenAI or another AI model Slack Setup: Set up a Slack App and enable the Events API. Subscribe to message events and point them to the Webhook URL generated by the workflow. Customize Responses: Edit the initial and final Slack message nodes if you want to personalize the wording. Swap out the LLM (ChatGPT) with your preferred model in the AI Agent node. Adjust AI Behavior: Tune the prompt logic in the “AI Agent” node if you want the AI to behave differently or access different data sources. Expand Memory or Integrations: Use external databases to store longer histories. Integrate with tools like Asana, Notion, or CRM platforms for further automation. Requirements 📋 n8n (self-hosted or cloud) Slack Developer Account & App OpenAI (or any LLM provider) Google Sheets with department contact details Google Docs containing the policy Handbook Gmail account (optional, for email alerts) Knowledge of Slack Events API setup

AI Latest News Content Script Writer Overview This workflow automates the daily generation of viral short-form video content ideas tailored for founders and business leaders. It scrapes fresh AI-related news and trends from various topics, synthesizes the information, and then uses AI to craft complete content packages—including video scripts, captivating captions, and punchy text overlays. All generated content is saved to a Google Sheet, ready for your review and use. Use Case This workflow is perfect for: Founders & Entrepreneurs**: Consistently produce engaging content to build authority and attract inbound leads without a dedicated content team. AI Thought Leaders**: Stay on top of the latest AI news and effortlessly create shareable insights. Content Marketing Teams**: Automate the ideation and initial drafting phases for short-form video strategies. Agencies**: Offer a unique AI-powered content generation service to your clients. How It Works Scheduled Daily Trigger: The workflow runs automatically every day at 6 AM IST, ensuring you always have fresh content ideas to start your day. AI-Powered News Gathering: It uses Perplexity AI to fetch the latest, most interesting, and relevant stories across three key AI topics: Topic 1: General AI News Topic 2: AI Market and Industry Trends Topic 3: AI Business Automation Organize and Combine Content: The information from each topic is organized, and then all content and their respective citations are combined into a single, comprehensive input. Personalize "About Me": Crucially, a configurable "About me" node allows you to define the personal brand of the founder (e.g., Name, Niche, Business Name, Business Type). This context is fed to the AI to ensure generated content aligns perfectly with your persona and business objectives. Generate Content Packages: Leveraging OpenAI (acting as "CreatorAI"), the workflow takes the combined news and your "About me" information to: Identify a Unique Angle: Finds a distinct, engaging angle from the input that aligns with key content pillars (e.g., AI solving business pain points, future of work with AI). Craft Video Scripts: Generates concise video scripts (under 700 characters) with powerful hooks, mini-narratives (problem → AI solution → impact), and a focus on tangible business benefits. It subtly references your business as a thought leader, not a direct pitch. Write Captions: Creates friendly, expert-toned captions with engaging hooks, more context, a clear call to action (e.g., "Comment 'Workflow' for more"), and relevant hashtags. Design Text Overlays: Produces short, punchy text overlays (3-7 words, ALL CAPS or Title Case) perfect for video thumbnails or initial screens. Save to Google Sheet: Each generated content package (Text Overlay, Video Script, Caption) is appended as a new row in your designated Google Sheet ("Content Idea" sheet within "Video Automation (Vansh)"). Notify User: Finally, you'll receive an email notification confirming that new content ideas have been generated and saved to your Google Sheet. How to Set It Up To set up this AI Viral Content Generator, follow these steps: API Keys & Credentials: Perplexity AI API Key: Obtain your API key from Perplexity AI and replace the Bearer token in the "Topic 1", "Topic 2", and "Topic 3" HTTP Request nodes. OpenAI API Key: Connect your OpenAI API key in n8n and link it to the "Content Generation" node. Google Sheets Account: Ensure your Google Sheets OAuth2 API credentials are set up and connected to the "Save Data" node. Gmail Account: Connect your Gmail OAuth2 credentials to the "Notify user" node. Google Sheet Setup: Copy the Google Sheet Template provided. This template has predefined columns for "Text Overlay", "Video Script", "Caption", "Approval", and "Published". Update the documentId in the "Save Data" Google Sheets node with the ID of your copied template. Personalize "About me": Open the "About me" node. Fill in your Name, Niche, Business Name, Business Type, Website, and detailed Key Services & Products. This is crucial for the AI to generate relevant and personalized content. Configure Notification Email: In the "Notify user" node, update the sendTo field with your email address where you want to receive notifications. Set Schedule: The "Schedule Trigger" is set to run daily at 6 AM IST. You can adjust the time to your preference. Activate and Monitor: Activate the workflow. It will now automatically generate content ideas daily. Check your Google Sheet regularly to review the new content, mark it for approval, and track its publication status. This workflow is your secret weapon for consistently creating engaging, AI-driven short-form video content!

Overview An intelligent email automation workflow that revolutionizes how you handle email responses. This sophisticated system monitors your Gmail inbox, uses AI to determine which emails require replies, generates professional responses, and sends them only after your approval via Telegram. Perfect for busy professionals who want to maintain personalized communication while leveraging AI efficiency. 🌟 Key Features Intelligent Email Analysis Smart Detection**: Automatically identifies emails that genuinely need responses Context Understanding**: Distinguishes between promotional content, newsletters, and actionable emails Priority Filtering**: Focuses on emails with questions, requests, or time-sensitive matters AI-Powered Response Generation Professional Tone**: Maintains appropriate business communication standards Contextual Replies**: Generates responses based on email content and context Structured Output**: Creates properly formatted subject lines and email bodies Customizable Prompts**: Easily adjust AI behavior to match your communication style Human-in-the-Loop Approval Telegram Integration**: Review and approve responses directly from your mobile device Visual Preview**: See both original email and AI-generated response before sending Dual Approval System**: Approve or reject with simple Telegram buttons Timeout Protection**: Automatically expires after 5 minutes to prevent accidental sends 🔧 How It Works Workflow Architecture Email Monitoring: Continuous Gmail inbox surveillance (every minute) Inbox Filtering: Processes only emails in your main inbox folder AI Analysis: Determines response necessity using advanced language models Response Generation: Creates professional, contextual replies when needed Telegram Notification: Sends preview to your Telegram for approval Conditional Sending: Executes email send only upon your explicit approval Decision Logic The AI evaluates emails based on: Question Detection**: Identifies direct questions requiring answers Action Requests**: Recognizes requests for information or tasks Urgency Assessment**: Prioritizes time-sensitive communications Context Analysis**: Considers sender, subject, and content relevance 🚀 Setup Requirements Prerequisites Gmail Account**: With OAuth2 authentication enabled OpenAI API Key**: For AI language model access Telegram Bot**: Personal bot token and chat ID N8N Instance**: Cloud or self-hosted environment Required Credentials Gmail OAuth2 credentials OpenAI API authentication Telegram bot token and chat configuration 📊 Use Cases Business Applications Customer Support**: Automated responses to common inquiries Sales Teams**: Quick replies to prospect questions Account Management**: Timely responses to client communications HR Operations**: Efficient handling of employee inquiries Personal Productivity Email Management**: Reduce inbox overwhelm Professional Communication**: Maintain consistent response quality Time Management**: Focus on high-priority tasks while AI handles routine replies Mobile Workflow**: Approve emails anywhere via Telegram ⚙️ Customization Options AI Behavior Tuning Response Style**: Adjust tone from formal to casual Content Filters**: Modify email analysis criteria Response Length**: Control reply brevity or detail level Language Patterns**: Customize communication style Workflow Modifications Polling Frequency**: Adjust email checking intervals Approval Timeout**: Modify decision time limits Multi-Account Support**: Extend to multiple Gmail accounts Category Routing**: Different handling for different email types 🔒 Security & Privacy Data Protection Local Processing**: All email analysis occurs within your N8N instance No Data Storage**: Email content is not permanently stored Secure Authentication**: OAuth2 and API key protection Encrypted Communication**: Secure Telegram API integration Access Control Personal Approval**: You control every outgoing message Audit Trail**: Complete workflow execution logging Fail-Safe Design**: Defaults to no action if approval isn't received 📈 Performance & Reliability Efficiency Metrics Processing Speed**: Sub-second email analysis Accuracy**: High-quality response generation Reliability**: Robust error handling and retry mechanisms Scalability**: Handles high email volumes efficiently Resource Usage Lightweight Operation**: Minimal server resource consumption API Optimization**: Efficient OpenAI token usage Rate Limiting**: Respects Gmail and Telegram API limits 💡 Best Practices Optimization Tips Monitor AI Responses**: Regularly review and refine AI prompts Approval Patterns**: Establish consistent approval workflows Response Templates**: Create reusable response patterns Performance Monitoring**: Track workflow efficiency metrics Common Configurations Business Hours**: Limit processing to working hours VIP Senders**: Priority handling for important contacts Subject Filters**: Custom rules for specific email types Escalation Rules**: Forward complex emails to human review 🏆 Benefits Productivity Gains Time Savings**: Reduce manual email composition time by 60-80% Consistency**: Maintain professional communication standards Responsiveness**: Faster reply times improve customer satisfaction Focus**: Concentrate on high-value tasks while AI handles routine communications Professional Advantages Always Available**: Respond to emails even when busy Quality Assurance**: AI ensures grammatically correct, professional responses Scalability**: Handle increasing email volumes without proportional time investment Competitive Edge**: Faster response times improve business relationships Tags: Email Automation, AI Assistant, Gmail Integration, Telegram Bot, Workflow Automation, OpenAI, Business Productivity, Customer Service, Response Management, Professional Communication

This n8n workflow template automates the process of collecting and analyzing Twitter (X) posts for any public profile, then generates a clean, AI-powered summary including key metrics, interests, and activity trends. 🚀 What It Does Accepts a user's full name and date range through a public form. Automatically finds the person’s X (formerly Twitter) profile using a Google search. Uses Bright Data to retrieve full post data from the X.com profile. Extracts key post metrics like views, likes, reposts, hashtags, and mentions. Uses Google Gemini (PaLM) to generate a personalized summary: tone, themes, popularity, and sentiments. Stores both raw data and the AI summary into a connected Google Sheet for further review or team collaboration. 🛠️ Step-by-Step Setup Deploy the public form to collect full name and date range. Build a Google search query using the name to find their X profile. Scrape the search results via Bright Data (Web Unlocker zone). Parse the page content using the HTML node. Use Gemini AI to extract the correct X profile URL. Pull full post data via Bright Data dataset snapshot API. Transform post data into clean structured fields: date_posted, description, hashtags, likes, views, quoted_post.date_posted, quoted_post.description, replies, reposts, quotes, and tagged_users.profile_name. Analyze all posts using Google Gemini for interest detection and persona generation. Save results to a Google Sheet: structured post data + AI-written summary. Show success or fallback messages depending on profile detection or scraping status. 🧠 How It Works: Workflow Overview Trigger: When user submits form Search & Match: Google search → HTML parse → Gemini filters matching X profile Data Gathering: Bright Data → Poll for snapshot completion → Fetch post data Transformation: Extract and restructure key fields via Code node AI Summary: Use Gemini to analyze tone, interests, and trends Export: Save results to Google Sheet Fallback: Display custom error message if no X profile found 📨 Final Output A record in your Google Sheet with: Clean post-level data Profile-level engagement summary An AI-written overview including tone, common topics, and post popularity 🔐 Credentials Used Bright Data account** (for search & post scraping) Google Gemini (PaLM)** or Gemini Flash via - OpenAI/Google Vertex API Google Sheets (OAuth2) account** (for result storage) ⚠️Community Node Dependency This workflow uses a custom community node: n8n-nodes-brightdata Install it via UI (Settings → Community Nodes → Install).