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    • Automate Context-Aware AI Responses for Discord Mentions and DMs

      Deploy an AI assistant in your Discord server that intelligently responds to mentions and direct messages, utilizing OpenAI's language model for context-aware interactions.

      n8nFree

    • Automate Feedback Sentiment Routing with Typeform, GCP, Notion, Slack, and Trello

      Streamline feedback management by analyzing sentiment from Typeform responses using Google Cloud Natural Language, and route results to Notion, Slack, or Trello based on sentiment score.

      n8nFree

    • Extract Personal Data Using Self-Hosted Mistral NeMo LLM in n8n

      Leverage a self-hosted Large Language Model (LLM) with n8n's LangChain integration to extract personal information from user input while maintaining data privacy.

      n8n

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  1. Automate Gmail Cleanup with AI Validation and Telegram Alerts

    Effortlessly manage your Gmail inbox by automatically deleting unwanted emails using AI validation, with real-time notifications via Telegram.

    n8nFree

  2. Automate Image Transformation with AI and Airtable

    This workflow automates the process of transforming images using AI by generating prompts and storing results in Airtable.

    n8nFree

  3. Command-based Telegram Bot for Article Summarization & Image Prompts with OpenAI

    # Telegram AI Assistant: Summarize Links & Generate Images On Demand This workflow turns any Telegram chat into a smart assistant. By typing simple commands like `/summary` or `/img`, users can trigger powerful AI actions directly from Telegram. --- ## What It Does This automation listens for specific commands in Telegram messages: - `/help`: Sends a help menu explaining available commands. - `/summary <link>`: Fetches a webpage, extracts its content, and summarizes it using OpenAI into 10-12 bullet points. - `/img <prompt>`: Sends the image prompt to OpenAI and replies that the request has been received (designed for future integration with image APIs). --- ## Features - Works instantly in Telegram - Uses OpenAI for text summarization and image prompt processing - Scrapes and cleans raw article text before summarizing - Replies directly to the same Telegram thread - Easily expandable to support more commands --- ## Use Cases - **Research Summaries**: Quickly condense articles or reports shared in chat. - **Content Review**: Get team-friendly TL;DRs of long blog posts or product pages. - **Creative Brainstorming**: Share visual ideas via `/img` and get quick prompts logged. - **Customer Support**: Offer instant answers in group chats (with further extension). - **Daily Digest Bot**: Connect to news feeds and auto-summarize updates. --- ## Getting Started 1. Clone this workflow and connect your Telegram Bot. 2. Insert your OpenAI credentials. 3. Deploy and test by messaging `/summary https://example.com` in your Telegram group or DM. 4. Expand with new commands or connect Stability.ai or other services for real image generation. --- ## Author & Resources Built by [Yaron Been](https://www.youtube.com/@YaronBeen/videos) Follow more automations at [nofluff.online](https://nofluff.online)

    n8nFree

  4. Generate YouTube Video Summaries with SearchAPI Transcripts and LLM

    ## Summarize YouTube Videos using SearchApi & LLM ### Who is this for? This workflow is ideal for **content creators**, **students**, **digital marketers**, **educators**, and **researchers** who want to quickly summarize YouTube videos. ### What problem does this workflow solve? Manually extracting important information from lengthy YouTube videos can be tedious and prone to errors. This workflow streamlines the process by automatically fetching video transcripts using [SearchApi.io](https://www.searchapi.io/) and producing concise, informative summaries through a summarization chain powered by any LLM provider. This allows users to quickly access crucial information without the need for manual transcription or detailed viewing. ### What this workflow does - Fetches the complete transcript of a YouTube video using SearchApi. - Combines the retrieved transcript into a single, continuous text. - Utilizes a **Summarization Chain** with an LLM (e.g., OpenAI models) to create a concise summary of the video content. ### Setup 1. **Install the [SearchApi community node](https://www.npmjs.com/package/@searchapi/n8n-nodes-searchapi)**: - Open **Settings > Community Nodes** inside your self-hosted n8n instance. - Fill **npm Package Name** with `@searchapi/n8n-nodes-searchapi`. - Accept the risk prompt, and hit **Install**. - It should now appear as a node when you search for it. 2. **API Configuration**: - Set up your [SearchApi.io](https://www.searchapi.io/) credentials in n8n. - Add your preferred LLM provider credentials (e.g., OpenAI API). 3. **Input Requirements**: - Provide the YouTube video ID (e.g., `wBuULAoJxok`). 4. **Connect LLM Integration**: - Configure the summarization chain with your chosen model and parameters for text splitting. ### How to customize this workflow to meet your needs - Adjust the summarization model or modify text-splitter parameters to accommodate different lengths and complexities of video transcripts. - Integrate additional nodes to export summaries directly into your preferred tools, such as Google Drive, Slack, or email. - Customize prompt templates in the summarization chain to obtain various summary styles (bullet points, paragraphs, etc.). - Modify the trigger to suit your workflow. ### Example Usage 1. **Input**: YouTube video ID (`wBuULAoJxok`). 2. **Output**: A concise, actionable summary that highlights key ideas, recommendations, and insights from the video.

    n8nFree

  5. Automate Company Name Cleaning for Cold Emails Using AI and Google Sheets

    Enhance your cold email campaigns by automatically cleaning and standardizing company names in Google Sheets using AI. This workflow removes unnecessary suffixes and taglines to improve personalization and engagement.

    n8nFree

  6. Automate Project Summaries from Meeting Transcripts Using GPT-4 and Google Docs

    Streamline the creation of project summaries by automatically generating structured documents from meeting transcripts using GPT-4 and storing them in Google Docs.

    n8nFree

  7. Automate Azure VM Timeline Reports with Google Gemini AI

    This workflow leverages Google Gemini AI to analyze Azure virtual machine activity, generating detailed timeline reports of VM state changes, performance metrics, and operational events.

    n8nFree

  8. Automate Podcast Creation from RSS Feeds with AI Summarization and Voice Synthesis

    Transform any RSS feed into a podcast episode using AI for summarization and ElevenLabs for voice synthesis. Automatically distribute the audio via Telegram for instant access.

    n8nFree

  9. Automate YouTube Video Summarization and Repurposing via Telegram Bot

    This workflow allows multiple users to interact with a Telegram bot that summarizes YouTube videos and repurposes content using OpenAI. Ideal for content creators and marketers.

    n8nFree

  10. Automate CV Screening & Candidate Validation with AI & Email Parsing

    This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This automated n8n workflow streamlines the process of screening CVs and validating candidate information using AI and email parsing. The system listens for new emails with CV attachments, extracts and processes the data, and either saves valid CVs to a target directory or notifies HR of invalid submissions. ## Good to Know - The workflow improves efficiency by automating CV screening and validation. - Ensures only CVs with essential fields (e.g., name, email, skills) are processed further. - Email notifications alert HR to incomplete or invalid CVs for timely follow-up. - The system pauses until all CV data is fully loaded to avoid processing errors. ## How It Works 1. **Trigger on New CV Email** - Detects new emails with CV attachments. 2. **Extract Text from PDF CV** - Parses content from attached PDF files. 3. **Ensure All CV Data Loaded** - Waits until all data is ready for processing. 4. **Parse & Structure CV Information** - Extracts structured details like name, skills, and experience using AI or custom logic. 5. **Check CV for Required Fields** - Verifies the presence of essential fields (e.g., name, email, skills). 6. **Save Valid CV to Folder** - Stores successfully validated CVs into a target directory. 7. **Notify HR of Invalid CV** - Sends an email alert for incomplete or invalid CVs. ## Data Sources The workflow processes data from email attachments: - **CV PDF Files** - Contains candidate information in PDF format. ## How to Use - Import the workflow into n8n. - Configure email account credentials for monitoring new CV emails. - Set up a target directory for storing validated CVs. - Test with sample CV PDFs to verify extraction and validation. - Adjust AI or custom logic based on specific required fields. - Monitor email notifications for invalid CVs and refine the process as needed. ## Requirements 1. Email account access with IMAP/POP3 support. 2. PDF parsing capabilities (e.g., OCR or text extraction tools). 3. AI or custom logic for data extraction and validation. 4. A target directory for storing validated CVs. ## Customizing This Workflow - Modify the Check CV for Required Fields node to include additional required fields (e.g., education, certifications). - Adjust the email notification format to include more details about invalid CVs. - Integrate with HR software for seamless candidate tracking. ## Details - The workflow ensures efficient CV screening by automating repetitive tasks. - Notifications help maintain a high-quality candidate pool by addressing issues early.

    n8nFree

  11. Automate Blog Creation and Publishing with Gemini AI, Google Sheets, and GitHub

    This n8n workflow automates the generation and publication of technical blog posts using topics from Google Sheets. It utilizes Gemini AI for content creation, commits the content to a GitHub repository, and updates a Jekyll-powered blog, streamlining the entire process.

    n8nFree

  12. Create a Dynamic AI Website Assistant with Pinecone and OpenAI

    This workflow sets up an AI-driven virtual assistant that dynamically responds to website queries using Pinecone vector search and OpenAI models, with routing based on the source website.

    n8nFree

  13. Automate Multilingual YouTube Metadata Translation with AI and Google Sheets

    Streamline the process of translating YouTube video metadata into multiple languages using AI, and manage it all through Google Sheets. This workflow automates the detection of new videos, translates their metadata, and updates it directly on YouTube, saving time and expanding your global reach.

    n8nFree

  14. AI-Driven Business Model Canvas Generator

    Generate a comprehensive Business Model Canvas in seconds using AI, streamlining the creation process into a single, formatted HTML file.

    n8nFree

  15. Fetch Keywords From Google Sheet and Classify Them Using AI

    ## Who is this template for This template is for marketers, SEO specialists, or content managers who need to analyze keywords to identify which ones contain references to a specific area or topic, in this case - IT software, services, tools, or apps. ## Use case Automating the process of scanning a large list of keywords to determine if they reference known IT products or services (like ServiceNow, Salesforce, etc.), and updating a Google Sheet with this classification. This helps in categorizing keywords for targeted SEO campaigns, content creation, or market analysis. ## How this workflow works 1. Fetches keyword data from a Google Sheet. 2. Processes keywords in batches to prevent rate limiting. 3. Uses an AI agent (OpenAI) to analyze each keyword and determine if it contains a reference to an IT service/software. 4. Updates the original Google Sheet with the results in a Service? column. 5. Continues processing until all keywords are analyzed. ## Set up steps 1. Connect your Google Sheets account credentials. 2. Set the Google Sheet document ID (currently using Copy of Sheet1 1). 3. Configure the OpenAI API credentials for the AI agent. 4. Adjust the batch size (currently 6) if needed based on your API rate limits. 5. Ensure the Google Sheet has the required columns: Number, Keyword, and Service? ![Screenshot 20250219 at 13.07.11.png](fileId:958) The AI agent's prompt is highly customizable to match different identification needs. For example, instead of looking for IT software/services, you could modify the prompt to identify: - Industry-specific terms (healthcare, finance, education) - Geographic references (cities, countries, regions) - Product categories (electronics, clothing, food) - Competitor brand mentions Here's how you could modify the prompt for different use cases: ``` // For identifying educational content keywords Check the keyword I provided and define if this keyword relates to educational content, courses, or learning materials and return yes or no. // For identifying local service keywords Check the keyword I provided and determine if it contains location-specific terms (city names, neighborhoods, regions) that suggest local service intent and return yes or no. // For identifying competitor mentions Check the keyword I provided and determine if it mentions any of our competitors (CompetitorA, CompetitorB, CompetitorC) and return yes or no. ```

    n8nFree

  16. Automate AI-Driven Data Extraction from PDFs with Dynamic Prompts and Baserow

    Leverage dynamic prompts to automate data extraction from PDF files using Baserow and AI models. This workflow reduces maintenance and enhances flexibility by allowing prompt modifications without altering the workflow.

    n8nFree

  17. Automate Website Tool Analysis with Telegram, Apify, AI & Google Sheets

    #### Description This powerful workflow automates the evaluation of new digital tools, websites, or platforms with the goal of assessing their potential impact on your business. By leveraging Telegram for user input, Apify for deep content extraction, advanced AI for contextual analysis, and Google Sheets for personalized data integration and record-keeping, this tool delivers clear, actionable verdicts that help you determine whether a tool is worth adopting or exploring further. #### Key Features and Workflow User-Friendly Input: Submit URLs of tools or websites directly through Telegram for quick and easy evaluation requests. - Dynamic Content Extraction: The workflow retrieves detailed content from the submitted URLs using the Apify web crawler, capturing rich data for analysis. - AI-Powered Cleaning & Analysis: Sophisticated AI models filter out noise, distill meaningful insights, and contextualize findings based on your business profile and goals stored in Google Sheets. - Personalized Business Context: Integration with Google Sheets brings in your company's specialization, current focus, and strategic objectives to tailor the analysis specifically to your needs. - Structured Analysis Output: Receive a thorough, structured report including concise summaries, key considerations, business impact, benefits, risks, actionable insights, and an easy-to-understand final verdict on the tool's relevance. - Decision Support: The tool estimates effort, time to value, urgency, and confidence levels, enabling informed prioritization and strategic decision-making. - Seamless Communication: Results are sent back via Telegram, ensuring you get timely and direct feedback without needing to leave your messaging app. - Record Keeping & Tracking: All analyses and decisions are logged automatically into Google Sheets, creating a searchable knowledge base for ongoing reference and reporting. #### Setup Instructions for Key Nodes Telegram Trigger Node: 1. Configure your Telegram bot API credentials here. 2. Link the bot to your Telegram account to receive messages for URL submissions. URL Extraction Node: No credentials needed. This node extracts URLs from incoming messages for processing. Apify Web Crawler Node Setup Guide: Go to Apify's website, sign up for an account if you don't have one, and get your API token from your profile's API tokens section. Then, paste this token into the Apify Node's API Key field in n8n. AI Cleaning and Analysis Nodes: 1. Configure OpenAI or compatible AI service API keys for content processing. 2. Customize prompts or models if desired to align analysis style. Google Sheets Nodes: 1. Connect using your Google account and provide access to the specified Google Sheet. 2. Ensure sheets for Company Details and Analysis Results exist with proper columns as per this workflow. Telegram Reply Node: Use the Telegram bot API credentials to send analysis summaries and verdicts back to users. ###### Access and Edit the Google Sheet You can access the Google Sheet used by this workflow here: [Access the Google Sheet here](https://docs.google.com/spreadsheets/d/1RCMapKv9IPdwNz4Rp-Ma2iKzdWDEbxggYrq9K2_pU-w/edit?usp=sharing) Please make a copy of the sheet to your own Google Drive before connecting it with this workflow. This allows you to customize the sheets, update company information, and manage analysis results securely without affecting the original template. #### Extendibility Beyond manual URL submissions, you can enhance this workflow by scheduling automated daily checks of new product launches from platforms like Product Hunt. The system can proactively analyze emerging tools and deliver timely updates via Telegram, email, or other channels, helping you stay ahead of innovation effortlessly.

    n8nFree

  18. Automate Strava Activity Titles and Descriptions with AI

    This n8n workflow connects Strava with an AI service to automatically generate personalized titles and descriptions for new cycling activities, enhancing your Strava posts without manual effort.

    n8nFree

  19. Automate Meeting Minutes Creation from Telegram to Airtable, Slack, and Gmail

    Streamline your meeting documentation process by automatically transcribing Telegram messages or voice notes into structured meeting minutes with GPT, storing them in Airtable, and notifying your team via Slack and Gmail.

    n8nFree

  20. Integrate OpenAI Chatbot with Business Data Using Peliqan for RAG and SQL Queries

    This workflow demonstrates how to integrate an OpenAI chatbot with business data from multiple sources using Peliqan for RAG and SQL queries. It enables efficient data retrieval and analysis by leveraging Peliqan's data warehouse capabilities.

    n8nFree

  21. Automate Gong.io Sales Call Analysis with AI and CRM Integration

    Streamline the analysis of Gong.io sales calls using Azure AI to extract valuable insights and automatically sync them with Notion and Salesforce for enhanced sales, marketing, and product strategies.

    n8nFree
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