Workflow Templates

Overview Turn your docs into an AI-powered internal or public-facing assistant. This chatbot workflow uses RAG (Retrieval-Augmented Generation) with Supabase vector search to answer employee or customer questions based on your company documents—automatically updated via Google Drive. Whether it’s deployed in Telegram or embedded on your website, this agent supports voice and text input, transcribes voice messages, pulls relevant context from your internal files, and responds with a helpful, AI-generated answer. Two additional workflows listen for file changes in a shared Google Drive folder, convert them into embeddings using OpenAI, and sync them with your Supabase vector DB—so your knowledge base is always up to date. Who’s it for Startups building an internal ops or HR assistant SaaS companies deploying help bots on their websites Customer support teams reducing repetitive questions Knowledge-driven teams needing internal AI assistants How it works Triggered via Telegram bot (or easily swapped for website chatbot or “on chat message”) If user sends a voice message, it’s transcribed to text using OpenAI Whisper Input is passed to a RAG agent that: Searches a Supabase vector store for relevant docs Pulls context from matching chunks using OpenAI embeddings Responds with an LLM-powered answer The response is sent back as a Telegram message Two separate workflows: New File Workflow: Listens for file uploads in Google Drive, extracts and splits text, then sends to Supabase with embeddings Update File Workflow: Detects file edits, deletes old rows, and updates embeddings for the revised file Example use case > You upload your internal policy docs and client FAQs into a Google Drive folder. > > Employees or customers can now ask: > - “What’s the refund policy for annual plans?” > - “How do I request a day off?” > - “What tools are approved for use by the engineering team?” > > The chatbot instantly pulls up the right section and responds with a smart, confident answer. How to set up Connect a Telegram bot or use n8n’s webchat / chatbot widget Hook up OpenAI for transcription, embeddings, and completion Set up a Supabase project and connect it as a vector store Upload your internal docs to Google Drive Deploy the “Add File” and “Update File” automations to manage embedding sync Customize the chatbot’s tone and personality with prompt tweaks Requirements Telegram bot (or n8n Chat widget) Google Drive integration Supabase with pgvector or similar enabled OpenAI API key (Whisper, Embeddings, ChatGPT) Two folders: one for raw documents and one for tracking updates How to customize Swap Supabase for Pinecone, Weaviate, or Qdrant Replace Telegram with web chat, Slack, Intercom, or Discord Add logic to handle fallback answers or escalate to human Embed the chat widget on your site for public customer use Add filters (e.g. department, date, author) to narrow down context

AI-Powered Keyword Cannibalization Detection Workflow Overview This is an advanced n8n automation workflow designed to detect and analyze keyword cannibalization issues across multiple client websites using Google Search Console data and artificial intelligence. The system provides real-time monitoring and comprehensive reporting to help SEO professionals identify and resolve internal competition between pages ranking for the same keywords. Core Components 1. Automated Monitoring System Real-time trigger:** Monitors Google Sheets for keyword changes every minute Multi-client support:** Handles up to 4 different client websites simultaneously Intelligent routing:** Automatically directs each client's data through dedicated processing paths 2. Data Collection & Processing GSC Integration:** Fetches 30 days of search performance data from Google Search Console API Comprehensive metrics:** Collects keyword rankings, page URLs, positions, clicks, impressions, and CTR Data transformation:** Groups raw API responses by keywords for structured analysis Cross-referencing:** Matches target keywords from Google Sheets with actual GSC performance data 3. AI Analysis Engine GPT-4o powered:** Uses advanced AI to analyze keyword competition patterns Risk categorization:** Automatically classifies cannibalization risk as: High Risk: 5+ pages competing for the same keyword Moderate Risk: 3+ pages ranking in top 10 positions Low Risk: 2 pages with one clearly dominating No Risk: Single page ranking for the keyword Intelligent reasoning:** Provides detailed explanations for each risk assessment 4. Comprehensive Reporting Automated output:** Saves analysis results back to Google Sheets Detailed insights:** Includes risk levels, reasoning, observations, and actionable remediation steps Performance tracking:** Complete keyword performance metrics for client reporting Status tracking:** Identifies which keywords are ranking vs. missing from search results

If you want to reach a wider audience, having your video titles and descriptions in multiple languages can help you connect with more viewers. This template provides the configuration needed to generate translations and update them directly on YouTube. How it works Defines Video ID and Languages** You can get the ID from the video URL. If you’re unsure, click the Share button, it will provide the ID at between the "/" and the "?si=" Fetches video information** As long as the workflow has the video ID, it can retrieve the video information, whether the video is published or not. Check languages to translate** If no default language is set in the video details, the workflow will assume "en" (English) as the default. To overwrite the default language, replace 'en' in line 2 of the code. AI Agent Translator**: You can improve results by refining the prompt. Feel free to experiment, just don’t change the formatting structure. Updates Video Localization** The API requires to send current default version again along with the translations in the Body. Output URL** returns the URL for the video’s localization. It may take a few seconds to appear—refresh and try again if needed. ⚠ The translation will overwrite any existing translations for the same language. How to Use (First time only) Set up credentials for your user. Edit the node "Defines Video ID and Languages". Click the Execute Workflow button. Enjoy your translated video titles and descriptions! More details can be found in the sticky notes under each node. Requirements To implement this workflow, you will need to configure credentials for the following nodes: Fetch Video Information**: YouTube Auth This of course, assumes that you have a YouTube account. The account creation and setup takes time, but luckily it's the only slow part, once done, you are good to go. AI Agent Translator**: Google Gemini (PaLM) API Both credentials can be created directly inside the node by clicking it, then selecting “Create Credential to Connect With” and following the instructions provided by the n8n Assistant. If you already have the credentials, simply select them! No paid plan is required, free tiers are sufficient. Keep in mind the request limits if you extend or modify this workflow to do multiple videos at once.

Automate AI News Filtering with Keywords to Telegram This n8n template helps you stay up-to-date by automatically filtering news and sending relevant articles to Telegram using an AI Agent. This workflow is perfect for content marketers, journalists, or researchers who need to find specific articles without manually sifting through countless news feeds. Steps to Take Create BrowserAct Workflow:* Set up the *News Content Marketing Automation** template in your BrowserAct account. Add BrowserAct Token:* Connect your BrowserAct account credentials to the *HTTP Request* inside *Run Node**. Update Workflow ID:* Change the workflow_id value in the *HTTP Request* inside *Run Node** to match the one from your BrowserAct workflow. Connect Gemini:* Add your Google Gemini credentials to the *AI Agent** node. Configure Telegram:* Connect your Telegram account and add your Channel ID to the *Send a News Photo To Telegram** node. How it works The workflow is triggered automatically on a schedule, but you can also manually run it. It uses an HTTP Request node to start a web scraping task via the BrowserAct API to collect the latest news. A series of If and Wait nodes monitor the scraping job until the full data is ready. An AI Agent node, powered by Google Gemini, processes the headlines and filters the news based on a list of keywords you define. A Code node then formats the AI's output into a clean, readable format. Finally, the filtered news articles are sent as rich media messages to Telegram, including the headline, a picture, and a link. Requirements BrowserAct** API account BrowserAct* *“News Content Marketing Automation”** Template Gemini** account Telegram** credentials Need Help ? How to Find Your BrowseAct API Key & Workflow ID How to Connect n8n to Browseract How to Use & Customize BrowserAct Templates

This workflow employs OpenAI's language models and SerpAPI to create a responsive, intelligent conversational agent. It comes equipped with manual chat triggers and memory buffer capabilities to ensure seamless interactions. To use this template, you need to be on n8n version 1.50.0 or later.

Edit 19/11/2024: As explained on the workflow, the AI Agent with the original system prompt was not effective when using gpt4-o-mini. To address this, I optimized the prompt to work better with this model. You can find the prompts I’ve tested on this Notion Page. And yes, there is one that works well with gpt4-o-mini. AI Agent to chat with you Search Console Data, using OpenAI and Postgres This AI Agent enables you to interact with your Search Console data through a chat interface. Each node is documented within the template, providing sufficient information for setup and usage. You will also need to configure Search Console OAuth credentials. Follow this n8n documentation to set up the OAuth credentials. Important Notes Correctly Configure Scopes for Search Console API Calls It’s essential to configure the scopes correctly in your Google Search Console API OAuth2 credentials. Incorrect configuration can cause issues with the refresh token, requiring frequent reconnections. Below is the configuration I use to avoid constant re-authentication: Of course, you'll need to add your client_id and client_secret from the Google Cloud Platform app you created to access your Search Console data. Configure Authentication for the Webhook Since the webhook will be publicly accessible, don’t forget to set up authentication. I’ve used Basic Auth, but feel free to choose the method that best meets your security requirements. 🤩💖 Example of awesome things you can do with this AI Agent

AI-Powered Automatic Timesheet Generator for Google Sheets Stop wasting billable hours on manual time-tracking. AutoTimesheet Pro uses AI to collect emails, meetings, and GitHub work, then writes a clean timesheet straight into Google Sheets. Perfect for developers, consultants, agencies, and remote teams. 🚀 Key Features Automated Google Sheets time-tracking** — zero spreadsheet prep. AI-generated activity summaries** (≤ 120 chars) via OpenAI GPT-4o-mini. Gmail integration** — logs only important emails, skipping newsletters & no-replies. Google Calendar time logger** — captures confirmed events, duration, and attendees. GitHub commit & PR tracker** — records your commits plus opened/closed PRs. Daily 7 PM cron trigger** (easily adjustable). Month-based sheet creation** — new tab spins up on the first run each month. No-code n8n template* — just connect credentials and tweak one *Set Variables** node. 🔌 Easily extensible** — drag-and-drop extra n8n nodes to add Slack, Jira, Notion, Asana, Trello, Toggl, or any other data source you need. 🔍 How It Works Collect — n8n pulls data from Gmail, Google Calendar, and chosen GitHub repos. Clean — filters remove noise (newsletters, irrelevant commits, etc.). Condense — OpenAI rewrites each item into a concise, SEO-friendly description. Write — workflow appends Date, Type, and Description to your Timesheet Google Sheet. Extend — simply insert new n8n nodes (e.g., Slack, Notion, Jira) and merge them into the same pipeline. 📈 Benefits for SEO-Minded Professionals Keyword-rich activity log** improves internal search and reporting. Structured data** in Sheets simplifies export to accounting or PM tools. Consistent naming** (CALENDAR_EVENT, EMAIL, COMMIT, PR) makes analytics easy. ✅ Why Choose AutoTimesheet Pro? Zero manual entry — just open the sheet and bill clients. Immediate visibility into where your hours went. Works with any GitHub repo list and any inbox you own. 100 % no-code setup — activate in minutes. Built on n8n, so you can customize and scale without limits. 📥 Get Started Ready to replace manual time-tracking with smart automation? https://n8n.partnerlinks.io/ds9podzjls6d Join N8N now, connect your Google & GitHub accounts, and let AI handle your daily log.

In this workflow, we'll automate the export of all the submissions which have a total score greater than 15 for a final review on Trello. The workflow will also generate social media assets for the organizers and add them to the Trello card.

v1 Helper ℹ️ This workflow is to be run after upgrading to n8n v1. This workflow returns all locations where a node in an active workflow contains a parameter using an expression extension affected by v1 changes. For every location, please check that the workflow still behaves as intended.

This n8n workflow template allows you to write WordPress posts by just providing a few keywords. It uses AI technology to write the text and to create the post's featured image. The text includes an introduction, chapters, and conclusions. Each chapter is written independently and this allows you to create also very long articles. The workflow uses technologies provided by Open AI: Chat GPT for the text and Dall-E for the image. I suggest reviewing the created posts before publishing them on your WordPress website. The article generation might take some minutes as each chapter is created independently. Features Easy to use:** Easy web interface to start the generation of the WordPress post AI-powered:** Text and image generation is done by artificial intelligence Long-text ready:** Possibility to create very long articles Configurable:** Possibility to provide as many keywords as you want, to choose the number of chapters and the length of the article Plugs into your WordPress:** Easily integrates with your WordPress website Tweak it as you want:** Fine-tune the Open AI prompts and the workflow as you want Workflow Steps User form:** An n8n form is used to trigger the post creation Settings:** This node is used to set your WordPress URL (which is used later in the workflow) Article structure:** First AI action that writes the introduction, the conclusions, and the chapter structure. Data check:** Check that the data provided by the AI is valid Chapters split/Chapters text:** Splits the data for each chapter in a separate item and generates each chapter's text with AI Content preparation:** Prepares the text for posting merging the introduction, the chapters, and the conclusions. Adds some basic HTML formatting Draft on WordPress:** Creates the draft post on WordPress Featured image:** Creates a featured image and adds it to the post on WordPress User feedback:** Sends a feedback to the user on the n8n form Getting Started To deploy and use this template: Import the workflow into your n8n workspace Set your WordPress URL in the wordpress_url field in the "Settings" node. Include the slash (/) at the end of the URL Set up your Open AI n8n credentials by following this guide. The Open AI credentials are used by the Open AI nodes ("Create post title and structure", "Create chapters text", and "Generate featured image") Set up your WordPress n8n credentials by following this guide. The WordPress credentials are used by the WordPress and HTTP Request nodes ("Post on Wordpress", "Upload media", and "Set image ID for the post"). Pay attention that the "Password" in the WordPress credentials is not the user's password by the Application Password How use the workflow to create a WordPress post Activate the workflow Open the "Form" node and copy the "Production URL". This is the public URL of the form to AI-write the post Open the URL in a browser and fill in the form Wait a few minutes till you get the feedback in the form that the post was created Go to WordPress and check the newly created draft post. Review and publish your post!

Overview This n8n workflow automates the creation of 9:16 aspect ratio images optimized for short-form video content and thumbnails. It integrates multiple tools to retrieve content, generate scripts, and create AI-generated imagery. Key Features Trigger Workflow Manually The workflow starts when triggered manually in n8n. Retrieve Brand Guidelines Fetch brand elements like style, tone, and guidelines from Airtable. SEO Keywords and Blog Post Retrieval Retrieves blog posts and associated SEO keywords from Airtable to form the basis of image content. Content Preparation Uses GPT-4 to prepare a 4-scene script and thumbnail prompts for short-form videos. AI Image Generation Uses Leonardo.ai API to generate: Thumbnail Images Scene-specific Images (9:16 Aspect Ratio) Airtable Asset Management Generated assets (images) are saved back into Airtable with metadata like URLs and file sizes. Tools and Integrations n8n**: Workflow automation platform. OpenAI**: Generates scripts and prompts (GPT-4O-MINI). Leonardo.ai**: AI tool for improving prompts and generating high-quality images. Airtable**: Used as a data source for brand guidelines, blog posts, and to store generated assets. Workflow Steps Manual Trigger Initiate the workflow. Retrieve Brand and SEO Guidelines Fetch essential brand elements like tone, style, and keywords. Filter and Fetch Blog Content Search for blog posts relevant to selected SEO keywords. Script Preparation Use GPT-4 to generate a script with image prompts for scenes and thumbnails. Image Generation Call Leonardo.ai to create: Scene Images in 9:16 Aspect Ratio. A Thumbnail Image with an improved prompt. Store Assets Save generated assets (images) to Airtable for future use. Workflow Structure Nodes Breakdown: Manual Trigger**: Start the workflow. Get Brand Guidelines**: Pull brand-related information (style, tagline, tone, etc.) from Airtable. Set Guidelines**: Prepare fetched data. Get SEO Keywords**: Retrieve keywords to filter relevant content. Keyword Filter*: Filter results for specified keywords (e.g., *"AI Automation"). Script Prep**: Generate 4-scene scripts and prompts with GPT-4. Leo - Improve Prompt**: Improve image prompts for clarity and detail. Leo - Generate Image**: Create AI-generated images for scenes and thumbnails. Wait Nodes**: Ensures Leonardo image generation is complete. Add Asset Info**: Store the generated images back into Airtable with metadata. API Credentials Required Ensure the following credentials are configured in n8n: OpenAI API Key Leonardo.ai API Key Airtable API Token Output Generated Images**: High-quality AI-generated images with a 9:16 aspect ratio. Saved Metadata**: Asset details (URLs, sizes, types) stored in Airtable. Usage Import this workflow into n8n. Set up your Airtable API, Leonardo.ai API, and OpenAI API credentials. Run the workflow manually. Monitor image generation and check the Airtable output for results. Tags OpenAI** RunwayML** Leonardo** Airtable** Video Automation** Author AlexK1919 AI-Native Workflow Architect More Workflow Templates YouTube Channel Connect with Alex

Video Guide I prepared a detailed guide that shows the entire process of building an AI agent that integrates with Airtable data in n8n. This template covers everything from data preparation to advanced configurations. Youtube Link Who is this for? This workflow is designed for developers, data analysts, and business owners who want to create an AI-powered conversational agent integrated with Airtable datasets. It is particularly useful for users looking to enhance data interaction through chat interfaces. What problem does this workflow solve? Engaging with data stored in Airtable often requires manual navigation and time-consuming searches. This workflow allows users to interact conversationally with their datasets, retrieving essential information quickly while minimizing the need for complex queries. What this workflow does This workflow enables an AI agent to facilitate chat interactions over Airtable data. The agent can: Retrieve order records, product details, and other relevant data. Execute mathematical functions to analyze data such as calculating averages and totals. Optionally generate maps for geographic data visualization. Dynamic Data Retrieval: The agent uses user prompts to dynamically query the dataset. Memory Management: It retains context during conversations, allowing users to engage in a more natural dialogue. Search and Filter Capabilities: Users can perform tailored searches with specific parameters or filters to refine their results. Set up steps Separate workflows: Create additional workflow and move there Workflow 2. Replace credentials: Replace connections and credentials in all nodes. Start chat: Ask questions and don't forget to mention required base name.