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This is an end-to-end workflow for creating a simple OpenAI Assistant. The whole process is done with n8n nodes and do not require any programming experience. The workflow is divided into three main steps: Step 1: Get a Google Drive File and Upload to OpenAI The workflow starts by retrieving a file from Google Drive using the "Get File" node. The example file used is a Music Festival document. The retrieved file is then uploaded to OpenAI using the "Upload File to OpenAI" node. Run this section only once. The file is stored persistently on the OpenAI side. Step 2: Set Up a New Assistant In this step, a new assistant is created using the "Create new Assistant" node. The assistant is given a name, description, and system prompt. The uploaded file from Step 1 is attached as a knowledge source for the assistant. Same as for Step 1, run this section only once. Step 3: Chat with the Assistant The "Chat Trigger" node initiates the conversation with the assistant. The "OpenAI Assistant" node handles the conversation, using the assistant created in Step 2. Step 4: Expand the Assistant This step provides resources for ideas on how to expand the Assistant's capabilities: Create a WhatsApp bot Create a simple Telegram bot Create a Telegram AI bot (YouTube video) By following this workflow, users can create their own AI-powered assistants using OpenAI's API and integrate them with various platforms like WhatsApp and Telegram.

Use case This workflow enables a Telegram bot that can: Accept speech input in one of 55 supported languages Automatically detect the language spoken and translate the speech to another language Responds back with the translated speech output. This allows users to communicate across language barriers by simply speaking to the bot, which will handle the translation seamlessly. How does it work? Translation In the translation step the workflow converts the user's speech input to text and detects the language of the input text. If it's English, it will translate to French. If it's French, it will translate to English. To change the default translation languages, you can update the prompt in the AI node. Output In the output step, we provide the translated text output back to the user and speech output is generated in the translated language. Setup steps Obtain Telegram API Token Start a chat with the BotFather. Enter /newbot and reply with your new bot's display name and username. Copy the bot token and use it in the Telegram node credentials in n8n. Update the Settings node to customize the desired languages Activate the flow Full list of supported languages All supported languages:

In this automation we first make a screenshot with a screenshot API called URLbox and then send this screenshot into the OpenAI API and analyze it. You can extend this automation by the way you want to ingest the website url's & names into this workflow. Options as data source: Postgres Google Sheets Your CRM ... Setup: Replace Website & URL in Setup Node Put in your URLbox API Key Put in your OpenAI credentials Click here for a blog article with more information on the automation.

Introduction: Streamline your fundamental stock analysis process with AI-powered automation. By harnessing the power of SEC 10K reports - comprehensive documents required by the SEC containing vital company information - this template automates the analysis workflow. From planning by a Senior Research Analyst to execution by five Research Analysts and final review by a Senior Editor, this template takes an AI persona approach to compose the report that includes an overview of the business, strategy, SWOT (Strengths, Weaknesses, Opportunities, and Threads) analysis, near term catalysts, and top risks. Additionally, this template allows you to control the length and detail of the report generated. How it works There are three personas in the workflow: Senior Research Analyst** is the first part of the workflow. They are responsible for planning the work for the rest of the team. Squad of Research Analysts** is the second part of the workflow. They execute the plan created. Senior Editor** is the third part of the workflow. They polish the draft report and send it to publish This template uses a custom tool that is able to answer the SEC 10K questions from the Research team. Setup steps Setup the Stock Q&A Workflow for the company you want to analyze using this template Customize the setup node by specifying the company to analyze Customize the publish step by specifying the file name in the Google docs node Credit Inspired by Guilio's template

Introduction The Traveler Co-Pilot empowers you to confidently traverse the world, connecting with ease and breaking language barriers: Engage in conversations with locals Navigate menus at foreign eateries Comprehend road signs effortlessly. Features Seamless Speech-to-Speech Translation** Communicate in any of the 55 supported languages, and witness the bot translate your words into another language in real-time, all through speech. Visual Translation Magic** Capture images containing text, and the bot will work its magic by recognizing and translating the text into the desired language, right before your eyes. Setup Steps Open the Settings node and specify the languages you would like to work with

Image Creation with OpenAI and Telegram Check this channel: AutoTechAi_bot Description: In the realm of automation and artificial intelligence, n8n offers a sophisticated platform for seamlessly integrating AI algorithms to enhance image creation and communication processes. This innovative workflow leverages the capabilities of OpenAI and Telegram to facilitate creative image generation and streamline communication channels, ultimately enhancing user engagement and interaction. How to Use: Set Up Credentials: Configure credentials for the Telegram account and OpenAI API to enable seamless integration. Configure Nodes: Telegram Trigger Node: Set up the node to initiate the workflow based on incoming messages from users on Telegram. OpenAI Node: Utilize advanced AI algorithms to analyze text content from messages and generate intelligent responses. Telegram Node: Send processed data, including images and responses, back to users on Telegram for seamless communication. Merge Node: Organize and combine processed data for efficient handling and integration within the workflow. Aggregate Node: Aggregate all item data, including binaries if specified, for comprehensive reporting and analysis purposes. Run Workflow: Initiate the workflow to leverage AI-enhanced image processing and communication capabilities for enhanced user interactions. Monitor Execution: Keep an eye on the workflow execution for any errors or issues that may occur during processing. Customize Workflow: Tailor the workflow nodes, parameters, or AI models to align with specific business objectives and user engagement strategies. Experience Benefits: Embrace the power of AI-driven image processing and interactive communication on Telegram to elevate user engagement and satisfaction levels. By following these steps, businesses can unlock the transformative potential of AI integration in image creation and communication workflows using n8n. Elevate your user engagement strategies and deliver exceptional experiences to your audience through innovative AI-driven solutions. Embark on a journey of innovation and efficiency with AI integration in image creation and communication workflows using n8n!

How it works: Webhook URL that responds to Requests with an AI generated Image based on the prompt provided in the URL. Setup Steps: Ideate your prompt URL Encode The Prompt (as shown in the Template) Authenticate with your OpenAI Credentials Put together the Webhook URL with your prompt and enter into a webbrowser In this way you can expose a public url to users, employee's etc. without exposing your OpenAI API Key to them. Click here to find a blog post with additional information.

Unleashing Creativity: Transforming Children's English Storytelling with Automation and AI Check this example: https://t.me/st0ries95 Summary In the realm of children's storytelling, automation is revolutionizing the way captivating tales are created and shared. This article highlights the transformative power of setting up a workflow for AI-powered children's English storytelling on Telegram. By delving into the use cases and steps involved, we uncover how this innovative approach is inspiring young minds and fostering a love for storytelling in children. Usecase The workflow for children's stories is a game-changer for content creators, educators, and parents seeking to engage children through imaginative and educational storytelling. Here's how this workflow is making a difference: Streamlined Content Creation: By providing a structured framework and automation for story generation, audio creation, and image production, the workflow simplifies the process of crafting captivating children's stories. Enhanced Educational Resources: Teachers can leverage this workflow to develop interactive educational materials that incorporate storytelling, making learning more engaging for students. Personalized Parental Engagement: Parents can share personalized stories with their children, nurturing a passion for reading and creativity while strengthening family bonds through shared storytelling experiences. Community Connection: Organizations and community groups can use the workflow to connect with their audience and promote literacy and creativity by creating and sharing children's stories. Inspiring Imagination: Through automated creation and sharing of enchanting stories, the workflow aims to spark imagination, inspire young minds, and instill a love for storytelling in children. Node Explanation OpenAI Chat Model: Utilizes the OpenAI Chat Model to generate text for the children's stories. Schedule Trigger: Triggers the workflow at set intervals (every 12 hours) to generate new stories. Recursive Character Text Splitter: Splits text into smaller chunks for processing. OpenAI Chat Model2: Another OpenAI Chat Model node for generating prompts for image creation. Send Story Text: Sends the generated story text to a specified Telegram chat. Send Audio for the Story: Sends audio files of the stories to the Telegram chat. Send Story Picture: Shares images related to the stories on Telegram. Create a Kids Stories: Generates captivating short tales for kids using prompts provided. Generate Audio for the Story: Converts generated text into audio files for storytelling. Create a Prompt for DALL-E: Creates prompts for generating images related to the stories. Generate a Picture for the Story: Generates pictures based on the prompts for visual storytelling. By embracing automation in children's storytelling, we unleash creativity, inspire young minds, and create magical experiences that resonate with both storytellers and listeners alike.

Template for Kids' Story in Arabic The n8n template for creating kids' stories in Arabic offers a versatile platform for storytellers to captivate young audiences with educational and interactive tales. It allows for customization to suit various use cases and can be set up effortlessly. Check this example: https://t.me/st0ries95 Use Cases Educational Platforms: Educational platforms can automate the creation and distribution of educational stories in Arabic for children using this template. By incorporating visual and auditory elements into the storytelling process, educational platforms can enhance learning experiences and engage young learners effectively. Children's Libraries: Children's libraries can utilize this template to curate and share a diverse collection of Arabic stories with young readers. The automated generation of visual content and audio files enhances the storytelling experience, encouraging children to immerse themselves in new worlds and characters through captivating narratives. Language Learning Apps: Language learning apps focused on Arabic can integrate this template to offer culturally rich storytelling experiences for children learning the language. By translating stories into Arabic and supplementing them with visual and auditory components, these apps can facilitate language acquisition in an enjoyable and interactive manner. Configuration Guide for Nodes OpenAI Chat Model Nodes: Functionality**: Allows interaction with the OpenAI GPT-4 Turbo model. Purpose**: Enables communication with advanced chat capabilities. Create a Prompt for DALL-E Node: Customization**: Tailor prompts for generating relevant visual content. Summarization**: Define prompts for visual content generation without text. Generate an Image for the Story Node: Resource Type**: Specifies image as the resource. Prompt Setup**: Configures prompt for textless image creation within the visual content. Generate Audio for the Story Node: Resource Type**: Chooses audio as the resource. Input Definition**: Sets input text for audio file generation. Translate the Story to Arabic Node: Chunking Mode Selection**: Allows advanced chunking mode choice. Summarization Configuration**: Sets method and prompts for story translation into Arabic. Send the Story To Channel Node: Channel ID**: Specifies the channel ID for sending the story text. Text Configuration**: Sets up the text to be sent to the channel. By following these node descriptions, users can effectively configure the n8n template for kids' stories in Arabic, tailoring it to specific use cases for a seamless and engaging storytelling experience for young audiences.

Example: @SubAlertMe_Bot Summary: The automated image analysis and response workflow using n8n is a sophisticated solution designed to streamline the process of analyzing images sent via Telegram and delivering insightful responses based on the analysis outcomes. This cutting-edge workflow employs a series of meticulously orchestrated nodes to ensure seamless automation and efficiency in image processing tasks. Use Cases: This advanced workflow caters to a myriad of scenarios where real-time image analysis and response mechanisms are paramount. The use cases include: Providing immediate feedback on images shared within Telegram groups. Enabling automated content moderation based on the analysis of image content. Facilitating rapid categorization and tagging of images based on the results of the analysis. Detailed Workflow Setup: To effectively implement this workflow, users must adhere to a meticulous setup process, which includes: Access to the versatile n8n platform, ensuring seamless workflow orchestration. Integration of a Telegram account to facilitate image reception and communication. Utilization of an OpenAI account for sophisticated image analysis capabilities. Configuration of Telegram and OpenAI credentials within the n8n environment for seamless integration. Proficiency in creating and interconnecting nodes within the n8n workflow for optimal functionality. Detailed Node Description: Get the Image (Telegram Trigger): Actively triggers upon receipt of an image via Telegram, ensuring prompt processing. Extracts essential information from the received image message to initiate further actions. Merge all fields To get data from trigger: Seamlessly amalgamates all relevant data fields extracted from the trigger node for comprehensive data consolidation. Analyze Image (OpenAI): Harnesses the powerful capabilities of OpenAI services to conduct in-depth analysis of the received image. Processes the image data in base64 format to derive meaningful insights from the visual content. Aggregate all fields: Compiles and consolidates all data items for subsequent processing and analysis, ensuring comprehensive data aggregation. Send Content for the Analyzed Image (Telegram): Transmits the analyzed content back to the Telegram chat interface for seamless communication. Delivers the analyzed information in textual format, enhancing user understanding and interaction. Switch Node: The Switch node is pivotal for decision-making based on predefined conditions within the workflow. It evaluates incoming data to determine the existence or absence of specific elements, such as images in this context. Utilizes a set of rules to assess the presence of image data in the message payload and distinguishes between cases where images are detected and when they are not. This crucial node plays a pivotal role in directing the flow of the workflow based on the outcomes of its evaluations. Conclusion: The automation of image analysis processes through this sophisticated workflow not only enhances operational efficiency but also revolutionizes communication dynamics within Telegram interactions. By incorporating this advanced workflow solution, users can optimize their image analysis workflows, bolster communication efficacy, and unlock new levels of automation in image processing tasks.

Automated YouTube Video Promotion Workflow Automate the promotion of new YouTube videos on X (formerly Twitter) with minimal effort. This workflow is perfect for content creators, marketers, and social media managers who want to keep their audience updated with fresh content consistently. How it works This workflow triggers every 30 minutes to check for new YouTube videos from a specified channel. If a new video is found, it utilizes OpenAI's ChatGPT to craft an engaging, promotional message for X. Finally, the workflow posts the generated message to Twitter, ensuring your latest content is shared with your audience promptly. Set up steps Schedule the workflow to run at your desired frequency. Connect to your YouTube account and set up the node to fetch new videos based on your Channel ID. Integrate with OpenAI to generate promotional messages using GPT-3.5 turbo. Link to your X account and set up the node to post the generated content. Please note, you'll need API keys and credentials for YouTube, OpenAI, and X. Check out this quick video tutorial to make the setup process a breeze. Additional Tips Customize the workflow to match your branding and messaging tone. Test each step to ensure your workflow runs smoothly before going live.

Boost engagement on your Discord server by automatically sharing new YouTube videos along with AI generated summaries of their content. This workflow is ideal for content creators and community managers looking to provide value and spark interest through summarized content, making it easier for community members to decide if a video is of interest to them. Watch this video tutorial to learn more about the template. How it works RSS Feed Trigger**: Monitors your YouTube channel for new uploads using the RSS feed. Video Captions Retrieval**: Fetches video captions using the YouTube API to get detailed content data. AI Summary Generation**: Uses an AI model to generate concise summaries from the video captions, highlighting key points. Discord Notification**: Posts video announcements along with their AI generated summaries to a specified Discord channel using a webhook. Set up steps Configure YouTube RSS Feed: Set up the RSS feed node to detect new video uploads. Add your YouTube channel ID to the URL in the first node: https://www.youtube.com/feeds/videos.xml?channel_id=YOUR_CHANNEL_ID. Connect OpenAI Account: To enable AI summary generation, connect your OpenAI account in n8n. Set Up Discord Webhook: Create a webhook in your Discord server and configure it in the Discord node. Design the Message: Format the Discord message as you like to include the video title, link, and the AI generated summary. Example This template empowers you to maintain a highly engaging Discord community, ensuring members receive not only regular updates but also valuable insights into each video's content without needing to watch immediately.

This template is based on the following template. Thank you for the groundwork, Matheus. How it works: Store your snippets of text in a Notion table. Each snippet should have an image associated with it (copy + pasted into the text) Connect to your table via a Notion "integration", from which N8N can then query your pre-meditated posts The text is fed through an OpenAI assistant to boost engagement via formatting The re-formatted text along with the image pulled from the Notion snippet are combined into a post for your LinkedIn The row in the original Notion table from step 1 containing this post is set to a status of "Done" Set up steps: You will need to create a Notion "integration", which will yield a "secret key" which you enter into your N8N as a "Credential". You will need to create a LinkedIn "app" in order to post on your behalf. When creating your LinkedIn "app", you will be required to link this "app" to a company page on LinkedIn. If you are doing this for yourself, seach for the "Default Company Payge (for API testing)", and select this page as it is provided by LinkedIn for individuals. You can find your LinkedIn apps here, and if you get stuck, further instructions on setting up this workflow (including this LinkedIn OAuth piece) can be found in this YouTube Video Aide to these instructions. Lastly, you will need to create an OpenAI API key, found on your OpenAI Playground Dashboard. Once you created an API key, make sure you have an assistant created from the "Assistants" tab on the OpenAI dashboard. This assistant and its instructions will be needed for carrying out the re-formatting of your post.

This workflow enriches new Pipedrive organization's data by adding a note to the organization object in Pipedrive. It assumes there is a custom "website" field in your Pipedrive setup, as data will be scraped from this website to generate a note using OpenAI. Then, a notification is sent in Slack. ⚠️ Disclaimer This workflow uses a scraping API. Before using it, ensure you comply with the regulations regarding web scraping in your country or state. Important Notes The OpenAI model used is GPT-4o, chosen for its large input token capacity. However, it is not the cheapest model if cost is very important to you. The system prompt in the OpenAI Node generates output with relevant information, but feel free to improve or modify it according to your needs. How It Works Node 1: Pipedrive Trigger - An Organization is Created This is the trigger of the workflow. When an organization object is created in Pipedrive, this node is triggered and retrieves the data. Make sure you have a "website" custom field in Pipedrive (the name of the field in the n8n node will appear as a random ID and not with the Pipedrive custom field name). Node 2: ScrapingBee - Get Organization's Website's Homepage Content This node scrapes the content from the URL of the website associated with the Pipedrive Organization created in Node 1. The workflow uses the ScrapingBee API, but you can use any preferred API or simply the HTTP request node in n8n. Node 3: OpenAI - Message GPT-4o with Scraped Data This node sends HTML-scraped data from the previous node to the OpenAI GPT-4o model. The system prompt instructs the model to extract company data, such as products or services offered and competitors (if known by the model), and format it as HTML for optimal use in a Pipedrive Note. Node 4: Pipedrive - Create a Note with OpenAI Output This node adds a Note to the Organization created in Pipedrive using the OpenAI node output. The Note will include the company description, target market, selling products, and competitors (if GPT-4o was able to determine them). Node 5 & 6: HTML To Markdown & Code - Markdown to Slack Markdown These two nodes format the HTML output to Slack Markdown. The Note created in Pipedrive is in HTML format, as specified by the System Prompt of the OpenAI Node. To send it to Slack, it needs to be converted to Markdown and then to Slack Markdown. Node 7: Slack - Notify This node sends a message in Slack containing the Pipedrive Organization Note created with this workflow.

This n8n workflow demonstrates how to automate oftern time-consuming form filling tasks in the early stages of the tendering process; the Request for Proposal document or "RFP". It does this by utilising a company's knowledgebase to generating question-and-answer pairs using Large Language Models. How it works A buyer's RFP is submitted to the workflow as a digital document that can be parsed. Our first AI agent scans and extracts all questions from the document into list form. The supplier sets up an OpenAI assistant prior loaded with company brand, marketing and technical documents. The workflow loops through each of the buyer's questions and poses these to the OpenAI assistant. The assistant's answers are captured until all questions are satisified and are then exported into a new document for review. A sales team member is then able to use this document to respond quickly to the RFP before their competitors. Example Webhook Request curl --location 'https://<n8n_webhook_url>' \ --form 'id="RFP001"' \ --form 'title="BlueChip Travel and StarBus Web Services"' \ --form 'reply_to="jim@example.com"' \ --form 'data=@"k9pnbALxX/RFP Questionnaire.pdf"' Requirements An OpenAI account to use AI services. Customising the workflow OpenAI assistants is only one approach to hosting a company knowledgebase for AI to use. Exploring different solutions such as building your own RAG-powered database can sometimes yield better results in terms of control of how the data is managed and cost.

This n8n workflow shows an easy way to automate the creation of social media assets using AI and a service like BannerBear. Designed for the busy marketer, leveraging AI image generation capabilities can help cut down production times and allow reinvesting into higher quality content. How it works This workflow generates social media banners for online events. Using a form trigger, a user can define the banner text and suggest an image to be generated. This request is passed to OpenAI's Dalle-3 image generation service to produce a relevant graphic for the event banner. This generated image is uploaded and sent to BannerBear where a template will use it and the rest of the form data to produce the banner. BannerBear returns the final banner which can now be used in an assortment of posts and publications. Requirements A BannerBear.com account and template is required An OpenAI account to use the Dalle-3 service. Customising the workflow We've only shown a small section of what BannerBear has to offer. With experimentation and other asset generating services such as AI audio and video, you should be able to generate more than just static banners!

This n8n workflow assists property managers and surveyors by reducing the time and effort it takes to complete property inventory surveys. In such surveys, articles and goods within a property may need to be captured and reported as a matter of record. This can take a sizable amount of time if the property or number of items is big enough. Our solution is to delegate this task to a capable AI Agent who can identify and fill out the details of each item automatically. How it works An AirTable Base is used to capture just the image of an item within the property Our workflow monitoring this AirTable Base sends the photo to an AI image recognition model to describe the item for purpose of identification. Our AI agent uses this description and the help of Google's reverse image search in an attempt to find an online product page for the item. If found, the product page is scraped for the item's specifications which are then used to fill out the rest of the details of the item in our Airtable. Requirements Airtable for capturing photos and product information OpenAI account to for image recognition service and AI for agent SerpAPI account for google reverse image search. Firecrawl.dev account for webspacing. Customising this workflow Try building an internal inventory database to query and integrate into the workflow. This could save on costs by avoiding fetching new each time for common items.

This n8n template demonstrates an approach to image embeddings for purpose of building a quick image contextual search. Use-cases could for a personal photo library, product recommendations or searching through video footage. How it works A photo is imported into the workflow via Google Drive. The photo is processed by the edit image node to extract colour information. This information forms part of our semantic metadata used to identify the image. The photo is also processed by a vision-capable model which analyses the image and returns a short description with semantic keywords. Both pieces of information about the image are combined with the metadata of the image to form a document describing the image. This document is then inserted into our vector store as a text embedding which is associated with our image. From here, the user can query the vector store as they would any document and the relevant image references and/or links should be returned. Requirements Google account to download image files from Google Drive. OpenAI account for the Vision-capable AI and Embedding models. Customise this workflow Text summarisation is just one of many techniques to generate image embeddings. If the results are unsatisfactory, there are dedicated image embedding models such as Google's vertex AI multimodal embeddings.

Who is this for? This workflow is ideal for developers, content creators, or customer support teams looking to automate text-to-speech conversion using OpenAI. What problem does this solve? It automates the process of converting text inputs into speech, reducing manual effort and enhancing productivity. What this workflow does: This workflow triggers when a text input is received via a webhook, converts it into audio using the OpenAI API, and sends the generated speech back through a webhook response. Setup: Ensure you have an OpenAI API key (you can get it from OpenAI website). Set up the webhook URL and parameters. Configure the OpenAI node with your API key (Create New Credentials). set up the responde to webhook node.

This workflow is a experiment to build HTML pages from a user input using the new Structured Output from OpenAI. How it works: Users add what they want to build as a query parameter The OpenAI node generate an interface following a structured output defined in the body The JSON output is then converted to HTML along with a title The HTML is encapsulated in an HTML node (where the Tailwind css script is added) The HTML is rendered to the user via the Webhook response. Set up steps Create an OpenAI API Key Create the OpenAI credentials Use the credentials for both nodes HTTP Request (as Predefined Credential type) and OpenAI Activate your workflow Once active, go to the production URL and add what you'd like to build as the parameter "query" Example: https://production_url.com?query=a%20signup%20form Example of generated page

How it works This workflow adds a priority to each Todoist item in your inbox, based on a list of projects that you add in the workflow. Setup Add your Todoist credentials Add your OpenAI credentials Set your project names and add priority

Who is this for? This workflow is designed for businesses or developers looking to integrate voice-based chat applications with dynamic responses and conversational memory. What problem does this solve? It automates AI-powered voice conversations, maintaining context between sessions and converting speech-to-text and text-to-speech. What this workflow does: The workflow receives audio input, transcribes it using OpenAI, and processes the conversation using Google Gemini Chat Model (you can use OpenAI Chat Model). Responses are converted back to speech using ElevenLabs. Prerequisites: You'll need API keys for: OpenAI (you can obtain it from OpenAI website) ElevenLabs (you can obtain it from their website) Google Gemini (You can obtain it from Google AI Studio) Setup: Configure you API keys Ensure that the value (voice_message) in the "Path" parameter in the Webhook node is used as the name of the parameter that will contain the voice message you are sending via the HTTP Post request.

Enhance Security Operations with the Venafi Slack CertBot! Venafi Presentation - Watch Video Our Venafi Slack CertBot is strategically designed to facilitate immediate security operations directly from Slack. This tool allows end users to request Certificate Signing Requests that are automatically approved or passed to the Secops team for manual approval depending on the Virustotal analysis of the requested domain. Not only does this help centralize requests, but it helps an organization maintain the security certifications by allowing automated processes to log and analyze requests in real time. Workflow Highlights: Interactive Modals**: Utilizes Slack modals to gather user inputs for scan configurations and report generation, providing a user-friendly interface for complex operations. Dynamic Workflow Execution**: Integrates seamlessly with Venafi to execute CSR generation and if any issues are found, AI can generate a custom report that is then passed to a slack teams channel for manual approval with the press of a single button. Operational Flow: Parse Webhook Data**: Captures and parses incoming data from Slack to understand user commands accurately. Execute Actions**: Depending on the user's selection, the workflow triggers other actions within the flow like automatic Virustotal Scanning. Respond to Slack**: Ensures that every interaction is acknowledged, maintaining a smooth user experience by managing modal popups and sending appropriate responses. Setup Instructions: Verify that Slack and Qualys API integrations are correctly configured for seamless interaction. Customize the modal interfaces to align with your organization's operational protocols and security policies. Test the workflow to ensure that it responds accurately to Slack commands and that the integration with Qualys is functioning as expected. Need Assistance? Explore Venafi's Documentation or get help from the n8n Community for more detailed guidance on setup and customization. Deploy this bot within your Slack environment to significantly enhance the efficiency and responsiveness of your security operations, enabling proactive management of CSR's.

What this template does The Ultimate Scraper for n8n uses Selenium and AI to retrieve any information displayed on a webpage. You can also use session cookies to log in to the targeted webpage for more advanced scraping needs. ⚠️ Important: This project requires specific setup instructions. Please follow the guidelines provided in the GitHub repository: n8n Ultimate Scraper Setup : https://github.com/Touxan/n8n-ultimate-scraper/tree/main. The workflow version on n8n and the GitHub project may differ; however, the most up-to-date version will always be the one available on the GitHub repository : https://github.com/Touxan/n8n-ultimate-scraper/tree/main. How to use Deploy the project with all the requirements and request your webhook. Example of request: curl -X POST http://localhost:5678/webhook-test/yourwebhookid \ -H "Content-Type: application/json" \ -d '{ "subject": "Hugging Face", "Url": "github.com", "Target data": [ { "DataName": "Followers", "description": "The number of followers of the GitHub page" }, { "DataName": "Total Stars", "description": "The total numbers of stars on the different repos" } ], "cookie": [] }' Or to just scrap a url : curl -X POST http://localhost:5678/webhook-test/67d77918-2d5b-48c1-ae73-2004b32125f0 \ -H "Content-Type: application/json" \ -d '{ "Target Url": "https://github.com", "Target data": [ { "DataName": "Followers", "description": "The number of followers of the GitHub page" }, { "DataName": "Total Stars", "description": "The total numbers of stars on the different repo" } ], "cookies": [] }' `

Workflow Description: This n8n workflow automates the drafting of email replies for Fastmail using OpenAI's GPT-4 model. Here’s the overall process: Email Monitoring: The workflow continuously monitors a specified IMAP inbox for new, unread emails. Email Data Extraction: When a new email is detected, it extracts relevant details such as the sender, subject, email body, and metadata. AI Response Generation: The extracted email content is sent to OpenAI's GPT-4, which generates a personalized draft response. Get Fastmail Session and Mailbox IDs: Connects to the Fastmail API to retrieve necessary session details and mailbox IDs. Draft Identification: Identifies the "Drafts" folder in the mailbox. Draft Preparation: Compiles all the necessary information to create the draft, including the generated response, original email details, and specified recipient. Draft Uploading: Uploads the prepared draft email to the "Drafts" folder in the Fastmail mailbox. Prerequisites: IMAP Email Account: You need to configure an IMAP email account in n8n to monitor incoming emails. Fastmail API Credentials: A Fastmail account with JMAP API enabled. You should set up HTTP Header authentication in n8n with your Fastmail API credentials. OpenAI API Key: An API key from OpenAI to access GPT-4. Make sure to configure the OpenAI credentials in n8n. Configuration Steps: Email Trigger (IMAP) Node: Provide your email server settings and credentials to monitor emails. HTTP Request Nodes for Fastmail: Set up HTTP Header authentication in n8n using your Fastmail API credentials. Replace the httpHeaderAuth credential IDs with your configured credential IDs. OpenAI Node: Configure the OpenAI API key in n8n. Replace the openAiApi credential ID with your configured credential ID. By following these steps and setting up the necessary credentials, you can seamlessly automate the creation of email drafts in response to new emails using AI-generated content. This workflow helps improve productivity and ensures timely, personalized communication.

This n8n workflow demonstrates how to automate a large-scale personalized promotional email campaign, leveraging artificial intelligence to generate unique content for each recipient. Save time and increase the effectiveness of your marketing campaigns by allowing AI to handle the creation of personalized content and email sending. How it works: The workflow fetches recipient data from a Google Sheets document. It validates email addresses and checks if recipients haven't been contacted before. For each valid recipient, the AI agent (using GPT-3.5) generates a personalized email including the recipient's name, product introduction, exclusive offer, and a unique promotional link. The personalized email is sent via SMTP to the recipient. The workflow updates the Google Sheet to mark the recipient as contacted. A random delay is introduced between emails to mimic natural sending patterns and avoid triggering spam filters. Requirements: Google Sheets account for storing and managing recipient data. OpenAI account for access to the GPT-3.5 model. SMTP server for sending emails. Customizing the workflow: This example focuses on sending personalized promotional emails, but it could be extended to include follow-up sequences, tracking email opens and clicks, or integrating with a CRM system for more comprehensive customer management.

Overview This workflow answers user requests sent via Mac Shortcuts Several Shortcuts call the same webhook, with a query and a type of query Types of query are: translate to english translate to spanish correct grammar (without changing the actual content) make content shorter make content longer How it works Select a text you are writing Launch the shortcut The text is sent to the webhook Depending on the type of request, a different prompt is used Each request is sent to an OpenAI node The workflow responds to the request with the response from GPT Shortcut replace the selected text with the new one For a demo and setup instructions: How to use it Activate the workflow Download this Shortcut template Install the shortcut In step 2 of the shortcut, change the url of the Webhook In Shortcut details, "add Keyboard Shortcut" with the key you want to use to launch the shortcut Go to settings, advanced, check "Allow running scripts" You are ready to use the shortcut. Select a text and hit the keyboard shortcut you just defined

Purpose of workflow: The purpose of this workflow is to automatically transform complex, lengthy PDFs into concise, insightful blog posts. This process aims to make dense information more accessible and understandable to a broader audience. How it works: Multi-agent team: Working together to transform PDF to insightful blog Content Analyst: Extracts key information and structure from the PDF. Project Planner: Organizes the workflow and ensures efficient processing. Writers: Multiple agents that craft engaging content based on the analyzed information. Editor: Polishes the final output for accuracy, reliability, and readability. Step by step User inputs parameters via a n8n form (tone, word count, sections, PDF file). System extracts text from the PDF. Content Analyst AI agent analyzes the extracted text, identifying main topics and key points. Project Planner AI agent organizes the workflow, creating a structure for the blog post. Multiple Writer AI agents (based on the number of sections specified) each write a portion of the blog post. Editor AI agent combines all sections and polishes the final draft. Generates a title for the blog post. Final content is uploaded to a publishing Ghost platform

How it works: This project creates a personal AI assistant named Angie that operates through Telegram. Angie can summarize daily emails, look up calendar entries, remind users of upcoming tasks, and retrieve contact information. The assistant can interact with users via both voice and text inputs. Step-by-step: Telegram Trigger: The workflow starts with a Telegram trigger that listens for incoming message events. The system determines if the incoming message is voice or text. If voice, the voice file is retrieved and transcribed to text using OpenAI's API Speech to Text AI Assistant: The telegram request is passed to the AI assistant (Angie). Tools Integration: The AI assistant is equipped with several tools: Get Email: Uses Gmail API to fetch recent emails, filtering by date. Get Calendar: Retrieves calendar entries for specified dates. Get Tasks: Connects to a Baserow (open-source Airtable alternative) database to fetch to-do list items. Get Contacts: Also uses Baserow to retrieve contact information. Response Generation: The AI formulates a response based on the gathered information and sends back to the user on Telegram

This n8n template takes a video and extracts frames from it which are used with a multimodal LLM to generate a script. The script is then passed to the same multimodal LLM to generate a voiceover clip. This template was inspired by Processing and narrating a video with GPT's visual capabilities and the TTS API How it works Video is downloaded using the HTTP node. Python code node is used to extract the frames using OpenCV. Loop node is used o batch the frames for the LLM to generate partial scripts. All partial scripts are combined to form the full script which is then sent to OpenAI to generate audio from it. The finished voiceover clip is uploaded to Google Drive. Sample the finished product here: https://drive.google.com/file/d/1-XCoii0leGB2MffBMPpCZoxboVyeyeIX/view?usp=sharing Requirements OpenAI for LLM Ideally, a mid-range (16GB RAM) machine for acceptable performance! Customising this workflow For larger videos, consider splitting into smaller clips for better performance Use a multimodal LLM which supports fully video such as Google's Gemini.

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.

Use Case Transform and optimize images for web use: You need to host local images online You want to reduce image file sizes automatically You need image URLs for web content You want to generate and optimize AI-created images What this Workflow Does The workflow processes images through two services: Uploads images to ImgBB for hosting and URL generation (free but need API key) Optimizes images using ReSmush.it to reduce file size (free) Optional: Creates images using OpenAI's image generation Returns optimized image URLs ready for use Setup Create an ImgBB account and get your API key Add your ImgBB API key to the HTTP Request node (key parameter) Optional: Configure OpenAI credentials for image generation Connect your image input source How to Adjust it to Your Needs Skip OpenAI nodes if using your own image files Adjust image optimization parameters Customize image hosting settings Modify output format for your needs More templates and n8n workflows >>> @simonscrapes

AI Content Generator Workflow Introduction This workflow automates the process of creating high-quality articles using AI, organizing them in Google Drive, and tracking their progress in Google Sheets. It's perfect for marketers, bloggers, and businesses looking to streamline content creation. With minimal setup, you can have a fully operational system to generate, save, and manage your articles in one cohesive workflow. How It Works Collect Inputs: Users fill out a form with details like article title, keywords, and instructions. Generate Content: AI creates an outline and writes the article based on user inputs. Organize Files: Saves the outline and final article in Google Drive for easy access. Track Progress: Updates Google Sheets with links to the generated content for tracking. Set Up Steps Time Required**: Approximately 15–20 minutes to connect all integrations and test the workflow. Steps**: Connect Google Drive and Google Sheets: Authorize access to store files and update the spreadsheet. Set Up OpenAI Integration: Add your OpenAI API key for generating the outline and article content. Customize the Form: Modify the form fields to match the details you want to collect for each article. Test the Workflow: Run the workflow with sample inputs to ensure everything works smoothly. This workflow not only simplifies the process of article creation but also sets a foundation for expanding into additional automations, like posting to social media platforms.

Search music and play to Spotify from Telegram This workflow is a simple demonstration on accessing a message model from Telegram and it makes searching for songs an easy task even if you can't remember the artist or song name. An OpenAI message model tries to figure out the song and sends it to an active Spotify device**. Use case Imagine an office where you play music in the background and the employees can control the music without having to login to the playing account. How it works You describe the song in Telegram. Telegram bot sends the text to n8n. An OpenAI message model tries to find the song. Spotify gets the search query string. First match is then added to queue. -- If there is no match a message is sent to Telegram and the process ends. We change to the next track in the list. We make sure the song starts playing by trying to resume. We fetch the currently playing track. We return "now playing" information to Telegram: Song Name - Artist Name - Album Name. Error handling Every Spotify step has it's on error handler under settings where we output the error. Message parser receives the error and sends it to Telegram. Requirements Active workflow* OpenAI API key Telegram bot Spotify account and Oauth2 API Spotify active on a device** .* The Telegram trigger is activated only if this workflow is active. You can however TEST the workflow in the editor by clicking "Test step" and then it waits for the Telegram event. When event is received, just step through all steps or just clicking "Test step" on the "Fetch Now Playing" node. .** You must have a Spotify device active when trying to communicate with a device. Open Spotify and play something - not it is active.

Free template for voice & text messages with short-term memory This n8n workflow template is a blueprint for an AI Telegram bot that processes both voice and text messages. Ready to use with minimal setup. The bot remembers the last several messages (10 by default), understands commands and provides responses in HTML. You can easily swap GPT-4 and Whisper for other language and speech-to-text models to suit your needs. Core Features Text: send or forward messages Voice: transcription via Whisper Extend this template by adding LangChain tools. Requirements Telegram Bot API OpenAI API (for GPT-4 and Whisper) 💡 New to Telegram bots? Check our step-by-step guide on creating your first bot and setting up OpenAI access. Use Cases Personal AI assistant Customer support automation Knowledge base interface Integration hub for services that you use: Connect to any API via HTTP Request Tool Trigger other n8n workflows with Workflow Tool

Hacker News to Video Content Overview This workflow converts trending articles from Hacker News into engaging video content. It integrates AI-based tools to analyze, summarize, and generate multimedia content, making it ideal for content creators, educators, and marketers. Features Article Retrieval: Pulls trending articles from Hacker News. Limits the number of articles to process (configurable). Content Analysis: Uses OpenAI's GPT model to: Summarize articles. Assess their relevance to specific topics like automation or AI. Extract key image URLs. Image and Video Generation: Leonardo.ai: Creates stunning AI-generated images based on extracted prompts. RunwayML: Converts images into high-quality videos. Structured Content Creation: Parses content into structured formats for easy reuse. Generates newsletter-friendly blurbs and social media-ready captions. Cloud Integration: Uploads generated assets to: Dropbox Google Drive Microsoft OneDrive MinIO Social Media Posting (Optional): Supports posting to YouTube, X (Twitter), LinkedIn, and Instagram. Workflow Steps 1. Trigger Initiated manually via the "Test Workflow" button. 2. Fetch Articles Retrieves articles from Hacker News. Limits the results to avoid processing overload. 3. Content Filtering Evaluates if articles are related to AI/Automation using OpenAI's language model. 4. Image and Video Generation Generates: AI-driven image prompts via Leonardo.ai. Videos using RunwayML. 5. Asset Management Saves the output to cloud storage services or uploads directly to social media platforms. Prerequisites API Keys**: Hacker News OpenAI Leonardo.ai RunwayML Creatomate n8n Installation**: Ensure n8n is installed and configured locally or on a server. Credentials**: Set up credentials in n8n for all external services used in the workflow. Customization Replace Hacker News with any other data source node if needed. Configure the "Article Analysis" node for different topics. Adjust the cloud storage services or add custom storage options. Usage Import this workflow into your n8n instance. Configure your API credentials. Trigger the workflow manually or schedule it as needed. Check the outputs in your preferred cloud storage or social media platform. Notes Extend this workflow further by automating social media posting or newsletter integration. For any questions, refer to the official documentation or reach out to the creator. About the Creator This workflow was built by AlexK1919, an AI-native workflow automation architect. Check out the overview video for a quick demo. Tools Used Leonardo.ai** RunwayML** Creatomate** Hacker News API** OpenAI GPT** Feel free to adapt and extend this workflow to meet your specific needs! 🎉

How it works Automates the retrieval of Calvin and Hobbes daily comics. Extracts the comic image URL from the website. Translates comic dialogues to English and Korean. Posts the comic and translations to Discord daily. Set up steps Estimated setup time: ~10-15 minutes. Use a Schedule Trigger to automate the workflow at 9 AM daily. Add nodes for parameter setup, HTTP request, data extraction, and integration with Discord. Add detailed notes to each node in the workflow for easy understanding.

YouTube to X Post Overview This n8n workflow automates the process of promoting your latest YouTube videos on X (formerly Twitter). It ensures that posts are engaging, concise, and follow platform-specific requirements. Additionally, the workflow logs social posts into a Google Sheet for record-keeping. Features Fetch Latest YouTube Videos:** Pulls recently uploaded videos from a specified channel. Generate Engaging X Posts:** Uses OpenAI's GPT-4 to create tailored, witty posts about your videos. Character Limit Validation:** Ensures posts comply with X's character limit by rewriting if necessary. Post Scheduling:** Automates post publishing to X. Google Sheets Integration:** Logs posts and their status for tracking and management. Optional Notifications:** Sends updates via Discord, Slack, or Gmail (disabled by default). How It Works Trigger: Manually trigger the workflow or set a scheduled check for new videos (disabled by default). Fetch YouTube Videos: Retrieves the latest videos from your YouTube channel, filtering duplicates. Content Creation: OpenAI generates a witty and humanized post under 220 characters, using video title and description. If the post exceeds the character limit, it is rewritten automatically. Google Sheets Logging: Logs the generated post to a Google Sheet with details like time, date, and post status. Post to X: Publishes the generated post on X. Updates the Google Sheet with the post URL. Optional Notifications: Sends notifications about the published post via Discord, Slack, or Gmail. Setup Instructions Credentials: Add credentials for: YouTube API OpenAI API Google Sheets API X (formerly Twitter) API Use the accounts associated with "AlexK1919." YouTube Node: Specify your YouTube Channel ID in the Fetch Latest Videos node. Find your Channel ID here. Google Sheets Node: Configure the node with your Google Sheet for logging posts. Use the linked sheet: AlexK1919 Social Posts. OpenAI Node: Set up your OpenAI API key for generating posts. X Post Node: Connect your X account to the Post to X node. Optional Notifications: Configure Discord, Slack, or Gmail nodes for custom notifications. Customization Schedule:** Enable and modify the Check Every 2 Hours node to automatically check for new videos. Post Format:** Edit the OpenAI prompt in the Generate X Post node to tweak the tone or style of the generated posts. Additional Platforms:** Expand this workflow to post on other social platforms by adding respective nodes (e.g., Facebook, LinkedIn). Notes Posts are validated for character limits but are restricted to 220 characters to ensure compliance with X's guidelines and leave space for links. Posts are logged in the Google Sheet with details, including post status and timestamps. Current integrations are focused on promoting YouTube content; additional types can be supported with minor adjustments. Contact For support or inquiries: Alex Kim** About Me

Printify Automation - Update Title and Description Workflow This n8n workflow automates the process of retrieving products from Printify, generating optimized product titles and descriptions, and updating them back to the platform. It leverages OpenAI for content generation and integrates with Google Sheets for tracking and managing updates. Features Integration with Printify**: Fetch shops and products through Printify's API. AI-Powered Optimization**: Generate engaging product titles and descriptions using OpenAI's GPT model. Google Sheets Tracking**: Log and manage updates in Google Sheets. Custom Brand Guidelines**: Ensure consistent tone by incorporating brand-specific instructions. Loop Processing**: Iteratively process each product in batches. Workflow Structure Nodes Overview Manual Trigger: Manually start the workflow for testing purposes. Printify - Get Shops: Retrieves the list of shops from Printify. Printify - Get Products: Fetches product details for each shop. Split Out: Breaks down the product list into individual items for processing. Loop Over Items: Iteratively processes products in manageable batches. Generate Title and Desc: Uses OpenAI GPT to create optimized product titles and descriptions. Google Sheets Integration: Trigger: Monitors Google Sheets for changes. Log Updates: Records product updates, including old and new titles/descriptions. Conditional Logic: If Nodes: Ensure products are ready for updates and stop processing once completed. Printify - Update Product: Sends updated titles and descriptions back to Printify. Brand Guidelines + Custom Instructions: Sets brand tone and seasonal instructions. Setup Instructions Prerequisites n8n Instance: Ensure n8n is installed and configured. Printify API Key: Obtain an API key from your Printify account. Add it to n8n under HTTP Header Auth. OpenAI API Key: Obtain an API key from OpenAI. Add it to n8n under OpenAI API. Google Sheets Integration: Share your Google Sheets with the Google API service account. Configure Google Sheets credentials in n8n. Workflow Configuration Set Brand Guidelines: Update the Brand Guidelines + Custom Instructions node with your brand name, tone, and seasonal instructions. Batch Size: Configure the Loop Over Items node for optimal batch sizes. Google Sheets Configuration: Set the correct Google Sheets document and sheet names in the integration nodes. Run the Workflow: Start manually or configure the workflow to trigger automatically. Key Notes Customization**: Modify API calls to support other platforms like Printful or Vistaprint. Scalability**: Use batch processing for efficient handling of large product catalogs. Error Handling**: Configure retries or logging for any failed nodes. Output Examples Optimized Content Example Input Title**: "Classic White T-Shirt" Generated Title**: "Stylish Classic White Tee for Everyday Wear" Input Description**: "Plain white T-shirt made of cotton." Generated Description**: "Discover comfort and style with our classic white tee, crafted from premium cotton for all-day wear. Perfect for casual outings or layering." Next Steps Monitor Updates: Use Google Sheets to review logs of updated products. Expand Integration: Add support for more Printify shops or integrate with other platforms. Enhance AI Prompts: Customize prompts for different product categories or seasonal needs. Feel free to reach out for additional guidance or troubleshooting!

This n8n template shows how anyone can build a simple newsletter-like subscription service where users can enrol themselves to receive messages/content on a regular basis. It uses n8n forms for data capture, Airtable for database, AI for content generation and Gmail for email sending. How it works An n8n form is setup up to allow users to subscribe with a desired topic and interval of which to recieve messages via n8n forms which is then added to the Airtable. A scheduled trigger is executed every morning and searches for subscribers to send messages for based on their desired intervals. Once found, Subscribers are sent to a subworkflow which performs the text content generation via an AI agent and also uses a vision model to generate an image. Both are attached to an email which is sent to the subscriber. This email also includes an unsubscribe link. The unsubscribe flow works similarly via n8n form interface which when submitted disables further scheduled emails to the user. How to use Make a copy of sample Airtable here: https://airtable.com/appL3dptT6ZTSzY9v/shrLukHafy5bwDRfD Make sure the workflow is "activated" and the forms are available and reachable by your audience. Requirements Airtable for Database OpenAI for LLM (but compatible with others) Gmail for Email (but can be replaced with others) Customising this workflow This simple use can be extended to deliver any types of content such as your company newsletter, promotions, social media posts etc. Doesn't have to be limited to just email - try social messaging, Whatsapp, Telegram and others.

Video Guide I prepared a detailed guide to help you set up your workflow effectively, enabling you to extract insights from YouTube for content generation using an AI agent. Youtube Link Who is this for? This workflow is ideal for content creators, marketers, and analysts looking to enhance their YouTube strategies through data-driven insights. It’s particularly beneficial for individuals wanting to understand audience preferences and improve their video content. What problem does this workflow solve? Navigating the content generation and optimization process can be complex, especially without significant audience insight. This workflow automates insights extraction from YouTube videos and comments, empowering users to create more engaging and relevant content effectively. What this workflow does The workflow integrates various APIs to gather insights from YouTube videos, enabling automated commentary analysis, video transcription, and thumbnail evaluation. The main functionalities include: Extracting user preferences from comments. Transcribing video content for enhanced understanding. Analyzing thumbnails via AI for maximum viewer engagement insights. AI Insights Extraction: Automatically pulls comments and metrics from selected YouTube creators to evaluate trends and gaps. Dynamic Video Planning: Uses transcriptions to help creators outline video scripts and topics based on audience interest. Thumbnail Assessment: Provides analysis on thumbnail designs to improve click-through rates and viewer attraction. Setup N8N Workflow API Setup: Create a Google Cloud project and enable the YouTube Data API. Generate an API key to be included in your workflow requests. YouTube Creator and Video Selection: Start by defining a request to identify top creators based on their video views. Capture the YouTube video IDs for further analysis of comments and other video metrics. Comment Analysis: Gather comments associated with the selected videos and analyze them for user insights. Video Transcription: Utilize the insights from transcriptions to formulate content plans. Thumbnail Analysis: Evaluate your video thumbnails by submitting the URL through the OpenAI API to gain insights into their effectiveness.

Workflow Description Your workflow is an intelligent chatbot, using ++OpenAI assistant++, integrated with a backend that supports WhatsApp Business, designed to handle various use cases such as sales and customer support. Below is a breakdown of its functionality and key components: Workflow Structure and Functionality Chat Input (Chat Trigger) The flow starts by receiving messages from customers via WhatsApp Business. Collects basic information, such as session_id, to organize interactions. Condition Check (If Node) Checks if additional customer data (e.g., name, age, dependents) is sent along with the message. If additional data is present, a customized prompt is generated, which includes this information. The prompt specifies that this data is for the assistant's awareness and doesn’t require a response. Data Preparation (Edit Fields Nodes) Formats customer data and the interaction details to be processed by the AI assistant. Compiles the customer data and their query into a single text block. AI Responses (OpenAI Nodes) The assistant’s prompt is carefully designed to guide the AI in providing accurate and relevant responses based on the customer’s query and data provided. Prompts describe the available functionalities, including which APIs to call and their specific purposes, helping to prevent “hallucinated” or irrelevant responses. Memory and Context (Postgres Chat Memory) Stores context and messages in continuous sessions using a database, ensuring the chatbot maintains conversation history. API Calls The workflow allows the use of APIs with any endpoints you choose, depending on your specific use case. This flexibility enables integration with various services tailored to your needs. The OpenAI assistant understands JSON structures, and you can define in the prompt how the responses should be formatted. This allows you to structure responses neatly for the client, ensuring clarity and professionalism. Make sure to describe the purpose of each endpoint in the assistant’s prompt to help guide the AI and prevent misinterpretation. Customer Response Delivery After processing and querying APIs, the generated response is sent to the backend and ultimately delivered to the customer through WhatsApp Business. Best Practices Implemented Preventing Hallucinations** Every API has a clear description in its prompt, ensuring the AI understands its intended use case. Versatile Functionality** The chatbot is modular and flexible, capable of handling both sales and general customer inquiries. Context Persistence** By utilizing persistent memory, the flow maintains continuous interaction context, which is crucial for longer conversations or follow-up queries. Additional Recommendations Include practical examples in the assistant’s prompt, such as frequently asked questions or decision-making flows based on API calls. Ensure all responses align with the customer’s objectives (e.g., making a purchase or resolving technical queries). Log interactions in detail for future analysis and workflow optimization. This workflow provides a solid foundation for a robust and multifunctional virtual assistant 🚀

This flow is supported by a Chrome plugin created with Cursor AI. The idea was to create a Chrome plugin and a backend service in N8N to do chart analytics with OpenAI. It's a good sample on how to submit a screenshot from the browser to N8N. Who is it for? N8N developers who want to learn about using a Chrome plugin, an N8N webhook and OpenAI. What opportunity does it present? This sample opens up a whole range of N8N connected Chrome extensions that can analyze screenshots by using OpenAI. What this workflow does? The workflow contains: a webhook trigger an OpenAI node with GPT-4O-MINI and Analyze Image selected a response node to send back the Text that was created after analysing the screenshot. All this is needed to talk to the Chrome extension which is created with Cursor AI. The idea is to visit the tradingview.com crypto charts, click the Chrome plugin and get back analytics about the shown chart in understandable language. This is driven by the N8N flow. With the new image analytics capabilities of OpenAI this opens up a world of opportunities. Requirements/setup OpenAI API key Cursor AI installed The Chrome extension. Download The N8N JSON code. Download How to customize it to your needs? Both the Chrome extension and N8N flow can be adapted to use on other websites. You can consider: analyzing a financial screen and ask questions about the data shown analyzing other charts extending the N8N workflow with other AI nodes With AI and image analytics the sky is the limit and in some cases it saves you from creating complex API integrations. Download Chrome extension

Video Guide I prepared a detailed guide explaining how to build an AI-powered meeting assistant that provides real-time transcription and insights during virtual meetings. Youtube Link Who is this for? This workflow is ideal for business professionals, project managers, and team leaders who require effective transcription of meetings for improved documentation and note-taking. It's particularly beneficial for those who conduct frequent virtual meetings across various platforms like Zoom and Google Meet. What problem does this workflow solve? Transcribing meetings manually can be tedious and prone to error. This workflow automates the transcription process in real-time, ensuring that key discussions and decisions are accurately captured and easily accessible for later review, thus enhancing productivity and clarity in communications. What this workflow does The workflow employs an AI-powered assistant to join virtual meetings and capture discussions through real-time transcription. Key functionalities include: Automatic joining of meetings on platforms like Zoom, Google Meet, and others with the ability to provide real-time transcription. Integration with transcription APIs (e.g., AssemblyAI) to deliver seamless and accurate capture of dialogue. Structuring and storing transcriptions efficiently in a database for easy retrieval and analysis. Real-Time Transcription: The assistant captures audio during meetings and transcribes it in real-time, allowing participants to focus on discussions. Keyword Recognition: Key phrases can trigger specific actions, such as noting important points or making prompts to the assistant. Structured Data Management: The assistant maintains a database of transcriptions linked to meeting details for organized storage and quick access later. Setup Preparation Create Recall.ai API key Setup Supabase account and table create table public.data ( id uuid not null default gen_random_uuid (), date_created timestamp with time zone not null default (now() at time zone 'utc'::text), input jsonb null, output jsonb null, constraint data_pkey primary key (id), ) tablespace pg_default; Create OpenAI API key Development Bot Creation: Use a node to create the bot that will join meetings. Provide the meeting URL and set transcription options within the API request. Authentication: Configure authentication settings via a Bearer token for interacting with your transcription service. Webhook Setup: Create a webhook to receive real-time transcription updates, ensuring timely data capture during meetings. Join Meeting: Set the bot to join the specified meeting and actively listen to capture conversations. Transcription Handling: Combine transcription fragments into cohesive sentences and manage dialog arrays for coherence. Trigger Actions on Keywords: Set up keyword recognition that can initiate requests to the OpenAI API for additional interactions based on captured dialogue. Output and Summary Generation: Produce insights and summary notes from the transcriptions that can be stored back into the database for future reference.

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

Phishing Email Detection and Reporting with n8n Who is this for? This workflow is designed for IT teams, security professionals, and managed service providers (MSPs) looking to automate the process of detecting, analyzing, and reporting phishing emails. What problem is this workflow solving? Phishing emails are a significant cybersecurity threat, and manually detecting and reporting them is time-consuming and prone to errors. This workflow streamlines the process by automating email analysis, generating detailed reports, and logging incidents in a centralized system like Jira. What this workflow does This workflow automates phishing email detection and reporting by integrating Gmail and Microsoft Outlook email triggers, analyzing the content and headers of incoming emails, and generating Jira tickets for flagged phishing emails. Here’s what happens: Email Triggers: Captures incoming emails from Gmail or Microsoft Outlook. Email Analysis: Extracts email content, headers, and metadata for analysis. HTML Screenshot: Converts the email’s HTML body into a visual screenshot. AI Phishing Detection: Leverages ChatGPT to analyze the email and detect potential phishing indicators. Jira Integration: Automatically creates a Jira ticket with detailed analysis and attaches the email screenshot for review by the security team. Customizable Reports: Includes options to customize ticket descriptions and adapt the workflow to organizational needs. Setup Authentication: Set up Gmail and Microsoft Outlook OAuth credentials in n8n to access your email accounts securely. API Keys: Add API credentials for the HTML screenshot service (hcti.io) and ChatGPT. Jira Integration: Configure your Jira project and issue types in the workflow. Workflow Configuration: Update sticky notes and nodes to include any additional setup or configuration details unique to your system. How to customize this workflow to your needs Email Filters**: Modify email triggers to filter specific subjects or sender addresses. Analysis Scope**: Adjust the ChatGPT prompt to refine phishing detection logic. Integration**: Replace Jira with your preferred ticketing system or modify the ticket fields to include additional information. This workflow provides an end-to-end automated solution for phishing email management, enhancing efficiency and reducing security risks. It’s perfect for teams looking to minimize manual effort and improve incident response times.

Analyze & Sort Suspicious Email Contents with ChatGPT and Jira Who is this for? This workflow is tailored for IT security teams, managed service providers (MSPs), and organizations aiming to streamline the detection and reporting of phishing emails. It's especially useful for teams handling high email volumes and requiring quick, automated analysis. What problem is this workflow solving? Phishing emails pose a significant cybersecurity threat, and manual review processes are time-consuming and prone to human error. This workflow automates the identification of malicious emails, provides AI-driven insights, and generates structured reports, enabling faster and more efficient responses to email-based threats. What this workflow does This workflow integrates Gmail or Microsoft Outlook to monitor and capture incoming emails. It processes the email content and headers, converts the email's body to a visual screenshot for clarity, and uses ChatGPT's advanced AI to analyze the email for phishing indicators. Based on the analysis, it categorizes emails as potentially malicious or benign, creating detailed Jira tickets for each case. Attachments, including the email body and screenshots, are automatically uploaded for comprehensive reporting. Key steps include: Email Integration: Captures emails from Gmail or Microsoft Outlook. Content Processing: Extracts and organizes email content and metadata. AI Analysis: Uses ChatGPT to evaluate email content and headers. Classification: Categorizes emails as malicious or benign. Automated Reporting: Creates Jira tickets with detailed analysis and attachments. Setup Authentication: Configure Gmail or Microsoft Outlook credentials in n8n. API Keys: Add credentials for the HTML screenshot service (hcti.io) and OpenAI. Jira Configuration: Set up project and issue types in the Jira nodes. Customization: Update sticky notes and nodes to fit your organizational requirements, such as modifying the AI prompt or Jira ticket fields. How to customize this workflow to your needs Adjust email triggers to include or exclude specific senders or subjects. Refine the AI prompt in the ChatGPT node to tailor phishing detection criteria. Modify Jira ticket content to include additional fields or match specific workflows. This workflow is ideal for automating email threat detection, reducing response times, and enhancing overall cybersecurity processes. By leveraging AI-powered insights, it helps organizations stay ahead of phishing attacks.

Who is this for? This workflow is for small business owners, personal assistants, or project managers who rely on multiple platforms for communication and scheduling. Ideal for users managing customer support, personal scheduling, or group event coordination via LINE, Google Calendar, and Gmail. What problem is this workflow solving? Reduces the manual effort needed to manage conversations, schedule events, and handle email communications. Provides an intelligent system for replying to user messages and fetching relevant calendar or email information in real time. Bridges the gap between messaging platforms and productivity tools, improving efficiency. What this workflow does LINE Chatbot Automation**: Automatically processes and responds to messages received via LINE. Google Calendar Management**: Retrieves upcoming events or schedules new events dynamically based on user queries. Email Retrieval**: Fetches recent emails using Gmail and filters them based on user instructions. AI-Powered Replies**: Uses OpenAI GPT to interpret user queries and provide tailored responses. Setup Prerequisites: LINE Developer account and API access. Google Calendar and Gmail accounts with OAuth credentials. An n8n instance with access to environment variables. Steps: Set up environment variables (LINE_API_TOKEN and DYNAMIC_EMAIL). Configure API credentials for Google Calendar and Gmail in n8n. Test the workflow by sending a sample message via LINE. Enhancements: Use sticky notes to provide inline instructions for each node. Include a video walkthrough or a step-by-step document for first-time users. How to customize this workflow to your needs Localization**: Modify responses in the AI Agent node to match the language and tone of your audience. Integration**: Add more integrations like Slack or Microsoft Teams for additional notifications. Advanced Filters**: Add specific conditions to Gmail or Google Calendar nodes to fetch only relevant data, such as events with specific keywords or emails from certain senders. Advanced Use Cases Customer Support**: Automatically schedule meetings with clients based on their messages in LINE. Event Management**: Handle RSVP confirmations, event reminders, and email follow-ups for planned events. Personalized Assistant**: Use the workflow to act as a personal virtual assistant that syncs your schedule, replies to messages, and summarizes emails. Tips for Optimization Edit Fields Node**: Add a centralized node to configure dynamic inputs (e.g., tokens, emails, or thresholds) for easy updates. Fallback Responses**: Use a switch node to handle unrecognized input gracefully and provide clear feedback to users. Logs and Monitoring**: Add nodes to log interactions and track message flows for debugging or analytics. Let me know if you'd like me to expand on any specific section or add more customization ideas!

What this workflow does This workflow retrieves Google Analytics data from the last 7 days and the same period in the previous year. The data is then prepared by AI as a table, analyzed and provided with a small summary. The summary is then sent by email to a desired address and, shortened and summarized again, sent to a Telegram account. This workflow has the following sequence: time trigger (e.g. every Monday at 7 a.m.) retrieval of Google Analytics data from the last 7 days assignment and summary of the data retrieval of Google Analytics data from the last 7 days of the previous year allocation and summary of the data preparation in tabular form and brief analysis by AI. sending the report as an email preparation in short form by AI for Telegram (optional) sending as Telegram message. Requirements The following accesses are required for the workflow: Google Analytics (via Google Analytics API): Documentation AI API access (e.g. via OpenAI, Anthropic, Google or Ollama) SMTP access data (for sending the mail) Telegram access data (optional for sending as Telegram message): Documentation Feel free to contact me via LinkedIn, if you have any questions!

> Reach out to me for any setup help/consulting. Automate the curation and sharing of trending GitHub discussions from Hacker News to Twitter and LinkedIn. This workflow leverages AI to generate engaging posts, streamlining your social media content creation and distribution. How it Works Crawl Hacker News for GitHub Posts: The workflow fetches trending GitHub-related discussions from Hacker News. Extract Key Information: Relevant data such as post titles, URLs, and metadata are extracted and filtered to focus only on unposted content. Fetch Additional Details: For each GitHub post, the workflow retrieves extra information from the GitHub repository page to enrich the post content. Generate Social Media Posts: Using AI, the workflow automatically generates tailored posts for Twitter and LinkedIn based on the collected data. Post to Twitter & LinkedIn: The generated content is posted to your Twitter and LinkedIn accounts. Track and Log Posts: Each post is logged in Airtable for tracking, and its status is updated to ensure no duplicate posts are made. Telegram Notification: After posting, a summary of the posts is sent to your Telegram chat for real-time updates. Requirements n8n Account**: Set up and configured. Sign up here. API Credentials**: Valid keys for LinkedIn, Twitter, Airtable, OpenAI, and Telegram. Airtable Base**: Configured with fields such as Title, URL, Post Content, Status, and Timestamp. Get started with Airtable. Telegram Chat ID**: For receiving real-time notifications. Set Up Steps Clone the Workflow: Import the workflow into your n8n environment using the provided JSON. Configure API Credentials: Enter your API keys for LinkedIn, Twitter, Airtable, OpenAI, and Telegram into the respective nodes. Set Up Airtable Base: Create an Airtable base with fields such as Title, URL, Post Content, Status, and Timestamp. Customize Telegram Chat ID: Modify the 'Ping me' node with your Telegram chat ID to receive notifications. Run the Workflow: Activate the workflow to start the automated content curation and posting process. Additional Resources n8n AI Agentic Workflows Guide n8n AI Workflow Tutorial n8n Community Tutorial on Building an AI-Powered Telegram Bot > Note: Chat GPT prompt should/can be tweaked in the step to give the desired behaviour. Sample Posts from my X and LinkedIn -**

Make OpenAI Citation for File Retrieval RAG Use case In this example, we will ensure that all texts from the OpenAI assistant search for citations and sources in the vector store files. We can also format the output for Markdown or HTML tags. This is necessary because the assistant sometimes generates strange characters, and we can also use dynamic references such as citations 1, 2, 3, for example. What this workflow does In this workflow, we will use an OpenAI assistant created within their interface, equipped with a vector store containing some files for file retrieval. The assistant will perform the file search within the OpenAI infrastructure and will return the content with citations. We will make an HTTP request to retrieve all the details we need to format the text output. Setup Insert an OpenAI Key How to adjust it to your needs At the end of the workflow, we have a block of code that will format the output, and there we can add Markdown tags to create links. Optionally, we can transform the Markdown formatting into HTML.

How it works: Send notes from Obsidian via Webhook to start the audio conversion OpenAI converts your text to natural-sounding audio and generates episode descriptions Audio files are stored in Cloudinary and automatically attached to your notes in Obsidian A professional podcast feed is generated, compatible with all major podcast platforms (Apple, Spotify, Google) Set up steps: Install and configure the Post Webhook Plugin in Obsidian Set up Custom Auth credentials in n8n for Cloudinary using the following JSON: { "name": "Cloudinary API", "type": "httpHeaderAuth", "authParameter": { "type": "header", "key": "Authorization", "value": "Basic {{Buffer.from('your_api_key:your_api_secret').toString('base64')}}" } } Configure podcast feed metadata (title, author, cover image, etc.) Note: The second flow is a generic Podcast Feed module that can be reused in any '[...]-to-Podcast' workflow. It generates a standard RSS feed from Google Sheets data and podcast metadata, making it compatible with all major podcast platforms.

Problem Teams often struggle with email overload, leading to missed actions and inefficient meeting preparation. Solution This workflow automates email management using n8n and AI. It fetches emails, summarizes key points and actions, and sends two concise updates—one in the morning and one at night. How It Works Triggers at 7 AM and 9 PM: Automates the process to summarize emails received during specific time blocks. Fetches Emails: Retrieves emails from the last 24 hours or after a specific time. Summarizes with AI: Uses OpenAI to process the email content into actionable summaries. Sends Team Updates: Compiles the summaries into a concise, formatted email and sends it to the team. Expected Results Significant reduction in missed actions and follow-ups. Customizations Adjust timings, filters, and recipients to suit your team’s needs.

Overview This workflow automates the end-to-end process of creating, optimizing, and publishing content on WordPress. It integrates AI-powered tools, Airtable, and WordPress plugins to generate high-quality, on-brand posts effortlessly. Perfect for content creators, marketers, and business owners looking to save time and scale their content strategy. Features Content Creation: AI-Powered Content:** Generates SEO-friendly blog posts with structured headings, relevant keywords, and meta descriptions. Custom Prompts:** Tailor the AI-generated content to match your brand’s tone and voice. SEO Optimization: RankMath Plugin Integration:** Updates RankMath SEO with focus keywords and meta descriptions, ensuring your content is search-engine optimized. Content Management: Airtable Integration:** Organizes content ideas, drafts, and publishing schedules in one place. Easily scalable for teams or solo creators. Visuals: Branded Featured Images:** Automatically generates on-brand images for every post. Publishing: Effortless Formatting:** Adapts content to fit your WordPress theme and schedules it for publication. Workflow Steps Trigger: Initiated manually or on a schedule. Content Management: Retrieves and organizes ideas from Airtable. Content Generation: Generates AI-driven blog content tailored to your audience. SEO Optimization: Automatically updates RankMath with SEO details. Featured Image Creation: Produces on-brand images for the post. Publishing: Formats and schedules the post on WordPress. Prerequisites API Keys: OpenAI Airtable WordPress REST API RankMath SEO Plugin Custom Code: Add a small update to your WordPress theme’s functions.php file to enable seamless automation. Customization Replace Airtable with another content management system if preferred. Adjust AI prompts to reflect different tones, styles, or industries. Add integrations for additional plugins, analytics, or storage services. Usage Import the workflow into your n8n instance. Configure API credentials for WordPress, Airtable, OpenAI, and RankMath. Update your functions.php file with the provided code snippet. Customize prompts and Airtable structure for your content needs. Trigger the workflow manually or set it on a schedule. Notes Experiment with Airtable views or add filters for more granular control over your content pipeline. Extend the workflow to include social media posting or analytics tracking. For questions, refer to n8n documentation or reach out to the creator. Tools Used Airtable OpenAI GPT WordPress REST API RankMath SEO Plugin Feel free to adapt and extend this workflow to meet your specific needs! 🎉

Who is this for? This workflow is designed for: Content creators**, artists, or hobbyists looking to experiment with AI-generated art. Small business owners* or *marketers** using LEGO-style designs for branding or promotions. Developers* or *AI enthusiasts** wanting to automate image transformations through messaging platforms like LINE. What problem is this workflow solving? Simplifies the process of creating custom AI-generated LEGO-style images. Automates the manual effort of transforming user-uploaded images into AI-generated artwork. Bridges the gap between messaging platforms (LINE) and advanced AI tools (DALL·E). Provides a seamless system for users to upload an image and receive an AI-transformed output without technical expertise. What this workflow does Image Upload via LINE: Users send an image to the LINE chatbot. AI-Powered Prompt Creation: GPT generates a prompt to describe the uploaded image for LEGO-style conversion. AI Image Generation: DALL·E 3 processes the prompt and creates a LEGO-style isometric image. Image Delivery: The generated image is returned to the user in LINE. Setup Prerequisites LINE Developer Account** with API credentials. Access to OpenAI API with DALL·E and GPT-4 capabilities. A configured n8n instance to run this workflow. Steps Environment Setup: Add your LINE API Token and OpenAI credentials as environment variables (LINE_API_TOKEN, OPENAI_API_KEY) in n8n. Configure LINE Webhook: Point the LINE webhook to your n8n instance. Connect OpenAI: Set up OpenAI API credentials in the workflow nodes for GPT-4 and DALL·E. Test Workflow: Upload a sample image in LINE and ensure it returns the LEGO-style AI image. How to customize this workflow to your needs Localization**: Modify response messages in LINE to fit your audience's language and tone. Integration**: Add nodes to send notifications through other platforms like Slack or email. Image Style**: Replace the LEGO-style image prompt with other artistic styles or themes. Advanced Use Cases Art Contests: Users upload images and receive AI-enhanced outputs for community voting or branding. Marketing Campaigns: Quickly generate creative visual content for ads and promotions using customer-submitted photos. Education: Use the workflow to teach students about AI-generated art and automation through a hands-on approach. Tips for Optimization Error Handling**: Add fallback nodes to handle invalid images or API errors gracefully. Logging**: Implement a logging mechanism to track requests and outputs for debugging and analytics. Scalability**: Use queue-based systems or cloud scaling to handle large volumes of image requests. Enhancements Add sticky notes in n8n to provide inline instructions for configuring each node. Create a tutorial video or documentation for first-time users to set up and customize the workflow. Include advanced filters to allow users to select from multiple styles beyond LEGO (e.g., pixel art, watercolor). This workflow enables seamless interaction between messaging platforms and advanced AI capabilities, making it highly versatile for various creative and business applications.

🤖 This n8n workflow creates an intelligent Telegram bot that processes multiple types of messages and provides automated responses using AI capabilities. The bot serves as a personal assistant that can handle text, voice messages, and images through a sophisticated processing pipeline. Core Components Message Reception and Validation 📥 🔄 Implements webhook-based message reception for real-time processing 🔐 Features a robust user validation system that verifies sender credentials 🔀 Supports both testing and production webhook endpoints for development flexibility Message Processing Pipeline ⚡ 🔄 Uses a smart router to detect and categorize incoming message types 📝 Processes three main message formats: 💬 Text messages 🎤 Voice recordings 📸 Images with captions AI Integration 🧠 🤖 Leverages OpenAI's GPT-4 for message classification and processing 🗣️ Incorporates voice transcription capabilities for audio messages 👁️ Features image analysis using GPT-4 Vision API for processing visual content Technical Architecture Webhook Management 🔌 🌐 Maintains separate endpoints for testing and production environments 📊 Implements automatic webhook status monitoring ⚡ Provides real-time webhook configuration updates Error Handling ⚠️ 🔍 Features comprehensive error detection and reporting 🔄 Implements fallback mechanisms for unprocessable messages 💬 Provides user feedback for failed operations Message Classification System 📋 🏷️ Categorizes incoming messages into tasks and general conversation 🔀 Implements separate processing paths for different message types 🧩 Maintains context awareness across message processing Security Features User Authentication 🔒 ✅ Validates user credentials against predefined parameters 👤 Implements first name, last name, and user ID verification 🚫 Restricts access to authorized users only Response System Intelligent Responses 💡 🤖 Generates contextual responses based on message classification

An intelligent chatbot that assists employees by answering common HR or IT questions, supporting both text and audio messages. This unique feature ensures employees can conveniently ask questions via voice messages, which are transcribed and processed just like text queries. How It Works Message Capture: When an employee sends a message to the chatbot in WhatsApp or Telegram (text or audio), the chatbot captures the input. Audio Transcription: For audio messages, the chatbot transcribes the content into text using an AI-powered transcription service (e.g., Whisper, Google Cloud Speech-to-Text). Query Processing: The transcribed text (or directly entered text) is sent to an AI service (e.g., OpenAI) to generate embeddings. These embeddings are used to search a vector database (e.g., Supabase or Qdrant) containing the company’s internal HR and IT documentation. The most relevant data is retrieved and sent back to the AI service to compose a concise and helpful response. Response Delivery: The chatbot sends the final response back to the employee, whether the input was text or audio. Set Up Steps Estimated Time**: 20–25 minutes Prerequisites**: Create an account with an AI provider (e.g., OpenAI). Connect WhatsApp or Telegram credentials in n8n. Set up a transcription service (e.g., Whisper or Google Cloud Speech-to-Text). Configure a vector database (e.g., Supabase or Qdrant) and add your internal HR and IT documentation. Import the workflow template into n8n and update environment variables for your credentials.

This workflow is created by AI developers at WeblineIndia. It streamlines the process of managing content by automatically identifying and fetching the most recently added Google Doc file from your Google Drive. It extracts the content of the document for processing and leverages an AI model to generate a concise and meaningful summary of the extracted text. The summarized content is then stored in a designated Google Sheet, alongside relevant details like the document name and the date it was added, providing an organized and easily accessible reference for future use. This automation simplifies document handling, enhances productivity, and ensures seamless data management. Steps : Fetch the Most Recent Document from Google Drive Action:** Use the Google Drive Node. Details:** List files, filter by date to fetch the most recently added .doc file, and retrieve its file ID and metadata. Extract Content from the Document Action:** Use the Google Docs Node. Details:** Set the operation to "Get Content," pass the file ID, and extract the document's text content. Summarize the Document Using an AI Model Action:** Use an AI Model Node (e.g., OpenAI, ChatGPT). Details:** Provide the extracted text to the AI model, use a prompt to generate a summary, and capture the result. Store the Summarized Content in Google Sheets Action:** Use the Google Sheets Node. Details:** Append a new row to the target sheet with details such as the original document name, summary, and date added. About WeblineIndia WeblineIndia specializes in delivering innovative and custom AI solutions to simplify and automate business processes. If you need any help, please reach out to us.

How the Automated Workflow Works Scheduled Fetching from Hugging Face ⏰ The workflow triggers every weekday at 8 AM, automatically fetching the latest papers from Hugging Face for easy access. Duplication Check to Avoid Redundant Entries 🔍 It ensures the paper's summary is not already stored in your Notion workspace, preventing duplicate records and keeping your database organized. Content Analysis with OpenAI 🧠 Using OpenAI's powerful capabilities, the workflow analyzes the fetched paper summary, extracts key insights, and categorizes the content for easier understanding. Data Storage and Notification Integration 📥🔔 Once the summary is processed, it's automatically stored in your Notion workspace, and a notification containing the paper details is sent to your designated Slack channel for quick reference. Set Up Your Automated Workflow Create Your n8n Account 📝 Start by registering for an n8n account and logging into the n8n cloud service. Connect OpenAI, Notion, and Slack 🔗 Link your OpenAI, Notion, and Slack accounts by entering the appropriate tokens. This step will take approximately 10–15 minutes to complete. Import the Workflow Template 📥 Import the provided workflow template into your n8n instance to streamline the setup process. Activate the Workflow for Daily Summaries 🚀 After importing, simply enable the workflow, and you’re all set to receive daily paper summaries automatically. Setup Time ⏳: Approximately 15–20 minutes. Why Use This Automated Workflow? This automated workflow not only saves you time by fetching and categorizing the latest research papers but also helps streamline your Notion workspace and Slack notifications, allowing you to stay organized and efficient without manual intervention. Results Presentation

Workflow Documentation: HR Job Posting and Evaluation with AI Detailed Description The HR Job Posting and Evaluation with AI workflow is designed to streamline and enhance recruitment for technical roles, such as Automation Specialists. By automating key stages in the hiring process, this workflow ensures a seamless experience for both candidates and HR teams. From collecting applications to evaluating candidates using AI and scheduling interviews, this workflow provides an end-to-end solution for recruitment challenges. Who is this for? This workflow is ideal for: HR Professionals**: Managing multiple job postings and candidates efficiently. Recruitment Teams**: Handling large volumes of applications for technical positions. Hiring Managers**: Ensuring structured and objective candidate evaluations. What problem does this workflow solve? Time-Consuming Processes**: Automates repetitive tasks like data entry, CV management, and scheduling. Fair Candidate Evaluation**: Leverages AI to provide objective insights based on resumes and job descriptions. Streamlined Communication**: Ensures timely and personalized candidate interactions, improving their experience. What this workflow does This workflow automates the following steps: Form Submission: Collects candidate information via a structured application form. Data Storage: Stores applicant details in Airtable for centralized tracking. CV Management: Automatically uploads resumes to Google Drive for easy access and organization. AI-Powered Candidate Evaluation: Scores candidates based on their resumes and job descriptions using OpenAI, providing actionable insights. Interview Scheduling: Automates scheduling based on candidate and interviewer availability. Communication: Sends customized emails to candidates for interview invitations and feedback. Setup Prerequisites To use this workflow, you’ll need: n8n Account**: To create and run the workflow. Airtable Account**: For managing applicant data. Google Drive Account**: For storing candidate CVs. OpenAI API Key**: For AI-powered candidate scoring. SMTP Email Account**: For sending candidate communications. Setup Process Airtable Configuration: Create a base in Airtable with tables for Applicants and Job Positions. Google Drive Setup: Create a folder for CV storage and ensure you have write permissions. Integrate Airtable in n8n: Use the Airtable API key to connect Airtable to n8n. Integrate Google Drive in n8n: Authorize Google Drive to enable CV storage automation. OpenAI Integration: Add your OpenAI API key to n8n for candidate scoring. Email Configuration: Set up your SMTP email account in n8n for sending notifications and invitations. How to customize this workflow Tailor the workflow to fit your unique recruitment needs: Edit Job Descriptions: Adjust the form parameters to match the specific role and qualifications. Refine AI Evaluation Criteria: Modify OpenAI prompts to reflect the skills and competencies for the desired position. Personalize Email Templates: Update email content to match your organization’s tone and branding. Add New Features: Incorporate additional steps like feedback collection or integration with other HR tools. Conclusion The HR Job Posting and Evaluation with AI workflow simplifies and automates the recruitment process, enabling HR teams to focus on engaging with candidates rather than handling administrative tasks. With its powerful integrations and customization options, this workflow helps organizations hire efficiently while improving the candidate experience.

What this workflow does Monitors Google Drive: The workflow triggers whenever a new CSV file is uploaded. Uses AI to Identify PII Columns: The OpenAI node analyzes the data and identifies PII-containing columns (e.g., name, email, phone). Removes PII: The workflow filters out these columns from the dataset. Uploads Cleaned File: The sanitized file is renamed and re-uploaded to Google Drive, ensuring the original data remains intact. How to customize this workflow to your needs Adjust PII Identification: Modify the prompt in the OpenAI node to align with your specific data compliance requirements. Include/Exclude File Types: Adjust the Google Drive Trigger settings to monitor specific file types (e.g., CSV only). Output Destination: Change the folder in Google Drive where the sanitized file is uploaded. Setup Prerequisites: A Google Drive account. An OpenAI API key. Workflow Configuration: Configure the Google Drive Trigger to monitor a folder for new files. Configure the OpenAI Node to connect with your API Set the Google Drive Upload folder to a different location than the Trigger folder to prevent workflow loops.

1. How it Works This n8n workflow automates fine-tuning OpenAI models through these key steps: Manual Trigger**: Starts with the "When clicking ‘Test workflow’" event to initiate the process. Downloads a .jsonl file from Google Drive Upload to OpenAI**: Uploads the .jsonl file to OpenAI via the "Upload File" node (with purpose "fine-tune"). Create Fine-tuning Job**: Sends a POST request to the endpoint https://api.openai.com/v1/fine_tuning/jobs with: { "training_file": "{{ $json.id }}", "model": "gpt-4o-mini-2024-07-18" } OpenAI automatically starts training the model based on the provided file. Interaction with the Trained Model**: An "AI Agent" uses the custom model (e.g., ft:gpt-4o-mini-2024-07-18:n3w-italia::XXXX7B) to respond to chat messages. 2. Set up Steps To configure the workflow: Prepare the Training File: Create a .jsonl file following the specified syntax (e.g., travel assistant Q/A examples). Upload it to Google Drive and update the ID in the "Google Drive" node. Configure Credentials: Google Drive: Connect an account via OAuth2 (googleDriveOAuth2Api). OpenAI: Add your API key in the "OpenAI Chat Model" and "Upload File" nodes. Customize the Model: In the "OpenAI Chat Model" node, specify the name of your fine-tuned model (e.g., ft:gpt-4o-mini-...). Update the HTTP request body (Create Fine-tuning Job) if needed (e.g., a different base model). Start the Workflow: Use the manual trigger ("Test workflow") to begin the upload and training process. Test the model via the "Chat Trigger" (chat messages). Integrated Documentation: Follow the instructions in the Sticky Notes to: Properly format the .jsonl (Step 1). Monitor progress on OpenAI (Step 2, link: https://platform.openai.com/finetune/). Note: Ensure the .jsonl file adheres to OpenAI’s required structure and that credentials are valid.

Workflow Overview This workflow automates the creation and management of a custom OpenAI Assistant for a travel agency ("Travel with us"), leveraging Google Drive for document storage. How It Works 1. Create the OpenAI Assistant Node**: OpenAI Action: Creates a custom assistant named "Travel with us" Assistant using the gpt-4o-mini model. Instructions: Respond only using the provided document (e.g., agency-specific info). Stay friendly, brief, and focused on travel-related queries. Ignore irrelevant questions politely. Credentials: Requires OpenAI API key. 2. Upload Agency Document Google Drive Node**: Action: Downloads a Google Doc as a PDF. OpenAI2 Node**: Action: Uploads the PDF to OpenAI with purpose: "assistants". Output: Generates a file_id. 3. Update the Assistant with the Document OpenAI Node**: Action: Updates the assistant to include the uploaded file. 4. Chat Interaction Chat Trigger**: Activates when a message is received ("When chat message received"). OpenAI Assistant Node**: Action: Uses the updated assistant to respond to user queries. Memory: Window Buffer Memory retains chat context for coherent conversations. Set Up Steps Prepare the Document: Store your travel agency guide in Google Drive (e.g., as a Google Doc). Update the Google Drive node with your document’s ID. Configure Credentials: Google Drive: Connect via OAuth2 (googleDriveOAuth2Api). OpenAI: Add your API key to all OpenAI nodes. Customize the Assistant: Modify the instructions in the OpenAI node to reflect your agency’s needs. Ensure the document includes FAQs, policies, and travel info. Test the Workflow: Trigger manually ("Test workflow") to create the assistant and upload the file. Send a chat message (e.g., "What are your travel packages?") to test responses. Dependencies Google Drive Account**: To store and retrieve the agency document. OpenAI API Access**: For assistant creation and file uploads.

What this workflow does This workflow retrieves Online Marketing data (Google Analytics for several domains, Google Ads, Meta Ads) from the last 7 days and the same period in the previous year. The data is then prepared by AI as a table, analyzed and provided with a small summary. The summary is then sent by email to a desired address and, shortened and summarized again, sent to a Telegram account. This workflow has the following sequence: time trigger (e.g. every Monday at 7 a.m.) retrieval of Online Marketing data from the last 7 days (via sub workflows) assignment and summary of the data retrieval of Online Marketing data from the same time period of the previous year allocation and summary of the data preparation in tabular form and brief analysis by AI. sending the report as an email preparation in short form by AI for Telegram (optional) sending as Telegram message. Requirements The following accesses are required for the workflow: Google Analytics (via Google Analytics API): Documentation Google Ads (via HTTP Request -> Google Ads API):Documentation Meta Ads (via Facebook Graph API): Documentation AI API access (e.g. via OpenAI, Anthropic, Google or Ollama) SMTP access data (for sending the mail) Telegram access data (optional for sending as Telegram message): Documentation You must set up the individual sub-workflows as separate workflows. Then set the “Execute workflow trigger” here. Then select the corresponding sub-workflow in the AI Agent Tools. You can select the number of domains yourself. If the data queries are not required, simply delete the corresponding tool (e.g. “Analytics_Domain_5). Feel free to contact me via LinkedIn, if you have any questions!

What this workflow does This workflow retrieves the Zoom meeting data from the last 24 hours. The transcript of the last meeting is then retrieved, processed, a summary is created using AI and sent to all participants by email. AI is then used to create tasks and follow-up appointments based on the content of the meeting. Important: You need a Zoom Workspace Pro account and must have activated Cloud Recording/Transcripts! This workflow has the following sequence: manual trigger (Can be replaced by a scheduled trigger or a webhook) retrieval of of Zoom meeting data filter the events of the last 24 hours retrieval of transcripts and extract of the text creating a meeting summary, format to html and send per mail create tasks and follow-up call (if discussed in the meeting) in ClickUp/Outlook (can be replaced by Gmail, Airtable, and so forth) via sub workflow Requirements: Zoom Workspace (via API and HTTP Request): Documentation Microsoft Outlook: Documentation ClickUp: Documentation AI API access (e.g. via OpenAI, Anthropic, Google or Ollama) SMTP access data (for sending the mail) You must set up the individual sub-workflows as separate workflows. Then set the “Execute workflow trigger” here. Then select the corresponding sub-workflow in the AI Agent Tools. You can select the number of domains yourself. If the data queries are not required, simply delete the corresponding tool (e.g. “Analytics_Domain_5). Feel free to contact me via LinkedIn, if you have any questions!

How it works This automated workflow discovers trending Instagram posts and creates similar AI-generated content. Here's the high-level process: 1. Content Discovery & Analysis Scrapes trending posts from specific hashtags Analyzes visual elements using AI Filters out videos and duplicates 2. AI Content Generation Creates unique images based on trending content Generates engaging captions with relevant hashtags Maintains brand consistency while being original 3. Automated Publishing Posts content directly to Instagram Monitors publication status Sends notifications via Telegram Set up steps Setting up this workflow takes approximately 15-20 minutes: 1. API Configuration (7-10 minutes) Instagram Business Account setup Telegram Bot creation API key generation (OpenAI, Replicate, Rapid Api) 2. Database Setup (3-5 minutes) Create required database table Configure PostgreSQL credentials 3. Workflow Configuration (5-7 minutes) Set scheduling preferences Configure notification settings Test connection and permissions Detailed technical specifications and configurations are available in sticky notes within the workflow.

This workflow automates the process of retrieving Hugging Face paper summaries, analyzing them with OpenAI, and storing the results in Notion. Here’s a breakdown of how it works: ⏰ Scheduled Trigger: The flow is set to run automatically at 8 AM on weekdays. 📄 Fetching Paper Data: It fetches Hugging Face paper summaries using their API. 🔍 Data Check: Before processing, the workflow checks if the paper already exists in Notion to avoid duplicates. 🤖 Content Analysis with OpenAI: If the paper is new, it extracts the summary and uses OpenAI to analyze the content. 📥 Store Results in Notion: After analysis, the summarized data is saved in Notion for easy reference. ⚙️ Set Up Steps for Automation Follow these steps to set up this automated workflow with Hugging Face, OpenAI, and Notion integration: 🔑 Obtain API Tokens: You’ll need the Notion and OpenAI API tokens to authenticate and connect these services with n8n. 🔗 Integration in n8n: Link Hugging Face, OpenAI, and Notion by configuring the appropriate nodes in n8n. 🔧 Configure Workflow Logic: Set up a cron trigger for automatic execution at 8 AM on weekdays. Use an HTTP request node to fetch Hugging Face paper data. Add logic to check if the data already exists in Notion. Set up the OpenAI integration to analyze the paper’s summary. Store the results in Notion for easy access and reference. Result:

This workflow is designed to generate SEO-friendly content with DeepSeek R1 (or V3), publish it on WordPress, and update a Google Sheets document with the details of the created post. Below is a detailed analysis of what each node in the workflow does: How It Works Triggering the Workflow: The workflow starts with a Manual Trigger node, which is activated when the user clicks "Test workflow" in the n8n interface. Fetching Data: The Get Ideas node retrieves data from a Google Sheets document. It reads a specific sheet and filters the data based on the "ID POST" column, returning the first matching row. Setting the Prompt: The Set your prompt node extracts the PROMPT field from the Google Sheets data and assigns it to a variable for use in subsequent steps. Generating Content: The Generate article node uses an AI model (DeepSeek) to create an SEO-friendly article based on the prompt. The article includes an introduction, 2-3 chapters, and a conclusion, formatted in HTML. The Generate title node uses the same AI model to generate a concise, SEO-optimized title for the article. Publishing on WordPress: The Create post on WordPress node creates a new draft post on WordPress using the generated title and article content. Generating and Uploading an Image: The Generate Image node creates a photorealistic image based on the article title using an AI model (OpenAI). The Upload image node uploads the generated image to WordPress as a media file. The Set Image node assigns the uploaded image as the featured image for the WordPress post. Updating Google Sheets: The Update Sheet node updates the original Google Sheets document with the post details, including the title, post ID, creation date, and row number. Set Up Steps Configure Google Sheets Integration: Set up the Google Sheets node to connect to your Google account and specify the document ID and sheet name to read from and update. Set Up AI Models: Configure the OpenAI nodes (for generating the article, title, and image) with the appropriate API credentials and model settings (e.g., deepseek-reasoner for text generation). Configure WordPress Integration: Set up the WordPress node with your WordPress site's API credentials to allow creating posts and uploading media. Define the Prompt and Content Structure: In the Set your prompt node, ensure the prompt variable is correctly mapped to the data from Google Sheets. In the Generate article and Generate title nodes, define the instructions for the AI model to generate the desired content. Set Up Image Generation: Configure the Generate Image node with the appropriate prompt and image settings (e.g., size, quality, style). Configure HTTP Requests for Media Upload: Set up the Upload image and Set Image nodes to use the WordPress REST API for uploading and assigning the featured image. Map Data for Google Sheets Update: In the Update Sheet node, map the relevant fields (e.g., title, post ID, date) to the appropriate columns in the Google Sheets document. Test and Activate the Workflow: Run the workflow manually to ensure all steps execute correctly. Once verified, activate the workflow for automated execution. Overall purpose of the workflow This workflow automates the creation of SEO-friendly content for a WordPress blog. Starting from a prompt extracted from a Google Sheets document, it generates an article, a title, and an image, publishes the post on WordPress, and updates the Google Sheets document with the details of the created post. This process is useful for blog managers who want to automate content creation and publishing.

Domain Outbound Machine: Automate Lead Generation, Email Extraction, and Targeted Outreach with n8n Description Domain Outbound Machine is an n8n workflow designed to fully automate the domain sales process: lead generation, email extraction, personalized outreach, and automated email sending. It also stores extracted email addresses and sent emails in an Excel file for tracking and follow-up. How It Works? 1. Domain Input You provide the domain name you want to sell. The workflow takes this domain as the starting point. 2. Google Maps Query Generation The workflow automatically generates 100 Google Maps queries based on the domain's niche or industry. This ensures you target businesses or individuals who might be interested in acquiring the domain. 3. Web Scraping for Emails Using the generated queries, the workflow scrapes relevant websites to extract email addresses. This step ensures you have a targeted list of potential buyers. 4. Email Enrichment For each extracted email, the workflow gathers publicly available information (e.g., LinkedIn, company websites) to enhance personalization. 5. Personalized Email Creation Based on the enriched data, the workflow crafts a custom email for each lead, emphasizing the domain’s value, its relevance to their business, and a compelling call-to-action. 6. Email Sending via Gmail The workflow sends the personalized emails directly through your Gmail account, ensuring timely and professional outreach. 7. Email & Lead Tracking in Excel All extracted email addresses and sent messages are automatically stored in an Excel file, allowing you to track responses and manage follow-ups efficiently. Key Features ✅ Automated Lead Generation – Saves time by automatically finding and extracting potential leads. ✅ Personalized Outreach – Boosts engagement by tailoring each email to the recipient. ✅ Seamless Integration – Uses n8n’s automation to connect Google Maps, web scraping tools, and Gmail in one workflow. ✅ Scalable & Trackable – Adjust the number of queries or emails as needed, while keeping track of everything in Excel. Domain Outbound Machine is perfect for domain investors, digital marketers, and anyone looking to sell domains efficiently. By automating the tedious tasks, you can focus on closing deals and growing your business.

What is this workflow? This n8n template automates the process of adding an AI-generated summary at the top of your WordPress posts. It retrieves, processes, and updates your posts dynamically, ensuring efficiency and flexibility without relying on a heavy WordPress plugin. Example of AI Summary Section How It Works Triggers → Runs on a scheduled interval or via a webhook when a new post is published. Retrieves posts → Fetches content from WordPress and converts HTML to Markdown for AI processing. AI Summary Generation → Uses OpenAI to create a concise summary. Post Update → Inserts the summary at the top of the post while keeping the original excerpt intact. Data Logging & Notifications → Saves processed posts to Google Sheets and notifies a Slack channel. Why use this workflow? ✅ No need for a WordPress plugin → Keeps your site lightweight. ✅ Highly flexible → Easily connect with Google Sheets, Slack, or other services. ✅ Customizable → Adapt AI prompts, formatting, and integrations to your needs. ✅ Smart filtering → Ensures posts are not reprocessed unnecessarily. 💡 Check the detailed sticky notes for setup instructions and customization options!

Automated Email Outreach Workflow This intelligent email automation workflow helps you maximize engagement through domain-based outreach. It utilizes AI-powered personalization and strategic follow-ups to increase response rates. The workflow includes a customizable three-step email sequence (initial email + two follow-ups) sent at optimized 3-day intervals. 🔥 Key Features ✅ Smart Domain Extraction – Automatically extracts domains from email addresses for precise targeting. ✅ Website Intelligence – Uses Jina.ai to analyze recipient websites and craft ultra-relevant messaging. ✅ AI-Powered Personalization – Leverages GPT-3.5 to generate compelling and highly customized email content. ✅ Adjustable AI Prompts – Easily customize AI-generated messages to align with your product, service, or campaign. ✅ Automated Follow-Up Sequence – Sends a structured series of three emails over time to increase engagement. ✅ Human-Like Sending Patterns – Randomized delays help bypass spam filters and improve deliverability. ✅ Error-Resilient Execution – Built-in error handling ensures a smooth, uninterrupted workflow. 🎯 Ideal Use Cases ✔️ Domain Sales & Lead Generation – Engage potential buyers with hyper-personalized emails. ✔️ B2B Partnerships & Outreach – Automate connections with potential business partners. ✔️ Cold Emailing at Scale – Improve engagement with structured, AI-optimized emails. ⚙️ How It Works 1️⃣ Setup & Configuration Integrate Gmail via OAuth for secure email sending. Connect your Google Sheets with leads for automated processing. Customize AI-generated messages by adjusting prompt inputs to fit your strategy. 2️⃣ Workflow Execution Domain Extraction – Automatically extracts recipient domains from email addresses. Website Analysis – Uses Jina.ai to gather insights for ultra-personalized messaging. AI-Powered Email Generation – GPT-3.5 crafts highly engaging outreach emails. Automated Email Sending – Initial email is sent, followed by two optimized follow-ups if no response is received. Engagement Tracking & Adaptation – Ensures delivery success and prevents emails from being flagged as spam. ⚡ Setup Instructions ✅ Preconditions You need a Gmail account with OAuth authentication enabled. Your Google Sheets must contain lead emails formatted correctly. Ensure your n8n instance is running and connected to your workflow. 🛠 Implementation Steps Install and open n8n. Import the workflow JSON file into your n8n instance. Configure your Gmail credentials in the workflow settings. Link your Google Sheets containing the leads' email addresses. Customize AI prompts in the GPT-3.5 node to match your campaign strategy. Test the workflow manually to ensure proper execution. Activate the workflow and let automation take over! 📈 Expected Results 🚀 Higher Response Rates – Personalization improves recipient engagement. 📊 Increased Conversions – Optimized email sequences boost lead-to-client conversions. 💡 Time-Saving Automation – Hands-free execution streamlines your outreach process. 🔧 Ready to supercharge your outreach? Set up the workflow and start automating today! 🚀🔥

Entrust customer service to AI using n8n and Kommo! Using this workflow, you can make the AI agent answer customer questions for your managers. See how it works in the video. Advantages of integration Works with any message channel that is connected to Kommo (telegram, whatsapp, facebook) Understands voice and text messages You can stop for a specific transaction or contact if you need a person's help. It is possible to supplement the AI agent with additional tools to suit your needs Where it can be useful In customer support In the qualification of clients When invoicing How it works 1) Any incoming message to the Kommo chats is sent by the webhook to n8n 2) n8n processes the webhook according to the specified logic 3) n8n sends a reply message to the Kommo chat Installation Steps 1) Install workflow 2) Follow the instructions to connect the kommo to the n8n 3) Set up Credentials for OpenAI 4) Fill in the Credentials as shown in the workflow notes 5) Activate Workflow 6) Write your first message as client

UPDATE This is an updated version of the previous Ultimate Content Generator for WordPress v2. https://n8n.io/workflows/2737-ultimate-content-generator-for-wordpress/ It includes an additional workflow to generate content using Anthropic Claude in addition to OpenAI 4o. I also mofidied it to use the AI Agent Tool node with structured output for more consistent outputs. Lastly, the workflow updates a new table in AirTable with the published blog post url and featured image url. Overview- This workflow automates the end-to-end process of creating, optimizing, and publishing content on WordPress. It integrates AI-powered tools, Airtable, and WordPress plugins to generate high-quality, on-brand posts effortlessly. Perfect for content creators, marketers, and business owners looking to save time and scale their content strategy. Features Content Creation: AI-Powered Content: Generates SEO-friendly blog posts with structured headings, relevant keywords, and meta descriptions. Custom Prompts: Tailor the AI-generated content to match your brand’s tone and voice. SEO Optimization: RankMath Plugin Integration: Updates RankMath SEO with focus keywords and meta descriptions, ensuring your content is search-engine optimized. Content Management: Airtable Integration: Organizes content ideas, drafts, and publishing schedules in one place. Easily scalable for teams or solo creators. Visuals: Branded Featured Images: Automatically generates on-brand images for every post. Publishing: Effortless Formatting: Adapts content to fit your WordPress theme and schedules it for publication. Workflow Steps Trigger: Initiated manually or on a schedule. Content Management: Retrieves and organizes ideas from Airtable. Content Generation: Generates AI-driven blog content tailored to your audience. SEO Optimization: Automatically updates RankMath with SEO details. Featured Image Creation: Produces on-brand images for the post. Publishing: Formats and schedules the post on WordPress. Prerequisites API Keys: OpenAI Claude Airtable WordPress REST API Custom Code: Add a small update to your WordPress theme’s functions.php file to enable seamless automation. Customization Replace Airtable with another content management system if preferred. Adjust AI prompts to reflect different tones, styles, or industries. Add integrations for additional plugins, analytics, or storage services. Usage Import the workflow into your n8n instance. Configure API credentials for WordPress, Airtable, OpenAI, Claude and Slack. Update your functions.php file with the provided code snippet. Customize prompts and Airtable structure for your content needs. Trigger the workflow manually or set it on a schedule. Notes Experiment with Airtable views or add filters for more granular control over your content pipeline. Extend the workflow to include social media posting or analytics tracking. Feel free to adapt and extend this workflow to meet your specific needs! 🎉

Description This automation template is designed for content creators, digital marketers, and social media managers looking to simplify their video posting workflow. It automates the process of generating engaging video descriptions and uploading content to both Instagram and TikTok, making your social media management more efficient and error-free. Who Is This For? Content Creators & Influencers:** Streamline your video uploads and focus more on creating content. Digital Marketers:** Ensure consistent posting across multiple platforms with minimal manual intervention. Social Media Managers:** Automate repetitive tasks and maintain a steady online presence. What Problem Does This Workflow Solve? Manually creating descriptions and uploading videos to different platforms can be time-consuming and error-prone. This workflow addresses these challenges by: Automating Video Uploads:** Monitors a designated Google Drive folder for new videos. Generating Descriptions:** Uses OpenAI to transcribe video audio and generate engaging, customized social media descriptions. Ensuring Multi-Platform Consistency:** Simultaneously posts your video with the generated description to Instagram and TikTok. Error Notifications:** Optional Telegram integration sends alerts in case of issues, ensuring smooth operations. How It Works Video Upload: Place your video in the designated Google Drive folder. Description Generation: The automation triggers OpenAI to transcribe your video’s audio and generate a captivating description. Content Distribution: Automatically uploads the video and description to both Instagram and TikTok. Error Handling: Sends Telegram notifications if any issues arise during the process. Setup Generate an API token at upload-post.com and configure it in both the Upload to TikTok and Upload to Instagram nodes. Google Cloud Project: Create a project in Google Cloud Platform, enable the Google Drive API, and generate the necessary OAuth credentials to connect to your Google Drive account. Set up your Google Drive folder in the Google Drive Trigger node. Customize the OpenAI prompt in the Generate Social Description node to match your brand’s tone. (Optional) Configure Telegram credentials for error notifications. Requirements Accounts:** upload-post.com, Google Drive, and (optionally) Telegram. API Keys & Credentials:** Upload-post.com API token, OpenAI API key, and (optional) Telegram bot token. Google Cloud:** A project with the Google Drive API enabled and valid OAuth credentials. Use this template to enhance your productivity, maintain consistency across your social media channels, and engage your audience with high-quality video content.

Automate LinkedIn Prospecting with AI Agent and Get Results Straight to Google Sheets! A practical AI-powered workflow that helps you find relevant LinkedIn profiles using natural language queries and saves the results automatically to Google Sheets. 🎯 What It Actually Does Accepts natural language requests (e.g., "Find marketing managers in Paris") Uses AI to extract search parameters: Job titles Industry Location Searches for matching LinkedIn profiles Saves profile URLs and titles to Google Sheets 🛠️ Technical Components AI Query Processor Converts natural language to structured search parameters Handles various input formats and languages Maintains context for accurate parameter extraction Search Engine Integration Uses Google Custom Search API Handles pagination for multiple results Filters for actual LinkedIn profile URLs Data Storage Automatically saves to Google Sheets Stores profile titles and URLs Easy to access and export 📋 Prerequisites OpenAI API key Google Custom Search API credentials Google Sheets access 💡 Adaptation Possibilities This template can be modified to scrape other websites by: Changing the search domain in the HTTP Request node Adjusting the URL filter in the Code node Modifying the column structure in Google Sheets Updating the AI prompt for different parameter extraction Example adaptations: Twitter profile finder GitHub repository search Company website finder Professional blog discovery 🔧 Setup Instructions API Setup Configure Google Custom Search API Set up OpenAI API Prepare Google Sheets Workflow Configuration Import both workflows Connect your API credentials Set up your Google Sheet Test with a sample query 📝 Usage Example Input: "Find software developers in London working in fintech" Output: A Google Sheet containing: LinkedIn profile URLs of software developers Profile titles/headlines Ready for your review and outreach #AIAgent #WebScraping #Automation #n8n #Workflow #LinkedInProspecting

Webhook | Paper Summarization Who is this for? This workflow is designed for researchers, students, and professionals who frequently read academic papers and need concise summaries. It is useful for anyone who wants to quickly extract key information from research papers hosted on arXiv. What problem is this workflow solving? Academic papers are often lengthy and complex, making it time-consuming to extract essential insights. This workflow automates the process of retrieving, processing, and summarizing research papers, allowing users to focus on key findings without manually reading the entire paper. What this workflow does This workflow extracts the content of an arXiv research paper, processes its abstract and main sections, and generates a structured summary. It provides a well-organized output containing the Abstract Overview, Introduction, Results, and Conclusion, ensuring that users receive critical information in a concise format. Setup Ensure you have n8n installed and configured. Import this workflow into your n8n instance. Configure an external trigger using the Webhook node to accept paper IDs. Test the workflow by providing an arXiv paper ID. (Optional) Modify the summarization model or output format according to your preferences. How to customize this workflow to your needs Adjust the HTTPRequest node to fetch papers from other sources beyond arXiv. Modify the Summarization Chain node to refine the summary output. Enhance the Reorganize Paper Summary step by integrating additional language models. Add an email or Slack notification step to receive summaries directly. Workflow Steps Webhook receives a request with an arXiv paper ID. Send an HTTP request using "Request to Paper Page" to fetch the HTML content of the paper. Extract the abstract and sections using "Extract Contents". Split out all sections using "Split out All Sections" to process individual paragraphs. Clean up text using "Remove useless links" to remove unnecessary elements. Summarize extracted content using "Summarization Chain". Aggregate summarized content using "Aggregate summarized content". Reorganize the paper summary into structured sections using "Reorganize Paper Summary". Extract key information using "Content Extractor" to classify data into Abstract Overview, Introduction, Results, and Conclusion. Respond to the webhook with the structured summary. Note: This workflow is designed for use with arXiv research papers but can be adapted to process papers from other sources.

The best content automation in the market! This advanced workflow not only creates and publishes SEO-optimized blog posts to your WordPress website but also backs up all content and images to a designated folder in your Google Drive. In addition, It generates a unique image for each chapter and a featured image for the overall article, and it automatically collects internal website links—seamlessly inserting them throughout each chapter and the entire article. This integrated approach enhances on-page SEO, improves navigation, and streamlines your content creation process, saving you time while ensuring your work is securely stored. How it works Triggers upon adding a new row to a Google Sheets. Generates a full blog post by writing content based on customizable parameters such as topic, target audience, length, style, and seed keyword. Generates and adds images for each chapter as well as a featured image for the article. Gathers internal website links and strategically embeds them within each chapter and throughout the article, boosting SEO and enhancing user navigation. Publishes the blog post directly to your WordPress website. Saves all content (blog post and images) to Google Drive, organizing them in a folder named after the blog post title. Unique features Full Automation: The workflow is designed to be 100% automated. Once imported and configured, it can run without manual intervention. Simple Activation: It can be easily triggered through the Google Spreadsheets interface. You simply add a new row to a Google Sheet. Customization Options: Offers a wide array of customization options, including topic, category, target audience, word count, number of chapters, length of introduction and conclusion, and writing style. It also allows for the inclusion of calls-to-action (CTAs) and company/product introductions. Automatic Content Saving: After writing a blog post, all content and images are automatically saved to Google Drive, preventing data loss. The folder is even named after the title of the blog post. SEO-Optimized Content: It's designed to create content optimized for SEO using seed keywords. AI Model Flexibility: It’s super easy to switch between different AI models through the Open Router node. Rate Limit Handling: Includes "Wait" nodes to avoid rate limits. Internal Link Limit: Limits the number of internal links to 20 by default. Set up steps Install the workflow template: Import the JSON file into your n8n instance. Connect the workflow to your accounts: This includes linking your WordPress website, Google Drive, and AI models (such as OpenAI GPT-4o). Configure the Google Sheet: Ensure your Google Sheet is set up to trigger the workflow upon adding a new row and that the input data is correctly formatted. Customize the workflow: Adjust parameters like topic, target audience, and writing style to match your specific content needs. Optimize prompts for best results. Test the workflow: Use low-cost AI models and image settings initially to ensure everything runs smoothly. Tailor Further as Needed: Modify workflow elements to align perfectly with your needs and content strategy.

Intelligent Email Support System with Vector Database Overview This n8n workflow automates email support using AI and vector database technology to provide smart, context-aware responses. It seamlessly integrates email automation and document management, ensuring efficient customer support. 📌 System Components ✉️ Email Support System Email Monitoring & Classification Gmail trigger node monitoring inbox AI-powered email classification Intelligent routing (support vs non-support inquiries) AI Response Generation LangChain agent for response automation OpenAI integration for NLP-driven replies Vector-based knowledge retrieval Automated draft creation in Gmail Vector Database System Supabase vector store for document management OpenAI embeddings for vector conversion Fast and efficient similarity search 📂 Document Management System Google Drive Integration Monitors specific folders for new/updated files Automatic document processing Supports various file formats Document Processing Pipeline Auto file download & text extraction Smart text chunking for better indexing Embedding generation via OpenAI Storage in Supabase vector database 🔄 Workflow Processes 📧 Email Support Flow Monitor Gmail inbox for new emails AI classification of incoming messages Route support emails to AI response generator Perform vector similarity search for knowledge retrieval Generate personalized AI-driven response Create email drafts in Gmail 📁 Document Management Flow Monitor Google Drive for new/updated files Auto-download and process documents Clean up outdated vector entries for updated files Extract and split document text efficiently Generate OpenAI embeddings Store processed data in Supabase vector DB ⚙️ Setup Instructions 1️⃣ Prerequisites Supabase** account & project OpenAI API key** Gmail account** with OAuth2 setup Google Drive API** access n8n installation** 2️⃣ Supabase Database Setup -- Create the vector extension create extension if not exists vector; -- Create the documents table create table documents ( id bigserial primary key, content text, metadata jsonb, embedding vector(1536) ); -- Create an index for similarity search create index on documents using ivfflat (embedding vector_cosine_ops) with (lists = 100); 3️⃣ Google Drive Setup Create & configure two monitored folders: RAG folder for new documents documents Assign correct folder permissions Add folder IDs to the workflow 4️⃣ Document Processing Configuration Set up triggers for file creation and file updates Configure text extraction: Define chunk size & overlap settings Set document metadata processing 🔍 Maintenance & Optimization 📌 Regular Tasks Monitor system performance Update the knowledge base regularly Review AI response quality Optimize vector search parameters Clean up outdated document embeddings ✅ Best Practices Document Organization Maintain structured folders & naming conventions Keep knowledge base content updated System Optimization Track AI classification accuracy Tune response times & chunk sizes Perform regular database maintenance 🛠️ Troubleshooting Email Issues Verify Gmail API credentials Check AI service uptime Monitor classification performance Document Processing Issues Ensure correct file permissions Validate extraction & embedding processes Debug vector database insertions

🎬 YouTube Shorts Automation Tool 🚀 Automate the creation of high-performing YouTube Shorts in minutes! Who is this for? 🎯 Content Creators**: Generate engaging short videos effortlessly. Marketing Agencies**: Produce client-ready content quickly. Business Owners**: Promote products/services through viral short-form content. What problem does this solve? 🛠️ Creating short-form video content is time-consuming, complex, and skill-intensive. This workflow automates video creation, eliminating the need for video editing expertise while ensuring SEO optimization, high-quality visuals, and professional voiceovers. How it works 🌟 Enter your video idea into the chat interface. AI generates a script optimized for engagement and SEO. Voiceover is created with realistic AI narration. Relevant visuals are selected to match the script. The video is assembled and delivered via a shareable link. Setup ⚙️ (5-10 min) Connect required APIs (most have free tiers). Follow the guided setup (video tutorial included). Start generating professional YouTube Shorts instantly! Required APIs 🔗 Content Generation**: OpenAI, ElevenLabs (script & voiceover) Media Processing**: Cloudinary, Replicate (images & storage) Integration Tools**: 0codekit, Creatomate (video assembly) Customization 🎨 Adjust script styles & voiceover preferences. Modify visuals to match your brand. Optimize video length and format. 🚀 Start automating your YouTube Shorts today and grow your audience effortlessly!

Automate Crypto News Posting to X & Telegram with AI Summarization This n8n template automates the process of curating and sharing the latest cryptocurrency news on X (formerly Twitter) and Telegram. By leveraging AI for content summarization, this workflow allows you to effortlessly maintain an active social media presence, keeping your audience informed about the dynamic crypto market without manual effort. Who is this for? This template is ideal for: Content Creators & Marketers:** Aiming to consistently share valuable news and engage their audience without manual content curation. Crypto Influencers & Educators:** Looking to provide timely news updates to their followers across multiple platforms. Crypto Communities & DAOs:** Seeking to automate news dissemination within their Telegram channels and wider X audience. Anyone interested in automated news monitoring and sharing.** What problem is this workflow solving? Manually tracking, summarizing, and posting crypto news across different social media platforms is time-consuming and requires constant effort. This workflow eliminates these manual tasks, allowing users to: Save Time & Effort:** Automate the entire news curation and posting process. Maintain Consistent Presence:** Ensure a regular flow of valuable crypto news updates on X and Telegram. Increase Audience Engagement:** Provide timely and summarized news to keep your audience informed and engaged. Focus on Strategy:** Free up time to focus on broader content strategy and audience growth instead of repetitive manual posting. What this workflow does: This workflow automates the following key steps: Scheduled News Retrieval: Uses a Schedule Trigger to run every 90 minutes (configurable), initiating the news gathering process. Real-time Crypto News Aggregation: Fetches the latest cryptocurrency news from the CryptoPanic API. Recent News Filtering: Filters news articles to include only those published within the last 30 minutes, ensuring timely updates. Content Extraction from News URLs: Visits individual news URLs and extracts the full article content. AI-Powered Content Summarization: Leverages GPT or other LLMs to extract the core content from news articles. Content Aggregation: Merges content from multiple news articles into a single input for summarization. AI-Driven Social Media Content Generation: Utilizes GPT or other LLMs to summarize the aggregated news and create two distinct outputs: Concise & Engaging X Post: Optimized for Twitter's character limit, designed to be attention-grabbing. Detailed Telegram Report: A more comprehensive summary suitable for a Telegram channel or group. Automated Posting to X (Twitter): Automatically posts the generated X summary to your connected Twitter account. Automated Delivery to Telegram: Automatically sends the detailed Telegram report to your specified Telegram chat ID. Setup: To get started, you will need to configure the following services and credentials: CryptoPanic API Token: Obtain a free API token from the CryptoPanic website: https://cryptopanic.com/ In n8n, navigate to the "HTTP Request" node (named "HTTP Request"). In the node parameters, locate the "URL" field and replace "YOURTOKEN" in the URL with your obtained CryptoPanic API token. OpenAI API Key: Obtain an API key from OpenAI: https://platform.openai.com/ For Content Extraction: In n8n, connect your OpenAI account to the "ContentExtraction GPT3.5" node (named "ContentExtraction GPT3.5"). Use your OpenAI API key for the credentials. For News Summarization & Social Media Content Generation: In n8n, connect your OpenAI account to the "Summary news GPT" node (named "Summary news GPT"). Use your OpenAI API key for the credentials. X (Twitter) Developer Credentials: Create a developer account and project on the X Developer Portal: https://developer.twitter.com/ Obtain the necessary API keys and tokens for your X app. In n8n, connect your X Developer account credentials to the "X" node (named "X"). Telegram Bot and Chat ID: Create a Telegram bot using BotFather on Telegram. Obtain your bot's API token. Obtain the Chat ID of the Telegram chat where you want to send news reports. In n8n, connect your Telegram Bot API token to the "Telegram" node (named "Telegram"). In the "Telegram" node parameters, replace "YOUR_TELEGRAM_CHAT_ID" with your Telegram Chat ID. How to customize this workflow: Adapt to ANY Topic:** Change the "HTTP Request" node to use a news API for your desired topic (AI, Sports, World News, etc.). Critically, adjust the prompts in the "Summary news GPT" node to be relevant to your chosen topic so the AI generates appropriate summaries and social media content. Adjust Scheduling Frequency:** Modify the "Schedule Trigger" node to change how often the workflow runs and posts news. Adjust Scheduling Frequency:** Modify the "Schedule Trigger" node to change the frequency of news updates (e.g., change the interval from 90 minutes to a different value). Modify News Filtering:** Customize the Python code in the "Extract Meta" node to adjust the news filtering criteria. You can change the time window (currently 30 minutes) or filter based on other criteria from the CryptoPanic API response. Experiment with GPT Models:** In the "Summary news GPT" node, try different OpenAI models (e.g., gpt-4, gpt-3.5-turbo-16k) to see how they affect the summarization quality and output. Note that more advanced models may incur higher API costs. Customize AI Prompts:** Fine-tune the system and user prompts in the "Summary news GPT" node to alter the tone, style, or format of the generated X and Telegram content. You can adjust the persona of the AI blogger, the desired level of detail in summaries, or specific keywords to include. Extend to Other Platforms:** Add nodes to post to other social media platforms like LinkedIn, Facebook, or Discord by adapting the "Summary news GPT" prompts and integrating relevant n8n nodes for those platforms. Category: Marketing, Social Media, AI, News Automation, Content Creation Workflow by: Tianyi (muzi) n8n Creators Profile: https://n8n.io/creators/muzi/

Use case Manually monitoring Reddit for viable business ideas is time-consuming and inconsistent. This workflow automatically analyzes trending Reddit discussions using AI to surface high-potential opportunities, filter irrelevant content, and generate actionable insights - saving entrepreneurs 10+ hours weekly in market research. What this workflow does This AI-powered workflow automatically collects trending Reddit discussions, analyzes posts for viable business opportunities using GPT-4, applies smart filters to exclude low-value content, and generates scored opportunity reports with market insights. It identifies unmet customer needs through sentiment analysis, prioritizes high-potential ideas using custom criteria, and outputs structured data to Google Sheets for actionable decision-making. Setup Add Reddit,Google and OpenAI credentials Configure target subreddits in Subreddit node Test workflow by testing workflow Review generated opportunity report in Google Sheets How to adjust this template Change data sources**: Replace Reddit trigger with Twitter/X or Hacker News API Modify criteria**: Adjust scoring thresholds in Opportunity Calculator node Add integrations**: Create automatic Slack alerts for urgent opportunities Generate draft business plans using AI Document Writer

Telegram Personal Assistant with Long-Term Memory & Note-Taking This n8n workflow transforms your Telegram bot into a powerful personal assistant that handles voice, photo, and text messages. The assistant uses AI to interpret messages, save important details as long-term memories or notes in a Baserow database, and recall information for future interactions. 🌟 How It Works Message Reception & Routing Telegram Integration: The workflow is triggered by incoming messages on your Telegram bot. Dynamic Routing: A switch node inspects the message to determine whether it's voice, text, or photo (with captions) and routes it for the appropriate processing. Content Processing Voice Messages: Audio files are retrieved and sent to an AI transcription node to convert spoken words into text. Text Messages: Text is directly captured and prepared for analysis. Photos: If an image is received, the bot fetches the file (and caption, if provided) and uses an AI-powered image analysis node to extract relevant details. AI-Powered Agent & Memory Management The core AI agent (powered by GPT-4o-mini) processes the incoming message along with any previous conversation history stored in PostgreSQL memory buffers. Long-Term Memory: When a message contains personal or noteworthy information, the assistant uses a dedicated tool to save this data as a long-term memory in Baserow. Note-Taking: For specific instructions or reminders, the assistant saves concise notes in a separate Baserow table. The AI agent follows defined rules to decide which details are saved as memories and which are saved as notes. Response Generation After processing the message and updating memory/notes as needed, the AI agent crafts a contextual and personalized response. The response is sent back to the user via Telegram, ensuring smooth and natural conversation flow. 🚀 Key Features Multimodal Input:** Seamlessly handles voice, photo (with captions), and text messages. Long-Term Memory & Note-Taking:** Uses a Baserow database to store personal details and notes, enhancing conversational context over time. AI-Driven Contextual Responses:** Leverages an AI agent to generate personalized, context-aware replies based on current input and past interactions. User Security & Validation:** Incorporates validation steps to verify the user's Telegram ID before processing, ensuring secure and personalized interactions. Easy Baserow Setup:** Comes with a clear setup guide and sample configurations to quickly integrate Baserow for managing memories and notes. 🔧 Setup Guide Telegram Bot Setup: Create your bot via BotFather and obtain the Bot Token. Configure the Telegram webhook in n8n with your bot's token and URL. Baserow Database Configuration: Memory Table: Create a workspace titled "Memories and Notes". Set up a table (e.g., "Memory Table") with at least two fields: Memory (long text) Date Added (US date format with time) Notes Table: Duplicate the Memory Table and rename it to "Notes Table". Change the first field's name from "Memory" to "Notes". n8n Workflow Import & Configuration: Import the workflow JSON into your n8n instance. Update credentials for Telegram, Baserow, OpenAI, and PostgreSQL (for memory buffering) as needed. Adjust node settings if you need to customize AI agent prompts or memory management rules. Testing & Deployment: Test your bot by sending various message types (text, voice, photo) to confirm that the workflow processes them correctly, updates Baserow, and returns the appropriate response. Monitor logs to ensure that memory and note entries are correctly stored and retrieved. ✨ Example Interactions Voice Message Processing:** User sends a voice note requesting a reminder. Bot Response: "Thanks for your message! I've noted your reminder and saved it for future reference." Photo with Caption:** User sends a photo with the caption "Save this recipe for dinner ideas." Bot Response: "Got it! I've saved this recipe along with the caption for you." Text Message for Memory Saving:** User: "I love hiking on weekends." Bot Response: "Noted! I’ll remember your interest in hiking." Retrieving Information:** User asks: "What notes do I have?" Bot Response: "Here are your latest notes: [list of saved notes]." 🛠️ Resources & Next Steps Telegram Bot Configuration:** Telegram BotFather Guide n8n Documentation:** n8n Docs Community Forums:** Join discussions and share your customizations! This workflow not only streamlines message processing but also empowers users with a personal AI assistant that remembers details over time. Customize the rules and responses further to fit your unique requirements and enjoy a more engaging, intelligent conversation experience on Telegram!

Welcome to my Automated Image Metadata Tagging Workflow! This workflow automatically analyzes the image content with the help of AI and writes it directly back into the image file as keywords. This workflow has the following sequence: Google Drive trigger (scan for new files added in a specific folder) Download the added image file Analyse the content of the image and extract the file as Base64 code Merge Metadata and Base64 Code Code Node to write the Keywords into the Metadata (dc:subject) Convert to file and update the original file in the Google Drive folder The following accesses are required for the workflow: Google Drive: Documentation AI API access (e.g. via OpenAI, Anthropic, Google or Ollama) You can contact me via LinkedIn, if you have any questions: https://www.linkedin.com/in/friedemann-schuetz

Welcome to my Automated Image Metadata Tagging Workflow! DISCLAIMER: This workflow only works with self-hosted n8n instances! You have to install the n8n-nodes-exif-data Community Node! An alternative for cloud using is this workflow This workflow automatically analyzes the image content with the help of AI and writes it directly back into the image file as keywords. (https://n8n.io/workflows/2995).** This workflow has the following steps: Google Drive trigger (scan for new files added in a specific folder) Download the added image file Analyse the content of the image Merge Metadata and image file Write the Keywords into the Metadata (dc:subject/keywords) and create new image file Update the original file in the Google Drive folder The following accesses are required for the workflow: You have to install the n8n-nodes-exif-data Community Node** Google Drive: Documentation AI API access (e.g. via OpenAI, Anthropic, Google or Ollama) You can contact me via LinkedIn, if you have any questions: https://www.linkedin.com/in/friedemann-schuetz

🐶🤖 AI Agent for Pet Shops – Automate Customer Service & Bookings! 🐾💡 Transform Your Pet Shop with AI-Powered Automation! 🚀 Enhance customer experience and optimize operations with this n8n AI Agent designed for pet shops. 📲🐾 Automate client interactions, appointment scheduling, and service recommendations—saving time and increasing revenue! 🔹 Key Features: ✅ Instant WhatsApp responses – AI-powered chatbot handles customer inquiries. 💬 ✅ Automated appointment scheduling – Clients can book services hassle-free. 📅✂️ ✅ Personalized reminders – Reduce no-shows with automated notifications. 📢🐾 ✅ Customer data & service history management – Track interactions effortlessly. 📊📁 ✅ Product & service recommendations – Improve sales with smart suggestions. 🎁🐶 📌 How It Works 1️⃣ The workflow captures customer inquiries via WhatsApp. 2️⃣ AI processes requests, provides information, and offers booking options. 3️⃣ Clients can schedule grooming, vet visits, or other services in seconds. 4️⃣ Automated reminders ensure appointments are remembered. 5️⃣ Customer data is stored for better service personalization. ⚙️ Setup & Customization 🔧 Connect your WhatsApp API (evolution) for instant messaging. 🔧 Integrate with Google Calendar for appointment booking. 🔧 Customize reminders, services, and pricing rules to fit your business. 💡 Reduce manual work, improve customer satisfaction, and scale your pet shop with AI automation! 🐶🤖 [PT-BR] Agente de IA para Pet Shops – Atendimento e Agendamentos Automatizados! 🐾💡 Transforme Seu Pet Shop com Automação Inteligente! 🚀 Otimize o atendimento ao cliente e agilize processos com este Agente de IA para n8n. 📲🐾 Automatize interações, agendamentos e recomendações de serviços—economizando tempo e aumentando as vendas! 🔹 Principais Funcionalidades: ✅ Atendimento automático no WhatsApp – IA responde clientes instantaneamente. 💬 ✅ Agendamento de serviços automatizado – Clientes marcam banho, tosa ou consultas facilmente. 📅✂️ ✅ Lembretes personalizados – Reduza faltas com notificações automáticas. 📢🐾 ✅ Gestão de clientes e histórico de serviços – Controle dados de forma eficiente. 📊📁 ✅ Sugestão de produtos e serviços – Venda mais com recomendações inteligentes. 🎁🐶 📌 Como Funciona 1️⃣ O fluxo recebe perguntas dos clientes via WhatsApp. 2️⃣ A IA processa os pedidos e fornece opções de agendamento. 3️⃣ O cliente escolhe o serviço desejado e agenda em segundos. 4️⃣ Lembretes automáticos garantem que os clientes não esqueçam os horários. 5️⃣ O histórico do cliente é salvo para oferecer um atendimento mais personalizado. ⚙️ Configuração e Personalização 🔧 Conecte sua API do WhatsApp (evolution) para interação automática. 🔧 Integre ao Google Calendar para gerenciar agendamentos. 🔧 Personalize valores, serviços e regras de envio de lembretes conforme sua necessidade. 💡 Automatize processos, melhore a experiência do cliente e escale seu pet shop com IA! 🚀

🚀 TikTok Video Automation Tool ✨ (Frequent Updates) Create viral TikTok videos effortlessly — no editing skills required! Who is this for? 🎯 ✅ Content Creators: Pump out engaging short videos in minutes. ✅ Marketing Agencies: Deliver high-quality client content — fast. ✅ Business Owners: Promote your brand with attention-grabbing TikToks. What problem does this solve? 🛠️ Short-form video content is king, but creating it takes time, skill, and effort. This tool automates the entire process, from scriptwriting to video production, ensuring SEO-optimized, high-quality content without any manual editing. How it works 🌟 1️⃣ Enter your video idea and choose where to receive the final video (TikTok upload or link via WhatsApp, Gmail, etc.). 2️⃣ AI crafts a high-engagement script with SEO optimization. 3️⃣ Voiceover is generated with ultra-realistic AI narration. 4️⃣ Relevant visuals are selected to perfectly match the script. 5️⃣ Your TikTok video is assembled and either directly uploaded to TikTok or delivered via a shareable link. Quick & Easy Setup ⚙️ (5-10 min) 🔹 Connect required APIs (most have free plans). 🔹 Follow the step-by-step setup (video tutorial included). 🔹 Start generating professional TikTok videos instantly! Required APIs 🔗 Content & Voiceover:** OpenAI (Paid), ElevenLabs (Free) Media Processing:** Cloudinary (Free), Replicate (Paid) Video Assembly:** 0codekit (Free), Creatomate (Free) Optional Integrations 🔗 Messaging & Sharing:** WhatsApp, Telegram, Gmail, Outlook Direct Upload:** TikTok Customization 🎨 Adjust script styles & voiceover preferences. Modify visuals to align with your brand. Optimize video length and format. 🚀 Start automating your TikTok content today and grow your audience on autopilot!

Workflow Description: Automated Content Publishing for WordPress This n8n workflow automates the entire process of content generation, image selection, and scheduled publishing to a self-hosted WordPress website. It is designed for bloggers, marketers, and businesses who want to streamline their content creation and posting workflow. 🌟 Features ✅ AI-Powered Content Generation Uses ChatGPT to generate engaging, market-ready blog articles Dynamically incorporates high-search volume keywords ✅ Automated Image Selection Searches for relevant stock images from Pexels Embeds images directly into posts (Optional)* Supports *Featured Image from URL (FIFU) plugin** for WordPress ✅ Scheduled & Randomized Posting Automatically schedules posts at predefined intervals Supports randomized delay (0-6 hours) for natural publishing ✅ WordPress API Integration Uses WordPress REST API to directly publish posts Configures featured images, categories, and metadata Supports SEO-friendly meta fields ✅ Flexible & Customizable Works with any WordPress website (self-hosted) Can be modified for other CMS platforms 🔧 How It Works 1️⃣ Trigger & Scheduling Automatically runs at preset times or on-demand Supports cron-like scheduling 2️⃣ AI Content Generation Uses a well-crafted prompt to generate high-quality blog posts Extracts relevant keywords for both SEO and image selection 3️⃣ Image Fetching from Pexels Searches and retrieves high-quality images Embeds image credits and ensures proper formatting 4️⃣ WordPress API Integration Sends post title, content, image, and metadata via HTTP Request Can include custom fields, categories, and tags 5️⃣ Randomized Delay Before Publishing Ensures natural posting behavior Avoids bulk publishing issues 📌 Requirements Self-hosted WordPress website* with *REST API enabled** FIFU Plugin* (optional) for *external featured images** n8n Self-Hosted or Cloud Instance** 🚀 Who Is This For? ✅ Bloggers who want to automate content publishing ✅ Marketing teams looking to scale content production ✅ Business owners who want to boost online presence ✅ SEO professionals who need consistent, optimized content 💡 Ready to Automate? 👉 Click here to get this workflow! (Replace with Purchase URL)

The best content automation template in the market is now even better—with “deep research” on time-sensitive topics\! Unlike most n8n content automation templates that are mainly for “demo purposes,” this advanced n8n workflow is for the real PROs. It conducts in-depth research on the latest information about a topic, then automatically creates and publishes SEO-optimized blog posts to your WordPress website. In addition, it generates a unique image for each chapter and a featured image for the overall article, and it collects internal website links—seamlessly inserting links throughout each chapter and the entire article. Furthermore, it backs up all content and images to a designated folder in your Google Drive. This integrated approach not only creates high-quality, comprehensive content for readers but also enhances on-page SEO, improves navigation, and streamlines your content creation process—saving you time while ensuring your work is securely stored. This is a complimentary variation of the n8n WordPress Auto-Blogging Pro for SEO topics. That one specializes in auto-blogging content about established topics that do not need up-to-date information while this one takes it further by incorporating online research into the workflow. Both make up the perfect combo to run your blog on autopilot\! How It Works Trigger: It activates upon adding a new row to a Google Sheet. Users can control many customizable parameters, such as key topic, number of subtopics, target audience, length, and style. Initial Research: The workflow initiates preliminary research on the topic to gather insights for the content planning phase. Structure Planning: Based on the initial research, it plans a detailed structure for the entire article and breaks the article into subtopics strongly tied to the main topic. In-Depth Research & Writing: For each subtopic, it conducts further research to gather the most up-to-date, relevant information, then uses that research to write each chapter in depth. Image Generation: It generates and adds images for each chapter, as well as a featured image for the article. Internal Linking: The system gathers internal website links and strategically embeds them within each chapter and throughout the article, boosting SEO and enhancing user navigation. Final Assembly & Publishing: All texts, images, and links are combined into one comprehensive article, which is then published directly to your WordPress website. You can also choose to post it as a draft for final review. Auto Backup to Drive: Get peace of mind knowing all content (blog post and images) is automatically saved to Google Drive, organized in a folder named after the blog post title. Unique Features Deep Research: The workflow leverages advanced, real-time research to gather the latest information about a topic. It breaks down the key topic into subtopics and conducts in-depth research on each one, ensuring the most comprehensive and current knowledge. Full Automation: Designed to be 100% automated, the workflow runs without manual intervention once imported and configured. Simple Activation: It is easily triggered through the Google Sheets interface—simply add a new row to a Google Sheet. Customization Options: Offers a wide array of options, including topic, category, target audience, word count, number of chapters, length of introduction and conclusion, and writing style. It also allows for the inclusion of calls-to-action (CTAs) and company/product introductions. Advanced Loop in Loop: Clever looping is used to write each chapter and generate images, ensuring optimal results. “Wait” nodes are added where appropriate to avoid API call rate limits. Automatic Content Saving: After the blog post is created, all content and images are automatically saved to Google Drive, preventing data loss. The folder is named after the blog post title. SEO-Optimized Content: It is designed to create SEO-optimized content using seed keywords. Internal Link Limit: The workflow limits the number of internal links to 20 by default. Error Catch: “If” nodes are strategically used to ensure that the output from AI nodes strictly meets the JSON schema, ensuring a smooth flow of data without interruption. And many more big and small improvements. Requirements Please make sure you have these requirements ready to ensure smooth deployment of this n8n workflow template: OpenAI API or equivalent for text and image generation PerplexityAI API or equivalent for online research A WordPress website (other website platforms will not work\!) Google Sheets for triggering the workflow, or a trigger of your choice Google Drive and Google Docs for auto backup Set Up Steps Install the Workflow Template: Import the JSON files into your n8n instance. There are 2 files: one for the main workflow and one for the research tool (PerplexityAI). Connect the Workflow with Your Accounts: Link your accounts for OpenAI API, PerplexityAI API, Google Drive, Google Sheets, Google Docs, and WordPress website. Configure the Google Sheet: Ensure your Google Sheet is set up to trigger the workflow upon adding a new row and that the input data is correctly formatted. Customize the Inputs: Adjust parameters like topic, target audience, and writing style to match your specific content needs. Optimize prompts for the best results. Test the Workflow: Use low-cost AI models and image settings initially to ensure everything runs smoothly. Tailor Further as Needed: Modify workflow elements to perfectly align with your needs and content strategy. Tips for PROs Image Generation: The default AI model for image generation is OpenAI’s Dall-E. However, the outputs of this model are not impressive. Consider using FLUX.1 for better image quality. Research: PerplexityAI is the tool of choice for research. The default model used in this workflow is “sonar” due to its fast speed and low cost. Feel free to experiment with its other models, including the “sonar-deep-research” model, which is dedicated to deep research. Triggering: Triggering with a new row on Google Sheets is limited and unreliable. Consider setting an auto trigger with a daily schedule at a specific time. You can even put the whole workflow in a loop to process multiple rows one-by-one from Google Sheets. Human in the Loop: It is possible to incorporate a human review process. For example, after the article is posted to WordPress as a draft, a human can review the draft. Only after approval will the post be published, and a final copy of the post will be saved to the shared Drive folder.

Water Reminder Workflow This workflow demonstrates how to use n8n and Slack to build an intelligent water drinking reminder system, combined with Google Sheets for data recording and OpenAI for generating personalized reminder messages. Google Sheet Template The iOS shortcut template: The result in iOS health: The template demo in Youtube Key Features Scheduled Reminders: Automatically sends water reminders at random times every hour. Intelligent Scheduling: Delays the next reminder if you've recently had water. AI-Generated Messages: Uses OpenAI to generate friendly and non-repetitive reminder messages. Data Tracking: Records daily water intake and calculates percentage of goal achievement. Quick Response: Easily record water intake through Slack buttons. iOS Integration: Provides iOS shortcut links to sync data with the Health app. Pre-Configuration Requirements To use this workflow, you need to set up the following: Google Sheets: Create a Google spreadsheet with log and setting sheets The log sheet should include date, time, and value columns The setting sheet is used to store daily water intake goals Slack: Create a Slack app and obtain an API token Configure permissions for interactive buttons OpenAI: Obtain an OpenAI API key iOS Shortcut (optional): Create an iOS shortcut named darrell_water for recording health data Node Configurations 1. Scheduled Triggers and Data Collection 1.1. Schedule Trigger Purpose**: Triggers water reminders on schedule Configuration**: Cron Expression: 0 {{ Math.floor(Math.random() * 11) }} 8-23 * * * Triggers at a random minute every hour, only between 8 AM and 11 PM 1.2. Google Sheets - Get Target Purpose**: Retrieves daily water intake goal Configuration**: Document ID: Your Google spreadsheet ID Sheet Name: setting 1.3. Google Sheets - Get Log Purpose**: Retrieves today's water intake records Configuration**: Document ID: Your Google spreadsheet ID Sheet Name: log Filter Condition: date equals today's date {{ $now.format('yyyy-MM-dd') }} 1.4. Summarize Purpose**: Calculates total water intake for today Configuration**: Fields to Summarize: value (sum) 1.5. Limit Purpose**: Gets the most recent water intake record Configuration**: Keep: Last items 2. Intelligent Reminder Logic 2.1. Combine Data Purpose**: Merges target and actual water intake data Configuration**: Combine By: Combine by position Number of Inputs: 3 2.2. If Purpose**: Checks if water was consumed recently Configuration**: Condition: {{ DateTime.fromISO($json.date+"T"+$json.time).format('yyyy-MM-dd HH:mm:ss') }} is after {{ $now.minus(30, "minutes") }} 2.3. Wait Purpose**: Randomly delays the reminder if water was consumed recently Configuration**: Wait Time: {{ Math.floor(Math.random() * 1) + 1 }} minutes 3. AI Message Generation and Sending 3.1. OpenAI Purpose**: Generates personalized water reminder messages Configuration**: Model: gpt-4o-mini Messages: System prompt: Requests responses in Traditional Chinese and in JSON format User prompt: Includes information about last water time, current time, goal, and progress Temperature: 1 3.2. Slack Send Drink Notification Purpose**: Sends water reminders to Slack channel Configuration**: Channel: Your Slack channel ID Message Type: Block Block UI: Contains AI-generated reminder message and water amount buttons (100ml, 150ml, 200ml, 250ml, 300ml) 4. User Interaction and Data Recording 4.1. Slack Drink Webhook Purpose**: Receives user interactions when water buttons are clicked Configuration**: HTTP Method: POST Path: slack-water-webhook 4.2. Slack Action Payload Purpose**: Parses Slack interaction data Configuration**: Mode: Raw JSON Output: {{ $json.body.payload }} 4.3. Slack Action Drink Data Purpose**: Extracts water amount and message information Configuration**: Assignments: value: {{ $json.actions[0].value }} message_text: {{ $json.message.text }} shortcut_url: shortcuts://run-shortcut?name=darrell_water&input= shortcut_url_data: JSON containing water amount and time message_ts: {{ $json.container.message_ts }} 4.4. Google Sheets Purpose**: Records water intake data to spreadsheet Configuration**: Operation: Append Document ID: Your Google spreadsheet ID Sheet Name: log Column Mapping: date: {{ $now.format('yyyy-MM-dd') }} time: {{ $now.format('HH:mm:ss') }} value: {{ $json.value }} 4.5. Send to Slack with Confirm Purpose**: Sends confirmation message and provides iOS shortcut link Configuration**: Channel: Your Slack channel ID Message Type: Block Block UI: Contains confirmation message and iOS Health app button Reply Settings: Reply to the thread of the original message Author Information This workflow was created by darrell_tw_, an engineer focused on AI and Automation. Contact: X Threads Instagram Website

AI-Powered WhatsApp Assistant for Restaurant & Delivery – Automate Orders, Calculate Delivery Fees & Enhance Customer Service with n8n 📌 Optimize your restaurant's delivery process with AI-powered automation! This n8n workflow enables an intelligent WhatsApp assistant for restaurants, burger joints, and delivery businesses. The AI chatbot efficiently handles orders, calculates delivery fees based on distance, manages customer interactions, and seamlessly integrates with your CRM and database for streamlined operations. ⚠️ Important Notice: This template is only compatible with self-hosted n8n instances as it uses community nodes. Ensure secure credential management when configuring APIs. 🔹 Key Features ✅ AI-Powered Order Processing – Automatically receive and confirm orders via WhatsApp. ✅ Real-Time Distance Calculation – Determines the delivery distance and calculates the fee dynamically. ✅ Automated Customer Interaction – Engages customers with intelligent conversation and order updates. ✅ WhatsApp Integration – Processes messages, saves customer details, and retrieves past interactions. ✅ Secure Customer Data Storage – Saves order history, customer preferences, and location details in a database. ✅ Seamless CRM & POS System Integration – Sync orders and customer data with your existing platforms. 📌 How It Works 1️⃣ A customer sends a message via WhatsApp to start an order. 2️⃣ The AI assistant guides them through the menu, recommends items, and confirms their choices. 3️⃣ The system retrieves and saves customer details (name, phone number, and address). 4️⃣ The AI calculates the delivery distance and applies the appropriate delivery fee. 5️⃣ The order details are saved and forwarded to the restaurant’s system for preparation. 6️⃣ The assistant keeps the customer updated about the order status. ⚙️ Setup & Customization 🔧 Webhook for WhatsApp – Capture and process customer messages automatically. 🔧 OpenAI-Powered AI Assistant – Configure conversation flows for natural and engaging interactions. 🔧 Delivery Fee Calculation – Set your delivery price per kilometer and adjust base rates. 🔧 Database & CRM Integration – Store customer details, order history, and location data. 🔧 Customizable Order Flow – Adapt the workflow for different restaurant models. 🔧 Secure Credential Management – Store API keys safely to prevent unauthorized access. 💡 Requirements: This template is recommended for users with basic knowledge of n8n. If you need custom development or setup assistance, contact us via WhatsApp: +55 17 99155-7874. 🚀 Automate order processing, reduce manual tasks, and improve customer satisfaction with AI-powered WhatsApp automation! Assistente de WhatsApp com IA para Restaurantes & Delivery – Automatize Pedidos, Calcule Taxas de Entrega e Melhore o Atendimento ao Cliente com n8n 📌 Otimize o processo de entrega do seu restaurante com automação baseada em IA! Este fluxo para n8n permite criar um atendente virtual inteligente no WhatsApp, ideal para hamburguerias, restaurantes e serviços de delivery. O chatbot baseado em IA recebe pedidos, calcula a taxa de entrega com base na distância, interage com os clientes e integra-se ao seu CRM para operações mais eficientes. ⚠️ Aviso Importante: Este template é compatível apenas com instâncias auto-hospedadas do n8n, pois utiliza nós da comunidade. Certifique-se de gerenciar credenciais de forma segura ao configurar APIs. 🔹 Principais Funcionalidades ✅ Processamento Inteligente de Pedidos – Recebe e confirma pedidos automaticamente via WhatsApp. ✅ Cálculo Dinâmico da Taxa de Entrega – Mede a distância e aplica a taxa correta automaticamente. ✅ Atendimento Automatizado ao Cliente – Interage com clientes de forma natural e profissional. ✅ Integração com WhatsApp – Captura mensagens, armazena dados e recupera histórico de pedidos. ✅ Armazenamento Seguro de Dados do Cliente – Salva pedidos, preferências e endereços de entrega. ✅ Sincronização com CRM e Sistema de PDV – Conecta-se ao seu sistema de gestão para um fluxo contínuo. 📌 Como Funciona 1️⃣ O cliente envia uma mensagem via WhatsApp para iniciar um pedido. 2️⃣ O assistente de IA apresenta o menu, sugere itens e confirma a escolha do cliente. 3️⃣ O sistema captura e salva os dados do cliente (nome, telefone e endereço). 4️⃣ A IA calcula a distância de entrega e aplica a taxa de acordo com a localização. 5️⃣ Os detalhes do pedido são registrados e enviados para a cozinha. 6️⃣ O assistente atualiza o cliente sobre o status do pedido. ⚙️ Configuração e Personalização 🔧 Webhook para WhatsApp – Configuração para capturar e processar pedidos automaticamente. 🔧 Assistente de IA com OpenAI – Configuração de fluxos conversacionais naturais e envolventes. 🔧 Cálculo de Taxa de Entrega – Definição de valores por quilômetro e ajustes de tarifas base. 🔧 Banco de Dados & CRM – Armazena dados de clientes, histórico de pedidos e localização. 🔧 Fluxo de Pedidos Personalizável – Adapte para diferentes tipos de restaurantes e serviços de delivery. 🔧 Gerenciamento Seguro de Credenciais – Proteja suas chaves de API contra acessos não autorizados. 💡 Requisitos: Este template é recomendado para usuários que já possuem conhecimentos básicos em n8n. Se precisar de personalização ou suporte para instalação, entre em contato pelo WhatsApp: +55 17 99155-7874. 🚀 Automatize o processamento de pedidos, reduza tarefas manuais e melhore a satisfação dos clientes com um WhatsApp automatizado e inteligente!

Find Job Postings from LinkedIn, Indeed, and Glassdoor and Save Them to Google Sheets Using AI Overview Effortlessly discover and apply to jobs tailored to your profile—AI handles the search, you handle the interviews. Say goodbye to endless job board scrolling. This automation leverages AI to analyze your resume, identify your skills, experience, and more, to match you with the most relevant job opportunities. It sources job postings from LinkedIn, Indeed, Glassdoor, ZipRecruiter, Monster, and other public job sites on the web. With seamless integration and automatic organization of results, you can focus on applying rather than searching. Key Features Intelligent Resume Parsing Extracts key information from your PDF resume using AI. Identifies skills, experience, education, and job preferences. Targeted Job Matching Uses the parsed resume data to search for jobs that align with your profile. Ensures relevance by analyzing job descriptions for matching criteria. Automated Data Organization Compiles job listings into a structured Google Spreadsheet. Eliminates the need for manual data entry, saving valuable time. Easy Access and Review Stores results in a familiar Google Sheets format for easy tracking. Allows for filtering and sorting to prioritize applications. Setup Instructions Prerequisites A free API key for the job search service. Google Drive and Google Sheets accounts. An updated resume in PDF format. Step 1: Connect Your Resume Parsing AI Upload your PDF resume to Google Drive. Configure the AI parser node in n8n to extract relevant information. Map the extracted fields (e.g., skills, job title, experience) for job searching. Step 2: Automate the Job Search Use the extracted data to perform a job search on LinkedIn, Indeed, Glassdoor, and other supported job sites. Retrieve job postings based on relevant keywords and location preferences. Step 3: Save Job Listings to Google Sheets Create a new Google Sheet to store job listings. Set up the automation to write job details (e.g., title, company, location, link) into the sheet. Format the sheet for better readability and tracking. Step 4: Review and Apply to Jobs Open your Google Sheet to view job matches. Click on the links to apply directly on the respective job sites. Update the status of each job application as you progress. Why Use This Automation? Saves Time**: Automates job searching and listing compilation. Enhances Efficiency**: Eliminates manual scrolling and data entry. Improves Organization**: Keeps all job opportunities in a structured format. Optimizes Your Job Hunt**: Increases chances of landing the perfect role. Designed specifically for job seekers aiming to optimize their search process, this automation integrates with Google Drive and Sheets, streamlining your job hunt and enhancing your chances of finding the right opportunity. Get started today and accelerate your career growth!

Effortless Task Management: Create Todoist Tasks Directly from Telegram with AI This n8n workflow empowers you to seamlessly manage your tasks by creating Todoist entries directly from Telegram, using the power of AI. Simply send a voice or text message to your Telegram bot, and this workflow will transform it into actionable tasks in your Todoist account. Who is this for? Busy professionals** who need a quick and easy way to capture tasks on the go. Students** looking to streamline their assignments and project management. Anyone** who wants to leverage AI for effortless task management. What Problem Does it Solve? This workflow eliminates the need to manually enter tasks into Todoist. It automates the process of capturing, organizing, and prioritizing tasks, saving you time and effort. What are the Benefits? Seamless Integration:** Connect your Telegram and Todoist accounts for a frictionless workflow. AI-Powered Task Breakdown:** LLM AI intelligently analyzes your messages and breaks them down into manageable sub-tasks. Voice-to-Task:** Create tasks with voice messages for hands-free convenience. Increased Productivity:** Capture and organize tasks quickly, keeping you focused and productive. Accessibility:** Access your tasks from anywhere with Todoist's mobile app and Google extension. How it Works Send a message: Send a voice or text message describing your task to your Telegram bot. AI analysis: The workflow uses an LLM (OpenAI Chat Model) to analyze your message and break it down into sub-tasks. Task creation: The workflow creates tasks in your Todoist account based on the AI's analysis. Notification: You receive a Telegram notification with a link to your newly created tasks in Todoist. Nodes in the Workflow Telegram Trigger:** Listens for incoming messages on Telegram. Switch:** Routes messages based on their type (voice or text). Telegram:** Fetches voice messages from Telegram. OpenAI:** Transcribes voice messages to text using OpenAI's Whisper API. Edit Fields:** Prepares the text for the LLM. Basic LLM Chain:** Analyzes messages and generates sub-tasks using OpenAI's GPT model. Structured Output Parser:** Extracts sub-tasks from the LLM's response. Todoist:** Creates tasks in your Todoist account. Telegram:** Sends a notification with a link to your Todoist tasks. Requirements Active n8n instance. Telegram account with a bot. Todoist account. OpenAI API key. Setup Information Import the workflow JSON into your n8n instance. Configure the Telegram Trigger node with your bot token. Set up the OpenAI credentials with your API key. Connect your Todoist account in the Todoist node. Customize the LLM prompt (optional) to fine-tune task creation. Additional Tips Explore Todoist's features to further organize and manage your tasks. Experiment with different LLM prompts to optimize task breakdown. Use n8n's features to automate other aspects of your workflow. This workflow combines the convenience of Telegram with the power of AI and Todoist to provide a seamless task management experience. Start managing your tasks effortlessly today!

Video Guide I prepared a detailed guide that demonstrates the complete process of building a trading agent automation using n8n and Telegram, seamlessly integrating various functions for stock analysis. Youtube Link Who is this for? This workflow is perfect for traders, financial analysts, and developers looking to automate stock analysis interactions via Telegram. It’s especially valuable for those who want to leverage AI tools for technical analysis without needing to write complex code. What problem does this workflow solve? Many traders desire real-time analysis of stock data but lack the technical expertise or tools to perform in-depth analysis. This workflow allows users to easily interact with an AI trading agent through Telegram for seamless stock analysis, chart generation, and technical evaluation, all while eliminating the need for manual interventions. What this workflow does This workflow utilizes n8n to construct an end-to-end automation process for stock analysis through Telegram communication. The setup involves: Receiving messages via a Telegram bot. Processing audio or text messages for trading queries. Transcribing audio using OpenAI API for interpretation. Gathering and displaying charts based on user-specified parameters. Performing technical analysis on generated charts. Sending back the analyzed results through Telegram. Setup Prepare Airtable: Create simple table to store tickers. Prepare Telegram Bot: Ensure your Telegram bot is set up correctly and listening for new messages. Replace Credentials: Update all nodes with the correct credentials and API keys for services involved. Configure API Endpoints: Ensure chart service URLs are correctly set to interact with the corresponding APIs properly. Start Interaction: Message your bot to initiate analysis; specify ticker symbols and desired chart styles as required.

Description: Create Social Media Content from Telegram with AI This n8n workflow empowers you to effortlessly generate social media content and captivating image prompts, all powered by AI. Simply send a topic request through Telegram (as a voice or text message), and watch as the workflow conducts research, crafts engaging social media posts, and creates detailed image prompts ready for use with your preferred AI art generation tool. What does this workflow do? This workflow streamlines the content creation process by automating research, social media content generation, and image prompt creation, triggered by a simple Telegram message. Who is this for? Social Media Managers:** Quickly generate engaging content and image ideas for various platforms. Content Creators:** Overcome writer's block and discover fresh content ideas with AI assistance. Marketing Teams:** Boost productivity by automating social media content research and drafting. Anyone** looking to leverage AI for efficient and creative social media content creation. Benefits Effortless Content and Image Prompt Generation:** Automate the creation of social media posts and detailed image prompts. AI-Powered Creativity:** Leverage the power of LLMs to generate original content ideas and captivating image prompts. Increased Efficiency:** Save time and resources by automating the research and content creation process. Voice-to-Content:** Use voice messages to request content, making content creation even more accessible. Enhanced Engagement:** Create high-quality, attention-grabbing content that resonates with your audience. How it Works Receive Request: The workflow listens for incoming voice or text messages on Telegram containing your content request. Process Voice (if necessary): If the message is a voice message, it's transcribed into text using OpenAI's Whisper API. AI Takes Over: The AI agent, powered by an OpenAI Chat Model and SerpAPI, conducts online research based on your request. Content and Image Prompt Generation: The AI agent generates engaging social media content and a detailed image prompt based on the research. Image Generation (Optional): You can use the generated image prompt with your preferred AI art generation tool (e.g., DALL-E, Stable Diffusion) to create a visual. Output: The workflow provides you with the social media content and the detailed image prompt, ready for you to use or refine. n8n Nodes Used Telegram Trigger Switch Telegram (for fetching voice messages) OpenAI (Whisper API for voice-to-text) Set (for preparing variables) AI Agent (with OpenAI Chat Model and SerpAPI tool) HTTP Request (for optional image generation) Extract from File (for optional image processing) Set (for final output) Prerequisites Active n8n instance Telegram account with a bot OpenAI API key SerpAPI account Hugging Face API key (if you want to generate images within the workflow) Setup Import the workflow JSON into your n8n instance. Configure the Telegram Trigger node with your Telegram bot token. Set up the OpenAI and SerpAPI credentials in the respective nodes. If you want to generate images directly within the workflow, configure the HTTP Request node with your Hugging Face API key. Test the workflow by sending a voice or text message to your Telegram bot with a topic request. This workflow combines the convenience of Telegram with the power of AI to provide a seamless content creation experience. Start generating engaging social media content today!

Automate Multi-Platform Social Media Content Creation with AI Who is this for? Social Media Managers and Digital Marketers seeking to streamline content production across 7+ platforms (X/Twitter, Instagram, LinkedIn, Facebook, TikTok, Threads, YouTube Shorts) using AI-powered automation. What problem does this solve? Creating platform-optimized content at scale while maintaining brand consistency across multiple channels, reducing manual work by 80% through AI generation and automated publishing. What this workflow does AI Content Generation: Uses GPT-4/Gemini to create platform-specific posts Automatically generates hashtags, CTAs, and emoji placement Supports image/video suggestions and image creation using OpenAI or Pollinations.ai Uses SERP api to search for relavent content Approval Workflow: Sends formatted HTML emails for human review Implements double-approval system with Gmail integration Cross-Platform Publishing: One-click deployment to: Instagram/Facebook (via Graph API) X/Twitter (Official API) LinkedIn (Sales Navigator integration) Setup Credentials: OpenAI API key Google Gemini API Social media platform tokens (X, LinkedIn, Facebook) ImgBB for image hosting Gmail SERP API Telegram Configuration: Update all "your-unique-id" placeholders in API nodes Set email recipients in Gmail nodes Customize AI prompts Customization: Adjust character limits per platform Modify approval thresholds Add/remove social platforms as needed How to customize Content Style**: Edit prompt templates in the "Social Media Content Factory" agent node Approval Process**: Modify email templates Analytics**: Connect to Google Sheets for performance tracking Image Generation**: Switch between Pollinations.ai/DALL-E/Midjourney

Detailed Technical Description This n8n workflow automates Yape payment receipt processing, integrating Telegram bot, AI-powered OCR, and Google Sheets automation. By leveraging ChatGPT Vision Computing, it extracts and structures transaction details, eliminating the need for manual entry. Ideal for freelancers, businesses, and finance teams, this workflow ensures error-free, real-time financial tracking. The AI agent powered by DeepSeek refines and formats the extracted text, storing it in Google Sheets for easy accessibility and reporting. Users can track payments, monitor cash flow, and generate financial reports without any manual work. This seamless integration boosts efficiency, reduces errors, and automates financial record-keeping with 100% accuracy. 🛠️ Technologies Used: ✅n8n – Workflow orchestrator. ✅Telegram – Handles image reception and notifications. ✅Google Drive – Manages file creation and storage. ✅Google Sheets – Automatically logs extracted data into spreadsheets. 🤖Artificial Intelligence: ✅ChatGPT Vision Computing – Performs OCR on payment receipts. ✅DeepSeek AI – Organizes and converts extracted data into a structured format. 📌 pre-conditions: 📩 A Telegram Bot – Must be created to receive images. Setup Guide 🔑 Google Sheets API Key – Required to store extracted data. Setup Guide ⚛️ ChatGPT API Key – Used for OCR and AI text extraction. Get it here 🐋 DeepSeek API Key – Processes extracted text into structured data. Get it here 1️⃣ Image Reception & OCR Processing 📩 The user attaches a Yape payment receipt image to the Telegram bot conversation. 🤳🏻 2️⃣ Analyze Image (OCR) 👁️‍🗨️ A ⚛️ChatGPT Vision Computing model processes the image and extracts all visible text, ensuring high-accuracy OCR for structured data extraction. 3️⃣ Analyze and format text Intelligent Data Processing with AI 🤖 The extracted text is sent to a 🐋DeepSeek-based AI agent that: Identifies and structures key transaction details (amount, date, sender, transaction ID, etc.). Converts the data into a structured JSON format. 4️⃣ Data Storage in Google Sheets 📊 Google Drive integration is established. If the Google Sheets file does not exist, it is automatically created. Extracted data is automatically recorded in the corresponding spreadsheet, enabling effortless tracking and streamlined financial organization. 🚀 Benefits: ✅ Time-saving – Eliminates manual payment processing. ✅ Error-free data entry – Reduces human mistakes in record-keeping. ✅ 100% automation – No manual intervention required. ✅ Seamless integration – Easily connects with other workflows. 💡NOTE: The extracted transaction data will be stored in a Google Sheets file with the following columns: | Column Name | Description | |:---------------------:|-----------------------------------------------------------| | id | Unique identifier for each transaction. | | beneficiaryName | Name of the recipient of the payment. | | amount | Payment amount in the specified currency. | | currency | Currency used for the transaction (e.g., PEN, USD). | | company | The entity or service handling the transaction. | | date | Date of the transaction in a human-readable format. | | hour | Time of the transaction. | | originalDate | The exact date extracted from the receipt. | | dateToISO | Standardized ISO 8601 date format. | | operation | Type of financial operation (e.g., deposit, transfer). | | operationNumber | Unique operation number provided by the payment system. | | beneficiaryNumber | Account or phone number of the recipient. | | commission | Any commission or fee charged for the transaction. | | account | Account number or reference used for the payment. | | channel | Payment method used (e.g., app, POS, bank transfer). | | agentCode | Identifier of the agent or entity processing the payment. | This workflow is perfect for businesses, freelancers, and individuals who need a fully automated solution to process Yape payment receipts efficiently. By leveraging AI-powered OCR and structured data extraction, it eliminates manual effort, reduces errors, and ensures that all transactions are accurately logged in Google Sheets. Whether you're managing personal finances, freelance payments, or business transactions, this system provides a seamless, hands-free approach to financial tracking, allowing you to focus on what truly matters.

Automate Audio Transcription, AI Summarization, and Google Drive Storage Who is this for? Content Teams, Researchers, and Administrators who need to automatically process voice memos, meeting recordings, or interview audio into structured, searchable documents. What problem does this solve? Eliminates manual transcription work by automatically converting audio files into organized text documents with AI analysis, while maintaining human oversight through approval workflows. What this workflow does Smart Audio Processing: Triggers when new .m4a files appear in Google Drive Uses OpenAI's Whisper for accurate transcription Implements dual-format reporting (JSON + Markdown) Human Oversight (optional): Requires email approval before processing 45-minute response window with escalation options AI-Powered Analysis: Generates structured JSON reports with: Key points & action items Sentiment analysis Technical terminology glossary Creates Markdown versions for easy reading Document Management: Stores raw transcripts + reports in Google Drive Automatic file naming with timestamps Sends completion alerts via Email/Telegram Workflow visualization showing audio file processing path Setup Credentials Needed: Google Drive API access OpenAI API key (GPT-4o-mini) Gmail & Telegram integrations Configuration: Set your Google Drive folder ID in 3 nodes Update email addresses in Gmail nodes Customize approval timeout in "Gmail User for Approval" Customization Points: File extension filters (.m4a) AI report templates and prompts Notification channels (Email/Telegram) How to customize Approval Process**: Add SMS/Teams notifications via additional nodes File Types**: Modify filter node for .mp3/.wav support Analysis Depth**: Adjust GPT-4 prompts in "Summarize to JSON" nodes Storage**: Connect to Notion/Airtable instead of Google Drive

This workflow automates the process of creating a complete SEO-optimized blog post, including generating content, titles, images, and meta tags, and publishing it on WordPress. It leverages AI models (like DeepSeek and OpenRouter) for content generation and SEO optimization, and integrates with Google Sheets, WordPress, and OpenAI for image generation. This is a powerful tool for automating the creation and optimization of blog posts, saving time and ensuring high-quality, SEO-friendly content. It integrates multiple tools and AI models to deliver a seamless content creation experience. Below is a breakdown of the workflow: 1. How It Works The workflow is designed to streamline the creation of SEO-friendly blog posts. Here's how it works: Trigger: The workflow starts with a Manual Trigger node, which initiates the process when the user clicks "Test workflow." Fetch Context: The Google Sheets node retrieves the blog post context (e.g., topic, keywords) from a predefined Google Sheet. Generate Content: The Generate Article node uses an AI model (DeepSeek) to create an SEO-friendly blog post based on the fetched context. The Generate Title node creates a compelling, keyword-rich title for the blog post. Publish to WordPress: The Add Draft to WP node creates a draft post in WordPress with the generated content and title. Generate and Upload Image: The Generate Image node uses OpenAI to create a realistic, blog-appropriate image. The Upload Image node uploads the image to WordPress media. The Set Image node associates the uploaded image as the featured image for the blog post. SEO Optimization: The SEO Expert node analyzes the blog post and generates optimized meta titles and descriptions using an AI model (OpenRouter). The Set Metatag node updates the WordPress post with the generated meta tags. Update Google Sheets: The Update Sheet and Finish Work nodes update the Google Sheet with the post's details, including the URL, title, and metadata. 2. Set Up Steps To set up and use this workflow in n8n, follow these steps: Google Sheets Setup: Create a Google Sheet with columns for ID POST, PROMPT, TITLE, URL, METATITLE, and METADESCRIPTION. Link the Google Sheet to the Get Context node by providing the Document ID and Sheet Name. WordPress Integration: Set up WordPress credentials in n8n for the Add Draft to WP, Upload Image, and Set Image nodes. Ensure the WordPress site is accessible via its REST API. AI Model Configuration: Configure the DeepSeek and OpenRouter credentials in n8n for the Generate Article, Generate Title, and SEO Expert nodes. Ensure the AI models are correctly set up to generate content and meta tags. Image Generation: Set up OpenAI credentials for the Generate Image node to create blog post images. Meta Tag Optimization: The SEO Expert node uses OpenRouter to generate meta titles and descriptions. Ensure the node is configured to analyze the blog post content and produce SEO-friendly tags. Workflow Execution: Click the "Test workflow" button to trigger the workflow. The workflow will: Fetch the blog post context from Google Sheets. Generate the article, title, and image. Publish the draft to WordPress. Upload and set the featured image. Generate and apply meta tags. Update the Google Sheet with the post details. Optional Customization: Modify the workflow to include additional SEO optimizations, such as internal linking, keyword density analysis, or social media sharing. Need help customizing? Contact me for consulting and support or add me on Linkedin.

Workflow Description for n8n: Social Media Post from Ideas Copy This workflow automates the process of creating and publishing social media posts across multiple platforms (Twitter/X, Facebook, LinkedIn, and Instagram) based on content from a WordPress post. It uses AI models to generate platform-specific captions and images, and integrates with Google Sheets, WordPress, and various social media APIs. Is a powerful tool for automating social media post creation and publishing, saving time and ensuring consistent, platform-optimized content across multiple channels. Below is a breakdown of the workflow: 1. How It Works The workflow is designed to streamline the creation and publishing of social media posts. Here's how it works: Trigger: The workflow starts with a Manual Trigger node, which initiates the process when the user clicks "Test workflow." Fetch Data: The Google Sheets node retrieves the WordPress Post ID from a predefined Google Sheet. The Get Post node fetches the corresponding WordPress post content using the retrieved Post ID. Generate Social Media Content: The Social Media Manager node uses an AI model (OpenRouter) to analyze the WordPress post and generate platform-specific captions for Twitter/X, Facebook, LinkedIn, and Instagram. The AI ensures that each caption is tailored to the platform's audience, tone, and style, including hashtags and calls to action. Generate Images: The Image Instagram and Image Facebook e Linkedin nodes use OpenAI to generate platform-specific images for Instagram, Facebook, and LinkedIn posts. Publish on Social Media: The workflow publishes the generated content and images on the respective platforms: Publish on X: Posts the caption on Twitter/X. Publish on LinkedIn: Posts the caption and image on LinkedIn. Publish on Facebook: Posts the caption and image on Facebook. Publish on Instagram: Posts the caption and image on Instagram. Update Google Sheets: The workflow updates the Google Sheet to mark the posts as published (e.g., "X OK," "Facebook OK," "LinkedIn OK," "Instagram OK"). 2. Set Up Steps To set up and use this workflow in n8n, follow these steps: Google Sheets Setup: Create (or clone) a Google Sheet with columns for POST ID, TEXT, TWITTER, FACEBOOK, INSTAGRAM, and LINKEDIN. Link the Google Sheet to the Google Sheets node by providing the Document ID and Sheet Name. WordPress Integration: Set up WordPress credentials in n8n for the Get Post node. Ensure the WordPress site is accessible via its REST API. AI Model Configuration: Configure the OpenRouter credentials in n8n for the Social Media Manager node. Ensure the AI model is set up to generate platform-specific captions. Image Generation: Set up OpenAI credentials for the Image Instagram and Image Facebook e Linkedin nodes to generate images. Social Media API Integration: Set up credentials for each social media platform: Twitter/X: Configure the Publish on X node with Twitter OAuth2 credentials. LinkedIn: Configure the Publish on LinkedIn node with LinkedIn OAuth2 credentials. Facebook: Configure the Publish on Facebook and Publish on Instagram nodes with Facebook Graph API credentials. Test the Workflow: Click the "Test workflow" button in n8n to trigger the workflow. The workflow will: Fetch the WordPress post content. Generate platform-specific captions and images. Publish the posts on Twitter/X, Facebook, LinkedIn, and Instagram. Update the Google Sheet to mark the posts as published. Optional Customization: Modify the workflow to include additional platforms or customize the AI-generated content further. Need help customizing? Contact me for consulting and support or add me on Linkedin.

Overview An n8n workflow automating business travel planning via Telegram. Uses AI and APIs to find and book flights/hotels efficiently. Prerequisites Telegram Bot** (BotFather) API Keys**: OpenAI (transcription), SerpAPI (flights/hotels), DeepSeek (AI processing) n8n Instance** with API access Setup Instructions Import Workflow: Upload JSON to n8n. Configure API Credentials: Set up Telegram, OpenAI, SerpAPI, and DeepSeek keys. Webhook Activation: Ensure Telegram webhook is active with HTTPS. Test: Send a Telegram message and verify execution. Workflow Operation 1. User Input Processing Telegram bot triggers workflow, extracts text/audio. OpenAI transcribes voice messages. AI (DeepSeek) extracts key travel details (locations, dates, accommodation needs). 2. Travel Search Flights**: Uses SerpAPI for flight options (airlines, times, prices). Hotels**: Fetches accommodations with dynamic check-out date. 3. AI Recommendations & Customization DeepSeek** generates structured travel plans. Users can modify prompts to adjust AI responses for personalized results. Professional, well-structured responses with links. 4. Response Delivery Sends travel recommendations via Telegram with clear details. Use Cases Ideal for business professionals, executive assistants, frequent travelers, and small businesses. Customization & Troubleshooting Adjust memory handling and API calls. Modify prompts to refine AI output. Ensure API keys are active and network is accessible.

Who is this for? Content creators, digital marketers, and social media managers who want to automate the creation of short-form videos for platforms like TikTok, YouTube Shorts, and Instagram Reels without extensive video editing skills. What problem does this workflow solve? Creating engaging short-form videos consistently is time-consuming and requires multiple tools and skills. This workflow automates the entire process from ideation to publishing, significantly reducing the manual effort needed while maintaining content quality. What this workflow does This all-in-one solution transforms ideas into fully produced short-form videos through a 5-step process: Generate video captions from ideas stored in a Google Sheet Create AI-generated images using Flux and the OpenAI API Convert images to videos using Kling's API Add voice-overs to your content with Eleven Labs Complete the video production with Creatomate by adding templates, transitions, and combining all elements The workflow handles everything from sourcing content ideas to rendering the final video, and even notifies you on Discord when videos are ready. Setup (Est. time: 20-30 minutes) Before getting started, you'll need: n8n installation (tested on version 1.81.4) OpenAI API Key (free trial credits available) PiAPI (free trial credits available) Eleven Labs (free account) Creatomate API Key (free trial credits available) Google Sheets API enabled in Google Cloud Console Google Drive API enabled in Google Cloud Console OAuth 2.0 Client ID and Client Secret from your Google Cloud Console Credentials How to customize this workflow to your needs Adjust the Google Sheet structure to include additional data like video length, duration, style, etc. Modify the prompt templates for each AI service to match your brand voice and content style Update the Creatomate template to reflect your visual branding Configure notification preferences in Discord to manage your workflow This workflow combines multiple AI technologies to create a seamless content production pipeline, saving you hours of work per video and allowing you to focus on strategy rather than production.

Real Estate Price-Reduced Property Opportunity Guide Overview This comprehensive automation solution targets FSBO properties listed on Zillow that have recently had their price reduced, providing both investment analysis and tailored outreach scripts. The workflow gathers comprehensive market data to analyze local trends for each specific city and incorporates this intelligence into personalized communication strategies (more aggressive in buyers' markets, more value-focused in sellers' markets). Key benefits: Identify motivated homeowners who have recently reduced their property prices Prepare data-driven offer strategies based on detailed market conditions Develop effective, personalized communication approaches Create a consistent, automated workflow to find and capitalize on opportunities Requirements Airtable account (free tier works) n8n automation platform OpenAI API key Zillow Rapid API access Basic understanding of automation workflows Step 1: Set Up Airtable Database Create a new Airtable base Set up a table with the following fields: Property ID (primary field) Address Price Status (single select field with options: "Contacted" and "Uncontacted") Phone Number Communication Template Market Analysis Offer Price Investment Metrics (Long text field for detailed financial analysis) Expected Cash Flow (Currency field) Expected ROI (Percentage field) Follow-up Date Set the default Status to "Uncontacted" Generate a Personal Access Token from Airtable settings for API connections Step 2: Configure Zillow API Connection Set up an HTTP request node in n8n to connect to Zillow's Rapid API Configure the search parameters: Listing type: "For Sale By Owner" Location: Your target market Price reduction: true Auction properties: false Add filters to: Exclude properties without contact information Only include listings with recent price reductions Filter by minimum square footage or bedrooms if desired Set maximum days since price reduction (e.g., last 14 days) Step 3: Market Analysis Workflow Our market analysis engine processes Zillow market data to provide strategic insights for each location: Comprehensive Market Indicators**: Current inventory levels and new listing rates Median list price and sale price comparison Days-to-pending metrics (current and historical) Sale-to-list price ratios Percentage of properties selling above/below list price Market Trend Analysis**: 6-month and year-over-year comparative trends Market trend scoring system (-10 to +10 scale) Market cycle position identification (Early, Mid, Late) Seasonal market pattern recognition Strategic Investment Guidance**: Market type classification (Buyer's, Balanced, Seller's) Negotiation power assessment Market timing recommendations Risk evaluation (Low to High scale) Actionable investment strategies based on current conditions This analysis is transformed into actionable advice that directs your negotiation approach and helps you calibrate offers appropriately for market conditions. Step 4: Calculate Investment Metrics Our investment calculator analyzes each Zillow property and its RentZestimate to provide comprehensive financial projections: Purchase & Financing Analysis**: Purchase price and standard acquisition costs (20% down payment, 3% closing costs) Loan amount and monthly mortgage payment (30-year term) Total initial investment calculation Monthly Expense Projections**: Property tax (2% of property value annually) Insurance (0.5% of property value annually) Maintenance reserves (1% of property value annually) Vacancy allowance (8% of rental income) Total monthly expense calculation Rental Income & Returns**: RentZestimate integration (with 1% rule fallback when unavailable) Monthly and annual cash flow projections Cash-on-cash ROI calculation Break-even timeline analysis Investment Quality Filtering**: Automatic filtering to show only positive cash flow properties Property identification with complete details (address, beds, baths, sqft) Full investment metrics breakdown for investor decision-making This calculator ensures you focus only on properties with profit potential, saving you countless hours of manual analysis. Step 5: Generate Communication Templates Create templates that combine: Property details (address, price, features) Market intelligence from your analysis Investment metrics showing the property's potential Configures your templates to include: A professional introduction Reference to the specific property address Mention of the price reduction A strategic cash offer (typically 5-15% below asking) Local market statistics to build credibility A clear call to action (request to visit the property) Step 6: Automated Workflow Set up the complete n8n workflow to: Check for new listings with price reductions daily Run market analysis on each new property Calculate potential investment returns Generate personalized communication templates Upload data to Airtable Flag properties ready for contact Update status to "Contacted" after outreach Troubleshooting If outreach isn't being tracked: Check API connections to Airtable If market data seems incorrect: Verify Zillow API parameters and location settings If offers are too low/high: Adjust your calculation parameters Step by Step tutorial: https://youtu.be/IqVw9CIL254?si=MKE5UY4rD0TOMLPg By following this guide, you'll have a functional system that can identify opportunities, analyze market conditions, and help you create personalized offers to potential sellers—all while minimizing the manual effort required so you can focus on closing deals.

This workflow automates the process of analyzing emails and their attachments (PDFs and images) using AI models (DeepSeek, Gemini, and OpenRouter). It extracts and summarizes the content of emails and attachments, saves the summaries to Google Sheets, and sends a final consolidated summary via Telegram. This is a powerful tool for automating email analysis and summarization, saving time and ensuring that important information is easily accessible and actionable. Below is a breakdown of the workflow: 1. How It Works The workflow is designed to process incoming emails, analyze their content and attachments, and generate summaries. Here's how it works: Email Trigger: The workflow starts with the Email Trigger (IMAP) node, which monitors an email inbox for new emails. If an email contains attachments, the workflow processes them. Check for Attachments: The Contain Attachments? node checks if the email has attachments. If attachments are present, the workflow proceeds to process them. Process Attachments: The Get PDF and Images Attachments node extracts PDF and image attachments from the email. The Switch node separates PDFs and images for further processing: PDFs: The Extract from PDF node extracts text from PDFs, and the PDF Analyzer node summarizes the content. Images: The Analyze Image node uses AI to describe the content of images. Summarize Email Content: The Convert Text node converts the email's HTML content to plain text. The Email Summarization Chain node uses AI to generate a summary of the email's text content. Save Summaries: The Save Summary PDF, Save Summary Image, and Save Summary Text nodes save the summaries of PDFs, images, and email text, respectively, to Google Sheets. Consolidate Summaries: The All Summaries node aggregates the summaries of the email text, PDFs, and images. The Create Final Summary node uses AI to generate a unified summary of all the content. Send Final Summary: The Send Final Summary node sends the consolidated summary via Telegram to a specified chat ID. 2. Set Up Steps To set up and use this workflow in n8n, follow these steps: IMAP Configuration: Set up IMAP credentials in n8n for the Email Trigger (IMAP) node. Ensure the email account is accessible via IMAP. AI Model Configuration: Configure the DeepSeek, Gemini, and OpenRouter credentials in n8n for the Email Summarization Chain, PDF Analyzer, and Create Final Summary nodes. Ensure the AI models are set up to generate summaries. Google Sheets Integration: Set up Google Sheets credentials in n8n for the Save Summary PDF, Save Summary Image, and Save Summary Text nodes. Specify the Google Sheet and worksheet where the summaries will be saved. Telegram Integration: Set up Telegram credentials in n8n for the Send Final Summary node. Insert your Chat ID in the Telegram node to receive the final summary. Test the Workflow: Send an email with attachments (PDFs and images) to the monitored email account. The workflow will: Extract and summarize the email content and attachments. Save the summaries to Google Sheets. Send a consolidated summary via Telegram. Optional Customization: replace IMAP trigger with Gmail or Outlook trigger Modify the workflow to include additional features, such as: Adding more AI models for different types of analysis. Sending notifications via other channels (e.g., Slack, email). Integrating with other storage services (e.g., Dropbox, AWS S3). Need help customizing? Contact me for consulting and support or add me on Linkedin.

Your AI secretary that self-learning every day and remembers everything you said (text, audio, image). Imagine having a personal AI secretary accessible right from your Telegram, ready to assist you with information and remember everything you discuss. This n8n workflow transforms Telegram into your intelligent assistant, capable of understanding text, audio, and images, and continuously learning from your interactions. It integrates RAG's offline data ingestion and online querying functionalities, letting you save inspiration and key information permanently in real-time, and giving you an AI assistant that remembers all your dialogues and information. It builds and queries a powerful vector database in real-time, ensuring relevant and accurate responses. Video guidance on how to set up Telegram integration is also included. Who is this for? This template is ideal for: Individuals seeking a personal AI assistant for quick information retrieval and note-taking. Professionals who need to keep track of important conversations and insights. Anyone interested in leveraging the power of Retrieval-Augmented Generation (RAG) and vector databases for personal knowledge management. Users who want a self-learning AI that improves over time based on their interactions. What problem is this workflow solving? This workflow integrates RAG's offline data ingestion and online querying functionalities, letting you save inspiration and key information permanently in real-time, and giving you an AI assistant that remembers all your dialogues and information. This workflow addresses the challenge of information overload and the need for an easily accessible, personalized knowledge base. It eliminates the need to manually organize notes and search through past conversations. By automatically storing and retrieving information from a vector database, this workflow makes it effortless to access the knowledge you need, when you need it. It also provides a way to retain information from various media types like voice notes and images. What this workflow does: This workflow automates the following steps: Instant Information Capture:** Receives text messages, audio notes (transcribed), and images (with content analysis) directly from your Telegram. Intelligent Question Answering:** When you ask a question, the AI searches its knowledge base (Pinecone vector store) for relevant information and provides a comprehensive answer. It even considers your recent conversations for context. Automatic Knowledge Storage:** When you make a statement or provide information, the AI extracts key details and saves them in a Google Docs "memory palace." Daily Self-Learning:** Every day, the workflow automatically takes all the information stored in the Google Docs, converts it into a vector representation, and adds it to its knowledge base (Pinecone vector store). This ensures the AI continuously learns and remembers everything you've shared. Image Understanding:** Extracts text and information from images you send. Audio Transcription:** Automatically transcribes your voice notes into text for processing and storage. Short-Term Memory:** Remembers recent interactions within a session for more context-aware conversations. Setup: To get started, you'll need to connect the following services to your n8n instance: Telegram: Connect your Telegram bot API credentials. A video guidance is included for telegram integration setup. OpenAI: Provide your OpenAI API key for audio transcription and image analysis. Pinecone: Set up a Pinecone account and provide your API key and environment. Create a namespace in Pinecone. Google Docs: Connect your Google account with access to Google Docs. You'll need to create a Google Doc that will serve as the daily "memory palace" and provide its ID in the workflow. How to customize this workflow: Adjust the AI Agent's Personality:** Modify the system prompt in the "AI Agent" node to tailor the AI's tone and behavior. Expand Knowledge Sources:** Integrate other data sources into the daily learning process, such as emails or other documents, by adding more nodes to the scheduled trigger workflow. Add More Tools for the AI Agent:** Integrate additional tools into the AI Agent, such as web search or other APIs, to further enhance its capabilities. Modify the Daily Schedule:** Adjust the schedule trigger to run at a different time or interval.

Overview: Transform Your Trading with AI-Driven Technical Analysis The Stock Market Technical Analysis Bot is an advanced n8n workflow that brings professional-grade stock analysis to Telegram users. This powerful AI agent analyzes stock charts in real-time, providing detailed technical insights that would typically require expensive software or expert knowledge. By combining artificial intelligence with technical analysis indicators, this bot delivers actionable trading insights directly to your Telegram chat, making sophisticated market analysis accessible to traders of all experience levels. Key Features and Capabilities Advanced Technical Analysis Tools Japanese Candlestick Pattern Recognition**: Automatically identifies bullish engulfing, doji, hammer patterns and more MACD Indicator Analysis**: Detects bullish/bearish crossovers and divergence signals Volume Trend Analysis**: Validates price movements with volume confirmation Support & Resistance Level Identification**: Pinpoints key price levels for potential reversals Bollinger Bands & RSI Analysis**: Measures volatility and overbought/oversold conditions Real-Time TradingView Charts**: Professional-quality charts with multiple indicators AI-Powered Trading Assistant Natural Language Interface**: Interact with the bot using simple conversational commands Context-Aware Responses**: The bot remembers your previous interactions for more relevant analysis GPT-4o Integration**: Leverages advanced language models for detailed explanations Actionable Trading Insights**: Receive clear, jargon-free analysis with practical implications Technical Implementation Telegram Bot Integration**: Seamless messaging experience with instant responses n8n Workflow Automation**: No-code solution for complex trading analysis Memory System**: Maintains conversation context for personalized interactions API Connections**: Integrates with TradingView, chart-img.com, and OpenAI Setup Instructions Prerequisites n8n Instance: A running n8n installation with the following nodes: Telegram nodes LangChain nodes HTTP Request nodes Code node Required API Credentials: Telegram Bot API token (obtain from @BotFather) OpenAI API key Chart-img.com API key Installation Process Import the workflow template into your n8n instance Configure your Telegram bot credentials Set up your OpenAI API credentials Enter your chart-img.com API key in the HTTP Request node Activate the workflow to start receiving analysis requests How It Works: The Technical Analysis Process 1. User Interaction Flow When a user sends a message to the Telegram bot: The Telegram Trigger node captures the incoming message The AI Agent processes the request using natural language understanding If a stock symbol is detected, the GetChart tool is invoked 2. Chart Generation System The workflow creates professional TradingView charts with: Candlestick price data Bollinger Bands for volatility measurement Volume indicators for trade validation RSI (Relative Strength Index) for momentum analysis 3. AI Analysis Engine The GPT-4o model analyzes the chart and provides: Detailed breakdown of candlestick patterns MACD trend confirmation signals Volume analysis to validate price movements Support and resistance level identification Overall market sentiment assessment 4. Response Delivery The analysis is formatted and sent back to the user via Telegram, including: The generated chart image Comprehensive technical analysis text Actionable insights based on the indicators Use Cases and Applications For Day Traders Receive quick technical analysis before making trading decisions Validate your own analysis with AI-generated insights Track multiple stocks efficiently throughout the trading day For Swing Traders Analyze medium-term trends and potential entry/exit points Identify key support and resistance levels for stop-loss placement Get objective analysis to complement your trading strategy For Trading Communities Share consistent, AI-generated analysis among group members Create a common analytical framework for discussion Reduce the learning curve for technical analysis concepts For Financial Educators Demonstrate technical analysis concepts with real-time examples Provide students with accessible tools for practice Illustrate the application of various technical indicators Advanced Configuration Options The workflow can be customized to: Add additional technical indicators (Fibonacci retracements, Moving Averages, etc.) Modify the analysis parameters for different trading styles Integrate with other financial data sources for fundamental analysis Connect to different messaging platforms beyond Telegram Create scheduled analysis for watchlist stocks Troubleshooting Common Issues If you encounter problems: Authentication Errors: Verify all API credentials are correctly configured Telegram Connection Issues: Ensure your Telegram bot is properly set up Chart Generation Failures: Check your chart-img.com API key and quota Slow Response Times: Consider upgrading your OpenAI plan for faster processing Missing Indicators: Verify the chart configuration in the HTTP Request node About This Template This n8n workflow template demonstrates the power of combining conversational AI with technical analysis tools to create a sophisticated financial assistant. It showcases advanced workflow automation features including AI integration, external API connections, and complex data processing. By leveraging the latest advancements in AI and technical analysis, this template provides traders with professional-grade insights without requiring expensive software or deep technical expertise. Keywords: stock market analysis bot, AI trading assistant, technical analysis indicators, n8n workflow, Telegram trading bot, candlestick pattern recognition, MACD analysis, trading signals, automated stock analysis, GPT-4o financial analysis, TradingView charts, RSI indicator, volume analysis, support resistance levels, day trading bot, swing trading analysis, AI financial advisor

Generate SEO-Optimized WordPress Content with Perplexity Research Who is This For? This workflow is ideal for content creators, marketers, and businesses looking to streamline the creation of SEO-optimized blog posts for WordPress. It is particularly suited for professionals in the AI consulting and workflow automation industries. What Problem Does This Workflow Solve? Creating high-quality, SEO-friendly blog posts can be time-consuming and challenging, especially when trying to balance research, formatting, and publishing. This workflow automates the process by integrating research capabilities, AI-driven content creation, and seamless WordPress publishing. It reduces manual effort while ensuring professional-grade output. What This Workflow Does Research: Gathers detailed insights from Perplexity AI based on user-provided queries. Content Generation: Uses OpenAI models to create structured blog posts, including titles, slugs, meta descriptions, and HTML content optimized for WordPress. Image Handling: Automatically fetches and uploads featured images to WordPress posts. Publishing: Drafts the blog post directly in WordPress with all necessary formatting and metadata. Notification: Sends a success message via Telegram upon completion. Setup Guide Prerequisites: A WordPress account with API access. OpenAI API credentials. Perplexity AI API credentials. Telegram bot credentials for notifications. Steps: Import the workflow into your n8n instance. Configure API credentials for WordPress, OpenAI, Perplexity AI, and Telegram. Customize the form trigger to define your research query. Test the workflow using sample queries to ensure smooth execution. How to Customize This Workflow to Your Needs Modify the research query prompt in the "Form Trigger" node to suit your industry or niche. Adjust content generation guidelines in the "Copywriter AI Agent" node for specific formatting preferences. Replace the image URL in the "Set Image URL" node with your own source or dynamic image selection logic.

This n8n workflow automates the transformation of press releases into polished articles. It converts the content of an email and its attachments (PDF or Word documents) into an AI-written article/blog post. What does it do? This workflow assists editors and journalists in managing incoming press-releases from governments, companies, NGOs, or individuals. The result is a draft article that can easily be reviewed by the editor, who receives it in a reply email containing both the original input and the output, plus an AI-generated self-assessment. This self-assessment represents an additional feedback loop where the AI compares the input with the output to evaluate the quality and accuracy of its transformation. How does it work? Triggered by incoming emails in Google, it first filters attachments, retaining only Word and PDF files while removing other formats like JPGs. The workflow then follows one of three paths: If no attachments remain, it processes the inline email message directly. For PDF attachments, it uses an extractor to obtain the document content. For Word attachments, it extracts the text content by a http request. In each case, the extracted content is then passed to an AI agent that converts the press release into a well-structured article according to predefined prompts. A separate AI evaluation step provides a self-assessment by comparing the output with the original input to ensure quality and accuracy. Finally, the workflow generates a reply email to the sender containing three components: the original input, the AI-generated article, and the self-assessment. This streamlined process helps editors and journalists efficiently manage incoming press releases, delivering draft articles that require minimal additional editing." How to set it up 1. Configure Gmail Connection: Create or use an existing Gmail address Connect it through the n8n credentials manager Configure polling frequency according to your needs Set the trigger event to "Message Received" Optional: Filter incoming emails by specifying authorized senders Enable the "Download Attachments" option 2. Set Up AI Integration: Create an OpenAI account if you don't have one Create a new AI assistant or use an existing one Customize the assistant with specific instructions, style guidelines, or response templates Configure your API credentials in n8n to enable the connection 3. Configure Google Drive Integration: Connect your Google Drive credentials in n8n Set the operation mode to "Upload" Configure the input data field name as "data" -Set the file naming format to dynamic: {{ $json.fileName }} 4. Configure HTTP Request Node: Set request method to "POST" Enter the appropriate Google API endpoint URL Include all required authorization headers Structure the request body according to API specifications Ensure proper error handling for API responses 5. Configure HTTP Request Node 2: Set request method to "GET" Enter the appropriate Google API endpoint URL Include all required authorization headers Configure query parameters as needed Implement response validation and error handling 6. Configure Self-Assessment Node: Set operation to "Message a Model" Select an appropriate AI model (e.g., GPT-4, Claude) Configure the following prompt in the Message field: Please analyze and compare the following input and output content: (for example) Original Input: {{ $('HTTP Request3').item.json.data }} {{ $('Gmail Trigger').item.json.text }} Generated Output: {{ $json.output }} Provide a detailed self-assessment that evaluates: Content accuracy and completeness Structure and readability improvements Tone and style appropriateness Any information that may have been omitted or misrepresented Overall quality of the transformation 7. Configure Reply Email Node: Set operation to "Send" and select your Gmail account Configure the "To" field to respond to the original sender: {{ $('Gmail Trigger').item.json.from }} Set an appropriate subject line: RE: {{ $('Gmail Trigger').item.json.subject }} Structure the email body with clear sections using the following template: handlebars EDITED ARTICLE* {{ $('AI Article Writer 2').item.json.output }} SELF-ASSESSMENT* Rating: 1 (poor) to 5 (excellent) {{ $json.message.content }} ORIGINAL MESSAGE* {{ $('Gmail Trigger').item.json.text }} ATTACHMENT CONTENT* {{ $('HTTP Request3').item.json.data }} Note: Adjust the template fields according to the input source (PDF, Word document, or inline message). For inline messages, you may not need the "ATTACHMENT CONTENT" section.

This n8n workflow template automates the process of collecting and delivering the "Top Deals of the Day" from MediaMarkt, tailored to user preferences. By combining user-submitted forms, Bright Data web scraping, GPT-4o-mini deal generation, and email delivery, this workflow sends personalized product recommendations straight to a user’s inbox. > ⚠️ Note: This workflow uses community nodes (Bright Data and Document Generator) which only work on *self-hosted n8n instances*. 🚀 What It Does Collects user preferences via a form (categories + email) Scrapes MediaMarkt’s deals page using Bright Data Uses GPT-4o-mini (OpenAI) to recommend top deals Generates a structured HTML email using a template Sends the personalized deals directly via email 🧩 Community Node Integration We created and used the following community nodes: Bright Data** – To scrape MediaMarkt deals using proxy-based scraping Document Generator** – To generate a templated HTML document from deal data These nodes are not available in n8n Cloud and require self-hosted n8n. 🛠️ Step-by-Step Setup Install Community Nodes Make sure you're on a self-hosted n8n instance. Install: n8n-nodes-brightdata n8n-nodes-document-generator Configure Credentials Bright Data API Key (Proxy + Scraping setup) OpenAI API Key (GPT-4o-mini access) SMTP Credentials for sending emails Customize the Form Adapt the form node to collect desired categories and email addresses. Typical categories include appliances, phones, laptops, etc. Design Your HTML Template In the Document Generator node, you can tweak the HTML/CSS to change how deals appear in the final email. Test the Workflow Submit the form with test data and check that the entire flow—from scraping to email—executes as expected. 🧠 How It Works: Workflow Overview User Interaction via Form Users select product categories and enter their email. This triggers the workflow. Data Extraction via Bright Data Bright Data scrapes the MediaMarkt offers page and returns HTML content. HTML Parsing Key elements like product names, prices, and links are extracted for processing. GPT-4o-mini Recommendation Generation The extracted data is sent to OpenAI (GPT-4o-mini), which filters, ranks, and enhances deals based on the user’s preferences. Data Structuring & Split The result is split into individual deal items to be formatted. HTML Document Creation Document Generator populates a clean HTML template with the top recommended deals. Email Delivery The final document is emailed via SMTP to the user with a friendly message. 📨 Final Output Users receive a custom HTML email featuring a curated list of top MediaMarkt deals based on their selected categories. 🔐 Credentials Used Bright Data API** – Web scraping with proxy support OpenAI API** – Generating personalized recommendations SMTP** – Sending personalized deal emails ✨ Customization Tips Change the Data Source**: You can adapt this to scrape other e-commerce sites. Update the Email Template**: Make it match your branding or include images. Extend the Form**: Add preferences like price range or specific brands. Add Scheduling**: Use Cron to run the workflow daily or weekly. ❓Questions? Template and node created by Miquel Colomer and n8nhackers.com. Need help customizing or deploying? Contact us for consulting and support.