This workflow is designed to automate the handling of issues and comments in GitHub repositories. It intelligently determines whether a responsible person needs to be assigned and automatically assigns unassigned issues to appropriate users. It can recognize requests from users who proactively claim tasks, avoiding duplicate assignments and significantly enhancing project management efficiency. Whether in open-source projects or internal enterprise development, this workflow helps accelerate response times, reduce the burden on maintainers, and achieve more efficient team collaboration.

This workflow showcases an example of a chatbot application that is closely integrated with the Bitrix24 platform. It receives and processes chat events in real-time through Webhooks, automatically responding to user messages and supporting dynamic application token validation to ensure secure communication. Additionally, the workflow streamlines the registration and management process for the bot, enabling automatic sending of welcome messages to enhance user interaction experience. It is suitable for internal customer communication and collaboration within enterprises, helping to improve customer service efficiency and reduce operational costs.

This workflow automatically processes uploaded PDF files by listening to events from the Baserow table. It utilizes an AI language model to extract key information from the PDFs and populates the corresponding fields in the table, supporting dynamically defined extraction rules for intelligent data entry. This process significantly improves data processing efficiency, reduces manual operations and errors, and is suitable for document management scenarios such as contracts and invoices, aiding in the digital transformation of enterprises.

This workflow automates operations through Slack commands, supporting quick response and processing of various instructions. It features request security verification, command parsing, and parameter recognition to ensure data security and meet different business needs. Discussion threads can be created in designated channels to facilitate team collaboration, while help document links are provided to enhance user self-service capabilities. With flexible configuration, it supports modular management of complex scenarios, greatly simplifying operational processes and improving work efficiency.

This workflow automates the retrieval of detailed data for main project items and their sub-items from Monday.com, recursively obtaining associated contact information and structuring the data. It supports converting the results into JSON format for easy subsequent upload or export. With a flexible process design, users can efficiently handle multi-level task data, avoiding manual queries and enhancing project management transparency and collaboration efficiency. It is suitable for teams and analysts who need to export or integrate data in bulk.

The Smart Voice Mail Reply Assistant can automatically filter emails that require a response and receive voice replies via Telegram. Utilizing AI technology, it converts voice into text and refines it into a professional email draft. Finally, it automatically generates a Gmail draft and archives it, improving email response efficiency. This assistant is particularly suitable for business professionals who frequently handle emails, supporting quick replies in a mobile office environment and enhancing communication quality and professionalism.

Airtop Web Agent is an intelligent web automation tool that can perform complex web interaction operations such as querying, clicking, and inputting based on user natural language instructions. It utilizes AI technology to automatically parse instructions, simplifying the complexities of traditional web automation. Additionally, it provides real-time execution results through Slack, facilitating team communication and collaboration. It is suitable for data scraping, market research, and integration of internal workflows, enhancing work efficiency and response speed.

This workflow automatically searches for business location information in a specified area by calling the Google Maps API, and writes the deduplicated data (such as name, address, phone number, rating, etc.) into Google Sheets, significantly improving the efficiency of potential customer acquisition. The built-in retry mechanism ensures stability under API call limits, making it suitable for marketing teams, sales personnel, and data analysts, thereby supporting precise marketing and business decision-making.

This workflow utilizes artificial intelligence technology to achieve automated information monitoring and summary generation. It regularly fetches articles from designated RSS sources, classifies content relevance using an AI model, generates summaries suitable for Slack format, and pushes them to specified channels. Additionally, it uses Google Sheets to manage the source list and processed articles, preventing duplicate monitoring, enhancing information processing efficiency, and helping the team quickly access industry trends and key information.

This workflow implements an intelligent chat assistant named Pizzaro, primarily used for pizza ordering. Through natural language interaction, customers can easily inquire about the menu, place orders, and check order status. The system integrates AI models and various tools to obtain product information in real time and automatically process orders, effectively addressing the slow response and error-prone issues of traditional ordering processes. This enhances the efficiency and accuracy of customer service and is suitable for various scenarios such as dining and e-commerce platforms.

This workflow primarily utilizes AI technology to automatically identify and extract key information from payslip images sent by users in chat tools, including status, sender, receiver, date, and amount. The extracted data is replied to the user in real-time and simultaneously saved to a spreadsheet. This process not only enhances the efficiency of payslip information processing and reduces manual input errors but also achieves intelligent classification and contextual memory, significantly improving the user interaction experience. It is suitable for the automation needs of corporate HR and finance departments.

This workflow automatically adds user-submitted URLs to a designated Notion database by receiving POST requests via a Webhook, enabling quick saving and management of bookmarks on a structured platform. It addresses the cumbersome manual processes and information fragmentation associated with traditional bookmark management, enhancing the efficiency of information collection. This solution is suitable for personal and team knowledge management, document archiving, and other scenarios, helping users easily achieve automated recording of web links.

This workflow combines a powerful language model with a MongoDB database to provide intelligent movie recommendation services. Users input their preferences through a chat interface, and the system real-time parses and generates database query code to retrieve matching movie data. At the same time, users can easily save their favorite films, enhancing the interactive experience and convenience of information management. This innovative solution significantly simplifies the complexity of traditional movie recommendation systems and is applicable in various scenarios such as film and television platforms, data analysis, and personalized services.

This workflow implements an automatic translation function from English text to German. Users can trigger the Google Translate service with a simple click, ensuring high-quality language conversion. It effectively addresses the inefficiencies and errors associated with traditional manual translation, making it suitable for multinational companies generating German documents, translating multilingual website content, and educational training scenarios. Through OAuth2 secure authentication, it ensures the security of data exchange, enhancing the efficiency and accuracy of translations.

This workflow implements automated deployment functionality by monitoring a specific folder in Google Drive, automatically downloading and processing JSON files of n8n workflows. After formatting and cleaning, it uses an API to import the workflows into a designated instance and automatically sets tags. Finally, the deployed files are archived into another folder. The entire process requires no manual intervention, significantly enhancing the efficiency of workflow management and deployment, making it suitable for teams that need to manage and update workflows in bulk.

This workflow is triggered at regular intervals and automatically retrieves real-time location data of the International Space Station every minute, including latitude, longitude, and timestamps. It features an intelligent deduplication function to ensure that the output trajectory points are the most recent and unique, preventing duplicate records and thereby enhancing the accuracy and timeliness of the data. It is suitable for aerospace research institutions, educational projects, and aerospace enthusiasts, enabling efficient monitoring and analysis of the dynamics of the International Space Station.

This workflow implements automatic monitoring and notification of the latest comments from competitors on the G2 platform. It fetches comments daily, parses them, and converts them into Markdown format to avoid duplicate entries. New comments are sent in real-time to a designated Slack channel, ensuring the team is promptly informed. Additionally, new comments are structured and saved in Google Sheets for easier data analysis and management, helping the business efficiently grasp competitive dynamics and optimize market strategies.

This workflow is designed to quickly send preset emails through manual triggering, utilizing Mailjet services to ensure stable email delivery and high delivery rates. It simplifies the email sending process, avoiding the need for manual copying and pasting of content and recipient information, making it particularly suitable for scenarios that require frequent sending of test emails or notifications. Users can simply click the "Execute" button to perform the email notification operation, significantly improving work efficiency, and it is ideal for product testers, marketing personnel, and others.

This workflow automatically monitors audio file uploads in Google Drive, downloads them, and utilizes OpenAI's Whisper model for high-quality transcription. It then generates a structured summary using the GPT-4 Turbo model and finally synchronizes the results to a Notion page. This effectively addresses the inefficiencies of traditional audio management and information extraction, significantly enhancing the utilization efficiency of audio materials. It is suitable for various scenarios such as meeting notes, interview organization, and academic lectures, helping users quickly access key information.

This workflow is designed to automatically monitor competitors' pricing information. It begins by retrieving pricing page links from Google Sheets and uses intelligent extraction tools to analyze prices and features. By comparing with historical data, it identifies price changes in real time and feeds the updated information back into Google Sheets. Additionally, it notifies the team via Slack to ensure timely awareness of market dynamics. This process effectively reduces manual checking time, improves data flow efficiency, and helps businesses quickly adjust strategies to enhance market competitiveness.

This chat assistant workflow is based on Slack messages and can automatically receive user messages while filtering out distractions from the bot. It utilizes a built-in AI model combined with contextual memory and various knowledge tools to provide personalized and direct responses, simulating the style of the character Gilfoyle from "Silicon Valley." This tool not only enhances team communication efficiency but also automatically queries real-time information, improving the user interaction experience. It is suitable for scenarios such as internal corporate support and knowledge base inquiries.

This workflow enables the reception of images sent by users via Telegram, automatically invoking intelligent analysis services for in-depth interpretation. It then promptly replies to the user with the analysis results in text form. The system can detect images in real-time, quickly process messages without images, and operates without human intervention, significantly enhancing the efficiency of image content recognition and feedback. It is suitable for various scenarios such as community management, customer service, and marketing.

This workflow automates the extraction and intelligent summarization of the latest articles from Paul Graham's official website. Users only need to trigger it with a single click, and the system will extract the article links, retrieve the main content, and generate a summary using the GPT-4o-mini model. The final output includes the article title, summary, and link. This process is efficient and time-saving, making it ideal for content creators, researchers, and anyone interested in Paul Graham's ideas, helping them quickly access and understand the essence of the articles and improve information processing efficiency.

This workflow enables the automatic conversion of HTML content to PDF files and their compression, facilitating document archiving and sharing. Users can easily generate PDFs by manually triggering the process and efficiently compress them to reduce file size, saving storage space and transmission bandwidth. Additionally, it supports retrieving PDFs from specified URLs for compression, catering to various scenarios and significantly enhancing the flexibility and efficiency of document processing, making it suitable for businesses, developers, and content creators.