This workflow provides intelligent assistant features by integrating the LINE chat platform, Google Calendar, and Gmail. It supports users in querying and creating calendar events through natural language, as well as obtaining email summaries. Its highlights include seamless collaboration across multiple systems and intelligent semantic understanding, which can effectively enhance user productivity, facilitate schedule and email management, and alleviate the hassle of frequently switching between applications. It is suitable for both individual users and corporate assistants.

This workflow integrates the sms77 SMS service to enable one-click rapid sending of preset messages. Users only need to manually trigger the process to send messages to designated numbers, enhancing communication efficiency. It is suitable for scenarios such as customer reminders, order confirmations, and event notifications, making it particularly beneficial for sales, customer service, and operations teams. The workflow simplifies the SMS notification process, avoiding cumbersome manual operations and meeting users' needs for instant message delivery.

This workflow monitors a specified Gmail inbox in real-time and automatically processes new emails with attachments. When an eligible email is detected, it extracts all attachments, renames them according to a specific format, and uploads them to a designated directory in Google Drive. This not only eliminates the hassle of manual downloads but also achieves automatic archiving and cloud backup of email attachments, enhancing file management efficiency. It is suitable for businesses or individual users who need centralized storage and sharing of email attachments.

This workflow can automatically extract text from newly uploaded PDF files and images in a specified Google Drive folder, using Google Vertex AI and Openrouter AI for intelligent recognition and analysis. The extracted transaction data will be converted into a CSV file with classification information and automatically uploaded back to Google Drive, thereby streamlining the manual data entry and classification process, improving the efficiency and accuracy of data processing, and making it suitable for various scenarios such as financial management and data analysis.

This workflow is a comprehensive customer service automation solution designed to enhance the customer support efficiency of fintech companies. By automatically querying customer information, generating support tickets, scheduling meetings, and synchronizing data, the system significantly reduces manual operation time and optimizes response speed. Additionally, it can flexibly integrate with various platforms to ensure smooth data flow, assisting product teams in analyzing customer feedback and achieving efficient automation of business processes.

This workflow implements automatic synchronization between Zendesk and Jira, ensuring that customer support tickets are real-time linked to development tasks. By listening for the trigger of new tickets, the system can automatically determine whether a ticket has already been created in Jira, subsequently creating a new task or adding comments, and writing back the Jira key identifier to Zendesk. This process effectively addresses the issue of information silos, enhances cross-departmental collaboration efficiency, and ensures that customer issues can be quickly escalated and followed up on.

This workflow can automatically receive and process multiple vectors, ensuring the consistency of input data dimensions. It calculates the centroid of these vectors, which is the average value across all dimensions, and returns the results in a user-friendly format. It effectively addresses common issues in multidimensional data processing and is applicable in fields such as data analysis, machine learning, and geographic information systems, enhancing the automation and accuracy of data processing.

This workflow is designed to automate the detection and management of spam messages in Discord communities. It utilizes an AI text classifier to identify potential spam messages in real time and forwards them to administrators for manual review. Administrators can choose to delete, warn, or take no action, allowing for flexible content management. This process supports batch processing and concurrent execution of sub-workflows, effectively reducing the burden on administrators, ensuring a clean and harmonious community environment, while also enhancing management efficiency and user experience.

This workflow is a node visual guide that clearly presents various commonly used nodes, categorized by functional modules such as triggers, data transformation, and AI intelligent agents. Users can intuitively understand the types and purposes of each node, allowing for quick onboarding and design of automated processes, making it especially suitable for beginners and automation designers. With rich external application integration and connection displays, it helps users understand the relationships between nodes and improves workflow design efficiency, making it an ideal tool for learning and reference.

This workflow is designed to automate the testing and analysis of the performance of multiple large language models locally. By dynamically retrieving the list of models and standardizing system prompts, users can easily compare the output performance of different models on specific tasks. The workflow records request and response times, conducts multi-dimensional text analysis, and structures the results for storage in Google Sheets, facilitating subsequent management and comparison. Additionally, it supports flexible parameter configuration to meet diverse testing needs, enhancing the efficiency and scientific rigor of model evaluation.

This workflow automatically adds newly received email information (sender, subject, and summary) to a Google Sheets spreadsheet, streamlining the email management process. By monitoring the inbox in real-time, it automatically extracts email data and archives it as structured information, addressing the complexities and errors often found in traditional email management. It is suitable for customer support, sales, and operations teams, enhancing work efficiency and data availability, making it easier for subsequent analysis and decision-making.

This workflow can automatically read PDF files from a specified path and extract their content, significantly improving the efficiency and accuracy of document processing. Users only need to manually trigger the process, and the system will sequentially read the binary data and parse it into usable text. It is suitable for the automated processing of documents such as contracts and reports in a digital office environment, helping businesses and developers to collect information and analyze data more conveniently.

This workflow enables the automatic creation, updating, and querying of security cases on TheHive platform. Users can trigger it with a single click, quickly generate cases, and flexibly adjust their severity levels while receiving real-time updates on the latest case information. By reducing manual operations, it significantly enhances the automation and response efficiency of case management, making it suitable for security operation centers and incident response teams. It helps optimize the security incident handling process, ensuring timely tracking and resolution of security incidents.

This workflow automates the quick conversion of specified webpage content into high-quality PDF files. Users simply need to input the webpage URL to easily generate a PDF and save it locally, streamlining the process of saving and archiving webpage content. It avoids the formatting chaos and information loss associated with traditional methods, making it suitable for efficient use by businesses, individuals, and developers in scenarios such as content review, compliance audits, and market research.

This workflow automates security vulnerability scanning and report generation through Slack integration. Users can initiate a scan with one click, select a report template, and customize the output format to quickly generate detailed reports. The system intelligently routes different interaction events and provides real-time feedback on operation results, simplifying the traditionally cumbersome processes. It is suitable for enterprise security teams, IT operations, and DevOps, enhancing work efficiency, enabling rapid responses to security risks, and promoting intelligent and efficient security management.

This workflow automatically synchronizes the status of Wise transfers to Airtable, enabling real-time updates and management of transfer information. By listening for changes in transfer status events, it automatically extracts key information (such as transfer ID, date, notes, and amount), reducing manual operations and improving data accuracy and timeliness. It is suitable for finance teams and cross-border payment businesses, helping users quickly grasp transfer progress and enhance fund management efficiency, making it an ideal solution for modern financial automation.

This workflow automates the process of obtaining the latest artificial intelligence-related funding information from the U.S. grants.gov website. Utilizing AI models, it quickly analyzes the summaries of funding projects and the eligibility of businesses, removes duplicate records, and ultimately organizes the qualifying funding opportunities into a visually appealing email newsletter, which is automatically sent to subscribed users. This process significantly enhances the capture rate and accuracy of funding information, helping the team efficiently track and manage funding opportunities.

This workflow intelligently analyzes and processes OpenSea market data using an AI language model, supporting users in real-time queries regarding the listings, prices, and order details of NFT collections. It features a conversation memory function that maintains context across multiple interactions, enhancing query accuracy. Users can flexibly filter NFT attributes, automate the acquisition of market dynamics, simplify complex API calls, and improve data query efficiency, making it suitable for NFT traders, analysts, and developers.

This workflow builds an intelligent dialogue assistant that combines natural language processing with database management, allowing users to query and analyze data using natural language without needing to master SQL skills. It can dynamically generate SQL queries, retrieve database table structures, process JSON data, and provide clear and understandable feedback on query results. This tool significantly lowers the barrier to database operations and is suitable for scenarios such as internal data analysis, customer service, product support, and education and training, enhancing the convenience and efficiency of data querying.

This workflow automatically collects course feedback through an online form, intelligently categorizes it, and stores it in different spreadsheets, significantly improving the management efficiency of feedback data. Users can easily access both positive and negative feedback, allowing them to optimize course design and improve products. It is suitable for educational training institutions, course developers, and product managers, helping them quickly organize and analyze user opinions, reduce the tediousness of manual processing, and enhance work efficiency.

This workflow automates the process of generating and publishing multi-platform social media content from WordPress articles. By utilizing AI to analyze the articles, it creates personalized copy and images tailored to the styles of platforms such as Twitter, Facebook, LinkedIn, and Instagram. It integrates with Google Sheets for content management and status tracking, significantly improving content publishing efficiency, simplifying operational processes, and helping brands enhance their influence and user engagement. It is suitable for content creators and social media operators.

This workflow automatically scrapes popular posts from specified Reddit communities, intelligently filters out information with commercial value, and uses AI technology to determine whether it reflects genuine business needs. It ultimately generates concise summaries of business opportunities and automatically organizes the results in Google Sheets for easy analysis and sharing. This process greatly enhances the efficiency of market research, product development, and investment analysis, helping users quickly capture and understand industry pain points and opportunities.

This workflow can automatically monitor mentions of specified companies on Twitter, fetching the latest tweets every 10 minutes and filtering relevant information. It instantly pushes the retrieved tweet content and links to a designated Slack channel, helping businesses effectively keep track of brand dynamics, avoid public opinion blind spots, and enhance brand public relations and market response efficiency. It is suitable for marketing, brand public relations, and customer service teams.

This workflow automates the synchronization of newly created tickets in Zendesk to a designated Slack channel. It supports the automatic creation and reply of Slack threads, and writes back the thread ID to a custom field in the Zendesk ticket, ensuring real-time information association. Through this automation process, customer service and technical teams can communicate efficiently, reduce response times, avoid information loss, and enhance overall collaboration efficiency, making it suitable for businesses that need to respond quickly to customer issues.