This workflow enables the automatic creation, updating, and retrieval of contacts in Google Contacts, greatly simplifying the contact management process. Users can complete the addition of new contacts, information updates, and data queries in one simple operation, enhancing work efficiency and information accuracy. It is particularly suitable for businesses, marketers, and customer service teams, helping them efficiently maintain contact information for clients and partners, while addressing the cumbersome and error-prone issues of traditional management methods.

The main function of this workflow is to automatically send log information to the BetterStack log management platform via HTTP POST requests, enabling centralized collection and management. Users can choose to call it as an independent workflow or embed it into other workflows, facilitating real-time reporting of errors and status logs. Additionally, the built-in testing node makes it easy to debug and verify configurations, enhancing operational efficiency and system stability. This is suitable for teams and enterprises that require unified log monitoring.

This workflow automates the processing of user research data by importing survey responses from Google Sheets, generating text vectors using OpenAI, and storing them in the Qdrant database. It identifies major groups through the K-means clustering algorithm and utilizes large language models to perform intelligent summarization and sentiment analysis on the group responses. Finally, the insights are automatically exported back to Google Sheets, creating a structured research report. This process enhances analysis efficiency and helps decision-makers quickly gain deep insights.

This workflow can monitor the price of Bitcoin (BTC) against the Euro (EUR) in real-time and automatically send SMS alerts to users when the price reaches or exceeds 9,000 euros. By automatically updating price data every minute, users can stay informed about key price changes, helping them make quick investment or trading decisions and reducing the risks associated with information lag. It is particularly suitable for cryptocurrency investors and market observers.

This workflow is manually triggered to automatically extract all order data with a "Completed" status from the Unleashed Software system, helping users efficiently filter and centrally manage order information. It is suitable for finance, sales, or operations teams, effectively reducing the time spent on manual queries, improving the accuracy and efficiency of order management, and facilitating subsequent data analysis and report generation.

This workflow automatically retrieves newly created tickets from the ConnectWise system and merges similar tickets based on company and site, pushing them in real-time to the Dispatch team on Microsoft Teams. It checks for new tickets every minute through scheduled tasks, while utilizing a Redis database to avoid duplicate notifications, ensuring the team receives the latest ticket information promptly. This process significantly enhances ticket processing efficiency and team collaboration, making it suitable for IT service management and customer support scenarios.

This workflow automatically triggers continuous integration build tasks by listening for code commit and pull request events in a specified GitHub repository, effectively enhancing code quality and delivery efficiency. It automates operations, reducing the cumbersome steps of manually triggering builds, making it suitable for software development teams and operations engineers. This helps them ensure automated testing and building after code changes in collaborative projects. Secure authentication is implemented to ensure the reliability of operations.

This workflow automatically fetches messages from specific channels in Microsoft Teams, utilizing OpenAI's GPT-4.1 model to intelligently generate weekly report summaries for team members. These summaries are then integrated into an overall weekly report, which is ultimately published in HTML format. This process saves time on manual organization, enhances transparency and engagement in team collaboration, and helps remote or distributed teams effectively consolidate communication information, thereby improving work efficiency. It serves as an important tool for project management and team operations.

This workflow can automate the updating of custom text in YouTube video descriptions. Users only need to set the text to be inserted and the position identifier, allowing for batch processing of multiple videos and avoiding the hassle of manual modifications. It is particularly suitable for content creators who frequently need to update promotional links, contact information, and other details. This workflow efficiently maintains the consistency of video descriptions, saves time and labor costs, and ensures timely synchronization of information.

This workflow automates the code review process of GitHub Pull Requests by utilizing OpenAI's GPT-4 model to generate intelligent review comments, which are then directly posted as comments. Additionally, it incorporates coding best practices from Google Sheets to ensure the professionalism and consistency of the reviews. After the review, the workflow adds a "ReviewedByAI" label to the relevant PRs, optimizing management and tracking, and significantly enhancing the efficiency and quality of code reviews, making it suitable for software development teams and open-source projects.

This workflow is manually triggered and automatically retrieves detailed information about specified companies. It is simple to operate and does not require complex configuration. It helps users quickly and accurately obtain business information about target companies, significantly saving time on manual searches and data organization, and enhancing the efficiency of market research and lead generation. It is suitable for sales, marketing, and data analysis professionals, supporting precise marketing and decision-making analysis when formulating customer development strategies.

BillBot is an intelligent automation tool for expense reimbursement processing that can extract key information from receipt images uploaded by users and automatically input the data into Google Sheets. It sends confirmation messages via Telegram to ensure users receive real-time feedback, while also sending SMS notifications to relevant personnel, enhancing the transparency and efficiency of expense management. This tool effectively simplifies the cumbersome expense reimbursement process, reduces human errors, and is suitable for corporate finance teams as well as individuals or teams that need to handle expenses efficiently.

The main function of this workflow is to automate the extraction of content from specified web pages. Users only need to provide the webpage URL, and the system will use the FireCrawl API to retrieve the webpage data and convert it into Markdown format for return. This process lowers the technical barrier and enhances extraction efficiency, making it suitable for various scenarios such as AI intelligent agents, office automation, data collection, and content monitoring, thereby facilitating quick integration of web scraping functionality for both developers and non-technical users.

This workflow efficiently manages and synchronizes design version updates by automatically connecting Figma with Jira. When there are changes to the design version in Figma, the system automatically adds detailed update comments to the relevant Jira tasks, ensuring timely communication of information between the development and design teams. This not only enhances cross-departmental collaboration efficiency but also reduces the cumbersome manual update processes, making it suitable for teams that require close cooperation.

The main function of this workflow is to achieve smart task management through Telegram. Users can quickly record and update to-do items using text and voice messages. It automatically transcribes voice messages into text and utilizes AI for intent understanding, combined with contextual memory, to support the creation, querying, and updating of Google Tasks. This process simplifies the cumbersome steps of traditional task management, enhancing the work efficiency of individuals and teams, making it suitable for busy professionals and users looking for intelligent office solutions.

This workflow integrates Tavily's search and content extraction API with OpenAI's language model to achieve intelligent web information retrieval and content summarization. Users can input a topic in the chat window, and the system automatically filters highly relevant search results and extracts webpage content, ultimately generating a structured summary. This process addresses the issues of information overload and lack of structure found in traditional search methods, making it suitable for various scenarios such as research, business decision-making, and content creation, thereby enhancing the efficiency and quality of information acquisition.

This workflow implements the automatic refresh functionality for OAuth 2.0 access tokens of the Pipedrive API, ensuring that tokens are automatically updated after expiration, thus avoiding manual intervention. Access and refresh tokens are stored and managed through a Supabase database, enhancing security and reliability. This mechanism is suitable for automated systems that frequently call the Pipedrive API or any business scenarios that require OAuth 2.0 token management, ensuring the continuity and stability of API calls.

This workflow automates the processing of Excel files to achieve batch updates of user roles in the Zammad system. Users simply need to upload an Excel file containing email addresses and role IDs, and the system will automatically download, parse, and match the corresponding users to complete the role updates. This process eliminates cumbersome manual operations, significantly enhancing the efficiency and accuracy of permission management, making it suitable for scenarios where IT administrators and human resources departments need to quickly adjust user permissions.

This workflow uses the XML-RPC protocol via HTTP requests to automatically publish content to a Wordpress.com blog. Users can customize the blog address, username, application password, and article content to achieve efficient content publishing. The workflow includes built-in request response handling and success/failure judgment to ensure process stability, making it suitable for content creators, marketers, and technical teams. It simplifies multi-platform content publishing and enhances work efficiency and accuracy.

This workflow receives domain query requests via Webhook, automatically verifies the domain format and DNS records, checks whether it is using Cloudflare services, and promptly sends alert emails to the Cloudflare and Steam security teams based on the results. It integrates command-line tools for domain resolution, ensuring data accuracy and logical rigor, effectively assisting the cybersecurity team in quickly identifying and reporting potential phishing websites, enhancing the response efficiency to phishing threats, and protecting user asset security.

This workflow quickly triggers vulnerability scan requests through Slack, allowing users to conveniently fill in parameters and automatically initiate Qualys virtual machine scans. It implements scheduled polling of the scan status to monitor progress and processes the results in JSON format. Ultimately, it pushes the scan summary and report links to a designated Slack channel, facilitating real-time information access for the team. This process greatly simplifies operations for the security team, improves efficiency, and reduces human errors, making it an important tool for enterprise security protection.

This workflow implements intelligent translation of voice messages through a Telegram bot, supporting 55 languages. Users simply need to send a voice message, and the system will automatically recognize the language and translate it, providing responses in both text and voice formats. This feature addresses the barriers of cross-language communication, enhancing the convenience of interaction, and is suitable for various scenarios such as language learning, travel, international collaboration, and customer service. Through automated processing, the user experience is significantly improved, enabling seamless communication.

This workflow automates the collection of customer reviews from Trustpilot and utilizes AI technology to extract key information from the reviews and perform sentiment analysis. By structuring the review data and analyzing sentiment trends, businesses can quickly gain insights into customer feedback, monitor brand reputation, and simultaneously update the results in real-time to Google Sheets. This enhances the efficiency of data collection and analysis, supporting market research, customer service improvement, and decision-making.

This workflow allows for the manual triggering of a quick batch sending of customized emails to designated inboxes, utilizing AWS SES services to ensure efficient and stable email delivery. It simplifies the bulk email sending process, making it suitable for operations and marketing teams during important notifications, marketing campaigns, and urgent information dissemination, while avoiding the complexities of setting up an email system. Users can achieve email sending with simple operations, enhancing work efficiency and meeting various flexible email sending needs.