This workflow builds an intelligent support chatbot that can receive user messages in real-time and engage in smart conversations using OpenAI's GPT-4o-mini model. At the same time, it dynamically retrieves the latest knowledge base content by calling the search API of the AcuityScheduling support center, ensuring the accuracy and timeliness of the response information. It integrates a conversation memory feature to enhance user experience and reduce the maintenance costs of traditional customer service, making it suitable for the customer service automation needs of SaaS companies.

This workflow automatically retrieves real-time location information of the International Space Station (ISS) every minute, organizes the data, and pushes it to a specified Kafka topic, achieving high-frequency updates and distribution of orbital data. Through this process, users can monitor the ISS's position in real time, avoiding manual queries and ensuring that data is transmitted quickly and stably to downstream systems, supporting subsequent analysis and visualization. It is suitable for various scenarios, including aerospace research, real-time tracking, and big data applications.

This workflow automates the monitoring of multiple RSS feeds, fetching and filtering new articles published within the last hour every hour, and then instantly pushing them to users via email. It effectively addresses the inefficiency of manually checking for updates, ensuring that users receive important information in real time. This is suitable for teams focused on industry trends, content creators, and those needing public opinion monitoring, enhancing the convenience and timeliness of information retrieval.

This workflow aims to automate post-meeting management by integrating multiple services. It automatically retrieves Google Meet meeting recordings and transcribes them into text, utilizing AI smart agents for content summarization and key point extraction. The system can automatically identify follow-up tasks and create Google Calendar events, inviting relevant participants. This significantly enhances meeting efficiency, reduces manual operations and the risk of omissions, making it suitable for various scenarios such as remote work, project management, and internal corporate meetings.

This workflow is automatically triggered every morning to retrieve membership change information from Mailchimp since the last execution and synchronizes it in real-time to HubSpot, updating or creating contact records. By recording the execution time, it ensures the continuity and accuracy of data synchronization, addressing cross-platform data consistency issues, enhancing the efficiency of marketing and customer management, and reducing manual operations and potential errors. It is suitable for businesses that require real-time updates of customer data, significantly optimizing the workflow.

This workflow automatically retrieves SharePoint list data through a scheduled trigger, enhancing the efficiency and security of data synchronization. It dynamically generates OAuth access tokens, eliminating the cumbersome process of manually obtaining tokens, and securely calls the SharePoint API to achieve automated monitoring and retrieval of data. It is suitable for enterprises to regularly synchronize data, monitor key changes, and support digital transformation. The overall design emphasizes security management and recommends the use of secure credential management services to effectively reduce operational risks.

This workflow is manually triggered and automatically creates and updates content items in the Webflow website, enabling quick publishing and editing of content. It addresses the cumbersome operations and data inconsistency issues found in traditional content management, significantly improving content management efficiency. It is suitable for website content teams, marketers, and developers, as it simplifies daily content handling processes, reduces manual maintenance work, and ensures timely and accurate content updates.

This workflow efficiently completes contact information through batch asynchronous calls to the Dropcontact API, supporting up to 1,500 requests per hour. It automatically filters eligible contact data, ensuring that the data format is standardized, and employs batch processing with a waiting mechanism to prevent request overload. The completed information is updated in real-time to the Postgres database, and it includes anomaly monitoring and alerting features to ensure process stability. This workflow is suitable for enterprise CRM, marketing teams, and data management, significantly enhancing data quality and processing efficiency.

This workflow is designed to automatically push information to a Discord server after a Webflow form submission. By dynamically creating the corresponding channel and sending formatted Markdown messages, it ensures that team members can promptly receive and process form data. Additionally, when a new channel is created, a notification will be posted in the #general channel to enhance team collaboration and centralized information management. This process effectively reduces the workload of traditional manual checking and notifications, improving the speed and accuracy of feedback handling.

This workflow is designed to automate the processing of YouTube videos by calling an API to extract video subtitles and using an AI language model to generate concise and clear content summaries. Users only need to provide the video link to quickly obtain the core information of the video, significantly enhancing information retrieval efficiency and saving time on watching and organizing. It is suitable for content creators, researchers, and professionals, helping them efficiently distill and utilize video materials to optimize their learning and work processes.

This workflow is designed to automate the processing of form submissions from WordPress websites, seamlessly transferring valid lead information to Mautic for management. By receiving and parsing data in real-time, standardizing field formats, and verifying email validity, it effectively prevents junk data from entering the marketing system. This process not only saves time on manual operations but also enhances data quality, supports precise marketing, and helps businesses improve customer relationship management efficiency. It is suitable for teams and individuals looking to optimize marketing automation.

This workflow allows users to manually trigger it, quickly connect to and query specified data tables in a Postgres database, facilitating immediate data retrieval and display. The operation is simple and responsive, making it particularly suitable for scenarios that require real-time queries or data debugging, such as data analysis, development testing, and business data acquisition. By avoiding complex configurations, this workflow enhances the efficiency of data access and meets various manual query needs.

This workflow can automatically organize and synchronize the Spotify songs that users save each month, avoiding the hassle of manual operations. Through scheduled triggers, the system creates playlists named with "Month + Year," ensuring timely updates and archiving of song information each month, thus preventing data confusion. Users can easily manage their musical preferences, making it convenient to review and share, while also supporting content creators and tech enthusiasts in achieving automated management to enhance work efficiency.

This workflow automates the processing of user online forms to obtain business email addresses and verify their validity. Next, it uses a scoring model to assess the potential customer value, intelligently filtering out high-quality leads with a score above 60. For these high-quality leads, the system automatically pushes the relevant information to a designated Slack channel, helping the sales team respond quickly. This process flexibly supports various form services, significantly improving lead management efficiency and team collaboration capabilities.

This workflow automatically monitors new videos from a specified YouTube channel, extracts English subtitles, and uses AI to generate a concise three-point summary, which is then pushed in real-time to a Discord channel. Through this process, users can quickly grasp the core content of the videos, saving time on watching while enhancing interaction and information dissemination within teams or communities. It is suitable for content creators, educational institutions, and anyone needing to efficiently share video information, simplifying the process of sharing video content.

This workflow implements automated task management for the Wekan kanban, capable of automatically creating the kanban along with its to-do and completed task lists, and generating task cards in the to-do list. Users only need to manually trigger the process, which will automatically handle task creation and status updates, significantly improving task management efficiency, reducing manual operation errors, and enhancing transparency and execution in team collaboration. It is suitable for various scenarios such as project management and software development.

This workflow automates the process of identifying missing webpage titles and description information from Airtable. It then fetches the corresponding webpage content, extracts the <title> tag and <meta name="description"> content, and writes the extracted SEO metadata back to Airtable. This process requires no manual intervention, significantly improving the efficiency and accuracy of data maintenance, addressing the issue of incomplete webpage SEO metadata, and helping website administrators and content operations teams easily optimize SEO performance.

This workflow can automatically convert Markdown format video descriptions in Airtable into HTML format and synchronize the converted content back to the table. It supports processing single records or batch records, significantly improving the efficiency of content format conversion and addressing the cumbersome and error-prone issues of manual conversion. It is suitable for scenarios that require format standardization, such as content operations and website development, helping teams reduce repetitive tasks and enhance work efficiency and data consistency.

This workflow can automatically scrape RSS news feeds from Google News, extract and decode news links, and obtain clean article addresses that are directly accessible. It supports news in multiple languages and regions, automatically limits the number of processed items to prevent request overload, and employs a reverse decoding mechanism to bypass URL encoding and obfuscation. The output links are convenient for subsequent use, making it suitable for applications such as media monitoring, content collection, and data analysis, significantly enhancing the efficiency and accuracy of obtaining news links.

This workflow provides an efficient dynamic one-time password (TOTP) verification solution without the need for additional credentials. By using the TOTP key and verification code input by the user, the system can instantly validate the effectiveness of the code, making it suitable for two-factor authentication and security-related automation processes. This solution reduces integration complexity and security risks while enhancing the convenience and accuracy of verification, making it particularly suitable for developers, operations personnel, and security teams.

This workflow implements automatic monitoring of SSL certificate validity for multiple websites. It regularly retrieves URLs to be checked from Google Sheets and uses the SSL-Checker.io API to check the certificate status in real-time. If a certificate is set to expire within 7 days, the system automatically sends an email reminder to enhance the automation and timeliness of certificate management, effectively preventing security risks and service interruptions caused by expired certificates, and ensuring the safe and stable operation of the websites.

This workflow can automatically monitor a specified folder in Google Drive, retrieving the latest uploaded documents in real-time and generating intelligent summaries using AI technology. The summary results and relevant document metadata will be automatically stored in Google Sheets for easy management and quick reference. Through this process, users can efficiently handle documents, reduce manual organization time, while ensuring the timeliness and accuracy of information, thereby enhancing overall work efficiency.

This workflow implements an intelligent Discord Q&A bot that can automatically respond to user inquiries about YouTube channel content. By combining the Google Gemini language model with contextual memory, users can receive accurate and personalized answers to their questions, while also supporting multi-turn conversations to enhance the interactive experience. The automated responses reduce the pressure on human customer service, ensuring quick and accurate replies, making it suitable for Discord community operators and content creators, effectively improving community engagement efficiency.

This workflow automatically extracts data from uploaded PDF files through dynamic field descriptions and updates Airtable records in real time, significantly improving data entry efficiency. Utilizing Webhook triggers, the system can respond to the creation and updating of forms, and, combined with a large language model, intelligently parses PDF content. It supports both single-line and batch processing, addressing the time-consuming and error-prone issues of traditional manual information extraction, making it suitable for the automated management of documents such as enterprise contracts and invoices.