This workflow integrates artificial intelligence with a weather API to provide an intelligent weather inquiry service. Users only need to enter the city name and the number of days for the query in the chat interface, and the system will automatically retrieve the city's latitude and longitude, as well as future weather information, offering accurate weather forecasts. It supports multi-turn dialogue memory, enhancing the user experience. This service is suitable for scenarios such as travel planning, education and training, and intelligent customer service, allowing users to quickly obtain the weather data they need, thereby assisting with daily travel and decision-making.

This workflow automatically retrieves all emails from a specified inbox every morning at 7 AM, capturing those from the past 24 hours. It utilizes the GPT-4o-mini model for intelligent summarization and extraction of key information, ultimately generating an aesthetically pleasing HTML format email summary that is sent to the team’s inbox. It helps the team efficiently manage a large volume of emails, quickly understand important content and tasks, avoid information omissions, and enhance communication efficiency. This is particularly suitable for corporate teams that need to regularly organize email information.

This workflow primarily implements automatic backup of all credentials to a GitHub repository, with files named according to the workflow ID and saved in JSON format. It supports scheduled execution and manual triggering, and can automatically compare the differences in backup files to ensure updates only occur when changes are detected, thereby reducing storage space and redundant commits. By processing each credential data in a loop, it optimizes memory usage. This workflow provides users with secure and reliable credential management and version control, enhancing backup efficiency and reducing manual operations.

This workflow achieves intelligent management and querying of bank statements by monitoring the addition, deletion, and modification events within a local folder. It utilizes a vector database to synchronize file content, generating efficient semantic vector embeddings that support natural language interaction, thereby enhancing query accuracy and response speed. Users can quickly locate and understand a large number of financial documents, significantly improving the utilization efficiency of financial data and the querying experience.

This workflow automatically generates and classifies prompts by utilizing the Google Gemini language model to process user input, producing high-quality structured prompt text. It intelligently names and categorizes the prompts, ultimately saving the results to an Airtable database. This process streamlines traditional manual editing, enhances the efficiency of building and maintaining the prompt library, and ensures that the content is accurate and standardized. It is suitable for various scenarios such as AI product development and automated customer service, improving the effectiveness and consistency of AI agent task execution.

This workflow enables automated interaction with the Brave search engine through the Telegram chat interface. Users can quickly obtain search results by simply sending the command “/brave query content,” eliminating the need for conventional multitasking. By automatically cleaning the command text, it ensures the accuracy of the search keywords. It is suitable for users, community operators, and developers who need to quickly access information in a chat environment, enhancing the convenience and responsiveness of information retrieval.

This workflow is designed to automatically capture and handle errors that occur in other workflows, generate detailed error information, and send alert notifications through a specified Slack channel. Users can quickly learn about workflow failures, error nodes, and specific error details, thereby improving fault response speed. With a unified error capture and notification mechanism, it helps the team quickly locate and fix issues, making it suitable for scenarios that require real-time monitoring and collaborative handling of automated processes.

This workflow provides personalized drinking reminders through scheduled alerts and intelligent message interactions, helping users develop good hydration habits. Users can quickly log their water intake via Slack, with the data automatically synced to Google Sheets for centralized management and analysis. By incorporating health content generated by OpenAI, the reminders are enhanced in professionalism and encouragement. Additionally, data linkage with health applications is achieved through iOS shortcuts, optimizing the user's health management experience.

This workflow automatically reads YouTube video links from Google Sheets, captures comment data in real-time, and uses an AI model to perform sentiment analysis on the comments, classifying them as positive, neutral, or negative. The analysis results are updated back to Google Sheets, ensuring consistency and timeliness in data management. By supporting pagination for comment retrieval and allowing flexible update frequencies, it greatly enhances the ability of content creators and brand teams to gain insights into audience feedback, helping to optimize content strategies and market responses.

This workflow provides efficient employee information management through the PayCaptain API, supporting employee search, detail retrieval, and information updates. Users can conveniently manage data through a compatible MCP client while implementing strict filtering on sensitive fields to ensure information security. All operations are recorded in Google Sheets, enhancing audit capabilities and improving transparency and compliance. This solution is particularly suitable for companies that need to centralize employee information management and prioritize data security, thereby increasing the automation and efficiency of human resource management.

This workflow automatically fetches RSS news from multiple well-known technology websites, utilizing AI technology for intelligent analysis and summarization of the content. It generates a personalized weekly technology news briefing and sends it to users via email. Through this automated process, users can efficiently filter key information, avoid information overload, and easily stay updated on industry trends. It is suitable for tech enthusiasts, corporate teams, and professionals, enhancing information retrieval efficiency and reading experience.

This workflow automatically downloads images from Google Drive, extracts color channel information, and generates semantic keywords. It utilizes a multimodal large language model to create textual descriptions of the image content. Ultimately, it generates a structured embedded document, which is stored in a memory vector database, supporting image vector searches based on textual descriptions. This process enhances the accuracy and flexibility of image retrieval, making it suitable for various fields such as digital asset management, media advertising, and e-commerce.

This workflow automatically queries alarm data in Elasticsearch at scheduled times every day, intelligently determining whether there are any alarm messages. When an alarm is detected, it automatically creates the corresponding task ticket in Azure DevOps, thereby improving the response speed and processing efficiency of alarms. Through this automated process, the team can promptly track and manage potential issues, avoiding the inefficiencies of manual queries and task creation, ensuring that each alarm is effectively addressed and enhancing overall work efficiency.

This workflow automatically renames specified key names in a set of initial data through a manual trigger function, helping users quickly achieve data field conversion and standardization. It is suitable for use in scenarios such as development debugging and data preprocessing, effectively addressing the issue of inconsistent field naming. This reduces the tediousness of manual modifications, enhances the efficiency and accuracy of data organization, and facilitates the use of subsequent processes.

This workflow primarily implements the automatic crawling of the latest articles from Paul Graham's official website, extracting and vectorizing the content to store it in the Milvus database. Users can quickly query relevant information through an intelligent Q&A system. By leveraging OpenAI's text generation capabilities, the system can provide users with precise answers, significantly enhancing the efficiency and accuracy of information retrieval. It is suitable for various scenarios, including academic research, knowledge base construction, and educational training.

This workflow automatically retrieves alarm data from the PRISM Elastic API and sends formatted email notifications to designated users via the Microsoft Graph API. Triggered on a schedule without manual intervention, it ensures timely responses and prevents the omission of important alarm information. The email content includes the alarm name, severity level, and detailed information, helping IT operations and security teams improve efficiency, quickly address abnormal events, and build an intelligent monitoring system.

This workflow integrates advanced language models to automatically generate structured WordPress blog post drafts and supports content rewriting for different reading levels. Users can easily set the theme, and the system will automatically generate articles that meet SEO requirements along with relevant cover images, which are then uploaded to WordPress, ready for one-click publishing. Additionally, it offers Google Drive backup and Telegram notification features to ensure content security and operational transparency, greatly enhancing the efficiency of content creation and publishing.

This workflow receives images sent by users through the Line platform and utilizes OpenAI's DALL·E model to transform them into Lego-style images, which are then sent back to the users in real-time. It simplifies the process for ordinary users to convert images into artistic works, enhancing the fun of social interactions. This is suitable for scenarios such as digital art creation and brand marketing. The process is highly automated and efficient, meeting users' needs for creative expression.

This workflow is designed to automatically retrieve DNS records for a specified domain name. Users only need to manually trigger it to quickly generate domain information and call external API interfaces to obtain complete DNS entries. By integrating the query process, it significantly enhances work efficiency and reduces the complexity of manual operations. It is suitable for professionals such as IT operations personnel, network administrators, and developers, helping them quickly understand and monitor the DNS configuration of domains.

This workflow integrates text-to-image generation technology, allowing users to submit descriptions online and choose painting styles to automatically generate high-quality AI art images. It supports switching between various artistic styles and uploads the generated 8K ultra-high-definition images to cloud storage for easy sharing and subsequent access. Users do not need to install any software, providing a user-friendly experience suitable for various scenarios such as artistic creation, design inspiration, and marketing, enhancing the convenience and flexibility of AI art creation.

This workflow automatically extracts articles published yesterday from a specified RSS feed every morning, formats them, and pushes them to a designated Slack channel. This automation process helps the team efficiently obtain and share the latest updates, avoiding manual searches and improving the speed and accuracy of information dissemination. It is suitable for fields such as content operations, technical research and development, and marketing, ensuring that team members can stay informed about important information in a timely manner.

This workflow automates the retrieval of brand information for specified company domains, including logos, icons, and company names, and stores this information in a structured format in an Airtable database. By calling the Brandfetch API, users can manually trigger the data collection process, significantly reducing manual workload and improving data accuracy. This facilitates users in various fields such as marketing, brand management, and design to quickly access and manage brand information, supporting the company's brand development and customer maintenance efforts.

This workflow automatically processes nested lists by receiving data from external POST requests, generates Excel format spreadsheet files, and directly returns them to the requester. It aims to quickly convert complex API data into an easily viewable and analyzable format, addressing the cumbersome issues of manual organization and format conversion. It is suitable for developers, analysts, and business scenarios that require automated data export, thereby improving work efficiency.

This workflow automates the synchronization of GetResponse subscription data, extracting and storing users' names and email information in real-time into an Airtable database. By listening for subscription events, it automatically organizes and appends data, significantly reducing the workload and errors associated with manual entry, while improving the timeliness and accuracy of data updates. This helps marketing teams and data analysts efficiently manage subscriber information and optimize customer relationship management.