This workflow can automatically respond to specified GET requests, retrieving PDF files from a remote server and returning them as attachments to the requester. The filename includes the current date for easier management and identification. Through this process, users can download specific PDF documents in real-time without manually accessing and saving files, achieving automated, efficient, and secure distribution suitable for websites, applications, and any scenario that requires instant PDF downloads.

This workflow can automatically extract the most recently released video data from a specified YouTube channel, filter out short videos, and select high-performing long videos from the past two weeks while calculating the like rate. After organizing the data, the high-quality video information will be stored in a PostgreSQL database, supporting subsequent data analysis and operational decision-making. This will help content creators and data analysts monitor video performance in real-time and optimize content strategies.

This workflow captures new appointment information from Calendly, utilizes intelligent services to automatically enrich customer profiles, and synchronizes the complete data to a Notion database, achieving automated data collection and management. It addresses the cumbersome issue of manually organizing customer information, enhances data integrity and accuracy, and is suitable for sales, recruitment, and marketing teams. This helps improve customer relationship management efficiency, saves time, and promotes team collaboration.

This workflow combines AI technology to achieve a full-process video generation from text prompts to automatic publishing across multiple platforms. Users only need to provide their ideas, and the system can automatically optimize the prompts, generate high-quality videos, add voiceovers and subtitles, and finally publish with one click to various social media platforms. This greatly enhances content creation efficiency and lowers production barriers, making it suitable for marketers, content creators, and businesses in various scenarios, helping them easily manage and distribute video content.

This workflow is designed to automate the recommendation of new books. Users can select specific topics (such as children's literature), and the system will randomly select a book from the Open Library API. The recommendation information is sent via email, ensuring that users regularly receive high-quality reading suggestions. It supports manual triggering and scheduled execution, providing convenient book selection services for individuals, institutions, libraries, and educational organizations, effectively saving time in finding books and improving reading efficiency.

This workflow is designed to automatically convert uploaded CSV files or text data into JSON format, supporting multiple input methods and intelligently parsing delimiters to ensure data accuracy. The conversion results are returned via API response, and in the event of an error, detailed notifications are sent to a Slack channel for real-time monitoring. This tool simplifies traditional data processing workflows, enhances response speed and stability, and lowers the technical barrier, making it suitable for software developers, business operations, and data teams to efficiently perform data format conversion and integration.

This workflow implements real-time monitoring of newly created tickets in the ServiceNow system. It automatically retrieves the most recently created tickets every 5 minutes, organizes their details, and pushes them to a designated Slack channel. Additionally, if any exceptions occur during the connection process, error notifications will be sent promptly to enable the operations team to respond quickly. This process effectively enhances ticket handling efficiency, ensures that critical events are not overlooked, and improves collaboration and information flow among teams.

This workflow is manually triggered to automatically connect to the Invoice Ninja system, enabling the batch retrieval and quick summarization of invoice data. Users can efficiently extract the latest invoice information with just one click, avoiding the tedious process of querying and organizing data line by line, significantly enhancing work efficiency. It is suitable for finance, accounting, and management personnel, supporting intelligent financial management and automated operations.

This workflow automatically retrieves 24-hour trading data for BTC, ETH, and SOL from Binance every hour. It uses a custom analysis function to calculate key market indicators and pushes the results to a designated Telegram group chat in a formatted HTML message. It can summarize cryptocurrency market trends in real-time, eliminating the need for manual queries, and provides multi-dimensional market insights to help traders and investors stay updated on market dynamics, thereby improving decision-making efficiency and information transparency.

This workflow automatically monitors new lead information in Google Sheets, utilizes OpenAI's GPT-4 model for intelligent qualification assessment, and writes the results back to the spreadsheet. It can filter and categorize clients in real-time, significantly enhancing the speed and quality of lead identification, helping marketing and sales teams focus on high-value clients and optimize resource allocation. This solution is user-friendly and highly customizable, making it suitable for businesses and teams that require intelligent customer management.

This workflow implements AI chatbot functionality through Slack's Slash commands, allowing it to receive user input and generate intelligent replies, which are automatically sent back to the Slack channel. It supports multiple command switches, enhancing the flexibility and efficiency of message interactions, and helps users quickly build an intelligent Q&A system within Slack, addressing the complexity issues of traditional chatbots. It is suitable for scenarios such as internal corporate communication, customer service automated replies, and education and training, significantly improving user experience and work efficiency.

This workflow implements automatic monitoring and processing of newly uploaded PDF files in a specific folder on Google Drive. By calling a third-party API, it automatically converts the PDF files to HTML format and saves the generated HTML files back to Google Drive. This process requires no manual intervention, significantly improving the efficiency of file conversion and simplifying the operational steps. It is suitable for individuals and businesses that frequently handle PDF documents, helping to address the cumbersome issues of traditional conversion processes.

This workflow automatically retrieves weather data for Berlin every day and sends instant push notifications via the Gotify service, helping users quickly stay updated on the latest weather conditions. Users do not need to check manually, which enhances the efficiency of planning for both personal and professional activities, such as travel planning and event organization. By utilizing scheduled triggers and real-time notifications, it ensures that users receive timely information about weather changes, thereby improving the accuracy and safety of their plans.

This workflow demonstrates how to efficiently merge information from different data sources, similar to various join operations in SQL. By simulating two sets of data, it showcases multiple data merging methods such as inner join, left join, and union, helping users understand the processes of data filtering, enrichment, and integration. It is applicable in scenarios such as supply chain management, data analysis, and team management, assisting users in quickly achieving data integration and analysis to enhance work efficiency.

This workflow automatically extracts and fills in the content of uploaded PDF files by listening for update events in the table. Utilizing AI technology, it generates dynamic extraction prompts based on field descriptions to ensure that data is accurately and efficiently entered into the table. It can automatically process PDF files, dynamically respond to field changes, and support both batch and single record processing, greatly simplifying the information entry process for unstructured documents and enhancing the efficiency of data management in enterprises.

This workflow implements automated testing and performance evaluation of multiple local large language models. It integrates the LM Studio server, supporting dynamic invocation of various models to generate text. Users can guide the model to produce text that meets specific readability standards through custom prompts. Additionally, the workflow includes multiple text analysis metrics that calculate output quality in real-time and automatically save the results to Google Sheets, facilitating subsequent comparisons and data tracking, significantly enhancing the efficiency and accuracy of language model testing.

This workflow utilizes AI technology to enable natural language queries of databases and automatically generates dynamic charts based on user requirements. Through intelligent analysis and automatic judgment, users can quickly obtain intuitive data presentations, enhancing data insight efficiency. It supports various types of charts and employs online services for rapid rendering, making it suitable for business analysts, non-technical personnel, and team managers. This simplifies the data visualization process, making decision-making more efficient and convenient.

This workflow automatically listens for Netlify form submission events, extracts user information such as name, email, and role, and then saves it in a structured format to an Airtable database. This process enables efficient archiving and management of form data, reducing the tediousness and error risks associated with manual input, ensuring that data is synchronized in real-time and accurately, and enhancing the level of automation in data management. It is suitable for various scenarios that require the collection and analysis of user information.

This workflow is designed to streamline the email marketing process by automatically creating marketing campaigns, bulk adding contacts, and sending emails instantly, thereby improving efficiency and reducing human errors. It is suitable for marketing teams, allowing for the quick setup of email campaigns, effective management of contacts, and precise targeting of potential customers. It is widely used in scenarios such as new product promotions, customer maintenance, and event invitations.

This workflow is designed to verify the message signatures from Slack Webhooks, ensuring the authenticity of the message source and preventing malicious requests and data tampering. By implementing a signature verification mechanism using the HMAC SHA256 algorithm, users can enhance security in automated processes integrated with Slack, avoiding phishing and forgery attacks. It is suitable for enterprise security teams and developers, simplifying the security protection of automated systems and ensuring the credibility of Webhook data.

This workflow automates the integration of the Printify e-commerce platform, Google Sheets, and AI technology to achieve intelligent updates of product titles and descriptions. Users can batch optimize product information, enhancing content appeal and market competitiveness while reducing manual operation errors and efficiency issues. It is suitable for e-commerce sellers and operations teams, helping them quickly manage and update product information, support holiday promotions, and improve sales conversion rates.

This workflow automatically extracts the latest articles from the Ghost blogging platform, cleans the content, and uses AI to generate professional promotional copy for LinkedIn. It also records both the original text and the promotional copy in Google Sheets. Through automation, it significantly enhances the efficiency of converting blog content into social media copy, ensures consistent quality of the copy, and simplifies the content management process, making it ideal for content marketing teams and social media operators.

This workflow achieves efficient information retrieval and intelligent Q&A by automatically downloading specified files from Google Drive and splitting their content into manageable text blocks. Users can ask questions through a chat interface, and the system quickly searches for relevant content using a vector database and OpenAI models, generating accurate answers along with citations. This process significantly enhances the efficiency of document information acquisition and the credibility of answers, making it suitable for various scenarios such as academic research, enterprise knowledge management, and customer support.

This workflow automates the creation and updating of contact information in Copper CRM, simplifying the cumbersome process of manual entry and maintenance. Users can quickly create contacts and update their details through simple trigger actions, ensuring data accuracy and consistency. This process greatly enhances the efficiency of sales teams and customer relationship management, making it suitable for business users who need to efficiently manage CRM data, while promoting team collaboration and intelligent customer management.