This workflow is designed to automate the bulk sending of messages to Telegram users by extracting chat IDs from Google Sheets. Messages are sent in batches of 30, with a 30-second interval between each batch. This process significantly improves the efficiency of message delivery, reduces human errors, and avoids API limitations caused by sending messages too quickly, ensuring stable delivery of messages. It is particularly suitable for scenarios such as community management, marketing promotion, and customer support.

This workflow automatically scrapes financing news from major technology news websites, accurately filters and extracts key information such as company names, financing amounts, and investors. It combines various AI models for in-depth semantic analysis, providing detailed company backgrounds and market analysis. The research results are automatically stored in an Airtable database for easy management and subsequent analysis, helping venture capitalists, researchers, and business decision-makers to access industry trends in real-time, thereby improving decision-making efficiency and information value.

This workflow integrates the security incident response platform TheHive, enabling the automatic creation and reading of security alerts, as well as the sending and resolution of alert notifications through the SIGNL4 service. Its highlights include the use of Webhooks for real-time triggering and conditional judgment, automating the management of security incidents to enhance response efficiency and accuracy. It is suitable for information security teams and Security Operations Centers (SOC), helping enterprises quickly monitor and address security threats, ensuring smooth and efficient information security operations.

This workflow automates the process of obtaining, renaming, and merging images, enabling bulk uploads across multiple social media platforms such as Instagram and TikTok. It addresses the complexities and errors associated with manual downloading and uploading, enhancing the efficiency and consistency of content publishing. This makes it particularly suitable for social media operators and content creators, helping them manage and publish visual content more effectively.

This workflow allows for the quick invocation of specified automated tasks through manual triggering, enabling the execution of preset tasks without the need to log into the console. It is simple to operate and responds quickly, making it suitable for operations, development, and business teams that need to trigger processes instantly, significantly enhancing the convenience and efficiency of task execution. Its design aims to help users manage automated tasks flexibly and efficiently, optimizing workflows.

This workflow receives requests via Webhook and uses custom JavaScript to quickly convert preset HTML content into PDF files, returning them in binary format to the caller. It automates the generation and distribution of PDF documents, addressing the need for instant conversion of dynamic HTML content into standard PDFs. It is suitable for scenarios such as online forms, reports, contracts, etc., enhancing the efficiency of document generation and reducing manual intervention.

This workflow utilizes the OpenAI GPT-4 model to achieve understanding and generation of natural language. It can generate structured information based on user input and ensures the accuracy of output format and content through an automatic correction mechanism. It addresses the shortcomings of traditional language models in terms of data formatting and information accuracy, making it suitable for scenarios such as data organization, report generation, and content creation. It helps users efficiently extract and verify structured data, thereby enhancing work efficiency and reliability.

This workflow automatically updates the exchange rates of the US dollar against various currencies daily by calling an external exchange rate API to obtain the latest data. The data is then formatted and the updated exchange rate information is written into a specified Google Sheets document. Additionally, historical exchange rate data will be archived for easy future reference and analysis. This process is suitable for cross-border e-commerce, foreign trade companies, and finance teams, enhancing the efficiency and accuracy of exchange rate data maintenance while reducing the complexity of manual operations.

This workflow integrates AI agents with Google Calendar to achieve natural language-driven calendar event management and text processing capabilities. Users can automatically search for, create, update, and delete calendar events while enjoying an intelligent interactive experience. It also supports diverse functions such as text case conversion, random user data generation, and joke retrieval, making it suitable for smart schedule management for both individuals and teams, thereby enhancing office efficiency and user experience.

This workflow is manually triggered to quickly send customized alerts to SIGNL4, enabling instant notifications. It is easy to operate; simply click the "Execute" button to send the alert, enhancing response efficiency. It addresses the issue of delayed notifications for urgent events, ensuring that critical alerts are rapidly communicated to the relevant personnel. It is suitable for scenarios such as operations monitoring, emergency response, and security alerts. This workflow is particularly well-suited for teams that need to swiftly handle unexpected incidents, simplifying the alert sending process and improving incident response speed and handling efficiency.

This workflow provides a secure Webhook solution that utilizes Bearer Token for authentication, ensuring that only authorized clients can access it. It validates the required fields in the request body to ensure data integrity and returns a standardized JSON response. Users can flexibly configure the authentication token and required fields, and after successful validation, custom business logic can be inserted. This is suitable for API interfaces that require strict authentication and data format requirements, ensuring the security and effectiveness of data exchange.

This workflow intelligently edits images by receiving users' chat messages and uploaded images, utilizing OpenAI's image editing API. Users only need to provide text prompts, and the system can automatically generate or modify high-quality images (1024x1024 resolution), converting the results into a manageable file format. This simplifies the image creation process, making it suitable for content creators, designers, and marketers, enhancing work efficiency and lowering the barriers to image editing.

This workflow automates the processing of sales call recordings, providing high-accuracy audio-to-text transcription services and conducting in-depth analysis using AI. It utilizes AssemblyAI for speaker-labeled text transcription and employs the OpenAI GPT-4 model to assess customer intent and potential upsell opportunities. The results are ultimately stored in a structured format in a database for easy retrieval and management. This solution significantly enhances the communication efficiency and conversion rates of the sales team, helping to accurately grasp customer needs.

This workflow can automatically convert and upload image URLs stored as text in Airtable tables as attachments in bulk, simplifying the image management process and improving data processing efficiency. Users only need to trigger it manually, and the system will automatically filter and update records, addressing the issue of inconvenient image display. It is particularly suitable for teams and individuals who need to efficiently manage visual assets.

This workflow enables the automatic import of product images from Google Drive into the Odoo system. It regularly scans a specified folder, filters and downloads images, converts them into the format required by Odoo, and updates the corresponding product records. After processing is complete, it automatically archives the processed images and sends notifications, ensuring transparency and timeliness of information. This improves image management efficiency and reduces the burden of manual operations, making it suitable for e-commerce, retail, and manufacturing industry enterprises.

This workflow simplifies XML data processing by automatically parsing and converting predefined XML string data through a manual trigger function. Utilizing built-in XML nodes, it quickly transforms XML formatted data into an easily manageable structured format, reducing the technical barriers for data processing and improving work efficiency. It is suitable for automation engineers, business analysts, and any users who need to handle XML data, supporting automated business processes and system integration.

This workflow facilitates the reception of user-uploaded resume PDF files from Telegram, automatically extracting and structuring resume information, including personal details, educational background, and work experience. By utilizing the OpenAI GPT-4 Turbo model for precise analysis, it generates an aesthetically pleasing HTML format, which is ultimately converted into a high-quality PDF document returned to the user. This process not only enhances the efficiency of resume processing but also optimizes the user experience, making it suitable for various scenarios such as human resources departments, recruitment platforms, and personal career development management.

This workflow is designed to automatically monitor product prices on the Zalando e-commerce platform. It periodically fetches and parses product information to update the latest prices in Google Sheets and records price history. When the price falls below a user-defined alert value, the system automatically sends an email notification, helping users seize shopping opportunities in a timely manner, saving time and effort. It is suitable for e-commerce shoppers, operations personnel, and data analysts.

This workflow automatically parses Gmail email headers to extract and analyze the "Received" path, sender IP, and its reputation score, while checking the SPF, DKIM, and DMARC authentication statuses. By calling an IP reputation assessment API, it conducts an in-depth security evaluation of the email source and generates structured analysis results in JSON format, supporting Webhook integration. This process helps businesses quickly identify potential threat emails, enhance email security monitoring and compliance, and prevent phishing and spam attacks.

This workflow can automatically read the sitemap.xml file of a website and convert its XML data into JSON format, extracting all URL entries. Users can quickly filter the links that meet their criteria based on custom filtering conditions, such as links to documents ending with .pdf. This process significantly enhances the efficiency of sitemap data processing, allowing users to quickly access specific types of resources, making it suitable for various scenarios such as SEO optimization, content management, and data analysis.

This workflow automatically detects and summarizes the AI model information used by all workflows in the current instance. It extracts the model IDs and names associated with each node and exports the results to Google Sheets. Through batch processing, users can quickly understand the model invocation status in a multi-workflow environment, avoiding the tediousness of manual checks and enhancing project management transparency and operational efficiency. It is suitable for automation engineers, team managers, and data analysts.

This workflow integrates the OpenAI GPT-4 language model with the Notion database, providing an intelligent chat assistant that allows users to quickly query and retrieve information from the knowledge base using natural language. It supports keyword and tag filtering, dynamically updates information, and ensures the accuracy and relevance of responses. This system is suitable for scenarios such as enterprise knowledge management, customer support, document retrieval, and educational training, significantly enhancing the efficiency and quality of information access.

This workflow automatically retrieves attachments from tagged emails in Gmail, parses PDF invoices and payment documents, and uses an AI language model to intelligently analyze the email content to extract transaction details. Ultimately, it automatically writes structured transaction information such as date, merchant, and amount into Google Sheets, significantly enhancing the efficiency and accuracy of financial data organization, making it suitable for the financial management needs of businesses, individuals, and accountants.

This workflow utilizes the Leadfeeder API to automatically collect potential customer data within a specified date range and enhances company information through Clearbit. By applying multiple filtering criteria, it accurately filters out high-quality customer leads, which are then structured and saved to Google Sheets for efficient management and continuous updates. It is suitable for B2B sales and marketing teams, helping to quickly identify companies with purchase intent and improve sales conversion rates and data sharing efficiency.