This workflow implements the automated screening and evaluation of candidate resumes by converting resumes in PDF format into images. It utilizes a multimodal vision-language model to intelligently analyze the content and determine whether the applicants meet the job requirements. At the same time, the system effectively prevents potential hidden cues in the resumes, enhancing the fairness and intelligence of the recruitment process. It is suitable for corporate hiring and human resource management, ensuring more precise screening and compliance.

This workflow is designed to automatically manage duplicate files in Google Drive by regularly monitoring specified folders to automatically detect and handle duplicates. Users can choose to keep either the most recent or the earliest uploaded file and decide how to handle duplicate files (move to trash or rename). At the same time, the system will automatically exclude Google Apps format files to ensure efficient cleaning of actual binary files, reduce storage space waste, lower the risk of accidental deletion, and enhance the convenience of file management.

This workflow automatically retrieves all order data by calling Squarespace's Commerce API and accurately synchronizes it to Google Sheets. Users can set filtering criteria such as query time range and order status to achieve personalized data synchronization, supporting both manual triggers and scheduled tasks for real-time order information updates. This process simplifies the order data export procedure, prevents data omissions, and enhances the data management efficiency of the e-commerce operations team, facilitating subsequent analysis and decision-making.

This workflow utilizes OpenAI's image generation and editing API to automatically generate high-definition images based on text descriptions and perform intelligent edits, such as adding elements and modifying details. Users can easily convert Base64 formatted image data into downloadable PNG files, enabling a fully automated process from image generation to editing. This solution significantly lowers the design barrier and enhances efficiency, making it suitable for users in marketing, design, and content creation fields.

This workflow combines AI language models with the Open-Meteo weather forecast API to provide intelligent weather inquiry and forecasting services. Users can simply enter the city name and their requirements through a chat interface, and the AI will automatically obtain the geographic coordinates and retrieve weather information, generating accurate weather forecast responses. This process significantly simplifies the traditional weather inquiry operations, enhances interaction efficiency, and is suitable for various scenarios such as smart customer service, travel planning, and education and training, meeting users' needs for real-time weather information.

This workflow implements automated visual regression testing of web pages through an AI visual model, automatically generating and comparing web page screenshots to accurately identify changes in content, layout, and color. It integrates web screenshot services and cloud storage to ensure efficient screenshot management. It can promptly detect visual anomalies on web pages, generate structured change reports, and create tasks to help teams quickly locate issues, thereby enhancing product quality. It is suitable for development, testing, and operations teams in continuous integration and delivery processes.

This workflow provides the sales team with intelligent reminders and an appointment assistant. It automatically monitors recent sales meetings and determines whether follow-up emails have been sent. If not, the system intelligently generates available meeting times and sends an email reminder to the user for confirmation. Based on the user's response, the AI agent can automatically schedule or cancel the meeting, ensuring flexibility and human-machine collaboration, enhancing work efficiency and user experience, and effectively reducing the risk of customer attrition.

This workflow listens in real-time for the "Create Invoice" event in Invoice Ninja through a Webhook, automatically triggering subsequent processing steps to help businesses achieve automated invoice management. It addresses the delays and errors associated with traditional manual operations, ensuring that invoice information is processed promptly, thereby enhancing the efficiency and accuracy of financial processes. It is suitable for finance teams and business operations managers, assisting small and medium-sized enterprises as well as financial service providers in improving their digital management capabilities.

This workflow automates the generation of webpage screenshots and compares them with an AI visual model to achieve visual regression testing for websites. It manages the list of URLs through Google Sheets, uses Apify to generate baseline and latest screenshots, stores them in Google Drive, and intelligently detects visual differences using the Google Gemini model. Ultimately, it automatically summarizes the detection results and generates Linear task reports, significantly enhancing the efficiency of website quality monitoring. This helps development and testing teams quickly identify abnormal changes on webpages, ensuring website stability and user experience.

This workflow automates the collection and reporting of Google Analytics data, covering dimensions such as website page engagement, search performance, and country visit data. By comparing this week's data with last week's, users can quickly gain insights into traffic changes and user behavior trends, enhancing the efficiency of data-driven decision-making. The final report is sent in a formatted HTML email, making it concise and intuitive, easy to share and archive, and suitable for users such as marketing teams, data analysts, and corporate management.

This workflow automatically communicates with job seekers through an AI chatbot, collecting contact information and preferred interview times. It queries the interviewer's Google Calendar in real-time to intelligently match available 30-minute interview slots. It avoids scheduling conflicts, reduces manual communication costs, quickly arranges interviews, and sends confirmation messages, thereby enhancing the user experience. It is suitable for human resources departments, recruitment teams, and any scenario that requires automated meeting scheduling.

This workflow utilizes AI technology to automate SEO keyword research, enabling the rapid generation of structured keyword strategies and content planning reports. By integrating OpenAI language models and data interfaces, users can perform keyword expansion, competitor analysis, and data-driven content planning, significantly enhancing research efficiency and accuracy. It is particularly suitable for digital marketing teams, content creators, and SEO consultants, providing comprehensive keyword research and analysis solutions for multilingual and multi-regional markets.

This workflow is capable of real-time monitoring of the latest tweets containing specified keywords on Twitter and automatically pushing them to Mattermost channels, ensuring instant notifications of social media information. It effectively eliminates the time and errors associated with manual monitoring, enhancing the team's response speed and work efficiency regarding social dynamics. Additionally, the workflow includes a deduplication feature to ensure the accuracy of the notifications, making it suitable for various scenarios such as social media marketing, customer service feedback, and industry trend tracking.

This workflow automatically monitors new meeting records in the Notion database and intelligently pushes meeting summaries for the "Marketing" team to a designated channel in Mattermost. Through conditional judgments, it ensures that only relevant content is notified, thereby improving the accuracy and efficiency of information delivery. It addresses the challenge of team members accessing the latest meeting records, enhances communication transparency and response speed, and is suitable for businesses or teams that require real-time synchronization of meeting content.

This in-depth research workflow helps users efficiently conduct research on complex topics through automated searches and content scraping, combined with advanced language models. After the user inputs the research topic, the system generates multiple search queries and filters relevant information, supporting dynamic adjustments to the depth and breadth of the research. Ultimately, the gathered information is compiled into a detailed report and automatically uploaded to a cloud management platform, achieving systematic organization and sharing of materials, significantly enhancing research efficiency and quality.

This workflow enables convenient music control through Telegram. Users can directly send song names or descriptions in the chat, and the system will utilize intelligent parsing to identify the song information, search for it in Spotify, add it to the playlist, and ultimately control music playback. This process simplifies traditional operations, allowing users to quickly request or switch songs without opening the app, enhancing the music experience, especially for users in work, study, or remote scenarios.

This workflow implements automatic synchronization between Microsoft Entra and the Zammad ticketing system users. By calling the Microsoft Graph API, it retrieves information about Entra user groups and their members, and compares it with user data in Zammad to complete the creation of new users, update information, and deactivate users who have been removed. This process effectively addresses the data inconsistency issue between identity management and customer service tools, reduces the burden of manual maintenance, ensures that user information is accurate and up-to-date in real time, and enhances the efficiency of customer service.

This workflow receives POST Webhook requests in real-time from the Retell voice agent, allowing for flexible orchestration of business processes and supporting features such as automatic confirmations for the hotel and catering industries. The booking information entered by users can be extracted and used to generate dynamic responses, enabling seamless integration with external systems and enhancing the automation service level of the voice bot. The workflow also provides detailed annotations and operational guidance, facilitating quick onboarding and personalized expansion to meet various voice interaction scenario needs.

This workflow can automatically retrieve data from Phantombuster and organize key information such as names, emails, and companies before storing it in an Airtable database. Users only need to manually trigger the execution, which simplifies the data extraction and storage process, enhancing the automation and efficiency of data management. It addresses the cumbersome nature of traditional manual data organization and uploading, improving data accuracy and making it suitable for various scenarios such as market research and recruitment, helping teams efficiently manage external data.

This workflow integrates a time management platform with communication tools, utilizing an intelligent chat model to provide users with convenient time log management services. Users can easily create, query, update, and delete time entries in Slack using natural language, while receiving smart operational guidance to ensure accurate record-keeping. The system simplifies management processes and lowers the usage threshold, making it suitable for remote workers and teams that need to efficiently track their time.

This workflow is a dynamic document management system based on Docsify, capable of automatically generating, viewing, editing, and saving workflow documents. It supports the loading and editing of documents in Markdown format, utilizes GPT-4 to generate descriptions and configuration documents, and uses Mermaid.js to create flowcharts, providing real-time preview functionality. Additionally, it receives various requests through Webhooks, streamlining the document management process, making it suitable for teams that require efficient management and maintenance of workflow documents.

This workflow automatically identifies invoices and receipts in a specified folder on Google Drive, supporting PDF, PNG, and JPG formats. It parses the recognized data into JSON format and stores it in Google Sheets for unified management. Utilizing OCR technology, it achieves efficient and accurate data extraction, addressing the cumbersome and error-prone issues of manual processing. This enhances financial and operational efficiency, making it suitable for business financial automation and personal expense organization, helping users easily manage various receipts and invoices.

This workflow automatically captures the creation or update events of new contacts in HubSpot and utilizes the Clearbit service to enrich contact information, including city, job title, and company name. It addresses the issue of incomplete contact profiles in traditional customer relationship management, enhancing the accuracy and completeness of data. This helps sales and marketing teams achieve precise customer segmentation and personalized marketing, making it suitable for business teams that need to maintain high-quality customer information.

This workflow collects users' content requirements through a form, automatically invokes AI to generate an article outline and detailed content, and optimizes the text structure segment by segment, ultimately compiling it into a complete article. The generated content and outline are automatically saved to the cloud and the management spreadsheet is updated for easy tracking and management. This process is efficient and structured, significantly enhancing the level of automation in content creation, making it suitable for various scenarios that require rapid generation of high-quality text, such as content marketing, self-media operations, and educational training.