This workflow automatically scrapes discount information from the MediaMarkt website in Spain and generates personalized discount recommendation emails based on the product categories selected by users. Through intelligent categorization and content analysis, it ensures that the discount details are accurate and easy to read, sending them to users in real-time. This system not only saves time on manual searches but also enhances the relevance and practicality of the information, helping consumers receive timely updates on discounts of interest and improving their shopping experience.

YogiAI is an automated tool designed for yoga enthusiasts that randomly selects exercises from a yoga pose database at scheduled times each day. It utilizes artificial intelligence to generate friendly practice texts and pushes them to users via Line, simplifying the preparation process for daily practice content. It enhances the user experience in a smart and personalized way, helping users develop a regular yoga practice habit while increasing the interactivity and diversity of the content.

This workflow automatically synchronizes tasks with specific tags from Todoist to a Notion database. It periodically retrieves tasks through scheduled triggers, creates corresponding Notion pages, and updates Todoist task tags to achieve bidirectional management. Users can centrally manage key tasks, reduce manual operations, avoid information omissions, and enhance the uniformity and visualization of task management. This is suitable for individuals or teams that use both tools simultaneously.

This workflow builds an efficient Qdrant MCP server capable of flexibly handling customer review data. It supports insertion, searching, and comparison functions of a vector database, while also integrating advanced APIs such as grouped search and personalized recommendations. By utilizing OpenAI's text embedding technology, the workflow achieves intelligent vectorization of text, enhancing the accuracy of search and recommendations. It is suitable for various scenarios, including customer review analysis, market competition comparison, and personalized recommendations.

This workflow is designed to help B2B sales teams obtain high-value lead information in real time. It automatically fetches newly created company data from HubSpot every 5 minutes, filters clients with annual revenues exceeding $5 million, and instantly notifies sales representatives via Slack. This automation process significantly enhances the sales team's response speed and follow-up efficiency, optimizes resource allocation, ensures that high-quality leads are not overlooked, and helps improve the conversion rate. It is suitable for businesses looking to enhance their sales management efficiency.

This workflow automatically downloads two remote PDF files, merges them into one file using an API, and finally saves the merged result locally. The entire process requires no manual intervention, making it suitable for scenarios that require batch or scheduled document processing. It significantly improves efficiency, simplifies the cumbersome steps of traditional manual merging, and helps businesses and individuals efficiently manage and archive electronic documents.

This workflow is designed to automate the process of reading personnel information from Google Sheets, extracting the corresponding LinkedIn profile links through an intelligent search engine, and finally updating the results back to Google Sheets. This process effectively addresses the inefficiencies and errors associated with manually searching for LinkedIn profiles, making it suitable for fields such as recruitment, sales, and marketing. It helps teams quickly obtain and complete social information, thereby enhancing work efficiency and data accuracy.

This workflow automates the process of downloading files from web requests, uploading them to a specified Amazon S3 bucket, and retrieving a list of all files within that bucket. By streamlining file upload and management operations, users can efficiently handle files, reduce manual intervention and error rates. It is suitable for scenarios such as cloud storage management, regular file synchronization, and real-time monitoring of storage content, thereby enhancing enterprise work efficiency.

This workflow automatically monitors active ticket comments in the Linear project management tool in real-time, utilizing AI sentiment analysis technology to identify emotional states and update the results in the Airtable database. When the sentiment shifts from non-negative to negative, the system automatically sends a notification via Slack to alert the team to potential issues. This process is highly automated, significantly enhancing the response speed and quality of customer support and project management, effectively preventing issues from worsening.

This workflow implements an intelligent connection between Zendesk tickets and the Pipedrive customer management system. It automatically matches new tickets to the corresponding Pipedrive contacts based on the requester's email and assigns them to the personnel responsible for that contact. It eliminates the silos between tickets and customer data, quickly locates contacts, and ensures the accuracy and timeliness of ticket assignments. Additionally, it adds notes when a contact is not found, facilitating follow-up, thereby enhancing the collaboration efficiency of customer service and sales teams.

This workflow integrates AI intelligent dialogue with Google Sheets data access, allowing users to quickly query customer information using natural language, thereby enhancing data retrieval efficiency. It intelligently interprets user questions and automatically invokes the corresponding tools to obtain the required data, avoiding the cumbersome traditional manual search process. It is suitable for scenarios such as customer service, sales, and data analysis, helping users easily access and analyze information in Google Sheets, thereby improving work efficiency and the value of data utilization.

This workflow can monitor a designated Google Drive folder in real-time and automatically send email notifications to relevant personnel when new files are created. Through this automation feature, team members can be informed of file updates immediately, avoiding the inefficiencies and omissions of manual checks, thereby enhancing collaborative efficiency. It is suitable for teams and enterprises that need to track file changes promptly, ensuring accurate and timely information delivery, especially in industries sensitive to document changes, such as legal and financial sectors.

This workflow is designed to accelerate the recruitment process by automating the handling of resumes. It downloads resumes from a specified link, extracts the text, and uses advanced AI models to intelligently match and score candidates against job descriptions. The workflow not only provides a percentage of the match but also offers a summary of the candidate's strengths and weaknesses along with hiring recommendations, helping recruiters quickly identify suitable candidates and enhance recruitment efficiency and decision-making accuracy. It is suitable for recruitment agencies and corporate HR teams, significantly reducing the time and cost of manual screening.

This workflow is designed to automate the onboarding process for new clients. It receives new client data in real-time via Webhook, integrates with HubSpot CRM to obtain client information, utilizes AI to intelligently generate personalized welcome emails, and automatically schedules welcome phone calls. It supports comprehensive calendar management to ensure efficient meeting arrangements while dynamically assigning client managers to enhance client management efficiency. This process significantly reduces manual operations, optimizes the client experience, and is suitable for SaaS and service-oriented businesses, promoting cross-department collaboration and smooth data flow.

This workflow implements the automated fine-tuning of OpenAI models. Users can download training data from Google Drive and upload it to OpenAI for training. Through API calls, customized models are created, supporting manual triggering of testing processes to achieve intelligent question-and-answer interactions. The entire process simplifies cumbersome operations, significantly enhances fine-tuning efficiency, and helps businesses and individuals quickly obtain AI assistants that meet specific needs. It is widely applicable in scenarios such as travel assistants and customer service robots.

This workflow automatically syncs the meeting status from Google Calendar to the Slack user status and intelligently controls the Philips Hue lighting system to reflect team members' availability in real time. By utilizing the color coding of calendar events, it flexibly adjusts Slack statuses and lighting modes to enhance communication efficiency in the office. It is suitable for remote and hybrid work scenarios, helping to optimize resource usage and reduce distractions, while also improving personal time management and creating a more intelligent work environment.

This workflow allows users to quickly obtain a list of synonyms for German words through manual triggering, greatly enhancing the efficiency of synonym searches. Users simply need to input a German word, and the system will automatically call the synonym query service to return relevant synonyms. This feature is particularly suitable for German learners, translators, and content creators, helping them enrich their expressions, improve their writing skills, and enhance their language learning efficiency.

This workflow is capable of automatically listening for tag push events in a specified GitLab repository and determining whether it is a release version. Once confirmed, it will automatically call the API of the document management system to generate and publish the release documentation corresponding to that version, including the version name, description, and detailed links. This automated approach effectively reduces the cumbersome process of manually writing release notes, ensuring timely, accurate, and standardized recording of release information, thereby enhancing the team's work efficiency and the quality of document management.

This workflow implements AI-based automated image editing. Users can upload or select images via a web page, draw local masks, and input text prompts, which then call the intelligent fill API for image content generation. The integrated canvas editing library and comparison slider component allow users to intuitively compare the original image with the generated image. The operation is simple and the effects are evident, greatly enhancing image editing efficiency and making it suitable for various scenarios such as e-commerce, graphic design, and advertising.

This workflow provides an instant weather inquiry service through Slack. Users simply need to send a request containing the location name, and the system will automatically retrieve the latitude and longitude of that location and call the meteorological bureau's API to obtain detailed weather information. Ultimately, the formatted weather forecast will be pushed to the designated Slack channel. This automated process greatly enhances the efficiency of the team in obtaining weather information and is suitable for internal corporate communication, customer support, and personal daily activity planning, saving time on switching applications.

This workflow is primarily used to automatically verify the mailing addresses of newly added contacts in Keap CRM, ensuring the validity and accuracy of the addresses. By calling Lob's address verification API, the system can automatically determine whether the address is deliverable and mark it accordingly in Keap for subsequent processing. This process not only increases the success rate of mail deliveries and reduces resource waste caused by address issues, but also enhances data quality and work efficiency, making it suitable for sales, marketing, and customer service teams.

This workflow automatically retrieves the preparation steps for random cocktails and translates them into French, enhancing the efficiency of obtaining and sharing cocktail recipes. By calling relevant APIs, users can quickly access multilingual beverage preparation tutorials, making it easier for users from different language backgrounds to understand and use them. It is suitable for professionals in the food and beverage industry, cocktail enthusiasts, and educators, helping them easily master the techniques for making various cocktails.

This workflow is designed to automatically create delivery tasks in the Onfleet system when Shopify orders are shipped, streamlining the process from order processing to delivery task generation. By seamlessly connecting the two platforms, it significantly enhances logistics delivery efficiency, reduces delays and errors caused by manual operations, and ensures timely and accurate deliveries. It is particularly suitable for e-commerce operations teams and logistics dispatch personnel.

This workflow combines artificial intelligence with instant messaging tools to achieve intelligent automated responses for IT inquiries. It can receive IT-related questions posed by employees on Slack in real time, automatically retrieve information from the Confluence knowledge base, generate accurate answers, and promptly respond to users. This significantly enhances IT support efficiency, reduces manual intervention, and improves the employee inquiry experience. Through contextual memory and multi-user conversation management, the system effectively addresses the issues of dispersed information queries and repetitive work, helping enterprises create an efficient digital office environment.