This workflow integrates the OpenAI language model with a PostgreSQL database hosted on Supabase, providing an intelligent conversational assistant that allows users to easily interact with the database using natural language. The AI agent can generate and execute SQL queries, automatically retrieve database structures, and quickly obtain and analyze complex data, making it suitable for non-technical users. It lowers the barrier to database operations and enhances data access efficiency, widely applied in scenarios such as internal data queries, report generation, and decision support within enterprises.

This workflow engages in natural language conversations with customers through an AI language model, intelligently identifying and extracting information about dishes, quantities, and table numbers from orders. It automatically confirms order details and batch writes the structured order data into Google Sheets, helping restaurants achieve order automation and digital management, enhancing service efficiency, and reducing errors. It is particularly suitable for the busy periods in the food and beverage industry.

This workflow automatically scrapes publicly available content from WordPress websites and utilizes generative AI and vector databases to create an intelligent Q&A system. It converts article and page content into Markdown format and generates vector representations to support rapid semantic retrieval. Users can ask questions in real-time, and the system generates accurate answers by combining relevant content, enhancing the interactive experience of the website. This solution is suitable for businesses or personal websites that require intelligent customer service and knowledge management, ensuring that content is always up-to-date and efficiently serves visitors.

This workflow automatically retrieves meeting data from Google Calendar and uses the Gemini AI model for intelligent summarization. It ultimately sends the meeting summary to a designated Slack channel. This effectively addresses the cumbersome nature of traditional meeting summaries and the issue of information being scattered, helping team members quickly access key information and enhancing communication efficiency. It is particularly suitable for teams that need to track meetings daily or for professionals working in remote environments.

This workflow automates customer service processing by integrating online forms, WhatsApp Business Cloud, and Asana. When a customer submits an inquiry, the system automatically sends a confirmation message and generates a support ticket in Asana, helping the team follow up efficiently. This approach significantly enhances response speed and service quality, streamlining customer communication processes, and is suitable for the customer support needs of various types of businesses.

This workflow integrates form submission, email verification, customer relationship management, and email marketing platforms, achieving full-process automation from potential customer data collection to automatic creation of customer records. Its main features include real-time email validity checks, credit balance monitoring, and multi-channel notifications, ensuring data accuracy and enhancing marketing efficiency. It is suitable for marketing, sales, and customer service teams, optimizing customer data management and business response.

This workflow automatically analyzes and generates upgraded designs using AI technology by receiving the URL of T-shirt design prototype images, enhancing visual effects and artistic appeal. Users only need to provide the prototype link, and the system can efficiently generate high-quality new T-shirt designs, addressing the time-consuming and labor-intensive issues of traditional design. It is suitable for e-commerce platforms, designers, entrepreneurs, and others, significantly improving design efficiency, reducing costs, and providing greater creative potential.

This workflow automates the retrieval of contact data from two CRM systems, Pipedrive and HubSpot, using an intelligent deduplication and merging mechanism to ensure data uniqueness. The scheduled trigger feature allows for real-time data updates, preventing the creation of duplicate records and enhancing the efficiency and accuracy of customer information management. This helps sales and marketing teams better manage customer operations and make informed marketing decisions.

This workflow automatically guides users through a satisfaction survey for the DJI Mini 2 drone via a Telegram chatbot. It integrates Google Sheets to store the questionnaire and responses, uses Redis for state management, and implements conversation tracking. The integrated OpenAI GPT model can intelligently generate in-depth follow-up questions, enhancing the interactivity and depth of the survey. Users can flexibly control the questionnaire process, ensuring a smooth and efficient research experience, aimed at improving user engagement and data quality, helping businesses better understand customer feedback.

This workflow automatically retrieves real-time weather information for Berlin and sends personalized weather update notifications to users via the Pushcut push service every morning at 9 AM. Users do not need to manually check the weather, allowing them to stay informed about weather conditions in a timely manner, which facilitates better planning of daily activities. It is suitable for individual users, team managers, and smart home systems, enhancing convenience and intelligent management in daily life.

This workflow is manually triggered and utilizes the Cortex node to perform a security analysis on a specified URL, automatically invoking Abuse Finder 3.0 to detect potential risks. Based on the job ID from the preliminary analysis results, it further queries detailed job information, thereby creating a closed-loop security analysis process. It effectively addresses the need for users to quickly obtain security risk assessments and analysis results when dealing with suspicious URLs, enhancing the efficiency of security responses. This workflow is suitable for automated processing by cybersecurity analysts and IT security teams.

This workflow utilizes AI technology to automatically handle sales calls, extract product feedback and AI use case data, and store the information in a structured format in the Notion database. By employing intelligent judgment and data segmentation, it addresses the cumbersome nature of manual screening and ensures the stability of data retrieval. It supports sales teams, product managers, and marketing personnel in quickly obtaining customer feedback, optimizing product and market strategies, while also enhancing cross-departmental collaboration efficiency. In the future, it will be integrated with CRM systems to achieve automation in sales management.

This workflow intelligently and automatically assigns unassigned tasks that have been pending for more than 5 days by integrating JIRA, OpenAI, and the Supabase vector database. It utilizes AI technology to retrieve similar resolved issues, identify the best team members, and take into account the current task load, ensuring that tasks are assigned efficiently and accurately, while avoiding omissions and resource waste. It is suitable for agile development and project management, significantly reducing the manual allocation workload and enhancing team collaboration and management efficiency.

This workflow combines Confluence cloud documents with an AI chatbot. Users can ask questions through a chat interface, and the system automatically calls an API to retrieve relevant page content, utilizing the GPT-4 model for intelligent Q&A. It supports multi-turn conversation memory to ensure contextual coherence and can push results via Telegram, enhancing information retrieval efficiency. This facilitates internal knowledge management, technical document queries, and customer support, enabling fast and accurate information access.

This workflow integrates the APIs of Google Sheets, Twitter, and LinkedIn to automatically collect potential customers' social media activities and utilizes OpenAI GPT-4 to generate personalized email content. Its main function is to streamline the processes of social media analysis and email writing, achieving automated communication and enhancing the efficiency and accuracy of marketing and sales personnel. It is applicable in various scenarios such as lead generation, customer relationship management, and recruitment, helping businesses quickly improve customer outreach effectiveness and save time costs.

This workflow builds an intelligent chatbot that can recommend personalized health insurance plans based on users' personal information and needs. By utilizing natural language processing and conversation memory technology, along with database queries, users can efficiently obtain the insurance product information they require, enhancing service efficiency and user experience. It is suitable for online customer service and intelligent recommendation systems in insurance companies, helping users quickly answer health insurance-related questions and saving labor costs.

This workflow primarily implements the secure reception and processing of Webhook data from the Xero financial system. By verifying the legitimacy of the requests to ensure the authenticity of the data source, the received Webhook data is stored in a FileMaker database, and subsequent processing scripts are automatically invoked to execute the corresponding business logic. The entire process is fully automated, significantly enhancing the security and efficiency of data processing, making it suitable for automation needs in fields such as finance and auditing.

This workflow is an automated Pomodoro Technique assistant based on Telegram, designed to help users better manage their time and improve work efficiency. With timed reminders for 25 minutes of focused work followed by short breaks, combined with automatic data recording to Google Sheets, users can easily track their work status. It supports simple command control and independent sessions for multiple users, ensuring convenient operation. It is suitable for remote workers, students, and anyone looking to enhance their time management skills, effectively avoiding procrastination and chaos.

This workflow integrates OpenAI's GPT-4 and Dall-E 3 models to achieve automated interactions for intelligent dialogue and image generation on the Telegram platform. It supports context memory management to ensure continuity in conversations and can generate high-quality images based on user needs. This workflow is suitable for various scenarios, including customer service, education, and creative design, enhancing user experience and interaction efficiency while lowering the barriers to developing intelligent robots. It is an ideal choice for building modern chatbots.

This workflow automatically receives user-inputted keywords and utilizes the Ahrefs Keyword Tool API to extract and organize data such as search volume and competition index for the main keywords and their related keywords. It corrects the keywords using the Google Gemini language model to ensure data accuracy, ultimately generating a readable text report. This report helps SEO optimizers, digital marketing teams, and content creators quickly obtain comprehensive keyword analysis, enhancing decision-making efficiency and the scientific formulation of market strategies.

This workflow automatically retrieves documents from Google Drive, processes the content through chunking and vectorization, and stores the information in the Pinecone vector database. Users can query document content in real-time through a chat interface, utilizing OpenAI models for intelligent retrieval and natural language responses. It addresses the issues of low efficiency and inaccurate answers in traditional document retrieval, making it suitable for scenarios such as enterprise knowledge bases, technical document queries, and customer support, thereby enhancing information retrieval efficiency and user experience.

This workflow is designed to automate the collection and management of potential customer information. Triggered by a form, the system automatically collects business email addresses and uses Hunter.io to verify their validity; simultaneously, it integrates with Clearbit to obtain detailed customer information. All valid data is synchronized in real-time to Pipedrive, supporting the creation or updating of contact and organization information, ultimately generating sales leads. This process significantly enhances the efficiency of sales lead management, ensures data quality, reduces the burden of manual entry, and helps businesses achieve rapid response and precise marketing.

This workflow integrates various Gmail email operations, including email search, retrieval, reply, deletion, as well as management of email labels and drafts. It can automate the handling of a large volume of emails, quickly respond to customer requests, and enhance work efficiency. At the same time, users can flexibly manage email categorization and support intelligent interactions with AI agents, creating an efficient email management solution suitable for both individuals and teams.

This workflow automatically retrieves a random cocktail recipe at a scheduled time every day and pushes the recipe's image and preparation steps to a designated chat group via a Telegram bot. It provides cocktail enthusiasts and bar professionals with convenient drink inspiration, saves time on manually searching for recipes, improves the efficiency of acquiring new ideas, and enhances the interactive experience within the community.