Image AI Workflow (Intelligent Image Generation and Editing Workflow)

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 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 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 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.

This workflow utilizes the KNN algorithm to achieve automatic classification of land types in satellite imagery. It converts images into vectors through the embedded API of Voyage AI, queries the Qdrant database to retrieve similar images, and employs a majority voting strategy to determine the classification. A mechanism for dynamically adjusting the number of neighbors has been designed to address tie situations in voting, ensuring the accuracy of the classification results, which achieve an overall accuracy rate of 93.24%. This approach is applicable in fields such as remote sensing analysis, urban planning, and agricultural monitoring, enhancing the automation and intelligence level of image classification.

This workflow automatically generates Arabic stories suitable for children, combining education and entertainment with lively and engaging content. It utilizes AI technology to create stories and translate them, while also generating illustrations and audio readings. All content is published on a Telegram channel at scheduled intervals, ensuring updates every 12 hours to enhance user engagement efficiency. It is suitable for educational institutions, language learners, and content creators, providing a rich array of multimedia story resources to promote the development of children's language skills and imagination.

This workflow is designed to provide intelligent meeting assistant services for busy professionals. It automatically detects upcoming meetings, extracts key information about participants and recent communication, and combines this with LinkedIn updates to generate concise meeting reminder notifications, which are promptly sent to WhatsApp. This process significantly enhances the efficiency of meeting preparation, ensuring that users quickly grasp the meeting context and improve communication effectiveness. It is suitable for corporate managers, sales personnel, and remote team members who frequently attend meetings.

This workflow automatically analyzes and classifies newly generated potential customer information through an AI intelligent agent, accurately identifying customer needs and intelligently matching relevant contacts. It automatically generates and sends professional email notifications. Its main functions include automatically screening valid potential customers, extracting key information, matching responsible personnel, and generating emails, significantly enhancing processing efficiency and the accuracy of information transmission. It optimizes the customer relationship management process, achieving full-process automation from potential customer generation to response.