LINE Assistant with Google Calendar and Gmail Integration

This workflow utilizes intelligent methods to automatically extract daily meeting data from Google Calendar and generate concise meeting summaries using Google Gemini AI. The generated summaries are sent in real-time to a designated Slack channel, ensuring that team members quickly receive the key points of the meetings. This process not only enhances the efficiency of organizing meeting content but also reduces the time cost of manual note-taking. It is suitable for business managers, project managers, and remote working teams, significantly improving information sharing and collaboration efficiency.

This workflow integrates AI analysis capabilities to automatically process and organize key information from sales calls, including competitor data, integration tool information, customer objections, and actual use cases. It intelligently stores this information in a Notion database. Through multiple conditional judgments and throttling mechanisms, it ensures data accuracy and the stability of API calls, helping sales and product teams quickly gain insights into customer feedback and market dynamics, thereby enhancing work efficiency and decision-making quality.

This workflow utilizes the Kling API to automatically generate 360-degree virtual fitting videos for clothing. Users only need to upload images of the model and the clothing, and set the parameters to quickly obtain dynamic display effects. It breaks through the limitations of traditional static images, providing a more realistic clothing wearing experience for e-commerce platforms, reducing return and exchange rates, and enhancing consumers' purchasing decision efficiency. It is suitable for various scenarios, including e-commerce, fashion brands, and content creators.

This workflow automatically analyzes the text transcription of meeting recordings to intelligently generate project tasks and sync them to Airtable. It also automatically sends email notifications to relevant clients and participants, and can create Google Meet invitations when necessary. By leveraging powerful language understanding capabilities, it deeply analyzes meeting content, improving task assignment and tracking efficiency. This addresses the traditional issue of poor information transfer after meetings, ensuring that each participant receives specific action items in a timely manner, thereby enhancing team collaboration and management transparency.

This workflow automatically extracts appointment information from Google Calendar, utilizes advanced natural language generation technology to create personalized voice reminders, and converts them into smooth audio files. Ultimately, the system automatically sends reminder emails with voice attachments to relevant participants, ensuring that important appointments are not forgotten and enhancing work efficiency and the quality of client communication. This process is applicable in various fields such as real estate, healthcare, and business, effectively automating appointment reminders.

This workflow implements real-time monitoring and automatic response functionality for new messages in Telegram groups or channels. By using the Google Perspective API, it conducts toxicity detection on message content. When inappropriate language exceeds a set threshold, the system automatically issues a warning as a bot, reminding users to communicate respectfully. This feature effectively reduces the burden on administrators, maintains a harmonious community environment, prevents the spread of malicious language, and enhances the quality of communication within the community.

This workflow builds an intelligent chatbot that integrates advanced natural language processing and image generation technologies, providing a high-quality conversational experience on the Telegram platform. It supports natural language interactions based on the OpenAI GPT-4o model, features contextual memory capabilities, and can quickly respond to users' image requests by generating corresponding images using Dall-E-3. This enables multimodal interaction between text and images, making it suitable for various fields such as customer service, education, and entertainment.

This workflow constructs an intelligent voice chat system capable of converting voice input into text, managing contextual memory, generating intelligent responses, and producing natural voice output. By integrating efficient AI models, the user's voice content is accurately recognized while retaining the context of the conversation, allowing for the generation of personalized replies. This provides a smooth voice interaction experience, suitable for scenarios such as smart assistants, customer service, and online education, enhancing user experience and service efficiency.