Intelligent Meeting Minutes and Automated Follow-up Workflow
This workflow automatically retrieves recordings and transcriptions of Google Meet meetings. It uses AI to intelligently analyze and extract key points and follow-up action plans from the meetings, and automatically executes related follow-up tasks, such as scheduling subsequent meetings and inviting participants. It addresses the issues of lengthy meeting content and missed manual follow-ups, enhancing meeting efficiency and the value of information utilization. It is suitable for business managers, project managers, and remote teams. Overall, it achieves efficient management and automated processing of meeting resources.
Tags
Workflow Name
Intelligent Meeting Minutes and Automated Follow-up Workflow
Key Features and Highlights
This workflow automatically retrieves meeting recordings and transcriptions from Google Meet, leverages OpenAI’s AI agents to summarize and extract key points from the meeting content, and autonomously identifies and executes post-meeting follow-up actions (such as scheduling subsequent meetings and inviting relevant participants). The entire process enables intelligent parsing and automated management of meeting content, significantly enhancing meeting efficiency and the value of information utilization.
Core Problems Addressed
- Overcomes the lack of built-in support in Google Meet’s transcription API by flexibly obtaining meeting recordings and transcription files via HTTP requests.
- Automatically analyzes lengthy meeting content to distill key takeaways, highlight participant contributions, and outline next-step action plans.
- Automates post-meeting tasks such as arranging follow-up meetings and inviting relevant personnel, preventing manual omissions and redundant communications.
- Enables flexible multi-task scheduling and scalability through workflow triggers and routing.
Application Scenarios
- Internal corporate meeting management, automatically generating meeting minutes and scheduling follow-up actions.
- Sales or customer service teams, quickly capturing key points from client meetings and automatically arranging callbacks or follow-ups.
- Remote team collaboration, improving online meeting content visibility and execution effectiveness.
- Educational and training session recordings for summary and review.
Main Process Steps
- Retrieve Calendar Event: Obtain the corresponding Google Meet meeting record based on the Google Calendar event ID.
- Obtain Meeting Recording: Use the Google Meet API to access the meeting’s recording and transcription file locations.
- Download Transcription File: Download the transcription content from Google Drive and automatically convert it into PDF format for subsequent processing.
- Extract Transcription Text: Extract text content from the PDF file.
- AI Intelligent Analysis: Utilize an OpenAI model-powered AI agent to summarize the meeting text, extract key information, list important remarks, and suggest follow-up steps.
- Automated Follow-up Execution: If the AI determines a follow-up meeting is needed, invoke the workflow to automatically create a Google Calendar event and add participants based on AI recommendations.
- Output Response: Return the details of the created meeting to confirm completion of the automation.
Involved Systems and Services
- Google Calendar: Retrieve meeting events and create or update schedules.
- Google Meet API: Access meeting recordings and transcription files.
- Google Drive: Store and download transcription files.
- OpenAI (LangChain Integration): Intelligent language model for meeting content analysis and automated decision-making.
- n8n Workflow Platform: Orchestrate and execute the entire automation process.
Target Users and Value
- Enterprise managers and team leaders: Quickly obtain meeting highlights and actionable follow-up plans.
- Project managers and coordinators: Automate meeting scheduling, reducing manual effort and communication overhead.
- Remote working teams: Enhance the quality and efficiency of online meetings, ensuring meeting outcomes are effectively implemented.
- Any organizations or individuals requiring efficient meeting management and automated follow-up.
By integrating multiple cloud services and AI technologies, this workflow achieves end-to-end automation—from meeting record retrieval and intelligent content analysis to automated follow-up execution—empowering users to efficiently manage meeting resources and boost productivity.
Chrome Extension Backend with AI
This workflow automatically analyzes stock or cryptocurrency charts uploaded by users by receiving requests from a Chrome extension, and generates easy-to-understand market trend interpretations using an AI model. It addresses the high entry barrier of traditional technical analysis for beginners, providing real-time, automated chart analysis to help users make quick investment decisions, enhancing analysis efficiency and accuracy. It is suitable for investors, advisors, and fintech developers.
Automate Content Generator for WordPress with DeepSeek R1
This workflow achieves automated content generation through the DeepSeek R1 model, combining creative prompts from Google Sheets to produce SEO-optimized articles and titles. It utilizes OpenAI's DALL-E 3 to generate high-quality blog cover images. The content is then automatically published as WordPress drafts, with the cover image set as the featured image, while simultaneously updating Google Sheets to create a content management feedback loop. This process significantly reduces content creation costs and enhances operational efficiency, making it ideal for blogs and content marketing teams that require bulk publishing of SEO articles.
Chatbot AI
This workflow integrates the principles of cognitive behavioral therapy to create an intelligent psychological counseling robot based on the Line platform. It can understand user text input in real time, providing emotional support and psychological guidance, addressing the issue of users struggling to obtain immediate assistance in mental health consultations. Through the Azure OpenAI language model, users can engage in intelligent conversations at any time, receiving professional guidance and enhancing the accessibility and efficiency of mental health services.
Auto WordPress Blog Generator (GPT + Postgres + WP Media)
This workflow combines the OpenAI GPT model with a PostgreSQL database to achieve the automatic generation and publishing of WordPress blog posts. It can generate original and structured article content, automatically selecting the least frequently used categories to avoid duplication, while also generating and uploading cover images to ensure visual appeal. The entire process is highly automated, allowing for scheduled updates without user intervention, significantly enhancing the efficiency and diversity of blog content production, making it suitable for bloggers and content creators.
AI Telegram Bot with Supabase Memory (AI Telegram Bot with Contextual Memory)
This workflow implements an intelligent Telegram chatbot that can engage in natural conversations through the OpenAI assistant and utilizes a Supabase database to store the contextual memory of user sessions. The bot can receive user messages, automatically generate replies, and track historical conversations, making interactions smoother. It is suitable for scenarios such as customer service auto-replies and virtual assistants, enhancing user experience and addressing the issue of traditional chatbots lacking contextual understanding.
Agentic Telegram AI Bot with LangChain Nodes and New Tools
This workflow creates an intelligent Telegram chatbot that integrates LangChain nodes, utilizing GPT-4o for natural language processing and multi-turn conversations. The bot can generate images using Dall-E-3 based on user requests and send them via Telegram, achieving seamless interaction between text and images. This solution enhances the intelligence and interactivity of the chatbot, making it suitable for various scenarios such as customer service, content creation, and educational tutoring, meeting users' needs for intelligent interaction and instant content generation.
Three-View Orthographic Projection to Dynamic Video Conversion (Unreleased)
This workflow can automatically convert static images of three-view orthographic projections (front view and side view) into dynamic rotating videos, enhancing visual presentation. By combining AI image generation technology with video generation interfaces, it can automatically generate multi-angle images and seamlessly synthesize them into dynamic videos, ensuring that the character's facial expressions remain unchanged. This process greatly simplifies the work of designers and animators, making it suitable for various scenarios such as game character design, animation production, and product demonstrations.
Multilingual Vocabulary Learning Assistance Automation
This workflow automates the process of helping users add new words from Google Sheets, automatically translating them into Chinese, generating pinyin and example sentences, and integrating relevant images. It consolidates all this information back into the spreadsheet. The core purpose is to enhance the efficiency of creating vocabulary flashcards, making it suitable for language learners, educators, and self-learners. It greatly simplifies the cumbersome material preparation process traditionally involved in language learning, making the learning experience more efficient and enjoyable.