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AI Agent for Realtime Insights on Meetings

This workflow provides an intelligent meeting assistant that can join online meetings in real-time and automatically transcribe spoken content, ensuring accurate recording of important information. Through advanced transcription and language processing technologies, the system not only generates meeting minutes but also performs intelligent analysis and content summarization, supporting keyword detection to trigger dynamic interactions. Users can easily store and query the transcribed data, significantly enhancing the efficiency and accuracy of meeting records while reducing manual workload. It is suitable for various scenarios, including remote teams, corporate training, and research analysis.

Workflow Diagram
AI Agent for Realtime Insights on Meetings Workflow diagram

Workflow Name

AI Agent for Realtime Insights on Meetings

Key Features and Highlights

  • Joins online meetings in real-time (supports major platforms such as Google Meet and Zoom), automatically capturing and transcribing meeting audio.
  • Utilizes leading transcription APIs like AssemblyAI to deliver highly accurate real-time speech-to-text conversion.
  • Employs OpenAI language models for intelligent analysis and content summarization, automatically generating meeting minutes and key notes.
  • Detects keywords to trigger specific AI interactions, enabling dynamic responses and assistance.
  • Stores transcription data and analysis results in a structured manner for easy retrieval and review.

Core Problems Addressed

Traditional meeting recordings and manual transcription are time-consuming, labor-intensive, and prone to missing critical information. This workflow leverages automation and AI technologies to capture meeting content in real-time, intelligently organize it, and enable efficient search, significantly improving the accuracy of meeting records and overall productivity while reducing manual workload.

Use Cases

  • Remote teams requiring precise meeting minutes and quick reviews.
  • Corporate training sessions, client interviews, and other scenarios needing documentation of important discussions.
  • Situations where automated tasks or intelligent assistance are triggered based on meeting content.
  • Researchers or content creators needing structured analysis of voice data.

Main Workflow Steps

  1. Set Meeting Link and Parameters: Input the meeting URL via the “Scenario 1 Start - Edit Fields” node.
  2. Create Recall Bot: Use the Recall.ai API to create a bot that automatically joins the specified meeting and initiates real-time transcription.
  3. Create OpenAI Thread: Establish an OpenAI conversation thread for the current meeting to support subsequent AI interactions.
  4. Store Meeting Information: Save the bot ID, thread ID, meeting URL, and related data into the Supabase database.
  5. Receive Transcription Data: Capture real-time transcription segments from Recall.ai via Webhook and write them into the Postgres database.
  6. Keyword Detection: Analyze transcription content for specified keywords (e.g., “Jimmy”) to trigger further AI assistant processing.
  7. Invoke OpenAI Analysis: Use the latest transcription data to call the OpenAI assistant for text analysis, summarization, or note generation.
  8. Save Notes: Store AI-generated notes in the database, creating a structured record of the meeting.

Involved Systems and Services

  • Recall.ai: Real-time meeting transcription bot service.
  • AssemblyAI: Provider of speech-to-text API.
  • OpenAI: Intelligent language processing and analysis based on GPT models.
  • PostgreSQL: Database for storing meeting transcriptions and notes.
  • Supabase: Cloud database service managing meeting metadata.
  • n8n: Workflow automation and node orchestration platform enabling seamless integration of the entire process.
  • Webhook: HTTP callback interface for receiving real-time transcription data.

Target Users and Value Proposition

  • Enterprise managers and department heads seeking automated meeting records and intelligent meeting assistants.
  • Remote team members aiming to enhance communication efficiency and information transparency.
  • Product managers, project managers, and others who need to quickly organize meeting minutes and follow up on tasks.
  • AI enthusiasts and workflow automation developers looking for easy customization and secondary development.
  • Professionals desiring AI-assisted intelligent analysis and knowledge management of meeting content.

By integrating multiple advanced technologies, this workflow delivers an efficient and intelligent system for real-time meeting transcription and auxiliary analysis, significantly enhancing the value output and subsequent utilization of meetings.