Workflow Title Extraction

Target Audience

• Business Professionals: Those who attend meetings and need accurate transcriptions for documentation.
• Project Managers: Individuals who require detailed records of discussions to track project progress and decisions.
• Researchers: Academics needing to capture and analyze discussions for studies or reports.
• Developers: Tech-savvy users looking to integrate AI-powered transcription into their applications.
• Teams Using Remote Communication Tools: Organizations that rely on platforms like Zoom or Google Meet for meetings and discussions.

Problem Solved

This workflow automates the transcription of meetings, reducing the manual effort required to capture discussions accurately. It addresses the following issues:

• Time Consumption: Manually transcribing meetings is time-consuming and often leads to missed details.
• Inaccuracy: Human errors can lead to inaccuracies in capturing key points and decisions made during discussions.
• Accessibility: Transcriptions are stored in a structured format for easy retrieval, ensuring important information is readily available for future reference.

Workflow Steps

1. Webhook Trigger: The workflow starts when a POST request is received at the specified webhook URL, initiating the transcription process.
2. Insert Transcription Part: Updates the PostgreSQL database with the latest transcription data, ensuring it captures the most recent dialogue.
3. OpenAI Integration: Utilizes OpenAI to generate insights or summaries based on the transcription, enhancing the value of the captured data.
4. Conditional Logic: Checks for specific keywords (e.g., 'Jimmy') in the transcription to trigger additional actions or responses from the AI assistant.
5. Create Data Record: Stores the OpenAI thread and recall bot IDs along with the meeting URL in the database for future reference.
6. Create Notes: Allows users to create notes based on the transcription, facilitating better record-keeping and follow-ups.