Flow description
Purpose and benefits
AI Meeting Report Generator – Workflow Description
Overview
The AI Meeting Report Generator workflow is designed to automate the transformation of meeting attachments (such as audio or video files) into actionable written content. This includes generating detailed meeting minutes, follow-up emails, and engaging blog posts, all tailored from the context extracted from the original meeting materials. The process is highly scalable and eliminates repetitive manual work, making it ideal for organizations that want to streamline meeting documentation and communication.
Step-by-Step Flow
Welcome Message: When the chat session opens, the user is greeted with a friendly welcome message outlining the steps:
- Attach your meeting audio or video.
- Receive detailed meeting minutes.
- Get a ready-to-send follow-up email.
- Obtain a blog post summarizing the meeting.
File Upload: The user uploads a meeting attachment (audio, video, etc.) via a chat interface.
- File Content Extraction: The uploaded file is processed to extract its content. This step may involve transcription (for audio/video), OCR (for scanned docs), or direct text extraction (for text-based files).
3. Generating Outputs
For each type of output (meeting minutes, follow-up email, blog), the workflow follows a similar pattern:
A. Meeting Minutes
- Prompt Preparation: The extracted context is embedded into a prompt template instructing the AI to generate meeting minutes.
- AI Generation: A large language model (LLM) processes the prompt and generates a draft of meeting minutes.
- Formatting: Another prompt formats the output into a standardized section titled “Meeting Minutes”.
- Display: The result is sent to the chat output for the user to review or copy.
B. Follow-Up Email
- Prompt Preparation: The same context is used in a prompt instructing the AI to generate a follow-up email.
- AI Generation: The LLM creates a draft email.
- Formatting: The output is wrapped in a section titled “Followup Email”.
- Display: The generated email is displayed for the user.
C. Blog Post
- Prompt Preparation: The context is used in a prompt for the AI to create a blog post.
- AI Generation: The LLM generates the blog content.
- Formatting: The blog post is formatted under a “Blog” header.
- Display: The blog post is presented to the user.
The workflow structure ensures each content type is generated independently and in parallel, maximizing efficiency.
Workflow Structure
Step | Input | Processing | Output |
---|
User Onboarding | Chat opened | Welcome message widget | Greeting in chat |
File Upload | File attachment | File content extraction | Raw meeting content |
Meeting Minutes | Extracted context | AI prompt → LLM → Formatting prompt | Meeting minutes text |
Follow-Up Email | Extracted context | AI prompt → LLM → Formatting prompt | Follow-up email text |
Blog Post | Extracted context | AI prompt → LLM → Formatting prompt | Blog post text |
Note: All three outputs are displayed in the chat interface for immediate access and use.
Benefits & Use Cases
- Scalability: Handles any number of meetings without additional human effort.
- Consistency: Ensures all meeting documentation follows a standard, professional format.
- Speed: Instantly generates all deliverables after file upload.
- Versatility: Works with different file types (audio, video, documents).
- Automation: Reduces administrative overhead, freeing up time for high-value tasks.
- Useful For:
- Project managers and team leads automating meeting follow-ups.
- HR or operations teams needing standardized documentation.
- Content creators wishing to repurpose meeting discussions as blog posts.
Conclusion
The AI Meeting Report Generator is a powerful, automated toolchain for turning raw meeting files into structured, actionable, and shareable written assets. By streamlining these processes, it not only saves time but also ensures that critical meeting insights are captured, communicated, and repurposed effectively across the organization.