PromptBase
🤖 GPT
Ever felt lost in a sea of words after a meeting? Say hello to Meeting Magic! 🎩✨ It's like a wizard that turns your long, confusing, and boring meeting transcripts (from Otter.ai, etc.) into short, fun notes for your team! 📝 It finds the important stuff, like decisions and tasks, and makes them look pretty and easy to understand. 🌈🎯
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Updated: Over 1 month ago
Prompt Details
Model
Chat - GPT-4 (gpt-4)
Token size
788 ($0.02360 / call)
Example input
[Meeting Transcript: Developer Meeting - Testing Whisper API]
Date: 07/05/2023
Location: San Fransisco (HQ)
Attendees:
John (Developer)
Sarah (Developer)
Michael (Product Manager)
Emily (Project Manager)
[Start of Meeting]
John: Good morning, everyone. Today, we're here to discuss and test the new Whisper API. Sarah and I have been working on its integration into our system.
Sarah: That's right, John. We've made good progress so far, and we're excited to demonstrate its capabilities today.
Michael: Excellent. Can you give us an overview of the Whisper API and its key features?
John: Absolutely. The Whisper API is a powerful natural language processing tool. It provides functionalities like sentiment analysis, entity recognition, and keyword extraction. It can help us gain valuable insights from text data and enhance our applications' intelligence.
Emily: That sounds promising. Are there any specific use cases or scenarios where we plan to leverage the Whisper API?
Sarah: Definitely. One potential use case is in our customer support system. By analyzing customer feedback and sentiment using Whisper, we can identify common issues, track customer satisfaction trends, and improve our support services.
John: Additionally, we can integrate the API into our content management system. It can automatically extract keywords and entities from articles and help with categorization, tagging, and search optimization.
Michael: Great. I see the potential value this API brings to our applications. Now, let's move on to testing. John and Sarah, can you walk us through the testing plan?
Sarah: Certainly. We have prepared a set of test cases that cover various aspects of the Whisper API. We'll test its accuracy, performance, and scalability using both synthetic and real-world data.
John: We'll also assess its compatibility with our existing systems and ensure a seamless integration.
Emily: That sounds comprehensive. How much time do you anticipate for the testing phase?
Sarah: Given the complexity of the API and the depth of testing required, we estimate it will take around two weeks to complete the testing phase.
Michael: Alright, let's proceed with the plan. John and Sarah, keep us updated on the progress and any challenges you encounter along the way.
[End of Meeting]
Example output
# Meeting Notes: Developer Meeting - Testing Whisper API
**Date:** 07/05/2023
**Location:** San Fransisco (HQ)
**Attendees:** John (Developer), Sarah (Developer), Michael (Product Manager), Emily (Project Manager)
## Key Points
1. **Whisper API Overview:** The Whisper API is a powerful natural language processing tool that provides functionalities like sentiment analysis, entity recognition, and keyword extraction. It can help gain valuable insights from text data and enhance application intelligence.
2. **Use Cases:** The Whisper API can be leveraged in various scenarios:
- **Customer Support System:** Analyzing customer feedback and sentiment to identify common issues, track customer satisfaction trends, and improve support services.
- **Content Management System:** Automatically extracting keywords and entities from articles to assist with categorization, tagging, and search optimization.
3. **Testing Plan:** A set of test cases has been prepared to cover various aspects of the Whisper API, including its accuracy, performance, scalability, and compatibility with existing systems. The testing phase is estimated to take around two weeks.
## Decisions
- The team will proceed with the testing plan for the Whisper API as outlined by John and Sarah.
## Action Items
- **John and Sarah:** Begin the testing phase for the Whisper API, keeping the team updated on progress and any challenges encountered.
## Important Discussions
- The team discussed the potential value the Whisper API brings to their applications, particularly in the areas of customer support and content management.
- The testing plan for the Whisper API was outlined, including the scope of testing and the estimated time required.