Use Cases

Mantis AI can be applied to a wide range of scenarios where audio processing is needed. This section provides detailed examples of how to use Mantis AI to solve real-world problems.

Common Applications

Business Applications

• Meeting Transcription and Analysis: Automatically transcribe, summarize, and extract action items from meeting recordings.
• Customer Service Analysis: Process customer calls to identify common issues, sentiment, and improvement opportunities.
• Sales Call Analysis: Extract insights from sales calls to improve conversion rates and identify successful patterns.

Content Creation

• Podcast Processing: Transcribe and summarize podcast episodes for show notes, SEO, and content repurposing.
• Video Content: Process YouTube videos and other video content for transcription, summarization, and analysis.
• Lecture Processing: Convert educational content into searchable, summarized text for easier studying.

Research and Education

• Interview Analysis: Process research interviews to identify themes, patterns, and key insights.
• Focus Group Processing: Analyze focus group recordings to extract valuable feedback and insights.
• Educational Content: Create study materials from lecture recordings and educational videos.

Platform Integrations

• Slack Integration: Automatically process audio files shared in Slack channels.
• Google Drive Integration: Process audio files stored in Google Drive and create searchable documents.
• Microsoft Teams Integration: Automatically process Teams meeting recordings and distribute insights.
• Zoom Integration: Process Zoom meeting recordings for transcription and analysis.

Getting Started with Use Cases

Each use case includes:

1. A detailed explanation of the problem being solved
2. Step-by-step code examples
3. Tips for customizing the solution for your specific needs
4. Common challenges and how to overcome them

Choose a use case from the list above to get started, or continue reading for general best practices when applying Mantis AI to your specific needs.

Best Practices

When applying Mantis AI to your own use cases, consider these best practices:

Crafting Effective Extraction Prompts

The quality of your extraction results depends heavily on the prompts you provide. Here are some tips:

• Be specific: Clearly define what information you want to extract
• Provide context: Include relevant background information in your prompt
• Use examples: For complex extractions, include examples of the desired output format
• Break down complex tasks: For multi-part extractions, consider making multiple calls with focused prompts

Processing Large Audio Files

For long audio files (over 30 minutes), consider:

• Breaking the file into smaller segments for processing
• Using a more focused approach with extraction to target specific information
• Implementing progress tracking for better user experience

Handling Multiple Files

When processing multiple files:

• Use asynchronous processing when possible
• Implement error handling to continue processing even if some files fail
• Consider batching files for more efficient processing

Integration Best Practices

When integrating Mantis AI with other platforms:

• Authentication: Use secure methods for storing and accessing API keys
• Error Handling: Implement robust error handling for API failures
• Rate Limiting: Respect API rate limits for both Mantis AI and integrated platforms
• Asynchronous Processing: Use asynchronous processing for better user experience
• Feedback Loops: Provide status updates during processing