@soc86 Absolutely, creating a reusable function to extract data from calls is a great way to streamline your voice application development. To achieve this, you would typically define a function that processes the audio or text of a call to identify and extract the desired information. This can involve using speech recognition, natural language processing, and pattern matching techniques. Here's a general outline of steps you might follow: 1. **Define the Data Points**: Determine what specific information you want to extract from the calls. This could be dates, names, numbers, specific phrases, etc. 2. **Choose a Processing Method**: Decide on the technology or method you'll use to extract the data. This could be a speech-to-text API, regular expressions, or a machine learning model. 3. **Implement the Function**: Write the function in your preferred programming language. Ensure it takes the call data as input and returns the structured data. 4. **Test and Refine**: Test the function with a variety of call data to ensure it accurately extracts the information. Refine the function as needed to improve accuracy and handle edge cases. 5. **Integrate**: Once the function is working well, integrate it into your voice application so it can be used to process calls in real-time or from stored data. 6. **Document**: Make sure to document the function's purpose, inputs, outputs, and usage examples so other developers can understand and use it in their projects. If you need more specific guidance or have particular parameters or data formats in mind, please provide more details, and I'd be happy to assist further!

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