Excellent article, Howe! Very practical. These are my 3 key takeaways:

1. Utilize Virtual Assistants: Employ virtual assistants from platforms like Upwork to handle initial information extraction, especially for relevant text selection and quantitative data. This approach ensures flexibility and reduces costs while maintaining accuracy.

2. Optimize Chunking: Implement chunking to break down large text data into manageable segments for better processing by language models. This method helps maintain context and improves information retrieval by focusing on smaller, more precise text segments.

3. Force JSON Output: Ensure that the output from language models is in a consistent, structured format like JSON. This consistency simplifies downstream processes, making data parsing and integration into applications more reliable and efficient.