wtf is ai-reads-books-page-by-page?

This project is a Python script that reads a PDF book one page at a time and uses AI to pull out the useful information as it goes. Instead of trying to summarize an entire book in one shot, it works through the pages methodically, extracting knowledge points from each page while keeping track of the context built up from earlier pages. As it works, the script builds a growing knowledge base and saves it to a JSON file, so you can stop partway through and resume later without losing progress. At intervals you choose, it can also produce a markdown summary of everything learned so far, plus a final summary once the whole book has been processed. It is set up to skip pages that are not useful for extraction, such as a table of contents or an index. Terminal output is color coded so it is easier to follow what the script is doing while it runs. Setup involves cloning the repository, installing the Python requirements, and placing your PDF file in the project folder. You then edit a few settings inside the script itself, such as the name of the PDF file and how many pages should pass between each interval summary, and run it from the command line. The script relies on the OpenAI API to analyze each page and generate the summaries, and lets you choose which models handle page analysis versus the final summarization step. There is also a test mode that limits how many pages are processed, useful for trying it out on a portion of a book before running it on the whole thing. Outputs are organized into separate folders for the raw knowledge base data, the generated summaries, and a copy of the source PDF. The author also links to a separate paid membership with extended project materials and walkthroughs, but the script itself is what is documented and usable directly from this repository.