Sure thing, let’s turn your medieval chronicle marathon into a sprint. First, digitize everything—scanned PDFs with OCR so you can search text in seconds. Then build a keyword index: pick the most telling nouns, names, dates, and run a quick grep across the corpus. If you want to push the envelope, feed the text into a basic NLP model to auto‑tag entities and topics; that’s like having a personal librarian who never sleeps. Parallelize the heavy lifting: run the indexing and tagging on multiple cores or a cloud VM, so you’re not stuck in single‑threaded doom. Finally, slice the data into time windows or geographic chunks and create small, reusable summaries for each slice. Keep the workflow piped—one step finishes, the next starts—no idle time. In short: OCR, keyword index, entity tagging, parallel run, chunked summaries. Speed up the search, speed up the analysis, and you’ll be back to actually reading the stuff instead of trawling it.