1. Pilot scope: 5 CIB + 4 battalions, Sept–Oct 44 (~10–12 PDFs)
2. Write 30–50 evaluation questions and answer them by hand from the source documents — this is your ground truth
3. omOCR the pilot corpus
4. Human-verify the OCR — full review on this set, since it's also benchmark data
5. Design the inventory schema (page-range based, with document-level granularity where pages are uniform)
6. Build the inventory using LLM-assisted prompts, refined against your hand-built inventories of CH/5CIB/BW Sept 44
7. Design and test chunking strategy — chunk size, metadata attachment, special handling for tables/orders
8. RAG-chunk and embed
9. Run evaluation questions against the system, score, iterate
10. Once accuracy targets are hit on the pilot, scale to the full 1,200-doc corpus with automated OCR + inventory + chunking, with human spot-checks rather than full verification