AI Analysis — Deep Dive
Reading is a bottleneck. RAG turns the library into a queryable colleague.
Most knowledge work is reading. Reports, research, contracts, transcripts, course material. NotebookLM and custom RAG setups let you upload that mountain once — and then ask questions, generate summaries, build study guides and even create podcast-style audio briefings on demand.
Onboarding stops requiring weeks of reading. Strategy decisions can cite source paragraphs. Compliance reviews go from hours to minutes. The library stops being a graveyard and starts being infrastructure.
A working setup (NotebookLM workspace or custom RAG), a curated source corpus, 5–10 prompt templates for your highest-value questions, and a habit of feeding the corpus monthly. Otherwise it dies in 90 days.