Why it helps
Reading a dense report cover to cover is slow, and skimming misses the point. AI can compress hours of reading into a scannable summary you actually trust — as long as you keep the source and check the claims.
The workflow
- Pick the right tool for the source. For a single file or a set of PDFs you want to interrogate, upload them to NotebookLM — it grounds every answer in your documents and cites the page.
- For a fast, high-quality prose summary, paste or upload the text into Claude, which handles very long documents in one pass.
- Ask for structure, not a blob: request an executive summary, then key findings, then open questions.
- Cross-check anything surprising against the original. Use ChatGPT as a second opinion on the same text if a claim feels off.
- Save the summary plus a link to the source so future-you can verify.
Prompts to steal
- "Summarize this document in 150 words, then list the 5 most important findings as bullets with the page number for each."
- "What does this report claim that is NOT supported by data in the document?"
- "Explain section 3 to a smart colleague who hasn't read it."
Bottom line
Use NotebookLM when citations matter, Claude for long-form synthesis, and ChatGPT to sanity-check. The one rule: never ship a summary you haven't spot-checked against the source.
