"tools like NotebookLM only answer from your uploaded files. No making stuff up. No “convincingly wrong” summaries... isn’t about AI writing for you. It’s about AI helping you think through what you already collected... transforms research from a filing system into a conversation".
After a brief description of how it works and what it doesn't do - "It doesn’t browse the internet. It doesn’t draw from its training data" - the article sets out three useful workflows:
“You’re a research mentor. Identify 3 gaps in this literature: what’s missing methodologically, what’s missing theoretically, and what real-world contexts are ignored ... the difference between “here’s another article about X” and “here’s what everyone else missed.” "
“Find major contradictions. For each, give me the conflicting claims with citations, possible reasons for disagreement, and what evidence would settle it.”
"Upload your files → Click “Generate Audio Overview” → Get a 10–20 minute podcast where two AI hosts debate your material, ask clarifying questions, and explain dense concepts with metaphors"
Of the 6, of most interest:
There's also a "Perplexity + NotebookLM pipeline that feeds this system properly".
A good warning: "NotebookLM’s structure can become a cage.... auto-generated mind maps showing exactly how concepts connect... can constrain non-linear ideation. You start writing the article the AI “wants” instead of the one you envisioned.
The Fix: Use NotebookLM for synthesis — organizing, verifying, finding gaps. But do your thinking elsewhere first."
ALso:
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