Multi-source synthesis into a Video Overview
Workflowsयहाँ जाता है: चैट
A three-stage pipeline: synthesise everything in chat, save that answer as a note, then generate the video from the note alone. Generating straight from twenty sources gives you a wandering video; generating from one tight synthesis gives you a focused one, because the model is no longer choosing what matters while it narrates.
शेयर किया Guillaume Martin (notebooklm-prompts) — असली हकदार को क्रेडिट।
Produce a structured synthesis of all selected sources that will be used as the single source for a video overview. Structure it exactly like this: 1. The core claim — one paragraph a newcomer could repeat accurately 2. The three to five points that carry that claim, each with what supports it 3. Where the sources disagree, and what the disagreement turns on 4. What none of the sources establish, stated plainly as open questions 5. One concrete takeaway for someone who has to act on this Rules: - Cite as you go; every claim traces to a source - Prefer specifics — numbers, names, dates — over summary language - If a point rests on a single source, say so - No preamble and no closing summary; start at heading 1
इसे कैसे इस्तेमाल करें
- 1notebooklm.google.com पर अपनी नोटबुक खोलें।
- 2[ब्रैकेट में लिखे] हिस्सों को अपनी जानकारी से बदलें।
- 3प्रॉम्प्ट को चैट बॉक्स में पेस्ट करके भेजें।
स्क्वेयर ब्रैकेट्स उन हिस्सों को दिखाते हैं जिन्हें आपको अपने टॉपिक या सवाल से बदलना है।
और workflows प्रॉम्प्ट्स
- Triage your sources before you synthesiseStep one of any multi-source project. Run this before asking for a synthesis and it tells you which sources actually earn their place, which duplicate each other, and where the collection has a hole. Ten good sources beat fifty mediocre ones, and this is how you find out which ten you have.
- The prompt improvement cycleFor prompts you will run more than once. Instead of tweaking wording and hoping, this makes the notebook grade its own last answer against the sources, then rewrite the prompt that produced it. Three passes usually gets further than an afternoon of manual fiddling.
- From notebook to a finished deliverableThe last mile: you have read everything and now something has to leave the notebook. This asks for the deliverable and its evidence trail in one pass, so the draft arrives with the citations already attached instead of you rebuilding them afterwards.