Prompt library

29 prompts that beat “summarize”

Every prompt is original, tested, and labeled with where it goes — a one-off chat message, the notebook's persistent chat settings, or the Audio Overview and slides prompt boxes.

All prompts

  • Build a topic index first

    Run this before anything else on messy material — transcripts, mixed PDFs, scattered notes. The index becomes the map for every later question.

  • Explain one topic across all sources

    The follow-up to the index. “Explain” keeps structure and nuance that “summarize” throws away; going topic-by-topic forces full coverage.

  • Structured synthesis with rules

    The heavyweight. A research-grade answer with explicit rules, so the model can't paper over gaps or drift outside the sources.

  • Contradiction finder

    Sources rarely agree as much as a summary implies. This surfaces the disagreements a polite answer smooths over.

  • Assumption mapper

    Finds what the material takes for granted — the fastest way to spot where an argument is weakest.

  • The three-lens read

    One answer invites confirmation bias. Three deliberately different readings of the same question show you where the conclusion is actually solid.

  • Feynman explanation with a catch

    The simple explanation is the test; the list of what it had to leave out is where the learning happens.

  • Exam question generator

    Twenty questions across three difficulty tiers, with answers kept at the end so you can actually test yourself.

  • Glossary builder

    One pass that extracts every term a newcomer would stumble on. Save the output as a note — or as a new source.

  • Memory audit before the exam

    Write what you remember, then let the sources grade you. Harsher and more useful than re-reading the chapter.

  • The focused brief

    Kills the warm-up minute and the both-sides framing. The single most repeated community fix for Audio Overviews.

  • The skeptical-expert audience

    Makes the hosts engage the strongest objections instead of narrating agreement. Good for anything you have to defend later.

  • Target one listener

    The episode gets dramatically more useful when it's for one person in one situation instead of a general audience.

  • The quiz episode

    Turns the podcast into retrieval practice: one host quizzes the other on the most testable points.

  • Spec-sheet style

    Typography-only output: no stock illustrations, no icon noise. Works for technical and business material alike.

  • Timeline style

    For anything with a chronology — history material, project retrospectives, case timelines.

  • Comparison matrix style

    When the sources compare options, force the output into a grid instead of paragraphs-as-pictures.

  • Citation-forcing instruction

    Set once per notebook. Every answer arrives pre-wired for verification, and “not in the sources” replaces confident guessing.

  • Glossary as source #1

    Generate a one-page glossary of your project's acronyms and names, then add the output back as its own source. Cross-references stop misfiring.

  • Scope limiter

    Belt-and-braces with the source checkboxes: names the allowed sources inside the prompt so the answer can't quietly borrow from the rest.

  • Depth-over-speed instruction

    Nudges the model's defaults from quick-and-shallow to long-and-enumerated for the whole notebook.

  • Decision memo from transcripts

    The after-meeting artifact that meetings never produce themselves: decisions, owners, deadlines, contradictions.

  • Literature review matrix

    One row per paper, blanks left blank. The starting table for any lit review or state-of-the-art section.

  • Stakeholder translation

    Rewrites findings for a non-specialist without losing the citations you'll need when they ask “says who?”

  • The senior-researcher synthesis

    A full academic-review harness: rules, process and a seven-part output structure. The most complete research prompt the community has shared.

  • The insight meta-prompt (v5.1)

    Doesn't summarize — it red-teams your notes and designs five custom prompts to expose blind spots. The author runs it in Gemini with the notebook attached; it also works pasted into NotebookLM chat.

  • Neural triangulation

    Three lenses on the same question — analytical, creative, skeptical — to break confirmation bias before an important decision.

  • The patience instruction

    One line in the notebook's custom settings that reliably makes answers longer, deeper and more carefully reasoned.

  • Turn the notebook into a prompt generator

    Fill a notebook with prompt-engineering material first, then use this to have it write high-quality prompts for any goal.

Square brackets mark the parts you replace. Open a category for the full prompt text, context and copy-ready code blocks.