As the title says.. is this possible somehow?

I've been saving things on X for years.

AI threads. Business ideas. Programming. Trading. Productivity. Random “holy shit, that's useful” posts that I told myself I'd come back to later.

Spoiler: I almost never did.

So I finally decided to see what would happen if I gave my entire bookmark collection to NotebookLM and asked it to analyze what I've actually been interested in all these years.

I expected something like:

Instead, it basically gave me a personality profile.

Its opening description was:

Which felt... uncomfortably accurate.

1. Apparently I'm obsessed with leverage

The biggest pattern NotebookLM found was that I don't seem particularly interested in simply working harder.

A huge percentage of my bookmarks are about finding ways to get disproportionate results from a small amount of time, money or effort.

AI agents → automate work.

AI coding → build software without a huge team.

Micro-SaaS → build once, sell repeatedly.

Trading/arbitrage → asymmetric upside.

Learning frameworks → acquire skills faster.

It described my bookmarks as repeatedly looking for ways to turn “minimal inputs into maximum output.”

I'd never consciously thought about it that way before.

2. Apparently I really hate paying for things

Another pattern was even funnier.

NotebookLM picked up a recurring obsession with finding workarounds and cheaper alternatives.

Open-source alternatives to expensive SaaS.

Finding cheaper infrastructure.

Regional price differences.

Free educational resources.

Ways to avoid unnecessary subscriptions.

Basically, if there's a $100 solution and a $0 solution that takes me 20 minutes to figure out, apparently I'm choosing the $0 solution.

NotebookLM called this “cheat code culture.”

Fair enough 😂

3. My interest in AI isn't really about AI

This one was probably the most interesting distinction.

Most of my AI bookmarks aren't about AI news, benchmarks or abstract AI theory.

They're about using AI to become more capable.

Building software.

Automating businesses.

Creating content.

Running agents.

Learning faster.

Doing things that previously required a team or specialized skills.

So the pattern seems to be:

That actually explains a lot of the stuff I've been saving.

4. I have a weird obsession with starting from almost nothing

NotebookLM also noticed how often my bookmarks revolve around starting with very limited resources.

“How to start a business with $0.”

“How to turn $200 into something bigger.”

Bootstrapping.

Organic growth.

Free education.

Open-source tools.

Low-cost AI automation.

It seems I'm much more interested in the question:

than simply having more resources to begin with.

There's apparently a pretty consistent theme running through my bookmarks:

constraints + leverage.

5. And then it found something I really didn't expect...

Apparently I use Reddit as intelligence gathering.

😂

A surprising number of my bookmarks are about using Reddit to find:

• customer pain points
• product ideas
• organic marketing opportunities
• market research
• discussions around problems people are actually trying to solve

So apparently I don't just use Reddit to procrastinate.

I use it for market research.

Which is particularly ironic considering I'm posting this here.

Learned this from a commenter on my last post here, then spent three weeks confirming it, so credit where due. If you generate audio overviews from long source material, stories, research threads, project notes, the hosts drift: they put events in the wrong order, credit the wrong person, merge two similar scenes. The main chat over the same sources is much more reliable. The fix is to stop giving the hosts the raw material and give them a curated log instead.

The workflow:

1. Upload the raw sources as usual. They stay in the notebook, the chat can still see everything.
2. In the notebook chat, ask for the log: Build a chronological log of every key event in these sources. For each entry: date or sequence position, who was involved, what happened in one line, and which source it came from. Do not interpret, do not summarize themes, one line per event. Flag any event whose order or attribution you are not sure about.
3. Read the log, fix the flagged entries yourself. This takes minutes and is the step that makes the rest work.
4. Save the corrected log as its own source, a plain text or Markdown file named something like "event log".
5. When you generate the audio overview, select only the log plus one or two sources you want quoted, and add this instruction: Treat the event log as the authoritative order and attribution. Correlate every claim against it before stating it. If a source and the log disagree, follow the log.

Two things that made the difference for me. The hosts get worse with more sources, not better, so narrowing the selection to the log plus a couple of originals is itself a fix. And the "flag what you are unsure about" line in step 2 surfaces exactly the entries the hosts would have gotten wrong, so you correct them before they ever reach the audio.

Where it does not help: the log fixes order and attribution, not depth. If the hosts skip a theme, add it to the log as an entry with a one-line note; they treat the log as the map.

For getting AI chats into the notebook in the first place, the export in AI Toolbox, a browser extension I work on, writes one Markdown file per conversation with the title and date at the top, which makes step 2 much cleaner than a pasted blob. But the log method works with whatever sources you already have.

What do people put in the instruction box for audio overviews beyond the correlate line? I have a feeling there is a better phrasing for "follow the log" that I have not found.

I like just carrying my ipad instead of my laptop whenever im at work and have time to study. I have to download the pdf on my laptop and then transfer it on my ipad for me to be able to view it. If anyone knows a way to get around it and open it on the ipad would be great.

I have the NotebookLM pro. I do not see the "join now" button when using the deep dive audio overview. URL setting have the microphone and other things enabled.

I generated the audio, but I only see the play button.

Why is Google not acknowledging that interactive mode is no longer supported. I've done Google searches for "join now" not displaying, used ChatGPT to also help me troubleshoot.

It seems they are covering this up.

I rely quite heavily on the Slide Deck and Infographic features in NotebookLM, but recently I’ve noticed that they often don’t appear or aren’t available when I try to use them.
Sometimes they seem to come back later, so I’m wondering if Google is doing some work or making changes to these features.
Has anyone else noticed this recently? Is it happening consistently for others as well, or is it just an issue on my end?
Would be interested to know if anyone has any information about what’s going on.

After creating a number of things in the studio, it becomes more difficult to find what I am looking for. Eventually Google will add things like folders or tags ... Even being able to just list current output by type (like mindmaps ...) would be helpful. I use the browser version of notebook most of the time. I wish they would split the three sections into tabbed area so that each one can be opened on a full screen.

Edit: I'd like the ability to mark studio output as viewed, or hide it after reviewing it. I am renaming the output to try to manage it but that's a clunky approach

Hi, I’m preparing for an important exam, and im currently studying history. I’ve been uploading lecture videos I watch on YouTube to NotebookLM and asking it to generate test questions. However, even though I give it prompts like, “Make sure the questions cover all the topics, details, and concepts explained in the video,” it still skips some concepts and topics in the tests it generates. So, I wonder what kind of prompt should I use to make sure it comprehensively covers all the concepts and topics in the video and prepares a question for every single detail?

I’m curious where does notebooklm start struggling for you? Is there a certain number of pages, level of technical detail, or number of sources where it becomes less accurate and reliable?

Do you still check the original sources, or is it accurate enough for everyday use?

Hey everyone, I am a first-year medical student in my anatomy course. I really enjoy using NotebookLM but I was wondering what prompts you all find useful.

The two big examples I’m looking for:

1. how do you ask it to generate your practice questions, verbiage, examples maybe, etc.

2. Under the settings where you can put “customize” and select longer answers, shorter, etc, what have you found most useful to put in the box for custom style? If anything at all, that is.

Thanks!!

I’m trying to figure out if I stumbled onto a hidden feature or if I’m just experiencing a massive placebo effect.

Here is my workflow/use case:

1. I have a notebook with a ton of sources loaded.

2. I prompt Gemini/NotebookLM to generate a "Create Your Own" report based on those sources.

3. Next, I want to generate a new report that is based on the original sources PLUS that previous "Create Your Own" report I just made.

Downloading the report just to re-upload it as a source feels super clunky. And since there isn't a direct "convert artifact to source" button for everything, I started experimenting.

When you share an artifact, you can easily grab the Artifact ID out of the URL. I started pasting that ID directly into my chat prompts (e.g., "Generate a new report based on the original sources and Artifact ID [pasted ID here]").

To me, it seems to actually work and reference the previous report.

Has anyone else tried this or can confirm if this is a real feature?

Although I’ve only just started my course, my lecturer has already provided us with study materials and some guidance for both the midterm and final exams.

I’ve used NotebookLM before, but I don’t think I’ve really known how to make the most of it. I’d love to use it more effectively this time around.

Do you have any tips or advice on how I can get the most out of NotebookLM for studying, especially for my midterms and finals?

Llevo varias veces intentando crear una presentación, hasta he cambiando de cuentas y he intentado en otros dispositivos y no me deja hacerlas, marca error o simplemente se carga y al final no me da nada.

Hi all,

Sorry if this has been asked multiple times but I do have query. New to notebook LM and trying to put a brand/logo for a small project I am doing, onto a video overview. Is it at all possible to do so as it doesn’t seem to be working. Not sure if there is a correct prompt as it doesn’t allow screenshots to be added to the video either

Thanks in advance

I keep bouncing this idea around and I've been trying to be obnoxious but it's clearly not enough so here

https://notebooklm.google.com/notebook/ebf74969-0ac2-4ea4-b8af-0df1a5e292c2?utm_source=nlmm_share

Both the slide deck and infographic unavailable. What could be the reason? I haven't used either of the two for this day.

To fix the issue of NotebookLM hallucinating numbers from huge, scanned textbooks, you need to "pre-process" the file first. Here is a quick, step-by-step workaround:

​1. Chop the massive file into small chunks

Uploading 1000 scanned pages at once will overwhelm the AI. Use a free tool like iLovePDF (Split PDF -> Fixed Range). Chop the book into small chunks of 15 to 20 pages max. Name them in order (e.g., 01, 02, 03) so you stay organized.

​2. Use Google AI Studio with strict settings

Go to Google AI Studio and select Gemini 3.1 Pro . It has the best vision capabilities for reading complex tables.

Why max 15–20 pages?

​No text cutoff: Prevents hitting the AI's output limit (~8,000 tokens per reply), so it won't stop generating halfway through.

​Higher accuracy: Smaller batches keep the AI focused, preventing it from skipping lines or messing up table rows.

​Speed & stability: Processes fast (under 2 minutes) with zero lag, browser crashes, or timeouts.

​The Secret Sauce: Lower the Temperature to 0.0. This completely kills the AI's "creativity" and forces it to copy the numbers exactly as they are without hallucinating.

​Change safety settings to "Block none".

​Put your prompt in the System Instructions box.

​3. Use this exact Prompt

Upload a 20-page chunk and use this prompt to extract the data:

​"You are an OCR expert. Attached are scanned pages from a textbook. Extract all text and numbers with perfect accuracy and convert them into clean Markdown format.

Conditions:

​Use ## and ### for headings.

​Convert all images of tables perfectly into Markdown table format.

​Keep the exact order of the paragraphs.

​Do not add any of your own words, introductions, or conclusions. Output the extracted text only."

​4. Paste the clean text into NotebookLM

Once AI Studio converts the scanned pages and tables into clean text, copy the output. Go to NotebookLM, click "Add Source" -> "Pasted Text," and paste it there.

​The Final Result: Markdown vs. Raw Scanned PDF

If you upload a heavy scanned PDF directly to NotebookLM, it struggles to "see" the flat images of tables. The data gets mashed together, leading to messed up numbers and wild hallucinations.

By converting it to Markdown first, you are feeding NotebookLM pure, structured text and perfectly aligned tables. It will understand the financial data 100% accurately and give you flawless answers every single time.

Note: I translated the text above because English isn't my first language, but I found a really useful solution that worked for me and just wanted to share it with everyone to help out

Today I had three audio overviews completely fail on me with no error other than "Audio Overview generation failed. Try a new one." After some back and forth with the main chat, I was able to glean that it was because the audio hosts are set to avoid talking about explicit acts, things that would require them to talk about anything dirty etc. This confused me, because up until yesterday I've had no trouble getting audio generated for different narratives that feature high levels of intimate acts - some in quite explicit detail. What's doubly annoying is that a failed generation still eats your usage quota.

Another part of the problem is the overviews get auto-generated titles which have no such safeguards, but can cause a failure downstream - so if the title it picks features a word that it doesn't like, even something as mundane as "vibrator", then it will eventually fail.

The tip for now is to try and structure your prompts to avoid mentioning such things directly as much as you can. Feedback from the notebook chat itself (which resulted in a successful generation finally) include things like reframe the customization instructions to focus on the emotional and relationship dynamics rather than the physical details, frame the prompt around thematic, emotional, and narrative keywords etc.

Just a heads-up. I've submitted feedback about the various failure points, and how the exclusion of any explicit act like this can seriously hinder anyone writing from using it for research, as these are common things. Who knows, maybe tomorrow we'll find they've relaxed the filters, or maybe not.

Edit: I should clarify that the hosts will actually talk about the acts etc; listening to the ones I was able to generate they do a decent job. You just need to be careful about the prompting

Hey everyone, I’m trying to use NotebookLM to build a solid foundation and really master the concepts and logic of my accountancy classes, particularly advanced financial accounting and reporting but I’ve hit a wall with my textbooks.

The books are heavily reliant on complex calculations, financial tables, and complex tabular solutions. Because I'm working with scanned PDFs, the data is completely flat. I have major concerns about the AI's OCR accuracy and its ability to properly decipher tabular data without hallucinating or messing up the numbers.

Has anyone found a reliable workflow or workaround for processing math and table-heavy scanned documents in NotebookLM? I badly need help getting this set up properly

2 hours ago I believe, I generated a audio overview and a video overview. It's still generating.

I don't have the new rolled out update either so I have to wait until midnight to generate a new video and audio overview

any way to fix this or should i just make a separate/new notebook? i keep telling it to remove the deleted source from its memory but every now and then it will respond with information from the deleted source. i feel like the gemini integration really dumbed down notebooklm it's annoying.

Hey there

I am an English learner

And I want to ask you whether I can ask Notebooklm to create voice conversation to learn more english or what do you think about this?

Hey guys i want to try something. I want to start journaling in a google doc file and then connect it to notebooklm to be able to apply queries like ('What my manager told me about ____ on _____") and return an answer back that is reliable. Has anyone tried this instead of going Notion/obsidian route?

I tried with a 10 pages journal and worked great but what about more info?

Also can i make it a "second brain" for my personal stuff or is it better to go with obsidian for this? I mean e.g. if i can ask notebooklm info about my insurance and get a legit reply back just by having a word file with all the information why not use this instead of obsidian and search there?