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The anatomy of a Gemini Notebook: 6 parts that turn 50 files into a podcast

Google renamed NotebookLM to Gemini Notebook in July. These six parts decide what the notebook reads, what it makes and where the free limits bite.

AI-generated illustration, not a documentary screenshot: a giant open notebook in a dark studio, its pages curling into a microphone while documents spiral into it and blank quiz cards orbit around it. A metaphor for Gemini Notebook turning uploaded sources into audio, video and study material. No real person, product interface or event is depicted.
AI-generated illustration by Auratro
In this article

NotebookLM was renamed Gemini Notebook on 16 July 2026. It is the same standalone research product, now with a secure cloud computer for code-based analysis and notebooks that sync with the Gemini app and, Google says, AI Mode in Search. The rename is the easy part. The tool only becomes useful when you understand it as a closed box: a set of sources, a chat that must answer from those sources, and a Studio panel that turns them into other formats.

Most people open it, upload one PDF, ask a question and leave. That is roughly 20% of the product. These are the six parts worth setting up, in the order they matter.

1. The source set

A notebook is only as good as what you put inside it. On a free account Google lists 100 notebooks, 50 sources per notebook, and up to 500,000 words or 200MB per uploaded source.

Supported inputs include PDF, Word, text, Markdown, CSV and PowerPoint files; Google Docs, Slides (up to 100 slides) and Sheets (up to 100k tokens); images; audio; web URLs; ePub; eligible Play Books; pasted text; and public YouTube videos. A YouTube import is transcript-only: the video needs public captions, and one uploaded less than 72 hours ago may not be available yet.

Google's own warning is worth repeating: do not upload documents you do not have the rights to use. Each notebook is independent, so the tool cannot see across two notebooks at the same time.

2. The selection

Sources are always part of the prompt, either the whole set or the subset you tick in the Sources panel. Notes are different: they are only used when you select them.

That makes the selection a control, not a filter. For a focused answer, tick only the three documents that matter and name them in the question. Google's example is the right instinct: instead of "Summarise this source", ask what a named document says about one specific finding. With five or more sources, the app can also auto-label and group them by topic, which is useful once a project grows past a handful of files.

3. Audio Overview

This is the part people show their friends. In the Studio panel, choose Audio Overview and pick a format: Deep Dive (two hosts, the default), The Brief (one speaker, under two minutes), The Critique (two hosts evaluating a document) or The Debate (two hosts arguing the topic).

You can set the language (Google lists 80+), adjust length with Shorter, Default or Longer, and add a prompt to steer the focus or the level of expertise. Interactive mode, currently English only, lets you join the conversation and ask the hosts a question by voice. Their answer is grounded in your sources, then the overview continues.

The output is generated, not reported. Google warns that voices and content can contain inaccuracies or audio glitches, so check anything you plan to reuse.

4. Video Overview

Video Overview turns the same sources into a narrated visual summary. Pick Cinematic for a more produced storytelling style, Explainer for a structured walkthrough, or Short for a video of roughly 60 seconds. Explainer videos also offer visual styles such as Classic, Whiteboard, Watercolour, Retro Print or Anime, and a steering prompt to choose the focus.

Two practical notes: Cinematic is limited to users 18 and over and supports English only, and Google says generation can sometimes take more than 30 minutes. The producer-notes workflow, where you review an outline before rendering, is limited to Google AI Ultra subscribers.

5. The study and work outputs

The Studio panel is broader than audio and video. A Mind Map, started from the chat chip, draws the main topics and their branches; you can select a node to ask about it. Google notes that the mobile app does not support Mind Maps yet, so use the desktop version.

Flashcards and Quizzes turn the sources into practice material. You can choose easy, medium or hard, pick fewer or more cards, mark each as "Got it" or "Missed it", ask for an explanation, and export a flashcard deck as CSV. Reports cover FAQ, study guide and briefing document formats. Data Tables, Slide Decks and Infographics live in the same panel, and reports and tables can be exported to Google Docs or Sheets.

6. The limits, including the mobile gap

The mobile app is a companion, not the full product. It supports PDF, website, YouTube, audio and copied text as sources, plus chat, audio overviews, flashcards, quizzes, infographics and slide decks. Notes, Mind Maps, reports and Data Tables are desktop-only for now.

Usage is the other trap. Google's plan page still lists per-day caps, but in August 2026 Google announced flexible, compute-specific limits that refresh every five hours rather than daily for consumer accounts on web and mobile, rolling out from 2 September. Because the cost depends on prompt complexity, chat length and the number of sources, a fixed daily number is a poor guide. Check the usage panel in your own account.

Public sharing is enabled for consumer accounts; Google says it is disabled for Workspace Enterprise and Education accounts. Generated images and videos carry an invisible SynthID watermark, and eligible Pro and Ultra users can control a visible watermark.

What to try first

Start with one real project: five to ten documents you already trust. Tick those sources, ask one narrow question, then generate a Brief audio overview and a flashcard deck from the same set. If the answers drift, cut the source list before you blame the model. The six parts are not about doing more. They are about knowing exactly what the notebook was allowed to read.

From Auratro Editorial

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ChatGPT can now lock a single chat behind a PIN. Here is what that actually hides

OpenAI's Locked chats keeps a conversation out of your history, pinned chats and search. It is not end-to-end encryption, and a forgotten PIN deletes everything inside.

Auratro EditorialOpen this article
AI-generated illustration, not a documentary screenshot: a colossal black steel vault door shaped like a speech bubble stands in a dark void, slightly ajar with warm amber light spilling out and sealed envelopes floating nearby, with a four-dot keypad on the door. A metaphor for ChatGPT's Locked chats - a single conversation hidden behind a PIN, not a fully encrypted vault. No real person, product interface or event is depicted.
AI-generated illustration by Auratro

OpenAI began rolling out Locked chats on 20 October 2026. The feature hides chosen conversations from your regular chat history, pinned chats and normal ChatGPT search, and asks for a 4-digit account PIN, Face ID, Touch ID or your device unlock before it shows them. The company put it in the ChatGPT release notes and a dedicated help page; the rollout is gradual, so the option may not appear for you yet.

The intended use is narrower than a privacy overhaul. OpenAI describes it as a way to keep sensitive conversations out of view when you share a screen or hand someone your phone. In practice that covers a lot: medical questions, salary negotiations, a message you are drafting about a friend, or a surprise you are planning. Locked chats also stop those titles showing up when someone else scrolls your sidebar.

How to lock a chat

These are the documented steps, not a procedure we independently tested; interface details vary by platform and rollout.

1. Open the conversation you want to hide.

2. Open its more options menu (the three dots) and select Lock chat.

3. Confirm Lock chat again.

4. Create a 4-digit account PIN if you do not have one, or enter it when prompted.

The chat moves to Projects > Locked chats. You can open that area later, enter the PIN or use device authentication, and start new conversations from there. On iOS and Android you can switch on Face ID, Touch ID or device unlock in the account PIN settings. Device authentication is set up per device and does not replace the PIN.

Access is temporary by design. On web and desktop it applies to the tab or window where you entered the PIN and ends when you refresh or close it. On iOS and Android it ends about one minute after you leave the locked area or put the app in the background. A Lock now button ends it immediately.

What Locked chats does not do

This is the part worth reading before you trust it with anything serious. OpenAI says locking a chat does not:

  • create end-to-end encryption or a separate encrypted vault,
  • change how long OpenAI retains the conversation,
  • change your Improve the model for everyone setting,
  • remove anything ChatGPT remembered before you locked the chat,
  • override your workspace's policies, safety rules or legal obligations.

So the lock controls who can see the chat on your screen. It does not change who can access the data behind it. In a work workspace, administrators cannot unlock your chats or reset your PIN, but Enterprise and Edu locked chats still appear in conversation logs available through the OpenAI Compliance Platform. And anyone who can open a locked chat can still copy its contents.

The memory split is the useful surprise

If Memory is on, locked chats get their own memory that is shared across conversations inside the locked area. New messages sent after locking can be remembered there, and that memory does not carry back into your regular chats. Regular memory can still be used inside locked chats, and locking does not erase what was already remembered. On balance that is a sensible split: the private thread learns from itself without leaking its details into the chat you use at work.

Nine conversation types cannot be locked

The Lock chat option is unavailable for temporary chats, archived chats, group chats, chats created from a shared link, chats with scheduled tasks, chats with meeting recordings, chats associated with background tasks, chats with responses saved as project sources, and chats in the earlier Health experience. Codex conversations cannot be locked, and the feature is not available on ChatGPT for Healthcare. If you lock a chat that came from a project, it leaves that project and stops using its instructions, files and memory.

The PIN reset is a delete button

This is the one warning to say out loud. Changing your PIN, with the current PIN in hand, keeps your locked chats. Resetting a forgotten PIN permanently deletes every locked chat, the memories stored only inside them and files protected only by that PIN. OpenAI says the deletion cannot be undone and support cannot recover the content. A workspace administrator cannot reset it for you either.

Before you rely on the feature, decide where you will keep the PIN. A password manager entry is more reliable than memory. If the chats matter, consider exporting anything you would hate to lose; the reset path is not a recovery flow.

What to do now

Check whether Lock chat appears in a conversation's three-dot menu. If it does, lock one genuinely sensitive thread and test the end of access: leave the tab or background the app, then confirm it asks again. Do not treat the lock as a replacement for deleting data you no longer want stored, and do not put passwords, card numbers or other secrets into a chat just because the title is hidden.

Locked chats are available across Free, Go, Plus, Pro, Business, Enterprise and Edu plans as the rollout reaches them. The feature is a useful screen-level privacy control, not a private vault. That distinction is the whole story.

Sources & further readingOpenAI Help Center: Using locked chats in ChatGPT (updated 20 October 2026)OpenAI Help Center: ChatGPT release notes, 20 October 2026TechCrunch: ChatGPT now lets you lock your chats (20 October 2026)
NEXT STORY Growth

$66 in month one, $41,000 a month six months later: one AI-written guide a day

A first-time iOS developer built a simple encrypted photo vault in about three weeks with coding agents. No ads, no TikTok, no App Store luck: he published a guide a day and let search do the selling.

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AI-generated illustration, not a documentary photo: a colossal glowing sheet of paper stands in a dark desert, its doorways pouring rivers of gold light into a giant phone whose screen is an open vault door, with one tiny distant silhouette. Visual metaphor for one AI-written guide a day feeding a private encrypted vault app. No real person, product or event is depicted.
AI-generated illustration by Auratro

A first-time iOS developer wanted a simple thing: a private place on an iPhone for photos and files that nobody else could open. Not Apple, not a cloud provider, not him. He built it in about three weeks, mostly by directing AI coding agents, and launched with no audience, no ad budget and no marketing plan.

The first month, the app made $66.

Six months later it made $41,000 in a single month, and it is now averaging roughly $2,000 to $3,000 a day, as the founder says in a Starter Story interview published on 18 October 2026. The app has passed 60,000 downloads. He says he has not written a single line of code or a single line of the website copy himself.

The interesting part is how he got there, because it was not a viral video and it was not paid acquisition.

The product is almost boringly simple

The app stores photos, videos and files in an encrypted vault on the phone. You unlock it with a pattern, keep a recovery phrase, and there is no account and no sign-up. Because the keys never leave the device, the company cannot read the contents and cannot recover them either.

That simplicity is the point. The category is crowded with apps that are 15 years old and have millions of users, which means they rank well and get taken for granted. He could not outspend them, and he could not outrank them inside the App Store.

So he attacked the part they ignore: the open web.

The growth engine: one guide a day

He started with a normal marketing site: pages outlining each feature, then a series of guides aimed at the questions people actually type, such as how to store photos privately on an iPhone. Every one of those pages was written by a coding agent, not by him.

The loop is mechanical. Each morning, a small command-line tool he built queries Google Keyword Planner, looking for keywords where his site already appears in search results but gets almost no clicks. That gap is the opportunity: search engines have decided the page is relevant, but the title and the content are not earning the visit.

A guide is generated for that gap. He publishes about one a day. Google typically indexes a new page in three to four days. Internal links from pages that already receive traffic push the new one up, and the library compounds.

He says roughly 99% of the remaining daily work is a Claude agent waking up and running the loop.

Where the money actually comes from

The site is now the majority of his traffic, and he says about 10% of web visitors download the app.

The conversion curve is the unusual part. Only 5.47% of people who download on day one end up paying, and day one is the worst day, not the best. Conversion climbs for about two months and peaks around day 60. That is the opposite of the standard consumer-app playbook, where a user who does not pay immediately usually never does.

Lifetime purchases do most of the work: roughly 60% of purchases and more than 80% of revenue, as he describes it. The product earns trust slowly, and the pricing reflects that.

How to copy the method

Pick a need people already search for, not a clever idea nobody is looking up. He did not invent demand for private photo storage; he found a crowded category with old incumbents and went after the questions they never bothered to answer.

Build the smallest honest version of the product. Three weeks and coding agents were enough because the feature set was narrow and the promise was clear. A vague product cannot be explained by a guide.

Find the queries where you already appear without clicks. If you have no site yet, start with the plain questions your buyers ask before they know your product exists. Write the answer better than the first page of results, not longer.

Publish on a schedule you can keep, and link every new page from pages that already get traffic. One good page a day beats ten rushed pages once. Then measure the two numbers that matter: search impressions and the share of visitors who take the next step.

Finally, fix the conversion path before you scale the traffic. His call to action sits where readers naturally stop, and his paid tier is a one-time upgrade rather than a subscription that expires. Traffic into a broken funnel is just expensive noise.

What to watch out for

Every figure here is self-reported in a promotional case-study interview and has not been independently audited. Revenue is not profit: AI coding tools, hosting and payment fees all cost money, and the interview does not break out margins.

He also had unusual advantages. He is a repeat founder with a technical and security background, and the app was built on a privacy promise that is hard to copy without real care. A security product that leaks once is finished.

The daily publishing loop is also a real commitment, and search results are not guaranteed. Google can change how it indexes, the keyword gap can close, and a competitor can copy the same pages. The method lowers the cost of distribution; it does not remove the risk.

And the honest framing matters: this is a report of what one person did, not a promise that the same app or the same numbers will happen to anyone else. The repeatable part is the loop, not the outcome.

Sources & further readingThis app is making $2,000 PER DAY - Starter Story