NotebookLM: 10 Tips That Separate the Clickers From the Power Users

So you’ve heard of NotebookLM. Maybe you even tried it. You uploaded a document, asked it a question, it answered, and you thought “okay, cool” — and then went back to doing things the old way.

First of all, same. Second of all, you’re leaving an enormous amount on the table.

NotebookLM is one of those tools that looks simple on the surface and then turns out to have an entire underground city beneath it. The tips below are what separate people who use it occasionally from people who’ve quietly restructured their entire workflow around it. Ranked, because everything is better when it’s ranked.

Let’s go.

Before Anything Else: Why NotebookLM Is Different

Quick reminder, because it matters for everything that follows.

Most AI tools work like a very well-read person: they know a lot of general stuff, and they answer from that general knowledge. The problem? Sometimes they make things up. Confidently. With a straight face. It’s called “hallucination” and it’s the AI equivalent of that colleague who always sounds certain and is occasionally completely wrong.

NotebookLM works differently. It only answers from the documents you give it. Nothing else. It’s not browsing the internet, it’s not drawing on general knowledge — it’s reading your stuff and synthesizing your stuff. Every answer comes with a citation, which you can click to verify. Every. Single. One.

This is not a limitation. This is the whole point. And once you internalize that, these tips will make a lot more sense.

Tip #1: One Notebook, One Topic. No Exceptions.

This sounds boring. It is also the most important thing in this article.

The temptation is to create one giant notebook and throw everything into it — all your projects, all your documents, all your research. It feels organized. It is not organized. It’s a junk drawer with a label on it.

When you mix unrelated content in a single notebook, the AI’s ability to find connections and surface relevant information gets diluted. It’s like asking a very smart person to think about marketing strategy, project timelines, HR policy, and last year’s invoices all at the same time. Even they’d look at you funny.

The fix is simple: one notebook per project, per topic, per purpose. A “Marketing Research” notebook. A “Client X Project” notebook. A “Competitor Analysis” notebook. Each one becomes a focused little expert on exactly that thing and nothing else. The results are dramatically better.

Input discipline. That’s the whole tip.

Tip #2: The Note-to-Source Loop (a.k.a. the Recursive Brain Trick)

This one is a little mind-bending but very worth it.

Here’s the problem: when you have 10 raw documents in a notebook, there’s a lot of noise. Repetition, tangents, conflicting info, irrelevant sections. The AI does its best, but it’s working with messy material.

Here’s the fix: ask NotebookLM to synthesize all of it into one clean, structured note first. A comparison table, a summary document, a structured overview — whatever fits your purpose. Then take that note, clean it up manually if needed, and re-upload it as the only source in the notebook. Deselect all the originals.

Now the AI is working from a clean, verified, “gold standard” document you’ve curated yourself. The Audio Overviews it generates will be sharper. The slide decks will be more focused. The answers will be cleaner.

You’re essentially using the AI to make better raw material for the AI. Recursive, slightly philosophical, extremely useful.

Tip #3: Custom Instructions — All 10,000 Characters of Them

NotebookLM lets you set custom instructions for how the AI should behave in your notebook. Think of it as a permanent system prompt — a briefing you give the AI before every single conversation.

NotebookLM recently expanded this to 10,000 characters (that’s a lot of characters), which means you can now write genuinely detailed instructions. Not just “be formal” — but an entire persona, a role, a set of constraints, a preferred output format, the works.

Power users keep a “persona library” and paste in different ones depending on the task:

The Socratic Coach — doesn’t give you answers, asks you questions about the material so you actually have to think (and retain things)
The Senior Strategy Consultant — cuts straight to SWOT analysis, actionable recommendations, and executive-level framing
The Devil’s Advocate — specifically looks for holes in your argument, contradictions in the data, and reasons your plan might fail

That last one, by the way, is genuinely useful before any big presentation or proposal. Better to hear the problems from your AI than from your client.

Tip #4: Deep Research for the Gaps in Your Own Knowledge

Your internal documents are great, but they don’t know what happened last month. They don’t know what your competitor just announced. They don’t know the regulatory change that was published last week.

NotebookLM has a Deep Research mode that goes out and browses live websites to fill those gaps. You give it a question, it does the legwork across hundreds of sources and comes back with a cited report. You then import that report as a source into your notebook.

The result is a hybrid knowledge base: your internal documents plus the current state of the world, all in one place, all queryable. It’s the difference between working with a snapshot and working with a live picture.

Tip #5: Stop Generating One Audio Overview and Walking Away

The Audio Overview feature — where NotebookLM generates a podcast with two AI hosts discussing your documents — has, remarkably, been used by over 10 million people a month. Which means most of those people generated it once, listened passively, and called it done.

Don’t do that.

The actual power move: customize the prompt before you generate. You can tell the hosts what to focus on, what tone to take, what angle to explore. “Focus on the financial implications.” “Take a more skeptical tone.” “Debate the two main approaches and don’t pick a winner.”

Then generate multiple episodes from the same material, each exploring a different angle. You now have a mini podcast series about your own documents, which is either very cool or very weird, depending on your personality.

And in Interactive Mode, you can join the conversation yourself. Interrupt the hosts. Ask them to go deeper on a specific point. Act as a guest on your own podcast about your own meeting notes. Honestly? We live in remarkable times.

Tip #6: Query Across Notebooks (The Second Brain Move)

For a while, the biggest frustration with NotebookLM was that notebooks were silos. Your Marketing notebook couldn’t talk to your Finance notebook. You had multiple specialized experts who didn’t know each other existed.

That changed. You can now connect multiple notebooks through the Gemini app and query across all of them at once. So when the strategic question requires both the marketing data and the financial data, you don’t have to jump between two notebooks and manually connect the dots yourself.

This is what people mean when they talk about a “second brain.” Not one massive document dump — a network of specialized, focused notebooks that can be interrogated together when needed.

Tip #7: Ask It What’s Missing (The Source Gap Prompt)

Most people use NotebookLM as a summarizer. Summarize this. Explain that. What are the key points?

Useful. But not the most powerful thing you can do.

The most powerful prompt in the advanced user toolkit is the Source Gap prompt: ask the AI to tell you what’s not in the documents. What’s missing. What assumptions are unproven. Where the sources contradict each other. What questions the material raises but doesn’t answer.

You’re asking it to be an auditor, not a summarizer. And auditors find the things that matter — the gaps, the blind spots, the weak links in the argument. For market research, strategic planning, or any document where the stakes are high, this is invaluable.

“What important context is not covered in these documents?” is one of the most useful prompts you will ever type.

Tip #8: Transcribe Everything. Seriously, Everything.

NotebookLM supports audio and video uploads (YouTube links, MP4 files, MP3 recordings), and it will transcribe and analyze them just like text documents.

Think about what that means. Call recordings. Client interviews. Conference presentations you attended. Internal webinars. That hour-long product review meeting where someone promised to send the notes and never did.

All of it becomes searchable, queryable, and summarizable. You can turn a recorded client call into structured notes, FAQs, or a follow-up email in minutes. A recorded training session becomes a searchable knowledge base. A YouTube tutorial on a tool you’re learning becomes source material you can interrogate.

Third-party transcription services cost money and still give you a wall of text you have to process yourself. NotebookLM transcribes it and puts it directly into an environment where you can ask questions about it. That’s a different category of useful.

Tip #9: Revise Your Slides Like a Demanding Art Director

NotebookLM can generate slide decks directly from your source material. One click, full deck, done. Which is impressive enough on its own.

But the real move is what you do after. Once the deck is generated, you can go into the chat and tell it to revise specific slides. “Redo slide 4 to focus on the executive summary.” “Make slide 7 more visual and less text-heavy.” “The intro slide needs to start with the problem, not the solution.”

You’re essentially art-directing an AI slide designer who doesn’t take things personally and never says “but I thought we agreed on this layout.” Just iterate until it’s right, then export to PPTX and polish the final version yourself.

It won’t replace a good designer for anything that needs to look genuinely beautiful. But for an internal strategy presentation at 9am on a Tuesday? It’ll get you there.

Tip #10: Use the Citations to Navigate, Not Just to Verify

Every answer NotebookLM gives you includes clickable footnote-style citations linking directly to the source passage. Most people click them occasionally, to check if the AI got it right.

Power users click them constantly — not to verify, but to navigate.

Got a 500-page document? Don’t use Ctrl+F and hope for the best. Ask NotebookLM a question about the topic you need, and click the citation. You’ve just jumped directly to the relevant section using semantic search. The chat panel becomes a high-speed navigation interface for dense material.

For anyone who works with long contracts, technical documentation, lengthy reports, or academic papers, this alone is worth the price of entry. (Which, for the free tier, is zero. So.)

Bonus: The Three-Tool Chain That Power Users Actually Use

Here’s a workflow that’s become increasingly popular among people who’ve fully leaned into AI-assisted research:

Step 1 — Perplexity for initial web sourcing. It’s great at finding high-quality, current URLs on a topic quickly.

Step 2 — NotebookLM for deep, grounded analysis. Import those URLs, cross-reference with your internal documents, generate structured notes and synthesis.

Step 3 — ChatGPT or Claude for creative output. Take the refined synthesis from NotebookLM and move it to a more creatively fluent model for drafting, writing, or ideation.

Each tool does what it’s best at. Perplexity searches. NotebookLM synthesizes accurately. Claude or ChatGPT writes fluidly. Together, they cover the full research-to-output pipeline without any single tool having to be great at everything.

The Bottom Line (Again, But With More Conviction This Time)

NotebookLM is not a chatbot. It’s not a search engine. It’s not a note-taking app.

It’s a precision research environment that happens to also generate podcasts, slide decks, mind maps, and video summaries from your documents. Used casually, it’s a useful time-saver. Used strategically — with focused notebooks, custom personas, recursive refinement, and the right prompts — it’s genuinely a different way of working with information.

The tips above aren’t tricks. They’re a framework. Start with Tip #1 (notebook discipline), layer in the others as they become relevant to your work, and don’t try to implement all ten in the first week. You’ll lose your mind. Or at least your enthusiasm.

Pick one. Try it. See what changes.

The 500-page document isn’t going to read itself. But NotebookLM will, and it’ll tell you exactly what’s in it, what’s missing, and what you should probably do about it.

Shay Stibelman is a digital marketing consultant based in Milan, Italy. He helps businesses work smarter with the digital tools they already have — or the ones they really should have by now.

Microsoft Office Just Got a Brain. Here’s What That Means For You.

Let’s be honest for a second.

You’ve been using Microsoft Office for years. Maybe decades. You know how to bold text. You know Ctrl+Z is undo and you use it approximately 400 times a day. You’ve survived Excel formulas that looked like ancient Sanskrit, PowerPoint transitions that belonged in a 2003 corporate fever dream, and Word documents that somehow changed formatting by themselves in the middle of the night.

You’ve been through a lot together, you and Office.

And now, Microsoft has added AI to the whole thing. It’s called Copilot, and it lives inside Word, Excel, PowerPoint, Outlook, Teams — basically everywhere you already spend your working hours. Which is everywhere.

So what does that actually mean for you? Good question. Let’s get into it.

First, the Obvious Question: Do I Need to Learn Something New?

Sort of, but not really.

The beauty of Copilot — and AI assistants in general when they’re baked into tools you already use — is that you’re not learning a new interface. You’re not switching apps. You’re not watching a three-part tutorial series on YouTube at 1.5x speed while eating lunch.

You’re just working in the same apps you’ve always used, except now there’s a little AI assistant sitting in the sidebar going “psst. I can help with that.”

The learning curve is: know what to ask. That’s it. And we’re going to cover exactly that.

Word: Your New Writing Partner Who Never Sighs at Your Drafts

Let’s start with Word, because almost everyone uses it and almost everyone has a complicated relationship with the blank page.

Drafting from scratch? Don’t. Describe what you need and let Copilot write a first draft. Not because you’re lazy — because a first draft to react to is always faster than a first draft from nothing. You’ll edit it, reshape it, make it yours. But you’re not starting from zero, and that matters more than people admit.

Rewriting existing content? Select any paragraph, right-click, and ask Copilot to make it shorter, more formal, more casual, or just “better.” It’s surprisingly good at adjusting tone. Handy for when you need to send the same information to your CEO and to a client and they absolutely cannot sound identical.

Summarizing long documents? Ask Copilot to summarize whatever’s open. It reads the whole thing and gives you the key points. This is particularly useful when someone sends you a 20-page document with the note “let me know your thoughts by EOD” at 4:47pm.

The secret move: Ask it to improve your writing, not just change it. There’s a difference between “make this shorter” and “make this clearer and more direct.” Try both. See what happens.

Excel: Finally, Formulas in Human Language

Okay. Excel formulas. Let’s talk.

I love Excel. I also know that a non-trivial percentage of the working population opens a cell, starts typing a formula, makes one small error, and then stares at a #REF! error for 20 minutes while slowly questioning their life choices.

With Copilot in Excel, you can now describe what you want in plain English and it will write the formula for you.

“Show me the total sales for Q3 where the region is ‘North’.” “Calculate the average time between order date and delivery date.” “Flag any rows where the value in column C is more than 20% higher than the previous row.”

It writes the formula. You paste it in. It works. You feel like a genius. Nobody has to know.

But it goes further than formulas. You can ask Copilot to:

Spot trends in your data — “What patterns do you see in this dataset?”
Suggest charts — “What’s the best way to visualize this data?”
Clean up messy data — ask it to identify duplicates, inconsistencies, or blank cells
Generate new columns based on logic — “Add a column that categorizes sales as High, Medium or Low based on value”

The spreadsheet isn’t going to build itself. But with Copilot, it’s getting a lot closer.

The secret move: Don’t just ask it to do things. Ask it to explain things. If you’ve inherited a spreadsheet full of formulas someone else wrote (we’ve all been there, and we’ve all had feelings about it), ask Copilot to explain what each formula does. Instant clarity. No archaeology required.

PowerPoint: Slides From Nothing, In Seconds

PowerPoint has a special place in the circle of office suffering. There is nothing quite like the experience of being told you need to “put together a quick presentation” — which, in the history of work, has never once been quick.

Copilot can now generate an entire presentation from a prompt. Or, better yet, from a Word document you’ve already written. You feed it the content, tell it roughly what you need, and it builds slides — with layouts, titles, bullet points, and even suggested images.

Is it perfect? No. Will you need to tweak it? Yes. Will it still save you 45 minutes of dragging text boxes around and trying to remember whether your brand color is #0050A0 or #0052A3? Absolutely.

You can also use it to:

Summarize a presentation that someone sent you (because sometimes you receive a 40-slide deck and need to understand it in 3 minutes)
Add a new slide on a specific topic without breaking the existing formatting
Rewrite speaker notes so they actually sound like something a human would say out loud, rather than a bullet-pointed anxiety spiral

The secret move: After generating slides, ask Copilot: “What’s missing from this presentation?” It will often flag gaps in logic, missing sections, or points that need more supporting data. It’s like having a second pair of eyes that’s read the brief and isn’t being polite about it.

Outlook: Because Email is Still Somehow the Core of Everything

Email. The immortal, indestructible, unstoppable communication format that was supposed to die approximately fifteen times and never did.

Copilot in Outlook does a few things that will make your inbox slightly less of a horror show.

Email summaries: Long email thread with 24 replies and you have no idea what’s happening? Ask Copilot to summarize it. It pulls out the key decisions, open questions, and action items. You’re caught up in 30 seconds. You’re welcome.

Draft replies: You can highlight an email and ask Copilot to draft a reply for you. Give it the key point you want to make and the tone you want to strike, and it handles the rest. This is especially useful for emails you’ve been putting off because they require a delicate touch (read: the ones you’ve had sitting in your inbox for four days with a little mental sticky note that says “ugh”).

Coaching mode: There’s a feature that reviews your draft before you send it and gives feedback on tone, clarity, and whether it might land the wrong way. Think of it as a friend who reads your passive-aggressive email before you send it and gently says “maybe don’t.”

The secret move: Use Copilot to schedule follow-ups. Ask it to draft a follow-up email to send in three days if you haven’t heard back. Copy it into a draft, schedule the send. Never forget a follow-up again. Never lose a deal because it fell through a crack. Very satisfying.

Teams: The Meeting Took Two Hours and You Need It to Be Four Bullet Points

Teams has arguably the most dramatic AI upgrade of the whole suite.

Copilot in Teams can transcribe your meetings in real time, take notes, summarize the discussion, and generate a list of action items — all automatically, while you’re actually present in the meeting and paying attention like a normal human being.

After the meeting, you can ask it things like:

“What did we decide about the budget?”
“Were there any open questions that didn’t get resolved?”
“What did Marco say about the timeline?” (Perfect for when Marco is a fast talker and you lost the thread somewhere around minute 47.)

You can even ask it to catch you up if you joined a meeting late. Which, you know. Happens sometimes. To some of us. More than we’d like to admit.

The secret move: At the end of a meeting, before you hang up, ask Copilot to generate a recap you can paste directly into an email to all attendees. Meeting summary + action items + owners + deadlines, ready to send. Your team will think you’ve become incredibly organized. You have not. You’ve become incredibly smart about using tools.

The Stuff That Works Across All of Them

A few principles that apply no matter which Office app you’re in:

Be specific about tone. “Formal” and “professional” are not the same thing. “Casual” and “friendly” are not the same thing. Tell it exactly what register you need.

Give it context. The more it knows about the situation, the better the output. “Write an email” is a weak prompt. “Write an email to a long-term client explaining a 2-week delay on their project, keeping the tone reassuring and taking responsibility without being dramatic” is a great prompt.

Iterate, don’t regenerate. If the first output isn’t quite right, don’t just click “regenerate” and hope for different results. Tell it specifically what to change. “Make the introduction shorter.” “The second paragraph is too formal.” “Add a sentence acknowledging the inconvenience.” You’ll get there faster.

Use it to think, not just to produce. Ask it questions. “What am I missing here?” “Is there a better way to structure this?” “What objections might someone have to this proposal?” AI is a thinking partner, not just a text generator.

Coming Up: The Deep Dives

This is the overview — the “here’s what’s possible” article. But we’re just getting started.

In the coming articles, I’ll be going deep on each of these apps individually: specific features, real use cases, the tricks that actually save time versus the ones that look impressive in demos and are useless in real life. We’ll also look at specific job roles and workflows — what AI in Office looks like for someone in finance versus someone in marketing versus someone who just wants to get through their inbox and go home on time.

So bookmark this. Or don’t — just Google “Shay AI Office” in three weeks and it’ll probably come up. (That’s SEO confidence right there.)

Pro Tip: The Sidebar Is Your Secret Weapon

Here’s something that most people overlook entirely, and it’s kind of mind-blowing once you start using it.

In Microsoft 365 apps, Copilot lives in a sidebar — a persistent panel on the right side of your screen that you can open at any time, in any document, and just… talk to. You don’t have to use the inline features. You don’t have to right-click or navigate menus. The sidebar is just there, ready, like a very competent colleague who never leaves their desk.

You can have it summarize what you’re working on, ask it questions about the document, get it to generate something new, or just think out loud with it while you work.

And if you’re in the Google Workspace universe instead — Docs, Sheets, Slides, Gmail — the same principle applies with Gemini in the sidebar. Google has their own version of this, and with Gems (custom AI personas you can configure for specific tasks), you can set up a sidebar assistant that’s already tuned for your specific workflow before you even open a document.

Whether it’s Copilot or Gemini, the sidebar is where the real day-to-day magic happens — not in flashy demos, but in the quiet five seconds where you ask a quick question and get back exactly what you needed.

I’m going to write a whole dedicated article about using the sidebar effectively — for both Microsoft and Google — including how to set up Gemini Gems for specific roles and workflows. It’s worth its own deep dive. Stay tuned.

Shay Stibelman is a digital marketing consultant based in Milan, Italy. He helps small and medium businesses get their digital act together — websites, strategy, tools, and the occasional strongly-worded opinion about fonts in PowerPoint presentations.

Using NotebookLM in the office

NotebookLM: The AI Tool That Actually Reads Your Boring Documents So You Don’t Have To

You know that pile of documents sitting in your Google Drive right now? The ones you fully intended to read? The 47-page strategy report from Q3. The onboarding handbook you skimmed on your first day and never opened again. The meeting transcript from that two-hour call where someone finally decided to write everything down, and now the document is longer than the actual meeting.

Yeah. Those documents.

What if I told you there’s a free tool from Google that will read all of them for you, understand them, and then let you have a conversation about them — like a colleague who actually did the reading?

Meet NotebookLM.

So What Even Is This Thing?

NotebookLM is a free AI tool from Google (you can find it at notebooklm.google.com — go on, open a tab). The basic idea is simple: you give it your documents, and it becomes an expert on those specific documents.

This is the key difference between NotebookLM and the regular AI chatbots you might already know. When you ask ChatGPT something, it answers based on everything it was trained on — the whole internet, basically. When you ask NotebookLM something, it answers based only on what you gave it.

Why does that matter? Because it means the answers are grounded in your stuff. Your company docs, your reports, your notes. It’s not guessing or making things up from general knowledge. It’s working from the actual source material you provided.

For office workers, this is kind of a big deal.

Let’s Talk About What It Actually Does

You Upload Stuff, Then You Ask Questions

The workflow is beautifully simple. You create a “notebook” (hence the name, clever right?), you upload your documents — PDFs, Google Docs, copied text, even YouTube links and website URLs — and then you start asking questions.

It accepts up to 50 sources per notebook, and each source can be up to 500,000 words. So yes, you can throw the entire history of your company’s internal documentation at it and it will not complain. Unlike your intern.

Once your sources are in, you can ask things like:

“What were the main conclusions of this report?”
“Summarize the key action items from these meeting notes.”
“What does this contract say about payment terms?”
“Are there any contradictions between these two policy documents?”

And it answers. With citations. Actual citations, pointing back to the exact part of the document it pulled the answer from.

You can click those citations and it takes you right to the source. This means you’re not just trusting the AI blindly — you can verify. Which, if you work in any kind of professional environment, is very much appreciated.

The Part Where I Tell You About the Podcast Feature and You Don’t Believe Me

Okay. Deep breath.

NotebookLM has a feature called Audio Overview. You click a button. It takes your documents. And then it generates a podcast — like, an actual podcast with two AI hosts — discussing the content of your documents in a conversational way.

I know. I know what you’re thinking. And yes, it actually works.

It sounds like two real people having a genuine back-and-forth about whatever you uploaded. They ask each other questions, they add context, they even do that thing where one of them goes “that’s a really interesting point” in a way that somehow doesn’t sound completely robotic.

Now, is this useful for office work? Surprisingly, yes.

Imagine you have a long report you need to understand before a meeting tomorrow, but you also have to cook dinner, pick up the kids, and pretend to go to the gym. You generate the audio overview, you put your earbuds in, and you listen to a podcast about your actual documents while doing something else entirely.

You arrive at tomorrow’s meeting having actually absorbed the key points. Your colleagues are impressed. You say nothing. You just nod knowingly.

Real Office Scenarios Where This Thing Shines

The “I Have to Read This Entire Contract” Situation

Legal documents are the worst. They are long, they are dense, and they seem to be written by people who are physically allergic to plain English.

Upload the contract to NotebookLM. Ask: “Explain the key obligations on our side in plain language.” Or: “Are there any clauses here that could be a problem for us?”

You still get your lawyer to sign off on the important stuff (please do that), but at least you show up to that conversation actually knowing what’s in the document. Points for professionalism.

The “We Have Three Years of Meeting Notes and Nobody Knows Anything” Situation

This one is painfully common. Organizations accumulate documents the way offices accumulate branded pens — constantly, mindlessly, and with no real system.

Upload all those meeting notes into a notebook. Now you can ask: “What decisions were made about the website redesign project between January and March?” or “Who was supposed to handle the supplier contract renewal?”

Suddenly your organization’s institutional memory is actually accessible. Which is, if we’re being honest, not something most companies can say.

The “New Hire Who’s Drowning in Onboarding Docs” Situation

Remember your first week at a new job? You got handed approximately 400 documents, told to “read through these,” and then left alone with your thoughts and a very complicated org chart.

With NotebookLM, a new employee can upload all the onboarding materials and just… ask questions. “What’s the process for submitting expenses?” “Who do I contact for IT issues?” “What does this acronym mean?” (Every company has at least seventeen internal acronyms that nobody explains to anyone. Ever.)

It’s like having a patient colleague available 24/7 who has read every single document and won’t judge you for asking the same question twice.

The “I Have to Present This Research and I Barely Understand It” Situation

You’ve been given a stack of reports to turn into a presentation. The reports are full of data, analysis, and conclusions that are each individually understandable but somehow add up to a confusing mess.

Upload everything to NotebookLM. Ask it to identify the three most important takeaways. Ask it what the data actually suggests. Ask it to explain the parts you didn’t follow. Then use that to build your presentation like the confident, prepared professional you now appear to be.

The Study Guide Thing (Yes, Even for Work)

NotebookLM can auto-generate a few things for you from your source material: a summary, a list of key topics, suggested questions to explore, and a study guide with FAQs and a glossary.

Now, “study guide” sounds very school-ish, I know. But think about what that actually is: a quick-reference document that explains the key concepts from your source material, defines the important terms, and anticipates the questions someone might have.

For work, that translates to: briefing documents, quick-reference sheets for your team, onboarding summaries, pre-meeting prep notes.

It builds these in one click. The study guide for a 60-page report takes about 30 seconds to generate. The same thing done manually takes… let’s not even go there.

What It Won’t Do (Let’s Keep It Honest)

NotebookLM only knows what you tell it. It has no knowledge of the outside world, no access to the internet (unless you give it URLs as sources), and no awareness of anything that isn’t in your notebook.

So if you ask it “What’s the current market share of our top competitor?” and you haven’t uploaded any competitive analysis documents, it will tell you it doesn’t know. Because it doesn’t. And honestly? That’s a feature, not a bug. You always know exactly where the answer is coming from.

Also, the audio podcast feature, while genuinely impressive, is not going to replace an actual expert explaining things to you. It’s a good overview. It’s not a consultant. (Speaking of consultants — hi, I’m available.)

And one more thing: like all AI tools, it can occasionally get things slightly wrong or miss nuance. Use the citations. Click through. Verify the stuff that matters. Don’t skip that step.

How to Get Started Without Overthinking It

Here’s your no-pressure plan:

Step 1: Go to notebooklm.google.com. Sign in with your Google account. It’s free.

Step 2: Create a new notebook. Give it a name. Something descriptive like “Q1 Reports” or “Project Phoenix Docs” or honestly just “stuff” — NotebookLM doesn’t judge.

Step 3: Upload one document. Something you’ve been meaning to read but haven’t. A report, a policy doc, a long email thread you saved as a PDF.

Step 4: Ask it one question about that document.

Step 5: Be mildly amazed.

That’s it. You don’t need to set up anything complicated, connect it to other tools, or watch a two-hour tutorial on YouTube. Upload a document, ask a question. That’s the whole thing.

The Bottom Line

NotebookLM is one of those tools that sounds gimmicky until you actually use it, and then you wonder how you managed without it. It’s not trying to replace your brain or your judgment. It’s trying to handle the part of your job that involves wading through large amounts of text to find the information you actually need.

And let’s face it — most office jobs involve a lot of wading through large amounts of text.

So let the AI do the wading. You focus on the actual thinking, the decisions, the relationships, the creative stuff. The parts that actually need a human.

The 47-page Q3 strategy report can wait. NotebookLM’s got it covered.

💡 Pro Tip: Connect Google Drive and Keep It Fresh

Here’s a little bonus that most people miss. When you add a source directly from Google Drive — instead of uploading a PDF or pasting text — NotebookLM treats it as a live source.

That means if the document gets updated, NotebookLM knows about it. You just hit “sync” and the notebook refreshes with the latest version. No re-uploading, no starting over, no accidentally working from a document that’s three versions out of date.

For anything that changes regularly — a running project log, a shared team doc, a client brief that keeps getting revised — this is genuinely useful. Connect the Google Drive version once, and your notebook stays current automatically.

It’s a small thing, but once you start using it, going back to static uploads feels weirdly old-fashioned. Like sending a fax. Not that any of us still do that. Right? …Right?

Shay Stibelman is a digital marketing consultant based in Milan, Italy. He helps small and medium businesses get their digital act together — websites, strategy, tools, and the occasional existential crisis about whether to switch to a new CRM.

AI in Your Office? Yes, You Can Do This (Even If You’re Not a Tech Person)

Okay, so you’ve been hearing about AI for a while now. It’s everywhere. Your colleague keeps talking about it, LinkedIn is full of people claiming it changed their life, and your boss just sent a company-wide email about “embracing new technologies.” Sound familiar?

Here’s the good news: you don’t need to be a developer, a data scientist, or some kind of robot whisperer to actually use AI at work. You just need to know where to start.

So let’s start.

What Even Is AI in This Context?

Before we get into the tools, let’s clarify one thing. When we talk about AI for office work, we’re not talking about building robots or writing code. We’re talking about tools you can open in your browser, type something into, and get useful stuff out of.

Think of it like this: you’ve been Googling things for years, right? Using AI tools is not that different in spirit. You ask, it answers. The difference is that it actually understands what you’re asking — context, nuance, and all.

The most popular ones right now? ChatGPT, Claude (that’s Anthropic’s one), Gemini, Copilot. They’re all in the same family. Pick one and get going. You can always explore the others later.

Let’s Talk About What You Actually Do All Day

Here’s a little exercise. Think about the last three hours at work. What did you spend time on?

Writing emails? Summarizing meeting notes? Trying to figure out how to word that awkward message to a client? Looking something up and then spending 40 minutes in a Wikipedia rabbit hole?

Yep. That’s where AI comes in. And spoiler: those are exactly the kinds of things it’s best at.

Writing Emails (The AI Superpower Nobody Tells You About)

Let’s start with the obvious one, because it’s genuinely life-changing once you get used to it.

How much time do you spend staring at a blank email, trying to figure out how to say something that’s either awkward, sensitive, or just plain boring to write? If you’re like most people, a lot.

Here’s what you do instead: open your AI tool of choice, and just describe the situation out loud (or in writing, obviously). Something like:

“I need to write an email to a client who paid late again. I want to be firm but not rude. The invoice was 30 days overdue.”

Done. It gives you a draft. You read it, tweak it a little if you need to, and send. What used to take 20 minutes of internal debate now takes 3.

The key thing here is to not overthink the prompt. Talk to it like you’d talk to a helpful colleague. The more context you give it, the better the output.

Summarizing Stuff You Don’t Have Time to Read

Raise your hand if your inbox is a war zone. (All hands raised, I assume.)

Now add to that the PDFs, the reports, the long Slack threads, the meeting follow-up docs that are somehow 8 pages long for a 30-minute call.

AI is fantastic at taking long content and turning it into the three things you actually need to know. You paste the text in (or in some tools you can upload the file directly), and ask it to summarize. Or to pull out the action items. Or to tell you the three most important points.

This is not cheating. This is called working smart. Your grandparents called it “reading the executive summary first.” You’re just doing the same thing with a tool.

Meeting Notes? Let Someone Else Handle That

If you’ve ever been in a meeting while simultaneously trying to take notes, you know the problem: you can’t really do both well at the same time. You either miss what’s being said, or your notes are so disjointed they’re useless later.

Tools like Otter.ai, Fireflies, and Notion AI (if your team uses Notion) can record and transcribe your meetings automatically, and then summarize them for you. Action items, key decisions, who said what — all done.

Some of them even integrate directly with Zoom or Google Meet, so the whole thing is basically hands-off. You just… show up to the meeting and participate. What a concept.

Research Without the Rabbit Hole

Ever had to look something up for work and ended up 45 minutes later reading about the history of some completely unrelated thing? Yeah. The internet is a weird place.

AI can help here too. Instead of searching and then filtering through ten tabs, you can ask directly: “Explain how interest rates affect real estate prices in simple terms” or “What are the main differences between B2B and B2C sales approaches?”

You get a clear, direct answer. No ads, no clickbait headlines, no sponsored content trying to sell you something.

Now, a word of caution here: AI tools can sometimes get things wrong. They can confidently state something that’s slightly inaccurate or outdated. So for anything that actually matters — numbers, legal stuff, medical information — always double-check with a reliable source. Think of the AI as your first stop, not your final answer.

Creating Documents, Presentations, and Templates

Blank page syndrome is real, and it’s deeply unpleasant.

Whether you need to write a project brief, draft a proposal, build a presentation structure, or create a standard template for your team, AI can give you a solid first draft in seconds. And working from a draft — even an imperfect one — is infinitely easier than starting from nothing.

Try something like: “Create a simple project brief template for a small marketing campaign, including sections for objectives, target audience, budget and timeline.”

Boom. You’ve got something to work with.

Then you go in, customize it to your actual situation, and suddenly that thing that would have taken you an hour takes you 15 minutes. And you don’t have that specific kind of exhaustion that comes from staring at a blank document.

The Things AI Is Not Great At (Yet)

Alright, let’s keep it real for a second, because this stuff isn’t magic.

AI is not great at making judgment calls that require human context. It doesn’t know your company culture, it doesn’t know that your client is going through a rough patch and needs extra sensitivity, and it doesn’t know that your boss hates the word “synergy” with a passion.

It also doesn’t always know what’s happened recently in the world, depending on which tool you’re using and when its knowledge was last updated. So for breaking news or very current events, go to an actual news source.

And please, for the love of everything — don’t paste confidential company information into a free AI tool without checking your company’s policy on this first. Many companies have guidelines about what can and can’t go into external AI systems. Check before you paste.

Okay, Where Do You Actually Start?

Here’s a simple, no-stress plan for your first week with AI at work:

Day 1: Sign up for one tool. ChatGPT or Claude — both have free tiers, both are good. Don’t try three at once. Pick one.

Day 2: Use it to rewrite one email you’d normally agonize over. See how it feels.

Day 3: Paste in a long document or article and ask it to summarize it for you.

Day 4: Ask it to create a template for something you make regularly — a status update email, a meeting agenda, whatever.

Day 5: Just talk to it. Ask it to explain something you’ve never quite understood about your industry. You’ll be surprised.

By the end of the week, you’ll have a pretty good feel for what it can and can’t do, and you’ll start noticing other places where it fits into your workflow naturally.

One Last Thing

The people who get the most out of AI tools are not the ones who are the most tech-savvy. They’re the ones who are the most curious. The ones who experiment a little, ask weird questions, try things out without worrying about doing it “wrong.”

There’s no wrong way to use these tools. The worst that can happen is you get a bad answer and you try again with a better question. That’s it.

So go on. Sign up for something, ask it something, and see what happens.

Oh, and if your colleague is still emailing you 8-paragraph replies to simple yes/no questions? Maybe forward them this article.