WEBVTT

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I was sitting in my car this morning just staring

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at the dashboard and I had this weird thought

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it feels like most of us are sitting in the driver's

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seat of a Ferrari this machine engineered for

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you know absolute peak performance but we're

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driving it around a golf course at five miles

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an hour we have this massive engine under the

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hood but we're just we're afraid to do anything

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more than tap the accelerator that is wow that's

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painfully accurate, especially if you look at

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how the average person is using Gemini 3 .0 right

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now. We treat it like a search engine from, what,

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2010. Ask a question, get an answer, close the

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tab. But the reality is this thing is designed

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to run your life while you sleep. It's not a

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chatbot anymore. It's a workflow engine. Welcome

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to the deep dive. I want to slow things down

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today. We usually rush through the news, but

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today we have a piece of source material that

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I think requires us to actually, you know, pause

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and think. We are looking at a guide by Max Ann

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titled, You're Using Gemini 3 .0 Wrong. It was

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published just yesterday, February 8th, 2026.

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And the premise is exactly what you just said.

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The AI landscape has shifted right under our

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feet, and most of us just completely missed it.

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It really has. And that shift is subtle, but

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it's profound. We're not just generating text

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anymore. We are building deliverables. We're

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building systems. Right. So our mission today

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is to unpack seven specific hidden features that

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are buried, and I mean deep in the settings menu

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of Gemini 3 .0. These are features that, according

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to Ahn, change the whole game. But before we

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get to the how -to, I want to talk about the

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friction. Ann calls it the amnesia problem. This

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is the core argument of the whole guide, really.

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It definitely resonated with me, but I have to

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play devil's advocate for a second. Isn't amnesia

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just a feature of software? I mean, I open Word,

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it's blank. I open Excel, it's blank. Why is

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this a problem for AI? Because Word and Excel

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are tools you use to output your thoughts. The

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AI is supposed to be a partner that contributes

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thoughts. Think about it this way. If you hired

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a new executive assistant, a human being, and

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every single morning when you walked into the

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office, you had to reintroduce yourself. Hi,

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I'm Dave. I wrote a podcast. Here's our style

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guide. Here's who our sponsors are. And then

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the next day you do it all over again. Okay,

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yeah. I'd fire them by lunch. Exactly. Yeah.

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You'd never get any deep work done because you're

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spending 90 % of your energy just on onboarding.

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But that is the default setting for Gemini. It

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starts from zero. Every time. It has no memory

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of your style, your context, your projects. So

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real work, complex work, it exposes those gaps

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immediately. You feel that friction because you're

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just constantly repeating context. So if the

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intelligence, I mean, if the intelligence isn't

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the problem, but the memory is, what is the architectural

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fix here? Because I don't want to just give it

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all my data and hope for the best. The fix is

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that you have to stop treating it like a blank

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slate. You have to enable the persistent productivity

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system settings. You build a system of record

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inside the AI. Okay, let's get into the mechanics

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of that. This leads us to the first big feature,

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max and highlights, custom gems. Now, I'll be

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honest, gems sounds a bit like a mobile game

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currency to me. It does, doesn't it? But stick

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with me on this one. So in this context, it's

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something very different. Right. Think of a gem

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as a cloned version of the AI that you have trained

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for one very specific purpose. You aren't just

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opening a chat. You are defining three things.

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A roll. a task and an output can you walk us

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through a concrete example the guide mentions

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a meeting summary assistant but that sounds pretty

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basic i can already ask it to summarize meetings

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you can but how often do you get a summary that's

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actually you know usable usually it's too long

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or completely misses the point so with the gem

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you don't just paste notes and say summarize

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this you build the gem once you tell it roll

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You are my executive assistant. Task. When I

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paste meeting notes, extract key decisions, action

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items with owners, and any open questions. Output.

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Keep it under 300 words. Use bullet points. Okay,

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so it's a saved prompt. I feel like I've seen

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that before. It's more than a prompt. This is

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the part that people miss. You can upload reference

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files to the gem. Up to 10 documents. What kind

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of documents? Like a PDF of my company handbook

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or something? You could, but that's kind of the

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boring way to do it. The guide suggests something

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much smarter. Don't just upload a generic style

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guide. Upload the last five emails you wrote

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that you were actually proud of. Upload a project

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brief that got approved immediately. That's interesting.

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So you're giving it training data on your best

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work. Exactly. You're saying, don't just write

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like a professional. Write like me. on a good

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day so it mimics your specific voice your formatting

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even your shorthand That's a huge difference.

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Usually I find myself typing the same three paragraphs

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of instructions. You know, don't use emojis.

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Keep it brief before I even paste the content

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I want processed. Right. And that's that friction

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we talked about. With a gem, you click the preset

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in your sidebar, paste the notes, and it just

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executes. It already knows the rules before you

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type a single word. So effectively it becomes

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a clickable preset that houses your specific

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institutional knowledge. Precisely. All right.

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Let's pivot. So gems solve the issue of repeating

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instructions, but that doesn't solve the issue

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of the AI being isolated from your actual data.

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It still doesn't know what I'm working on unless

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I paste it in. Right. By default, Gemini is sitting

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in a clean room. It can't see your Gmail, can't

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see your drive. It doesn't know you have a dentist

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appointment at 2 p .m. It's smart, but it's blind

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to your actual life. And this brings us to feature

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number two, connecting Google Workspace. There's

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a toggle in the settings to change that. Yes,

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under Connected Apps. Once you flip that switch,

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you unlock the ability to use the at symbol to

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direct its attention. I have to admit, when I

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read this part of the guide, I was a little skeptical.

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It felt a bit gimmicky. But then I tried the

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example. at Gmail draft a reply to Sarah about

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the Q1 report. And what happened? Well, it worked.

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But more importantly, it didn't just write a

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generic Dear Sarah email. It actually found the

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thread. That's the whoa moment. It reads the

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thread to understand the context of what Sarah

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asked. Yeah. It looks at your previous replies

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to understand the tone you usually take with

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her. And then it drafts the response. It's not

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just writing text. It's performing an action

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based on history. And it's not just email. The

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guide lists at Drive to find files, at Calendar

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to check schedules, and even at Workspace to

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search everything at once. Think about the panic

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search. You know that feeling, right? You're

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on a Zoom call. Someone asks, hey, where did

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we land on that budget proposal from last Thursday?

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Oh, God. And you start sweating. You open three

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tabs. Is it in Drive? Is it in Slack? Is it in

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an email? Exactly. Instead of panic searching,

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you just type into the chat. At Workspace, find

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the deck from my Thursday client call. And it

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pulls it up. It just eliminates that cognitive

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load of, where did I put that thing? Does this

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fundamentally change the search behavior of the

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user? Yes, completely. It eliminates tab switching

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by bringing the data directly into the chat interface.

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Let's talk about the third feature, which I think

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is my favorite concept in the whole guide, scheduled

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briefings. Max Ann describes this as work happening

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while you sleep. This is where we move from being

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reactive to proactive. Usually you have to initiate

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the interaction with the AI. You ask, it answers.

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Schedule briefings flips that. You write a prompt,

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but you attach a time trigger to it. So give

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me the mechanics. How does that look in practice?

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Do I need to know how to code or something? No,

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and that's the beauty of it. It's surprisingly

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natural language. You literally type every Monday

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at 7 a .m., summarize my calendar, and highlight

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meetings that need preparation. I have to be

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honest here. I still wrestle with prompt drift

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myself. I have all these good intentions to ask

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for a summary or check my tasks, but I get busy

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The day starts and I forget to ask until I'm

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already late for the meeting. That is exactly

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what this solves. It automates the asking. Yeah.

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You can set it up for daily briefings on unread

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emails from your boss or a Friday 5 p .m. summary

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of everything you completed that week so you

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can log your hours. It shifts the dynamic completely.

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You aren't chasing the information. The information

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is waiting for you when you wake up. Precisely.

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It's the difference between pulling data and

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having data pushed to you. And I assume there's

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a dashboard for this. Or does it just run for

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hours? and I can never stop it. No, thankfully.

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There's a specific scheduled actions panel in

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the settings where you can pause or edit them.

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Okay, feature number four. This connects back

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to the memory issue we started with, but on a

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macro level. It's called personal instructions.

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Think of this as global memory. So we talked

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about custom gems, which are for specific tasks,

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like a summary assistant. Personal instructions

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are for you as a user. Across every interaction,

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every chat, every day. So this is where I tell

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it things like I'm a podcaster or I prefer American

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English spelling. Exactly. Instead of explaining

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I like bullet points or keep it professional,

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in every single chat, you save it once in the

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settings. The source lists examples like use

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a direct professional tone, keep replies under

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200 words, or I work in B2B sauce marketing.

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But hold on. People change. My job changes. If

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I set this up to say I'm a marketing manager

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and then I switch to being a, I don't know, a

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yoga instructor, isn't this going to screw up

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all my results? That's a valid fear. But the

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guide mentions a really important command here,

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the forget function. It's granular. You can tell

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Gemini, forget my memory about formatting preferences

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or forget that I work in marketing. And it wipes

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just that specific part while keeping the rest.

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That's smart. It lets the system evolve with

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you. What's the psychological benefit of this

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feature beyond just saving keystrokes? It stops

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the feeling of talking to a stranger. The tool

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adapts to your identity. We're going to take

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a quick break, but when we come back, we're going

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to look at the flip side of memory, when you

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don't want the AI to remember you, and a feature

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for the heavy researchers out there that bridges

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the gap between your notes and the internet.

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Stay with us. Mid -roll sponsor break placeholder.

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Welcome back to the Deep Dive. We're unpacking

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the hidden features of Gemini 3 .0 based on Max

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Anne's new guide. We just spent a lot of time

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talking about memory, context, and letting the

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AI know everything about you. But the guide brings

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up a really important counterpoint in feature

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number five, privacy. Right, because sometimes

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memory is a liability. It is. Sometimes I just

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want to ask a dumb question. Or I'm brainstorming

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a surprise party for my wife, and I don't want

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party planning to suddenly become part of my

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professional work profile. Exactly. Or you're

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researching a medical symptom. You don't want

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that influencing your future business drafts.

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The guide calls this temporary chat mode. It's

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essentially incognito mode for your workflow.

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Yes. When you toggle this on, the history is

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deleted after 72 hours. And more importantly,

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that data isn't used to train the model and it

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doesn't get saved to your long -term memory settings.

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It's a safety valve. You can ask the dumb questions

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or the sensitive questions without polluting

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your long -term profile. Exactly. It keeps your

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global memory clean. Now, feature number six

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is a heavy hitter. This is for the people who

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are doing deep work. The guide talks about the

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integration of Notebook LM. Now, I know Notebook

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LM as a separate app. I've used it to organize

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research papers. Is this different? It's the

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same brain, but now it's integrated directly

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into the interface. It's designed for when you

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need to synthesize a massive amount of information.

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The guide says you can attach a notebook with

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up to 300 sources, PDFs, videos, Google Docs,

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entire websites. That's a library. That's not

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just a file. That's a massive archive. It is.

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But the magic in Gemini 3 .0 is the combination.

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In the old world, you had your static notes in

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one app and live search engine in another. Here,

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you have both. So you can ask a question that

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bridges both worlds. Yes. The example in the

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guide is perfect, you can ask. What are the latest

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trends in AI video? That's a live web search.

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And then in the same prompt, add, and how do

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they compare to the research in my attached notebook?

00:11:47.700 --> 00:11:50.139
And that's the static knowledge base. That is

00:11:50.139 --> 00:11:52.700
incredibly powerful. You're cross -referencing

00:11:52.700 --> 00:11:55.019
the entire internet against your private archives

00:11:55.019 --> 00:11:58.179
in seconds. It creates a synthesis that neither

00:11:58.179 --> 00:12:00.820
tool could do on its own. The live web doesn't

00:12:00.820 --> 00:12:02.440
know your notes, and your notes don't know what

00:12:02.440 --> 00:12:04.750
happened five minutes ago. Putting them together

00:12:04.750 --> 00:12:07.370
is where the insight happens. So it essentially

00:12:07.370 --> 00:12:09.370
bridges the gap between your private archive

00:12:09.370 --> 00:12:12.669
and the public internet. Exactly. Deep structured

00:12:12.669 --> 00:12:15.470
research meets real -time data in a single answer.

00:12:15.649 --> 00:12:18.190
We are down to the final feature, number seven,

00:12:18.370 --> 00:12:21.590
and the bonus. This is about moving beyond text.

00:12:21.710 --> 00:12:25.490
We're talking about canvas and formulas. I feel

00:12:25.490 --> 00:12:27.409
like canvas is a term that gets thrown around

00:12:27.409 --> 00:12:29.509
a lot in tech. What does it mean here? Canvas

00:12:29.509 --> 00:12:32.600
is a shift in interface. Usually you chat, you

00:12:32.600 --> 00:12:35.820
get a column of text. It's linear. But if you're

00:12:35.820 --> 00:12:37.620
building a presentation or a coding project,

00:12:37.980 --> 00:12:41.059
linear text is terrible. Canvas opens a dedicated

00:12:41.059 --> 00:12:43.740
window on the side to build actual artifacts.

00:12:44.139 --> 00:12:47.470
The guide mentions asking it to... create a 10

00:12:47.470 --> 00:12:49.690
-slide presentation. And it doesn't just outline

00:12:49.690 --> 00:12:52.370
the slides in text. It builds the slides. It

00:12:52.370 --> 00:12:54.429
handles the formatting, the structure, the flow.

00:12:54.610 --> 00:12:57.049
And because it's a dedicated window, you can

00:12:57.049 --> 00:12:59.070
edit the text directly, just like you would in

00:12:59.070 --> 00:13:01.250
a document editor, while still chatting with

00:13:01.250 --> 00:13:03.470
the AI to make big changes. So I can highlight

00:13:03.470 --> 00:13:05.429
slide three and just say, make this punchier.

00:13:05.590 --> 00:13:08.360
Exactly. It's collaborative editing, not just

00:13:08.360 --> 00:13:11.039
command and response. It also mentions building

00:13:11.039 --> 00:13:14.340
web apps or interactive quizzes from dense PDFs.

00:13:14.720 --> 00:13:18.259
Turn this policy document into a quiz and it

00:13:18.259 --> 00:13:20.220
builds a playable interface. It's moving from

00:13:20.220 --> 00:13:22.240
tell me to make this. Which brings us to the

00:13:22.240 --> 00:13:25.360
bonus feature AI formulas in Google Sheets. Oh

00:13:25.360 --> 00:13:27.620
man, this one hits home. I live in spreadsheets

00:13:27.620 --> 00:13:30.580
and they are usually a mess. We all do. This

00:13:30.580 --> 00:13:33.299
feature is a superpower for messy data. It's

00:13:33.299 --> 00:13:36.360
the AI function. Walk me through a painful scenario.

00:13:36.899 --> 00:13:38.860
Let's say I just got back from a trade show.

00:13:39.159 --> 00:13:42.899
Okay, so you have a CSV export of 500 people.

00:13:43.100 --> 00:13:45.299
The names are mixed with the job titles. Some

00:13:45.299 --> 00:13:47.740
are in all caps, some are lowercase. And the

00:13:47.740 --> 00:13:50.379
interests column is just a paragraph of text.

00:13:50.940 --> 00:13:53.580
Usually cleaning that up is two hours of manual

00:13:53.580 --> 00:13:56.740
copy pasting or writing complex nested formulas

00:13:56.740 --> 00:13:58.980
that break if you breathe on them wrong. Right,

00:13:59.039 --> 00:14:00.840
and I usually just give up and do it manually.

00:14:01.059 --> 00:14:04.029
With this, you just type AI. Extract the job

00:14:04.029 --> 00:14:07.049
title and format as title case A2 and drag it

00:14:07.049 --> 00:14:09.929
down the column. It processes every row individually

00:14:09.929 --> 00:14:13.049
using the LLM. That is wild. It treats every

00:14:13.049 --> 00:14:15.990
cell like a tiny prompt. Exactly. You can use

00:14:15.990 --> 00:14:18.330
it to translate, to extract sentiment from customer

00:14:18.330 --> 00:14:21.809
reviews, to reformat dates, anything. But there's

00:14:21.809 --> 00:14:23.889
a catch, right? It can't do a million rows instantly.

00:14:24.169 --> 00:14:26.210
Correct. The guide notes that it currently processes

00:14:26.210 --> 00:14:29.090
only the first 200 cells at a time due to usage

00:14:29.090 --> 00:14:32.350
caps. Still, for a lot of tasks, 200 rows of

00:14:32.350 --> 00:14:34.340
automation... thinking is a lot better than zero.

00:14:34.519 --> 00:14:36.940
Absolutely. It turns a two -hour headache into

00:14:36.940 --> 00:14:38.960
a two -minute drag and drop. So let's zoom out.

00:14:39.039 --> 00:14:41.879
We've covered seven features, custom gems, workspace

00:14:41.879 --> 00:14:44.299
connections, scheduling, personal instructions,

00:14:44.620 --> 00:14:49.820
privacy, Newtbook LM, and Canvas. What is the

00:14:49.820 --> 00:14:52.240
big idea here? If you take one thing away from

00:14:52.240 --> 00:14:55.259
this deep dive, what should it be? The big idea

00:14:55.259 --> 00:14:58.080
is the shift in mindset. We are moving from a

00:14:58.080 --> 00:15:00.460
search engine mindset to a productivity system

00:15:00.460 --> 00:15:03.710
mindset. The search engine is passive. You go

00:15:03.710 --> 00:15:06.049
to it when you have a question. The system is

00:15:06.049 --> 00:15:08.149
active. It surrounds you. It feels like the goal

00:15:08.149 --> 00:15:10.429
is to set up a system that remembers how you

00:15:10.429 --> 00:15:12.230
work so you don't have to repeat yourself. That's

00:15:12.230 --> 00:15:14.730
it. Automation in context. Yeah. If you were

00:15:14.730 --> 00:15:18.309
repeating yourself to your AI in 2026, you were

00:15:18.309 --> 00:15:20.809
using it wrong. The friction isn't the tool's

00:15:20.809 --> 00:15:23.110
intelligence. It's the user's default settings.

00:15:23.710 --> 00:15:25.590
Maxanne ends the guide with a bit of a challenge.

00:15:25.629 --> 00:15:28.269
She says, stop reading. Start setting this up.

00:15:28.559 --> 00:15:30.799
It's good advice. It feels a little unfair how

00:15:30.799 --> 00:15:33.139
much time this saves once it's running, but you

00:15:33.139 --> 00:15:34.919
have to do the initial lift. You have to go into

00:15:34.919 --> 00:15:36.460
the settings, turn on the workspace connection,

00:15:36.659 --> 00:15:38.899
and write your first gem. It's the difference

00:15:38.899 --> 00:15:41.419
between driving the Ferrari in first gear and

00:15:41.419 --> 00:15:44.740
finally shifting up. Well said. Thanks for listening.

00:15:44.899 --> 00:15:47.460
Go fix your settings. We'll see you in the next

00:15:47.460 --> 00:15:48.980
deep dive. Thanks, everyone.
