WEBVTT

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Well, the reality of 2026 is actually quite stark.

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Beat. The real productivity gap isn't between

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those who use AI and those who don't. It is between

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those who just chat with it and those who architect

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an autonomous digital workforce. That is exactly

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the dividing line. I mean, it changes absolutely

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everything about how we work. Welcome to the

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deep dive. We are really glad you are here. Today,

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our mission is to unpack a comprehensive 2026

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tutorial on this topic. We are exploring the

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multi -layered Claude ecosystem. Okay, let's

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unpack this. We will explore the three distinct

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rooms of this system. We have chat, co -work,

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and code. We will dive into the power add -ons.

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Those are skills, connectors, and plugins. And

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finally, we will show you how to push this AI

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further. It can manipulate your local files.

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You can run automated schedules while you sleep.

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It really is a massive shift in perspective.

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You know, people often treat the system as just

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a single website. You log in, type a question,

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get an answer. But that is fundamentally incorrect.

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It is actually a triple product strategy. Right.

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It's not just a single conversational interface

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anymore. Exactly. Using only the chat window

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is incredibly limiting. It is like buying a massive

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professional toolkit. But then, you only use

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one small screwdriver. You are missing out on

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incredible power. The ecosystem is actually three

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distinct rooms, and they all share the exact

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same underlying brain. But they serve very different

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functional purposes. Yeah, completely different.

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Chat is for fast... transient tasks, you know,

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things under 10 minutes. Cowork is for long -term

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project persistence. It actually remembers things.

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And code is for local software development. But

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here is the critical step for any of this. You

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absolutely must download the desktop application.

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I have to pause you there. Why is the web browser

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not enough anymore? We have been doing everything

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in the cloud for years. What fundamentally changes

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for power users? Well, browsers are limited by

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design. They are walled gardens. They protect

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your computer, which is good for security. But

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the desktop application unlocks agentic features.

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Those are tools letting AI act without constant

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human prompting. The desktop app lets the AI

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interact directly with your file system. It bridges

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the gap between the cloud and your actual machine.

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So real automation needs the desktop app to actually

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touch your local files. Right. And without that,

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you are just talking to a screen. Establishing

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that we need the whole toolkit is step one. Now

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we should look at the most familiar room first.

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We need to uncover its hidden mechanics. That

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brings us to the chat product. This is where

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everyone naturally starts. It is built purely

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for speed and immediate answers. Think of it

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as your everyday workspace. It is highly reactive.

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You draft quick emails here. You summarize uploaded

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PDFs. You can parse dense financial spreadsheets.

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You drop a raw CSV file in, and it reads it instantly.

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But chat has a major structural problem. It forgets.

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Once you start a new conversation, your custom

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instructions vanish. That is exactly why they

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built the project's feature. Projects are fascinating.

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Think of a project as a highly sterile clean

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room. Like a decontamination chamber for your

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data. Precisely. You can uplay your specific

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brand guidelines into this clean room. You establish

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very rigid custom instructions. You might say,

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always use a formal tone and never use emojis.

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And crucially, those rules stay trapped inside

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that specific room. Yes. When you leave that

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project to ask a random question, the main system

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completely forgets those strict rules. It doesn't

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bleed over. It keeps your main chat perfectly

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clean. I have a vulnerable admission here. I

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still wrestle with prompt drift myself. I keep

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forgetting to use projects and losing my custom

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rules. Beat. It just gets messy so fast. Oh,

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we all do it. You start asking about dinner recipes

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in your work thread, suddenly the AI is confused.

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But inside a project, the system also quietly

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builds a background memory file. It learns user

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details over time. It just happens automatically

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behind the scenes. And then we have artifacts.

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This feels like a huge leap forward in the interface.

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Artifacts are essentially visual mini -apps.

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They are built right in your browser cab. Like

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asking it to build an email generator with clickable

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tone buttons. Exactly. Instead of just giving

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you the text of an email, it writes the underlying

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code. Then it renders the interface right there

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on your screen. You can click around and use

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it immediately. But wait, if it is building software,

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how do artifacts differ from actual programs

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installed on my computer? They are entirely temporary.

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They only live inside your current web browser

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tab. They do not save to your local machine at

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all. The moment you close the tab, the interface

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is gone. Got it. Artifacts live in the browser,

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not on your actual hard drive. Correct. So chat

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is perfect for these one -off tasks. But what

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happens when you need the machine to learn? What

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if you do the exact same data entry task every

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single Monday? That is when chat becomes highly

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inefficient. You don't want to type the same

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prompt every week. We need to transition from

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a casual user to a system architect. We need

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repeatable automation. This brings us to the

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power add -ons. Skills, connectors, and plugins.

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These separate the casuals from the professionals.

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Let's start with skills. I like to use the analogy

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of a physical filing cabinet. That is a perfect

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way to visualize it. The AI only reads the detailed

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step -by -step instructions when the specific

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label is called upon. It keeps the whole system

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moving fast. Right. It does not read the entire

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cabinet every single time you say hello. It just

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grabs the one specific file you request. And

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the mechanism to make a skill is remarkably intuitive.

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You do it naturally right in the chat. You just

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run a perfect prompt until it works. Then you

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literally tell the AI, please package these exact

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steps into a reusable skill. It is that simple.

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It writes its own documentation. Next, we have

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connectors. Connectors give the AI actual read

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and write access to other applications. Let's

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break that down so it can read my unread messages.

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Yes. That is a basic read action. Or it can write

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new tasks directly to your digital to -do list.

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That is a write action. It essentially builds

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a bridge from the AI to your existing tools.

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Wait, so if I have a connector reading my inbox

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and a skill drafting replies, do I have to manually

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trigger them both every time? Yeah. Because that

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sounds exhausting. That is exactly why plugins

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exist. Plugins are bundles. They bundle many

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skills and connectors together for entire job

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roles. You use simple slash commands to activate

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them. By typing forward slash skill creator.

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Exactly. You type that command and bypass typing

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long explanations, the AI just interviews you,

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it asks what you want to achieve, and it builds

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the skill automatically. But where are these

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skills permanently stored so they don't vanish?

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You just said chat forgets everything when you

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close the tab. If you make them in normal chat,

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they do disappear. You must save them into your

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dedicated workspace. They live permanently inside

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the Cowork or Code areas. Skills vanish in regular

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chat. They need to be saved in Cowork or Code.

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Exactly. Since these custom skills need a permanent,

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stable home, it is time to transition. We have

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to enter the second room of the ecosystem. This

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room is designed entirely for long -term memory.

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This is Cowork. If chat is a whiteboard you erase

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every day, Cowork is a dedicated office. It is

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about setting up a workspace that remembers your

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decisions from yesterday. The first requirement

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here is purely structural. You absolutely must

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create dedicated, specific, local folders on

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your computer. Like a folder named Q3 Marketing

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Presentation. Yes. No giant catch -all folders.

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Do not just give it access to your entire documents

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folder. That is a massive mistake. The AI needs

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a clear, isolated boundary to read and write

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files safely. And inside that specific folder,

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there is a very critical file. Let's talk about

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how it actually works. You were talking about

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the Claude .md file. This is essentially the

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memory core for your project. When you sleep

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and shut down your computer, the active session

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ends. But the next morning, the system boots

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up and reads that Claude .md file first. It parses

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the text to rebuild its context window. It remembers

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everything from the day before. Two -sec silence.

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Think about how powerful that is. The context

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is perfectly preserved. It knows exactly where

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you left off. And then we add the schedule feature

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into the mix. This turns the A into a true autonomous

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agent. You can set it to run entirely without

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you. Whoa, Pete. Imagine waking up and the AI

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has already checked your calendar, scanned your

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inbox, and drafted a clean 8 a .m. briefing.

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What's fascinating here is the fundamental shift

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in our daily behavior. You are no longer sitting

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down and doing work to create an output. You

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are simply reviewing the AI's multi -step autonomous

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work. It is a profound change in our human relation

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to software. But I have to play devil's advocate

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here. What about the danger of the AI putting

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files in the wrong place? If it is running while

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I sleep, couldn't it mess up my system? That

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comes right back to the folder structure we just

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discussed. Cowork is strictly restricted to the

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specific folder you assign to it. It physically

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cannot wander around your hard drive. That's

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why isolated folders are crucial. It keeps the

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AI from messing up your desktop. Precisely. Control

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the environment and you control the agent. It

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is entirely safe if you set the boundaries. Mid

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-roll sponsor read. Okay, we have covered chat

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and co -work, but there is a ceiling to dragging

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and dropping files. If you actually need to build

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entirely new tools from scratch, you need more

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access. Which leads us to the third room. We

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are entering the most advanced, highly technical

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space. This is building software with code. Claude

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code is a completely different beast. Here the

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AI is no longer contained in a neat browser window.

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It types directly into your computer's terminal.

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Let's clarify how that works. When you give it

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terminal access, you are bypassing the visual

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interface entirely. It is typing raw commands

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directly into your operating system's brain.

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Yes, it is pure text -based execution. Cloud

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Code can install software dependencies locally.

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It can spin up local servers. It can build complex

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programs from scratch. I mean, it is essentially

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a senior engineer sitting inside your machine.

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But you have to choose the brain for this engineer.

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You have to actively select. the model it uses.

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Model selection is absolutely critical here.

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Models are just the specific neural networks

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processing your request. You have three main

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choices depending on the test. Sonnet 4 .6 is

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the first one. Sonnet 4 .6 is your best overall

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choice. It beautifully balances speed and extremely

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high intelligence. Most of the time, for everyday

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coding, you use this. Then there's Opus 4 .6.

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Why wouldn't I just use the smartest one all

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the time? Because Opus 4 .6 is heavy, it is computationally

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expensive, it is noticeably slow, you only deploy

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Opus for incredibly complex, deeply difficult

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logic problems that nothing else can solve. And

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finally, we have Haiku 4 .5. Haiku 4 .5 is incredibly

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fast and light. You use it for simple, repetitive

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tasks like formatting code. It saves energy and

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runs almost instantly. And beautifully, the system

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allows you to switch between these models mid

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-conversation. Now, because this tool writes

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files directly to your hard drive, we have to

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talk about permissions. Giving an AI access to

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my terminal sounds like a cybersecurity nightmare.

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How is this actually safe? Well, it is a valid

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concern. Beginners absolutely must leave permissions

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toggled on. The system will explicitly ask you

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before it runs any command. It pauses and waits

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for your human approval. It is safe because you

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are the gatekeeper. But experts can turn those

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permissions off for pure unhindered speed. That

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seems like a huge risk of accidental file deletion.

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It is a massive risk. If permissions are off,

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it will just execute its own logic. If it makes

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a mistake or misunderstands a prompt, the file

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is simply gone. So should a non -coder ever turn

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those terminal permissions off? Never. The risk

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is simply too high for the average user. Do not

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touch that toggle. Keep permissions on. The speed

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isn't worth accidentally deleting your whole

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project. Right. And there is one more advanced

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feature here we should touch on. Remote control.

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Checking your computer's progress via your phone

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browser. It sounds amazing in theory. It sounds

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great, but practically it has severe limits.

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Your physical computer terminal must stay open.

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Your laptop cannot go to sleep or lose Wi -Fi.

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There is a strict 10 -minute network timeout.

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And frankly, it requires the expensive $100 a

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month max plan. That feels very restrictive for

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an autonomous future. It is restrictive. For

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real, heavy lifting while you're away, a server

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-based agent is the superior alternative. It

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runs entirely in the cloud 24 -7 without relying

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on your physical laptop. If building local software

00:12:23.879 --> 00:12:26.639
via terminal feels too intense, that is completely

00:12:26.639 --> 00:12:28.879
okay. Not everyone needs to be a developer. There

00:12:28.879 --> 00:12:31.340
are much more familiar places to deploy this

00:12:31.340 --> 00:12:33.940
intelligence. Exactly. We are moving beyond the

00:12:33.940 --> 00:12:36.460
desktop application now. We need to weave this

00:12:36.460 --> 00:12:39.080
AI into the mundane tools you already use every

00:12:39.080 --> 00:12:41.169
single day. Let's start with the mobile application.

00:12:41.470 --> 00:12:44.009
The mobile app is excellent for native file access.

00:12:44.269 --> 00:12:47.110
You can upload photos or documents natively stored

00:12:47.110 --> 00:12:48.990
on your phone while you are commuting on the

00:12:48.990 --> 00:12:51.690
train. It seamlessly syncs all that data back

00:12:51.690 --> 00:12:54.029
to your main co -work workspace. And then there

00:12:54.029 --> 00:12:56.950
is the Chrome extension. This has a feature that

00:12:56.950 --> 00:12:59.610
legitimately blew my mind. You're talking about

00:12:59.610 --> 00:13:02.850
the Teach Claude button. Yes. How does a text

00:13:02.850 --> 00:13:06.009
-based AI even do this? You click it. and the

00:13:06.009 --> 00:13:08.570
machine literally watches your mouse movements.

00:13:09.029 --> 00:13:10.970
It watches exactly where you click on a screen.

00:13:11.129 --> 00:13:13.870
It is mapping the DOM elements. Those are the

00:13:13.870 --> 00:13:16.289
structural building blocks of a web page. It

00:13:16.289 --> 00:13:18.669
takes rapid screenshots, maps those elements,

00:13:18.870 --> 00:13:21.090
and translates your X and Y coordinates into

00:13:21.090 --> 00:13:23.629
an executable script. So it learns how to navigate

00:13:23.629 --> 00:13:27.149
complex internal company websites just by observing

00:13:27.149 --> 00:13:29.929
you do it once. It converts your visual human

00:13:29.929 --> 00:13:32.610
actions into a repeatable automated script. It

00:13:32.610 --> 00:13:35.210
is incredible technology. And finally, we have

00:13:35.210 --> 00:13:37.909
Excel integration. We all use spreadsheets. It

00:13:37.909 --> 00:13:39.850
is the universal language of business. Co -opting

00:13:39.850 --> 00:13:42.529
directly into Microsoft Excel gives the AI very

00:13:42.529 --> 00:13:46.029
special localized powers. Imagine a Tuesday morning.

00:13:46.309 --> 00:13:49.129
You drop in raw messy CSV data. What happens?

00:13:49.450 --> 00:13:52.450
It can physically highlight cells. It can write

00:13:52.450 --> 00:13:56.190
complex VO up formulas for you. It can conditionally

00:13:56.190 --> 00:13:59.210
change row colors based on subtle data trends.

00:13:59.509 --> 00:14:01.850
It can generate simple pie charts of your spending

00:14:01.850 --> 00:14:05.639
habits instantly. But how does this Excel integration

00:14:05.639 --> 00:14:08.759
differ from just asking for a formula in chat?

00:14:09.039 --> 00:14:11.200
Well, in chat you get the text. You have to copy

00:14:11.200 --> 00:14:13.559
the formula, open Excel, find the right cell,

00:14:13.600 --> 00:14:16.299
and paste it yourself. The integration does the

00:14:16.299 --> 00:14:19.159
physical work for you. It manipulates the spreadsheet

00:14:19.159 --> 00:14:22.279
directly via an API. It actually executes the

00:14:22.279 --> 00:14:24.159
math and builds the charts right inside your

00:14:24.159 --> 00:14:26.659
spreadsheet. Exactly. It completely removes the

00:14:26.659 --> 00:14:28.639
friction between getting the answer and applying

00:14:28.639 --> 00:14:31.139
the answer. So what does this all mean? If we

00:14:31.139 --> 00:14:33.720
connect this to the bigger picture, We are witnessing

00:14:33.720 --> 00:14:36.879
a profound evolution. We are building complex

00:14:36.879 --> 00:14:39.879
automated systems now. We are using customized

00:14:39.879 --> 00:14:43.000
skills. We are establishing specific local folders.

00:14:43.200 --> 00:14:45.379
We are deploying scheduled agents to do the heavy

00:14:45.379 --> 00:14:48.039
lifting. It is ultimately about buying back your

00:14:48.039 --> 00:14:51.000
own time. By architecting this digital workforce,

00:14:51.460 --> 00:14:55.080
you are saving hours. every single day. You automate

00:14:55.080 --> 00:14:57.980
the routine algorithmic tasks so you can actually

00:14:57.980 --> 00:15:01.779
focus on deeply human important work. But we

00:15:01.779 --> 00:15:04.179
want to encourage you to just start small. Do

00:15:04.179 --> 00:15:07.399
not try to build a massive complex software project

00:15:07.399 --> 00:15:09.580
today. That will just lead to immediate frustration

00:15:09.580 --> 00:15:12.429
and burnout. Start with just one thing. Create

00:15:12.429 --> 00:15:15.690
one isolated project room for a specific client.

00:15:16.029 --> 00:15:19.590
Or package just one repetitive weekly email task

00:15:19.590 --> 00:15:22.429
into a single skill. Take it one highly intentional

00:15:22.429 --> 00:15:24.450
step at a time. It stacks up quickly. You build

00:15:24.450 --> 00:15:26.370
the foundation and the automation goes from there.

00:15:26.490 --> 00:15:27.990
And I want to leave you with one final thought

00:15:27.990 --> 00:15:30.330
to mull over today as you look at your own workflows.

00:15:30.929 --> 00:15:33.629
Two secs silence. If an AI system can now learn

00:15:33.629 --> 00:15:36.350
a complex multi -step task just by watching where

00:15:36.350 --> 00:15:38.850
your mouse clicks on a screen, how long until

00:15:38.850 --> 00:15:40.960
our job description aren't defined by the specific

00:15:40.960 --> 00:15:43.039
software we know how to use, but by the entirely

00:15:43.039 --> 00:15:45.580
new autonomous systems we can imagine building.

00:15:45.860 --> 00:15:46.779
Out T -Row music.
