WEBVTT

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You probably think of Claude as, you know, a

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really smart chatbot, great for summaries, brainstorming

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maybe. But that picture, it's changing a lot.

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Yeah, it's really not just about chatting anymore.

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Picture this. You give it some raw sales numbers,

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maybe just in a text file, and boom, it spits

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out a proper Excel spreadsheet, calculates everything,

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puts in a chart all from one prompt. Yay. And

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that's the shift we're really digging into today.

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From a thing you talk to to something that actually

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does stuff, Welcome to the deep dive. We're going

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to unpack these pretty major updates that are

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pushing Claude right into your workflow, like

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seriously. And if you're building things, managing

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projects, or even just trying to wrangle data

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faster, you want to get a handle on this. We'll

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cover how it tackles real -world scheduling,

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how it can directly create and edit files, these

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new connectors for other apps, and yeah, the

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crucial privacy stuff. There's a deadline involved

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there too. Okay, let's start with that real -world

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integration. Clawdaz, like a super powered personal

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assistant, managing your schedule across different

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phone apps. Yeah. And what's really cool here

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is how it handles multiple steps across different

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tools, calendar, maps, reminders, you name it.

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You make one request, and it sorts out a complex

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task, cuts down on all that app switching we

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constantly do. OK, give me an example, like a

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meeting. Sure. You could just say, schedule a

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4 PM meeting tomorrow at a coffee shop nearby.

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Simple enough, right? But then you add, oh, and

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add a note to bring the project docs. So Quad

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checks your calendar for 4 p .m. If you're booked,

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it might say, hey, how about 4 .30? Then it finds

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coffee shops near you, puts the chosen one in

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the calendar event, adds your note, and even

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sets a 30 -minute reminder on your phone. It's

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juggling multiple things at once. Okay, that's

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pretty slick for a simple meeting. What about

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something more involved, like planning something

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for the weekend? You can definitely scale it

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up. Try this. Plan a picnic with Min this Saturday.

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Am I free between 9 a .m. and noon? Find a park

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nearby that has a big grassy area, send Min the

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invite via email, and create a packing list for

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me in my notes app. Wow, okay. That's checking

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availability, location scouting, communication,

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and task management all from one request. Exactly.

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Calendar, maps, email, notes app. It's coordinating

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across them. So, probing that a bit. How does

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this multi -step capability fundamentally change

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how you interact with the AI? What's the core

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shift? I think fundamentally it elevates the

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AI. It's no longer just fetching information,

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it's actively coordinating tasks across your

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digital life. Yeah, it really transforms it into

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a powerful multi -app personal assistant beat.

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Okay, so if it can manage my schedule and reminders

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that well... What about the actual work associated

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with those meetings? The documents, the data?

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Perfect transition, because that's the next huge

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step. Moving beyond just managing time to actually

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manipulate the work products, we're talking direct

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file creation and editing. Think Word docs, Excel

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sheets, PowerPoint slides, even PDFs right there

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in the chat. Seriously, no more copying and pasting

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stuff back and forth. That's huge. It's not just

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faster. It feels like it could, you know, democratize

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some skills. Like someone who isn't an Excel

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whiz could suddenly generate complex reports.

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That changes things. Totally. Take that Excel

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power. You upload, say, a simple text file, just

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product names, quantity sold. You tell Claude,

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calculate revenue. Product A costs 50 ,000 VND.

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And maybe specify prices for others. And it just...

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Builds the spreadsheet those the whole thing

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it inserts the formula for revenue quantity times

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price Yeah, it calculates the total revenue at

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the bottom and get this It can even put a column

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chart like revenue over time onto a completely

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separate sheet within that same Excel file That's

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structured work without ever opening Excel. Okay.

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What about other formats like word? Similar idea.

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Imagine you have a bunch of messy notes, just

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brain -dumped text about, say, climate change

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impacts in the Mekong Delta. You feed that to

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Claude and ask for a structured essay. It can

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generate a title page, build an automatic table

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of contents, and apply proper heading one, heading

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two styles throughout the document. OK. I'm thinking

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about the hours I've wasted fighting with formatting.

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That sounds amazing. PowerPoint, too. Yep. You

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could give it a longer report document and, say,

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summarize this into a seven -slide presentation

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draft, maybe specify title slide. Goals, tasks,

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results, maybe with a simple chart in there.

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Challenges? Next steps? Thank you. You could

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even suggest a basic design, like a blue and

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white theme. So it's not just content, it's structure

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and basic design as well, and PDFs. Those are

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always tricky. Right. But now, you could point

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it to a specific page in a long PDF, say page

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27 of a 50 page report, and tell it... Extract

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the table called monthly user statistics from

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this page and put that data into a new Excel

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file. It can isolate specific data within a PDF

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and move it. It can even help fill out PDF forms

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now. Whoa, just thinking about that. Imagine

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scaling that. A billion queries where no one

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has to copy, paste, or reformat. The amount of

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friction that removes is massive. Yeah, it's

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a game changer for workflow. So if we boil it

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down, what's the single biggest time saver compared

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to the old way? It seems like skipping all that

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manual formatting and structuring lets you jump

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straight to refining the actual content much,

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much faster. Exactly. You get to the substance

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quicker. All right. So Claude can manage my time,

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create my documents. What about connecting it

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to the other tools I already use every day? That

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brings us to connectors. This is the piece that

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integrates Claude into your wider digital workspace.

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It's built on something Anthropic calls the model

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context protocol, or MCP. MCP Model Context Protocol.

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What does that mean in plain English? Think of

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it like a very specific secure key or a handshake.

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When you give permission, Claude uses MCP to

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ask another service like Google Drive or Slack

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for just the specific piece of information it

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needs for your request. It doesn't get free reign

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over your whole account. It gets temporary, limited

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access for that task based on the permissions

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you set up. OK, so you control the access, and

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there's a place to manage this. Yep, there's

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a connectors directory. It lists the available

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apps, things like Google Drive, Slack, Notion,

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Canva are examples. You connect them there. Makes

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sense. So how would you use this day -to -day?

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Give me some practical examples. OK, let's say

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you use Notion for project management. You could

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ask Claude, check my Q4 marketing plan board

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in Notion, find all the tasks assigned to me

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that are currently marked in progress, and list

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them. You don't have to go filter yourself. Cloud

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uses the connector to fetch that specific info.

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Right. It does the digging. What about cloud

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storage? Google Drive? Sure. You could say, search

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my monthly reports folder in Google Drive. Find

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any documents with revenue in the title from

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the last three months. Read them and give me

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a summary of the key business points. It finds,

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reads, and synthesizes information across multiple

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files. That could save a lot of searching. Slack,

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can it help with catching up? Definitely. You

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could ask, check the hashtag general announcements

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channel in Slack for the last 24 hours. Did I

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miss any important updates? It can scan and flag

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things for you. In Canva, can it actually make

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designs? It can draft them. So you might say,

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generate a draft Instagram post designing Canva

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using my promo template. The tech should say

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30 % off all products. It kicks off the process

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for you. OK, these sound incredibly useful. Is

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there a catch? Are they available to everyone?

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Ah, good question. That's the main limitation

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right now. Most of these connectors are tied

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to the paid plans pro team enterprise. And sometimes

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full functionality might require you to be using

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the desktop app rather than just the web interface.

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So you need to check your plan details. Got it.

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Paid feature, mostly. OK, with all this power

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accessing calendars, creating files, connecting

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to other apps, the conversation naturally turns

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to privacy and data control. That feels more

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critical than ever. Absolutely vital. And Anthropic

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has just updated its Terms of Service and Privacy

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policy, giving users a much clearer choice about

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how their data is used, specifically for training

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future AI models. OK, this sounds important.

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What's the choice exactly? So for users on Free,

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Pro, and Max plans, you now have a direct option.

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You can explicitly opt in or opt out of letting

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Anthropic use your conversations and any code

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you work on with Claude to train their future

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models. Right. So if I opt in, What happens then?

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If you opt in, your data can be used for training

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purposes. Anthropic says they might store this

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data for up to five years. Important note, if

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you delete a specific conversation, that particular

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deleted data won't be used for training going

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forward. OK. And if I opt out? Opting out means

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the previous policy basically stays in effect

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for you. Your data is stored for a much shorter

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period, generally around 30 days, mainly for

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safety and monitoring. And crucially, your conversations

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will not be used to train their models. This

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is the more confidential setting, the one you'd

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likely want if you're handling sensitive business

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or client information. That seems pretty clear.

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Opt -in means they train on your data. Opt -out

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means they don't. But you mentioned a deadline

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earlier. Yes, this is the really critical part,

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especially for existing users. You need to make

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this opt -in or opt -out choice by September

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28, 2025. September 28th, 2025. Why is that date

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so important, particularly for people on paid

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plans who might have sensitive data flying around?

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What's the risk of missing it? The risk is the

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default. If you're an existing user and you don't

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actively make a choice by that September 2025

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deadline, your account will likely default to

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the opt -in setting, which means your data, potentially

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including sensitive business information you've

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discussed with Claude, could automatically start

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being used for model training after that date.

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OK, so inaction means you're opted in. If you

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handle sensitive data, you absolutely need to

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consciously go in and select opt out before September

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28th, 2025. Precisely. You need to be proactive

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if you want to keep that data out of the training

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pool. Got it. OK, let's pull some of these threads

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together now. We've talked scheduling, files,

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connectors, privacy. How does this all look when

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applied to specific jobs or roles, like targeted

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use cases? Yeah, this is where you see Claude

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becoming less of a general tool and more like

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a specialized partner. Take developers, for instance.

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The automation potential for data tasks is huge.

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You could upload a CSV file, maybe userfeedback

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.csv, and ask Claude to write the entire Python

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script to read it, run sentiment analysis, positive,

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negative, neutral on the feedback, save those

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results to a new CSV, and even generate a pie

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chart visualizing the sentiment breakdown. Wow,

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so it's not just suggesting code snippets, it's

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writing the whole workflow script. That skips

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a ton of setup. Although I have to admit, I still

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wrestle with prompt drift myself sometimes when

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I try to chain too many complex steps together

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like that. Oh yeah, prompt drift is definitely

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a thing. Where the AI kind of loses the plot

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halfway through a really long, complicated request.

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It can happen if you stack too many instructions

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at once without breaking them down. Exactly,

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it just sort of wanders off. But back to the

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use cases, what about students or researchers?

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Huge potential there too. Imagine asking Claude

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to find, say, five recent scientific articles

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on CRISPR -Cas9. Then summarize each one into

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three bullet points, include the links, and compile

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all of that into a single, properly structured

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Word document, ready for review. That's automating

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the literature review assembly line, basically,

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and for project managers. Think about combining

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connectors with scheduling. You could tell Claude,

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go to my Trello board, grab all the cards marked

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urgent to do. Then schedule a meeting for tomorrow

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at 10 a .m. in Google Calendar to discuss them

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and paste the list of those Trello cards right

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into the Calendar invites description. That's

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like connecting different work streams automatically,

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stacking those Lego blocks of data, as you said.

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Exactly. So thinking about these specialized

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roles, developers, researchers, PMs, how does

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this level of automation and customization really

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impact their daily work? What's the cognitive

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benefit? Well, it seems like it completely automates

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the tedious, time -consuming setup and structuring

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work, formatting documents, writing boilerplate

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code, hunting for information across apps, freeing

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them up to focus on the actual analysis, strategy,

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or creation. Couldn't agree more. It handles

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the scaffolding so you can build faster. Okay,

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this is all incredibly powerful stuff. But to

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actually use it well, people probably need some

00:12:12.299 --> 00:12:15.580
guidance. Any best practices or tips? Definitely.

00:12:15.820 --> 00:12:18.519
We've got four quick ones. First, and this is

00:12:18.519 --> 00:12:20.700
crucial, always check which features are actually

00:12:20.700 --> 00:12:23.399
available in your specific plan. A lot of the

00:12:23.399 --> 00:12:25.519
really advanced stuff, especially complex file

00:12:25.519 --> 00:12:27.960
handling and many connectors, are often limited

00:12:27.960 --> 00:12:31.000
to the Macs, Team, or Enterprise tiers. Don't

00:12:31.000 --> 00:12:32.580
assume you have everything. Good point. Check

00:12:32.580 --> 00:12:34.559
your subscription level. What's tip two? Tip

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two tackles that tromp drift issue we mentioned.

00:12:36.980 --> 00:12:39.379
The key is to break down complex requests. Instead

00:12:39.379 --> 00:12:41.639
of asking for everything at once, guide Claude

00:12:41.639 --> 00:12:44.279
step by step. Ask it to summarize the data first.

00:12:44.720 --> 00:12:46.620
Then ask it to create an outline based on the

00:12:46.620 --> 00:12:49.559
summary. Then ask it to draft the document section

00:12:49.559 --> 00:12:52.659
by section. Smaller sequential steps improve

00:12:52.659 --> 00:12:55.659
accuracy dramatically. OK, breakdown. Makes sense.

00:12:56.139 --> 00:12:59.419
Tip three. Manage your permissions, especially

00:12:59.419 --> 00:13:01.600
if you start using connectors. You're granting

00:13:01.600 --> 00:13:04.299
cloud access to other apps. Make it a habit to

00:13:04.299 --> 00:13:06.820
periodically go into your cloud settings, review

00:13:06.820 --> 00:13:09.779
which apps are connected, and revoke access for

00:13:09.779 --> 00:13:12.139
any you don't actively need anymore. Just good

00:13:12.139 --> 00:13:14.679
digital hygiene. Right. Keep track of who has

00:13:14.679 --> 00:13:18.389
keys to what. And the last tip. KIPP4 relates

00:13:18.389 --> 00:13:21.070
to Claude's ability to search the web now. While

00:13:21.070 --> 00:13:23.090
that gives it access to current information,

00:13:23.629 --> 00:13:25.570
remember that the web isn't always reliable.

00:13:26.090 --> 00:13:27.950
So if you're using Claude's output for anything

00:13:27.950 --> 00:13:30.710
important, a business decision, a published report,

00:13:31.090 --> 00:13:32.970
critical facts always double check the information,

00:13:33.190 --> 00:13:35.509
especially facts and figures. Verify gets trusted

00:13:35.509 --> 00:13:38.909
sources. Solid advice. Trust but verify, especially

00:13:38.909 --> 00:13:42.309
with web data. So wrapping this all up. What's

00:13:42.309 --> 00:13:44.409
the really big picture here, the core takeaway?

00:13:44.590 --> 00:13:46.149
I think it's this fundamental shift we've been

00:13:46.149 --> 00:13:48.850
talking about. Claude isn't just answering questions

00:13:48.850 --> 00:13:51.370
anymore, it's actively doing the work. When you

00:13:51.370 --> 00:13:53.850
combine that direct file creation with the connector

00:13:53.850 --> 00:13:56.789
ecosystem, it means way less time spent juggling

00:13:56.789 --> 00:13:59.889
browser tabs and apps and much more time available

00:13:59.889 --> 00:14:01.889
for higher level thinking and decision making.

00:14:02.210 --> 00:14:04.710
I agree. It feels like the value you can extract

00:14:04.710 --> 00:14:07.649
from AI like Claude is now directly tied to how

00:14:07.649 --> 00:14:09.750
quickly you can adapt and integrate these newer,

00:14:09.889 --> 00:14:12.379
more active capabilities. into how you actually

00:14:12.379 --> 00:14:15.500
work. So the call to action really is start experimenting,

00:14:15.820 --> 00:14:17.500
try out these integrated tools, see how they

00:14:17.500 --> 00:14:20.360
fit your workflow, but crucially pay close attention

00:14:20.360 --> 00:14:22.879
to those privacy settings and make your choice

00:14:22.879 --> 00:14:26.059
before that September 2025 deadline. See where

00:14:26.059 --> 00:14:27.840
you gain the most leverage, where it saves you

00:14:27.840 --> 00:14:30.980
the most effort. Beat. That's our deep dive for

00:14:30.980 --> 00:14:31.120
today.
