Pratique du Shadowing: Learn 95% of ChatGPT Work in Under 20 Minutes - Apprendre l'anglais à l'oral avec la vidéo
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239 phrases
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You're in the right place if you use ChatGPT every day.
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Know that ChatGPT Work is a major upgrade, but you're still using it like a normal chatbot because no one,
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not even OpenAI, can explain what you're supposed to do differently.
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Now ChatGPT goes from just answering questions to doing work for you by connecting to all of your tools.
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Okay, Dominic, but what does that mean?
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I guess I'll take a stab at this.
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Here in ChatGPT Work, I've asked it to create a Google Calendar reminder for my brother's birthday.
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A simple enough task that regular ChatGPT can do as well.
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But watch what happens next.
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In my next prompt, I tell ChatGPT Work to add a cake emoji to the event title, put reminder to buy gift in the calendar description,
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and I also say to carry these rules forward for every birthday event.
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And after fast forwarding, We can see the AI has saved both defaults for every future birthday event.
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But what exactly does that mean?
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To answer that, let's open a brand new session within ChatGPT Work and say, create a birthday reminder for Sam Elman on April 22nd.
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And let's fast forward to see what happens.
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And we see the cake emoji in the title and the gift reminder in the description, even though I never asked for either one in this session,
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which illustrates ChatGPT Work's biggest advantage over regular ChatGPT.
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ChatGPT work remembers the rules you want it to follow and carries them into future tasks.
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So the more you teach it about how you work, the more useful it becomes.
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And that's just the tip of the iceberg.
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So let's get started.
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Before diving in, let's first take a quick look at all the products you have access to.
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On one end of the spectrum is good old ChatGPT chat.
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I'm not gonna waste your time with this today.
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On the other end, we have Codex, which is designed for coders and programmers.
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So we're not touching this today either.
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The middle is where it gets confusing because there are two versions of ChatGPT Work.
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ChatGPT Work Web lives inside the web version of ChatGPT.
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It has a few unique advantages, but it's a lot less capable than the desktop version.
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ChatGPT Work Desktop is the one I recommend using for everyone who's not technical.
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So that's what we'll be focusing on for the rest of this video.
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Good job, OpenAI for making this so simple.
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As an ex-Googler, I can tell you, we never made our product lineup so confusing for our consumers.
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And something like this never ever bit us in the ass.
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Once you've downloaded the desktop version of ChatGPT Work, you only need one other thing to unlock its full capabilities, a Google Doc.
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Think of this document as the master rule book for ChatGPT Work, written entirely in plain English.
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The purpose section explains how this document works, The global rule section contains the instructions ChatGPT Work follows for all tasks.
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Voice principles controls how the AI writes and maintenance explains how ChatGPT Work should keep the file organized as it grows.
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Taking a closer look at the Google Doc, we see that ChatGPT Work added the Google Calendar birthday rule from earlier as a subsection under global rules.
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The voice principle section is thin on purpose because you'll learn how to teach it to sound like you later on.
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And the same goes for the routing map.
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I've linked the starter template for you down below.
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And when you download this, make sure you go to files, download, and download as a markdown file, okay?
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And you're gonna need to rename this exactly, all right?
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You're not gonna rename this to like agent.
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You're not gonna rename this to agent one.
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You're gonna rename this to agents.md.
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Exactly like that, okay?
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Or ChatGPT work is not gonna recognize it.
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Next, create a folder anywhere on your desktop, call it whatever you want.
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For me, I'll just say Jeff Work OS.
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And then we're gonna move the agents.md file into that folder, all right?
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And then back in the ChatGPT desktop app, make sure the work toggle is selected.
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And then under choose project, we're gonna pick that folder we just created, all right?
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And once your folder has been added or mounted,
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ChatGPT work will now automatically read your agents.md file before it performs any task.
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And the best part is, you don't even need to manually maintain this file.
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You can just tell ChatGPT work.
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Remember this rule.
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Whenever I ask you to rename image files, use a short but descriptive name so I know what each image is without opening it.
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And let's just fast forward here.
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Clicking into the agents.md file opens it up in the preview pane.
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And we can see that ChatGPT work added a subsection under global rules with our file name convention.
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Now I can drop a folder of photos into my WorkOS folder.
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And in a new chat, I can say, rename the photos in the images folder.
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And after about a minute, we're just gonna skip ahead here.
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We can see the images have been renamed according to our new rule.
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So just to be clear, ChatGPT Work could already analyze and rename images, but without rules in place,
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it'll rename the photos differently every time, giving you inconsistent results which leads us to the most important takeaway from this video.
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If you use ChatGPT Work without mounting a folder, you're basically using regular ChatGPT.
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Once you mount a folder with an agents.md file inside,
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ChatGPT Work reads that file before every task and follows your preferences so you get consistent results.
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One thing I'm choosing not to cover today is the three ChatGPT models because that's a whole separate rabbit hole.
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But luckily for us, today's sponsor HubSpot has a free guide that breaks it down.
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It's one of the clearest explanations of which model is good for what.
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And honestly, I've been making the mistake of defaulting to the most powerful model, SOL, for everything, wasting like a bunch of tokens.
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But now I know better.
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For a recent presentation, I started off using SOL to build the narrative
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and to analyze a bunch of earnings call transcripts and financial statements.
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Then I actually jumped to Luna to pull thousands of numbers from the financials into a spreadsheet.
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And it was surprisingly fast and accurate.
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Then finally, I used Terra to actually build out the slide titles and speaker notes.
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Inside, you also get nine ready to run workflows from just getting started all the way to connecting Gmail, Slack and Drive for recurring automations.
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So check out the free guide by clicking the link down below.
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Thank you HubSpot for sponsoring this video.
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Next up, let's see how we can supercharge plugins with our agents.md file.
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As a quick reminder, plugins connect ChatGPT Work to tools you already use like Notion, Gmail, and Slack.
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In Claude, this is called connectors.
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And in Gemini, this is called connected apps.
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And connecting to an app within ChatGPT Work is very easy.
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You just go to plugins and then search for a tool like Google Calendar, and you simply follow the instructions.
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But just giving access by itself isn't that useful.
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teaching ChatGPT work how you like to use that app is another thing entirely.
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And that's where the agents.md file comes in.
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For example, with your folder mounted, start a new chat and say,
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remember this, meetings default to 45 minutes and format Google calendar descriptions so they're easy to scan.
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Start with bottom line up front, followed by three short bullets with relevant context.
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And we're just gonna skip ahead here.
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Opening up the agents.md file, we see ChatGPT Work added the new rule under Google Calendar rules directly, which is a great example of us,
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the user, setting the rules and the AI doing the grunt work.
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Now, in a fresh ChatGPT session, I can upload my apartment lease and say,
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create a Google Calendar event for a call I have with my real estate agent tomorrow at 10 a.m.
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I've attached my lease for your reference.
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And let's fast forward.
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And again, we see ChatGPT Work has created the event following the instructions saved inside our agents.md file.
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45 minute event, bottom line up front with three bullets, even though we didn't repeat those instructions in the prompt.
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But there's a problem.
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Google Calendar is only one app.
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And as you connect more, Notion, Gmail, Google Calendar, Teams, Granola, Spotify, so on and so forth,
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adding all those rules for all those apps in one agents.md file will get very messy.
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So here's a pro tip.
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We can tell ChatGPT Work, create a tool conventions.md file that will house all rules governing tools moving forward.
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Move every tool or plugin specific rule from agents.md into it.
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Replace the moved content in agents.md with a link.
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And we're just gonna send this off.
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While that's working, let me quickly explain why we just did that.
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ChatGPT Work loads agents.md before every single task.
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So a bloated file means worse outputs and wasted tokens.
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And since we're not using tools like calendar in every task,
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moving those app specific rules into a separate file keeps agents.md lean and organized.
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Opening up the newly created tool conventions file, we see that both the image file and Google Calendar rules got moved over.
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And over in our agents.md file,
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that entire section got replaced by a pointer to the newly created tool conventions file.
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Now that you understand how plugins work together with agents.md, here are three useful plugin rules that you can add today.
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For Gmail, never include a sign off in my Gmail replies because I already have a default signature set up.
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For Notion, always use the existing templates in my Notion databases instead of creating pages from scratch.
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For Slack, when summarizing Slack threads, always separate the output into decisions, action items, and open questions.
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As a quick recap, plugins let you connect ChatGPT work to your apps.
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And although by itself, this is nothing new, you can use agents.md to teach the AI how you use those apps.
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By the way, my free cowork toolkit includes all the templates you need to organize your rules, folders, and workflows in one week.
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Yes, it is built for Cloud Cowork, but the exact same logic and frameworks apply to ChatGPT Work, link down below.
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Moving on to my favorite feature, the side panel.
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So basically, the side panel in ChatGPT Work has three completely different functions.
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First, it lets you preview and edit files as you've seen already.
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Second, it's a fully functional browser, and we're gonna get into the benefits of that in a bit.
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And third, I can use the side chat function to hide stuff from the main chat.
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And this is not to be confused with a side chick.
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Okay, that was really bad.
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I'm kind of struggling today.
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Hang on, hang on, hang on.
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Starting with the preview pane, let's go through an example.
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If we open up our tool conventions.md file in the side panel, we can highlight the entire Google Calendar section,
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click Edit, and we can say, add a section for Gmail, Notion, and Slack using the same structure,
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H2 headers, with clearly labeled placeholder rules under each one.
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And let's fast forward, just a few seconds later, the same file has matching sections for all four tools.
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And if you made a mistake, you can just click the undo button here.
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I'm just gonna click redo.
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Simple enough, right?
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Pro tip, whenever you see a hyperlinked file or folder,
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you can right click and choose show in finder or the windows equivalent to quickly locate it within your workspace,
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letting you easily drag the file or folder into another location.
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Next up, the in-app browser can be opened by pressing command and control T, right?
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Just like opening up a new tab and typing in the URL.
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And you should know that we could technically ask ChatGPT to open up the in-app browser in a prompt, but obviously that's super slow.
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Why would we ever do this though?
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Let's go through two real use cases.
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Here, I'm on my partnerships page and instead of taking screenshots or copy pasting the URL, I can click the annotate icon,
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select this specific section of the page and say, hey, create a preview of this section in dark mode.
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And let's see what happens.
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Think of annotation mode like leaving a comment directly on a website.
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Instead of describing where something's on the page, I can point to the exact element and explain the change I want in plain English.
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First, we see that ChatGPT Work gives us a mockup of how the dark mode would look, right?
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Light mode, dark mode, which is already pretty cool.
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Better yet, because ChatGPT Work is connected to my website hosted on Ghost,
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I can actually ask ChatGPT Work to implement this change, which I did off camera.
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Meaning, if you go to my website right now, You will see there is now a dark toggle and it looks pretty incredible.
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To be clear, those were two separate steps.
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Anyone can open a public webpage and ask for a mock-up,
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but actually pushing the change live requires ChatGPT work to be connected to that platform.
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A lot of you are gonna be horrified by this next example, but technically you can log into your accounts within the in-app browser.
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So if you trust OpenAI and Scam Outlet, I mean, Sam Altman, you can hand off a lot of tedious work.
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For example, I recently launched a course
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and I had ChatGPT work test every single link within the lesson descriptions to check for dead links
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and to confirm they all open up in a new tab so the learning experience isn't interrupted, which would have been super annoying to do manually.
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Lastly, we can type forward slash side to open up a
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temporary side chat I can see everything in the main conversation without interrupting anything.
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So as an example, here I have an active task where ChatGPT work is reviewing a dense PDF.
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And I have a question, but I don't want to interrupt the task.
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And so I open side chat and ask, based on the uploaded PDF, what does personal assessment mean in plain English versus salaries tax?
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And fast forwarding a little bit here, we see it answers my question without interfering with the main task.
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A few things to know when using side chat.
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It already has the context from the main task, so you don't need to re-explain or re-upload anything.
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And second, nothing inside the side chat flows back into the main chat.
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And third, closing it deletes the side chat, so you need to copy anything you want to keep.
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As a quick recap of the side panel, here's the mental model to carry forward.
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Use the preview pane to quickly review and or edit a file ChatGPT work surfaced in chat.
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Use the in-app browser when the context you want to share with ChatGPT lives on a website.
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Sign in only if the convenience is worth a privacy trade-off to you.
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You side chat when the question or tangent needs the same context as the main task, but shouldn't change the deliverable.
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Now, let's move on to skills in the context of ChatGPT work.
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As a quick reminder, a skill basically takes some sort of input, like messy notes, processes that against a checklist of rules you create,
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and gives you an output, like a structured briefing.
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Diving right into an example, here I'm in the middle of a working session where ChatGPT work gave me the first draft of my next newsletter.
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and after making some edits, I've pasted the final draft I'm actually going to send out.
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What I'm about to do next will teach ChatGPT work to sound like me for every newsletter moving forward.
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In the same chat, I say, compare this final newsletter against your original draft earlier in this chat.
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Identify the repeatable differences in my writing style, then create an improved skill I can run whenever I give you a draft and my final version.
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Show me the proposed learnings before updating the voice principal section of agents.md.
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Just to be super clear, we're doing two things here.
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One, we're creating a skill called improve.
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And second, the input we're giving it contains both the initial V1 draft and my final draft.
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Then the skill compares the two to extract patterns and the output are the writing rules to carry forward.
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Here we can see that ChatGPT work identified seven repeatable learnings, ignored changes not related to our tone of voice
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and proposed updates to the voice principle section and created an improved skill that I can use in the future.
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And after approving those updates, fast forwarding a little bit, we can then open the agents.md file to see all the changes.
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And that's the key takeaway when it comes to using skills in ChatGPT work.
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You are going to make those edits and corrections anyway.
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So why not create skills that teach ChatGPT work your preferences so you re-explain yourself less and less over time.
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All right, that covers the basics.
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So let me share the next logical step on your way to building your own AI system.
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Here in my Work OS folder, it looks a little empty, but what if I dragged another folder with my travel preferences in here?
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And then in a new ChatGPT work session, I say, review the new travel folder I just added to this workspace.
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Add a travel entry to the routing map So future travel related requests are routed to this folder.
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Finish by showing me the exact entry you added and explain why.
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And we're just gonna fast forward here.
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I'm actually gonna ignore the output on purpose because it's not gonna make any sense to you right now.
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Instead, I'm gonna start a new chat and say, I wanna plan a trip to Iceland.
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How will this workspace handle that?
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And after just a few seconds,
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we see that, whoa, ChatGPT Work knows that this ask is related to like traveling and stuff,
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and therefore should be managed within the travel folder we just added.
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So what's going on?
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How did it know?
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Well, if I open up the agents.md file, we see that a new entry has been added to the routing map section, telling ChatGPT work that all travel
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and trip related tasks should be routed to the travel folder since the travel folder holds all context related to planning trips,
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like my Marriott membership, my seat preferences on flights, and what happened on previous trips.
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In plain English, instead of maintaining one giant messy folder, the routing map lets us break our work into smaller subfolders,
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one for each recurring part of our job or life.
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And because I know a lot of you will ask, I use both ChatGPT Work and Claude Co-Work since I can just mount the same folder to both, right?
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And you'll see in my actual like Jeff OS workspace, I have more than like 30 areas or like what I call workstations.
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And I have agents.md that ChatGPT recognizes and a Claude.md that Claude recognizes.
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And if you want something like this, but you don't want to build from scratch, my cowork Academy starts you off with the whole structure already built.
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The folders, the routing map and the rule files.
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It's taught in Claude cowork, yes.
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But as you just saw, the same folder works in both.
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Link down below.
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If you found this useful, check out this tutorial next on how to give your AI system perfect memory.
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See you on the next video.
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In the meantime, have a great one.
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Vocabulaire et conseils d’expression pour cette leçon
Cette vidéo contient 239 phrases et 3385 mots à répéter en shadowing. La partie parlée dure 19:29. Le locuteur parle à un rythme naturel d’environ 174 mots par minute, proche d’une conversation courante. Seuls 79 % des mots font partie des 3 000 mots les plus courants en anglais, le vocabulaire est donc exigeant.
Vocabulaire clé de cette vidéo
15 mots de la vidéo à retenir, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| folder nom | /ˈfoʊldɚ/ | dossier, chemise |
| calendar nom | /ˈkæl.ən.də/ | calendrier |
| connect verbe | /kəˈnɛkt/ | accoupler, connecter |
| reminder nom | /ɹɪˈmaɪndə(ɹ)/ | rappel |
| mount verbe | /maʊnt/ | monter, grimper |
| skill nom | /skɪl/ | habileté, compétence |
| edit verbe | /ˈɛdɪt/ | modifier, corriger |
| preview nom | /ˈpɹiːvjuː/ | aperçu |
| output nom | /ˈaʊtpʊt/ | sortie |
| plain nom | /pleɪn/ | plaine |
| instruction nom | /ɪnˈstɹʌkʃən/ | instruction |
| preference nom | /ˈpɹɛf(ə)ɹ(ə)ns/ | préférence |
| principle nom | /ˈpɹɪn.sɪ.pəl/ | principe |
| upload verbe | /ˈʌpˌloʊd/ | téléverser, télécharger |
| messy adjectif | /ˈmɛsi/ | désordonné, désorganisé |
Les verbes à particule que vous entendrez
| Mot | Prononciation | Sens |
|---|---|---|
| open up verbe | ouvrir | |
| check out verbe | mater, regarder | |
| go through verbe | traverser | |
| hand off verbe | passer, transférer | |
| set up verbe | /ˌsɛt ˈʌp/ | mettre en place, installer |
La grammaire de cette vidéo
Les structures que le locuteur utilise le plus, avec les mots exacts de la vidéo :
| Structure | Dans la vidéo |
|---|---|
| Present perfect have/has + participe passé — une action passée qui compte encore maintenant | I've asked · has saved · you've downloaded |
| Voix passive be + participe passé — l’accent est mis sur ce qui arrive, pas sur qui le fait | is designed · is selected · has been added |
| Propositions relatives who / which + proposition — une précision sur une personne ou une chose | Codex, which is · mode, which is |
Prononciation à surveiller
Le locuteur utilise 71 contractions et formes réduites, comme gonna, we're, I'm. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « th »: thin /ˈθɪn/, thread /ˈθɹɛd/
- Les sons « sh » et « zh »: instruction /ɪnˈstɹʌkʃən/, partnership /ˈpɑɹtnɚʃɪp/, explanation /ˌɛkspləˈneɪʃən/, establishment /ɪˈstæb.lɪʃ.mənt/, presentation /ˌpɹɛzn̩ˈteɪʃn̩/
- Mots longs — placez bien l’accent: differently /ˈdɪf.ə.ɹənt.li/, technically /ˈtɛk.nɪˌkəl.i/, manually /ˈmænj(u)əliː/, temporary /ˈtɛmp(əˌɹ)ɛɹi/, explanation /ˌɛkspləˈneɪʃən/
Comment s’entraîner avec cette vidéo
- Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
- Commencez à la vitesse 0,75×, répétez phrase par phrase, puis revenez à la vitesse normale quand cela devient facile.
- Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme folder, calendar, connect.
Qu'est-ce que la technique du Shadowing ?
Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.