Shadowing Practice: How to Make Hermes Agent 10x More Powerful (Memory & Skills) - Learn English Speaking with Video

Ders oluşturuluyor...
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So you downloaded Hermes, got it running, and then, like most people, you probably stopped there, which means you're using a fraction of what it can actually do.
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And there are two things that unlock the rest, and I'll walk you through both in this video.
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Then I'm going to show you how I've set up a completely autonomous agent
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that gets real work done for me on autopilot.
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And those two things are memory and skills.
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And honestly, I'd argue that Hermes is already more powerful than OpenClaw and most other agents out there.
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But memory and skills are what takes it to another level.
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Memory lets Hermes actually remember your business, your projects, and how you like to work.
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And skills let you teach it new things it can do again and again without you explaining them every single time.
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Set up both properly and you stop repeating yourself and Hermes starts getting better the more that you use it.
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So let me show you how this works.
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Now, before we set anything up, it's worth understanding why memory and skills make such a difference.
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You see, most AI is disposable.
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So what I mean by that is that you give it a task, you close the window, and next time you're starting from scratch.
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Hermes doesn't work like that because it remembers and because it can reuse what you teach it, you're not booting a blank agent every single time.
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You get one that knows more and does more the longer you use it and that's what makes it compound.
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Now, this works fine if you run Hermes on your laptop, but if you want it running scheduled tasks or doing work while your computer's off, it needs to be on 24-7.
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And that's where today's sponsor Hostinger comes in.
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So one of the reasons why I set up Hermes on a VPS, and in this case, I am using Hostinger, is purely so I can access that agent 24-7.
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So when my laptop's closed, I'm not gonna be able to interact with the Telegram bot that's connected to Hermes on my local device.
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So in this case, the VPS is going to be running 24-7
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and you're going to be able to set up automations
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that are going to run in the background without you having to have your laptop open.
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Now, by no means, is this the only way to use Hermes?
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I've seen in the comments people complaining about this.
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I'm not forcing you to use a VPS by any means.
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This is just one option.
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And if you want the benefit that I've just mentioned, then maybe you want to try it out.
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And the way to do that is to hit choose plan.
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I'm on the KVM2 you can go higher or lower
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if you just want to set this up
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and test this out then I would just go for the
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KVM2 we can choose the plan we go through to check out
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and I can get you an extra 10% off
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if you use the coupon code GROWTHLAB10 so
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if I pop in the coupon code here you should see
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in a second okay I've got a nice discount 10% there
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and you could choose the amount of time
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that you have the plan right from one month 12 24 and that's going to get you even more savings as well.
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And you can also install Hermes on your desktop.
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They have an app for that, which is here, which I think is really cool.
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I also use it.
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So I have a few different ways that I tap into Hermes, including the VPS, which is what I'm going to show you in this video today.
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I do have a full setup video walking you through how to set up Hermes on a VPS
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and how to connect the files from your computer so that it's basically just like running it on your computer.
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All right, so let's get into memory.
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I've pulled up the documentation here from Hermes
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and we're gonna walk through a few of these things
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so you understand what I'm talking about here because there is built-in memory in Hermes, but how it works
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and how to get the best out of it is what I'm gonna cover right now
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because usually for most agents out there, for the most part, you're starting from a blank slate and that's a problem.
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Now, this is why we need memory.
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It's why we need like second brain systems and things like this that you've probably heard about.
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Now, there are two files here, as you can see here.
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We've got the MemoryMD and the UserMD.
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So the MemoryMD is basically the agent's personal notes.
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So this is what Hermes is picking up from your sessions and your conversations.
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And the UserMD is who you are.
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So your role, how you like things done, what to avoid, your writing style.
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All of this is going to be in the UserMD.
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And as you can see, the character limit is pretty small because for every session, it's going to read these files, which is going to take up tokens.
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So as you continue to use Hermes, it's probably going to be a good idea to review these files.
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Now, Hermes is going to automatically update these, but you can ask to add specific facts or information or memories or conversations to these files.
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But you can think of these files as sticky notes, not an entire journal.
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You see, the thing that most people get wrong about memory is that more memory doesn't mean a smarter agent.
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A bloated memory file, in this case, like if you have a bloated memory MD and user MD file, it's gonna actually make your agent worse.
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Hermes knows this, so when those files get full, it's not just gonna pile more stuff in.
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It's gonna force itself to consolidate and keep only what matters.
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And another thing, you can just ask Hermes to turn on approval mode, so Hermes asks you before it updates the memory or creates a skill.
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Now, for older stuff, Hermes can actually search your past sessions.
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So if you ask it what you worked on last week, is going to pull up the actual conversations.
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Now the memory files that you see here keeps the important things close
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and injected into every session
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but the thing is built-in memory is not meant to store
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your entire business knowledge for larger knowledge bases you can see
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here i've got obsidian open i know people show this fancy
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graph for you you can sort of zoom in on clusters
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and things like this now you don't need obsidian the way
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that i see obsidian is it's a file reader it's It's a way to easily access your files, right?
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And if I come into here and I come into my posts, I've got this brief, for example, I can open it up and I can see the MD file.
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A second brain is essentially a collection of files grouped in certain categories that you can then reference with your AI agent.
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So I can tell it, hey, in the Instagram folder, we worked on this post,
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or you can pull the hooks from here or create skills that have those hooks already pre-embedded in for example.
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Now, creating a second brain is not really part of this video today.
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I could do an entire video on it.
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If you do want that, then drop me a comment below.
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But for now, you can just think of it as a way to collect your files and your notes.
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So when you're working with Hermes, typically you might be working on content, you might be working on automation, a proposal.
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All of these things create artifacts or MD files or scripts, and those need to be organized into a file system.
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And that's exactly what a second brain is.
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You can plug that into any AI agent and you can immediately pull from that knowledge in your file system.
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So if you're coming to my Hermes instance on the VPS called Dave, of course, I can ask what's in my memory MD file,
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my user MD file, and it's going to show me and tell me.
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And if I want to edit that, I can go ahead and do that.
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So let me just show you what's inside of mine.
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Now you can create other MD files.
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You can create a voice MD file.
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You could create an agents.md file.
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These all give additional context where needed.
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So you don't just have to stick to what's already in the system.
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You can create your own MD files and you can tell Hermes to load them in every session.
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So you can see what's in my memory file here.
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It's got bytes of information.
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It's got information about our VPS, our file structure, the work that I do, the kind of skills that I've got, et cetera, et cetera.
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And then in my user MD file it's more about the
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personality of hermes you could see the assistant persona you could
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see the assistant persona is dave a classic northern british lad
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which is which is what i am
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and yeah i am cloning myself in ai so what
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and you could see here it's got information about my business
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that i'm a content creator my preferences etc so this is something
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that hermes is going to create for you
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or you can ask hermes to interview you so
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that you could set up a a solid base for for your memory and user MD file.
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Okay, so memory helps Hermes remember information, but skills teach Hermes how to do things.
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So again, I've got the documentation open here from Hermes.
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You can read through this yourself.
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I'm just gonna give you an overview.
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Some of this stuff is, yeah, not super necessary for you to know,
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but a skill is really just a repeatable process that Hermes can use to save time, essentially.
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If you have a process that you come into AI you do on an everyday basis or a weekly basis, whether you're creating content, pulling reports,
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these kinds of things are something that you would do on a regular basis.
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That's what you could turn into a skill.
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So once you work through a process in Hermes, you just do forward slash learn to turn it into a reusable skill.
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And Hermes might even just do it on its own, because that's what it does, because it can create skills based on how you're using Hermes.
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So you can see here, I've asked Hermes to tell me all the skills that he's got access to.
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Now, Hermes does come preloaded with a ton of skills.
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I've also imported a bunch of my skills from my local device into Hermes on the VPS that you could see here.
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This is all of the skills that we've got access to.
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And some of these I didn't even create myself.
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Like, for example, this one here, Claude Skills to Hermes.
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Hermes decided to create this skill because I was importing skills into my VPS inside of Hermes.
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So you can either build your own skills using your own processes, your own documents, folders, websites, tasks that you've already done with Hermes.
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You can also install the ready-made community skills
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and you can make use of the default skills
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that are already built in to Hermes and you can tweak them and adjust them however you want.
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So this is where things get pretty powerful because once you have a few skills, you don't run them one at a time.
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You can change several skills into a single command or you can bundle them.
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So one word kicks off the whole workflow.
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And Hermes can even go a level further and spin off its own sub agents to work in the background.
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And that's going to help you split a bigger job across a small team of agents all reporting back when they're done.
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So you're not having to wait for each task or each part of a process to complete sequentially, if you know what I mean.
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Because if one agent was taking care of everything, it would do phase one, phase two, phase three, all in a linear fashion.
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When you're using subagents, you can do phase one, two, and three all at the same time.
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So there is something else that I want to mention here, and it's called the curator.
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And this keeps your library clean.
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So it's going to quietly archive skills that you've stopped using.
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And this is going to work in the background
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because the thing is most people have a ton of skills that they just never use.
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They see something on X or on LinkedIn, they download it, they install it, but they never actually have a use case for it.
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So this is how Hermes is gonna keep your setup lean.
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Now, if you don't want Hermes going and deleting skills
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that maybe you use once every few weeks or once every couple of months, you can actually pin those skills.
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You can just say into Hermes, hey, can you pin this skill so that the curator doesn't archive it?
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So I want you to remember this.
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A skill is only as good as the process that you teach it.
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If the process is messy, Hermes is going to repeat the same mess.
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So with the first skill that you make, the V1, it's going to change and iterate as you use it.
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And you're like, oh, we could improve this
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or we could do this better or we could insert an additional context here so it doesn't make the same mistake.
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Does that make sense?
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And once a skill works, you could put it on a schedule with a cron job, for example.
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So Hermes can run it automatically in the background.
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And that's where skills can really change things.
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You're not just giving Hermes more information.
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You're giving it new capabilities that you can keep on using.
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So let's get into a demo, shall we?
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I'm sure you want to see how all of this is going to work in a real life scenario.
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So I'm going to show you the whole thing
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that we just walked through working because this is where memory skills and those cron jobs and the self-checking all come together.
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So here's what we're going to cover.
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So this is what I've got in mind.
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So for every mentorship call that I run, it gets recorded with Granola and transcribed, right?
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and I've already got a framework for creating Instagram reels and hooks.
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So what I want to happen is every time I have a mentorship call, my agent is going to pull the transcript.
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It's going to find three ideas that I think will be useful to share with my audience.
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And it's going to create me three hooks for each of those ideas
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and create me the real script or the bullet points, which is what I use to record with.
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Okay.
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So the way I'm going to kick this off is by just talking to my laptop with Whisperflow.
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Now, interesting fact, I've not shared this anywhere yet,
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but I took all of the transcripts of everything that I've spoken into Whisperflow over the last 30 days.
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I ran it through Fable 5 to do a comprehensive analysis of my speech patterns
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and how I can improve how I'm using Whisperflow because I'm typically prompting AI.
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I'm just talking and letting AI do its thing.
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Now, it came back with some really good suggestions on how I can improve
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the outputs of the projects that I'm working in.
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So instead of just rambling to Whisperflow, which, you know, can work and it's what I do, there is a little bit more structure involved.
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And if you can include that, it's going to make it a lot more clear for the model
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and the agent to understand what it is that you want to do.
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So stating your objective or your goal first, filling in the context, and then maybe giving some like some do's and don'ts, like do this, don't do this,
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maybe sharing an example, boom, you're going to get way better output.
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than just like rambling for six minutes, which is what I've been doing, okay?
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So let's throw this in.
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So the goal right now is to create an automation that runs once a week after my mentorship call, which happens at 9 p.m.
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Eastern time on Wednesdays.
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I have the transcripts getting recorded with Granola.
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So I want you to pull the transcripts, read the transcripts and figure out what are the key content ideas.
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So I have an Instagram page.
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I record reels of about 60 seconds to two minutes.
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And I want you to create the script and then I say five hooks for each idea.
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And so I'm going to give you access to my computer.
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And on my computer, I've got all of the files that you need.
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I've got a bunch of hook examples in the app challenge folder.
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and then I've got an example of structure of how you're going to give me the hook and the bullets, the talking points.
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Essentially, I don't need it scripting.
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So let me know what you need from me and let's kick this off.
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So you can see I stated the goal, explained the process, gave a bit of additional context here and then let's see where we go from here.
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All right guys, so that did take quite a few minutes but everything seems to have worked out just fine.
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It's pulled all of the files from my computer where I have all the hooks, all of that good stuff.
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And if we go over to warp, this is where I'm accessing my files from.
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And you can see we've got the back test cards.
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This is where all the hooks are.
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As you can see, we've got the topic and hook.
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And then we've got a few of the different hook options.
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And then we've got the structure of the reel.
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So proof, tension, close.
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Okay, it's got bullets for each one of those.
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And I could talk about all of them or none of them.
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It's going to be totally up to me when I hit record.
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And then card number two.
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So this is just real number two.
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I'm not sure why it's calling it a card
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but uh same thing we've got hooks same structure three got
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four i got five got six oh we got more more than i asked for here
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which is which is great
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so this is giving me a bunch of options it's taken the transcript of my mentorship call
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and it's found interesting content ideas that i can then just easily record
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and that's all automated for me in the background So I'm going to tell my Hermes agent here, Dave.
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Hey Dave, can you turn this into a skill as well?
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In case we want to do something manually here.
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And also, is the cron job scheduled to run?
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Let me know the details of that.
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Okay, so it's created this skill from you could see what it's created here.
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Many to tweak that.
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Because what I was thinking is if I can just drop in a transcript
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or tell it to find a transcript for any call that I've had, it can then go through this process of creating the reels.
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So we'll make the edit, but you could see here, this is what it covers in the cron job status.
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It's scheduled weekly, Thursday at 3.30 UTC, which is the correct time after my call.
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And you can see the skills that it's loaded, right?
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Okay, boom.
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So it's come back and it's given us the details of the cron job and the skill that it's created, which is this mentorship call reels back test.
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Now it did make some mistakes.
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so I've had to go in and just tell it, hey, you need to make sure that this is happening.
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You can see here for the cron job, it was loading the wrong skills.
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And so I went in and just tweaked that.
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And this is what you're gonna have to do.
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And so if I hadn't asked for a summary of what it's created, I wouldn't know that it was gonna be referencing the wrong skill, okay?
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So you could see this is my cron job, this is the schedule, and that's now gonna give me new reels and scripts to use
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from all of the mentorship calls I have every single week, which I think is super cool.
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It's going to run in the background.
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It's going to be running on my VPS.
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So you can see here in Warp, you can see these are all the files that it's created that it's going to be referencing in the skill.
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So if you want to see the timeline of everything that's been going on when you're using Hermes, maybe it's creating some skills in the background that you kind of had no idea about,
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you could do forward slash journey.
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So if you do want to see exactly what's happened here in Hermes, the skills that it's created, the updates to the memory files you can actually just ask
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it hey can you give me a summary of all the updates
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that you've done to my memory files the skills that you've created
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and anything else that you've created without me really knowing about it can you show me all of
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that let's say the last 30 days
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so we can see in here it's given us a very in-depth breakdown of
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when the memory files were updated you can see updated here last modified the points
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that is added to the memory file we could scroll down
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and we could see the skills that it's touched in the last 30 days
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so i'm not going to take you through all of this you've got the cron jobs
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that are currently set up
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but i am going to be honest with you here there's no single secret
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that makes hermes 10 times better memory
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and skills working together are really the the foundation of your
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agent here memory gives it context skills give it capability and
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and your cron jobs are automations that are going to run
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in the background so over time
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when you start to build these out you stop repeating yourself
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and you stop reteaching the same jobs
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and hermes is going to pick up much closer to where you left off last time
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and that's the difference between just jumping in starting from scratch every time
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and having an agent that actually compounds so a few other notable mentions here
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because there's tons of documentation here on the hermes site and you can take a look there's some memory providers
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So you could hook up something like Honcho.
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You can grab an API key and have a more robust memory system.
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We've got context files here.
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Like I mentioned earlier, you can create different MD files, like the sole MD, agents.md.
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And there's a whole bunch more in here that I highly recommend that you check out.
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You've got the guides and tutorials here, a bunch of stuff.
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So now you know how to turn Hermes into a self-improving AI agent.
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And honestly, setting all this up is kind of the easy part.
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The harder question is which automation in your business is actually worth building first.
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And that's different for everyone.
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And that's the exact thing that I do with my clients one-on-one inside of my AI assessment.
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So before you even jump on a call with me, you fill out an in-depth questionnaire about your business, your processes, and I take that information
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and I figure out what are the highest ROI opportunities regarding automations and tools that you can build in your business.
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and then we get on a call together and we actually build the highest ROI opportunity tool or automation in your business.
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We build that live on the call.
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I take you through my entire process
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and then I leave you with the report and all of the other automations that I would build after.
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So if that's something that seems interesting to you and you wanna become AI native in your business, then there's gonna be a link below in the description for you to get that AI assessment today.
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Anyway, thanks for watching.
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My name's Tom and I'll see you in the next one.
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Thank you.

Bu dersin kelimeleri ve konuşma notları

Bu C1 seviyesindeki konuşma dersi “How to Make Hermes Agent 10x More Powerful” videosuna dayanıyor. En çok tekrarlanan kelimeler: hermes, skill, file, memory, agent. Bu videoda gölgeleme çalışması için 299 cümle ve 4157 kelime var. Konuşma bölümü 20:47 sürüyor. Konuşmacı hızlı konuşuyor, dakikada yaklaşık 200 kelime; bu yüzden birbirine bağlanan ve zayıflayan sesler duyacaksınız. Kelimelerin %85’i İngilizcede en sık kullanılan 3.000 kelime arasında; geri kalanına başlamadan önce bakmakta fayda var.

Bu videodaki önemli kelimeler

Videodaki en ileri düzey 15 kelime, telaffuzu ve anlamıyla:

KelimeTelaffuzAnlam
automation isim/ˌɔ.təˈmeɪ.ʃən/otomasyon
obsidian isim/əbˈsɪd.i.ən/obsidyen, obsidiyen
tweak isim/twiːk/çimdik, kesme alma
folder isim/ˈfoʊldɚ/klasör
curator isim/kjʊəˈɹeɪtə(ɹ)/küratör
warp isim/ˈwɔːp/bozulma, deformasyon
persona isim/pɝˈsoʊnə/kişilik
archive isim/ˈɑɹˌkaɪv/arşiv
artifact isim/ˈɑɹtɪfækt/artefakt, insan yapımı
autopilot isim/ˈɔtoʊˌpaɪlət/otopilot
questionnaire isim/ˌk(w)ɛstʃəˈnɛə/anket formu
workflow isim/ˈwɝkfloʊ/iş akışı
clone isim/kloʊn/klon
modify fiil/ˈmɑ.dɪˌfaɪ/modifiye etmek, değiştirmek
sticky sıfat/ˈstɪki/yapışkan

Duyacağınız deyimsel fiiller

KelimeTelaffuzAnlam
check out fiilgözden geçirmek
figure out fiilaçığa çıkarmak
fill out fiil/fɪl ˈaʊt/doldurmak
hook up fiilbirleştirmek, bağlamak

Tekrar etmeye değer cümleler

Videodan, günlük konuşmada yeniden kullanabileceğiniz kısa ve tam cümleler:

  • I've seen in the comments people complaining about this.
  • All right, so let's get into memory.
  • I'm just gonna give you an overview.
  • That's what you could turn into a skill.
  • So let's get into a demo, shall we?

Bu videodaki dil bilgisi

Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:

YapıVideoda
Present perfect continuous have/has been + -ing — önceden başlayıp hâlâ süren bir eylemI've been doing · that's been going
Present perfect have/has + fiilin üçüncü hâli — geçmişte olan ama şimdi de önemli olan bir eylemI've set · I've seen · I've just mentioned
İlgi cümlecikleri who / which + cümle — bir kişi ya da şey hakkında ek bilgithere, which means · that, which is · VPS, which is
Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemliis built · be organized · are already built

Dikkat edilecek telaffuzlar

Konuşmacı I'm, I've, you're gibi kısaltılmış biçimleri 109 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.

  • “sh” ve “zh” sesleri: automation /ˌɔ.təˈmeɪ.ʃən/, documentation /ˌdɑkjəmɛnˈteɪʃən/, fraction /ˈfɹæk.ʃən/
  • Uzun kelimeler — vurguyu doğru yere koyun: automation /ˌɔ.təˈmeɪ.ʃən/, obsidian /əbˈsɪd.i.ən/, documentation /ˌdɑkjəmɛnˈteɪʃən/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, autopilot /ˈɔtoʊˌpaɪlət/

Türkçe konuşanların zorlandığı sesler:

  • /w/ — dudaklar yuvarlak, /v/ değil: tweak /twiːk/, warp /ˈwɔːp/, questionnaire /ˌk(w)ɛstʃəˈnɛə/, sequentially /səˈkwɛntʃəli/, workflow /ˈwɝkfloʊ/
  • Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: transcript /ˈtɹæn.skɹɪpt/, tweak /twiːk/, bloat /bloʊt/, curator /kjʊəˈɹeɪtə(ɹ)/, questionnaire /ˌk(w)ɛstʃəˈnɛə/
  • /æ/ — “e”den daha açık: transcript /ˈtɹæn.skɹɪpt/, ramble /ˈɹæmbəl/, artifact /ˈɑɹtɪfækt/, transcribe /trænˈskɹaɪb/, manually /ˈmænj(u)əliː/

Bu videoyla nasıl çalışılır

  1. Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
  2. 0,75× hızla başlayın, cümle cümle tekrar edin ve kolaylaşınca normal hıza dönün.
  3. Kendinizi kaydedin ve orijinaliyle karşılaştırın; automation, obsidian, tweak gibi kelimelere özellikle dikkat edin.

Gölgeleme Tekniği Nedir?

Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.

Shadowing tekniği: adım adım eksiksiz rehberi okuyun →