Практика Shadowing: It’s Actually Pretty Easy to Get Ahead of 99% of People with AI - Изучайте разговорный английский по видео
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Winning with AI in 2026 is actually pretty easy.
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Most people are just thinking about it the wrong way.
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And I'm not gonna tell you how to get better at prompting or use this AI tool.
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That won't get you anywhere unless you use a simple framework.
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I've built and scaled several companies past a million dollars in under six months through Martell Ventures.
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And the most important thing to understand first and foremost is AI doesn't actually solve problems.
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The person using it solves problems.
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AI just does stuff.
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For the longest time, winning has been man plus tool, man plus laptop, man plus bike, and it still is man plus tool.
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So as long as that's still the equation, then your job is to be a better man that uses the tool.
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Like if I just gave you a computer and you didn't know how to use it, it wouldn't make you any money.
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And a lot of people think, now that I've got AI, I should be rich.
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Unfortunately, AI isn't gonna make you rich.
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You being the person using it and the tool, that's how you get rich.
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And the truth is some tasks belong to you and some tests belong to the AI.
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And if you're stuck between both of them, you'll just feel really busy, but you won't be making progress.
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In this AI era, the person who understands the problem the best, they'll actually win, not the person who understands the tool the best.
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And to figure out what problems you should be solving with AI, I've come up with a simple framework.
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I call it the game matrix.
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There's four letters in four quadrants.
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The left side is easy for computers.
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The right side is hard for computers.
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The top is easy for humans.
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The bottom is hard for humans.
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Each quadrant will show you how to collaborate with AI to get things done.
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And the easiest one to start with is give it to AI.
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This is easy for humans, but also incredibly easy for computers.
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Think about all the stuff that you started using ChatGPT for.
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Things like synthesizing texts or looking over emails or updating your CRM or creating spreadsheets.
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Things that you could do, not hard, but the AI does it way better, way faster.
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Yesterday I was working with my finance guy and he was working on a new proposal and I was like, bro, stop writing, just talk and give it to AI.
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It'll analyze the financials, it'll analyze your words and it'll put it together
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and it'll get us a table that gets us clear on the decisions we have to make to move it forward.
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Why are we trying to do stuff that's so wildly easy for AI
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that takes our time just because we can do it?
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These are just a small, tedious tasks that AI can do and you just wanna give it to it and automate it.
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I'm talking about things like meeting notes, right?
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I use Granola, it's one of the best tools out there, but essentially every meeting is recorded, it's summarized, it's tagged, it's added to Notion.
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It is the easiest thing.
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The other one is polling reports, okay?
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Think about the ability to have dashboards of all the data about your life
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and your business in one place so you can see if anything's going off, follow the numbers or what you expect them and it's just a really easy thing for it to do in autonomy.
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And then the third is to summarize your messages, okay?
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Think Slack, think email, think text messages.
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You can do a lot of stuff with AI that most people have no idea about.
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And these are just some examples.
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And I know the dopamine hit of clearing out your inbox and getting to inbox zero can feel awesome.
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But it still works and you don't have to do it.
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Let's let AI do it.
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So for example, this morning, I asked my agent to go check all of my messages, my email, my calendar, my Slack, and tell me the top three things that I need to prioritize today based on my goals.
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So it told me I had a YouTube shoot and a real shoot, so I got to save my energy.
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It told me that Anne needed a call to review the podcast that I'll be doing on my San Francisco trip.
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And it also said that team needed sign off on a new feature that we're adding to our Apex voice system.
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Now I know exactly what I need to do today without scrolling through the countless messages, without getting distracted, without doing stuff that I don't need to do.
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So how do you know when a task belongs in the G quadrant?
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I use what's called the rule of ours.
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First, is it repetitive?
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Is it something I have to do at least once a week?
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Second, is it rules-based?
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Does the task have the same inputs and outputs every single time?
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The third is, does it generate a return?
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Does it take me more time to run this whole automation than just do it every time?
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The last thing I wanna do is spend 60 hours to build something
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that takes me less than two minutes a week to do.
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So if the answer is yes to all three, repetitive, rule-based, and gives me a return on my time, then I hand it to the AI today.
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And look, you can use a ton of different AI tools for this quadrant.
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Some are , some are awesome.
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So to help you out, I put together my entire AI tech stack, every tool I use in every business that I own to run a super efficient business.
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It's 100% free.
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Just DM me the word YouTube stack on Instagram and I'll send it right over to you.
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Now that's the easy stuff and with it, you could probably free up a couple hours of your week.
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Now we need to move on to the next quadrant where the real work happens.
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Quadrant number two, accelerate.
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I know my handwriting sucks, but just listen to my words.
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Okay, accelerate.
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Now this is where it's hard for humans, but easy for computers.
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Really complicated processes.
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We're trying to find the signal in the noise.
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AI strives at this thing.
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And the cool part is you can accelerate all that work with AI, where AI buys you back days of work.
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So here are just a few things that you can use AI to accelerate with.
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First off is research.
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I use this probably the most every day.
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I have an idea.
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I go to my AI.
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I go, hey, do some research, find some people, tell me what you think.
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Hey, I found this link for this cool idea.
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Tell me based on what I'm using today, is it helpful, should I add it?
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Do deep research projects around strategic decisions.
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Look at my life, tell me, is there anything I'm missing?
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The other one is data analysis.
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If you're starting off as a business owner for data analysis, think about it.
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You have Facebook ads, you can get it analyzed.
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You have social media data, get it analyzed.
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You have contracts.
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Why don't you ask it to go analyze all your legal contracts to see if you sign something.
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You probably should know.
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You shouldn't be spending hours on spreadsheets, especially creating anything from scratch.
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That is where AI shines.
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Market breakdowns, like figure out what's going on in your industry, what's going on in the market.
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Every morning, I have multiple prompts that scan and research
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and figure out what's new in the news
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that tells me all the things I should be paying attention to as an innovator in my space.
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Your job as a leader is to be able to see around the corner.
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The news is out there.
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Have the AI go analyze it.
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When you think of tasks in this quadrant, these are the three questions you get to ask yourself.
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One, is it looking for a pattern?
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Because AI can spot patterns faster than any human.
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Two, would it take you hours to do manually?
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Or would you normally hire a really expensive specialist to do this?
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Think about like visual designers, researchers, consultants, that.
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Most consultants just ask you to borrow your watch and tell you what time it is.
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These are the signs that you should accelerate that type of work where you're processing it with AI.
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I see a lot of people not even accelerate because they're like, I just don't think the output is very good.
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And they're like, fine, then use my 10 80, 10 rule, 10% ideation, the input, the prompt, the innovation, have it do the 80% research, have it go do some of the work
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and then come in at the very end for the last 10% where you give it the thing
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that makes it really awesome.
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At least the AI took 80% of the work off of your plate, 80% done by somebody else or AI is a hundred 100% awesome.
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So, so far we've been giving AI just the easy stuff.
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This next quadrant is where we start adding the human element to the mix.
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Quadrant number three, integrate with AI.
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This is where it's like still hard for computers and hard for humans.
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AI can help you get some things done, but the human has to still be the director.
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And unfortunately, if you don't have experience or taste, it's actually really hard to get great work out of this.
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And the truth is, is the AI isn't perfect.
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Did you know if you asked the AI
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that you were gonna go wash your car
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and the car wash is 50 meters away from where you live and you asked it, should you take your car or walk, it would actually say you should walk?
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So right off the bat, it can't be left to do really important creative strategic work on its own.
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It doesn't have the context.
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It doesn't have the nuance.
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And this is where having it help you calibrate makes a lot of sense.
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AI can generate 2,700 versions of anything, but it still takes a human to look at it and go, that feels right.
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That is the way I would do that.
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So here are some things to integrate with AI.
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Number one is creative work.
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I really don't know many people in today's world, I don't care if it's media or ads or brainstorming or design or brand,
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where they're not using AI to come up with illustrations, examples, to help shape the idea, to give them something visual they can look at.
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Most music today uses AI in some aspect of the production or the beats or the sound.
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it still takes a human with an ear for what the world
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or the market or the culture wants to decide how you're going to finalize and shape a song.
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Next is digital products.
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This for me is like building out MVPs.
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Think about the prototypes.
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Think about the apps.
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If you haven't tried building something like an app or an artifact or some kind of visualization, you're missing the opportunity.
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That still requires taste, still requires vision to direct it, but the AI can execute.
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It can write the code.
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It could publish it online.
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It's kind of wild what it can do for you.
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And the third is strategy.
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Strategy equals sequencing.
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AI can suggest options, but AI doesn't know your personal preference.
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It doesn't know other people's psychology.
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It doesn't understand the situation, the landscape of your world.
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So it can give you ideas, but you still have to make the decision.
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So partnering with AI to give you those options, huge opportunity.
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For example, when I wanted to create a workbook for my book, buy back your time, I asked the AI, go through my book, pull out the frameworks and build me something I could look at.
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The first version was fugly.
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I couldn't believe that it would design these diagrams this way, that the workbook was laid out that way, but it at least gave me something to work with that I could prompt and change and prompt and change.
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And eventually I got it to a place where I'm like, yes, this looks good.
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Give it to my designer.
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He makes it look great.
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Now I have a completed workbook.
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The whole idea is AI is your partner in very creative and strategic work.
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So how do you know if a task belongs in this quadrant.
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There's three checks.
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One, does it require taste?
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Your personal opinion.
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AI can generate options like ads.
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It can generate emails, but it still requires you to pick the right one.
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Two, does it require vision?
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This is the strategy.
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This is the sequencing.
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The AI can execute, but it still needs to be told, do it in this sequence.
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That's why most developers build apps in plan mode.
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It shows them what the plan is.
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Then you can change the plan, the sequence.
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It gives you options.
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The human still decides the sequence or the phases it's gonna build in, then the AI could build it.
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And last, does it require care?
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AI can help you draft messages, but you may be the person that needs to deliver it because humans still want to hear from other humans.
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How many times have you been really pissed and you wanna send a message and you know you shouldn't?
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So you sit there and you work with AI to help it craft you 17 different variations.
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Am I the only one?
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That's just me.
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And then finally you find one that says the thing the way
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that you know the person is gonna receive and you're like, oh my gosh, crisis averted.
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That's this box.
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I don't think AI replaces humans.
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It actually takes away the things that have been keeping us apart.
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So if you answered yes to any of these, integrate it with AI.
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So you've handed AI the easy stuff, that's the give.
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Then you gave it the stuff to accelerate things that take you a lot of time, but it can do it really easily.
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Then we went to the AI and we've integrated it.
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So we start collaborating with it on some pretty creative work.
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Now this last quadrant is where you want to spend all of your time.
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Quadrant number four is no AI.
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These are the things that are easy for humans and wildly hard for computers.
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These are the moments that need your presence, not a prompt.
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I don't believe business is B2B.
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I think business is H2H, human to human.
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And like I said, the more we can give AI to do the stuff that keeps us away from being more human, the better the human experience is.
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No AI is actually the quadrant that makes you a weapon, irreplaceable.
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Now, taste, vision, care, don't just guide the action.
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They are the center of it.
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So here are some things I think you should never outsource to AI.
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One, leadership.
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People don't follow computers.
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They follow people.
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People inspire them.
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If you're a leader, by definition, it means you have followers.
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I've never met followers of an AI.
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There might be some weird people out there, but we'll leave that alone.
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I think that your opportunity to show up for people, to believe in them, to communicate, to invest in them, to build the people, that is a very human thing to do, not an AI thing to do.
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Number two is kind of like persuasion.
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I think that there are certain situations when you're doing certain negotiations that you need a person involved.
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When we're talking business development, we're talking partnerships.
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Yes, you can use computers for a lot of sales processes, but I'm a big fan.
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It's like, if it's important to your business, you show up.
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You look at them in the eye you sit knee to knee, when you're negotiating with somebody, that human part is what matters.
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Number three is coaching, right?
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It's different than training and it's different than just learning.
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Coaching means you sit down and you help guide somebody to become more.
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This is where I say you build the people and the people build the business.
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The best way to do that is to coach.
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Have them come into your work and shadow you.
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And number four is networking.
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This is where you go out and you talk to people hand to hand, voice to voice, and you build relationships with them.
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You find ways to add value.
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Most people's value is in their network.
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Your network equals your network.
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Nobody's going to trust their relationships with an AI.
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They'll trust you with it because if you're somebody that adds value, they know if they introduce you to somebody, you're going to add value to their life.
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Not your AI, not your email response, not your templates.
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They want to talk to you.
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And this quadrant right here comes down to one question.
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Does this revolve around your humanity?
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If a human is on the other end and they need to feel you, not a machine, then it's no AI.
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Me on stage is way different than you watching a video of me on stage.
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You hanging out with me in this room, way different than you just watching this video.
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That is where no AI comes into play.
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So there's four quadrants.
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We got to give to AI.
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We got to accelerate with AI.
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We got to integrate into our life and then there's no AI.
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And any task on your plate lives in one of these quadrants.
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Because here's the big idea.
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AI is reshaping every industry, every job, every business.
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There's a thing called the GDP value
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that actually shows you where AI is affecting what jobs at what percentages and how it's going to continue to evolve.
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There's just no future where the AI models don't get better and start doing more of the things for you.
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Learning this and working your way up to no AI, where you're the most envisioned, the most taste, the most care, that's where you compete.
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So drop a comment below
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and let me know what's the thing you would love to be doing more of
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that AI can't help you with because that is your focus and everything else, let's give it to AI.
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And remember, I put together an entire AI tech stack, every tool I use to run my $100 million business.
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If you want it, just find me on Instagram and message me YouTube stack and I'll send it right over to you.
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And if you want to see why I'm going all in on AI this year, click here and I'll See you on another side.
Об этой уроке
В этом уроке мы сосредоточимся на том, как правильно использовать ИИ для решения различных задач. Вы узнаете, что ИИ - это не решение проблем, а инструмент, который помогает вам в этом. Фокусируясь на правильном подходе к взаимодействию с ИИ, вы сможете улучшить свою продуктивность и определить, какие задачи лучше делегировать машине. Также мы обсудим, как развить навыки практики разговорного английского, чтобы вы могли свободно общаться и сотрудничать с различными инструментами.
Ключевая лексика и фразы
- ИС (ИИ) – Искусственный интеллект, который не решает задачи самостоятельно.
- Инструмент – Будь то компьютер или приложение, ИИ служит инструментом для повышения вашей эффективности.
- Задачи – Разделяйте задачи на те, которые должны решать вы, и те, которые лучше оставить ИИ.
- Матрица игр – Простая структура, помогающая понять, как сотрудничать с ИИ.
- Автоматизация – Делегирование рутинных задач ИИ для высвобождения вашего времени.
- Обзор сообщений – Используйте ИИ для анализа и сортировки ваших коммуникаций, таких как электронные письма и мессенджеры.
- Улучшение произношения – Практикуйте произношение, используя фразы из примеров.
Советы по практике
Чтобы эффективно улучшить произношение английского и освоить shadow speech, рекомендуется использовать метод shadowing. Это метод, при котором вы повторяете за носителем языка, синхронно с его речью. Вот несколько советов, как это сделать успешно:
- Слушайте внимательно: Начинайте обучение с медленно говорящих видео или аудио, чтобы начать захватывать произношение и интонацию.
- Повторяйте незамедлительно: После прослушивания нового материала старайтесь сразу же повторить за говорящим, используя интонацию и ритм.
- Записывайте себя: Сравнивайте свое произношение с оригиналом, чтобы замечать различия и работать над их устранением.
- Регулярность: Повторение – мать учения. Выделяйте время каждый день для практики говорения на английском, чтобы закрепить новый материал.
- Используйте материалы на английском: Найдите видео с темами, которые вас интересуют, чтобы сделать процесс изучения более увлекательным.
Применение этих советов поможет вам не только в практическом использовании английского языка, но и в улучшении вашей способности взаимодействовать с инструментами, которые вы используете в повседневной жизни.
Что такое техника Shadowing?
Shadowing — это научно обоснованная техника изучения языка, изначально разработанная для подготовки профессиональных переводчиков и популяризированная полиглотом доктором Александром Аргуэльесом. Метод прост, но эффективен: вы слушаете аудио на английском от носителей языка и немедленно повторяете вслух — как тень, следующая за говорящим с задержкой в 1–2 секунды. В отличие от пассивного прослушивания или грамматических упражнений, Shadowing заставляет мозг и мышцы рта одновременно обрабатывать и воспроизводить реальные речевые паттерны. Исследования показывают, что это значительно улучшает точность произношения, интонацию, ритм, связную речь, понимание на слух и беглость речи — что делает его одним из самых эффективных методов для подготовки к IELTS Speaking и реального общения на английском.