シャドーイング練習: This ONE AI Agent Will Make You So Productive It's Almost Unfair - 動画で英語スピーキングを学ぶ

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I have spent many years as a CEO

and board member in tech companies and AI companies and here's what I am seeing.

One AI tool that knows you really well is better than 10

that don't and the longer you use it the more productive you become.

So in this video podcast I will show you how to build

that one personal AI agent whichever platform you use

and we will use that personal AI agent to defeat the four forces that drain your productivity.

The first three forces steal your hours, but the last one steals your years.

The best AI tool is the one that saves you from opening another one.

Whatever you're trying to accomplish, your time and your attention are limited by default.

The more you spend managing the little things, the less you'll have left for the things that matter.

So here's the challenge.

Instead of one great AI chief of staff, we end up hiring a crowd of AI interns.

And you end up spending more time managing them and you become their chief of staff.

And that needs to change.

So what makes these personal AI agents different from the chatbots that you've already used?

Well, there are three things.

How do you remember them?

The easiest way to think about it is what I call ACT, A -C -T.

First, they're autonomous.

So you give it a goal and it figures out how to get the job done.

It runs on its own computer in the cloud.

It can work with other tools, other agents, other apps.

It can browse the web.

It can take actions.

Second, it's continuous.

So it doesn't stop working when you close the tab or you close the chat or you close your laptop.

It can orchestrate a task that can run for hours.

It'll come back to you when it's done.

And third, tailored.

It is crafted and trained with personalization in mind.

So it remembers your goals, your preferences, and how you like things done.

And by the way, I'm going to use ChatGPT's Dots, which is their personal AI agent, for the demos in this video.

But the principles apply to all personal AI agents, whether you're using Claude Cowork,

or Google's Gemini agent, or Meta has

Muse now, or Grok has GrokBot.

So you can pick your favorite tool.

The approach is the same.

Now, one rule to remember, let them manage, let them execute, let them partner with you, but it's you who makes the final call.

Otherwise, your agent might end up posting your bank statement on your Instagram story.

So be careful.

Let's start with the first force, fragments.

There is a job you do 1 ,200 times a day and it's not in your job description.

Sometimes all these AI tools make me feel like I am a tool.

In 2022, researchers published an article in Harvard Business Review.

They tracked employees of Fortune 500 companies over a month,

and they tracked and logged every time someone switched from one app or website to another.

The average person switched nearly 1 ,200 times a day.

Now, each switch costs only about two seconds, so that's about 40 minutes a day.

But that's as long as a lunch break.

But there's something more alarming in terms of hidden costs.

So fragmentation damages the quality of your attention.

Why?

Because the information we need is scattered everywhere.

So you spend time hunting for the information you need to do the work before you can actually do the work.

That's the first force.

Your personal AI agent has to fight that force.

And that AI agent needs to become the glue

that connects all your apps and information islands so you can focus on harvesting the info, not hunting for it.

Let's go through an example.

Imagine you have landed an interview for a job you have wanted for years.

This could change your career.

But now what?

Because your resume is in Google Drive somewhere, your notes from previous interviews sit somewhere else, the job description is somewhere else.

Your conversations with the recruiter are in some emails.

The company background is out there somewhere.

The evidence of your best work is actually scattered across the entire drive in presentations and documents and emails.

So this would take days to consolidate.

How do you position yourself for this interview?

Why not try something different?

You can go for a walk.

with your personal ai agent you can prompt it you can say

i've got an interview for a job

i have wanted for years help me walk in as the

most prepared candidate they've ever seen use my resume my past work my emails company background and research the company's interview process

Now, this could be any company, but here's what companies are doing right now.

McKinsey, for example, is testing AI agents that play a client in interviews for entry -level consultants.

So the candidate has to work through the client's problem live while the human interviewer is watching and scoring them.

That's the world we're walking into.

So your interview prep has to move up a level too, right?

You tell your AI agent to simulate that interview.

The prompt would be something like, now simulate the interview based on what you've learned about me and the role and the company.

Ask me realistic questions.

Challenge my answers.

And push back when my reasoning is weak.

Don't make it easy.

And then when you're finished, you can ask it to critique your performance, your answers.

You can write up notes and you can do it again.

Now, here's the best part.

If the interview goes badly, hey, who cares?

That was just a rehearsal.

Do it again and again.

At least you got your 10 ,000 steps in.

So your agent gathers everything.

It visits seven different tools and apps and acts like your interviewer.

And you focus on just one thing, getting better and getting that job.

Now, remember that these agents can get information from other places only after you connect them to those specific apps and tools.

Now, let's move to fighting the second force that slows down productivity, flood.

117 emails, 153 chat messages every single day.

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The best thing your AI agent can do might be what it never shows you.

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In 2025, Microsoft surveyed about 31 ,000 people.

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The average worker received 117 emails and 153

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Teams messages a day.

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Most of those emails got less than a minute of attention, sure, but that's the flood of information.

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And that's not even including the social media stuff that comes at you from every direction.

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And somewhere in there is that one message that actually mattered.

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And also the things that matter are usually pretty complex.

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So researchers at Carnegie Mellon tested

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Americans with private insurance on four basic terms like deductible

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and copay and only 14 % got all four definitions right

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so you're fighting two floods really too much reaches you all the time

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and at times it is too dense to act on

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and this is where your personal AI agent comes in handy it can filter the noise

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and decide what deserves your attention and simplify what deserves your judgment

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and that's exactly what a chief of staff would do right of course there's also the risk whoever

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or whatever is the gatekeeper decides what you get to see.

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So don't stop at setting the goals.

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Check the work and keep refining.

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So let's create that filter.

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Prompt your personal AI agent something like, I want to protect my focus and I want to only get pulled away for what truly needs me.

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So at 10 a .m., 1 p .m., and 4 p .m., check my emails, my messages,

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my calendar, and flag only decisions waiting for me.

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Deadlines that moved or changes that I need to know about park everything else for a 5 p .m summary.

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And this is a great prompt.

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I use it all the time

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Because you'll be surprised how much of your urgent work can wait until 5 p .m.

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And some of it can even wait until you retire.

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And, okay, what about the complexity?

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Well, this is how you untangle it.

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Let's say you're reviewing the lease for your new apartment.

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Okay, get it and give it to your personal agent and it will help.

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You can say something like, I'm about to sign this lease and I want to know exactly what I am agreeing to.

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You see, in all of these prompts, you're giving objectives, not just instructions, goals, not just guidance.

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Flag anything that could cost me money or limit what I can do and show me the exact clauses.

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Great prompt, you now have a translation layer between complexity and simplicity.

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You can quickly move from consuming information to making decisions.

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And that brings us to the third force, frequency, the work that keeps coming back whether you're ready or not.

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You remember to eat dinner every night.

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It's a habit.

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You'll remember you're flying to Paris with the love of your life three weeks from now

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and you can't wait to start packing.

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You're counting days.

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It's a headline event.

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But why do you have trouble remembering to take

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that vitamin once a week i do for two reasons first a habit is built by repetition

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and a weekly task doesn't get enough repetition to become a habit second

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we all need a trigger to remind us about those infrequent

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but recurring tasks no habit no headline no hope of tracking

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it unless of course

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you have your friendly neighborhood AI agent let me give you a real example a few weeks ago

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I bought my iPhone 18 you know I usually buy my iPhone every four years

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or so there's no reason to upgrade it otherwise

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but two days ago my agent reminded me hey your trade -in kit arrived about 14 days ago

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so today is the last day for you to return your old iPhone for your trade -in.

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I was like, oh wow, thank you, capes.

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That's her name, by the way.

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In my mind, she's a superhero who can juggle a hundred things at once, and I can't remember where I left my phone.

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So here's another example.

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My jaw used to block my airwaves when I used to sleep.

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So I would wake up 34 times every hour because my brain would jolt me awake every time I stopped breathing.

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So it's fixed now, but the other day I sent Capes a quick line saying, when was the last time I saw my pulmonologist,

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the sleep disorder specialist and of course she came back

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and said it's been a year so i asked her to set up an appointment

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and then this is the most important thing i said make sure

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i see my doctor every three to four months

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and that's how you make your agent your trigger

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and here's another thing to keep in mind my ai agent only set the appointment

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it did not have my health records or any financial information.

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Now, I am not comfortable sharing any of that with AI.

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That's my choice.

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For now, you can make your own judgment.

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So, here's your action item.

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Pick one thing in your life with no habit and no headline and hand it to your agent this week.

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And by the way, if you like these ideas, you'll enjoy my newsletter as well.

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It goes out every Tuesday.

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One insight, one tool, one practice and it's free.

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I love writing it.

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The link is right below.

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So far, these agents are helping you earn back your attention, your evenings, your peace of mind.

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But that leads us to a bigger question.

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What are you going to do with it?

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That's the fourth force, future.

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The first three forces steal your hours.

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This one steals your years.

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I'll do it later is how life slips away.

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There is a famous video on YouTube called The Last Lecture.

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You may have seen it already.

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It's by computer science professor Randy Pausch.

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And he gave it many years ago when he knew that he only had a few months to live.

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He had pancreatic cancer and he also gave another lecture before passing away

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and that was on time management in that one he talks about how

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Americans as a culture are very interested in money how much someone earns how they spend it their net worth

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and so on and on but we're not that interested in time

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We make a budget on how we spend money.

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but we don't budget how we spend time.

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And Randy's insight was, we have it backwards.

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He passed away less than a year after that lecture.

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He was 47, and he knew the value of time.

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So he spent it on what mattered the most.

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So here's the real question.

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AI agents will give you back time.

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What are you gonna do with it? productivity is great only

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when it helps you achieve your purpose

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so here's the action item write down three things you keep saving for the future

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and then tell your agent these are the priorities every Sunday evening review my calendar

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and work from this week tell me what I did to achieve these priorities and what I should change next week.

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Now your agent moves you to what matters to you and toward your future.

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The strange thing about time is that it feels precious only when there is less of it left.

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So take a look at your watch.

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Really, look.

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you know what time it is?

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It's your time.

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Thank you and I love you.

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このレッスンの語彙とスピーキングのポイント

このスピーキングレッスンは、動画「This ONE AI Agent Will Make You So Productive It's Almost Unfair」を教材にしています。繰り返し出てくる語は次のとおりです：agent, interview, personal, tool, force。この動画には、シャドーイング用の文が213文、単語が2284語あります。音声の長さは16:24です。話す速さは1分あたり約139語で安定しており、シャドーイングしやすいペースです。単語の85%は英語の頻出3,000語に含まれます。残りは練習の前に確認しておきましょう。

この動画の重要語彙

動画に出てくる覚えておきたい単語15語を、発音と意味つきで紹介します。

単語	発音	意味
habit 名詞	/ˈhæb.ɪt/	習慣
steal 動詞	/stiːl/	盗む
flood 名詞	/flʌd/	洪水, 大水
productivity 名詞	/ˌpɹɒdʌkˈtɪvəti/	生産性
lecture 名詞	/ˈlɛk.t͡ʃə/	講義
headline 名詞	/ˈhɛd.laɪn/	見出し, 標題
earn 動詞	/ɝn/	稼ぐ, 得る
priority 名詞	/pɹaɪˈɒɹɪti/	優先, 優先権
connect 動詞	/kəˈnɛkt/	繋げる
remind 動詞	/ɹəˈmaɪnd/	思い出させる
calendar 名詞	/ˈkæl.ən.də/	暦, カレンダー
cape 名詞	/keɪp/	岬, 崎
filter 名詞	/ˈfɪltɚ/	濾過器, フィルター
judgment 名詞	/ˈd͡ʒʌd͡ʒ.mənt/	判決, 裁き
trigger 名詞	/ˈtɹɪɡɚ/	引き金, 鉷

動画に出てくる句動詞

単語	発音	意味
come back 動詞		戻る, 帰る
pass away 動詞		逝く, 亡くなる
go out 動詞		出る
slow down 動詞		遅らせる
wake up 動詞	/ˌweɪk ˈʌp/	目覚める, 目を覚ます
write down 動詞		書き留める, 記す

繰り返し練習したい文

動画に出てくる短く完結した文です。日常会話でそのまま使えます。

How do you remember them?
It'll come back to you when it's done.
How do you position yourself for this interview?
What are you going to do with it?
What are you gonna do with it?

この動画の文法

話し手がよく使っている文型を、動画の実際の表現とともに紹介します。

文型	動画での表現
現在完了形 have/has + 過去分詞 — 過去の出来事が今も関係している	have spent · you've already used · have landed
受動態 be + 過去分詞 — 誰がするかより、何が起きるかに焦点を当てる	is crafted · is scattered · is actually scattered

注意したい発音

話し手はyou're, don't, you'llなど、短縮形や弱形を33回使っています。聞こえたとおりの短い形で発音しましょう。

「th」の音: breathe /bɹiːð/, gather /ˈɡæðɚ/
「sh」と「zh」の音: translation /tɹænzˈleɪʃən/, presentation /ˌpɹɛzn̩ˈteɪʃn̩/, specialist /ˈspɛʃəlɪst/, instruction /ɪnˈstɹʌkʃən/, accomplish /əˈkɑm.plɪʃ/
長い単語（アクセントの位置に注意）: productivity /ˌpɹɒdʌkˈtɪvəti/, priority /pɹaɪˈɒɹɪti/, complexity /kəmˈplɛk.sɪ.ti/, continuous /kənˈtɪn.juː.əs/, autonomous /ɔˈtɑnəməs/

日本語話者が苦手な音：

/r/ と /l/ の区別 — /l/ は舌先を歯茎につけ、/r/ はどこにもつけない: translation /tɹænzˈleɪʃən/, principle /ˈpɹɪn.sɪ.pəl/, alarm /əˈlɑɹm/, realistic /ˌɹɪəˈlɪs.tɪk/, rehearsal /ɹɪˈhɝsl̩/
/v/ — /b/ にならないように、上の歯を下唇に当てる: productivity /ˌpɹɒdʌkˈtɪvəti/, interviewer /ˈɪntɚvjuɚ/, whoever /huˈɛvɚ/, objective /ɒbˈd͡ʒɛk.tɪv/, productive /pɹəˈdʌk.tɪv/
/f/ — 「フ」ではなく、上の歯と下唇で出す: flood /flʌd/, filter /ˈfɪltɚ/, frequency /ˈfɹiːkwənsi/, craft /ˈkɹæft/, default /dɪˈfɔlt/

この動画での練習方法

まず声を出さずに動画を最後まで聞き、知らない単語をメモします。
通常の速度で一文ずつシャドーイングし、話し手のリズムに合うまで繰り返します。
自分の声を録音して元の音声と比べます。habit, steal, floodなどの単語に特に注意しましょう。

シャドーイングとは？英語上達に効果的な理由

シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。

シャドーイングのやり方: ステップ別の完全ガイドを読む →

シャドーイング練習: This ONE AI Agent Will Make You So Productive It's Almost Unfair - 動画で英語スピーキングを学ぶ

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