跟讀練習: This ONE AI Agent Will Make You So Productive It's Almost Unfair - 通過影片學習英語口語

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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.

108

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.

117

So don't stop at setting the goals.

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Check the work and keep refining.

119

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.

127

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.

142

You're counting days.

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It's a headline event.

144

But why do you have trouble remembering to take

145

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

153

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.

156

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.

161

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.

174

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

175

It goes out every Tuesday.

176

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

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I love writing it.

178

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.

189

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

190

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

191

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.

201

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

206

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

207

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.

209

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.

213

Thank you and I love you.

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本課的詞彙與口語要點

這節口語課以影片“This ONE AI Agent Will Make You So Productive It's Almost Unfair”為素材。影片中反覆出現的詞有：agent, interview, personal, tool, force。這段影片共有 213 個句子、2284 個單詞可供跟讀。講話部分時長為 16:24。說話人語速平穩，每分鐘約 139 個詞，很適合跟讀。 85% 的單詞屬於英語最常用的 3,000 詞，其餘的詞建議在練習前先學一下。

影片中的重點詞彙

影片中 15 個值得學習的單詞，附發音和釋義：

單詞	發音	釋義
habit 名詞	/ˈhæb.ɪt/	習慣 /習慣
steal 動詞	/stiːl/	偷, 盜 /盜
flood 名詞	/flʌd/	洪水, 洪災 /洪災
productivity 名詞	/ˌpɹɒdʌkˈtɪvəti/	生產力 /生產力, 效率
lecture 名詞	/ˈlɛk.t͡ʃə/	演講 /演講
headline 名詞	/ˈhɛd.laɪn/	標題 /標題
earn 動詞	/ɝn/	掙 /掙, 賺 /賺
priority 名詞	/pɹaɪˈɒɹɪti/	優先權 /優先權, 更重要的事
connect 動詞	/kəˈnɛkt/	連線 /連線
remind 動詞	/ɹəˈmaɪnd/	提醒
calendar 名詞	/ˈkæl.ən.də/	日曆 /日曆, 曆 /歷
cape 名詞	/keɪp/	角, 海角
filter 名詞	/ˈfɪltɚ/	過濾器 /過濾器, 濾過器 /濾過器
judgment 名詞	/ˈd͡ʒʌd͡ʒ.mənt/	判斷 /判斷
trigger 名詞	/ˈtɹɪɡɚ/	扳機 /扳機

影片中出現的短語動詞

單詞	發音	釋義
end up 動詞		到達
come back 動詞		回來 /回來, 返回
pass away 動詞		去世, 逝世
figure out 動詞		弄清楚
go out 動詞		出, 出口
go through 動詞		通過 /通過
slow down 動詞		減速 /減速, 放慢
wake up 動詞	/ˌweɪk ˈʌp/	醒, 醒來 /醒來

值得反覆跟讀的句子

影片中簡短而完整的句子，可以直接用在日常對話裡：

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?

影片中的語法

說話人最常用的結構，並附上影片中的原話：

結構	影片中的用法
現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事	have spent · you've already used · have landed
被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的	is crafted · is scattered · is actually scattered

需要注意的發音

說話人用了 33 次縮略和弱讀形式，例如 you're, don't, you'll。請按聽到的簡短形式來說。

“th” 音: breathe /bɹiːð/, gather /ˈɡæðɚ/
“sh” 和 “zh” 音: translation /tɹænzˈleɪʃən/, presentation /ˌpɹɛzn̩ˈteɪʃn̩/, specialist /ˈspɛʃəlɪst/, instruction /ɪnˈstɹʌkʃən/, accomplish /əˈkɑm.plɪʃ/
長單詞——注意重音位置: productivity /ˌpɹɒdʌkˈtɪvəti/, priority /pɹaɪˈɒɹɪti/, complexity /kəmˈplɛk.sɪ.ti/, continuous /kənˈtɪn.juː.əs/, autonomous /ɔˈtɑnəməs/

中文母語者容易讀錯的音：

/v/ — 不要讀成 /w/，上齒輕觸下唇: productivity /ˌpɹɒdʌkˈtɪvəti/, interviewer /ˈɪntɚvjuɚ/, whoever /huˈɛvɚ/, objective /ɒbˈd͡ʒɛk.tɪv/, productive /pɹəˈdʌk.tɪv/
詞尾子音 — 要讀清楚，後面不要加母音: prompt /pɹɑmpt/, habit /ˈhæb.ɪt/, flood /flʌd/, connect /kəˈnɛkt/, remind /ɹəˈmaɪnd/
/r/ 和 /l/ 的區別: translation /tɹænzˈleɪʃən/, principle /ˈpɹɪn.sɪ.pəl/, alarm /əˈlɑɹm/, realistic /ˌɹɪəˈlɪs.tɪk/, rehearsal /ɹɪˈhɝsl̩/

如何用這段影片練習

先完整聽一遍影片，不要開口，記下不認識的單詞。
用正常速度逐句跟讀，每句重複到你的節奏與說話人一致為止。
錄下自己的聲音並與原聲對比，特別注意 habit, steal, flood 這類單詞。

什麼是跟讀法？

跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。

影子跟讀法: 閱讀完整分步指南 →

跟讀練習: This ONE AI Agent Will Make You So Productive It's Almost Unfair - 通過影片學習英語口語

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