शैडोइंग अभ्यास: This ONE AI Agent Will Make You So Productive It's Almost Unfair - वीडियो के साथ अंग्रेजी बोलना सीखें

अभ्यास मोड चुनें

हर मोड पूरी स्क्रीन का अभ्यास कक्ष खोलता है।

213 वाक्य

यदि वाक्य बहुत छोटे या लंबे हों, तो समायोजित करने के लिए Edit पर क्लिक करें।

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.

100

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

101

In 2025, Microsoft surveyed about 31 ,000 people.

102

The average worker received 117 emails and 153

103

Teams messages a day.

104

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

105

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

106

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

107

And also the things that matter are usually pretty complex.

108

So researchers at Carnegie Mellon tested

109

Americans with private insurance on four basic terms like deductible

110

and copay and only 14 % got all four definitions right

111

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

112

and at times it is too dense to act on

113

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

114

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

115

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

116

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

117

So don't stop at setting the goals.

118

Check the work and keep refining.

119

So let's create that filter.

120

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.

121

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

122

my calendar, and flag only decisions waiting for me.

123

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

124

And this is a great prompt.

125

I use it all the time

126

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.

128

And, okay, what about the complexity?

129

Well, this is how you untangle it.

130

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

131

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

132

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

133

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

134

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

135

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

136

You can quickly move from consuming information to making decisions.

137

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

138

You remember to eat dinner every night.

139

It's a habit.

140

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

141

and you can't wait to start packing.

142

You're counting days.

143

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

146

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

147

we all need a trigger to remind us about those infrequent

148

but recurring tasks no habit no headline no hope of tracking

149

it unless of course

150

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

151

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

152

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

154

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

155

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

156

That's her name, by the way.

157

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.

158

So here's another example.

159

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

160

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,

162

the sleep disorder specialist and of course she came back

163

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

164

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

165

i see my doctor every three to four months

166

and that's how you make your agent your trigger

167

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

168

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

169

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

170

That's my choice.

171

For now, you can make your own judgment.

172

So, here's your action item.

173

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.

177

I love writing it.

178

The link is right below.

179

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

180

But that leads us to a bigger question.

181

What are you going to do with it?

182

That's the fourth force, future.

183

The first three forces steal your hours.

184

This one steals your years.

185

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

186

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

187

You may have seen it already.

188

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

192

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

193

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

194

We make a budget on how we spend money.

195

but we don't budget how we spend time.

196

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

197

He passed away less than a year after that lecture.

198

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

199

So he spent it on what mattered the most.

200

So here's the real question.

201

AI agents will give you back time.

202

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

203

when it helps you achieve your purpose

204

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

205

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.

208

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.

210

Really, look.

211

you know what time it is?

212

It's your time.

213

Thank you and I love you.

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इस पाठ की शब्दावली और बोलने के सुझाव

यह स्पीकिंग पाठ वीडियो “This ONE AI Agent Will Make You So Productive It's Almost Unfair” पर आधारित है। सबसे ज़्यादा दोहराए गए शब्द ये हैं: agent, interview, personal, tool, force। इस वीडियो में शैडोइंग के लिए 213 वाक्य और 2284 शब्द हैं। बोला गया हिस्सा 16:24 लंबा है। वक्ता लगभग 139 शब्द प्रति मिनट की स्थिर गति से बोलता है, जो शैडोइंग के लिए आरामदायक है। 85% शब्द अंग्रेज़ी के 3,000 सबसे आम शब्दों में से हैं; बाकी शब्द अभ्यास से पहले देख लेना अच्छा रहेगा।

इस वीडियो की मुख्य शब्दावली

वीडियो के 15 सीखने लायक शब्द, उच्चारण और अर्थ के साथ:

शब्द	उच्चारण	अर्थ
habit संज्ञा	/ˈhæb.ɪt/	अभ्यास, आदत
steal क्रिया	/stiːl/	चुराना
flood संज्ञा	/flʌd/	बाढ़, सैलाब
lecture संज्ञा	/ˈlɛk.t͡ʃə/	लेक्चर
headline संज्ञा	/ˈhɛd.laɪn/	शीर्षक
earn क्रिया	/ɝn/	कमाना
priority संज्ञा	/pɹaɪˈɒɹɪti/	अग्रिमता, प्राथमिकता
remind क्रिया	/ɹəˈmaɪnd/	याद दिलाना
calendar संज्ञा	/ˈkæl.ən.də/	कालदर्शक, पंचांग
filter संज्ञा	/ˈfɪltɚ/	फ़िल्टर, साफी
judgment संज्ञा	/ˈd͡ʒʌd͡ʒ.mənt/	मूल्यांकन
researcher संज्ञा	/ˈɹiˌsɝ.t͡ʃɚ/	शोधकर्ता, शोधक
cloud संज्ञा	/ˈklaʊ̯d/	मेघ, बादल
worker संज्ञा	/ˈwɝ.kɚ/	मज़दूर, श्रमिक
hire क्रिया	/ˈhaɪɹ/	नियुक्त करना

वीडियो में आने वाली फ़्रेज़ल वर्ब

शब्द	उच्चारण	अर्थ
come back क्रिया		वापस आना
go out क्रिया		बाहर निकलना, निकलना
wake up क्रिया	/ˌweɪk ˈʌp/	जागना

दोहराने लायक वाक्य

वीडियो के छोटे, पूरे वाक्य जिन्हें आप रोज़ की बातचीत में इस्तेमाल कर सकते हैं:

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?

इस वीडियो का व्याकरण

वक्ता जिन संरचनाओं का सबसे अधिक प्रयोग करता है, वीडियो के असली शब्दों के साथ:

संरचना	वीडियो में
Present perfect have/has + past participle — बीता हुआ काम जिसका असर अभी भी है	have spent · you've already used · have landed
Passive voice be + past participle — ज़ोर इस पर कि क्या होता है, न कि कौन करता है	is crafted · is scattered · is actually scattered

ध्यान देने योग्य उच्चारण

वक्ता 33 बार संक्षिप्त रूपों का प्रयोग करता है, जैसे you're, don't, you'll। इन्हें वैसे ही छोटा बोलें जैसा आप सुनते हैं।

“th” की ध्वनियाँ: breathe /bɹiːð/, gather /ˈɡæðɚ/
“sh” और “zh” की ध्वनियाँ: translation /tɹænzˈleɪʃən/, presentation /ˌpɹɛzn̩ˈteɪʃn̩/, specialist /ˈspɛʃəlɪst/, instruction /ɪnˈstɹʌkʃən/, accomplish /əˈkɑm.plɪʃ/
लंबे शब्द — बलाघात सही रखें: productivity /ˌpɹɒdʌkˈtɪvəti/, priority /pɹaɪˈɒɹɪti/, complexity /kəmˈplɛk.sɪ.ti/, continuous /kənˈtɪn.juː.əs/, autonomous /ɔˈtɑnəməs/

हिंदी भाषियों के लिए मुश्किल ध्वनियाँ:

/v/ और /w/ का फ़र्क़ — /v/ में ऊपर के दाँत निचले होंठ को छूते हैं, /w/ में होंठ गोल होते हैं: productivity /ˌpɹɒdʌkˈtɪvəti/, interviewer /ˈɪntɚvjuɚ/, worker /ˈwɝ.kɚ/, whoever /huˈɛvɚ/, frequency /ˈfɹiːkwənsi/
/z/ — इसे “ज” (/dʒ/) न बनाएँ: resume /ˈɹɛz.ə.meɪ/, translation /tɹænzˈleɪʃən/, presentation /ˌpɹɛzn̩ˈteɪʃn̩/, clause /klɔːz/, newsletter /ˈn(j)uzˌlɛtɚ/
शब्द की शुरुआत में s + व्यंजन — पहले “इ” न जोड़ें: steal /stiːl/, slip /ˈslɪp/, specialist /ˈspɛʃəlɪst/, scatter /ˈskætɚ/

इस वीडियो से अभ्यास कैसे करें

पहले बिना बोले पूरा वीडियो एक बार सुनें और जो शब्द नहीं आते उन्हें लिख लें।
सामान्य गति पर एक-एक वाक्य की शैडोइंग करें और हर वाक्य तब तक दोहराएँ जब तक आपकी लय वक्ता से न मिल जाए।
अपनी आवाज़ रिकॉर्ड करें और मूल से तुलना करें, ख़ासकर habit, steal, flood जैसे शब्दों पर ध्यान दें।

शैडोइंग तकनीक क्या है?

शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।

शैडोइंग तकनीक: पूरी चरण-दर-चरण गाइड पढ़ें →

शैडोइंग अभ्यास: This ONE AI Agent Will Make You So Productive It's Almost Unfair - वीडियो के साथ अंग्रेजी बोलना सीखें

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इस पाठ की शब्दावली और बोलने के सुझाव

इस वीडियो की मुख्य शब्दावली

वीडियो में आने वाली फ़्रेज़ल वर्ब

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