Практика Shadowing: Can AI Replace UX Designers? Claude Ultracode Wins! - Изучайте разговорный английский по видео

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151 предложений
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So let's say you have a working app that solves a real problem, but users are struggling with it.
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What do you do?
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You either hire a UX designer or you try to fix it yourself with AI.
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So you decide to give it a shot with AI.
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Now where do you start?
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You can't just tell AI to fix the UX and let it figure everything out, right?
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Well, I just realized that with Claude, you can actually do that.
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Just last week, I made a video where I shared my simplified professional UX process into prompts
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that will get your AI to follow the correct methods to identify UX problems and to fix them.
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And I specifically said that you can't just tell AI to fix your UX
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and expect it to create a coherent user -friendly product.
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Well, I was wrong.
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The problem with my assumption is that I only tested it with Codex, and I assumed that Codex and Claude were somewhat at the same level,
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since that's what the benchmarks are saying.
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But that's not the case.
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Claude just reached a level where I honestly didn't think would be possible this soon.
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And after this video, I'm not going to be using Codex for coding and UI UX anymore.
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My name is Jad.
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I've been UI UX designer for over 10 years, but now everything is changing
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if you want to stay updated on how ai is changing my work make sure
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you turn on the notification bell and
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if you need any help with ui ux
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or coding you can submit your project on ai tooltip .com the example
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i'm going to show you is a marketing platform
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that i built in a recent video it's for my wife to manage her own marketing clients
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and she's been adding features to it based on her usage requirements
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so of course now it has a lot of usability issues and it's my turn to improve the UX.
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I made two copies of the same platform.
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I put one through my own AI UX workflow with the prompts
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that I shared in my last video and I gave the other to Claude to fix all on its own.
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Then I'll show you how Claude compares to Codex just for fun.
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I think you know where this is going, but keep watching till the end because it all comes together.
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And I'm going to tell you how I'm going to be approaching UX projects from now on.
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Now, for my workflow, I gave AI multiple consecutive prompts to identify UX issues.
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And it found 26 problems.
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And then I fixed them by priority.
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Now, this is not manual UX work.
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I'm still using AI to identify the problems and to fix them.
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But I'm guiding the AI based on my own process to identify user context issues,
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to make sure the user journey is optimized and to fix consistency issues
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and states issues and to make sure everything is considered.
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Now for the other copy of the platform, I simply gave it to Claude and I said, you are a UX expert,
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analyze and optimize the whole platform.
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I put it on Opus 5 .5 in UltraCode, which is the maximum effort on the latest model.
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It worked for a while on its own.
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It ran multiple agent tests and many, many commands.
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It found 40 problems and it fixed everything just with that one prompt.
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Now I went through the two improved platforms and I compared them.
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There's noticeable differences and I'm gonna say it up front.
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I liked what Claude did on its own more than what my own workflow produced and that's why I'm making this video.
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Now that doesn't mean we don't need you ex -designers anymore.
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I'm just comparing AI with AI here.
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Whether we need to know how to prompt it or if anyone can just say fix the UX.
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Let me show you the results side by side and then I'll show you an analysis of how the two results compare.
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On the left side is the result of my own workflow
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and on the right side is what Claude did all on its own.
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The first thing I noticed here is how Claude moved the client selector to the top bar
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and made that bar sticky so it doesn't move when I scroll.
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That means I always know which client I am working on.
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This is a very good improvement that my workflow did not identify.
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Here when you select a client and scroll you won't be able to identify which client you are working on.
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But here it adds clarity.
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Very much needed.
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Claude also consolidated all the text in the top section of the page to have less debt space.
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That's also very important because this is a high priority real estate.
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What you see on your screen before scrolling should be the high priority stuff.
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So more space for content is always better.
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Another thing I immediately noticed here is how the navigation is organized.
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Originally I had no groups but now both results are improving on that.
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They grouped the menu items in different ways and based on my wife's usage she prefers what Claude did.
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It makes more sense in terms of usability and user journey.
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It's also visually easier to scan because it's more compact.
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Even here at the bottom Claude reduced the amount of text and made the whole thing clickable.
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As opposed to here where you have just a small target to click, it makes sense.
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Another great improvement from Claude.
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Now the dashboard itself also got improved in both cases, but Claude is more optimized towards what the user actually needs.
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Here on the left side, there's a lot of wasted space just to display the status of the client,
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then a long list of to -do items, then you get to the progress tracking.
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But what Claude did here on the right side is impressive from my UX perspective.
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This to -do list is smaller, more compact, and it grouped the important tasks at the top.
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Here on the left, you have to look all the way down to see a task due today.
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But Claude surfaced it to the top here.
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And even the language is much more helpful.
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Needs attention is better than tasks and this see all button is much better than all reminders.
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All reminders does not tell me what action I am taking if I click it.
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It's a little bit confusing because I don't know
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if these are all my reminders or if I click it I see all my reminders.
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Cloud also introduced something different here where you can see more items without leaving the page.
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That way it can make the list smaller.
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Small things like that improve the usability a lot.
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Overall much better visibility and interaction in Claude's UX design.
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And if you want a copy of this improved marketing platform let me know in a comment
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and I'll be happy to share it.
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All right let's go deeper and complete a user task.
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Let's assess this content performance.
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On the left side I'll click write assessment and here this is a new improvement it's telling me what I'm assessing.
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It's actually showing me the result here, which is very important info.
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It does not show me what I'm assessing here.
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And it does not show me the previous result, which is important info to have.
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So this one is better in my workflow, because I explicitly told it to analyze user intent and context and goals.
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So for this feature, I get the win.
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There's also a lot of improvements
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that Claude did on its own in the campaign strategies page
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it decided to move my strategies to the top instead of scrolling down to find them here
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i can see my strategies then how they are doing my wife also preferred claude here
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now i won't waste your time too much here analyzing
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but let me know in the comments
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if you want a more in -depth analysis for ux for complex platforms like this one i would be happy to share.
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Here's how the two results compare.
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This is based on my test result and the report that came out of each AI.
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Now in terms of UI change, Claude did better by considering these areas that I showed you in my review.
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But on a deeper level, my workflow actually improved things that Claude did not really catch,
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like helping the user with relevant context for certain actions and failed save recovery.
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These are things to avoid user frustration and improve user satisfaction.
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So if you want max optimization, ask Claude to do its thing, and then follow up by using the prompts from my previous video.
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And just for fun, let me show you what ChatGPT did with Codex on the latest and strongest model.
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Here I have sold 6 .1 on UltraEffert, and I gave it the same prompt, and the result is not even close to what Claude did.
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When I used Codex on the strongest model, I thought it would be close to Claude, but the result here is just not good at all.
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Here, it did not consider any of the usability changes that Claude did.
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It kept mostly everything the same as it was.
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Nothing really changed with the main user flow and the context of the user.
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Claude is much better.
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So this tells me that we still need to guide the AI to find deeper usability issues,
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but AI is only getting more powerful from this point.
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Who knows, maybe with the next update things can become easy for AI to spot.
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But what surprised me is that Claude didn't just clean up the interface, it made decisions about what the user needs to see,
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what needs attention first, and where actions belong.
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And in many of the flows that I showed you, I preferred Claude's version, And so did my wife, who is actually using the platform.
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My workflow still helped in specific areas.
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But what Claude did is real independent UX work from just one prompt.
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And that changes how I would approach UX next time.
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I would let Claude do the first pass, then test the important journey with real users who are actually using the product.
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Where do they hesitate?
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What information is missing?
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Real user testing will never be eliminated by AI.
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A week ago I said you couldn't just ask AI to fix your UX
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and expect it to do the work we do as designers.
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This experiment proved me wrong.
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So I'm changing my opinion.
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AI can now make good UX improvements without expert guidance.
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It can still miss some things, but I think it produces good enough UX to launch a product.
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And considering the rate at which AI is improving, I'm sorry to say this, but soon UI UX jobs won't be needed anymore.
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We would still need UX research and strategy, yes.
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We would also need to conduct real user testing and analysis.
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That still takes human experience.
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So the most important thing I want to leave you with is that everyone should be using AI.
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Let me know what you think.
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Do you agree?
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Do you disagree?
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I always answer everything down in the comments.
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Cheers.

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Лексика и советы по произношению к этому уроку

Этот урок разговорной практики построен на видео «Can AI Replace UX Designers? Claude Ultracode Wins!». Чаще всего повторяются слова: claude, user, result, fix, workflow. В этом видео 151 предложений и 1903 слов для шедоуинга. Речь длится 10:46. Говорящий говорит в естественном темпе, около 177 слов в минуту, близком к повседневной речи. 83% слов входят в 3000 самых частых слов английского языка; остальные стоит разобрать перед занятием.

Ключевая лексика этого видео

15 слов из видео, которые стоит выучить, с произношением и значением:

СловоПроизношениеЗначение
prompt глагол/pɹɑmpt/побужда́ть, внуша́ть
compare глагол/kəmˈpɛɚ/сра́внивать, сравни́ть
designer существительное/dɪˈzaɪnɚ/диза́йнер
reminder существительное/ɹɪˈmaɪndə(ɹ)/напомина́ние
scroll существительное/skɹoʊl/сви́ток
priority существительное/pɹaɪˈɒɹɪti/приорите́т
assess глагол/əˈsɛs/определя́ть, определи́ть
analyze глагол/ˈæn.əˌlaɪz/анализи́ровать, проанализи́ровать
usage существительное/ˈjuːsɪd͡ʒ/испо́льзование, примене́ние
compact прилагательное/kəmˈpækt/компа́ктный, пло́тный
impressive прилагательное/ɪmˈpɹɛsɪv/впечатля́ющий, внуши́тельный
assessment существительное/əˈsɛsmənt/оце́нка налогообложе́ния
cloud существительное/ˈklaʊ̯d/о́блако, ту́ча
select глагол/sɪˈlɛkt/отбира́ть
helpful прилагательное/ˈhɛlp.fl̩/поле́зный, любе́зный

Фразовые глаголы, которые вы услышите

СловоЗначение
clean up глаголубира́ться, прибираться

Грамматика в этом видео

Конструкции, которые говорящий использует чаще всего, с точными словами из видео:

КонструкцияВ видео
Пассивный залог be + причастие прошедшего времени — важно, что происходит, а не кто это делаетis optimized · is considered · is organized
Придаточные определительные who / which + предложение — уточнение о человеке или предметеUltraCode, which is · here, which is · result, which is
Present Perfect have/has + причастие прошедшего времени — прошлое действие, важное сейчасI've been · have sold

Произношение, на которое стоит обратить внимание

Говорящий использует 31 сокращённых и редуцированных форм, например I'm, I'll, won't. Произносите их коротко, так, как слышите.

  • Звуки «sh» и «zh»: interaction /ˌɪn.təˈɹæk.ʃən/, satisfaction /sætɪsˈfækʃən/, assumption /əˈsʌm(p).ʃ(ə)n/, navigation /nævɪˈɡeɪʃən/, frustration /fɹʌsˈtɹeɪ.ʃən/
  • Длинные слова — следите за ударением: priority /pɹaɪˈɒɹɪti/, experiment /ɪkˈspɛɹ.ə.mənt/, interaction /ˌɪn.təˈɹæk.ʃən/, consecutive /kənˈsɛkjʊtɪv/, satisfaction /sætɪsˈfækʃən/

Звуки, трудные для русскоязычных:

  • /w/ — губы округлены, это не /v/: requirement /ɹɪˈkwaɪɹmənt/, workflow /ˈwɝkfloʊ/
  • /h/ — лёгкий выдох, а не русское «х»: helpful /ˈhɛlp.fl̩/, hire /ˈhaɪɹ/, hesitate /ˈhɛz.ə.teɪt/, coherent /koʊˈhɛɹ.ənt/
  • Звонкие согласные в конце слова — не оглушайте их: analyze /ˈæn.əˌlaɪz/, usage /ˈjuːsɪd͡ʒ/, impressive /ɪmˈpɹɛsɪv/, cloud /ˈklaʊ̯d/, solve /sɒlv/

Как заниматься с этим видео

  1. Прослушайте всё видео один раз молча и выпишите незнакомые слова.
  2. Начните со скорости 0,75×, повторяйте предложение за предложением и вернитесь к обычной скорости, когда станет легко.
  3. Запишите себя и сравните с оригиналом, обращая внимание на такие слова, как prompt, compare, designer.

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.

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