Pratica di Shadowing: Can AI Replace UX Designers? Claude Ultracode Wins! - Impara a parlare inglese con i video
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151 frasi
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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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Vocabolario e note di pronuncia per questa lezione
Questa lezione di conversazione si basa sul video “Can AI Replace UX Designers? Claude Ultracode Wins!”. Le parole che ritornano più spesso: claude, user, result, fix, workflow. Questo video contiene 151 frasi e 1903 parole da ripetere con lo shadowing. Il parlato dura 10:46. Chi parla ha un ritmo naturale di circa 177 parole al minuto, vicino a una conversazione quotidiana. Il 83% delle parole rientra nelle 3.000 più comuni dell’inglese; conviene studiare le altre prima di iniziare.
Vocaboli chiave di questo video
15 parole del video che vale la pena imparare, con pronuncia e significato:
| Parola | Pronuncia | Significato |
|---|---|---|
| prompt verbo | /pɹɑmpt/ | incitare, guidare |
| compare verbo | /kəmˈpɛɚ/ | paragonare |
| designer sostantivo | /dɪˈzaɪnɚ/ | designer, progettista |
| reminder sostantivo | /ɹɪˈmaɪndə(ɹ)/ | promemoria |
| priority sostantivo | /pɹaɪˈɒɹɪti/ | priorità |
| assess verbo | /əˈsɛs/ | valutare, stimare |
| analyze verbo | /ˈæn.əˌlaɪz/ | analizzare |
| usage sostantivo | /ˈjuːsɪd͡ʒ/ | utilizzo, utilizzi |
| compact aggettivo | /kəmˈpækt/ | compatto |
| impressive aggettivo | /ɪmˈpɹɛsɪv/ | impressionante, spettacolare |
| assessment sostantivo | /əˈsɛsmənt/ | accertamento |
| cloud sostantivo | /ˈklaʊ̯d/ | nuvola, nube |
| select verbo | /sɪˈlɛkt/ | scegliere, selezionare |
| helpful aggettivo | /ˈhɛlp.fl̩/ | disponibile, utile |
| solve verbo | /sɒlv/ | risolvere |
I phrasal verb che sentirai
| Parola | Significato |
|---|---|
| clean up verbo | ripulire |
| go through verbo | attraversare |
La grammatica di questo video
Le strutture che chi parla usa di più, con le parole esatte del video:
| Struttura | Nel video |
|---|---|
| Forma passiva be + participio passato — conta ciò che accade, non chi lo fa | is optimized · is considered · is organized |
| Frasi relative who / which + frase — un’informazione in più su una persona o una cosa | UltraCode, which is · here, which is · result, which is |
| Present perfect have/has + participio passato — un’azione passata che conta ancora adesso | I've been · have sold |
Pronuncia a cui fare attenzione
Chi parla usa 31 contrazioni e forme ridotte, come I'm, I'll, won't. Pronunciale nella forma breve, così come le senti.
- I suoni “sh” e “zh”: interaction /ˌɪn.təˈɹæk.ʃən/, satisfaction /sætɪsˈfækʃən/, assumption /əˈsʌm(p).ʃ(ə)n/, navigation /nævɪˈɡeɪʃən/, frustration /fɹʌsˈtɹeɪ.ʃən/
- Parole lunghe — attenzione all’accento: priority /pɹaɪˈɒɹɪti/, experiment /ɪkˈspɛɹ.ə.mənt/, interaction /ˌɪn.təˈɹæk.ʃən/, consecutive /kənˈsɛkjʊtɪv/, satisfaction /sætɪsˈfækʃən/
I suoni difficili per chi parla italiano:
- /h/ — va soffiata, non è muta: helpful /ˈhɛlp.fl̩/, hire /ˈhaɪɹ/, hesitate /ˈhɛz.ə.teɪt/, coherent /koʊˈhɛɹ.ənt/
- Consonante finale — senza aggiungere una vocale dopo: prompt /pɹɑmpt/, assess /əˈsɛs/, analyze /ˈæn.əˌlaɪz/, usage /ˈjuːsɪd͡ʒ/, compact /kəmˈpækt/
- /æ/ — più aperta della “e”: analyze /ˈæn.əˌlaɪz/, compact /kəmˈpækt/, manual /ˈmæn.j(u)əl/, interaction /ˌɪn.təˈɹæk.ʃən/, satisfaction /sætɪsˈfækʃən/
Come esercitarsi con questo video
- Ascolta tutto il video una volta senza parlare e annota le parole che non conosci.
- Inizia a velocità 0,75×, fai shadowing frase per frase e torna alla velocità normale quando diventa facile.
- Registrati e confronta con l’originale, facendo attenzione a parole come prompt, compare, designer.
Cos'è la tecnica dello Shadowing?
Shadowing è una tecnica di apprendimento delle lingue supportata da studi scientifici, originariamente sviluppata per la formazione dei traduttori professionisti e resa popolare dal poliglotta Dr. Alexander Arguelles. Il metodo è semplice ma potente: ascolti un audio in inglese di madrelingua e lo ripeti immediatamente ad alta voce — come un'ombra che segue il parlante con un ritardo di solo 1–2 secondi. A differenza dell'ascolto passivo o degli esercizi di grammatica, lo shadowing costringe il tuo cervello e i muscoli della bocca a elaborare e riprodurre simultaneamente i modelli di discorso reale. La ricerca dimostra che migliora significativamente la precisione della pronuncia, l'intonazione, il ritmo, il discorso connesso, la comprensione dell'ascolto e la fluidità del parlato — rendendolo uno dei metodi più efficaci per la preparazione alla prova di speaking dell'IELTS e per la comunicazione reale in inglese.