Shadowing Practice: Can AI Replace UX Designers? Claude Ultracode Wins! - Learn English Speaking with Video
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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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Vocabulario y notas de pronunciación para esta lección
Esta lección de conversación se basa en el vídeo “Can AI Replace UX Designers? Claude Ultracode Wins!”. Las palabras que más se repiten: claude, user, result, fix, workflow. Este vídeo tiene 151 frases y 1903 palabras para practicar shadowing. La parte hablada dura 10:46. El hablante habla a un ritmo natural de unas 177 palabras por minuto, cercano a una conversación cotidiana. El 83 % de las palabras está entre las 3.000 más comunes del inglés; conviene repasar el resto antes de empezar.
Vocabulario clave de este vídeo
15 palabras del vídeo que vale la pena aprender, con su pronunciación y significado:
| Palabra | Pronunciación | Significado |
|---|---|---|
| prompt verbo | /pɹɑmpt/ | llevar a, concitar |
| compare verbo | /kəmˈpɛɚ/ | comparar, parangonar |
| designer sustantivo | /dɪˈzaɪnɚ/ | diseñador, diseñadora |
| reminder sustantivo | /ɹɪˈmaɪndə(ɹ)/ | aviso, recordatorio |
| scroll sustantivo | /skɹoʊl/ | rollo, pergamino |
| priority sustantivo | /pɹaɪˈɒɹɪti/ | prioridad |
| assess verbo | /əˈsɛs/ | evaluar, estimar |
| analyze verbo | /ˈæn.əˌlaɪz/ | analizar |
| usage sustantivo | /ˈjuːsɪd͡ʒ/ | uso |
| compact adjetivo | /kəmˈpækt/ | compacto |
| impressive adjetivo | /ɪmˈpɹɛsɪv/ | impresionante |
| assessment sustantivo | /əˈsɛsmənt/ | evaluación, expertización |
| cloud sustantivo | /ˈklaʊ̯d/ | nube, nimbo |
| select verbo | /sɪˈlɛkt/ | seleccionar, cribar |
| helpful adjetivo | /ˈhɛlp.fl̩/ | servicial, adyuvante |
Phrasal verbs que vas a escuchar
| Palabra | Pronunciación | Significado |
|---|---|---|
| clean up verbo | limpiar | |
| come together verbo | /ˈkʌm tʊˈɡɛðɚ/ | juntarse, concitarse |
| follow up verbo | dar seguimiento, dar un seguimiento | |
| go through verbo | atravesar |
Gramática en este vídeo
Las estructuras que más usa el hablante, con las palabras exactas del vídeo:
| Estructura | En el vídeo |
|---|---|
| Voz pasiva be + participio pasado — importa lo que ocurre, no quién lo hace | is optimized · is considered · is organized |
| Oraciones de relativo who / which + oración — información extra sobre una persona o cosa | UltraCode, which is · here, which is · result, which is |
| Present perfect have/has + participio pasado — una acción pasada que sigue importando ahora | I've been · have sold |
Pronunciación a tener en cuenta
El hablante usa 31 contracciones y formas reducidas, como I'm, I'll, won't. Dilas en su forma corta, tal como las oyes.
- Los sonidos de “sh” y “zh”: interaction /ˌɪn.təˈɹæk.ʃən/, satisfaction /sætɪsˈfækʃən/, assumption /əˈsʌm(p).ʃ(ə)n/, navigation /nævɪˈɡeɪʃən/, frustration /fɹʌsˈtɹeɪ.ʃən/
- Palabras largas — cuida el acento: priority /pɹaɪˈɒɹɪti/, experiment /ɪkˈspɛɹ.ə.mənt/, interaction /ˌɪn.təˈɹæk.ʃən/, consecutive /kənˈsɛkjʊtɪv/, satisfaction /sætɪsˈfækʃən/
Sonidos difíciles para hispanohablantes:
- s + consonante al inicio — sin añadir una “e” delante: scroll /skɹoʊl/, scan /skæn/, sticky /ˈstɪki/
- /v/ — no es /b/: los dientes tocan el labio inferior: impressive /ɪmˈpɹɛsɪv/, solve /sɒlv/, consecutive /kənˈsɛkjʊtɪv/, navigation /nævɪˈɡeɪʃən/, visibility /ˌvɪz.əˈbɪl.ɪ.ti/
- /z/ — sonora, no /s/: designer /dɪˈzaɪnɚ/, analyze /ˈæn.əˌlaɪz/, cheers /t͡ʃɪəz/, organize /ˈɔɹɡənaɪz/, oppose /əˈpoʊz/
Cómo practicar con este vídeo
- Escucha el vídeo entero una vez sin hablar y anota las palabras que no conoces.
- Empieza a velocidad 0,75×, haz shadowing frase por frase y vuelve a la velocidad normal cuando te resulte fácil.
- Grábate y compara con el original, prestando atención a palabras como prompt, compare, designer.
¿Qué es la Técnica de Shadowing?
Shadowing es una técnica de aprendizaje de idiomas respaldada por la ciencia, desarrollada originalmente para la formación de intérpretes profesionales y popularizada por el políglota Dr. Alexander Arguelles. El método es simple pero poderoso: escuchas audio en inglés nativo y lo repites en voz alta de inmediato, como una sombra que sigue al hablante con solo 1-2 segundos de retraso. A diferencia de la escucha pasiva o los ejercicios de gramática, el shadowing obliga a tu cerebro y músculos de la boca a procesar y reproducir simultáneamente patrones de habla reales. Las investigaciones muestran que mejora significativamente la precisión de la pronunciación, la entonación, el ritmo, el habla conectada, la comprensión auditiva y la fluidez al hablar, convirtiéndola en una de las metodologías más efectivas para la preparación del IELTS Speaking y la comunicación en inglés en el mundo real.