ฝึกพูดภาษาอังกฤษด้วยเทคนิค Shadowing จากวิดีโอ: Use AI Like a Senior Designer (3 Workflows)

I spoke with senior designers at Meta, Google, and other top companies, and the way in which they're using AI and their design process is actually very different than what designers are used to.

So today we're going to break down some of these workflows and how you can apply them to your own design work.

Let's dive in.

And before we begin, check out our website, link in the video description, where I'm teaching AI workflows, design topics, and a whole lot more.

And come follow me on X, link also down below.

The first concept that I want to cover is the idea of building the pieces before you actually build the page.

One thing we might want to start moving away from as designers is this traditional approach here,

which is we start off our AI design generation process by actually building out an entire page, whether we're working with claw design or another tool,

hey, build me a dashboard for this startup, build me a landing page for this fintech company.

And then when we don't like the result, we regenerate it a couple of times till we land on a concept that's semi-decent.

And then we spend hours and hundreds of thousands of tokens

prompting to refine until we get the look that we're ultimately going for.

We want to start moving away from this here.

And instead, what we want to start transitioning to, and I'm going to demo this, so bear with me, is this approach.

And this is a common theme across a lot of like the big senior designers who I'm chatting with,

where what they're doing is they're not starting off with page generation.

They're starting off with widget generation.

And whatever that most important widget is on the page, that's where they start.

And they produce dozens and dozens of different layouts

and designs based off that widget before they even think about the rest of the page.

And then once they've settled on the widget that has the right look and feel, the right layouts, communicates what they want to communicate to the user,

that's when they start building out the rest of the design around and then prompt to refine.

Whereas before we were starting off with an entire page, now we're starting off with one widget.

And I'm going to demo this as a workflow very shortly, but just in case you're not too sure what I'm talking about in the past, what we might do. And again, I just took the screenshot from mobbing link to mob is

down below is try to build this entire page in one prompts.

But what these designers who have chatted with are doing is they're starting off with the most important widget on the page.

So once they've settled on the layout, the design, the styling for this widget, they're then working backwards and thinking, okay, what should go above this widget?

What should go below this widget and then applying the look and feel of this widget, sorry, saying widget a bunch, uh, to everything else that's actually on the page.

And to demo this, then we'll go over some next steps and look over the options in just a second.

But I ran this prompt inside of cloud design.

You can use whatever AI tool that you want to use, Grok, cloud code, codex, doesn't really matter.

So we ran this, I'm designing a banking dashboard where net worth is the primary widget.

Create eight distinctively different versions of this widget, exploring different layouts, chart styles, functionality, controls, insights, and ways of visualizing growth over time.

Do not design the full dashboard.

Focus only on the full width net worth widget.

Each concept should have a clearly different format, visual approach, and color scheme all remaining clean, modern, light mode, and not overly busy.

And to look at the results now, you can see that the options and variations are all a little bit different.

So different formats of data, different ways of grouping data, different ways of presenting data.

And if you think about it here, If I had asked, and this is the whole value of this workflow,

if I had asked Claude Design to build me a dashboard, it might have given me this.

But personally, this option here, I really like.

I think it's clean.

I think there's a lot of good options for interactions, potential for interactions.

I like this uh alert summarizing what's going on in plain

language at the bottom can you imagine the amount of prompting

that you would have to do to go from this

that it might have given you originally to something like this

and you're probably thinking what's that next step after you've identified the widget

that you really like

and one of the designers who i chatted with says he

doesn't just keep prompting inside claw design for the next widget

what he does is he takes a screenshot of whatever widget he identified

that he likes the most

so in this case let's choose with this option right here he then brings

that screenshot into figma has figma agents recreate it

so now he has an editable figma widget

that he can customize as much as he wants to apply his own design system make tweaks

and now he has a really good starting point for whatever page he's designing

so then he just fills in gaps with the rest he doesn't go back to whatever ai tool that he's using, this is where he does some of that critical thinking where he thinks,

okay, if we have our net worth as our main widget, what might come up above it?

Do we just want a basic greeting?

Are there other metrics that would go along the top here?

What would go beneath the card?

So he does that critical thinking part.

He doesn't rely on AI to build the rest of the dashboard for him

because when you're working in these big corporate enterprise settings, if you're relying AI to do the thinking for you.

You're not going to make it very far.

And then once he has this initial idea as to how the rest of the page should be structured, then he repeats that process as much as he feels that he needs to.

He doesn't do it for every widget because not every widget on the page is going to need that level of iteration.

Only where he's stuck on different treatments, where he's not too sure what the art of the possible is in certain places of that page.

The next concept I want to cover is experiencing a UI through a persona's particular lens and using AI to do that.

Now, the idea of AI being able to navigate prototypes is something I've covered in the past.

It's not something that's net new, but with one of the designers that I spoke to,

I didn't realize how prevalent that was in their day-to-day work and also the method in which they're

like initiating some of these AI reviews.

And we're going to look at that.

And before we move into the AI review process is we're

going to need what one of those designers called me as like a flow home base, where you have all the different flows on some starting page like this,

where an AI can click through that one particular flow, then when it's done, move to the next flow, and then to the next flow to compare and contrast between flows.

And he told me specifically

that sometimes what he sees happen is ai goes through one flow it moves to the next flow

and then it realizes it needs to clarify something so

that it exits that flow

and then moves back to the first flow in order to make sure

that it captured what it needed to

so that's the benefit of some sort of page like this i spun this up in claw design

but you can use any ai tool

that you want to it's basically a home page for all the flows

that you're going to want to test the next step here is then to test both those flows using AI.

The person who I chatted to, they do this inside of CloudCode, but I'm using Google Antigravity.

What Google Antigravity is, it's essentially Google's version of CloudCode.

Why am I using it?

Because it's really good at navigating the web.

You can watch it do it in real time.

It's quite a cool experience.

Anyways, so I just opened up Google Antigravity and I'll put a link to that in the video description.

If you know how to work with CloudCode, you'll know how to work with Google Antigravity.

It's the same thing.

And what I had What I did is I opened up

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that file that we had exported from Claude design

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and I opened it up here had it run the experience

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locally what I then did is I then invoke the browser

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and pasted in a link to that specific url

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and we're going to run this prompt browse both flows let

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me move my video bar out of the way sorry browse

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both flows from the perspective of this persona on the url

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above the persona is a senior financial advisor managing a large

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book of high net worth clients highly experienced with wealth platforms time constrained and focused on quickly finding right information

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identifying risks and hesitance on switching tools so what i'm doing here is i'm defining the

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viewpoint that the ai should browse both those flows based on

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and then we're giving it instructions to review each flow independently

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before comparing them at every step explain what you believe is

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happening what you expect to happen next where you hesitate what

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feels unclear in your confidence from one to five ignore visual aesthetics unless they directly affect usability

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and once complete compare both flows and recommend which better supports the persona's goal citing specific moments from the experience.

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In the interest of time, we're keeping the prompt a little bit more brief, but depending on the details that you have on your persona,

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you can really make this prompt much, much longer and much, much more detailed.

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So what we're going to do, we're going to go ahead and run this.

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Because the agent going through it happened so quickly, I wasn't able to get a recording of it.

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But if you go through this process, you'll be able to see what I mean, how it opens up Chrome, again, ideally, and goes through like the UI, you'll be able to watch it do its tests.

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But what we got back is the core recommendation summary here.

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So it's recommending flow B and it gave you some reasons why.

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And then we have this more in-depth UX evaluation analysis where it sort of talks about flow A, all the steps, what's happening in that step,

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what it expected next, where the persona might hesitate.

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So it did that for all the steps in flow A and then also for flow B as well.

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Some pushback that you might be thinking with this is, oh, why don't you just ask users instead you don't always have instant access to users especially

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if your design practice isn't super mature or you have access to users

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but by the time you need to make a decision on a flow

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you don't have time to go through source those users and

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or vote interview those users come up with a synthesis based on the data

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that you like identify so design isn't

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so linear yes in an ideal world we would like to ask users

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but we don't always have

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that luxury also too in the real world design setting sometimes

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an executive just wants you to experiment with the flow

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that you know won't work

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so you don't even want to put it in front of users

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but by running one of these ai tests you're able to get some of the data

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and be able to share that with the executive around what someone in

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that persona might actually be thinking now also too this is

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really just about identifying blind spots opening up your thinking i don't think you should ever take an ai suggestion

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and take it wholeheartedly you should always double check everything

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that it says

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if you have access to users you can use like what

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ai gives you as sort of this initial foundation to sort

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of tweak some of your designs based on the initial output

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and then share it with users so i want to like really emphasize

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that that you should never just take an ai suggestion

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and take it 100 as the full truth the last concept

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that i want to talk about here supporting

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and developer handoff i had been using ai to do this

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in my design pro my design process in the past

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so chatting with some of those designers is great to get

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that level of validation now they're not using it for every element in developer handoff there's one specific one

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that they're really using it for which was reading order over something like tab order

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and other items so we're going to use reading order as an example there's a lot

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that can go into developer handoff

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and i'll link a video to a developer handoff video down below where i cover some of these concepts

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if you're not sure Now, the assumption that designers make is that the reading order is the logical order

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and that's just not always the case so

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when designers are marking off reading order they generally go left to right

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and then down because that's what makes sense in their mind

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and that's what ultimately they're generally trained to do but

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that is not always the case so bringing ai into this equation can really help

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get out some of those errors before you actually ship off

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the reading order to your development team we're gonna start out

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here in figma now this design i just generated it from claw design had figma agents let's recreate it

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and because it's not crazy complex the reading order might be a little bit more obvious um

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but again just for the purposes of this exercise

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so what i want to do is is I'm going to take a copy, a link to this design inside of Figma.

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And then within whatever AI tool you have access to, run this basic prompt.

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So identify the reading order based on this design.

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Make sure you have Figma MCP connected.

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If you don't have Figma MCP or your company hasn't enabled Figma MCP, a screenshot also just works.

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All right.

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Something I want to call out.

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So identify the reading order based on this design and turn the link to that Figma page.

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Let's run.

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What AI did then is then provided this document

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if it didn't provide you the document ask for the document on the sequence of the reading order

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so it separated things out

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so we can see the nav bar the reading order associated with it the hero the summary card

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and when you have cards with a lot of

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different elements that's where reading order can actually start to drift and start to change

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so we have uh the reading order for here the reading order for the for band four

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which is the purchasing goals you can see it's all numbered accordingly and then for asset allocation as as well.

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It looks like it flagged some things here.

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So let's go ahead.

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What I'm going to do is I'm going to take a screenshot of like some of these, and then we're going to bring that into Figma.

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And to mark things off like reading order, this is just something that I use.

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I don't know about anyone else.

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I didn't chat with the designers I spoke to about this, but it's a great resource.

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It's the Web Accessibility Annotation Kit by CVS Health.

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It's on the Figma community.

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What this does, it has a lot of annotations here

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that you can see where it's easy to mark off what The reading order is, as an example, so developers are pretty easy to follow.

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So we're going to go ahead and install this

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or open this up and then publish it as a design system so we can pull in some of those elements.

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What you would want to do then is take the annotations from the Web Accessibility Annotation Kit.

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So you can see here is the reading order stamp.

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And based off the number that AI gave us, so we can see here purchasing goals is number 27.

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We have add a goal.

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This would be number 28.

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So we can come in here, mark this off as number 28.

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Oops, sorry.

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I just need a position.

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Right there we go uh mark this off as number 28

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and then we can apply send this to our developers one

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thing that's important to note is not lots of good dialogue

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with this uh around the designers we spoke to is never ever ever just take the output

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that ai gives you have ai add all the annotations

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and then send that off to your developers that's where mistakes can happen

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we still do want to do this part manually

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but uh ai can help us with what

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that initial order might look like especially

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when it comes to more complex widgets more complex components um

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but yeah that is another way in

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which these designers are using ai in their design process hey

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thanks for watching this one gonna have a lot more content

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coming on working with ai have some really long videos on some great topics uh in the pipeline

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so be sure to subscribe for

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that also to be sure to check out our website link

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in the video description for ui collective academy where i'm teaching ai workflows

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and a whole lot more uh

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if you want to watch a video where i build an

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entire design system click in the top left you want to watch another video

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that i highly recommend click in the top right see you soon

📺 ช่องเดียวกัน

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เป้าหมายการพูดสำหรับคลิปนี้

ในวิดีโอนี้ เราจะได้เรียนรู้วิธีการใช้ AI สำหรับการออกแบบ ซึ่งจะช่วยให้เราเข้าใจการสร้างสรรค์ที่แตกต่างจากที่เราเคยทำมา โดยเฉพาะการเน้นที่การสร้าง widget เป็นจุดเริ่มต้น ซึ่งเป็นวิธีที่ช่วยให้เราปรับปรุงการออกเสียงภาษาอังกฤษได้จากการฟังและพูดตามในแบบที่มีความหมายและชัดเจน

คลังคำศัพท์

"widget" - ชิ้นส่วนสำคัญสำหรับการออกแบบ
"layout" - รูปแบบการจัดวาง
"dashboard" - แดชบอร์ดข้อมูล
"generate" - สร้างขึ้น
"refine" - ปรับปรุง

คำศัพท์เหล่านี้สามารถนำไปใช้ในชีวิตประจำวัน รวมถึงการพูดคุยเกี่ยวกับการออกแบบและการใช้เทคโนโลยีเพื่อช่วยในการเรียนภาษาอังกฤษจากวิดีโอ โดยเฉพาะอย่างยิ่งเมื่อเราทำการ ชาโดว์อิ้งภาษาอังกฤษ หรือการพูดตามเสียงเพื่อปรับปรุงการออกเสียงให้ดีขึ้น

ปรับปรุงจุดอ่อนของคุณ

วิดีโอนี้ช่วยให้เราได้ฝึกการออกเสียงที่ถูกต้อง โดยเฉพาะการเน้นเสียงในคำสำคัญ เช่น "widget" และ "layout" ซึ่งสามารถช่วยให้เรามีจังหวะการพูดที่ดีขึ้น การฟังและพูดตามในวิดีโอจะช่วยพัฒนาความคล่องแคล่วในภาษาอังกฤษ นอกจากนี้ยังทำให้เราสามารถเข้าใจโครงสร้างที่ดีขึ้นและเรียนรู้การสร้างประโยคใหม่ๆ

การปรับปรุงการออกเสียงภาษาอังกฤษ จะเป็นไปได้ง่ายขึ้นเมื่อเราใช้แนวทางการเรียนรู้จากวิดีโอแบบนี้ โดยสามารถนำไปประยุกต์ใช้ในชีวิตประจำวัน และยกระดับความสามารถทางด้านการพูดของเราให้ดียิ่งขึ้น

ไวยากรณ์ในวิดีโอนี้

โครงสร้างที่ผู้พูดใช้บ่อยที่สุด พร้อมคำพูดจริงจากวิดีโอ:

โครงสร้าง	ในวิดีโอ
ประโยคเงื่อนไข if + อนุประโยค, will/would + กริยา — เงื่อนไขและผลลัพธ์	if you go through this process, you'll be
Present perfect have/has + กริยาช่อง 3 — เหตุการณ์ในอดีตที่ยังเกี่ยวข้องกับปัจจุบัน	they've settled · have chatted · you've identified
Relative clauses who / which + อนุประโยค — ข้อมูลเพิ่มเติมเกี่ยวกับคนหรือสิ่งของ	person who I · for which was

เทคนิค Shadowing คืออะไร?

Shadowing เป็นเทคนิคการเรียนรู้ภาษาที่ได้รับการรับรองทางวิทยาศาสตร์ พัฒนาขึ้นสำหรับการฝึกนักแปลมืออาชีพ วิธีการนี้เรียบง่ายแต่ทรงพลัง: คุณฟังเสียงภาษาอังกฤษจากเจ้าของภาษาและพูดตามทันที — เหมือนเงาที่ตามผู้พูดด้วยช่วงเวลาห่าง 1-2 วินาที การวิจัยแสดงว่าเทคนิคนี้ปรับปรุงความแม่นยำในการออกเสียง ทำนองเสียง จังหวะ การเชื่อมเสียง การฟังเข้าใจ และความคล่องแคล่วในการพูดได้อย่างมีนัยสำคัญ

เทคนิค shadowing: อ่านคู่มือฉบับเต็มทีละขั้นตอน →

ฝึกพูดภาษาอังกฤษด้วยเทคนิค Shadowing จากวิดีโอ: Use AI Like a Senior Designer (3 Workflows)

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ปรับปรุงจุดอ่อนของคุณ

ไวยากรณ์ในวิดีโอนี้

เทคนิค Shadowing คืออะไร?