The speaker discusses transitioning from Figma to AI-driven design workflows to increase efficiency. By leveraging tools like Claude Code, Paper, and Mobbin, designers can generate high-fidelity UI components and full pages while avoiding \"AI slop\" through specialized open-source skills and real-world reference libraries.
I have over 50 videos about Figma,
and for the last month, I haven't used Figma once.
Not because Figma is bad, but because I've found better
and more efficient ways to design.
And in the next 10 minutes, I'll show you exactly how I'm doing it
with different approaches and workflows from start to finish.
Real quick, before we begin, check out
our website, link in the video description.
Right now, I've got about 34 great courses
with more on the way on AI and design workflows,
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And right away, the different workflows
and methods that you might follow might change
depending on what tools that you have access to.
We're going to start off here in Claude Code
because it has a little bit more of a unique
value prop, and then look at some other tools.
Now, we're going to run this prompt,
and what I did here is I invoked this slash design
skill.
This here is unique to Claude Code and unique to Anthropic,
and we're just going to run
this very simple prompt, build me
a couple mobile dashboards for a fitness app.
Let's run.
And then I'm going to run that exact
same prompt inside of ChatGPT Codex.
It's included in your ChatGPT subscription,
but it's another popular AI tool that's out
there.
Let's run.
And inside of Claude Code, because we invoke that design skill,
and even if you don't invoke
the design skill, this is still going to happen anyway,
is what we get is this Claude Design
type canvas inside of Claude Code.
So that answers a couple of questions here.
You really don't need Claude Design anymore
because Claude Code can do everything.
And at the same time.
Here we have this canvas type functionality
where we can move things around, we can drag
things around, we can make tweaks to things
as we see that we need fit, we can change
the color, we can change the radius.
This is more the canvas type functionality that designers are used to.
And the result that we get in Codex, first off,
it looks pretty good, but this here is
ran locally.
This is just an HTML file.
So I can't move things around
with that canvas type functionality, like what we just saw
in Claude Code.
It's a little bit less ideal.
And if you don't have access...
To Claude Code with that canvas type functionality
is a tool like Paper can really come in handy.
And I'll link this down below.
What Paper is, is essentially a design interface for your AI agents.
So you can connect the Paper MCP
and what your agents will do is actually send the designs
to the Paper canvas so you can iterate from there.
And to connect your different AI tools,
download the Paper desktop app,
and you'll see prompts in order to,
or instructions on how to connect your agent.
So I'm gonna go ahead and choose to add this to Codex.
And with Paper connected inside of Codex,
whatever AI tool,
I'm just gonna run this simple prompt,
inside Paper, build me a mobile dashboard
for a health application, something like that.
Let's run.
And what we now have inside of Paper.
is those designs that Codex produced,
but in that canvas type functionality.
So we can come in here, we can change tokens,
we can move things around,
we can change text, very similar to what we saw that Claude Code had.
In that canvas type functionality,
it's just in a different application.
Moving back to the output that we got with Claude Code,
is there's a fundamental difference between designing for mobile
and designing for desktop.
Regardless of whatever AI tool that you're using,
the results that you get for mobile
always tend to be a little bit better.
Like there's less space for AI to overthink.
What I want to go through now
is a specific workflow that I like to use.
And earlier in the summer, I chatted with a bunch
of senior designers at top companies.
And what I'm about to show you is a workflow that they use as well
when it comes to building
a desktop design for the AI to keep AI on track
and avoid a lot of sloppy AI designs
that happen when you tell AI to build
a desktop design right out of the gates.
And where that difference is, is instead
of focusing on the entire page like we did with
mobile, because again, as you saw, we got pretty good results.
We're going to focus on widget by widget, ideally starting off
with the most important widget that a user might see on the page.
So we're going to run this prompt, design four distinct variations
of a full width, your fitness score widget for a desktop app.
Explore different layouts, visual styles,
and ways to present the score and supporting fitness metrics.
Let's run. And what we get back are four very different styles
and treatments of whatever that.
main widget is on a particular dashboard.
So we have the segmented ring. I don't like this one.
This one feels very AI generated.
This one here looks a little bit better. I like this
trend story one with the big metric.
And then we have your fitness score one. Now.
This really comes in handy
if we don't know what it is that we're looking for.
Because instead of having to burn a bunch of time
and a bunch of our valuable AI tokens
on generating entire page designs,
if we don't even know if we're going to like the treatment
that it comes up with, by focusing on the main widget to start,
what you can do is then you can
then build the rest of the page around the widget that you like
and start to tweak these widgets.
Until you land on something that you're really happy
with before you generate the full entire page.
And you can do this inside of any AI tool.
You just might not have that canvas type functionality as we looked at.
It might just generate these options locally.
But let's say I've gone through,
I've made some tweaks to option C here.
And now I'm ready to proceed for the entire page.
We can then have it build a page based on the styling that we settled.
See the value in this workflow now?
We're not having to spend a ton of time
and a ton of tokens
generating a bunch of different page designs.
We're focusing on the main widget,
narrowing down the styling,
the look, the feel,
the treatments that we like,
and then building that page to support it.
I want to talk about dealing with AI slop now.
If you don't know what AI slop is,
it's a term for treatments
that are very obviously AI generated
and just standard AI treatments
that every tool,
regardless of platform, produces.
And...
You can't escape it. You really can't.
AI slop is always going to be there and something that's
AI generated. Even with some of those good looking
mobile versions that we looked at earlier.
Like,
If you've been in the space for a while,
you're able to quickly identify what is an AI-generated
treatment and what is not.
And I've seen cases where clients don't pay for someone's work
because they see AI-generated treatments in there.
So you can't escape it. The only way to
escape it is if you just design everything by hand.
And even if you design everything by hand,
someone's still going to say that it's AI-slopped.
But there are certain ways that we can try to
There's two open source skills.
The taste skill and impeccable, I'll link these down below,
which help us reduce a lot of AI generated treatments
and to look at impeccable just as examples.
They kind of operate the same, whereas before you might have
this very clearly AI generated cards like this is the definition
of AI slop right here with the rounded corners, the border on the left,
the difference, you know, the italicized font that's a different color.
And when you call impeccable or you call the taste skill,
what it will do is it will reduce
those AI treatments to restore a lot of the originality
and designs that AI tends to drift
away from. And now there's a bunch of open source skills like
these out here. So the taste skill and
impeccable, these are arguably the most popular.
And the other way I like to reduce AI slop is
using Mobbin's MCP connector to give me access to over 600,000.
real world screens. What Mobbin is essentially
a massive repository of every app, screen, flow,
UI elements that's out there. As I said, it's about 600,000.
What we can do is we can connect
AI to all of these different screens
and have it reference what's here in their library to help
inform the treatments that it produces.
So as an example, if I really like, let's say,
what Airbnb does for their designs, I can connect Mobbin MCP.
And have it reference Airbnb's visual style
to build something relatively similar.
And if you've never used Mobin before,
I'll link that in the video description as well.
And one thing that's nice too is Mobin has connectors
and plugins and all of these popular AI tools,
whether using Grok, Claude, Codex,
they have a native plugin or a connector.
So it's really easy to set up.
What we're going to do is we're going to run this prompt.
Browse Mobin MCP.
We don't need MCP there.
Browse Mobin and generate me a mobile app dashboard
for a weight loss app that follows Airbnb's treatments.
Let's go ahead and run.
And while it's generating, you can see what it's doing.
So what it did is it pulled up the Airbnb app screens
to understand the visual style.
But then it also looked up designs inside of Mobin.
for weight loss app dashboards to understand
the type of information that tends to be displayed
and how things tend to be laid out on these particular dashboards
so it builds something
realistic while still understanding
and applying the Airbnb styling on the right hand side here is
what it came back with first glance looks great
so we can see we have this chart here week's goals
our next milestone recipes under specific calories lessons
the bottom nav looks pretty good
So you can see how valuable this is because leveraging that specific
Mobin MCP, we're able to inject AI with particular tastes.
And then what you can do is it's very rare to get something,
honestly, as good as this first try.
It doesn't always happen like that.
And what you can then do is when you install either the impeccable
or the front end design skill, you can run that skill
to then audit the particular design that AI comes up with.
To reduce a lot of that AI slops,
that's where those two different approaches,
using the open source skills, using Mob and MCP, can go hand in hand.
There's another open source skill that was just released
by the head of design at X and also SpaceX AI.
AI and.
What this skill allows you to do is come up with better UI stills,
animated product shots,
and sort of this bento grid style format that you see right here.
What we're going to do, we're going to copy this command
and then open up our favorite AI tool.
And before I installed this skill, what I had Claude do,
so we can compare before and after,
just come up with this basic.
Uh card with a mock UI inside of it.
So we just get this we're gonna go ahead
We're going to install this skill now,
but then we're going to run a prompt
So using the stage show skill we installed update
this card format as we can compare the before and after here
You can now see the before and after
And to get this kind of appearance here,
both in like the UI visual and also the text treatment,
it's not something AI would be able to do just with a prompt
or just basic instructions.
So you can see with the before, the icon,
the way the text on different rows,
the way the image is in like the way the image is treated.
After, it's just more of a much more elevated look
and more premium appearance
on something that you might see
on like a really high quality SaaS site,
just as an example.
So when you're building your marketing pages
or product demos,
using this type of skill can really go a long way.
Hey, thanks for watching this one.
We have a lot more content coming,
so be sure to drop a subscribe.
Also too, check out our website,
link in the video description for UI Collective Academy.
Thank
Yeah, I never know where to go with these outros.
So if you want to watch a video that I
highly recommend, click on the top left.
you so
If you want to watch another one I also recommend,
click on the top right.
much
for
having
me.