Drafting, exploring, and refining UX copy and interface content

I had a conversation last week that stayed with me.

A mid-level designer I know told me they had been experimenting with AI for about six months.

When I asked how they were using it day to day, they said, “mostly for writing UX copy.”

That is not unusual.

Most of the advice designers see is either a tool demo or a broad prediction about the future of the industry. There is much less discussion about the ordinary tasks where AI can save 30 or 40 minutes during a normal workday.

Here are a few places where it has been useful in my own work.

I use it to generate content options for states I might otherwise rush through.

Error messages, empty states, loading copy and less common edge cases often get left until the end of a project. I can give a model the feature context, review several options, and then write the final version myself.

It helps me get past the blank page without handing over the decision.

I also use it to organise messy research transcripts.

I do not ask for conclusions. I ask it to identify tensions, repeated concerns and questions that were never resolved.

The interpretation is still mine, but I spend less time sorting through thousands of words before I can begin thinking about what they mean.

Another useful task is drafting the background section of a design spec.

Explaining why a decision was made can take longer than making the decision itself. A rough first draft gives me something to correct, clarify and shape into language the rest of the team can use.

None of these tasks replaces design judgment.

They reduce the amount of attention I spend on work that is repetitive, slow or difficult to start.

Using AI only as a writing assistant is useful, but it is a small part of what it can do.

A better place to start is to look at the tasks you repeat every week and ask which parts need your judgment, and which parts are mostly setup.

Where have you found a use for AI that has actually become part of your regular workflow?

#productdesign #uxdesign #aifordesigners

"AI can create screens. So... do we still need designers?"🤔

This question has been on my mind for a while.

And honestly, I understand why many founders and companies are asking it.

Today, AI can generate wireframes, polished UI, landing pages, prototypes, design systems, and even production-ready code in minutes.🥲

So if a designer's only contribution is drawing screens in Figma...

...then yes, AI is already catching up.

But I think we've been asking the wrong question.

The real question isn't:
"Do we need designers?"

It's:
"Are we using designers for what they were actually hired to do?"👏

Over the last few years, I've realized something that changed how I look at my own career.

Many designers including me at one point spend most of their energy executing requirements instead of questioning them.💭

We become screen makers.

Instead of product thinkers.

The biggest value of a designer was never pushing pixels.

It's asking:

💭 Why is this feature needed?
💭 Is this solving the right user problem?
💭 What happens when users fail?
💭 Can this experience be simpler?
💭 How does this decision impact the business?

These are questions AI cannot answer on its own.

AI generates possibilities.🤞

Humans decide which possibility is worth building.🌻

Research consistently supports this idea.

• McKinsey's "The Business Value of Design" found that companies investing in design significantly outperform industry peers in revenue growth and shareholder returns.

• IBM has reported substantial ROI from investing in UX practices, emphasizing that understanding users early reduces costly redesigns later.

• Nielsen Norman Group continues to show that many usability problems originate from missing user understanding not from weak visual design.

Notice something?✋️

None of these studies say beautiful UI is the competitive advantage.

They point toward research, decision-making, validation, and strategic thinking.

Today, I use AI every single day as a product designer.

It helps me:

- explore more ideas
- challenge my assumptions
- identify edge cases
- improve UX copy
- critique flows
- prototype faster

But every important decision is still mine.

AI is my assistant.

Not my judgment.🌱

I believe the designers who will thrive in the next few years won't necessarily be the fastest people in Figma.

They'll be the ones who combine product thinking, business understanding, user empathy, and AI.

So maybe AI isn't replacing designers.

Maybe it's exposing the difference between designing screens and designing products.

I'm curious to hear different perspectives.

If AI can generate almost any interface today... where do you think the real value of a designer begins?👇

#uxdesign #productdesign #artificialintelligence #designthinking #uidesign #aidesign #productmanagement #uxresearch #careergrowth #figma #uiux #designercommunity #juniordesigners #learning #designers #aIindesign #aidesigntools #ai #ailearning #aidesigners #linkedin #creators

Does UX still matter — or is AI making us obsolete?

AI generates layouts in seconds. Writes microcopy on demand. Analyzes user data faster than any research team.

So why do we still need UX designers?

Here's what AI already does better than you:
→ Generate 5 layout variants in 30 seconds
→ Write 10 error message alternatives on command
→ Summarize 15 interview transcripts in minutes
→ Spot patterns across thousands of data points

Impressive. But here's what AI can't do:
Empathy isn't computable. AI does sentiment analysis. It can't sense why a 63-year-old goes silent during a usability test — not from confusion, but from shame.

Context has no data model. AI doesn't know your CEO said "mobile-first" because he got a new iPhone. It doesn't know your engineering team is burned out and every design change is political.

Ethics require conviction. AI optimizes for whatever goal you set. If that goal is "more clicks," it will suggest dark patterns without blinking. A designer asks: Should we?

Saying no is a skill. AI always delivers an answer. Even when the right answer is: We're solving the wrong problem.

The designers who thrive aren't the ones pushing pixels. They're the ones asking questions before designing answers.

AI makes you faster. It doesn't make you smarter, more empathetic, or braver. That's still on you.

I've packed everything I've learned in 24 years of design into one interactive platform — methods, tools, Nielsen's 10 heuristics, a glossary, and a section on how to actually use AI in your UX workflow.
→ https://lnkd.in/gHT-zJ44
#UX #AI #ProductDesign #UserExperience #DesignLeadership

I've been sharing a lot about AI-powered product design workflows — what I try, what I actually use in my own work, and what sticks.

Every time I post, someone asks for tutorials or a deeper walkthrough. So I finally put it all in one place.

The guide covers everything I've tested so far - design workflow across 7 modules:
→ UX Research & Synthesis → UX Strategy & Methodology → Visual & UI Design → Content & Copy → Handoff & Documentation → Design Systems (coming soon) → Claude Skills

If you've been curious about how to bring AI into your design practice in a way that's actually useful, this is for you.

Link in the comments 👇

For a long time, I thought AI was something separate from my design work. Something advanced, technical or something “future me” would eventually learn. But the more I paid attention, the more I realized something surprising:

I was already using AI — almost every day.

Not in an obvious, “I’m designing AI systems” kind of way. But in small, subtle ways that had quietly become part of my workflow. And I think a lot of designers are in the same position.

My AI workflow I use to 10x my design work:

1. Inktrail.ai - For brainstorming, understanding PRDs, conducting market and competitor research and creating user flows

2. variant.com - To curate a moodboard of design directions and UI flows

3. figma.com/make - The HTML and CSS code that aligns to my need from the moodboard and curate a complete prototyping

4. figma.com - For creating the design artifacts, aligning with brand standards and design system

Inktrail.ai - To write the UX copies for the designs

Worthy of mention; windsurf.com - Creats a design.md file and implement the UI on frontend level.

This workflow cuts my design time from days to hours and still maintain the same level of quality.

Designers should perform human oversight and not manual work.

What’s your own process?

Repost to help a designer from your network.

When I use AI in my design work, I’m not outsourcing my thinking. I’m speeding up the parts of the process where speed is actually valuable, generating options, exploring directions, getting a quick read on structure, so I can spend more time on the parts where my judgment matters. That’s a meaningful difference.

I use Claude for research. I’ve trained it over time to understand the tone and voice of the products I work on. When I save a screenshot of something that inspired me, I send it over and it helps me remember why I saved it, what the design is actually doing, and how it connects to whatever I’m building now. That’s not impressive. It’s just useful.

I’ve also given it instructions for UX writing — the tone, the constraints, who the users are. When it gives me copy suggestions, I don’t paste them straight in. I read them against the product’s voice and ask whether they’re actually clear for the user. Sometimes I run tests to find out.

These tools are powerful, but each one only works well when you know exactly what job to give it.

I’ve been using AI tools as a core part of my design workflow. Here’s what actually works and what doesn’t.

ChatGPT: My content partner. Great for UI copy, microcopy variations, and translating engineer-speak into user-speak.

Figma Make: Good at generating initial wireframes and scaffolding a starting flow. The frustrations: credit limits are brutal and burn fast when iterating (which is… the entire point of design). It struggles with large context, you need to feed it bite-sized chunks. No plan mode like VS Code, so you can’t orchestrate a multi-screen flow strategically. For these reasons, it’s much easier to go from Figma Make to VS Code than the other direction.

Figma: Still the source of truth. After Make generates a starting point, I always move into Figma to manually refine. AI-generated layouts need a human hand- spacing, hierarchy, consistency.

VS Code + Claude: Where designs come to life. Like Figma Make, works best with focused prompts, not massive context dumps. But the speed is transformative. Things that used to require a developer friend and a weekend now take an afternoon.

Google Stitch: Strong at generating polished visual UI and great for design system exploration. But the content and UX structure is consistently weak- page hierarchy, flow logic, information architecture all need significant rework. Better for visual inspiration than building experiences.

There’s a lot of noise around AI in design. Some say it will replace designers. Others dismiss it entirely. After three months of deliberately integrating AI tools into my daily workflow, my view is more nuanced—and more interesting than either extreme.
AI did not make me less of a designer. But it permanently changed how I design.

AI tools won't replace UX Designers.

But designers who ignore AI will be replaced by those who don't.

Here's how I'm using AI in my UX process right now (without losing the human touch):

🔍 Research synthesis Dump interview notes into AI → get themes in minutes, not hours. I still validate every insight but I save hours of grunt work.

✍️ First-draft microcopy AI gives me 10 variations of a button label or error message. I pick, refine, and make it actually sound human.

🗺️ User journey mapping I use AI to spot gaps in a journey I've been staring at too long. Fresh (artificial) eyes catch what tired human ones miss.

🧪 Usability test prep AI helps me draft screener questions and discussion guides 3x faster. More time for actual conversations with users.

The goal isn't to hand over your design thinking. It's to free up more time for your design thinking.

What's one AI tool that's genuinely changed how you work as a designer? 👇

#uxdesign #aiindesign #ai #userexperience #productdesign #designtools