In this quarterly update, Patricia shares the few AI shifts designers should actually pay attention to right now—beyond the noise. We talk about Claude Skills (prompts turning into reusable workflows), what happens when tools start connecting into real ecosystems, and why AI is moving from “answers” to agents that can take action. Plus: how learning is changing with tools like NotebookLM and what all of this means for the future role of designers.

Topics teased:

• Claude Skills + workflow thinking
• MCP and connected tool ecosystems
• “Computer Use” and the rise of AI agents
• Learning faster with NotebookLM
• Why design is shifting toward problem framing + systems thinking

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In this episode of the Future of UX Podcast, I’m speaking with Bansi Mehta, founder of Koru UX Design. We talk about one of the biggest challenges product teams face today:

Everyone wants to add AI to their product.
But very few teams know how to actually design AI features that create real value for users.

Bansi recently shared a framework her team uses internally to design AI-powered experiences. The framework is called Sense–Shape–Steer, and it helps teams move from vague ideas like “we should add AI” to well-designed AI features that solve real problems.

In this conversation we break down the framework step by step and talk about:

✨ why many AI projects fail before they even start
✨ how to identify real AI opportunities
✨ how to decide between copilot, conversational, or agentic experiences
✨ why storyboarding AI behavior matters more than pixel-perfect mockups
✨ and how teams can prototype and test AI features faster than ever

If you’re currently exploring AI features or designing AI-powered products, this episode will give you a practical way to think about it.

00:00 Intro
02:30 Bansi’s background in healthcare UX
06:50 Why most teams struggle with AI features
11:30 The Sense–Shape–Steer framework explained
20:00 Copilot vs agentic AI experiences
27:00 Storyboarding AI interactions
33:00 Rapid AI prototyping and experimentation
44:00 Why AI literacy matters for designers

Bansi Mehta (LinkedIn)
https://www.linkedin.com/in/bansi-mehta/

Koru UX Design
https://www.koruux.com/

Sense–Shape–Steer AI UX Framework
(Comment “SENSE” on Bansi’s LinkedIn post to get access)

Topics in this episode

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Everyone is suddenly talking about Claude… but most people are still a bit confused about what it actually does.

In this episode, I break down the key features like Skills, Plugins, Connectors, Canvas, and Claude Code in a simple and practical way.

More importantly, I’ll show you what actually matters for you as a designer and what you should try first after listening.

If you’ve been hearing the hype but didn’t know where to start, this episode will give you a clear and structured overview without the noise.

Get the AI feature Claude skill (just comment under neath this real)

Claude AI skills

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AI is changing how we design and build products faster than ever.

In this episode of Future of UX, I’m talking with Felix Haas, who is currently working at Lovable. Felix shares a lot of insights online about building products with AI, vibe coding, and how the way we create software is evolving.

Felix and I actually go back quite a few years. We first met in Berlin when he was running his own agency there, and since then I’ve been following his journey and the ideas he shares about building with AI.

What always fascinated me about Felix is his mindset. He comes from a design background, but he thinks very much like an entrepreneur. He constantly experiments, builds things, tests ideas, and isn’t afraid when something doesn’t work.

And honestly, that builder mindset might be one of the most important skills right now.

In our conversation we talk about where we actually are with AI today, what “vibe coding” really means, how the product development process is changing, and what all of this means for designers.

One thing we both agree on:
In the future, it might not be enough to just design products. Designers will need to build, experiment, and ship ideas much faster.

In this episode we talk about

• Where we actually are in the current AI wave
• What “vibe coding” means and why people talk about it
• Why building products is becoming easier than ever
• The shift from designing interfaces to building real products
• Why experimentation and curiosity are becoming essential skills
• The mindset designers need in an AI-driven world
• Why great products are still about solving real problems

About Felix

Felix Haas works at Lovable and shares insights about AI, building products, and vibe coding. Before that, he ran his own agency in Berlin and has been active in the design and startup world for many years.

Follow Felix:
LinkedIn

Substrack

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In this episode of Future of UX, I’m sharing the three things I would do if I were starting my design career today as a junior UX/UI/Product Designer.

And I’m not saying this as abstract advice. I’m saying it as someone who started almost 10 years ago with basically zero real UX skills, taught myself a lot on the job, and built a career in a market that was booming back then.

The difference is: the market today is tighter, teams are leaner, and AI is automating a lot of the tasks that used to be classic “junior work.” So the big question becomes:

If execution is getting cheaper and faster… what becomes valuable?

• What’s actually changing for junior designers (and why it’s not just hype)

• Which junior tasks are increasingly automated

• Where junior designers are most vulnerable (and how to avoid that trap)

• The 3 highest-leverage moves I’d focus on in 2026–2028:

  1. Become AI-native (build workflows, not just prompts)

  2. Build product thinking early (learn the “why,” not just the “how”)

  3. Become the human layer in human–AI systems (trust, transparency, oversight)

You don’t need to master every tool. But you do need to move. Start small, build confidence, and position yourself above pure execution work.

What we coverKey takeawayAnd if you want to connect, I’m most active on LinkedIn (and sometimes on Instagram too), where I share tools, resources, and experiments.

🔗 Resources Mentioned

The Shape of AI – AI UX Patterns Library: https://www.shapeof.ai/

Microsoft HAX Toolkit – Guidelines for Human–AI Interaction
https://www.microsoft.com/en-us/haxtoolkit/ai-guidelines/

.

Google PAIR – People + AI Research
https://design.google/library/people-ai-research

People + AI Guidebook (Google PAIR)
https://pair.withgoogle.com/guidebook/

World Economic Forum – Future of Jobs Report
https://www.weforum.org/reports/the-future-of-jobs-report/

McKinsey – The Economic Potential of Generative AI
https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-economic-potential-of-generative-ai

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What if the future of UX isn’t about better interfaces — but about moving beyond interfaces altogether?

In this episode, I’m joined by Morten Rand-Hendriksen, Principal Instructor at LinkedIn Learning, to talk about where design is really heading in the age of AI.

Morten has a background in web development, UX, and interaction design, and over the last years has gone deep into AI and product thinking. We’ve met at conferences like Future Product Days and had several conversations before — and every time, he brings a perspective that challenges assumptions in the best possible way.

This episode is not about tools.
It’s about responsibility, agency, power shifts — and what it really means to be a designer today.

We talk about:

• Why technology is always a choice — even when it feels inevitable
• What happens when users bypass interfaces completely
• Why designing for screens might already be outdated
• How AI agents change the balance between automation and control
• Why service design is becoming more important than ever
• Why designers now have an advantage over engineers
• And what junior and mid-level designers should focus on today

One of my favorite moments:

“You didn’t become a designer to move pixels. You became a designer because you saw how the world could be better.”

This conversation goes deep. It touches capitalism, automation, AI agents, product moats disappearing, and why the future belongs to people who understand systems — not just surfaces.

If you’re feeling excited, overwhelmed, curious, or slightly uncomfortable about where AI is taking design — this episode is for you.

Find Morten:

Linkedin

Morten's Ted talk

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In this episode, we unpack a viral AI essay that compares today’s AI moment to February 2020 the calm before global disruption.

The author argues that AI has entered a new “phase change.” That systems like GPT-5.3 Codex and Claude Opus 4.6 are no longer just assistants, but autonomous agents capable of planning, executing, and iterating complex work independently.

But is this reality or hype?

As UX designers, we don’t need panic.
We need perspective.

In this episode, I explore:

• What the viral article actually claims

• Why it’s spreading so fast

• What “agentic AI” really means

• How leading voices are reacting — from optimism to skepticism

• And how you can prepare long-term as a designer in an accelerating world

This isn’t about fear.
It’s about clarity, adaptability, and momentum.

Here are some of the voices referenced in this episode. I highly recommend exploring their work and forming your own opinion:

Matt Shumer
Founder & AI entrepreneur. Author of the viral “February 2020 moment” essay.

Nate B. Jones
AI commentator discussing the “phase change” toward agent swarms and autonomous systems.
YouTube

Allie K. Miller
AI advisor and former Amazon AI leader. Talks about “information asymmetry” and hands-on benchmarking with advanced AI systems.
LinkedIn

Ann Handley
Marketing leader and author advocating against AI panic — emphasizing human judgment and relationships.
LinkedIn

Gary Marcus
AI researcher and cognitive scientist offering a skeptical counterpoint on reliability and hype.
Substack

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In this episode of Future of UX, I’m joined by Julian Della Mattia, Senior User Insights Manager at DuckDuckGo.

I first came across Julian through his conference talk on synthetic users, and it immediately stood out. Not because it was hyped, but because it was thoughtful, critical, and refreshingly honest. At a time when AI research tools are popping up everywhere, Julian brings a grounded perspective on what actually helps, what quietly misleads teams, and why judgment still matters more than speed.

In this conversation, we talk about:

• What synthetic users really are and what they’re not

• Where AI-generated users can be useful and where they become risky

• Why “plausible” answers are often more dangerous than wrong ones

• AI-moderated interviews and what they do well (and badly)

• Bias, validation, and responsibility in AI-supported research

• How the role of UX researchers is shifting from execution to orchestration

This episode isn’t about replacing research with AI.
It’s about learning how to use AI as a tool without losing context, empathy, or decision quality.

If you work in UX, research, or product, and you’re trying to make sense of how AI is changing research practice right now, this episode will give you a much clearer mental model.

Resources mentioned:

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👉 0€ AI mini Training for Designers 👈

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AI tools that talk are familiar by now.
AI systems that act are something else.

In this episode of Future of UX, Patricia takes a closer look at OpenClaw, an emerging AI agent system that can execute real actions instead of just giving advice.

Rather than repeating the hype, this episode breaks down what OpenClaw actually is, why it’s getting so much attention, and why it raises important questions for UX designers.

You’ll hear about:

• What OpenClaw does and how it works at a high level

• Why the shift from interaction to delegation is such a big deal

• How agent-based systems change the meaning of “good UX”

• Why undo, transparency, and permission design suddenly matter much more

• Where the real risks are, including security, over-delegation, and loss of control

• What designers should pay attention to as software starts acting on our behalf

This episode is not about whether OpenClaw will “win.”
It’s about what tools like this signal for the future of UX.

As software moves from responding to acting, UX design moves closer to governance, safety, and responsibility.
And that’s a shift designers can’t afford to ignore.

AI for Designers: 5-week Bootcamp 💻

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✨ Free ✨ Design Trend report 2026

⁠⁠Get access to the trend report (40min video)⁠

👉 0€ AI mini Training for Designers 👈

→ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Learn 3 strategies to leverage gen AI as a designer in just 30 min⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



💌 Newsletter

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Follow the Future of UX:

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📸 Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Future of UX Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

🍏 Apple Podcast: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Future of UX⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

💚 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Future of UX⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠





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AI for Designers: 5-week Bootcamp 💻

→ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Sign up for the 5 week bootcamp

✨ Free ✨ Design Trend report 2026

⁠Get access to the trend report (40min video)

In this episode, I’m taking you behind the scenes into real stories from design sprints, roadmap meetings, and client challenges and all to unpack the 6 most important meta-skills that will define successful UX and Product Designers by 2030.

We’ll talk about:

• What truly separates good from top-tier designers

• How AI is changing the rules — and where your human edge lies

• Concrete exercises, prompts, and ways to practice these skills in your day-to-day

• What you should focus on in 2026 vs 2028 vs 2030

• How to stay relevant as the field evolves faster than ever

Whether you're a senior designer, strategist, or just starting out, this episode is packed with hands-on insight and mindset shifts you’ll want to revisit.

🎯 The 6 Skills We Cover:

1. Design Judgment – How to make smart decisions when data is fuzzy or feedback contradicts itself

2. Influence Without Authority – Learn to drive alignment and product decisions, even without a formal title

3. Outcome Thinking – Shift from “shipping screens” to solving real user and business problems

4. Systems Thinking – Connect the dots across journeys, edge cases, and unintended consequences

5. AI Fluency & Automation Awareness – Understand how to partner with AI tools instead of fearing them

6. Strategic Framing – Reframe design challenges to match stakeholder goals, timing, and user impact

👉 0€ AI mini Training for Designers 👈

→ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Learn 3 strategies to leverage gen AI as a designer in just 30 min⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



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Follow the Future of UX:

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🍏 Apple Podcast: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Future of UX⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

💚 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Future of UX⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠





Find Patricia on Socials

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