Future of UX | Your Design, Tech and User Experience Podcast | AI Design

Meta's Muse is one of the best designed AI products of the year, and its little keychain, the Muse Charm, is coming by December. In this episode I look at what is inside the horse: hourly files on you and the people you mention, training switched on by default, a test with human callers, and an agent that couldn't explain what it had access to. Then I put Muse next to Meta's history of gifts first and terms later, from Onavo to the Ray-Ban glasses to our Instagram photos. I argue against myself, and I finish with three design decisions and three predictions on where consent goes once the screen disappears.

Key learnings

• What Muse, Muse Spark and the Muse Charm actually are
• What TIME found in Muse's instructions, and why the people around you are in it too
• The gift first, terms later pattern across Meta's products
• Three design decisions: defaults, visible memory, bystander consent
• Where consent design is heading for us as designers

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This summer, more than a thousand AI agents broke out of a test at OpenAI and hacked Hugging Face, because they were looking for the answers to an exam. A few weeks later a 27 year old researcher quit his job at Anthropic and said the AI labs are gambling with our lives, and since then it feels like everybody is afraid of AI.

In this episode I tell you the whole story from the beginning. What happened in that test lab, who Jacob Coxon is, why some people want to stop AI development and why others say the fear is hype or even marketing. And at the end I share what I think it means for us as designers, because almost everything that went wrong here is something we work on every day.

Key learnings

• What happened: how the agents talked to each other, broke into Hugging Face, and why one of them wrote "This is arguably unauthorized" and kept going.
• Fact and forecast: what both companies confirmed, and why the extinction warnings are a prediction that smart people disagree on.
• Four perspectives: the people who want to slow AI down, the security experts, the hype critics, and the money behind it all.
• Why designers are the most worried: a 2026 survey shows designers and researchers have the most AI anxiety of all tech workers.
• Where we have influence: permissions, visibility, a safe way for an agent to say "I can't do this", and honest trust.

Resources

• OpenAI: The Hugging Face incident and the road ahead
• Hugging Face: technical timeline of the agent intrusion
• Jacob Coxon's resignation thread on X
• MIT Technology Review on "Don't be fooled by this summer of AI hype"
• Lenny's Newsletter: how tech workers are feeling in 2026

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AI is taking over more and more of the making. What's left for us as designers is the meeting where it all gets decided, and I think most of us never learned how to handle that part.

In this episode I talk with facilitator and workshop designer Brittni Bowering, who has run sessions for teams at Google, Procter & Gamble, Lufthansa and PVH. We skip the career story and go straight into three meetings you have probably sat in over the last two weeks. First the kickoff where the PM shows up with a spec from ChatGPT and says the thinking is done. Then the design review where three people vibe coded their own prototype and everyone argues about which one looks better. And then the research readout with synthetic users whose quotes are a little too perfect.

For each one you get the actual words: the first question to ask, how to challenge the process without attacking the person, how to get a room to a decision with clear criteria and a quick vote, and what to say when your gut tells you the research is off but you have no data to prove it. Brittni also shares the three things she brings into every meeting, what stand-up comedy taught her about reading a room, and why the IKEA effect is the best way to stop being seen as the blocker.

Brittni is also joining the AI for Designers Bootcamp as a guest speaker this October.

Brittni's Resources:

Find Brittni on linkedin: Linkedin

🔵 Open for enrollment: AI for Designers Early Bird Until Thursday: ⁠https://ai-for-designers.com⁠

A special episode, a little outside the usual rhythm. Doors for the next round of my AI for Designers Bootcamp opened today. The early bird runs until Thursday, and there are only a few spots left.

If you're still on the fence, this one is for you. I'll tell you what happens inside the bootcamp and how a Monday there feels. You'll hear why it's built the way it is, starting with the moment earlier this year when I got stuck myself trying to automate one small task. We walk through all five weeks: research and prompting, AI prototyping, content generation with Adobe Firefly, UX for AI products, and the future of AI and design, where everyone presents their own project.

You'll also hear how the design systems session with Cristian Morales Achiardi almost didn't happen. I'll share what came up in last Thursday's clinic, when one designer sent in her whole AI setup for review. And I'll be clear about who this bootcamp isn't for.

We finish with what I think this means for us as designers over the next two years, and why none of us should be learning this alone.

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Part three of the identity crisis trilogy. The last three years have been a rollercoaster, and some days it just isn't fun to be a UX designer anymore. In this episode I stop describing the problem and tell you what I did about it. Why I spent a year treating this as a tool problem and why that failed. How I rebuilt my own positioning. The five things I genuinely run with AI in my week now, including the client story where four thousand support tickets changed a feature. The two things I refuse to hand over. Every objection I hear before someone books, answered honestly, including the ones I think are correct. And what AI for Designers is, four days before the waitlist opens for cohort seven.



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One UX designer, one fast team that stopped inviting him, and one escalation that made everything worse. In part two of UX Has an Identity Crisis, I share a story from a current client project and what it tells us about the rebuild. Why he lost, and why it has almost nothing to do with how good he is. The three roles UX is splitting into right now, and the one I would bet my career on. What I would do in his place from Monday, including how to bring real user evidence into a room with no research budget. And where I think this profession lands in the next two years.

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UX Has an Identity Crisis, and AI Is Just the Inspection

What is really changing in UX right now, the numbers behind it, and why AI is the inspection rather than the cause. Part one of two.

Resources and links

• AI for Designers Bootcamp: https://ai-for-designers.com
• Newsletter: https://patriciareiners.de/newsletter/
• Instagram: https://www.instagram.com/ux.patricia/
• NPR, jury finds Meta and Google negligent, March 2026
• NPR, child safety trial opening, August 2026




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📝 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠My UX Design Blog ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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Join the AI Workforce Challenge Sep 07 - Sep 14 LIVE ✨ Build your own agents and skills with Claude: Let's build together

Show notes / sources

• AI in Design Report 2026 — Teams chapter
• Designer Fund — AI in Design 2026: The inflection point is here
• The Rise of the Design Engineer — Our Culture Mag
• TechCrunch — Anthropic launches Claude Design
• DataCamp — What Is Claude Design?
• UX Planet — Why the UX Job Market is changing in 2026




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🎥 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

7 Day Challenge, build your own AI workforce. Starts 7 September, seven days, one hour a day. 🔧 ⁠Sign up here

I work 24 hours a week. If you opened my laptop today you would not find a chatbot. You would find an org chart, built in Claude Cowork: six departments, none of them human.

In this episode I take the whole thing apart. The four text files underneath it, which are the boring part and take an afternoon to write. The six departments built on top, which are the part that actually changed my week. And the one file almost nobody builds, the one that turns a fast tool into something that sounds like you.

What you get: why a prompt library quietly fails and a memory file does not, how to name your departments after your week instead of after the tools, why a narrow role writes better than a general assistant, the one rule that stops research from ever publishing, and the honest cost of owning a system like this.

No code anywhere in it. If you can rename a folder, you can build this.

7 Day Challenge, build your own AI workforce. Starts 7 September, seven days, one hour a day. 🔧 Sign up here

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Domingo Widen is a Staff Product Designer at Fin (formerly Intercom), where he leads the Frontend Infrastructure team — the team that builds the tools, design system and AI setup everyone else uses to ship. In this episode he opens up his actual workflow: a "Design Playground" repo every designer, PM and researcher can clone, prototyping directly in production, and "Search Intelligence" a persistent knowledge layer that teaches Claude how Fin designs and codes.

We talk about what happens when the Figma file stops being the deliverable: how a complex filtering system got built as a working prototype instead of ten mockups, how handoff turns into a PR plus an auto-generated spec, and why engineers ended up being the biggest users of the design team's skills. If you want a concrete, unhyped look at what an AI-native design team actually does day to day, this one is for you.

Key Learnings

• There are two modes of AI prototyping and you need both. 
• The design system is the guardrail that makes this safe. Because everyone builds on the same components and tokens, a PM or researcher can prototype without producing something off-brand or unusable.
• Skills are only as good as the information behind them. Fin's early skills gave mixed results — so they built "Search Intelligence", a persistent information layer that every skill reads from.
• Handoff becomes a PR + a generated spec. A "Search Handoff" skill reads the prototype code and writes the doc: architecture, what was built, which workarounds were needed, what broke. The engineer picks it up from there and focuses on plumbing, data and edge cases.

• The biggest users of the design team's skills are engineers. 
• Everyone works in the same medium now. PM, designer and engineer used to live in Google Docs, Figma and VS Code. Now it's one shared artifact — which makes conversations concrete but also creates an identity crisis for designers who defined their value by the file.
• Curiosity + critical thinking are the two traits that survive.
• Play is back — and it counts. Side projects (a baby sleep tracker, a garden planner that checks on tomatoes) are now part of a portfolio.

Domingo Widen

• LinkedIn: https://www.linkedin.com/in/domingowiden
• Portfolio: https://www.domingowiden.com
• X: https://x.com/DwidenR24

• Fin: https://fin.ai
• Fin Operator (the tool Domingo prototypes on in production): https://fin.ai/operator

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