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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🎥 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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

AI for Designers: 5-week Bootcamp 💻 opening September

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Find Patricia on Socials

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🎨 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Linkedin Patricia Reiners⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

🐦 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter @ux_Patricia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

📝 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠My UX Design Blog ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

🎥 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

In this first quarterly update I talk about the private company cohorts I'm building, the free Adobe Firefly workshop series, and three shifts I saw in the field over the last three months. Plus the honest version of how I actually work: three days a week, what that constraint did to my business, and the one thing I got wrong and waited far too long to fix.

IN THIS EPISODE

• Why Claude Code stopped being a developer tool and turned into a research interface
• How documentation moved from hygiene to infrastructure, and why designers are well positioned for that shift
• What changes in your design work the moment an AI feature acts instead of suggests
• Why being an expert in everything is no longer the goal, and what replaces it
• How working three days a week made my business sharper instead of smaller
• Why design teams rarely struggle with tool knowledge and almost always struggle with agreement
• The thing I waited six months too long to fix

RESOURCES

Work with me: if you're self-employed and open to collaborating at some point, fill out this short survey. Completely non-binding, takes two minutes.
https://docs.google.com/forms/d/e/1FAIpQLSef6hsir1t5StSir8yPVA-0T6YsojyCmfR8X4kidDb8f7wJXw/viewform

AI for Designers: 5-week Bootcamp 💻 opening September

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A designer with 20+ years of experience sits in front of twelve competent, AI-generated screens... and can't evaluate a single one. Not because they're bad. Because something is missing. And the same thing happened to me.

In this episode, I investigate this case like a detective story: What was taken from us? Who took it? The answer turned out to be the most hopeful thing I've learned about design in years, disguised as a crisis. Because the comps were never the design. The comps are the artifact. The design is the model in your head, and no tool can generate it.

In this episode:

• The mystery: why the most trained design judgment goes offline in front of good AI output (and why "AI output is slop" is the wrong explanation)
• The three suspects: the AI, the speed, and the surprising real culprit
• Why "the back-and-forth builds the model": the experiment that proves your value was never in the pixels
• The cold case behind it all: how we spent 20 years selling the first three rounds, and why that gap just closed forever
• The stakes ladder: what happens when a designer, a team, or a whole organization over-trusts AI output
• Taste redefined: deciding, not decorating, and why having no opinion defaults to the average
• The open question: if artifacts are cheap, is the "living transcript" the design deliverable of the future?
• Your homework: five questions before pixels

Resources mentioned:

• Christopher Noessel "Design Was Never the Comps: What I learned when Claude Design dumped a dozen screens on me"
  https://christophernoessel.medium.com/design-was-never-the-comps-what-i-learned-when-claude-design-dumped-a-dozen-screens-on-me-73893af464ae
• Christopher Noessel "RationaleBot: Why design's near-future deliverable is a living transcript"
  https://christophernoessel.medium.com/rationalebot-why-designs-near-future-deliverable-is-a-living-transcript-c70613215359
• Christopher Noessel — "Get Claude Design to present like a consultant" (follow-up with the practical prompt)
  https://christophernoessel.medium.com/get-claude-design-to-present-like-a-consultant-6bf22261717f

• Roger Wong "A Sunday Afternoon with Claude Design" (the squiggly line, Picasso's nine Guernica studies)
  https://rogerwong.me/2026/04/sunday-afternoon-claude-design
• Anthony Wood (House of gAi) "Claude Design Came for the First Three Rounds. Not the Designers."
  https://medium.com/@ant_95138/claude-design-for-designers-what-anthropics-new-ai-tool-means-for-the-craft-f1e5378fcb50
• Michal Malewicz — the Slopless manifesto
  https://slopless.design/

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A client of mine just rebuilt their entire Figma design system — roughly 700 components — as code components in Claude Code. It took one day. And now their designers prototype in code, while Figma has become the tool they open "when they occasionally need to design something."

In this episode, I unpack what this story reveals about where our jobs are heading. The "should designers code?" debate is over — but we didn't end it. The job market did. And the way our roles are changing isn't arriving as a memo. It's arriving as convenience.

In this episode:

• Why prototyping in the real system (instead of a Figma simulation) is a genuine qualitative leap — and why the design-to-dev handoff gap just disappeared
• The four quiet problems nobody talks about: fast isn't faithful, two sources of truth, the illusion of production-ready, and the question of where invention lives now
• Why role creep in 2026 doesn't come from your boss — it comes from your tools
• The one question that matters more than "should designers code?": are you building the mental model, or just orchestrating outputs?
• Your homework: pick one workflow change that happened "by itself" and choose it on purpose

AI for Designers: 5-week Bootcamp 💻 opening September

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Most designers think Claude Code is a developer tool. Caitlin Sullivan makes the case that it's one of the most underrated tools for customer research and insight work. In this episode we talk about how she actually uses AI to get from raw customer conversations to insights you can act on, and why designers shouldn't wait for permission to pick this up. If you've felt stuck in the chat window, this one's for you.

Key Learnings

• Why Claude Code is useful for designers and researchers, not just engineers
• How Caitlin turns messy interview and customer data into clear patterns
• Where AI actually adds value in research, and where human judgment still has to lead
• A simple way to start if you've never touched anything beyond a chat interface

Find Caitlin Sullivan:

Linkedin: https://www.linkedin.com/in/caitlindsullivan/
Newsletter: https://aicustomerresearch.substack.com/
Course: https://maven.com/caitlin/claude-code-insights

AI for Designers: 5-week Bootcamp 💻 opening September

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📝 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠My UX Design Blog ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

🎥 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Most teams default to chat when they think about adding AI to a product. But chat is just one pattern — and often not the right one. In this episode, Patricia breaks down the four AI interaction patterns every designer needs to know: Advisor, Generator, Agent, and Orchestrator. Each one has a completely different UX logic, a different failure mode, and a different answer to the one question that matters most: who carries the risk when the AI is wrong?

Key Learnings:

• There are four distinct ways AI can show up in a product — and most teams only ever reach for one
• Each pattern has a different design job: skimmable, editable, reversible, legible
• The question "who carries the risk when the AI is wrong?" will change how you approach every AI feature you design
• Most real products are a mix of patterns — knowing which part is which is where the real design work starts

Grab your early-bird ticket for the Future Product Days:

⁠https://www.futureproductdays.com

AI for Designers: 5-week Bootcamp 💻 opening September

→ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Sign up for the ⁠waiting list⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



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Follow the Future of UX:

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Find Patricia on Socials

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🎥 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Junior design jobs are disappearing and most people are blaming the wrong thing. In this episode, I break down what's actually happening to entry-level design roles right now, why AI is only part of the story, and where the real opportunities are hiding. If you're starting your design career or feeling stuck in the job market, this one is for you.

What You'll Learn

• Why junior design hiring is down — and why AI is only part of the story
• Which specific tasks AI is automating right now (and which tools are doing it)
• What the "learning loop problem" is and why it matters more than the job numbers
• Where the real entry points are in 2025/2026: niches, new roles, new signals
• What hiring managers actually want to see in portfolios right now
• What "agentic experience design" is and why it's one of the fastest-growing new roles

Key Takeaways

1. Entry-level design postings are down 43% since 2022 — but this is a restructuring, not the end of design
2. AI is absorbing the "starter tasks" that juniors used to learn on — wireframing, synthesis, documentation — and that disrupts the learning loop, not just the job market
3. The designers getting traction right now are AI-native, niche-focused, and show thinking over polish in their portfolios
4. New roles like Agentic Experience Designer and Design Engineer are emerging — and almost no one is specializing in them yet

Grab your early-bird ticket for the Future Product Days:

https://www.futureproductdays.com

Resources Mentioned

• SignalFire State of Tech Talent Report 2025 — signalfire.com
• Figma's Design Hiring Manager Survey 2025 — figma.com
• Google Stitch (formerly Galileo AI) — stitch.withgoogle.com
• Dovetail — dovetail.com (AI research synthesis)
• UX Pilot — uxpilot.ai (AI wireframing)

AI for Designers: 5-week Bootcamp 💻 opening September

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📝 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠My UX Design Blog ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

🎥 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠