Podcast
AI and Design
Two Carnegie Mellon faculty explore how artificial intelligence is reshaping the world of design. Each week, we'll break down the latest AI developments, dive deep into AI topics that matter to designers, and talk with fascinating guests who are right at the intersection of these fields.
All views expressed are our own and not reflective of Carnegie Mellon or the Human-Computer Interaction Institute.
- Design chart
- #137
- Episodes
- 40
- Releases
- Weekly
- Typical length
- 50 min
- On air since
- 2026
- Latest episode
- 6 days ago
Episodes
40 episodes, newest first
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1 hr 4 min
Structured AI Context, How PMs are Being Affected by AI, A Conversation with Junior Designers
Season 1, Episode 40
Show notes
Episode 40 starts with a quick note that it’s launch week for Dan’s debut novel, The Restoration, then turns to the week’s news. Nik covers Anton Sten’s method for giving AI structured context with two markdown files: a chronological running-notes log and a stricter decisions log with the newest entries first. Dan then walks through Casey Winters’ interviews with product managers about how AI has changed their work. PMs are shipping more without matching business results, prioritization has to be relearned now that engineering scarcity no longer forces it, and trust in AI drops as PMs’ workflows get more sophisticated. Last, they discuss Ron Goldin’s case that “product designer” no longer describes a job, and his replacement of four attributes: Style, Strategy, Builder, and Operator.
In the second half, four recent CMU HCI graduates describe what entering the field is like right now. Lisa, Nava, and Qiyu work in design roles, and Sean is a PM. They talk about a brutal job market (Sean’s company got roughly 80,000 applicants for 14 new-grad roles) and about roles blending as designers write PRDs and PRs they can’t fully verify. They also talk about mentorship increasingly coming from engineers, LinkedIn, and Claude itself. Their organizations handle AI very differently: one product team has banned AI-written PRDs because everyone’s agents reached the same conclusions, while elsewhere design is the last step still done by hand. Their advice to students and educators: learn by doing, build with AI out of curiosity rather than FOMO, keep returning to first principles, and make sure you are the one who actually understands the work.
LINKS
Dan's debut AI novel The Restoration
https://mybook.to/TheRestoration2176Where Decisions Live – Anton Sten
https://www.antonsten.com/articles/where-decisions-live/How PM Work Is Changing in the AI Era – Casey Winters
https://www.caseyaccidental.com/p/how-pm-work-is-changing-in-the-aiProduct Designer Is No Longer a Job Description – Ron Goldin
https://rongoldin.substack.com/p/product-designer-is-no-longer-a-jobGartner Hype Cycle
https://www.gartner.com/en/research/methodologies/gartner-hype-cycle -
31 min
OpenAI's Intelligent UI, Facebook's Your Algorithm, AI Relationship Quality (ARQ)
Season 1, Episode 39
Show notes
Fresh off their first live show, Nik and Dan look at three stories about who gets to shape what AI shows us. First up is OpenAI’s Intelligent UI, which lets GPT-6 build small interactive interfaces (charts, forms, buttons, maps) inline in ChatGPT instead of returning a wall of text. They compare it to Claude Artifacts, argue that speed is what makes it usable as a default, and ask what happens when companies like QuickBooks have to hand over a design system for their product to show up inside someone else’s chat window. Is ChatGPT becoming an operating system that generates apps on demand, across the silos our tasks currently live in?
Next, Facebook’s “Your Algorithm” lets people steer their Feed and Reels in plain language. Dan draws on his time at Twitter and the promise of Bluesky’s algorithm marketplace; Nik wonders whether more control might raise engagement rather than lower it, and how this data could feed Meta’s Muse agents. Finally, UserTesting has rebranded as Auros and is pivoting toward AI training and evaluation with verified human experts. Its new AI Relationship Quality (ARQ) benchmark measures trust, affinity, and control alongside technical performance, which leads to a frank conversation about why benchmark gains don’t always produce models that are pleasant to work with, and whether ARQ could become the NPS of AI.
LINKS
OpenAI Wants ChatGPT to Stop Looking Like a Chatbot (Gizmodo)
https://gizmodo.com/openai-wants-chatgpt-to-stop-looking-like-a-chatbot-2000823211
Facebook Is Giving Users More Control Over Their Algorithm (TechCrunch)
https://techcrunch.com/2026/10/13/facebook-is-giving-users-more-control-over-their-algorithm/
UserTesting Rebrands as Auros, Aims to Bring Humans into AI Experience (Constellation Research)
Auros Adds ‘Human Elements’ to AI Evaluation (Daily Research News)
https://www.mrweb.com/drno/news40429.htm
Dan’s debut AI novel The Restoration (2176, Book One)
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1 hr 1 min
Live at IxDA Pittsburgh - How to be a designer in 2027
Season 1, Episode 38
Show notes
This week, Dan and Nik recorded live at the IxDA Pittsburgh meetup. We discuss how we are thinking about being designers in the future, what we are teaching students, and what tools we are using. We take audience questions and hear about how these professional designers are working with AI today.
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53 min
The Fastest Gun in the West, Multiplayer AI, Serious AI Products & Jeremy Belcher
Season 1, Episode 37
Show notes
The Fastest Gun in the West: https://www.doc.cc/articles/fastest-gun
We're building multiplayer AI. Here's what we've learned so far: https://newsletter.posthog.com/p/were-building-multiplayer-ai-heres
What would a serious AI product look like? https://blog.glyph.im/2026/09/serious-ai-product.html
Jeremy Belcher
Robot Heart - http://www.robotheart.studio/
LinkedIn https://www.linkedin.com/in/jeremybelcher -
58 min
AI Sychophancy with Steve Rathje
Season 1, Episode 36
Show notes
This week Dan and Nik sit down with Steve Rathje, a new HCII colleague who runs CMU's Psychology of Technology Lab, to talk about what sycophantic AI does to the people using it. Steve's team randomly assigned people to chat with bots that were flattering, disagreeable, or neutral. People liked the flatterers, shrugged at the neutral ones, and hated the bots that pushed back.
For designers, the news is mixed. Validation drives enjoyment, but cherry-picked facts do the persuading, so pairing a little warmth with opposing evidence makes disagreement easier to take (at some cost to its persuasive punch). The bad news: across six studies from three research teams, teaching people about sycophancy through warnings, videos, or quizzes made the chatbot seem less trustworthy but no less persuasive. That puts the little "AI can make mistakes" disclaimer in an unflattering light. We also cover AI dark patterns, whether the right dose of sycophancy depends on the task, and Dan's random idea of a group chat of dueling AI personalities.
Plus, Nik explains Jev and the new class of fast, cheap "System One" decision models, and we look at pieces from Microsoft and DoorDash design teams on why AI evals should measure what users experience as well as what models get right.
LINKS
Jev decision model touted as quicker, cheaper LLM alternative (TechTarget)
https://www.techtarget.com/it-infrastructure/news/366650696/Jev-decision-model-touted-as-quicker-cheaper-LLM-alternativePutting the user back into AI Evaluation (Microsoft Design)
https://microsoft.design/articles/putting-the-user-back-into-ai-evaluation/Building AI Evals: Who Gets to Decide What’s Good? (Doordash Design)
https://medium.com/design-doordash/building-ai-evals-who-gets-to-decide-whats-good-39671385f50dSycophantic AI increases attitude extremity and overconfidence (Rathje et al.)
https://osf.io/preprints/psyarxiv/vmyek_v1/Observing sycophantic AI validate others reduces its appeal but not its persuasiveness (Ye, Kraut & Rathje)
https://arxiv.org/abs/2607.25166v1Sycophancy in GPT-4o: What happened and what we're doing about it (OpenAI)
https://openai.com/index/sycophancy-in-gpt-4o/Silicon sycophants: the effects of computers that flatter (Fogg & Nass, 1997)
https://www.sciencedirect.com/science/article/pii/S1071581996901044Insincere Flattery Actually Works: A Dual Attitudes Perspective (Chan & Sengupta, 2010)
https://journals.sagepub.com/doi/abs/10.1509/jmkr.47.1.122On the conversational persuasiveness of GPT-4 (Salvi et al., Nature Human Behaviour)
https://www.nature.com/articles/s41562-025-02194-6@Grok Is This True? LLM-Powered Fact-Checking on Social Media (Renault, Mosleh & Rand)
https://osf.io/preprints/psyarxiv/85quw_v1Steve Rathje's website
https://stevenrathje.com/Steve Psychology on TikTok
https://www.tiktok.com/@stevepsychology -
31 min
Google CC, Controlling Image Generators, and Planning with Agents
Season 1, Episode 35
Show notes
This week we talk about Google's new CC agent for managing family tasks, some techniques to control image generators when you want to constrain certain elements, and a deep article on planning with AI agents.
Show Notes
• https://techcrunch.com/2026/09/18/googles-new-cc-is-an-ai-agent-that-helps-families-run-their-households/
• https://trpevski.com/blog/image-model-decide-everything
• https://maggieappleton.com/planning-agents
• Mai Lee Chang, Alicia (Hyun Jin) Lee, Nara Han, Anna Huang, Hugo Simão, Samantha Reig, Abdullah Ubed Mohammad Ali, Rebekah Martinez, Neeta M Khanuja, John Zimmerman, Jodi Forlizzi, and Aaron Steinfeld. 2024. Dynamic Agent Affiliation: Who Should the AI Agent Work for in the Older Adult's Care Network? In Proceedings of the 2024 ACM Designing Interactive Systems Conference (DIS '24). Association for Computing Machinery, New York, NY, USA, 1774–1788. https://doi.org/10.1145/3643834.3661500ShiftUX workshop: https://shiftux.rosenfeldmedia.com/workshops/designing-ai-for-humans
ShiftUX talk: https://shiftux.rosenfeldmedia.com/program/day-2-turing-machines/
Dan's ShiftUX Discount Code: SAFFER-SHIFT26
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50 min
Apple's Siri AI and Audio Intelligence, Project Solaris, Miro Sale, AI Tool Building
Season 1, Episode 34
Show notes
In this episode, Dan and Nik unpack Apple's big announcements from its latest event, starting with Siri AI: now a dedicated app with personal context indexing, on-screen awareness, and in-app actions, launching in beta with iOS 27 . They dig into the promise and limitations of Apple-only app integration, the EU regulatory lockout, and what daily usage caps signal about Apple's services ambitions. The conversation gets more charged around Audio Intelligence, Apple's new always-on listening features for the Apple Watch, including live audio rewind and Siri Recap summaries of real-world conversations. Dan and Nik wrestle with the surveillance implications, the absence of any on-device indicator, and whether this crosses a line — particularly in two-party consent states like Pennsylvania and California.
The back half covers Runway's Project Solaris, a generative UI concept that uses its video model to render fully interactive, pixel-based interfaces with no underlying code. Dan sees echoes of Microsoft's Bob-era skeuomorphism and questions whether it misunderstands fifty years of HCI; Nik finds more to like in its challenge to the sameness of modern app design. They then turn to the surprise sale of Miro to Bending Spoons for $1.36 billion — a 90% haircut from its 2021 peak valuation — and what it means when a profitable, hundred-million-user company gets absorbed into a portfolio known for maintaining but not advancing its acquisitions.
The episode closes with a discussion of Benedict Evans' essay "AI, Tools and Transformation," which argues that the Silicon Valley vision of everyone rolling their own SaaS tools misunderstands how most people think about their work.
LINKS
Introducing Solaris
https://runway.com/news/research/introducing-solarisBending Spoons to buy collaboration tools maker Miro for $1.36B, 90% less than its 2022 valuation
https://techcrunch.com/2026/09/10/bending-spoons-to-buy-collaboration-tools-maker-miro-for-1-36b-90-less-than-its-2022-valuation/AI, Tools and Transformation (Benedict Evans)
https://www.ben-evans.com/benedictevans/2026/9/3/ai-tools-and-transformation -
35 min
Mobbin MCP, Perplexity and Nvidia Local AI Agent, Design Ledgers
Season 1, Episode 33
Show notes
This week on AI and design, we highlight the release of Mobbin's MCP, Perplexity and NVIDIA's local AI agent, and the concept of design ledgers. Dan also has some new speaking engagements you can join coming up.
Chapters
• 00:00 Introduction to AI and Design
• 01:11 Upcoming Speaking Engagements
• 04:44 Mobbin's MCP Release
• 11:34 Perplexity and NVIDIA's Local AI Agent
• 23:54 The Concept of Design LedgersShow Notes
• https://mobbin.com/mcp
• https://venturebeat.com/infrastructure/perplexity-partners-with-nvidia-to-launch-portable-computer-a-fully-local-ai-agent-with-zero-token-costs
• https://www.proofofconcept.pub/p/the-ledger-of-designDan's Speaking Engagements
ShiftUX workshop: https://shiftux.rosenfeldmedia.com/workshops/designing-ai-for-humans
ShiftUX talk: https://shiftux.rosenfeldmedia.com/program/day-2-turing-machines/
Dan's ShiftUX Discount Code: SAFFER-SHIFT26Chicago Camps' Leadership by Design: https://chicagocamps.org/event/leadership-by-design-2026/
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39 min
Figma Make Time Savings, LLM Bias Affects Designers, Target's AI/UX Bid, EasyCircuit
Season 1, Episode 32
Show notes
Nik and Dan open the fall semester with a look at how their own courses have been rebuilt around AI this year. Nik's third run of AI Augmented Designer now leans hard into professional software development practice. Dan is teaching Designing for AI Products and Services, an Advanced Interaction Design Studio reworked around AI-ready design systems, and a new independent study with Brad Myers on "AI widgets" — what happens when scroll bars, cut-and-paste, and other decades-old microinteractions get smarter.
This week’s news: Figma's randomized controlled trial on Figma Make found roughly 20% time savings, but Nik pushes on whether a 52-minute task dropping to 45 minutes actually feels different, or whether the real gain is more iteration cycles. Maud Benaddi's article on bias in LLMs prompts a discussion of how training-data skew shows up in generated personas, AI-assisted copy, and flattened qualitative research summaries; Nik connects it to Liz Gerber's exercise having students generate personas of themselves and watch the class recoil. Target's appointment of its first chief AI officer, Chandhu Nair, alongside Purvi Shah as SVP of UX, gets read as a welcome sign of AI and UX paired around real operational value rather than an AI strategy for its own sake. We close on EasyCircuit, a new app for vibe-coding hardware prototypes — fun, promising, and, as Nik found when a wiring render would have let the blue smoke out, a reminder that basic usability QA still matters.
LINKS
Measuring Time Savings From Figma Make
https://www.figma.com/blog/measuring-time-savings-from-figma-make/
Bias in LLMs, or how to design for everyone with tools built for someone — Maud Benaddi
Target Strengthens AI and UX Capabilities to Power Its Next Chapter of Growth
https://corporate.target.com/news-features/article/2026/08/chandhu-nair-purvi-shah
EasyCircuit
Dr. Liz Gerber’s LinkedIn post
https://www.linkedin.com/posts/elizgerber_ai-builds-cardboard-cutouts-of-people-not-share-7440452615232024576-aS5k/ -
50 min
Deep Dive: Andy Budd on the Future of the Design Industry
Season 1, Episode 31
Show notes
Andy Budd — reformed designer, coach to design leaders, and advisor at VC fund Seedcamp — joins Nik and Dan for a wide-ranging conversation about whether the design industry is about to boom or bust. Andy argues we hit "peak designer" around 2021–22, and that we're now in an era of Schrödinger's design and nobody has opened the box. The bull case is that AI hands designers the means of production. No more petitioning product managers for backlog space or begging engineering for a prototype — designers can spot the debt, fix it, and ship it. The bear case is that everyone else got there first. Product managers can now design, engineers can now do discovery, and design shrivels down to a five-person team babysitting the design system for a 300-person engineering org.
We talk about taste of course, but Andy points out that everyone thinks they have taste. He also revisits his poker-versus-chess framing — designers study the board and hate mistakes while their peers just want to play every hand. We end on a genuinely unsettled note about the industry itself. How are your house painting skills?
LINKS
The Bull And Bear Case For Digital Design In The Age Of AI https://www.smashingmagazine.com/2026/07/bull-and-bear-case-digital-design-age-ai/
The Six Levels of Adaptive Software
https://www.andybudd.com/archives/2026/06/the-six-levels-of-adaptive-softwareAI and the Mangrove Problem
https://andybudd.com/archives/2025/09/ai-and-the-mangrove-problemThe Growth Equation book
https://www.andybudd.com/book/design + AI Summit — Brighton Dome, 24–25 September 2026
https://designplusaisummit.com/Andy Budd's blog
https://www.andybudd.com/Smilla’s Sense of Snow book
https://amzn.to/4znTIPtPattern Recognition book
https://amzn.to/4znk9F5 -
39 min
Summer 2026 Hot Takes
Season 1, Episode 30
Show notes
This week, Dan and Nik make some hot takes on news that has come out this summer.
Everyone's work is starting to look the same: https://marieclairedean.substack.com/p/everyones-work-is-starting-to-look
LLMs reward expertise: https://www.seangoedecke.com/llms-reward-expertise/
A Properties Panel and Annotations, Now in Figma Make: https://www.figma.com/blog/properties-panel-and-annotations-now-in-figma-make/
Unpacking ChatGPT Work: the Agent for a Billion Users: https://www.latent.space/p/unpacking-chatgpt-work
Agent Behavior (http://agentbehavior.dev)
Measuring the UX of AI: https://measuringu.com/measuring-the-ux-of-ai/
Type designers have created a free font that "poisons" AI: https://www.creativebloq.com/design/fonts-typography/type-designers-have-created-a-free-font-that-poisons-ai
LinkedIn's new anti-slop button is coming to every platform: https://www.fastcompany.com/91584892/linkedins-new-anti-slop-button-is-coming-to-every-platform
How writers are reacting to Substack’s AI transparency tools: https://on.substack.com/p/how-writers-are-reacting-to-substacks
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47 min
Deep Dive: 2026 Figma AI Report with Figma's Andrew Hogan and Shane Johnston
Season 1, Episode 29
Show notes
Andrew Hogan and Shane Johnston of Figma join Dan and Nik to unpack Figma's 2026 AI report. The headline is about AI shifting from individual productivity to team dynamics: 41% now say AI meaningfully changes how their teams work together, up from 7% two years ago. Shane and Andrew deliberately interrogate the "10x everybody" narrative: output is measurably up (lines of code, App Store submissions), but outcomes aren't following, because AI is exposing the communication and alignment seams that were always there. Handoffs can still be an issue. Prototypes are trivial to generate but very hard to dissect. And perhaps unsurprisingly, decision-making turns out to be the real bottleneck.
The conversation also covers the blurring of roles (designers shipping fully functional AI-built prototypes jumped from ~10% to 61% in a year; developers doing design work is up sharply) and why developers are now among the loudest voices arguing design matters more. Andrew and Shane reframe role overlap as tax reduction rather than job-stealing — the designer who fixes the visual bug instead of filing the ticket — and make the case for the canvas as shared context, for design systems as the thing "orchestrating relationships" between functions, and for the four shapes of AI adoption (the nascent group has roughly halved to 18%).
LINKS
Figma's 2026 AI Report — blog post
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56 min
Training Taste, AI Systems Thinking, LLM Counter Defaults, and special guest Dan Maccarone
Season 1, Episode 28
Show notes
Everyone in design is yelling the same two words right now: taste and judgment. But how do you get them? David Hoang's "Training Design Senses" does, and this episode starts there: how to train the eye, design dexterity, fluency of aesthetics, and rhetoric, with a detour into what copying from masters means when the copying happens through an AI. Then Christine Zhu on systems thinking for agentic products, which asks PMs to stop shipping features and start gardening: decompose for agent experience, define contracts between the parts, build feedback loops that capture correction signals. Our last bit of news is LLM Counter-Defaults from Nadia Piet and AIxDESIGN, a slider-based tool that exposes the settings your LLM shipped with and writes the instructions to override them.
Our guest is Dan Maccarone, founder and CEO of Charming Robot, who spent a year rebuilding his studio's entire design process around AI after a project went sideways. He walks us through the experience brief (a PRD with a friendlier name), the whiteboard/review/approved branch structure, and what he calls high-speed mediocrity. He also explains why the prototype's 300,000 lines of code are never shipping anywhere, why documentation matters more now rather than less, and why his team still starts with sketching so they're building from their imagination instead of Claude's.
LINKS
"Training design senses"
https://www.proofofconcept.pub/p/training-design-senses”what systems thinking looks like for PM'ing AI products”
https://open.substack.com/pub/christinezhu/p/grow-systems-build-featuresLLM Counter-Defaults by Nadia Piet / AIxDESIGN
https://counterdefaults.aixdesign.co/Thinking in Systems book
https://amzn.to/4wuNA6oHow Buildings Learn book
https://amzn.to/4g2Y99V"Never mind the prompts, here's the thinking"
https://uxdesign.cc/never-mind-the-prompts-heres-the-thinking-f4af4b92155fCharming Robot
https://charmingrobot.comStory in a Bottle podcast
https://storyinabottle.charmingrobot.com/The Barstool MBA (Audible)
https://amzn.to/4pGRZ3qFool's Gold, NYC
https://www.foolsgoldnyc.com/MHCI Capstone sponsorship
https://hcii.cmu.edu/academics/mhci/capstone -
49 min
Bye Bye Purple Gradients: OpenAI's Design Push. Plus special guests: fuguUX
Season 1, Episode 27
Show notes
Dan and Nik dig into a trio of OpenAI stories: the launch of GPT 5.6 Sol and its jump to the top of the Design Arena leaderboard, notably by suppressing common AI design anti-patterns (goodbye, purple gradients) and combining known templates with customized outputs — followed by Figma Make's OpenAI integration and what it might signal about the shifting model landscape. They also geek out over Codex Micro, OpenAI's slick new macro keyboard designed by Work Louder, which uses RGB-lit keys to let developers monitor and control multiple coding agents without touching a mouse.
The episode's guest segment features Jason Hong and Sauvik Das, CMU HCII faculty and co-founders of fuguUX, an AI-powered usability auditing tool. Jason and Sauvik explain how frontier language models can now scale subjective design judgment — evaluating concepts like information scent that were previously impossible to codify — and walk through their two offerings: synthetic user testing (with a diverse cast of twenty AI agents built from Census microdata) and automated heuristic audits. The conversation touches on why B2B software remains so dreadful, the testing pyramid, and the long-term vision of continuously self-improving websites.
LINKS
Design Arena
https://www.designarena.ai/GPT 5.6 Sol topping the design leaderboard
https://notes.designarena.ai/how-openais-sol-finally-learned-design-taste/Codex Micro
https://openai.com/supply/co-lab/work-louder/Figma Make + OpenAI integration announcement
https://www.figma.com/blog/gpt-5-6-is-now-available-in-figma-make/fuguUX
https://www.fuguux.com/ -
50 min
2026 Thus Far: 7 Big Themes
Season 1, Episode 26
Show notes
Dan and Nik pause at the halfway mark of 2026 to reflect on 25 episodes, 10 guests, and a wild six months in AI and design. Fresh off a week of building apps with Fable — Dan's ambient bird-listening app for AirPods, Nik's long-running multi-agent builds — they revisit the year's biggest themes: the collapse of fidelity and whether wireframes still matter, taste as the designer's (maybe) moat, cognitive surrender and the strange compulsion to keep feeding the machine, canvas versus code as Figma and Claude Design converge, designing for agents when your next user isn't human, the rise of markdown skills (and the ick of scraped design systems), the path for junior designers, and why user research may be the most undervalued discipline of the AI era.
LINKS
Scraped Styles MD repository
https://styles.refero.design/Reverse Centaurs Are the Answer to the AI Paradox
https://pluralistic.net/2025/09/11/vulgar-thatcherism/Aaron Draplin Takes On a Logo Design Challenge
https://www.linkedin.com/learning/aaron-draplin-takes-on-a-logo-design-challengeHow tech workers are feeling in 2026
https://www.lennysnewsletter.com/p/how-tech-workers-are-feeling-in-2026Why using AI leads to Brain Fry
https://hbr.org/2026/03/when-using-ai-leads-to-brain-fry -
37 min
Claude Design 2.0, Quality Bars, Layers of AI Experience, Perplexity Brain
Season 1, Episode 25
Show notes
Nik and Dan catch up on the news out of Figma Config 2026 — where generative plugins stole the show for Nik (build them with tokens, run them for free) — before digging into Anthropic's big Claude Design 2.0 overhaul, with canvas editing, design-system imports, a two-way round-trip with Claude Code, and a fix for its token-burning problem. From there: MC Dean asks who actually owns the quality bar when anyone can ship, Emily Campbell reimagines the layers of UX for probabilistic AI systems (goblins included), and Perplexity's new Brain points toward self-improving memory for agents. Plus a detour into AI memory, forgetting, and one very confused Claude that thought the show got renamed. Stick around for news on Dan's forthcoming sci-fi novel.
Show notes:
• Anthropic ships Claude Design 2.0 (VentureBeat): https://venturebeat.com/technology/anthropic-ships-major-claude-design-overhaul-with-design-system-imports-code-round-trips-and-a-fix-for-its-token-burning-problem
• MC Dean, "Who Sets the Quality Bar?": https://marieclairedean.substack.com/p/who-sets-the-quality-bar
• Emily Campbell, "Layers of AI Experience": https://emilycampbell.co/writing/layers-of-ai-experience
• Perplexity, "Self-Improving Memory for Agents" (Brain): https://www.perplexity.ai/hub/blog/self-improving-memory-for-agents
• Dave Song, "Control over Context" — user-led memory management concepts: https://medium.com/ui-for-ai/control-over-context-44d975e92efc
• Dan's upcoming novel, The Restoration (D.S. Duffy): https://dsduffy.com/ -
54 min
Hot Takes and Big Themes from Config 2026
Season 1, Episode 24
Show notes
Dan reports live from Figma's Config 2026 conference in San Francisco, talking with seven design leaders — Peter Merholz, Jesse James Garrett, Greg Petroff, Ryan Freitas, Kim Lenox, Alice Quan, and Emily Campbell — about the keynote, major announcements like Code Layers and Weave, and the vibe on the floor. The conversations circle a few big tensions: Figma's push into Adobe's territory (motion, brand, marketing) versus doubling down on AI-to-code workflows where competitors like Claude Design are gaining ground, the shrinking of design teams, and how designers can stay strategic by leaning into craft, taste, and curiosity. Off-stage, the mood was one of cautious adaptation — less panic than last year, more pragmatic grappling with what roles, tools, and identities look like now.
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30 min
Siri AI, A New Interaction-Focused AI Lab, Four Design AI Jobs, Perplexity Computer Research
Season 1, Episode 23
Show notes
A year ago the consensus was that AI would hurt Apple. Last week at WWDC they showed up with a real Siri AI, the privacy story nobody else can match, and the $$$ hardware to run it. The "AI for the rest of us" play might just work. Dan and Nik dig into what Apple actually shipped, why App Intents matter for designers, and the gut-punch reality that your year-old iPhone won't run it.
Also this episode: Airbnb CEO Brian Chesky is building a design-led AI lab, and nobody can quite figure out what it's selling. Sarah Gibbons maps the four design jobs AI has created so far. And Perplexity's research with Harvard Business School claims agents can cut task time by up to 92% — with enough caveats to fill a show.
LINKS
Secret AI Lab News
https://www.bloomberg.com/news/articles/2026-06-04/airbnb-ceo-brian-chesky-plans-to-start-a-new-ai-companyThe Four Design Jobs AI Created (So Far)
https://www.nngroup.com/articles/design-jobs-ai-created/Perplexity/HBS Research
https://arxiv.org/abs/2606.07489Thinking Machines Demo Video
https://youtu.be/A12AVongNN4?si=ODvSCf9IKTzwBiiU -
1 hr 3 min
Copilot Redesign, Is AI ever Done, Amazon Proteus, Miro's Head of AI Design Mark Boyes-Smith
Season 1, Episode 22
Show notes
Dan and Nik dig into Microsoft's sweeping redesign of 365 Copilot , transforming the prompt box into a task-aware workspace, leaning into progressive disclosure, and positioning AI as an embedded layer across Word, Excel, and Outlook rather than a bolt-on feature. They also discuss Jeff Gothelf's argument that "done" means something fundamentally different for AI products, where probabilistic outputs require teams to write acceptance criteria as distributions and build failure triage into launch rather than after. Rounding out the news: Amazon's Proteus warehouse robots can now take natural-language direction from human workers, and a Salesforce designer shares how her team is mastering AI tools through peer-to-peer learning, a dynamic that gives Dan flashbacks to the early days of the web.
Then Nik sits down with Mark Boyes-Smith, Head of AI Design at Miro, for a deep look at how one of the world's largest collaboration platforms is integrating AI at every layer. Mark walks through Miro's new Sidekicks and Flows features, including voice interaction and custom connectors, and talks candidly about how his distributed design team rapid-prototypes in code, branches and remixes ideas, and builds conviction before shipping. He also shares his thinking on designing for long-running agentic tasks, the coming challenge of multi-agent orchestration on an infinite canvas, and what resilience and "product taste" mean for designers navigating an era of relentless change.
LINKS
Microsoft Copilot 365 Redesign
https://www.microsoft.com/en-us/microsoft-365/blog/2026/05/28/introducing-a-new-design-for-microsoft-365-copilot/What “done” means when you’re shipping AI features
https://jeffgothelf.com/blog/what-done-means-when-youre-shipping-ai-features/Amazon's new Proteus warehouse robot
https://www.engadget.com/2187338/amazons-new-proteus-warehouse-robot-is-fully-autonomous/
Designing how designers master AI
https://uxdesign.cc/designing-how-designers-master-ai-642d8751d945
New Miro Features at Canvas26
https://www.youtube.com/live/qM-KxCr4I5I?si=HGtSokg95B9kO5k9
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1 hr 6 min
Figma and Stitch Updates, Design Memory, Fraude Design, Quilter CEO Sergiy Nesterenko
Season 1, Episode 21
Show notes
Updates to Figma and Google Stitch
https://www.figma.com/blog/figma-make-now-on-your-local-code
https://blog.google/innovation-and-ai/models-and-research/google-labs/stitch-updates/The Design System Advantage is Memory
https://learn.thedesignsystem.guide/p/the-design-system-advantage-is-memoryFraude Design
https://fraude.design/Nik's Interview with CEO of Quilter, Sergiy Nesterenko
https://www.linkedin.com/in/sergiynesterenko/
https://www.quilter.ai/
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