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.LINKSScraped Styles MD repositoryhttps://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 Challengehttps://www.linkedin.com/learning/aaron-draplin-takes-on-a-logo-design-challengeHow tech workers are feeling in 2026https://www.lennysnewsletter.com/p/how-tech-workers-are-feeling-in-2026Why using AI leads to Brain Fryhttps://hbr.org/2026/03/when-using-ai-leads-to-brain-fry

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-problemMC Dean, "Who Sets the Quality Bar?": https://marieclairedean.substack.com/p/who-sets-the-quality-barEmily Campbell, "Layers of AI Experience": https://emilycampbell.co/writing/layers-of-ai-experiencePerplexity, "Self-Improving Memory for Agents" (Brain): https://www.perplexity.ai/hub/blog/self-improving-memory-for-agentsDave Song, "Control over Context" — user-led memory management concepts: https://medium.com/ui-for-ai/control-over-context-44d975e92efcDan's upcoming novel, The Restoration (D.S. Duffy): https://dsduffy.com/

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.

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. LINKSSecret AI Lab Newshttps://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 Researchhttps://arxiv.org/abs/2606.07489Thinking Machines Demo Videohttps://youtu.be/A12AVongNN4?si=ODvSCf9IKTzwBiiU

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.LINKSMicrosoft Copilot 365 Redesignhttps://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 featureshttps://jeffgothelf.com/blog/what-done-means-when-youre-shipping-ai-features/Amazon's new Proteus warehouse robothttps://www.engadget.com/2187338/amazons-new-proteus-warehouse-robot-is-fully-autonomous/Designing how designers master AIhttps://uxdesign.cc/designing-how-designers-master-ai-642d8751d945New Miro Features at Canvas26https://www.youtube.com/live/qM-KxCr4I5I?si=HGtSokg95B9kO5k9

Updates to Figma and Google Stitchhttps://www.figma.com/blog/figma-make-now-on-your-local-codehttps://blog.google/innovation-and-ai/models-and-research/google-labs/stitch-updates/The Design System Advantage is Memoryhttps://learn.thedesignsystem.guide/p/the-design-system-advantage-is-memoryFraude Designhttps://fraude.design/Nik's Interview with CEO of Quilter, Sergiy Nesterenkohttps://www.linkedin.com/in/sergiynesterenko/https://www.quilter.ai/

This week we talk about Figma's new design agent integrated right on the canvas, the 2026 State of AI in Design Report, and Bain's experiment with synthetic customers. Then Dan interview Llewyn Paine about the future of UXR and design and gives a preview of the Rosenfeld Designing with AI Conference 2026 https://rosenfeldmedia.com/designing-with-ai/Show Notes:The Figma Design Agent is Here | Figma BlogState of AI in DesignSynthetic Customers Earn Their Stripes | Bain & Companyhttps://www.linkedin.com/in/llewyn/

When you collaborate with AI on a piece of work, whose thinking is it, really? That question runs underneath what a lot of designers and creatives are arguing about right now, and this week on AI and Design, Nik and Dan dig in.We start with Giorgio Schirò's "The thinking was never just mine," which uses Andy Clark and David Chalmers' "extended mind" theory to argue that creativity has always been distributed: our taste comes from books, films, teachers, and a thousand inputs we don't normally count. AI doesn't invent this loop; it just makes it faster and leaves receipts. Then we turn to Revanth Krishna's "Don't Simply Bolt On AI, Rethink From the Ground Up," using Anthropic's new Claude for Small Business as a worked example of what AI-native enterprise software might actually look like — and what trust and brand mean when the AI inside your tool isn't built by the company whose name is on the box.Our guest is Thom Rimmer, VP of Product Design at Fin. Thom tells the story of how his company decided, over a single weekend in late 2022, to bet the entire business on AI and rebuild from the ground up. We get into what that did to the org: 95% of PRs now authored by Claude Code, designers shipping production code, the design system's source of truth moving from Figma to markdown files, and what's left of the design job when the artifacts get cheap.LINKSUI for AIhttps://uiforai.designThe Thinking Was Never Just Minehttps://uxdesign.cc/the-thinking-was-never-just-mine-9b73cc04c837Don’t simply bolt on AI. Rethink from the ground up.https://uxdesign.cc/dont-simply-bolt-on-ai-rethink-from-the-ground-up-ae73a9093cd2Introducing Claude for Small Businesshttps://www.anthropic.com/news/claude-for-small-businessOperatorhttps://fin.ai/operator

Wharton researchers fed people AI-generated answers, half of them deliberately wrong. The participants accepted them 73% of the time — and their confidence went up. They're calling it "cognitive surrender." Nik and Dan dig into what separates it from plain old cognitive offloading, and the design moves that might pull people back.Then: Ethan Ding's "Claude Code Is Not Making Your Product Better," and why taste, not coding speed, is the bottleneck for product quality.Finally, Tom Groendal, Senior Product Manager at CACI's DarkBlue Intelligence Group, on what AI actually looks like inside a working product team: melting role boundaries, a "product brain" repo that doubles as institutional memory, and the new role that keeps surfacing in conversation after conversation — the context manager.LINKSThinking - Fast, Slow, and Artificial: How AI is Reshaping Human Reasoning and the Rise of Cognitive Surrenderhttps://papers.ssrn.com/sol3/papers.cfm?abstract_id=6097646Cognitive Surrenderhttps://addyosmani.com/blog/cognitive-surrender/Creative Tools: The Case for Keeping AI Unfinishedhttps://medium.com/ui-for-ai/creative-tools-the-case-for-keeping-ai-unfinished-80c601821b53claude code is not making your product betterhttps://ethanding.substack.com/p/claude-code-is-not-making-your-productObviously Awesome (book)https://amzn.to/433nIkR

Dan and Nik talk about how to design for your next user being an agent, the impact of AI on team structure and dynamics, the challenge of memory and recall in conversation-based AI systems, and the shift towards AI experience design focused on constraints, not prompts. Chapters00:00 Your Next User is an Agent12:23 Rethinking the Shape of Design Teams in AI World17:03 The Impact of AI Efficiency on Team Interactions24:39 The Forgotten Conversation Problem in AI31:14 The End of Prompting: AI Experience Design with ConstraintsLINKSYour product has a new user. It’s not human.https://www.elenaverna.com/p/your-product-has-a-new-user-its-notRethinking the shape of design teams in an AI worldhttps://uxdesign.cc/rethinking-the-shape-of-design-teams-in-an-ai-world-82f986bf9a27The “Bug-Free” Workforce: How AI Efficiency Is Subtly Disrupting The Interactions That Build Strong Teamshttps://www.smashingmagazine.com/2026/04/bug-free-workforce-ai-disrupting-teams/The forgotten conversation problem in AI chathttps://uxdesign.cc/the-forgotten-conversation-problem-in-ai-chat-4d3d0c3ea525The End of Prompting: Why the Future of AI Experience Design Is Constraint-Firsthttps://uxmag.com/articles/the-end-of-prompting-why-the-future-of-ai-experience-design-is-constraint-first