Near Future Podcast

Епизоди

• Ep #8: Domingo Widen (Fin): Why Fin's designers now ship straight to production 16.07.2026 48мин

  Tom and Jonny are joined by Domingo Widen, Staff Product Designer on the Front-End Infrastructure team at Fin (formerly Intercom)Domingo shares how designers at Fin have moved from prototyping in sandboxes to shipping directly to production, and unpacks his team's mission to build the platform and tools that let every team move from concept to production faster with AI.The conversation traces the story of getting designers into developer environments — from a top-down mandate and painful early setup sessions to a smoother, engineer-assisted process — and how that groundwork now lets designers self-serve with Claude. Domingo introduces "Surge Intelligence," an encoded knowledge base that powers design-system skills so AI can enforce front-end conventions without a human policing every decision, and describes the PR-style review process for designers who want to contribute their own skills.The back half explores where design is headed: the enduring value of human judgment and "taste" built through reps, the edge cases only builders learn from experience, and why Domingo believes AI will keep design work capped around 85% for a while. They close with quick-fire questions on tools he wishes existed (a home for aligning on live prototypes, since Figma hand-off has broken down), his favourite product (MyMind), and what he'd do with his free time in an AGI future.Chapters0:00 – Intro & welcoming Domingo Widen0:52 – How the Front-End Infrastructure team works today2:20 – Is Domingo still a "product designer"?3:49 – Splitting time between infra, design system, and product work4:22 – Getting designers into developer environments: the origin story9:45 – Optimizing the setup process with engineering14:20 – From constant support requests to a self-serve steady state11:29 – Claude as a fallback for technical hiccups12:14 – Enforcing design consistency without slowing the company down14:02 – Introducing Surge Intelligence and how design skills read from it15:57 – Serving both designers and engineers with shared knowledge18:13 – Do designers see AI codifying their instincts as a threat?20:09 – The 85% problem: where human judgment still wins23:52 – Codifying skills: the PR-and-review process for Team 2X25:11 – Human judgment vs. automated skill approval26:15 – Predictions for how the designer role evolves industry-wide28:20 – Foundational design knowledge that AI won't replace30:37 – On "taste," reps, and gut instinct32:38 – The superpower (and blind spots) of designing in code34:24 – Is Claude enough, or will tools fragment further?36:20 – The missing tool: aligning on live prototypes instead of Figma39:28 – Zooming out: is this a temporary infra push or years-long work?41:12 – Why this becomes "training the brain" rather than a one-off project42:56 – Optimizing for designers, engineers, and PMs alike43:56 – Quick-fire: coffee, drawing, and life after AGI45:37 – Quick-fire: the product Domingo wishes he'd designed (MyMind)Useful LinksDomingo’s website: https://www.domingowiden.com/Domingo on Linkedin: https://linkedin.com/in/domingowidenMymind: https://mymind.com/Podcast feedback: podcast@nearfuture.worksNear Future workshop (Aug 13th): nearfuture.works/buildFind us at nearfuture.worksClick here to view the episode transcript.
• Ep #7: Going AI-first as a design org with Avi Ashkenazi, Senior Design Director at Deel 10.07.2026 58мин

  Tom and Jonny sit down with Avi Ashkenazi, Senior Product Design Director at Deel, for the podcast's first-ever guest episode. Avi shares the story behind Vidit, an internal screen-recording tool he built (and vibe-codes on weekends) that now has 600 daily users and 10,000+ videos produced — and which he's now made free for anyone at viddit.video.The conversation dives deep into Deel's AI-forward culture: designers losing Figma seats after 30 days of disuse, "super users" burning through massive AI token budgets, twice-weekly AI showcase sessions, and how much of the design workflow has shifted from Figma into tools like Claude Code. Avi also discusses building internal tools like Links (an Obsidian-style knowledge brain) and an AI-powered portfolio screening tool for the ~300 daily design applications Deel receives.The back half covers hiring in the AI era — including why uniqueness and craft still matter more than ever, the tension between AI making collaboration seamless versus more isolating, and Avi's "spicy take" that no one should manage designers without being a staff-level practitioner themselves. They close on how AI-freed time should be spent: hunting for the next big cross-functional bet rather than busywork.Chapters0:00 – Intro & welcoming Avi Ashkenazi0:33 – Building Vidit: Deel's in-house Screen Studio alternative3:49 – 600 daily users and open-sourcing (for free) at viddit.video7:56 – How AI tools have changed ways of working at Deel10:25 – Deel's build culture, one-click dev onboarding, and losing Figma seats14:44 – Where the design industry is heading with AI (Shopify vs. Deel)18:44 – Token budgets, "super users," and adoption curves across the team23:54 – Scaling judgment: building "Links" and "Launchpad" brains35:23 – AI-assisted hiring: screening 300+ design applications a day43:28 – What AI gets wrong when judging portfolios (uniqueness & self-affirmation)50:18 – Where the freed-up time should go & Avi's spiciest take on AI and craft57:04 – Wrap-up & useful linksUseful LinksVidit (Avi's screen recording tool): viddit.videoAvi's personal site: superavi.comDeel careers: deel.com/careersPodcast feedback: podcast@nearfuture.worksNear Future workshop (Aug 13th): nearfuture.works/buildFind us at nearfuture.worksClick here to view the episode transcript.
• Ep#6: Figma Config, Source of Truth, and Craft in AI Adoption 03.07.2026 51мин

  Tom and Jonny share updates from Tom’s Mostly Working meetup in London with Kate Pincot (Multiverse), focused on scaling design impact through tooling and agents, and preview upcoming podcast guests in July.They reflect on how the meetup format has evolved as more people have hands-on AI experience, shifting from first experiments to practical, scaled adoption inside teams, with more focus on token costs and measurable value.They discuss Figma Config releases (Motion, Figma Weave, Sites/Make, and upcoming code components), debating canvas-first vs code-first workflows and the “source of truth” question for enterprise teams.Jonny summarizes a Near Future Works post on AI transformation: set a coherent strategy, secure org-wide buy-in, and maintain craft/quality so AI speed doesn’t produce worse outcomes. They also touch on music ownership, a Claude Code World Cup calendar prompt, Anthropic “Fable” returning and Sonnet 5, Z.ai’s open-weights GLM model, a keyboard-shortcuts tool, and an open online workshop (Aug 13) to build design tools.00:00 Welcome and agenda00:12 Mostly Working recap00:52 Podcast updates and banter03:01 Meetup lessons so far07:13 Figma Config reactions12:39 Source of truth debate22:51 Jagged frontier and craft28:11 Quality Bar Cannot Drop28:47 Barbell Strategy for AI30:18 Craft Beyond Output32:37 Atrophy and Writing Muscle35:47 Craft Across Disciplines36:40 Music Ownership Stories41:22 Claude Calendar World Cup42:57 AI News Frontier Models45:27 Beautiful Shortcuts Tool46:57 Open Workshop Invite49:48 Signup Feedback and WrapLinks:Mostly Working: https://luma.com/mostly-workingNear Future blog post: https://nearfuture.works/updates/a-new-jagged-frontier-why-craft-still-mattersFigma's config keynote: https://config.figma.com/san-francisco/session/829e6ced-3257-4f5c-b675-aa72f4d1f98f/GLM5.2 by z.ai: https://z.ai/https://shrtcts.click/Our next workshop: https://nearfuture.works/buildAs always, feedback welcome at podcast@nearfuture.worksFind us at nearfuture.worksClick here to view the episode transcript.
• Ep#5: Are middle managers actually finished? Plus: personal software, Ideogram & Midjourney goes medical 26.06.2026 50мин

  Tom and Jonny are back for another wide-ranging episode. Jonny starts by recapping his golf trip to Mallorca — where a non-technical friend used Lovable to vibe-code a fully functional scoring app for their annual 16-man Ryder Cup-style tournament, the Stryder Cup. It's a perfect case study in personal software.From there, Tom brings a meaty topic: the "death of the middle manager" narrative gaining steam in the press. Drawing on his five years as Director of Product Design at Monzo, Tom and Jonny debate whether this is a real structural shift or a post-ZIRP overcorrection — and what managers should actually do to stay relevant.In the quick-fire round, Jonny introduces Ideogram, a small but opinionated image model that excels at visual design and can be self-hosted and fine-tuned on your own work. Tom follows up with Midjourney's unexpected pivot into health and wellness medical devices — and what it says about where AI companies might be headed.They close by testing themselves on "In the Weights" — a site that checks if your name appears in AI training data. Jonny is in (top 25% British product designer). Tom is not.Finally, they tease an upcoming half-day AI design workshop open to individuals — coming late July/early August. Email podcast@nearfuture.works with feedback, ideas, or complaints.Chapters0:00 — Welcome & podcast updatesNew email address: podcast@nearfuture.works1:23 — Guests & format chatGuests are coming — but this pod isn't going guest-only2:00 — Jonny's golf trip to Mallorca16-man Ryder Cup-style tournament, Mallorca, 35-degree heat4:06 — The Strider Cup app — vibe coded on LovableHow a non-technical friend built a live scoring app with AI — and why personal software is the perfect use case8:59 — Can AI improve your golf game?Spoiler: Jonny is a lost cause10:49 — Are middle managers finished?Tom introduces the "Middle Managers in the Firing Line" article and his Monzo perspective18:36 — Tom's take: the functions matter, not the titleIs Jack Dorsey right? Tom's nuanced answer on direction, psychological safety, and player-coaches22:02 — Jonny's take: I don't buy itManager-to-report ratios, the pastoral role, swanning around looking busy, and the market doesn't care what you enjoy32:56 — Quick fire: IdeogramA small, opinionated image model built for visual design — and why it points toward personal, self-hostable AI tools38:27 — Quick fire: Midjourney's wild pivotFrom sci-fi image generation to… health and wellness medical devices43:50 — In the Weights — are you in the training data?Tom and Jonny test themselves live. Results are humbling for one of them.47:55 — Upcoming AI design workshopHalf-day, ticketed, late July/early August — build your own AI design tools---## Links:- https://www.linkedin.com/news/story/middle-managers-in-the-firing-line-8966722/- https://ideogram.ai- https://www.midjourney.com/medical- https://intheweights.comFind us at nearfuture.works or email the pod at podcast@nearfuture.works with suggestions and ideas for content or guests.Click here to view the episode transcript.
• Ep4: Who Controls Your AI? Europe's Sovereignty Crisis and the Race to Build Independent Tools 17.06.2026 42мин

  Jonny and Tom dig into the uncomfortable reality of Europe's dependence on US-controlled AI — sparked by Anthropic's Fable 5 being banned outside America days after launch. They explore what the dystopian narrative Europe 2031 predicts for the continent, debate London's surprising rise as an AI talent hub, wrestle with what it means to build a business in the age of AI, and Tom reveals his open-source design tooling project, Kazam.0:00 — Introduction & the content pipelineJonny and Tom kick off the episode and share their very low-tech approach to collecting topics throughout the week — a Slack thread — which immediately surfaced the biggest AI story of the moment.1:27 — Fable 5, banned in minutes: the sovereignty wake-up callAnthropic's most powerful model yet was blocked for all non-US citizens within four days of launch. What does it mean when critical infrastructure can be switched off by a foreign government overnight?4:42 — Europe 2031: a cautionary taleJonny breaks down the 18,000-word narrative podcast europe2031.ai — a near-future story of Europe's failure to build sovereign AI capability, its dependence on open models that eventually disappear, and the grim choice between American and Chinese technology.9:53 — What does this actually mean for you?Tom pushes for practical takeaways. If AI vanished tomorrow it'd probably be fine — but the longer dependency grows, the harder it becomes to function without it. From job market effects to information control, the risks are subtle but compounding.13:21 — Practical steps: diversify your AI dietRather than avoiding AI, Jonny argues for being intentional about where you get it from. Use open-weight models, try Mistral, explore OpenRouter — don't build critical dependency on US big tech whose incentives may not align with yours.15:36 — The acceleration problem and European incentivesTom reflects on how the structural incentives driving US and Chinese AI development will naturally widen the gap with Europe — even without any bad intentions from the US side.17:18 — London rising: DeepMind, Cursor, and the talent storyCursor just announced a 200-person London office. Tom traces how Demis Hassabis's insistence on keeping a London team when Google acquired DeepMind seeded a generation of AI talent — now paying dividends for the whole city.19:14 — Nuance: AI isn't just bad or just goodJonny argues for holding the tension — concentration of power is genuinely worrying, but the potential benefits to humanity (drug discovery, scientific breakthroughs) are also real. The podcast's purpose is navigation, not evangelism.22:51 — Building a business in the AI eraThe guys get into the meta-question: what is the right business model for an AI consultancy? Training vs. capability delivery, day rates vs. outcome-based pricing, what to give away free vs. what to keep — and why neither of them really has the answer yet.35:24 — Tom's open-source project: KazamTom reveals what he's been building — a lightweight open-source design framework for creating portable, lo-fi design micro-tools as single HTML files. No npm, no server, no dependencies. Inspired by a workshop where 60 designers built 60 tools in 3 hours.Linkseurope2031.aiJacob Heftmann grillitype.comOur 1 page HTML tool example: https://dither-shape-p.ooda.run/Find us at nearfuture.works
• Episode #3: Kazam! From 15 minute etch-a-sketch to 70 years of Eames 12.06.2026 53мин

  Tom and Jonny reflect on their live workshop at Product Unleashed in London, explore the history of designers building their own tools, and dig into how AI can be used as a counterbalance to your own working style — not just an amplifier.ChaptersBuilding a Design Tool in 15 Minutes at Product UnleashedTom and Jonny recap the workshop they ran at Product Unleashed, where they built retro design tools (Etch A Sketch, MS Paint) live in front of an audience — twice. They discuss how the challenge evolved, why they pivoted from serious tools to fun ones, and how they got the final result live on the internet using a QR code.Why Designers Building Their Own Tools MattersJonny shares the narrative from the workshop's opening slides — a Gutenberg-moment argument for why designers are now able to build hyper-personalized tools for the first time, referencing Adobe, Figma, and the growing landscape of AI-native design tools.Historical Examples: Eames, Lennon & the Apple CalculatorTom walks through three historical examples of makers building tools to unlock their own creativity: Chris Espinoza's Calculator Construction Set for Steve Jobs, Ken Townsend inventing automatic double tracking for John Lennon, and Charles and Ray Eames creating the Kazam machine to bend plywood into new furniture forms.The Value of Craft in the Age of AIJonny reflects on Karri Saaranen (founder of Linear) and his view that design is the thinking — and there's no shortcut to it. The conversation explores whether something made quickly can ever be truly iconic, and why craft still has real, felt value even as AI capabilities grow.AI as Amplifier or Counterbalance: Knowing Your Working StyleTom introduces the idea that AI shouldn't just universally amplify — for some people (perfectionists who stall), it should act as a counterbalance, nudging them to ship. For others (fast movers who skip deliberation), the opposite. Both share personal examples of how they've tuned their own AI workflows around their personality types.Ooda: Instantly Sharing Internal PrototypesJonny shares an update on Ooda, his tool that lets teams publish prototypes, tools, and documents to a private, secure link in seconds — just by asking Claude. He explains the pivot from "run your dev server in the cloud" to "don't let your team's work disappear," and why the response from a handful of people last week convinced him the problem is real.Building a Calculator with a 5-Year-OldTom shares a heartwarming weekend story of building a calculator with his five-year-old son Waltie — complete with a car button, a horse button, and a Lego-themed interface — and reflects on what it means to grow up in an era where building software is as natural as playing. Jonny draws parallels to how touchscreens changed children's expectations of interaction.(00:00) - Episode #3: (00:04) - Building a Design Tool in 15 Minutes at Product Unleashed (07:45) - Why Designers Building Their Own Tools Matters (12:13) - Historical Examples: Eames, Lennon & the Apple Calculator (19:57) - The Value of Craft in the Age of AI (22:45) - AI as Amplifier or Counterbalance: Knowing Your Working Style (34:32) - Ooda: Instantly Sharing Internal Prototypes (43:59) - Building a Calculator with a 5-Year-Old Find us at nearfuture.worksClick here to view the episode transcript.
• Episode #2: AI, Figma's Future, and Why Design Teams Need to Find Their Own Path 12.06.2026 42мин

  Tom and Jonny dig into the outcomes of Tom's Mostly Working event featuring James Storer from Monzo, unpacking how leading design teams are using AI not to ship faster, but to learn faster — and why the language of "design vs. product" is getting in the way. They get into the state of Figma: is it losing its grip on the design workflow, or is it actually thriving? And they draw an unexpected parallel to the smartphone camera era to ask whether AI will democratise design the same way. Plus: upcoming events, what they're each building, and some honest holiday parenting failure.0:04 — Mostly Working: AI in Design at Monzo — Tom recaps the event with James Storer, prototyping at Monzo, and why the team focuses on learning speed over shipping speed6:11 — Three Use Cases for AI in Design Workflows — Jonny breaks down the emerging buckets: shipping production code, faster prototyping, and building internal tools13:12 — Is Figma Losing Its Grip? — Jonny's spicy take on Figma overreaching, seat cancellation stats from a 90-person design org, and the Adobe comparison18:17 — Figma's Growth vs. The Designer Exodus — Two things can be true: enterprise growth numbers and a slow professional exodus21:29 — The Smartphone Camera Analogy — Did smartphones kill professional photography? And will AI do the same to design?25:52 — Upcoming Events: Berlin, Shoreditch & Brighton — Jonny's "Tools That Shape Us" talk at Hatch Berlin (Sep 18), the live build session at Product Unleashed Shoreditch, and the Brighton workshop35:37 — What We're Building — Jonny's prototype hosting tool, a Notion CRM, and Tom's AI-powered family holiday journal ideaFind us at nearfuture.worksClick here to view the episode transcript.
• Pilot: Tom and Jonny find their feet (and microphones) 12.06.2026 51мин

  Near Future Podcast – Pilot EpisodeWelcome to the Near Future Podcast, where Tom and Jonny explore what they're building, learning, and experimenting with as AI reshapes how we work.In this episode:Agentic Murder MysteryJonny walks through his experiment building a six-agent murder mystery game using NanoClaw. He created a cast of AI suspects — each with their own secrets, personalities, and email inboxes — and ran a live session with a group of exited startup founders. The conversation covers what makes agents distinct from standard LLMs (triggers, tools, memory, collaboration), and the surprisingly playful emergent behaviour that unfolded when participants tried to interrogate and social-engineer the AI suspects.The Near Future Logo InstrumentTom shares his experiment turning the Near Future logo into an interactive, playable design tool — built in Claude Code — that generates ambient generative music as the logo animates. The conversation explores what it means to treat a brand asset as a toy, and how ephemeral software experiments fuel deeper craft practice.Craft, Design, and What LastsJonny reflects on receiving his long-awaited Poem Clock — a piece of hardware by Matt Webb that displays AI-generated rhyming couplets telling the time — as a lens for thinking about what makes design feel timeless. The duo discuss Dieter Rams' principles, the difference between craft as polish vs. craft as practice, and what that means for designers navigating the AI era.Hiring Designers in the Age of AITom shares observations from a recent head of design hiring process — how AI is adding noise on both sides, what strong portfolios look like right now, and the balance between deep foundations and pushing the frontier.Design Engineering & the Future of the Design TeamA candid discussion on whether every designer needs to become a design engineer, the role of different archetypes within a team, and how to close the gap between Figma and code without putting everyone in an IDE.Tools We're Excited AboutTom: Flora AI (visual asset generation with reference images), Notion's new agent capabilitiesJonny: UK-built sovereign design tools — Dawn Labs, Superhands, and Dessn(00:00) - Pilot episode (00:04) - Introduction (01:07) - Agentic Murder Mystery (15:17) - The Near Future Logo Instrument (22:27) - Craft, Design & What Lasts (29:03) - Hiring Designers in the Age of AI (33:30) - Design Engineering & the Future of Design Teams (45:56) - Tools We're Excited About Find us at nearfuture.works