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At Fin (formerly Intercom), agents write around 90% of the code and every one of the 35 designers ships to production. John Moriarty shows us how they decide what to prototype and what to build for real.🎓 Turn this episode into something you make → https://daicampus.comThis is the first episode of the d.AI podcast. John, Head of Product Design at Fin, takes us behind the curtain on one decision his team makes constantly: does an idea get prototyped in a sandbox, or built straight into production? We cover the tools they use by name, where real data is and isn’t allowed, and the judgement behind the call.Plus jigs. In woodworking, a jig is a guide you build to help you make the real thing. John’s designers do the same with AI: instead of guessing the answer to a design question, they build a little throwaway tool to find it.━━━━━━━━━━━━━━━━━━━━WHAT IS d.AI?d.AI is the new programme from d.MBA for designers who’ve decided to engage with AI and are excited for the opportunity it unlocks.Every month, a designer from a team doing great work with AI shows us how they really do one thing. We turn it into a brief, and you build it in your own context, with your own work, in a private community with other designers. The guest is in there for their month too.John’s brief drops Monday 26 October 2026, and he’s in the community all month to see what people make.The first 77 members get the founding price, locked in for as long as they’re a member.👉 Join d.AI: https://daicampus.com00:17 Meet John Moriarty and Fin02:03 Blurring roles and how Fin designs today05:57 How agents broke the old handoff process08:54 How design craft has changed10:57 Building to learn what to build12:42 Surge Intelligence: the rails agents run on14:57 Sandbox or production? Choosing the right tool19:47 About d.AI20:24 Operator and Charlotte’s HTML prototype27:30 Daria’s messenger design playground30:42 Who can ship to production at Fin31:39 The culture shift: no more UI bug reports33:21 Shrek and automated PR checks35:33 A designer’s production workflow: Eric’s Help Center38:45 UI is going away41:21 Why designers shouldn’t be precious43:18 First steps for smaller teams44:44 Outro

🎟️ WHO GETS TO DECIDE? Brighton, 23 September 2026Want to experience Melin’s workshop for yourself? Join us at Sea Lanes in Brighton for an evening exploring where designers fit in leadership as AI changes our work.You’ll work through real AI decisions, practise navigating difficult stakeholder conversations, and leave with a practical decision checklist and your own AI manifesto.Tickets are just £30 including food and a drink, £25 each if you bring a friend, and even less if you come as a team.👉 Get your ticket: https://d.mba/sessions-brightonBefore you add AI, ask these 5 questions.Designers are increasingly being asked to put AI into products, processes and workflows. But how do you know when it’s actually the right decision?In this episode of In Practice, I’m joined by Melin Edomwonyi, founder and UX Director at Seedable Studio, to explore five areas we should be questioning before reaching for AI: value, trust, cost, safety and ethics.We talk about starting with the problem rather than the tool, the risks AI can introduce to users and brands, and how designers can bring balance and critical thinking into conversations about AI without getting caught up in either the hype or the backlash.Melin also shares how designers can use the skills we already have to ask better questions, bring evidence into the room and have more influence over the decisions being made around AI.FIND MELINSeedable Studio: https://seedable.studioLinkedIn:   / melinedo  🎓 APPLICATIONS FOR d.MBA ARE OPENOur next five-month d.MBA cohort starts on 5 October 2026. If you want to build your confidence around business, strategy and having more influence in the decisions that shape your work, applications are open now.Apply: https://d.mba/apply00:00 The AI mess that took years to clean up01:30 Conversation starts: meet Melin02:06 Pressured to use AI in 2023 — and the fallout04:54 Inside "Leading With Clarity in the AI Era"07:09 Love and hate: how you really feel about AI07:51 Personal values vs organisational values10:27 The five hard questions11:09 Value: don't start with the tool14:24 Trust & UX: hallucinations and who's accountable18:03 Cost: compute, maintenance and the tech giant risk22:12 Safety & ethics: bias, data leakage, energy25:03 ChatGPT vs Gemini vs Claude27:42 Pushing back without being "the AI skeptic"34:45 Writing your AI leadership manifesto38:00 Seedable Studio and where to find Melin

Would anyone miss your product if it vanished tomorrow? It's one of the best strategic questions you can ask, and it's just one part of the Worth-It Test.Juju (Juliana Muñoz Uribe) is a strategist and writer whose Substack, Unfluence Lab, tracks how behaviour and meaning are shifting in tech. Her argument: as products mature, extraction creeps into the business model, meaning breaks, and users quietly stop caring. Her answer is a scorecard built on four pillars of meaning from social psychology, coherence, connection, contribution, and something bigger, that lets you audit any product, filter ideas, and work out whether what you're building is genuinely worth it. In this episode she opens it up on screen, scores real products with it, and then does something braver: she scores this podcast, live, with me pushing back on the grades.We get into:The four pillars: does it hold together, does it create a space people return to unprompted, is it genuinely useful, does it serve something beyond the transactionThe vanish test: would anyone miss it if it disappeared tomorrowLive audits: Too Good To Go (where trust is cracking) and Cosmos (the intention economy done right)The self-audit: Juju scores In Practice, and I argue two of her grades downUsing the scorecard to filter ideas now that building is no longer the bottleneckWhat to do when the scorecard tells you your work isn't worth it, and why frustration is the most useful emotion you haveThe shift from the attention economy to the intention economyTRY IT YOURSELFThe scorecard comes from Juju's essay The Worth-It Test, read it, run it on your own product, and she'd genuinely love to hear how it went https://unfluencelab.substack.com/p/t...JUJU'S LINKSUnfluence Lab, Juju's Substack on psycho-technology shifts: https://unfluencelab.substack.comJuju on LinkedIn:   / jujumunoz  d.MBABusiness education for designers: https://d.mba00:00 "When extraction breaks meaning"01:01 The conversation with Juju01:30 Deleting Facebook: where the question started02:57 The product playbook that erodes meaning05:39 A model for "is it worth it?"06:39 The four pillars of meaning08:45 Turning the pillars into a scorecard14:00 How the scoring works (0–3)16:33 Auditing the DMBA podcast live24:03 Real-world audits30:06 The crisis of meaning34:33 When your product isn't worth it39:51 Final advice & where to find Juju

The real skill with AI tools isn't prompting. It's knowing when to stop prompting, when to step in, do it by hand, and hand the result back to the machine.Darshan Gajara is a design leader who actually ships. His latest is Beanpresso, a coffee journaling app built in Lovable, launched, and refined in the wild. In this episode he shares his screen and walks through the whole build, the real project, the prompt history, the dead ends, and the moments a designer's eye had to take over, from first idea to live product, plus how he's approaching monetisation and marketing as a solo maker.We get into:Starting in Lovable and only bringing in Figma once the idea took shape, "give it a designer's touch"Why you don't need to design whole flows anymore: get one page right and Lovable infers your design systemThe handoff problem: screenshots plus precise description, component by component, down to corner radiiThe SVG trick: when the animation kept breaking, he built the UI by hand, named every layer, exported an SVG and told Lovable to animate exactly that"I'm still a designer": choosing to do the branding by hand, and why some things are better that wayMonetising a side project: premium taste insights, and a roaster marketplace his own users suggestedMarketing by making: free tools, a Berlin coffee guide the roasters reshared, and an AI writing setup trained on his own styleGET THE APPBeanpresso, coffee journaling for people who take their beans seriously: https://beanpresso.comMY REFLECTIONSI share my personal takeaways from each episode in the d.MBA newsletter, what I actually learned and what I'm stealing for my own builds: https://d.mba/newsletterLINKSDarshan on LinkedIn:   / darshangajara  Product Disrupt, Darshan's design learning resource: https://productdisrupt.comDarshan's site: https://darshan.designd.MBA, business education for designers: https://d.mba00:00 – "They just keep banging their heads, burning through tokens"00:36 – Who Darshan is, and what this episode is really about01:36 – Interview starts: scratching his own itch.05:51 – App demo: scanning a bag, community feed, taste stats10:51 – Validating the idea (and why the existing coffee apps weren't good enough)14:12 – Version one: built straight in Lovable, no design15:54 – The prompting workflow: voice notes → Notion AI → Claude → Lovable18:21 – Why he dropped the native app and went web19:33 – Mood boarding with Variant, and finding the visual language23:54 – Naming it, and why AI is terrible at logos27:15 – What AI is good at, and what he had to do by hand30:45 – Taking the design back into Lovable, component by component33:27 – Building new flows once Lovable knows your design system36:36 – The SVG animation trick38:27 – Don't expect one tool to do everything42:06 – Monetisation: premium stats and a roaster marketplace45:45 – Distribution: small free tools, Instagram, and SEO49:15 – Where to find Beanpresso and Darshan

Everybody thinks they know what matters to them. Then you ask them, and they can't tell you.Daniel Burka has stood at more career crossroads than most: Digg, Glitch (which became Slack), a company sold to Google, five years at Google Ventures, then eight years in global public health. Every time the stakes got high, he reached for the same thing: Job Rank, a weighted-scoring spreadsheet for choosing your next role. In this episode he opens the real template on screen and walks through exactly how it works, for designers, product people, and anyone in tech staring at a hard career decision.We get into:Why the spreadsheet isn't really the tool: 90% of the value is being forced to write down what you value and rank itIf everything's important, nothing's important: how the weighting forces the trade-offs a pros and cons list politely avoidsThe moment the sheet told Daniel something his ego didn't want to hear about a big role at GoogleHow the tool travels with you: same values, different weights, as your life changesWhere AI fits into a decision that should stay humanGET THE TEMPLATEFree to copy, in Daniel's full write-up: https://www.hardproblems.com/articles...LINKSHard Problems, helping designers and people in tech find work that matters: https://www.hardproblems.comd.MBA, business education for designers: https://d.mba00:15 – What this episode is about02:10 – Daniel's career crossroads04:15 – Job Rank: it's just a spreadsheet04:40 – Writing down what matters to you06:25 – Weighting each value (and why not everything's a 5)09:50 – Scoring the jobs you're considering11:20 – Scoring jobs that don't exist yet13:10 – How to make your own job16:50 – The Google role his ego wanted19:10 – Why 90% of the value is just writing it down21:10 – Hard Problems: work that actually matters25:05 – Jobs that matte

Avi Ashkenazi, Senior Director of Product Design at Deel and former Shopify and iwoca design leader, introduces the Shredder, his framework for decoding company strategy. He explores why screenshots miss the real story, how org charts, hiring, investors, partners, and product history reveal future moves, and how AI agents sharpen competitive research. He also shows how teams can apply the method internally.

Discover how GoPro transformed from a surfing passion project to a market leader in action cameras. The hosts unveil the impact of user-centered design, highlighting the founder's unique journey and innovative breakthroughs. They discuss the power of user-generated content as a marketing force and the challenges faced after rapid expansion, including the Karma drone fiasco. Insights on the company's financial ups and downs are shared, alongside reflections on lesson learned about innovation and market limitations. Future growth prospects, including new software tools, are also explored.

When you want to learn about the intersection of business and design, you can turn to d.MBA Business Design Teardowns.But for everything else? It has to be Wikipedia. In this podcast episode, we're tearing down one of the most significant sources of knowledge on the internet and uncovering how it isn't just a website—it's a worldwide wonder.We'll delve into why Wikipedia is a fascinating case study for designers, discovering the clever design and organizational strategies that make it user-friendly, universally engaging, and completely ubiquitous.Join Alen, Franz, and Tom as they explore…The critical shift from scholar-led to community-led content creation that revolutionized Wikipedia's output and productivityWhy a commitment to form over function has led to a design language which prioritises readability, accessibility, and performanceThe thousands of stakeholders - and novel-length conversations! - that Wikipedia's design team has to manage when shipping updatesHow Wikipedia manages to stay informative and reliable without resorting to paid advertisingSo tune in to hear how design and strategy converge to keep this information titan thriving. You'll never look at Wikipedia the same way again…

Unraveling Patagonia's innovative blend of sustainability and business success, from the founder's environmental self-sabotage to the brand's activist ethos. Discover the philosophy woven into its culture, the impact of storytelling in marketing, and the challenges faced while staying true to its purpose. Dive into Patagonia's unique marketing tactics, ethical growth strategies, and the debate on ethical investing in the company.

Prepare to immerse yourself in a tale of innovation and color that revolutionized design and branding. Our latest Business Design Teardown paints the vibrant journey of Pantone, the brand that turned the art of color consistency into a global industry.Join us as we explore the canvas of challenges and innovations Pantone navigated to become the global authority on color. We'll brush up on how Pantone didn't just stop at solving a problem; they became trendsetters, influencing design and fashion and setting tones that reflect cultural moods and movements.It's a story of strategic brilliance as much as it is about the beauty of color. So tune in as Alen, Franz, and Tom uncover...How faded camera film boxes brought to light the critical need for color consistencyWhy Pantone's strategic decision to sell early in the value chain to ink manufacturers set the stage for a color revolution.Pantone's journey from standardization to 'Colour of The Year' trend-settingThe reasons Pantone's Colour Matching System has dominated for decades, and the threats to its future...So, enjoy the spectrum of strategic stories about Pantone, the brand that painted its way into our lives and lexicons. From standardizing hues to dictating trends, this episode promises to add a splash of color to your day!