The AI podcast for product teams

Atlassian spent three years connecting 150 billion organizational objects before the results appeared: 44% more accurate AI answers, 48% fewer tokens, a coding agent that reviewed 2 billion lines of code in two minutes. That’s the proof enterprises are pointing to when they argue that context graphs are the unlock. What the benchmark obscures is the order of operations — the graph had to exist bef...

Atlassian connected its AI agents to a richer layer of company knowledge (documents, projects, goals, people) and measured a 44% improvement in answer accuracy using 48% fewer resources. Same models. Different information. Brian Armstrong restructured Coinbase the same week: 14% headcount cut, five management layers maximum. When AI can surface what previously required institutional memory and sen...

The Stanford AI Index ’s headline is 88% — organizations using AI in some capacity. The Financial Times charted where it actually lands in the workforce: 62% of top-decile earners use it daily, versus 13% at the bottom. Board decks this quarter will cite Stanford. The FT chart is what they’re not showing. The economics that enabled this gap are under pressure. The three-year subsidized era is endi...

Let’s stop pretending. Most AI strategies are just a collection of pilots that nobody had the courage to kill. The data this period is brutal: 95% of genAI pilots stall. Only 11% reach production in financial services. Microsoft — the biggest company in the world, with the best distribution on the planet — just reorganized Copilot because nobody internally could agree on what it was supposed to be...

Every influencer is drooling over Claude Code skills files. Every product team is chasing the next model release. But for two years, the data has been screaming the same thing: capability isn’t the bottleneck. Context is. This edition unpacks what that actually means — why structured business knowledge is the highest-leverage investment a product team can make, what the “context wars” look like fr...

AI products are shipping faster than ever. But shipping isn’t impact. The teams pulling ahead aren’t the ones with the best models — they’re the ones who can prove their product moves the business. This edition is about that gap. How to measure what matters, where the biggest barriers to impact are hiding, and what the latest research says about getting AI products to actually drive growth. Becaus...

AI was supposed to help humans think better, decide better, and operate with more agency. Instead, many of us feel slower, less confident, and strangely replaceable. In this episode of Design of AI , we interviewed Ovetta Sampson about what quietly went wrong. Not in theory—in practice. We examine how frictionless tools displaced intention, how “freedom” became confused with unlimited capability,...

In Episode 48 of the Design of AI podcast , we unpack why the most common AI promises are collapsing under real market pressure. AI was meant to unlock strategic work, expand opportunity, and elevate creativity. Instead, UX and design roles are disappearing, agencies are cutting creative staff while buying automation, and freelance work is being devalued as execution becomes cheap. This episode is...

Our latest guest is Maya Ackerman — AI‑creativity researcher, professor, and author of Creative Machines: AI, Art & Us (Wiley) , as well as founder of WaveAI and LyricStudio ( View recent colab with NVidia ). Maya’s perspective is not just insightful — it’s a necessary reality check for anyone building AI today. She challenges the comforting narrative that AI is a neutral tool or a natural evoluti...

Our latest episode features Jessica Randazza Pade , Head of Brand Activation & Commercialization at Neurable. Named to Campaign US’s 40 Over 40 and ELLE Magazine’s 40 Under 40, Jessica is an award-winning global digital marketer, business leader, and storyteller. She explains why AI is not a value proposition, how to turn vague use cases into measurable outcomes, and why making technology invisibl...

Our latest episode explores the moment AI stops being a tool and starts becoming an organizational model. Agentic systems are already redefining how work, design, and decision‑making happen, forcing leaders to abandon deterministic logic for probabilistic, adaptive systems. “Agentic systems force a mindshift—from scripts and taxonomies to semantics, intent, and action.” 🎧 Listen on Spotify 🍎 Lis...

In our latest episode, Michelle Lee (IDEO Play Lab) makes the case that play unlocks the next billion-dollar AI market . She reminds us that kids don’t stop at answers—they ask what if and turn shoes into cars or planes. That divergent mindset is exactly what product teams have lost. “Play is one of the best ways to challenge the norms, to think wide, imagine new possibilities.” Michelle shares: *...

Our latest episode features Nicholas Holland (SVP of Product & AI at HubSpot) and explains how AI is actually changing go-to-market teams: * AI cuts rep research time and turns calls into structured insight * “AI Engine Optimization” (AEO) is becoming the new SEO This conversation isn’t speculative—it’s a blueprint. Listen to Episode 42 on Apple Podcasts 🚨 Upcoming Workshop: Sept 18 — AI Product...

🎙️ Listen on Spotify | Apple Podcasts | YouTube I recently spoke with Maor Shlomo , founder of Base44—the platform that lets anyone build apps, tools, and games just by describing them to an AI. In six months, he built Base44 solo and sold it to Wix for $80M . It’s the clearest signal yet: the rules of building have changed, and most teams aren’t ready. We dug into: * Why vibe coding crushes the m...

🎙 Episode 40: Atlassian’s Secrets to Successful Agents In this episode, Jamil Valliani (VP & Head of Product AI at Atlassian) shares how they embed AI across Jira, Confluence, and Trello through intelligent agents that blend into workflows—far from mere “+AI” buttons. He emphasizes starting small with tangible prototypes to build momentum and leadership alignment, showing that AI gains stick when...

After a frustrating week of trying to wrangle AI outputs, we decided to explore the risks of overreliance on AI. It’s good for us to question our tools. It enhances our processes and challenges us to find the right tools. Listen on Spotify | Listen on Apple Podcasts | Watch on YouTube In this episode, we say the quiet parts out loud. Not only are LLMs often feeding us incorrect information, but ov...

When reports like Adecco’s Global Workforce of the Future survey find that the average saving for workers using AI is 1 hour a day, we should question this. * What did those workers do with their time savings? * Should that time savings benefit the employer or the employee? * Can we trust such a hard-to-measure stat? Our latest episode tackles this and other disruptions happening to the creative a...

As much as image generation is fun, the power of GenAI is prediction. The technology operates very similarly to people you might meet: * Some people have studied and are experts in a single topic for a decade. They’re experts in that topic and can easily infer, correct, and complete tasks. They’re unreliable for everything else. * Some people are generally knowledgeable and have a good understandi...

“The future is already here, it's just not evenly distributed” Science fiction is inspiring, frightening, and often the best lens into the future. Many ideas about the future are b******t —just like this quote being misattributed to the ever-amazing William Gibson — but even the wildest idea shares truths worth discussing. This week’s newsletter is an exercise in imagining how AI will transform th...

There are many reasons to debate the ethics and implications of AI. But while we do that, hundreds of the world’s biggest brands are rushing to implement the technology into creative and coding workflows. At a time when shareholders are being unforgiving and policy making is volatile, business leaders are looking to AI to gain any advantage possible. Jan Emmanuele is one of the experts that these...

Whether we admit it, like it, or believe it, we’re in a relationship with AI. That’s the first of many powerful reflections made by Sara Vienna , Metalab’s Chief Design Officer, in her must-read manifesto about how design and product must evolve. Unlike the design leaders who speculate about AI's impact, Sara and her world-class team are years ahead. They are designing disruptive AI product experi...

There’s little debate that AI will change the world. What we’re not so sure about is if AI’s expected disruptions to how we work will be outweighed by the benefits of accessing a super-intelligence. David Boyle thinks of LLMs as an electric bicycle for the mind, one that enables us to go farther than we ever imagined with much less effort. His opinion comes from being one of the first market resea...

Up until recently Miro was the innovator’s defacto collaboration platform. In recent years a long list of apps added similar functionality to eat away at the online whiteboard segment. Our latest episode with Ioana Teleanu , Miro’s former Lead Product Designer for AI explores the challenges and opportunities of leveraging AI to enhance an existing product. Listen on Spotify | Listen on Apple Key t...

Healthcare is constantly highlighted as the industry that will benefit the most from AI. The prospective opportunities are endless: Improve access to services, improve quality of service, patient outcomes, and medical research. An analysis predicts that the healthcare could save up to $360B a year by implementing AI. That’s we invited an expert to discuss what other industries can learn from healt...

In our latest episode, Lisa Weaver-Lambert dispels the belief that is incapable of delivering impact in her book " The AI Value Playbook ." She also lays out principles for succeeding in your implementation of AI: 1. Your tech stack determines winners : Orgs that already were built to process and leverage data as part of core decision making are at a huge advantage. Especially those that are focus...