Podcasts about UX

On this week's episode, Wade and Gavin talk to Peter and Jeff with Brandartica! Brandartica builds brands that want more than just “pretty”. They craft strategy, storytelling, and design that drive results in CPG, food, beverage, and lifestyle. Founder Peter Jude Ricciardi spent 15 years at Disney mastering emotional storytelling, joined by partner Jeff Litcofsky, who brings 25+ years of technical, marketing, and UX expertise.We look forward to connecting with Peter and Jeff and talk all things marketing, branding, how they craft strategy and the most impactful ways they can work with CPG brands!http://brandartica.agency

In this episode, Therese interviews Jay Dutta—Global Head of UX at Deutsche Bank about how designing at scale isn't just about reaching millions, but about preserving depth: of empathy, culture, and context. With a career spanning Adobe, Flipkart, and MakeMyTrip, Jay reflects on why he's drawn to complex, broken systems and how those environments offer the richest opportunities for impact. He discusses the importance of designing for the individual within vast systems, and how storytelling, risk-taking, and honoring human experiences can lead to more meaningful and scalable design solutions.About the speaker: JayDutta.com | LinkedInDesignUp Conference (Bangalore, India - Nov 3-5, 2025 ): https://designup.io/Related NN/G Course: Global UX: Designing and Leading Across Cultures (full-day & half-day courses)Related Free NN/G Articles:‘Our Users Are Everyone': Designing Mass-Market Products for Large User Audiences (free article)Modify Your Design for Global Audiences: Crosscultural UX Design (free article)Imagery Helps International Shoppers Navigate Ecommerce Sites (free article)

Chip Huyen is a core developer on Nvidia's Nemo platform, a former AI researcher at Netflix, and taught machine learning at Stanford. She's a two-time founder and the author of two widely read books on AI, including AI Engineering, which has been the most-read book on the O'Reilly platform since its launch. Unlike many AI commentators, Chip has built multiple successful AI products and platforms and works directly with enterprises on their AI strategies, giving her unique visibility into what's actually happening inside companies building AI products.We discuss:1. What people think makes AI apps better vs. what actually makes AI apps better2. What pre-training vs. post-training is, and why fine-tuning should be your last resort3. How RLHF (reinforcement learning from human feedback) actually works4. Why data quality matters more than which vector database you choose5. Why high performers are seeing the most gains from AI coding tools6. Why most AI problems are actually UX issues—Brought to you by:Dscout—The UX platform to capture insights at every stage: from ideation to production: https://www.dscout.com/Justworks—The all-in-one HR solution for managing your small business with confidence: https://ad.doubleclick.net/ddm/trackclk/N9515.5688857LENNYSPODCAST/B33689522.423713855;dc_trk_aid=616485030;dc_trk_cid=237010502;dc_lat=;dc_rdid=;tag_for_child_directed_treatment=;tfua=;gdpr=$Persona—A global leader in digital identity verification: https://withpersona.com/lenny—Where to find Chip Huyen:• X: https://x.com/chipro• LinkedIn: https://www.linkedin.com/in/chiphuyen/• Website: https://huyenchip.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Chip Huyen(04:28) Chip's viral LinkedIn post(07:05) Understanding AI training: pre-training vs. post-training(08:50) Language modeling explained(13:55) The importance of post-training(15:20) Reinforcement learning and human feedback(22:23) The importance of evals in AI development(31:55) Retrieval augmented generation (RAG) explained(38:50) Challenges in AI tool adoption(43:19) Challenges in measuring productivity(45:20) The three-bucket test(49:10) The future of engineering roles(55:31) ML Engineers vs. AI engineers(57:12) Looking forward: the impact of AI(01:05:48) Model capabilities vs. perceived performance(01:08:23) Lightning round and final thoughts—Referenced:• Chip's LinkedIn post on what actually improves AI apps: https://www.linkedin.com/posts/chiphuyen_aiapplications-aiengineering-activity-7358971409227792384-y0mf/• Prediction and Entropy of Printed English: https://www.princeton.edu/~wbialek/rome/refs/shannon_51.pdf• Why experts writing AI evals is creating the fastest-growing companies in history | Brendan Foody (CEO of Mercor): https://www.lennysnewsletter.com/p/experts-writing-ai-evals-brendan-foody•Inside the expert network training every frontier AI model | Garrett Lord (Handshake CEO): https://www.lennysnewsletter.com/p/inside-handshake-garrett-lord• First interview with Scale AI's CEO: $14B Meta deal, what's working in enterprise AI, and what frontier labs are building next | Jason Droege: https://www.lennysnewsletter.com/p/first-interview-with-scale-ais-ceo-jason-droege• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Why AI evals are the hottest new skill for product builders | Hamel Husain & Shreya Shankar (creators of the #1 eval course): https://www.lennysnewsletter.com/p/why-ai-evals-are-the-hottest-new-skill• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Stanford webinar—How AI Is Changing Coding and Education, Andrew Ng & Mehran Sahami: https://www.youtube.com/watch?v=J91_npj0Nfw• He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more: https://www.lennysnewsletter.com/p/he-saved-openai-bret-taylor• Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann• Lenny's vibe-coded app made on Lovable: https://gdoc-images-grab.lovable.app/• Story of Yanxi Palace: https://www.imdb.com/title/tt8865016/• Steve Jobs's quote: https://www.goodreads.com/quotes/427317-remembering-that-i-ll-be-dead-soon-is-the-most-important—Recommended books:• The Complete Sherlock Holmes: https://www.amazon.com/Complete-Sherlock-Holmes-Volumes/dp/0553328255• AI Engineering: Building Applications with Foundation Models: https://www.amazon.com/AI-Engineering-Building-Applications-Foundation/dp/1098166302• The Selfish Gene: https://www.amazon.com/Selfish-Gene-Anniversary-Introduction/dp/0199291152• From Third World to First: The Singapore Story: 1965-2000: https://www.amazon.com/Third-World-First-Singapore-1965-2000/dp/0060197765—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

(Kinda) Hot take

Dominic Gannaway joins us to talk about Ripple.js, a new TypeScript-first UI framework built with its own templating language and a focus on clarity and reactivity. We explore how Ripple.js handles fine-grained updates through its track and block system, why it avoids global state, and how context plays a key role. Dominic also walks us through the developer experience, from the language server and VS Code integration to syntax highlighting and the Prettier plugin, plus how the framework handles error boundaries, server-side rendering, future plans, and more. Links Twitter: https://x.com/trueadm Github: https://github.com/trueadm LinkedIn: https://www.linkedin.com/in/dominic-gannaway-414b7750 Resources RippleJS GitHub: https://ripplejs.github.io RippleJS website: https://www.ripplejs.com/ We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey (https://t.co/oKVAEXipxu)! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com (mailto:elizabeth.becz@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Check out our newsletter (https://blog.logrocket.com/the-replay-newsletter/)! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Chapters 00:00 – Intro & What is RippleJS 01:00 – The Origins and Naming of Ripple 02:00 – A New UI Framework Built on TypeScript 03:30 – Creating a Custom Language and Templating System 05:00 – Building Ripple's Tooling and Language Server 06:00 – The Team, Open Source Growth, and Early Feedback 07:00 – From UI Framework to Meta Framework 09:00 – Integrating AI into the Dev Server 10:30 – Handling Controversy and Changing the Status Quo 11:30 – How Ripple Was Built in a Week 13:00 – Redesigning the Reactivity System 16:00 – Why Ripple Doesn't Use Global State 19:00 – Lessons Learned from Other Frameworks 21:00 – Naming Conventions and API Design Decisions 22:30 – Error Boundaries and Async Patterns in Ripple 24:00 – Accessibility and ByteDance Native App Integration 25:00 – The Team's Workflow and Contributor Culture 27:00 – Building TypeScript-First from Scratch 29:00 – Language Server, Source Maps, and VS Code Integration 31:00 – Building in Public and Open Source Collaboration 32:30 – The Future of Frontend Frameworks 34:00 – How Ripple's Ideas Might Influence Others 35:00 – AI, Security, and the Road Ahead 36:00 – Closing Thoughts & How to Get Involved

Welcome to The Chopping Block — where crypto insiders Haseeb Qureshi, Tom Schmidt, Tarun Chitra, and Robert Leshner chop it up about the latest in crypto. This week, Helius's Mert returns to defend Zcash's ~400% run and the “encrypted Bitcoin” framing, digging into anonymity sets, privacy UX, and why Bitcoiners are so riled up. We then tackle the Tempo bombshell — a ~$500M raise at a ~$5B pre, Stripe/Paradigm ties, Dankrad's move from the EF — alongside Péter Szilágyi's letter on EF culture and compensation: public goods priesthood vs. market incentives. Next up: Mert's “USD Manlet” rethink (why coordinating Solana around one stable is hard, and why pushing USDT to compete with USDC may be the sharper play) plus a gripe-fueled tour of today's DeFi trading UX. Finally, an AWS-outage autopsy: Coinbase downtime, Base sequencer hiccups, Infura/MetaMask ripple effects, and the case for multi-region/multi-cloud redundancy when real money — and sometimes safety — are on the line. And no, despite the memes, Mert is not launching a DEX. For more links and Show Hilights - https://unchainedcrypto.com/podcast-chopping-block/the-chopping-block-zcash-400-tempos-500m-shock-ef-pay-firestorm-aws-base-meltdown-feat-mert/ ⭐️Haseeb Qureshi, Managing Partner at Dragonfly ⭐️Robert Leshner, CEO & Co-founder of Superstate ⭐️Tom Schmidt, General Partner at Dragonfly  Guest ⭐️ Mert, Co-founder & CEO at Helius Hosts ⭐️Haseeb Qureshi, Managing Partner at Dragonfly ⭐️Robert Leshner, CEO & Co-founder of Superstate⭐️Tom Schmidt, General Partner at Dragonfly  Guest ⭐️ Mert, Co-founder & CEO at Helius “One Long Memo” [A Letter To The EF] by Péter Szilágyi https://gist.github.com/karalabe/a2bc53436f29e0711fe680d59e180f6c  Timestamps 00:00 Intro 01:22 Mert a Madman of Solana and now Zcash 05:20 Bitcoin vs. Zcash: A Philosophical Clash 14:35 Tempo Fundraise and Ethereum's Talent Exodus 33:05 Ethereum's Social Layer & Public Goods 34:45 The Importance of Religious Priesthood in Crypto 41:01 The USD Manlet Proposal & Stablecoin Coordination 49:32 AWS Outage & Its Impact on Crypto Learn more about your ad choices. Visit megaphone.fm/adchoices

Francis is the Founder of Bull Bitcoin, one of the best bitcoin brokerage services. They recently launched a self custody mobile wallet on ios and android: Bull Wallet. This rip was earlier today, in person, in Lugano. We are both here for the PlanB Forum.Francis on Nostr: https://primal.net/francisFrancis on X: https://x.com/francispouliot_Bull Wallet: https://wallet.bullbitcoin.comPlanB Forum: https://planb.lugano.ch/planb-forum/EPISODE: 181BLOCK: 920238PRICE: 929 sats per dollar(00:00:00) Catching up from Lugano: old rips, 2019 memories, and lore(00:01:07) Introducing Bull Wallet: goals, BDK under the hood, and UX vision(00:02:21) Lightning lessons: LDK attempts, liquidity pain, and Phoenix tradeoffs(00:04:38) Fee shocks and “just-in-time” channels: why Liquid entered the plan(00:06:24) Liquid + Boltz atomic swaps: architecture, Rootstock notes, and standards push(00:07:37) Designing for privacy and power users: Sparrow on mobile, Payjoin journey(00:12:21) Data minimization in practice: no push, no cloud leaks, strict dependencies(00:13:56) Shipping realities: iOS approval grind and cross‑platform necessity(00:15:11) Secure versus Instant: Liquid framing, hype cycles, and collaborative custody(00:19:13) The UX–compromise matrix: placing Liquid among trust models(00:21:24) Auto‑swap safety rails: keeping Liquid balances modest by default(00:24:26) Confidential transactions and buying flows: privacy wins via Liquid(00:27:24) Swap providers and resilience: Boltz today, multi‑provider tomorrow(00:31:05) Builders who ship: moving fast, potentially Ark or Spark in the future(00:32:11) Why Ark: unilateral exits, pre‑confirmed states, and costs(00:50:00) Ark tradeoffs without soft forks: watchtowers, refresh, and liveness(00:57:15) Ark vs Liquid in Bull Wallet: timelines, reckless testing, and user defaults(01:04:12) Payjoin, heuristics, and passive consolidation(01:11:01) Consolidation strategies: Liquid swaps, CT, and fee‑aware UTXO management(01:15:48) Lightning address UX with Liquid: directories, costs, and tiny payments(01:17:10) Nostr as a wallet backend: zaps, contact book, and secure comms(01:18:01) Multisig in practice: BitPay's UX, Miniscript future, and mobile approvals(01:20:19) Operator messaging and alerts: following npubs inside the app(01:20:49) Core v30, OP_RETURN, and policy vs consensus(01:31:09) Funding open source: OpenSats, private companies, and shipping culture(01:35:15) Why open source keeps us sane: creativity, legacy, and closing notesmore info on the show: https://citadeldispatch.comlearn more about me: https://odell.xyz

Ever wondered how source maps actually work? In this episode, Nicolo Ribaudo, Babel maintainer and TC39 delegate, breaks down how source maps connect your JavaScript, TypeScript, and CSS back to the original code — making debugging, stack traces, and observability smoother in Chrome dev tools. We dive into how source maps help in both development and production with minified code, explore tools like Webpack, Rollup, Next.js, and Svelte, and share when you should turn off source maps to avoid confusion. Links Website: https://nicr.dev LinkedIn: https://www.linkedin.com/in/nicol%C3%B2-ribaudo-bb94b4187 BlueSky: https://bsky.app/profile/nicr.dev Github: https://github.com/nicolo-ribaudo Resources Squiggleconf talk: https://squiggleconf.com/2025/sessions#source-maps-how-does-the-magic-work Slide deck: https://docs.google.com/presentation/d/1lyor5xgv821I4kUWJIwrrmXBjzC_qiqIqcZxve1ybw0 We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey (https://t.co/oKVAEXipxu)! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabet.becz@logrocket.com (mailto:elizabeth.becz@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Check out our newsletter (https://blog.logrocket.com/the-replay-newsletter/)! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Chapters 00:00 Intro – Welcome to PodRocket + Introducing Nicolo Ribaudo 00:45 What Are Source Maps and Why They Matter for Debugging 01:20 From Babel to TC39 – Nicolo's Path to Source Maps 02:00 Source Maps Beyond JavaScript: CSS, C, and WebAssembly 03:00 The Core Idea – Mapping Compiled Code Back to Source 04:00 How Source Maps Work Under the Hood (Encoded JSON) 05:10 File Size and Performance – Why It Doesn't Matter in Production 06:00 Why Source Maps Are Useful Even Without Minification 07:00 Sentry and Error Monitoring – How Source Maps Are Used in Production 08:10 Two Worlds: Local Debugging vs. Remote Error Analysis 09:00 You're Probably Using Source Maps Without Realizing It 10:00 Why Standardization Was Needed After 15+ Years of Chaos 11:00 TC39 and the Creation of the Official Source Maps Standard 12:00 Coordinating Browsers, Tools, and Vendors Under One Spec 13:00 How Chrome, Firefox, and WebKit Implement Source Maps Differently 14:00 Why the Source Maps Working Group Moves Faster Than Other Standards 15:00 A Small, Focused Group of DevTools Engineers 16:00 How Build Tools and Bundlers Feed Into the Ecosystem 17:00 Making It Easier for Tool Authors to Generate Source Maps 18:00 How Frameworks Like Next.js and Vite Handle Source Maps for You 19:00 Common Pitfalls When Chaining Build Tools 20:00 Debugging Wrong or Broken Source Maps in Browsers 21:00 Upcoming Feature: Scopes for Variables and Functions 22:00 How Scopes Improve the Live Debugging Experience 23:00 Experimental Implementations and How to Try Them 24:00 Where to Find the TC39 Source Maps Group + Get Involved 25:00 Nicolo's Links – GitHub, BlueSky, and Talks Online 25:30 Closing Thoughts

 Developers are squeezing more value from tighter sites—Automated Parking Systems for Multifamily can make the deal pencil. Klaus Multiparking's Chris Tiessen breaks down costs, timelines, and real-world ROI. In this conversation, we explore how Automated Parking Systems for Multifamily unlock density, revenue, and approvals when conventional parking won't fit. Chris explains the major system types (independent stackers, puzzle parkers, fully automatic), typical price ranges (~$12k per stacker space, ~$20–25k puzzle, ~$60k+ fully auto), and why many projects hit a ~5-year payback. We discuss when to loop parking engineers in (schematic design), retrofits (ceiling height, site constraints), service coverage, and how AI (plate recognition, billing) will streamline user experience. You'll also hear about Klaus's new Kvario “puzzle-in-a-box” for open lots—perfect for mixed resident/public use (think stadium/game days). If you develop in dense submarkets or need a value-add lever, Automated Parking Systems for Multifamily could be the difference between “no” and “go.”Connect with Chris Tiessen: multiparkingusa.com Chapters:00:00 – Introduction02:39 – System types: stackers, puzzle, fully automatic (Mission Impossible vibes)06:04 – Cost per space & how to think about ROI08:13 – When to engage (schematic design) & install timelines13:30 – Typical payback periods (3–5 years) & monetization ideas20:20 – Markets, service model, and reliability21:39 – How AI will improve UX, billing, and access control33:26 – Gino wraps it up We're here to help create multifamily entrepreneurs... Here's how: Brand New? Start Here: https://jakeandgino.mykajabi.com/free-wheelbarrowprofits Want To Get Into Multifamily Real Estate Or Scale Your Current Portfolio Faster? Apply to join our PREMIER MULTIFAMILY INVESTING COMMUNITY & MENTORSHIP PROGRAM. (*Note: Our community is not for beginner investors)

Are you a UX professional struggling to explain who you are or what you want next? You're not alone. Here's how to clear the fog and move forward with clarity.If you've been feeling stuck in your UX career, unsure of your strengths, hesitant to apply for jobs, or wondering if you still belong in the industry, then this episode is for you.Sarah introduces the concept of Career Identity Fog, a feeling of misalignment that can erode your confidence and sabotage your job search.But there's good news: You can use UX research and strategy tools on yourself to lift the fog and reposition your career with clarity and conviction.This is Part 1 of a special 3 part series on diagnosing your UX job search challenges, so make sure you subscribe so you don't miss the other episodes in this series.What You'll Learn in This Episode:✔️ What Career Identity Fog is—and why so many UX professionals are feeling it✔️ 5 signs you're stuck in identity fog (and how it's slowing down your job search)✔️ A 3-part framework to rediscover who you are and what you want in your UX career✔️ Why confidence doesn't come from trends—it comes from clarity✔️ How one woman got hired by clearly articulating her ideal role on LinkedInTimestamps:00:00 Introduction: Overcoming Career Identity Fog00:31 Understanding Career Identity Fog01:21 Diagnosing Your UX Job Search03:40 Symptoms of Identity Fog in Your Career11:33 Job Search Diagnosis Checklist17:21 Clearing the Identity Fog: Steps to Take23:55 Real-Life Success Stories28:02 Conclusion and Next Steps29:46 Career Strategy Lab: Your Path to Success31:25 Final Thoughts and Encouragement

00:00 – Intro & Channel Update00:45 – Moneta Account Compromised (USDM Scam Warning)02:03 – Cardano Foundation x MiCA Alliance Partnership02:45 – Cardano Card by Omogo04:42 – Hydra 1.0.0 Released: Cardano's Layer 2 Goes Live06:36 – VyFinance V3 Upgrades to Plutus V3 Contracts07:58 – Strike Finance: ADA Rewards & DeFi Dominance09:47 – Surf: Borrowing and Lending with One-Click Leverage11:18 – Pulse Coming Soon (Pendle on Cardano)13:15 – Splash & DexHunter Partnership14:19 – Charles Hoskinson on Crypto Banter15:14 – Cardano Summit Berlin Incoming + Free Ticket Guide18:17 – Iagon Cyclone DePIN Devices Shipping19:47 – Wrap Up & Support the ChannelIn this week's Cardano update, I'm back on a sustainable schedule: one news recap, one interview, and one short tutorial each week.We kick off with a public service announcement: a fake “double USDM” promo is circulating via a cloned site that tries to connect to generic EVM wallets. Do not interact - protect your assets.On to the good news. The Cardano Foundation is collaborating with a MiCA-aligned alliance to deliver standardised resources for Web3 compliance in the EU. Omogo's “Cardano Card” aims to make crypto spending easier with a smoother UX than older solutions.A big technical milestone lands with Hydra's 0.0 production-ready release - Cardano's app-specific L2 for high-throughput use cases. Expect projects like Delta DeFi to take advantage.DeFi keeps building: VyFinance is moving its DEX to Plutus V3 for speed and efficiency; STRIKE continues to dominate on-chain activity with protocol fees paid back to stakers in ADA (DYOR); and Surf adds one-click leverage, a loan calculator, and institutional pilot liquidity.We preview Pulse - a Pendle-style protocol to trade future yield and unlock liquidity today - with an interview coming soon. Plus, DexHunter and Splash are teaming up to pair best-in-class aggregation with efficient swapping.Community and events: Ran interviews Charles Hoskinson, a positive step for the broader crypto dialogue. Cardano Summit in Berlin is close - check discount paths for contributors and consider the hackathons and side events. Lastly, Iagon's Cyclone DePIN hardware is shipping - I'll demo it once my unit arrives.Thanks for watching. Like, subscribe, and consider becoming a channel member to support sustainable production. Links below to everything mentioned.DISCLAIMER: This content is for informational and educational purposes only and is not financial, investment, or legal advice. I am not affiliated with, nor compensated by, the project discussed—no tokens, payments, or incentives received. I do not hold a stake in the project, including private or future allocations. All views are my own, based on public information. Always do your own research and consult a licensed advisor before investing. Crypto investments carry high risk, and past performance is no guarantee of future results. I am not responsible for any decisions you make based on this content.

Instacart, Uber, and DoorDash are among 11 partners integrating with ChatGPT later this year, making grocery shopping "as simple as having a conversation." Walmart also announced an amorphous partnership with OpenAI. Chris is gobsmacked by the pace of disruption... just two years into the AI revolution. Anne predicts this will reshape UX design and consumer journeys entirely, forcing retailers to rethink how customers discover and purchase products. The hosts discuss why we're in "mile one" of a transformation as significant as the original rise of e-commerce. #ChatGPT #AIRetail #Instacart #DoorDash #UberEats #OpenAI #ConversationalCommerce #RetailDisruption #AIShopping #SuperApp #RetailTech

Sponsored by Auth0 for Startups → 1-year free https://auth0.com/startups/vip Auth0 is an adaptable authentication and authorization platform that helps you secure your apps and AI agents. It delivers convenience, privacy, and security so you can focus on building a great UX. FOUNDER PROFILE:Claire Tomkins, Founder of Future Familyhttps://www.linkedin.com/in/claire-tomkins-b122422/

Matt Bowers — SEO and LLM consultant, formerly of Zapier and Zillow — joins Ross Hudgens for a deep dive into how AI is transforming programmatic SEO. They explore what's working and what's not for large-scale, AI-assisted content strategies — from full-AI “use-case” pages to hybrid human workflows. Matt breaks down examples of successful AI programmatic sites, the pitfalls of duplicate content, and the emerging “information gain” paradigm shaping rankings post-2024. They also discuss the limits of AI in UX-driven verticals, personalization opportunities, long-tail visibility in LLMs like ChatGPT, and how data-driven scaling can still give human SEOs a competitive edge. Plus: the rise and fall of Greg.app, the future of personalization, Zillow's “Project Boggle,” and practical tools like Builder.io, Strapi, and AirOps that power modern programmatic builds. Show Notes 0:08 – Matt returns for round two: programmatic SEO meets AI 1:00 – Are “pure AI” sites actually winning? What's working and what's not 2:06 – Inside a million-visit-per-month AI programmatic play 3:15 – Structuring AI content around real use cases, not blog posts 4:22 – Why old GPT-3.5 copy can still rank — and the “don't mess with success” mantra 5:03 – Dwell time as a differentiator: the “product as content” advantage 6:13 – How AI copy helps with indexing and duplicate-content differentiation 7:17 – Why Google probably isn't detecting AI directly and what it does instead 8:11 – The “high-DR arbitrage” era of AI content — and why it's fading 10:11 – Why most public AI case studies stay anonymous 11:16 – Case study: Greg.app — AI-generated plant care pages done right 12:03 – How prompt engineering + UX elevate AI content 13:13 – Prompting each paragraph individually vs. one giant prompt 15:21 – Two winning models: product-driven and UX-driven AI programmatic 16:15 – Why blog-style AI content still struggles and the “pizza” metaphor 20:05 – Greg.app's traffic drop: lessons from a 75% decline 22:21 – AI's scalability advantage — and its ROI trade-offs 25:24 – Zillow's data advantage: proprietary enrichment and GIS precision 26:16 – When AI enables pages that “shouldn't exist” by human economics 27:21 – Scaling what can't be scaled: the real AI unlock 28:16 – Competing in local long-tail SERPs with AI vs. humans 28:31 – Traits of losing players: low information gain, weak differentiation 29:20 – Why “information gain” may be the new ranking factor 30:06 – Proprietary data as the ultimate SEO differentiator 31:00 – How real estate UX converged — and why speed and personalization win 33:00 – When non-AI programmatic still wins: data-only, high-usability pages 35:07 – Where AI doesn't belong: when usability is more important than copy 35:37 – Personalization and the future of AI-driven recommendations 37:07 – The Perplexity vision: a world run by AI agents and voice search 39:06 – What AI agents mean for SEO and monetization 40:38 – Long-tail demand from LLMs and how Zapier used programmatic pages 42:29 – How LLMs discover your use cases and why it matters 43:20 – Using internal data to fuel new programmatic ideas Project Boggle 46:09 – Generating new landing pages from user search inputs 47:52 – Internal search data as a goldmine for programmatic expansion 48:30 – Tools of the trade: AirOps, Builder.io, Strapi, and hybrid stacks 49:43 – Why programmatic SEO still needs human PMs and engineers 50:08 – Where to find Matt online Show Links Matt Bowers on LinkedIn: https://www.linkedin.com/in/mpbow/ Matt's Website: https://mattb.rs/ Greg.app AI plant care example: https://greg.app/plant-care/monstera Strapi CMS: https://strapi.io/ AirOps: https://www.airops.com/ Builder.io: https://www.builder.io/ Subscribe today for weekly tips: https://bit.ly/3dBM61f Listen on iTunes: https://podcasts.apple.com/us/podcast/content-and-conversation-seo-tips-from-siege-media/id1289467174 Listen on Spotify: https://open.spotify.com/show/1kiaFGXO5UcT2qXVRuXjsM Listen on Google: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zaW1wbGVjYXN0LmNvbS9jT3NjUkdLeA Follow Siege on Twitter: http://twitter.com/siegemedia Follow Ross on Twitter: http://twitter.com/rosshudgens Directed by Cara Brown: https://twitter.com/cararbrown Email Ross: ross@siegemedia.com #seo | #contentmarketing

What if you could build a working prototype just by describing it?That's the idea behind vibe coding a new way of designing where intent replaces execution, and AI handles the details.In this episode, we explore:what vibe coding actually is and how it workshow it's transforming the UX process and team collaborationwhich new skills designers need to stay aheadand the real risks behind the hype — from creative sameness to fragile AI codeYou'll hear insights, real examples, and a look at how designers, PMs, and developers can work together in this new AI-powered workflow.✨ Join the Vibe Coding for UX live Training✨ From Intent to Interactive Prototype, a live training where you'll learn to turn your ideas into testable prototypes, no coding required.

Artificial Intelligence is transforming corporate learning, but not every organization is doing it in ways that employees actually trust. In this episode of Workplace Stories, we talk with Peter Manniche Riber, Digital Learning & AI Leader, about how his team built AI-powered learning tools that employees truly believe in.From creating the “Dilemma Coach” and “IDP Coach” to redefining personalization and data privacy, Peter demonstrates what happens when innovation is combined with practicality, and why sometimes the smartest move is to build, rather than buy.You will want to hear this episode if you are interested in...[00:00] Why “believability” is the key to AI adoption.[04:50] How Novo Nordisk's “Dilemma Coach” and “IDP Coach” came to life.[09:00] Why less data, and the right data, creates better personalization.[17:00] Balancing privacy, ethics, and personalization in AI learning.[25:30] Working with works councils and data regulators early.[33:00] Scaling learning equity and access across global teams.[39:40] What AI means for strategic workforce planning.[41:30] Peter's advice for L&D leaders ready to experiment with AI.The Power of “Believability” in AI LearningAt Novo Nordisk, Peter's team coined a simple but powerful concept, believability. It means people will only engage with AI tools if they recognize themselves and their context in the experience. Through hundreds of user tests, they found that when an AI response feels personal and relevant, adoption skyrockets.Rather than hoarding corporate data, they ask employees directly about their goals, challenges, and career aspirations. This approach not only keeps data secure but also ensures every interaction feels real, human, and trustworthy.Why Novo Nordisk Built Its Own AI ToolsWhen it came to designing learning applications, Peter's team decided to build rather than buy. The reason? Control, context, and compliance. Off-the-shelf tools couldn't meet Novo Nordisk's strict privacy standards or reflect its unique leadership culture. By developing internally, the team could train AI on company-specific frameworks, design intuitive UX guardrails, and maintain full ownership of their data, while spending less than a handful of traditional e-learning modules would cost.Redefining Data and TrustInstead of scraping internal systems, Peter's philosophy is simple: ask people. Employees willingly provide fresh, accurate context when they understand how it's used. Transparency and consent are baked into the process, with large-font screens explaining how data is handled and why it matters.The result? Nearly 90% of employees feel completely safe using these tools, a remarkable trust level for AI-driven systems inside a regulated, global company.The Future of L&D and AI ExperimentationPeter's message to learning leaders: stop waiting for perfection and start experimenting. You don't need a massive budget or a team of data scientists to create meaningful AI applications. What you need is curiosity, clear hypotheses, and the courage to learn by doing.AI won't replace thoughtful design or human judgment, but it can unlock a new era of personalized, scalable, and believable learning.Resources & People MentionedNovo NordiskConnect with Peter Manniche RiberLinkedIn: Peter Manniche RiberConnect With Red Thread ResearchWebsite: Red Thread ResearchOn LinkedInOn FacebookOn TwitterSubscribe to WORKPLACE STORIES

AI agents are becoming part of everyday business, but building ones that reason and adapt is still a challenge.On this episode of Ctrl + Alt + AI, host Dimitri Sirota sits down with Joe Miller, Chief AI Officer of Vivun, to explore how enterprises are creating agents that move beyond simple automation. Joe shares what it takes to design systems that can model knowledge, fit into company culture, and genuinely support teams in their work.We examined where current approaches fall short, explored what's possible as AI matures, and discussed how leaders can prepare for the next stage of intelligent agents in security and enterprise environments.In this episode, you'll learn:How reasoning and knowledge representation shape the future of AI agentsWhy cultural fit matters for the successful adoption of intelligent assistantsWhat enterprises should expect as agent technology maturesThings to listen for: (00:00) Meet Joe Miller(01:42) Physics background shaping an AI career(04:44) Why presales roles inspired Vivun's creation(05:29) GPT-3 surprises and the UX breakthrough(08:37) GPT-5's plateau and persistent hallucinations(12:32) Moving from a small pond to a big ocean(15:08) How Ava supports the full pipeline(21:38) Culture as the differentiator for AI agents(28:21) Should AI agents specialize or do everything?

Hold on to your butts! In this episode of The Agency Rocket Show, hosts Liz and Chelsea break down the anatomy of a great website—from the brand strategy that should inform every page, to the technical and UX details that separate a scroll-worthy site from one that makes users bail in three seconds. We'll cover everything from: Why “pretty” isn't a strategy (and how to stop designing for yourself instead of your users) How to define your site's real job: lead gen, storytelling, donor outreach, or credibility Balancing SEO and humanity, so your site ranks and doesn't read like AI slop The tech side nobody tells you about, like image weight, load time, and Google indexing The unsung heroes: accessibility, site maintenance, and post-launch client support Between jokes about aging, filters, and filler (literally and figuratively), we'll unpack what makes a web project actually succeed... and why it's always worth doing it the right way, even when it's not the easy way. So if you take nothing else from this episode: make it strategic, make it work... and then you can make it pretty. 

This episode goes off the beaten path just a tad. Instead of talking directly about UX and some of its inner workings, Darren shares his TED Talk from 2021. In this slightly biographical set, Darren talks about the importance of subscribing to excellence and the associated benefits. Enjoy!REMINDER: Video is available for this episode via select resources. #ux#podcasts#cxofmradio#cxofm#realuxtalk#worldofux#worldoux Bookmark the new World of UX website at https://www.worldoux.com. Visit the UX Uncensored blog at https://uxuncensored.medium.com. Get your specialized UX merchandise at https://www.kaizentees.com.

Sponsored by Auth0 for Startups → 1-year free https://auth0.com/startups/vip Auth0 is an adaptable authentication and authorization platform that helps you secure your apps and AI agents. It delivers convenience, privacy, and security so you can focus on building a great UX. VC PROFILE: Ram Venkatesh, Founder of Sema4.ai https://www.linkedin.com/in/ram-venkatesh-34166/

What if AI could solve one of fashion's biggest problems—waste—while helping men look sharp without ever setting foot in a mall? In this episode of The Root of All Success, I sit down with Anya Cheng, a Silicon Valley tech executive turned founder of TAELŌR, an AI-powered clothing rental and styling platform for men that's transforming how fashion meets technology and sustainability. Before launching TAELŌR, Anya helped build Facebook and Instagram Shopping at Meta, led innovation at eBay and Target, and scaled McDonald's global food delivery. Today, she's using AI to make fashion smarter, more sustainable, and accessible to busy professionals. We dive into how Anya turned a personal frustration into a groundbreaking business model—and what her journey reveals about innovation, leadership, and courage in a male-dominated industry.

After being laid off and earning a Master's degree in UX, Melp still wasn't landing UX job interviews. What changed? She stopped applying to everything and started thinking strategically.In this Q&A from a Career Strategy Lab Open House, Sarah Doody talks with Melp, a UX researcher turned product manager, about the ups and downs of her UX job search journey. Despite years of experience, a Masters degree in UX from the University of Michigan, and hundreds of UX job applications, Melp wasn't getting traction, until she joined Career Strategy Lab.You'll hear how she slowed down to get clear, challenged the narrative that she was “difficult to work with,” and started positioning herself as a strategic asset (not a liability). Her confidence began to rebuild, not because of a new certification, but because she finally saw her work for what it was: valuable.What You'll Learn in This Episode:✔️ Why Melp chose strategy over hustle in her UX job search✔️ How the Career Compass Sprint helped her identify what she really wanted✔️ The mindset shift from “I'm difficult” to “I'm a high-impact team member”✔️ Why she stopped over-preparing and started owning her story✔️ How CSL's “minimum viable portfolio” mindset freed her up to move forward faster✔️ The difference between traditional career support and CSL's strategic, in-depth processTimestamps:00:00 Introduction to Career Strategy Lab02:14 Melp's Career Journey and Challenges03:39 The Importance of Finding the Right Job05:25 Deep Dive into Career Compass Sprint07:02 Confidence and Self-Discovery09:02 The Diva Mindset and Environment Fit17:02 CSL's Unique Approach and In-Depth Process22:18 Final Thoughts and Advice for Job Seekers24:13 Conclusion and Podcast Outro24:53 Special Message for Job Seekers

In this episode of Insights Unlocked, host Nathan Isaacs sits down with Sangram Vajre—co-founder of Terminus and GTM Partners, bestselling author, and pioneer of the Flip My Funnel movement—to explore how customer-first thinking reshapes business growth. Sangram recounts the moment of inspiration that led to flipping the traditional sales funnel on its head and how that napkin sketch evolved into a movement that transformed B2B marketing. Sangram also shares insights from his MOVE framework (Market, Operations, Velocity, Expansion), offering a fresh lens for diagnosing go-to-market (GTM) challenges at every stage of business growth. He dives into the rise of fractional leadership, the role of AI in driving customer insight and product innovation, and why focusing on Net Revenue Retention (NRR) may be the single best way to align teams around growth. Whether you're in marketing, product, UX, or customer experience, this episode will challenge how you think about pipeline, growth, and what it really means to put the customer first. What you'll learn in this episode:  The origin story behind Flip My Funnel and how it reshaped ABM and B2B marketing Why most marketing and sales funnels fail—and what to do instead The MOVE framework: a diagnostic tool for GTM strategy How Net Revenue Retention (NRR) is the ultimate measure of customer-centric growth The rise of fractional roles and what it means for the future of work How AI is changing the way we listen to and serve customers at scale Resources & Links: Sangram Vajre on LinkedIn (https://www.linkedin.com/in/sangramvajre/) GTM Partners (https://gtmpartners.com/) MOVE and other books (https://sangramvajre.com) GTM Mondays newsletter on Substack (https://gtmonday.substack.com/) Nathan Isaacs on LinkedIn (https://www.linkedin.com/in/nathanisaacs/) Learn more about Insights Unlocked: https://www.usertesting.com/podcast

What's the most ridiculous UX feature Nick and Chuck have encountered? Hint: one involves mobile popups that sabotage purchases, and the other created an infinite authentication loop that made booking impossible.Join hosts Chuck Moxley and Nick Paladino as they flip the script and sit in the hot seat for their two-year anniversary episode. Interviewed by their producers Grant Taleck and Mitch Kubik from AuthentIQ Marketing, Chuck and Nick share behind-the-scenes stories from 50+ episodes, reveal why they never give guests questions in advance, and discuss the most frustrating apps they've ever used.They also reveal their dream guests, the inside jokes that have developed over two years, and how having a team makes it all possible when most podcasts don't survive past their first few episodes.Key Actionable Takeaways:Keep interviews organic by avoiding over-preparation - Don't give guests all questions in advance as it leads to scripted, read-aloud answers that feel unnaturalBuild a production team to sustain long-term content creation - Consistent podcasting requires editors, producers, schedulers, and content creators to handle the workload alongside day jobsListen to yourself regularly to get comfortable with your voice - Producing 50 episodes forces you to review recordings constantly, eliminating self-consciousness about hearing your own voiceWant more tips and strategies about creating frictionless digital experiences? Subscribe to our newsletter! 

Headed to Dreamforce (Oct 14–16)? In 30 minutes, Salesforce's David Beebe breaks down: RCA now: 6 releases, faster UX, upgraded constraint builder Revenue Cloud Billing: what's new + why demand is spiking Unified CPQ + Billing: fewer errors, faster cycle time Pricing & AI/Agents: usage-based, analytics, interoperability Sessions to add: RC Keynote, Consumption Models, Invoice-to-Cash Listen Oct 12 to plan your week!

Comment refondre un site e-commerce en préservant plus de 250 ans d'histoire - avec MeertDans cet épisode enregistré au One to One Expérience Client à Biarritz, je reçois Johann Petit, directeur du digital de Meert, maison fondée en 1761 à Lille, connue pour sa célèbre gaufre à la vanille de Madagascar… mais aussi pour sa capacité à évoluer sans renier son âme.On parle ici de refonte e-commerce, mais aussi de respect du produit, d'image de marque, de contraintes logistiques, et d'un vrai défi : comment faire entrer une maison patrimoniale dans les codes du digital moderne, sans perdre ce qui la rend unique.

Bitcoin.com's Director of Engineering Andreas Larson joins Graham and David to unpack how the Bitcoin.com Wallet evolved from Cordova to fully native, why custom backends make decentralized UX feel instant, how the team chooses new chains (hint: tooling wins), and what's next: MPC wallets, biometric onboarding, and fewer approvals. We also cover the VERSE rewards program - cashback on-chain - and staking VERSE to earn tBTC yield.Watch the full video now and drop your thoughts in the comments.Download the Bitcoin.com Wallet - secure, self-custodial, and user-friendly by design.Timestamps:00:00 The Challenges of Self-Custody Wallets02:59 Andreas Larsson's Journey into Crypto05:50 Building the Bitcoin.com Wallet08:47 Evolution of the Bitcoin.com Wallet11:48 User Experience and Rewards in the Wallet14:58 Multi-Chain Integration and Future Prospects18:10 The Future of Self-Custody Wallets and Crypto#crypto #selfcustody Subscribe to our channel and hit the bell "

Many complain about the state of usability and user experience (UX) in Web3, and how it's hindering widespread adoption. But Michael argues, we've already solved these issues TODAY...Sequence has a fascinating history, from early days of Web3 Gaming to a modern, EVM-compatible, multi-chain dApp toolkit which is making life easier for builders and users alike. This is a story you need to hear.In this show we cover:- The fascinating Sequence origin story - Current state of the Ethereum and EVM ecosystem- What people mean by 'improving Web3 UX' (and how Sequence solves this)- Interoperability (making cross ETH, L2 and non-ETH chain transactions easy and secure)- What more is required for wider adoption of Web3 and decentralised apps

After leading a major gov site launch, Philippe Fara is back to share how OOUX helped him deliver better outcomes with less chaos. From mastering the ORCA Process to mentoring others, he spills the tea on scaling UX strategy, building confidence, and making complexity intuitive.OOUX LINKS:Check out Philippe's last appearance on the UX Level-Up Podcast!Admire Philippe's work on Renfrewshire.gov.ukJoin the waitlist for the Self-Paced OOUX Masterclass!Continue the conversation on the OOUX Forum!

Flightcast's Rox Codes joins us to unpack a video-first hosting and growth platform built for YouTube, Spotify, and serious creators, while we challenge inflated web “browser” downloads, pricing resets, and what actually counts as a podcast in a $3B market. We weigh useful AI assistants against synthetic co-hosts, and map the road to practical standards like HLS and Podcasting 2.0.• livewire host-share data showing consolidation and heritage brands sliding• price rises at major hosts and how AI features drive bundled costs• web player download spikes likely from bots, scrapers, and cloud IPs• what Flightcast publishes where and why video-first matters• AI analytics assistant for multi-platform, time-bounded insights• clip experimentation on separate channels to validate winners• storage choices enabling future video RSS and richer search• podcasting 2.0 tags for chapters and transcripts on the roadmap• why HLS needs shared best practices before broader adoption• Global Studios' video push and creator acquisitions• the $3B ad forecast and the definition problem of “podcast”• Apple's Podroll video promos UX quirks and limits• soundbites, playlists, and underused standards for discovery• creator tools: Audacity redesign and Whisper.cpp speed gains• a human-first stance on AI: assist, don't replaceStart podcasting, keep podcasting with BuzzSprout.comSend James & Sam a messageSupport the showConnect With Us: Email: weekly@podnews.net Fediverse: @james@bne.social and @samsethi@podcastindex.social Support us: www.buzzsprout.com/1538779/support Get Podnews: podnews.net

Jono Alderson joins the podcast to discuss why semantic HTML still matters today. He shares how thoughtful markup can improve accessibility and performance, from using the picture tag and responsive images to optimizing with content-visibility CSS. The conversation dives into common pitfalls like div soup, the shift toward more template-centric design, and techniques for improving the critical rendering path. Jono also discusses preloading, HTTP early hints, and the evolving role of structured data, LLMs, and Google's trust signals in shaping a more meaningful and efficient web. Links Website: https://www.jonoalderson.com X: https://x.com/jonoalderson BlueSky: https://bsky.app/profile/jono.id LinkedIn: https://www.linkedin.com/in/jonoalderson Resources Why semantic HTML still matters: https://www.jonoalderson.com/conjecture/why-semantic-html-still-matters/ Chapters 00:40 Meet Jono Alderson: SEO Consultant and Web Performance Expert 02:00 Why Semantic HTML Still Matters in 2025 05:00 Accessibility, Performance, and the 15% Market Opportunity 08:00 The Cost of Div Soup and Framework Abstraction 10:30 Finding Balance: Developer Experience vs User Experience 13:00 Template-Centric Thinking vs Component-Centric Development 16:00 What Is a Page? Rethinking How the Web Works 18:30 Structured Data, Schema.org, and Google's Trust Signals 21:00 Quick Round: Picture Tag, Content Visibility, and Performance 23:30 The Worst HTML Anti-Patterns Developers Still Use 25:00 Will LLMs Reward Good Markup or Ignore It? 26:00 Where to Find Jono Alderson and Closing Thoughts We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey (https://t.co/oKVAEXipxu)! Let us know by sending an email to our producer, Elizabeth, at elizabet.becz@logrocket.com (mailto:elizabeth.becz@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr)

Michael and Jake open with retro arcade serendipity (a Mortal Kombat cabinet sighting!) and tumble into family bowling, kid-approved card games, and why tactile gadgets are back in style.Then they pivot hard into dev-mode: shadcn/ui (and shadcn-vue), Inertia, React-ish forms, and the age-old tradeoff between “batteries-included” simplicity and modern real-time UX.Highlights:Mortal Kombat cabinet & mini arcades, gift ideas for Laracon AUDuckpin bowling explainer and family bowling stories (plus UNO, Yahtzee, Taco Cat Goat Cheese Pizza)The “analog is cool again” thread: mechanical keyboards, a Keychron board, and a retro 3D-printed mouse shell for a Logitech M185Dev deep-dive: shadcn docs, Inertia forms, partial reloads vs full refresh, Livewire/Alpine, and real-time updates with Pusher/ReverbShow linksRetroPie / Arcade1UpLaracon AUDuckpin bowlingKeychron keyboard3D-printed retro mouse shell for Logitech M185Taco Cat Goat Cheese PizzaInertia.jsshadcn/uishadcn-vueLivewireAlpine.jsPusherLaravel ReverbAxiosfetch

Sponsored by Auth0 for Startups --> 1-year free https://auth0.com/startups/vipAuth0 is an adaptable authentication and authorization platform that helps you secure your apps and AI agents. It delivers convenience, privacy, and security so you can focus on building a great UX.FOUNDER PROFILE:Arvind Parthasarathihttps://www.linkedin.com/in/arvindparthasarathi/  

What happens to UX design when apps disappear or rather, move inside ChatGPT?Please share your thoughts with me on LinkedinIn this episode of Future of UX, Patricia explores OpenAI's latest update: ChatGPT's new app ecosystem. With integrations from Canva, Figma, Booking.com, and Etsy, ChatGPT is evolving into more than just a chatbot it's becoming a platform where the interface is the conversation itself.We'll cover:What ChatGPT's new app store means for designers and usersWhy invisible interfaces could be the next big UX paradigm shiftThe opportunities and risks: transparency, trust, and user controlHow the role of designers may evolve from screen design to conversation architectureWhy some call this the birth of an “AI-OS”If you want to understand where UX is heading and what skills you'll need for the future, this episode is for you.✨ Sign up for the AI Booster Session✨AI Prototyping with Vibecoding on Oct 29th, 5pm CET→ Grab your spot (early bird offer)AI for Designers: 5-week Bootcamp

In the first episode of season 4, Dan Brown joins us to share about his love of hobby board games. He talks about transitioning from games like Monopoly to discovering the more advanced Carcassonne, which became his gateway into modern board gaming. Dan explores the relationship between game themes and mechanisms, saying he's drawn to games where these elements work together cohesively. He discusses his collection's evolution from simple games he could play with his family to more complex strategy titles, and touches on his fascination with observing how people interact with game systems. Dan emphasizes the tactile, screen-free nature of board gaming as an important escape from digital experiences, and offers advice for newcomers to the hobby on how to look for the right game for them.Guest BioAfter running boutique design firm EightShapes for 18 years, Dan Brown (he/him) struck out on his own, starting Curious Squid Design Lab to continue providing high quality information architecture and UX consulting to enterprise organizations. Through Curious Squid, Dan helps product teams build complex products to align with user needs while meeting business objectives. During the COVID-19 pandemic, he produced the podcast A Lens A Day, conversations about information architecture, and currently co-hosts and produces the podcast Unchecked, the architecture of disinformation. Dan's passion for information architecture is eclipsed only by his passion for board games.LinksDan on LinkedIn: https://www.linkedin.com/in/danmbrown/Dan's podcast, Unchecked: https://unchecked.buzzsprout.com/The IA Conference: https://www.theiaconference.com/CreditsCover design by Raquel Breternitz.

In this conversation, Stephan Livera discusses the RGB protocol with Anant and Federico, exploring its significance in the Bitcoin ecosystem. They explore how RGB enables smart contracts on Bitcoin, the role of stablecoins, user experience, and the efficiency of transactions. The discussion also covers the process of creating and managing assets on RGB, comparisons with other Bitcoin protocols, and the future of the RGB ecosystem. The importance of user adoption and the potential for real-world asset integration, while addressing risks associated with asset issuers is also discussed. Takeaways:

Andreas Rossberg unpacks WASM 3.0, covering new capabilities like garbage collection, exception handling, tail calls, and support for 64-bit addressing with multiple memories. The discussion explores deterministic profiles following relaxed sim, WebAssembly's capability-based security model, and advances in sandboxing and module design. Andreas connects these features to practical use cases in JavaScript engines and applications like Google Sheets, then looks ahead to experimental work on threading, stack switching, and async programming models shaping the next phase of the WebAssembly ecosystem. Links Website: https://people.mpi-sws.org/~rossberg GitHub: https://github.com/rossberg Resources WASM 3.0 Completed: https://webassembly.org/news/2025-09-17-wasm-3.0 Chapters 00:00 Intro – Andreas Rossberg and the WebAssembly 3.0 Update 01:05 The State of WebAssembly Today 02:15 Why WebAssembly Exists Beyond the Web 03:20 From WebAssembly 2.0 to 3.0 – What's Actually New 04:30 Garbage Collection: A Game-Changer for Managed Languages 06:00 The Vision of WebAssembly as a Universal Compilation Target 07:40 How GC Support Unlocks Java, Kotlin, and Dart on WASM 09:10 Expanding to 64-bit Memory – Performance and Limits 10:40 WebAssembly for Databases, AI, and LLMs 12:00 Sandboxing and Security by Design 13:10 How Capabilities and Static Analysis Keep WASM Safe 14:30 Multi-Memory Support and Real-World Use Cases 16:00 Developer Ergonomics vs. Specification Purity 17:20 Tail Calls and Functional Programming Benefits 18:40 Function Tables and Secure Indirection 20:00 Exception Handling Finally Arrives 21:10 Determinism, Efficiency, and Why It Matters for Blockchain 22:30 SIMD and Hardware Divergence Across Platforms 24:00 Balancing Portability with Performance 25:20 The Design Philosophy Behind WebAssembly 26:30 Why WASM Rejects Language-Specific Features 27:40 Proposal Process: Who Decides What Gets In 29:00 Browser Vendors and Implementation Challenges 30:10 Early Deployments: GC, Tooling, and Adoption Stories 31:30 Threads, Stack Switching, and the Future of Concurrency 33:00 Async/Await and Coroutines on WebAssembly 34:30 What's Coming Next for WASM Developers 35:40 How to Get Involved – Working Groups and Proposals 37:00 Closing Thoughts and Thanks We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey (https://t.co/oKVAEXipxu)! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabet.becz@logrocket.com (mailto:elizabeth.becz@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr)

In Part 2 of this engaging conversation with content marketing expert Andy Crestodina, we dive deeper into the evolving world of SEO, AI's growing role in content creation, and the power of collaboration. Andy shares insights on balancing human judgment with AI tools like Surfer SEO, creating successful local events, and leveraging original research to differentiate your brand. Whether you're a solo marketer, business owner, or content strategist, this episode is packed with actionable wisdom and fresh perspectives.

AI Assisted Coding: Agile Meets AI—How to Code Fast Without Breaking Things, With Llewellyn Falco In this BONUS episode we explore the practice of coding with AI—not just the buzzwords, but the real-world experience. Our guest, Llewellyn Falco, has been learning by doing, exploring the space of AI-assisted coding from the experimental and intuitive—what some call vibecoding—to the more structured world of professional, world-class software engineering. This is a conversation for practitioners who want to understand what's actually happening on the ground when we code with AI. Understanding Vibecoding "You can now program without looking at code. When you're in that space, vibecoding is the word we're using to say, we are programming in a way that does not relate to programming last year." The software development landscape shifted dramatically in early 2025. Vibecoding represents a fundamental change in how we create software—programming without constantly looking at the code itself. This approach removes many traditional limitations around technology, language, and device constraints, allowing developers to move seamlessly between different contexts. However, this power comes with responsibility, as developers can now move so fast that traditional safety practices become even more critical. From Concept to Working App in 15 Minutes "We wrote just a markdown page of ‘here's what we want this to look like'. And then we fed that to Claude Code. And 15 minutes later we had a working app on the phone." At the Agile 2025 conference in Denver, Llewellyn participated in a hackathon focused on helping psychologists prevent child abuse. Working with customer Amanda, a psychologist, and data scientist Rachel, the team identified a critical problem: clinicians weren't using the most effective parenting intervention technique because recording 60 micro-interactions in 5 minutes was too difficult and time-consuming. The team's approach embodied lean startup principles turned up to eleven. After understanding the customer's needs through exposition and conversation, they created a simple markdown specification and used Claude Code to generate a working mobile app in just 15 minutes. When Amanda tested it, she was moved to tears—after 20 years of trying to make progress on this problem, she finally had hope. Over three days, the team released 61 iterations, constantly getting feedback and refining the solution. Iterative Development Still Matters When Coding With AI "We need to see things working to know what to deliver next. That's never going to change. Unless you're building something that's already there." The team's success wasn't about writing a complete requirements document upfront. Instead, they delivered a minimal viable product quickly, tested it with real users, and iterated based on feedback. This agile approach proved essential even—or especially—when working with AI. One breakthrough came when Amanda used the number keypad instead of looking at her phone screen. With her full attention on the training video she'd watched hundreds of times, she noticed an interaction she had missed before. At that moment, the team knew they had created real value, regardless of what additional features they might build. Good Engineering Practices Without Looking at Code "We asked it to do good engineering practices, even though we didn't really understand what it was doing. We just sort of say, okay, yeah, that seems sensible." A critical moment came when the code had grown large and complex. Rather than diving into the code themselves, Llewellyn and his partner Lotta asked the AI to refactor the code to make a panel easy to switch before actually making the change. They verified functionality worked through manual testing but never looked at how the refactoring was implemented. This demonstrates that developers can maintain good practices like refactoring and clean architecture even when working at a higher level of abstraction. Key practices for AI-assisted development include: Don't accept AI's default settings—they're based on popularity, not best practices Prime the AI with the practices you want it to use through configuration files Tell AI to be honest and help you avoid mistakes, not just be agreeable Ask for explanations of architecture and evaluate whether approaches make sense Keep important decisions documented in markdown files that can be referenced later “The documentation is now executable. I can turn it into code” "The documentation is now executable. I can turn it into code. If I had to choose between losing my documentation or losing my code, I would keep the docs. I think I could regenerate the code pretty easily." In this new paradigm, documentation takes on new importance—it becomes the specification from which code can be regenerated. The team created and continuously updated markdown files for project context, architecture, and individual features. This practice allowed them to reset AI context when needed while maintaining continuity of their work. The workflow was bidirectional: sometimes they'd write documentation first and have AI generate code; other times they'd build features iteratively and have AI update the documentation. This approach using tools like Super Whisper for voice-to-text made creating and maintaining documentation effortless. Remove Deterministic Tasks from AI "AI is sloppy. It's inconsistent. Everything that can be deterministic—take it out. AI can write that code. But don't make AI do repetitive tasks." A crucial principle emerged: anything that needs to be consistently and repeatedly correct should be automated with traditional code, not left to AI. The team wrote shell scripts for tasks like auto-incrementing version numbers and created git hooks to ensure these scripts ran automatically. They also automated file creation with dates at the top, removing the need for AI to track temporal information. This principle works both ways—deterministic logic should be removed from underneath AI (via scripts and hooks) and from above AI (via orchestration scripts that call AI in loops with verification steps in between). Anti-Patterns to Avoid "The biggest anti-pattern is you're not committing frequently. I really want the ability to drop my context and revert my changes at a moment's notice." The primary anti-pattern when coding with AI is failing to commit frequently to version control. The ability to quickly drop context, revert changes, and start fresh becomes essential when working at this pace. Getting important decisions into documentation files and code into version control enables rapid experimentation without fear of losing work. Other challenges include knowing when to focus on the right risks. The team had to navigate competing priorities—customers wanted certain UX features, but the team identified data collection and storage as the critical unknown risk that needed solving first. This required diplomatic firmness in prioritizing work based on technical risk assessment rather than just user requests. Essential Tools for AI-Assisted Development "If you are using AI by going to a website, that is not what we are talking about here." To work effectively with AI, developers need agentic tools that can interact with files and run programs, not just chat interfaces. Recommended tools include: Claude Code (CLI for file interaction) Windsurf (VS Code-like interface) Cursor (code editor with AI integration) RooCode (alternative option) Super Whisper (voice-to-text transcription for Mac) Most developers working at this level have disabled safety guards, allowing AI to run programs without asking permission each time. While this carries risks, committing frequently to version control provides the safety net needed for rapid experimentation. The Power of Voice Interaction "Most of the time coding now looks like I'm talking. It's almost like Star Trek—you're talking to the computer and then code shows up." Using voice transcription tools like Super Whisper transformed the development experience. Speaking instead of typing not only increased speed but also changed the nature of communication with AI. When speaking, developers naturally provide more context and explanation than when typing, leading to better results from AI systems. This proved especially valuable in a crowded conference room where Super Whisper could filter out background noise and accurately transcribe the speakers' voices. The tool enabled natural, conversational interaction with development tools. Balancing Speed with Safety Over three days, the team released 61 times without comprehensive automated testing, focusing instead on validating user value through manual testing with the actual customer. However, after the hackathon, Llewellyn added automated testing by creating a test plan document through voice dictation, having AI clean it up and expand it, then generating Puppeteer tests and shell scripts to run them—all in about 40 minutes. This demonstrates a pragmatic approach: when exploring and validating with users, manual testing may suffice; but for ongoing maintenance and confidence, automated tests remain valuable and can be generated efficiently with AI assistance. The Future of Software Development "If you want to make something, there could not be a better time than now." The skills required for effective software development are shifting. Understanding how to assess risk, knowing when to commit code, maintaining good engineering practices, and finding creative solutions within system constraints remain critical. What's changing is that these skills are now applied at a higher level of abstraction, with AI handling much of the detailed implementation. The space is evolving rapidly—practices that work today may need adjustment in months. Developers need to continuously experiment, stay current with new tools and models, and develop instincts for working effectively with AI systems. The fundamentals of agile development—rapid iteration, customer feedback, risk assessment, and incremental delivery—matter more than ever. About Llewellyn Falco Llewellyn is an Agile and XP (Extreme Programming) expert with over two decades of experience in Java, OO design, and technical practices like TDD, refactoring, and continuous delivery. He specializes in coaching, teaching, and transforming legacy code through clean code, pair programming, and mob programming. You can link with Llewellyn Falco on LinkedIn.

Christopher Brock, founder of Primary Hosting and Quantum Proof, joins Jeff Bloomfield for a mind-bending conversation on the rise of sovereign AI, post-quantum encryption, and how generative AI is reshaping both business and personal life. As Chief Information Security Officer for the Piqua Shawnee Tribe of Alabama and creator of the 300,000+ member Facebook group AI for Business and Life, Brock bridges ancient wisdom, advanced math, and cutting-edge tech to explore how AI can protect—not exploit—human identity, culture, and data. AI isn't just changing business—it's redefining the boundaries of human intelligence, creativity, and security. Christopher Brock shows us the future where AI meets quantum computing, tribal sovereignty meets technology, and cybersecurity meets consciousness. Whether you're a CEO, creator, or just curious about the next tech revolution, this episode will change how you see data, privacy, and possibility itself. Sovereign AI is about protection—of identity, culture, and innovation, not just efficiency. Quantum computing could crack modern encryption in seconds, forcing an urgent rethinking of cybersecurity. Quantum Proof aims to make data “unhackable” using a new mathematical model that predicts prime numbers. AI and quantum together are “steroids on steroids”—powerful but potentially perilous if not ethically guided. Ransomware-as-a-Service (RaaS) has become an organized dark-web industry with customer support desks. Data harvesting is happening now—hackers store encrypted data today, waiting for quantum tools to unlock it later. The AI learning curve starts with usage—use the tools yourself before delegating to a tech team. LLMs (like ChatGPT, Claude, Grok, Gemini) are modern-day PhDs in your pocket—only valuable if you engage them daily. SEO is dead—AI ranking is here. Businesses must adapt to “AI discoverability” instead of traditional Google search. If you ignore AI, you'll be left behind. Brock says plainly: “Use it—or miss where the world's going.” Time Topic 00:00 Opening banter: building AI platforms and UX importance 03:36 Introduction: Christopher Brock and his work 07:41 Speaking at MIT, launching Quantum Proof 09:21 The rise of AI for Business and Life community (300k+ members) 17:09 Brock's background: from student government to tech startups 23:50 COVID pivot, tribal leadership, and founding Primary Hosting 25:47 The birth of Quantum Proof and post-quantum encryption 28:06 Quantum computing explained (for humans!) 34:58 The math and philosophy behind Brock's new algorithms 35:53 Why today's encryption—and even blockchain—isn't safe 41:19 Ransomware-as-a-Service: the digital mob economy 45:51 How everyday people should start using AI 49:03 Building personalized AI agents and data ecosystems 52:24 The death of SEO and the rise of AI discoverability 54:31 Where to find Chris and what's next in AI & Quantum tech

This week, shares last week's talk from the Value UX Conference, focusing on proper definitions of empathy and the importance of exercising empathy beyond UX's stereotypical norms — not just our external users — and the tremendous impact this approach can have on our work and our teams.REMINDER: Video is available for this episode via select resources. #ux#podcasts#cxofmradio#cxofm#realuxtalk#worldofux#worldoux Bookmark the new World of UX website at https://www.worldoux.com. Visit the UX Uncensored blog at https://uxuncensored.medium.com. Get your specialized UX merchandise at https://www.kaizentees.com.

Sponsored by Auth0 for Startups --> 1-year free https://auth0.com/startups/vipAuth0 is an adaptable authentication and authorization platform that helps you secure your apps and AI agents. It delivers convenience, privacy, and security so you can focus on building a great UX. VC PROFILE:Micahel loffe, Founder of Aristhttps://www.linkedin.com/in/michaelaioffe/

Send us a textHere's a conversation with a seasoned UI/UX designer and design strategist with 20+ years of experience building products used by millions. Her portfolio spans Google, PayPal, CBS Interactive, Fox Broadcasting Company, and Warner Music Group. She leads with empathy and business clarity—using research-driven decisions to ship smart, simple solutions that serve users and goals.We unpack how to turn complexity into clarity: reorganizing information, optimizing workflows, and inventing custom solutions. From information architecture and service blueprints to prototyping and design systems, she shows how to shake out all the moving pieces, surface insights, and connect them into experiences that actually make sense.Beyond pixels, we dive into organizational design. She structures decision-making, alignment, and evolution at scale—bridging product, design, and engineering so thinking, execution, and alignment happen simultaneously. Expect practical frameworks for cross-functional workshops, prioritization, and roadmapping that keep teams moving.If you work in product design, product management, or engineering leadership, this episode is a field guide to enterprise UX, service design, and design ops. We cover discovery to delivery, stakeholder buy-in, metrics that matter, and the habits that ship impactful products repeatedly. Keywords: UI/UX, product design, design systems, service design, information architecture, design strategy, organizational transformation, stakeholder alignment, enterprise UX, design ops.__________Music CreditsIntroEuphoria in the San Gabriel Valley, Yone OGStingerScarlet Fire (Sting), Otis McDonald, YouTube Audio LibraryOutroEuphoria in the San Gabriel Valley, Yone OG__________________My SGV Podcast:Website: www.mysgv.netNewsletter: Beyond the MicPatreon: MySGV Podcastinfo@sgvmasterkey.com

If you're in a UX job search and wondering, “Is it just me, or is UX hiring slower than ever?” you're not imagining it. In this episode, we chat with Heather Cassar, VP of People at Narmie (a fintech startup) who brings 15+ years of experience leading hiring, people strategy, and global team growth at companies like Cash App, Uber, Block, and more. Heather brings first hand experience about what's actually happening in UX and Product hiring, on both the startup and enterprise side.In our conversation, we dig into why companies may take longer to hire, what's changing in how hiring decisions are made, and what UX candidates can do to stand out, even when it feels like you're sending resumes into a void.Whether you're actively applying or quietly watching the market, this episode will give you perspective and relief. Heather breaks down what's happening behind the scenes of hiring pipelines right now and reminds us: just because it's taking longer doesn't mean you're doing it wrong. There are still ways to stand out, you just need a UX job search strategy that reflects the reality of today's job market.Topics discussed:Why it now takes 12+ weeks (or more) to hire for UX rolesWhat's causing hesitation on both sides of the hiring tableHow candidate caution is slowing down the top of the funnelWhy Heather says contract roles are NOT a red flag, and can lead to full-timeWhat hiring managers actually look for in resumes and portfoliosTips for standing out even when the job market feels saturatedThe value of clarity, connection, and showing real outcomesHow to tell your story without overselling or downplaying your experienceTimestamps:00:00 – Intro & about Heather's background00:45 – Why UX hiring feels “wild” right now04:00 – What's slowing down the hiring process from the company side06:30 – The return of more rigorous headcount approval07:15 – Why candidates are hesitant to even take recruiter calls08:30 – The emotional risk of leaving one “meh” job for another09:15 – Are contract roles bad? Heather's surprising take10:30 – Why contract roles aren't a red flag to hiring managers11:30 – What companies actually want to see on a resume12:30 – The importance of storytelling over perfection13:45 – How Heather screens for “intentionality” in candidates15:00 – The challenge of employer branding at smaller companies16:10 – Why “unicorn” job descriptions confuse candidates17:20 – Heather's thoughts on AI-generated portfolios and resumes18:30 – Referrals vs. cold applications: which one matters more?19:45 – Heather's take on design exercises and case studies22:30 – Why clarity + connection beats overly polished language25:15 – Common mistakes candidates make in storytelling28:45 – How to stay confident during a slow job search34:10 – Heather's advice to mid-career UX pros feeling stuck40:25 – Closing thoughts & where to connect with Heather

Episode web page: https://bit.ly/42dkHi0 ----------------------- Episode summary: In this thought-provoking episode of Insights Unlocked, host Lija Hogan sits down with Dr. John Whalen—cognitive scientist, author, and founder of Brilliant Experience—to explore how artificial intelligence is reshaping the way teams conduct customer research. With deep expertise at the intersection of UX and cognitive science, John shares how his team has integrated AI tools like synthetic users, AI moderators, and automated analysis into their research workflows. But rather than replacing human researchers, John makes the case for how AI can accelerate and augment our work, expand inclusivity, and even inspire better human-to-human interviews. He shares practical advice, lessons learned from hands-on experimentation, and the importance of skepticism, context, and strategic thinking when working with AI-powered tools. Whether you're excited or apprehensive about AI, this conversation offers a grounded, insightful look at the future of UX research and how to prepare for it. Key topics discussed: Why human-to-human research still matters in an AI-enhanced world The surprising effectiveness of AI-moderated interviews How synthetic users can support ideation and stakeholder engagement Using AI as a strategic tool for preparing, scaling, and synthesizing research Ethical considerations and the importance of context when interpreting AI-generated insights Future trends: continuous learning, new research workflows, and evolving team roles Why curiosity and prompt engineering are essential skills for modern researchers Episode Links: John Whalen on LinkedIn ( https://www.linkedin.com/in/johnwhalen/) Podcast: AI for UX ( https://bit.ly/ai-for-ux-podcast) Course: AI for Customer Research: https://maven.com/john-whalen/ai-skills-for-research Brilliant Experience website ( https://www.brilliantexperience.com/) Free Synthetic User Resource: https://maven.com/p/4d211a  Book: Design for How People Think https://bit.ly/dfhpt  Lija Hogan on LinkedIn ( https://www.linkedin.com/in/lija-hogan-894769/) Nathan Isaacs on LinkedIn (https://www.linkedin.com/in/nathanisaacs/) Learn more about Insights Unlocked: https://www.usertesting.com/podcast

Today's guest is Sara Wyman, Founder & CEO at Stackpack. Founded in 2023, Stackpack is an AI-powered platform built for Finance, Operations and IT teams that streamlines spend, vendor and contract management. It delivers fast visibility into where money is going, automates contract renewals and approvals, centralizes vendor data and helps reduce waste - all without a heavy implementation burden. Their mission is to connect the world's companies with the right partners, at the right time, on the right terms.Inspired by her experience at high-growth companies where vendor and contract chaos slowed teams down, Sara founded Stackpack to create a true system of record for third-party relationships. Under her leadership, Stackpack has raised significant funding, including a $6.3M seed round, to accelerate its growth. Before launching Stackpack, Sara served as Vice President of Strategic Partnerships and Enterprise Sales at Affirm, and held senior sales leadership roles at Etsy.In this episode, Sara talks about:0:00 Her journey from finance to tech, building marketplaces and founding Stackpack2:13 Stackpack's AI-native platform turning vendor data into cost-saving insights4:06 Streamlining vendor discovery, management, contracts and renewals7:24 Delivering rapid cost savings, visibility and risk reduction10:14 Their small, remote-first team with big-company experience and culture12:19 Advancing their AI assistant by unifying UX and expanding vendor discovery14:59 Hiring in engineering, customer support and go-to-market roles

Miljan is the Founder and CEO of Primal. Bitcoin is an open protocol for money, nostr is an open protocol for speech, Primal brings the power of both into an easy to use interface for everyone.Search Primal in your favorite app store!Miljan on Nostr: https://primal.net/miljanEPISODE: 180BLOCK: 917284PRICE: 842 sats per dollar(00:00) Ten31 retreat(01:02) Retreat impressions and collaboration(01:32) How many bitcoiners(03:01) Estimating self custody users and real audience sizes(05:09) Stalled growth and focusing Primal on Bitcoiners(06:07) Curated "Getting Started" invite packs(09:14) Solving empty feeds: recommendations vs. decentralization(12:02) Improving follow discovery(14:53) Retention over onboarding: first-touch UX matters(16:11) Empowering users with tools, not surveillance models(18:08) Aligning incentives: Primal's user-paid model(19:42) Live streaming on Nostr: open spec meets clean UI(22:20) Not competing with TikTok: high-signal over dopamine(25:06) Platform risk for streamers and Nostr's modular freedom(28:05) Unified chat, zaps, and the magic of interoperable apps(29:25) Nostr's organic growth(31:06) Creators' final destination(34:50) AI in social: open models, features, and roadmap thoughts(41:05) Deepfakes, authenticity, and signed content value(46:02) Keys, key-rotation, and building resilient identity tools(49:28) Practical key management: tradeoffs from phone to multisig(53:12) Closing thoughtsmore info on the show: https://citadeldispatch.comlearn more about me: https://odell.xyz

Omni Talk's Chris Walton and Anne Mezzenga join Groceryshop's Rocquan Lucas and Ben Miller for the official key takeaways session live from the state at Groceryshop 2025, covering the biggest themes, surprising data points, and provocative predictions from the show. In this comprehensive recap session recorded live on the final day of Groceryshop 2025, the panel share and discuss: -The Changing Consumer: Health-conscious shopping reached unprecedented levels at this year's show. Sessions on GLP-1 medications, functional foods, and better-for-you products were packed as retailers and brands grapple with how dietary preferences and wellness trends are reshaping shopping behavior and store formats. Learn why companies like Danone and Chobani are winning with health positioning and how this impacts everything from loyalty programs to main shop destination decisions. -Agentic AI & Trust: AI has moved from hype to practical application. Discover how consumer trust in AI recommendations is evolving, why the shift from SEO to generative engine optimization (GEO) matters, and what it means for investment in earned and shared media over paid channels. Walmart's mission-based homepage and the role of AI in transforming entire customer experiences take center stage. -In-Store Efficiency & Operations: The panel reveals why operational technology delivers the strongest ROI right now. From inventory visibility and shelf intelligence to electronic shelf labels and reducing associate workload, learn which technologies are making stores more productive and why the focus has shifted to backend operations before customer-facing innovations. Digital Demand Creation: Explore the evolution of how brands create awareness and drive purchases through creators, influencers, and content strategies. Understand the balance between planned campaigns and opportunistic viral response, plus why mental availability matters as much as physical availability in today's grocery landscape. -Retail Media Evolution: Enter the “Age of Reckoning” for retail media in grocery. Learn why successful networks must activate both stores and online, move beyond just converting trade spend to capturing brand dollars, and deliver full-funnel experiences rather than just lower-funnel conversion. -Automation Economics & Future Predictions: Ocado CEO Tim Steiner's provocative question sparked debate: Will automated warehouses eventually be cheaper to operate than hypermarkets? The panel discusses this prediction, third-party delivery marketplace dependencies, and whether the industry can afford to be wrong about the future of automation. -Practical Challenges: Technology integration pain points, the need for vendor consolidation, macro-economic headwinds including cautious consumers and declining units, plus the importance of associate tool UX for Gen Z employee retention. -Key Topics: Groceryshop 2025 recap, health-conscious consumer trends, agentic AI adoption, retail media networks, in-store technology, warehouse automation, digital marketing, influencer strategies, operational efficiency, technology integration, workforce technology Subscribe for comprehensive grocery and retail industry insights! Music by hooksounds.com #GroceryShop2025 #AgenticAI #GLP1 #RetailMedia #GroceryTech #HealthConsciousShopping #Automation

What you don't know about artificial intelligence (AI) can really harm you (and your health). Considering there's so much misinformation everywhere you look and AI is a real thing you can't avoid, managing your digital footprint is vital… so where do you begin?Tech consultant and UX researcher Rachel Miles returns to dissect the pros and cons of AI and how it can be a valuable tool so long as you use it properly this week on Spirit Gym.Learn more about Rachel and her expertise in AI and other computing technologies at her Renaissance Rachel and Conscious Navigator websites. Check out Rachel's free AI course — Navigate AI Consciously in 7 Days — at this link.Listen to her Renaissance Rachel podcast on Apple Podcasts or wherever you download them and on YouTube. Order Rachel's ebook, A Conscious Navigator's Guide to AI, here. Find her on social media via Facebook and Instagram.Previous conversation: https://paulchek.com/blog/podcast-episodes/episode-317-rachel-miles-making-technology-work-for-you/ Timestamps9:53 The great equalizer.21:24 Artificial intelligence is no more or less than a large pattern synthesis engine that has been trained on lots of data and is not conscious.31:22 Humans need to stay in the loop on AI development so we don't give it too much power over our lives.41:47 Avoiding AI tools completely and not understanding them make you much you more vulnerable to manipulation.55:48 Did you know AI (or Google) doesn't generate completely accurate information?1:06:21 Bad algorithms and coding lead to biased, non-factual data.1:14:07 It takes a lot of computing power to train AI models.1:23:49 The environmental cost of AI versus the benefits.1:30:20 AI is designed to give you answers and opinions even when it's wrong.ResourcesThe ELIZA effectQualiaFind more resources for this episode on our website.Music Credit: Meet Your Heroes (444Hz), Composed, mixed, mastered and produced by Michael RB Schwartz of Brave Bear MusicThanks to our awesome sponsors:PaleovalleyBIOptimizers US and BIOptimizers UK PAUL15Organifi CHEK20Wild PasturesKorrect SPIRITGYMPique LifeCHEK Institute/CHEK AcademyPaul's Dream Interpretation workshop We may earn commissions from qualifying purchases using affiliate links.

Jim and Leah dive headfirst into a whirlwind chat that covers everything from the fine distinctions between puppets and marionettes to the equally delicate art of building great user experiences. Leah shares her fascinating journey from a Medieval French literature course at Berkeley to leading UX research at companies like Slack, Spotify, Instagram, and Mozilla. Along the way, they tackle why users often don't honestly know what they want, how to avoid building a product no one asked for (looking at you, Juicero), and why good design begins with understanding both people and teams. It's a conversation about people problems disguised as tech problems—with a few detours into bad movie references, car oil changes, and the mythical Trojan horse. Grab your headphones, settle in, and prepare to laugh, learn, and maybe rethink what “user experience” really means.