Podcasts about lovable

Face à la domination des géants américains du numérique, Christofer Ciminelli lance “Le Switch”, une newsletter dédiée aux alternatives européennes. Son objectif : démontrer qu'il est possible de conjuguer performance, souveraineté et pragmatisme.Interview : Christofer Ciminelli, créateur de "Le Switch"PunchlinesIl existe des dizaines de logiciels français, mais on ne les connaît pas.Choisir européen ne suffit pas, il faut que ce soit performant.On peut déjà absorber 80 % de nos usages.En agissant, nous avons plus de pouvoir que le Parlement européen.Pourquoi avoir lancé “Le Switch” ?L'idée est partie d'un constat que je mûris depuis plusieurs mois et qui s'est accéléré avec l'élection de Donald Trump. On a toujours le réflexe d'utiliser des outils américains, que ce soit Google Workspace, Pipedrive ou Adobe. Quand on donne nos datas et notre argent à ces modèles SaaS, on affaiblit l'écosystème tech européen. S'il n'y a pas de marché local, il n'y a pas d'investissement. Et sans investissement, on ne peut pas recruter les meilleurs ingénieurs ni développer des produits compétitifs. C'est un cercle vicieux. Je me suis demandé s'il existait des alternatives européennes. J'ai commencé par les CRM et j'en ai trouvé une trentaine en France. L'offre existe, mais elle est méconnue. “Le Switch” est né pour montrer que ces solutions sont performantes et accessibles.Les alternatives européennes sont-elles vraiment au niveau ?Oui. Je ne parle que d'outils performants. Par exemple, j'utilise désormais Yousign, alternative européenne à DocuSign : c'est moins cher et l'interface est meilleure. Je parle aussi de Noota pour la prise de notes, de Brevo Meetings comme alternative à Calendly, de Lovable pour le développement, de Vivaldi comme navigateur ou encore de Swiss Transfer. Le vrai enjeu n'est pas la performance des outils, mais leur interconnexion. La force des GAFAM, c'est leur écosystème : tout dialogue avec tout. En Europe, on a encore du chemin à faire sur ces connexions API et cette logique de stack cohérente.Quels sont les freins à l'utilisation d'outils européens ?Certains détails manquent encore dans certaines applications. Ce sont les 20 % d'usages qui peuvent faire la différence. Mais si on absorbe déjà 80 % des besoins, c'est un énorme pas. Je constate aussi une vraie prise de conscience dans les grandes entreprises. On parle de plus en plus de dégaffamisation. Dans les appels d'offres, il y a désormais des critères qui valorisent les solutions développées en Europe. Il y a aussi un débat politique avec l'Industrial Accelerator Act, porté notamment par Stéphane Séjourné. Mais au-delà des décisions politiques, nous avons un pouvoir immédiat : flécher nos dépenses vers des acteurs européens.Concrètement, comment "switcher" ?Ça ne prend pas tant de temps. Pour une PME de 30 ou 50 salariés, changer un outil de visio ou de signature électronique est relativement simple. Je conseille de cartographier toute sa stack logicielle. On découvre souvent qu'on paie des outils inutilisés. Ensuite, commencer par les outils périphériques et avancer progressivement vers le cœur du système. Le plus complexe reste la messagerie, notamment Google Workspace, car tout est interconnecté. Mais à un moment, il faut se poser la question sérieusement. Sinon, on ne sortira jamais de cette dépendance.La newsletter Le Switch Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

C&R have fun talking Bday of Dr. Suess! Will the WBC keep the USA chants going? Plus, they take calls (& funny, long stories) about irrational hatred of pro athletes, sparked by Shia LaBeouf!See omnystudio.com/listener for privacy information.

Ce mois-ci, le Grand Débrief explore l'impact de l'intelligence artificielle sur la création vidéo, le cinéma, la musique et le marché du travail. Alors que Seedance affole Hollywood, que le “vibe coding” bouscule les développeurs, les agents autonomes font planer un nouveau risque : celui d'une IA qui agit… On évoque les avancées technologiques, les enjeux éthiques, et des opportunités pour les créateurs et l'industrie. Avec François Sorel (Tech&Co) et Bruno Guglielminetti (Mon Carnet)En partenariat avec Free Pro, le meilleur de Free pour les entreprisesL'IA va-t-elle remplacer les acteurs ? La génération de vidéo par intelligence artificielle a franchi un cap, en février, avec Seedance 2.0, l'outil de ByteDance, capable de produire des séquences ultra réalistes mettant en scène des célébrités… sans leur consentement. Les studios hollywoodiens paniquent pendant qu'en France les doubleurs et tous les professionnels du cinéma s'inquiètent de la vague de l'IA qui arrive. Lien Monde Numérique : Seedance affole Hollywood, Meta veut faire parler les morts Au-delà du scandale, nous évoquons aussi l'autre versant de la révolution de l'IA : l'ouverture d'un nouvel espace créatif, comme l'a été la révolution de l'audio, des home studios aux albums faits“dans une chambre. La vidéo IA permet à de nouveaux talents d'émerger.L'IA va-t-elle remplacer les développeurs ? Après les déclarations de Dario Amodei (Anthropic) et Mustafa Suleyman (Microsoft AI), le débat sur le remplacement des développeurs par l'IA est plus que jamais d'actualité. Dans beaucoup d'entreprises, l'IA écrit-elle déjà le code à la place des humains. Mais méfions-nous des annonces spectaculaires alors que l'adoption réelle semble encore en retrait, selon François Sorel. Décrire une application en langage naturel et laisser l'IA la construire, la corriger, l'améliorer, c'est le “vibe coding”. J'évoque mon expérience avec Lovable et la bascule que cela préfigure : si chacun peut générer son outil sur-mesure, à quoi serviront encore les applications standards et les services SaaS ? Ecouter aussi : Les mots de la tech 2025 : “Vibe coding”Vibe coding : j'ai créé deux applications sans écrire une ligne de codeL'IA va-t-elle devenir de plus en plus autonomeFévrier a été marqué par le phénomène OpenClaw, un agent open source qui peut agir localement sur votre machine, gérer des tâches, manipuler des services et automatiser des workflows. Mais l'autonomie a un prix : erreurs irréversibles, exposition de données, et nécessité d'isoler l'outil sur une machine dédiée, dans environnement cloisonné. C'est l'occasion d'aborder la question de l'alignement des IA, et la perte de lisibilité des modèles à mesure qu'ils gagnent en complexité. Faudrait-il une autorité internationale de supervision, comme pour le nucléaire ?Ecouter aussi : OpenClaw et Moltbook : la nouvelle ère des agents autonomes (Nicolas Guyon, Comptoir IA) Les dessous inquiétants de l'alignement des IA (Frédéric Filloux, Les Echos, Deepnews)Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

There is no shortcut for AI verification, and that's a good thing.  Paul Roetzer and Cathy McPhillips answer 15 questions business leaders continue asking again and again. They unpack why AI output verification has no shortcut, where agent-building tools like Claude Code and Lovable actually stand, and the uncomfortable math behind which roles get disrupted next. Paul explains why enterprises are moving painfully slow even as the technology races ahead, how early adopters are creating burnout by doing the work of entire teams, and why situational awareness is the AI superpower most leaders are missing. 00:00:00 — Intro 00:07:00 — Question #1: Do you need to prompt AI the same way every time? 00:10:59 — Question #2: What problem do custom GPTs actually solve? 00:14:26 — Question #3: Are SaaS providers becoming model agnostic? 00:17:09 — Question #4: Why AI voice and tone change when models update. 00:20:36 — Question #5: AI output validation: why there's no shortcut for verification. 00:23:17 — Question #6: Tools for building AI agents: where to start. 00:26:11 — Question #7: Will knowledge workers face the same AI disruption as developers? 00:29:53 — Question #8: AI burnout: how leaders can prevent it during the AI transition. 00:36:21 — Question #9: Which roles and skills are most at risk from AI? 00:42:03 — Question #10: Traditional BI platforms vs. AI-first reporting systems. 00:45:22 — Question #11: Build vs. buy: AI decision framework for business leaders. 00:48:52 — Question #12: Competitive advantage for AI-forward agencies. 00:52:43 — Question #13: How to tell when someone just copy-pasted from ChatGPT. 00:54:39 — Question #14: Ads in AI platforms: what business users should know. 00:56:42 — Question #15: The one AI superpower every business leader needs. Show Notes: Access the show notes and show links here This episode is brought to you by Google Cloud:  Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. Learn more about Google Cloud here: https://cloud.google.com/   Visit our website Receive our weekly newsletter Join our community: Slack Community LinkedIn Twitter Instagram Facebook YouTube Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy 

Stripe, the programmable financial services company, has signed agreements with investors to provide liquidity to current and former Stripe employees through a tender offer at a $159B (€135B) valuation. While the majority of funds for the tender offer are being provided by investors including Thrive Capital, Coatue, a16z, and others, Stripe will also use a portion of its own capital to repurchase shares. Stripe also published its 2025 annual letter to the Stripe community, detailing a strong year for businesses on Stripe and the internet economy overall. Businesses running on Stripe generated $1.9 trillion in total volume, up 34% from 2024, and equivalent to roughly 1.6% of global GDP. Beyond payments, Stripe's Revenue suite (comprising Stripe Billing, Invoicing, Tax, and more) is on track to hit an annual run rate of $1 billion this year. In the letter, cofounders Patrick and John Collison wrote: "Our programmable financial services now power more than 5 million businesses directly or via platforms, including all of the top AI companies, many of the largest blue-chip companies (90% of the Dow Jones Industrial Average), most of the biggest tech companies (80% of the Nasdaq 100), and a significant fraction of freshly minted startups (25% of all Delaware corporations are now created with Stripe Atlas) […] Stripe remained robustly profitable, allowing us to continue investing heavily in product development (with more than 350 product updates last year) as well as acquisitions. […] All in all, 2025 was a strong year for the internet economy, and we're delighted to see so many of Stripe's customers do so well." Kareem Zaki, partner at Thrive Capital, said: "After a decade of partnership and seeing their work up close, we believe Stripe has built the premiere financial infrastructure stack for the internet economy, relied on by the fastest growing companies for payments, billing, fraud prevention, tax, and more. While their core business has never been stronger, we believe their most transformative chapters are being written right now. We believe Stripe's lead will only expand across the future of money movement due to their leadership in agentic commerce, stablecoins, and more." New businesses on Stripe are scaling at record speed The 2025 cohort of new businesses on Stripe is the highest performing in the company's history. More new companies joined Stripe in 2025 than ever before, with more than half (57%) based outside the US. Businesses in the 2025 cohort grew around 50% faster than the 2024 cohort. The number of companies reaching $10 million ARR within 3 months of launch was double the 2024 count. Companies incorporated via Stripe Atlas are also monetising sooner: in 2025, 20% of Atlas startups charged their first customer within 30 days, up from 8% in 2020. Businesses on Stripe are increasingly global by default Over the last few years, the country-by-country expansion model has melted away. The "domestic market" for a new generation of internet businesses is the internet itself. Nearly every recognisable AI product launched globally by default, including ChatGPT, Claude, Replit, Lovable, Base44, Vercel, Cursor, Midjourney, and many more. Among Stripe businesses with mostly international revenue, 30% of that revenue comes from countries that are neither their home market nor one of the top 10 global economies. "This isn't merely about incremental revenue from a 'long tail' of international users. In many cases, the 'long tail' is much of the dog," the Collisons wrote. Building the economic infrastructure for AI Agentic commerce has moved into a phase of building and real-world experimentation. As with the early internet, the future success of agentic commerce is contingent on universal interoperability. To that end, Stripe has been working with a broad set of partners across AI labs, retailers, and leading ecommerce platforms to lay the groundwork for this generational shift: With OpenAI, Stripe developed the Agentic Comm...

Alexander Embiricos is the Head of Codex at OpenAI, leading the development of the company's flagship AI coding systems that power automated software generation, debugging and developer workflows. Under his leadership, Codex has become one of the most widely adopted AI developer platforms.  AGENDA: 05:13 Will Coding Be Automated? Why AI Could Create More Engineers, Not Fewer 07:17 Do We Need PMs? The "Undefined" Product Role and When It Matters 08:06 The Real AGI Bottleneck: Human Prompting, Validation, and "Too Much Effort" 13:04 Three Phases of Agents: Coding → Computer Use → Productized Workflows 13:52 Enterprise Reality Check: Security, Permissions, and Safe Agentic Browsing 17:57 Is Inference the New Sales and Marketing?  18:49 What % of Codex Was Written by AI? 21:33 Do OpenAI Use AI for Code Review? 23:31 Is there any stickiness to AI coding tools? 28:22 What Does "Winning" Mean at OpenAI? Mission, Competition, and Moats 32:04 The Future UI: Chat or Voice 34:10 Agent-to-Agent Workflows: Designing for Approvals, Compliance, and Automation 35:39 Do Coding Models Have a Data Moat? 36:50 How does Codex View Data: Will They Build Their Own Mercor and Turing? 37:27 How Does Codex View Consumer: Will They Compete with Lovable? 41:56 Benchmarks vs "Vibes": How People Actually Judge Models 42:43 Cursor's Edge and the Case for Building Your Own Models 47:37 Is SaaS Dead? What Still Defends Value (Humans + Systems of Record) 51:28 Talent Wars and Career Advice for New Engineers in the AI Era 01:01:03 Guardrails, the Fully AI-Managed Stack, and a 10-Year Vision for Everyone      

Covino & Rich dive into 'OLD-SCHOOL WHEN 50 HITS!' Tons of participation, as they celebrate a special day for Mr. Rogers & nerds! Plus, 'SHOW-and-TELL,' & Aaron Judge is being argued for, again!See omnystudio.com/listener for privacy information.

Is AI security just "Cloud Security 2.0"? Toni De La Fuente, creator of the open-source tool Prowler, joins Ashish to explain why securing AI workloads requires a fundamentally different approach than traditional cloud infrastructure.We dive deep into the "Shared Responsibility Gap" emerging with managed AI services like AWS Bedrock and OpenAI. Toni spoke about the hidden dangers of default AI architectures, why you should never connect an MCP (Model Context Protocol) directly to a database.We discuss the new AI-driven SDLC, where tools like Claude Code can generate infrastructure but also create massive security blind spots if not monitored.Guest Socials -⁠ ⁠⁠⁠⁠⁠Toni's LinkedinPodcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Security, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security Podcast⁠Questions asked:(00:00) Introduction(02:50) Who is Toni De La Fuente? (Creator of Prowler)(03:50) AI Security vs. Cloud Security: What's the Difference? (07:20) The Shared Responsibility Gap in AI Services (Bedrock, OpenAI) (11:30) The "Fifth Party" Risk: Managed AI Access (13:40) AI Architecture Best Practices: Never Connect MCP to DB Directly (16:40) Prowler's AI Pillars: Generating Dashboards & Detections (22:30) The New SDLC: Securing Code from Claude Code & Lovable (25:30) The "Magic" Trap: Why AI Doesn't Know Your Security Context (28:30) Top 3 Priorities for Security Leaders (Infra, LLM, Shadow AI) (30:40) Future Predictions: Why Predicting 12 Months Out is Impossible

Dans cet épisode d'OVNIs Podcast, Matthieu Stefani reçoit Eric Lacaille, cofondateur de Piston, pour une plongée au cœur d'un marché aussi massif que stratégique : l'ERP. Ensemble, ils explorent comment l'intelligence artificielle rebat les cartes d'un univers dominé par des géants comme SAP ou Oracle. Piston propose une approche radicalement différente : reconstruire l'ERP “from scratch” avec l'IA comme brique fondamentale, afin de connecter données structurées et non structurées et automatiser des processus métiers jusqu'ici lourds, complexes et chronophages .Au fil de la discussion, Eric détaille la vision d'un ERP “agentique” capable de dialoguer en langage naturel, d'optimiser la supply chain, de détecter des pertes de marge ou de générer automatiquement des plans d'action opérationnels . Au-delà de la technologie, l'enjeu est stratégique : permettre à des PME et ETI industrielles de doubler leur performance sans multiplier les équipes, en libérant les collaborateurs des tâches répétitives pour les recentrer sur la valeur et la relation client. Un échange dense et prospectif sur la mutation profonde des logiciels d'entreprise à l'ère de l'IA.[00:00:00] Introduction & anecdote autour du nom “Piston”[00:02:19] Présentation d'Eric Lacaille et des cofondateurs[00:02:42] Qu'est-ce qu'un ERP ? Définition simple et enjeux marché [00:04:04] Les géants historiques : SAP, Oracle, NetSuite, Odoo[00:06:09] Le “débundling” SaaS des 15 dernières années[00:07:26] La vision Piston : ERP agentique construit avec l'IA en primitive[00:08:17] Cas concret : la boulangerie et la marge supply[00:09:52] Pourquoi les ERP traditionnels sont lourds et peu flexibles[00:11:25] Les 3 couches du software : data, logique, interface[00:13:02] L'agentique expliquée simplement (langage naturel → action)[00:14:53] Le problème du voyageur de commerce & optimisation[00:16:07] L'IA au service des experts métier (sans contrainte technique)[00:18:01] Le vrai problème : l'ingestion de données et la bande passante humaine[00:19:01] Stratégie d'entrée : brancher Piston en complément IA[00:21:40] Copilote vs logiciel autonome : changement de paradigme[00:23:22] Pourquoi ne pas développer son propre LLM ?[00:24:29] Surcouche IA vs refonte complète du système[00:25:21] System of record vs system of actions[00:27:02] La puissance d'un écosystème ERP unifié[00:28:10] Lovable, no-code et explosion de productivité[00:31:52] Comment Piston compte exister face aux géants[00:32:01] ERP personnalisable en langage naturel[00:34:03] Personnalisation par utilisateur & adaptation aux workflows[00:35:23] Données structurées vs non structurées[00:36:23] Cas d'usage : notes vocales → bons de commande[00:36:42] Audit automatique des factures fournisseurs[00:38:04] Accélération IA : le vrai tournant 2024-2025[00:38:56] ERP invisible : notifications, validations et agents autonomes[00:39:44] Impact sur l'emploi : automatisation vs montée en valeur[00:41:20] Promesse forte : doubler le chiffre d'affaires à effectif constant[00:44:00] Transformation des métiers supply & relation client[00:47:30] Sécurité, traçabilité et auditabilité des agents[00:50:00] Déploiement en PME/ETI : frictions et adoption terrain[00:53:00] Vision long terme : orchestration d'agents collaboratifs[00:56:00] Le futur des ERP dans 10 ans[00:58:30] Conclusion & ambition de Piston sur le marché mondial

AGENDA: 04:14 Anthropic's $30B Raise at $380B 06:18 Why SaaS Stocks Keep Getting Crushed 18:15 Wall Street's New Religion: AI Replaces Headcount  22:42 The Bear Case for Shopify: What Could Go Wrong? 31:51 Replit and Lovable are Proof Figma Missed Out: Figma; Buy or Sell?  48:42 Stripe Raises at $140BN: Is Stripe Wildly Overvalued or Adyen Undervalued?  54:36 OpenAI Buys OpenClaw 01:06:28 Thrive's $10B Growth Fund 01:09:10 Arif Janmohamed Leaves Lightspeed for New Firm 01:17:12 Workday's Founder Returns as CEO: Will it Work?  01:20:34 Which Founder Returns Next: HubSpot, Twilio, Gitlab? 01:24:03 Is Monday.com a Screaming Buy? 01:28:25 Jason and Harry Bet $200,000  

Europe's in a state of emergency — but when will we all wake up and recognise that?That's the question posed on this week's episode of the Sifted Podcast by Judith Dada, general partner at European VC Visionaries Club, newsletter author, mother and setter-upper of numerous side projects. Judith started her career in venture almost a decade ago at La Famiglia, the Germany-based early-stage investor, which later went on to merge with US megafund General Catalyst. She's now come full circle, joining forces with La Famiglia founding partner (and fellow former Sifted podcast guest) Rob Lacher at Visionaries.  Visionaries' portfolio includes plenty of companies that are on a tear right now — Lovable, Black Forest Labs, N8n, Solve Intelligence and Tandem Health — and their thesis, that Europe is in a fantastic position to shape the next wave of disruption in business, seems more relevant than ever.Amy and Judith sit down to discuss whether legacy SaaS companies can survive in this AI era, why Europe is in “a state of emergency” and what we can do about it, and when Visionaries will raise a new fund.Sign up to Sifted's daily newsletter: https://sifted.eu/newslettersCheck out Judith's newsletter: https://dadalogue.substack.com/This episode was sponsored by HSBC Innovation Banking.

SaaStr 842: The 90/10 Rule for AI Agents: What to Build vs Buy with SaaStr's CEO and CAIO SaaStr's Chief AI Officer, Amelia Lerutte, and SaaStr CEO & Founder Jason Lemkin break down SaaStr's evolving 90/10 rule for AI agents and apps: buy 90% off the shelf, build the 10% you can't find. In this episode, they walk through two recently built tools: an internal AI VP of Marketing and an external-facing customer portal, and share the real trade-offs of deploying vibe coding apps into production. Topics covered: Why we replaced a paid SaaS tool with a vibe-coded app (and what pushed us over the edge) How Claude Cowork changed the game for building more complex apps The role of writing a spec before vibe coding Tackling single sign-on as a non-engineer How we used Cowork to process 150+ customer contracts in hours instead of days Lovable's data on what people are actually vibe coding Maintenance costs and the hidden time suck of custom apps Why zero AI in your product should scare you The "jaw drop" test for SaaS products in 2026 -------------------------------------- Tools & resources mentioned: Replit, Claude Cowork, Clerk, Lovable, Zapier, Salesforce, Monaco

Everything in the AI space is progressing faster than any of us anticipated, and I want to show you exactly how I'm capitalizing on it. Right now, I have 14 AI agents working for me around the clock—not just chatting, but actively building a telehealth company, writing code, and managing marketing projects. In this episode, I'm pulling back the curtain on OpenClaw, a tool that goes far beyond standard chatbots by possessing unlimited memory and the ability to take control of a computer to execute complex, long-form tasks just like a human employee. I will walk you through my exact technical setup, explaining why I run these agents on dedicated hardware like a used M1 Mac Mini rather than my main computer to ensure total security. You'll learn how I manage this digital workforce through Slack, the specific workflows I use to keep my data safe, and the real-world results I'm seeing, including the creation of a HIPAA-compliant platform. I also discuss alternative tools like Lovable.dev and Manus.im for those looking to dip their toes into agent-based workflows. This technology allows you to scale your output as if you had a 50-person team without the massive overhead. If you are ready to understand how autonomous agents can revolutionize your business operations and want a practical blueprint for getting started, you cannot afford to miss this breakdown. Check the show notes for a link to the waitlist for my upcoming beta program where I help you launch your own secure virtual employee.

We're keeping the AI Tools series rolling with Adir Traitel, entrepreneur, product leader, and early adopter of just about every vibe coding tool out there. Adir joins Matt and Moshe to share hard‑won lessons from building real apps with v0, Bolt, Replit, Figma Make, and more, all while running his own startup and consulting on product builds across industries.From his early days in project management and mobile app startups, through work with companies like Moovit and across FinTech, AgTech, and credit scoring, Adir has consistently been the “try it first” person for new build tools. In this episode, he breaks down what these platforms actually do well, where they fall short, and how product managers can use them responsibly for experiments, prototypes, and beyond.Join Matt, Moshe, and Adir as they explore:Adir's journey from PM and founder to heavy user of vibe coding tools in his current startupHis 3-layer view of the ecosystem: AI dev assistants (Cursor, Antigravity, Claude Code), front-end mockup tools (v0, Figma Make), and full‑product builders (Lovable, Base44, Bolt, Replit)V0: where it shines for quickly building functional UIs (like his electricity consumption app) and where it starts to crackLovable: great for sites and simple flows, but not ideal for complex SaaS or CRM‑like productsBolt: fun and fast for concepts, but why it never got him close to productionReplit: stronger agents and capabilities, but weaker UI output and surprising backend defaults that can get very expensive very quicklyFigma Make and Google Stitch: when design quality trumps everything else, especially for SaaS interfacesThe real costs of vibe coding: AI token spend, hosting/pricing traps, and why production economics matter as much as build speedWhat his “dream product” would look like, including multi‑agent environments, better security/privacy, and built‑in QA and CI/CDHow all this is reshaping the product management role, and why curiosity and tool fluency are becoming must‑have skillsAnd much more!Want to connect with Adir or learn more?LinkedIn: https://www.linkedin.com/in/adirtraitel/ Website: https://adirtraitel.com/You can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproduct/Moshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

Quand prototyper ? Quoi prototyper ? Avec quels outils ? On débrief tout ces aspects design ensemble dans ce petit guide du prototypage ! En passant de Figma à Lovable avec un petit détour sur Google Sheets & PowerPoint, découvrez une nouvelle variété de possibilités de prototypage !Découvrez la formation UX France sur https://uxfrance.com ou en prenant directement contact à commercial.uxfrance@gmail.com

In this empowering episode, I'm talking all about embracing your true, authentic self…. quirks, awkward moments, and all. I'm sharing my personal journey of overcoming the pressure to fit in, the fear of being judged, and the exhaustion of trying to be who I thought others wanted me to be.Motherhood can make us feel like we need to blend in, but the truth is: freedom comes when you stop performing and start owning who you really are. When you fully embrace your strengths, even the ones you've labeled as “weird”,  you naturally attract the right friendships, the right community, and the right people into your life.This episode is your reminder that you don't have to put on an act. The real you is more than enough.

***Special thanks to KEEL Radio’s Erin McCarty and Mike Martindale; to Tony Taglavore (shreveportbossierjournal.com) for his excellent 2024 feature story about Larry Ryan, and to Twin Blends: Northwest Louisiana History Hunters’ Facebook page for a few photos in today’s story.  I had the pleasure of working as a part-time announcer for Larry Ryan nearly 50 years ago. During the early 1960’s, Larry Ryan may have heard the phrase “You’re fired!” more times than cartoon’s George Jetson did from his boss, Mr. Spacely. The young radio announcer had bounced around from one radio market to another in search of a few extra dollars per week. This 26-year old disk jockey was offered a $25/week raise to move to Shreveport, Louisiana and begin working the evening shift at Top 40 radio station KEEL 710AM in 1964. For more than 60 years, Shreveport, Bossier City and Ark-La-Tex region have embraced “Lovable” Larry Ryan and his immense radio creativity and talent. Last Friday, Ryan’s most recent Shreveport radio station employer (which played “The Greatest Hits of All Time” oldies format) abruptly advised him and his morning crew that their long-time popular morning show was being canceled. Effective immediately. The FM station was recently acquired by a new owner.  They wanted to go in a different direction with their 6-9AM morning show. Though it had been awhile, Larry Ryan was quite familiar with hearing that line again. Today, Larry Ryan’s first radio station employer in Shreveport brought him back on the air to provide him with a very dignified way to say, “Good bye” to his legions of loyal radio listeners. The final hour of Wednesday’s News/Talk 710 KEEL morning show featuring Erin McCarty and Mike Martindale was filled with tributes to the area’s radio broadcasting legend. Shreveport mayor Tom Arceneaux and Bossier City mayor Tommy Chandler each read proclamations making it “Larry Ryan Day” in both cities (February 11, 2026). How did Iowa native Larry Ryan become so beloved in Shreveport, LA? Larry Ryan is a native of Marshalltown, Iowa – just northeast of Des Moines.  After a one year stint at what is now Northern Iowa University, he joined the Air Force. If he thought it was cold in Iowa during the winter, Larry Ryan found himself stationed in frigid Minot, North Dakota.  That’s when he knew it was time to leave the Air Force and find a real job. He would become a radio announcer (DJ, if you prefer) who worked at stations in Iowa, Arkansas, Alabama, and Virginia prior to receiving an offer to work the evening shift at AM powerhouse KEEL Radio in Shreveport.  Larry reminded listeners today that he also brought along his long-time girlfriend, Suzy. They were married in Marshall, Texas upon his arrival in Shreveport.  More about Suzy Ryan in a bit. Larry Ryan’s evening show became a huge hit with the younger audience. He interacted with callers, had fun doing creative “live” spots for sponsors, and even created funny comedy song features such as “Hide The Booze” (performed to the instrumental version of “The Can-Can Song”). It wasn’t long before Larry Ryan was promoted to become KEEL’s morning show host. The 50,000 watt daytime signal of KEEL AM stretches from Texarkana to the north and southward through northeastern Texas and western and central Louisiana down I-49 to Lafayette. “Lovable” Larry Ryan’s morning show beginning in the mid-1960’s featured Top 40 rock and roll hits along with topics of local interest.  Talented radio newsmen like Ken Booth and Scott Hodges, syndicated commentator Paul Harvey, and a very unlikely local weatherman added more flavor to this increasingly popular show. This morning, Larry recounted that KEEL’s morning newsman Ken Booth did not like being asked to read the weather at the end of his local newscasts.  KEEL’s co-located FM affiliate KMBQ was playing automated reel-to-reel tapes of beautiful music.  Larry quickly grabbed the FM station’s young audio operator named Ralph Montgomery and said, “Get in here!  I want you to come read the weather on the air for me – now!” Ryan introduced his nervous and totally unprepared 6:05AM weather man to KEEL’s massive audience. “And now…the effervescent…Mr. Weather!”  Ralph Montgomery somehow made it through that first weather forecast and won a 50+year radio co-hosting role alongside of Larry Ryan. Mr. Weather’s unique sense of humor always seemed to tickle Larry’s funny bone. It was pure radio magic Larry Ryan & Mr. Weather became the foundation for KEEL’s incredible radio ratings success for the next decade.  KEEL’s morning show captured an unheard-of 50% of the total radio audience as both youngsters and their parents were fans of the show. Larry became KEEL’s program director and hired a number of extremely talented on-air personalities to work at other times of the day.  Howard Clark, Steve Kelly, Tommy Kramer, Ronald F. Montgomery (no relation to Ralph “Mr. Weather” Montgomery) and many others graduated to work at major market radio stations after being mentored by Larry Ryan at KEEL in Shreveport. Producing a top-notch commercial for clients is very important for radio stations. The creative voice and production talents of Larry Ryan and his team of announcers was in high demand for producing effective commercials on behalf of local, regional and national ad agencies. Larry’s wife, Suzy, became involved in selling radio advertising for KEEL.  She possessed a sincere belief in the effectiveness of the station’s primary product – especially her husband’s top-rated radio show.  Suzy remained laser-focused on business and supported Larry’s creative talent behind the microphone.  The duo’s business acumen translated into solid income for their soon-to-be growing family. After Suzy became pregnant with each of the couple’s two children (Corey and Casey), Larry frequently brought Suzy on the air to talk about how she had been feeling.  Their willingness to share such personal details over the air further endeared the couple to thousands of KEEL’s adult listeners. Larry Ryan played sports in high school and brought his love of sports to Shreveport Ryan formed the KEEL “Dirty Dribblers” basketball team and the KEEL “Nasty Nine” softball team.  The basketball team featured a few of the radio announcers but included legitimate sports talent such as former Northwestern State University basketball player-turned-media advertising specialist Al LeGrand.  The KEEL Dirty Dribblers and Nasty Nine softball teams played dozens of fund-raising games against the teachers and coaches at area schools. The goodwill resulting from those charity games served to reinforce the personal bond between the radio station’s listeners and “Lovable” Larry Ryan’s radio team. By 1974, the World Football League had started a new pro football league.  This came a few years after the American Football League had successfully merged with the NFL in 1970. The new WFL franchise located in Houston was already failing in Year #1. Larry Ryan took to the air expressing his firm belief that Shreveport and Bossier City (with about 350,000 residents) was quite capable of supporting the Houston WFL franchise – assuming it could be moved to Shreveport. Within weeks of Ryan’s daily on-air encouragement to local businesses and governmental leaders, the WFL’s Houston Texans (that was their name!) moved the franchise to Shreveport midway through the initial football season. The Shreveport Steamer of the World Football League was born.  A local crowd of more than 21,000 attended the Steamer’s first home game against Memphis in September, 1974.  Though Shreveport’s attendance remained solid, the WFL folded midway through its second season in 1975 under mounting financial pressures. Around this time, Larry and Suzy Ryan were offered a chance to buy another local radio station in Shreveport.  Unlike KEEL’s 50,000 watt signal, local station KBCL’s signal was just 250 watts and operated on a daytime-only frequency. The duo took the plunge anyway. They built a top-notch on-air and sales staff and pursued FCC approval to relocate the radio station onto a frequency with 24-hour capability.  Talented on-air personalities like Randy Davis (who enjoyed a long career in New York City), K.C. Daniels, Howard Jennings Hart, and Larry “Charlie” Monk joined the staff. Current FOX Sports football and basketball broadcaster Tim Brando also worked for Larry Ryan at KBCL prior to moving to a larger radio market and into his future television career. Though this under-powered AM radio station’s ratings were quite impressive, the inability to obtain a 24-hour operating frequency from the FCC, a declining local employment market, and the rise of FM competition forced the Ryans to return to their radio roots in the early 1980’s. Bringing it forward Larry Ryan would work for another 40 years (!) in the Shreveport area at various radio stations. He spent most of the past few decades playing 70’s and 80’s music formats for his faithful listeners. Ralph “Mr. Weather” Montgomery began a career in another field, but his employer allowed him to work early mornings with his long-time partner, too. Long-time friend and sales pro Al LeGrand stuck with Larry, too.  Al provided sports commentary for Ryan’s morning shows and enjoyed participating in some of the on-air hijinks until retiring several years ago. LeGrand built a very successful media advertising agency in Shreveport. Larry’s one-woman dynamo wife, Suzy Ryan, proudly formed her own media advertising agency.  She would (of course) provide sales support for Larry’s successful radio programs.  The Ryans’ two children would also enter the media business after completing their education. Sadly, Larry Ryan’s beloved wife and life partner, Suzy, passed away in 2013.  Larry has (at least until last Friday) continued to work his morning radio show for a local FM station. Interviewed two years ago, Larry Ryan (now in his 80’s) knew that his time behind the microphone would eventually come to an end. In that print interview in 2024, Larry Ryan said, “I’ve done good.  I’ve been nationally recognized, which really doesn’t mean that much other than ego.  That has never been part of my being.  I had fun!” And so have we!  Thank you for six decades of terrific memories, Lovable Larry! The post Celebrating Lovable Larry Ryan’s 60-year Shreveport Radio Career appeared first on SwampSwamiSports.com.

Jamie and Jaeden discuss OpenAI's newly launched coding app, Codex, exploring its features, usability, and how it compares to other tools like Lovable and Claude Code. They delve into the implications for developers and non-developers alike, highlighting the strengths and weaknesses of these AI coding tools.Our Skool Community: https://www.skool.com/aihustleGet the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiWatch on YouTube: https://youtu.be/jJccsERFXmIChapters00:00 Introduction to OpenAI's New Coding App02:47 Exploring the Features of Codex05:47 Comparing Codex with Other Tools09:04 User Experience and Practical Applications12:02 Future of AI Coding Tools

Jamie and Jaeden discuss OpenAI's newly launched coding app, Codex, exploring its features, usability, and how it compares to other tools like Lovable and Claude Code. They delve into the implications for developers and non-developers alike, highlighting the strengths and weaknesses of these AI coding tools.Our Skool Community: https://www.skool.com/aihustleGet the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiWatch on YouTube: https://youtu.be/jJccsERFXmIChapters00:00 Introduction to OpenAI's New Coding App02:47 Exploring the Features of Codex05:47 Comparing Codex with Other Tools09:04 User Experience and Practical Applications12:02 Future of AI Coding Tools See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What if the best product decision is saying “no” to what everyone else is building?In this episode of Supra Insider, Marc Baselga and Ben Erez sit down with Alexander Danilowicz, founder and CEO of Magic Patterns, to unpack why his AI prototyping tool is the only one refusing to add backend features—even when competitors like Lovable, Bolt, and v0 are racing in that direction. Alex explains how focusing exclusively on front-end code leads to higher quality prototyping, why many use cases don't actually need a database, and how product teams at large companies can't risk connecting production data to prototyping tools anyway.They explore what it takes to maintain conviction when investors, customers, and the entire market seem to be moving the opposite way. Alex shares how using your own product daily keeps you honest about what's actually broken, why real user feedback looks different from “fake” feature requests (like “add dark mode”), and how a strong co-founding relationship helps you resist temptation when external pressure mounts.If you're a product leader wrestling with feature requests that don't align with your vision, trying to figure out when to follow the market versus when to trust your gut, or building tools in the AI coding space, this episode is for you.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

How do European startups like Lovable and Black Forest Labs find and hire top tier talent? This week Amy Lewin sits down with VP of talent at European VC Creandum Michelle Coventry, who spends a lot of time advising super fast-scaling companies on how to build out their teams and what, exactly, the scaling playbook should look like in the age of AI. The pair discuss how hiring is changing, what happens when buzzy European companies scale in the US, when exactly startups should bring in senior talent and what founders should know before they set their pay. Read highlights from Creandum's founder compensation report here: https://sifted.eu/articles/founder-salaries-2025/ Sign up to the Sifted daily newsletter: https://sifted.eu/newsletters/

Lazar Jovanovic is a full-time professional vibe coder at Lovable. His job is to build both internal tools and customer-facing products purely using AI, while not having a coding background. In this conversation, he breaks down the tactics, workflows, and framework that let him ship production-quality products using only AI.We discuss:1. Why having no coding background can be an advantage when building with AI2. Why most of your time should go to planning and chat mode, not prompting3. What to do when you get stuck: his 4x4 debugging workflow4. The PRD and Markdown file system that keeps AI agents aligned across complex builds5. Why kicking off four or five parallel prototypes is the best way to clarify your thinking6. Why design skills and taste are going to be the most important skills in the future7. His “genie and three wishes” mental model for making the most of AI's limitations8. How product, engineering, and design roles are converging—and what that means for your career—Brought to you by:Strella—The AI-powered customer research platform: https://strella.io/lennySamsara—Saving lives with AI built for physical operations: https://samsara.com/lennyWorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/getting-paid-to-vibe-code—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Lazar Jovanovic:• X: https://x.com/lakikentaki• LinkedIn: https://www.linkedin.com/in/lazar-jovanovic• YouTube: https://www.youtube.com/@50in50challenge• Starter Story course: https://build.starterstory.com/build/ai-build-accelerator?via=lazar (code LAZAR15 for 15% off)—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 Lazar and professional vibe coding(04:53) What a professional vibe coder actually does day-to-day(09:26) Why non-technical backgrounds can be an advantage(12:24) The importance of self-awareness(14:42) His “genie and three wishes” mental model(17:43) Developing taste and judgment in the age of AI(21:46) The parallel project approach for better outcomes(29:30) Creating dynamic context windows with PRDs(36:56) Why elite vibe coders focus on planning, not coding(44:43) Creating MD files to guide AI development(50:57) Why prototyping still matters(56:50) Why “good enough” is no longer good enough(01:00:53) The future of engineering in an AI world(01:05:14) What to do when you get stuck: his 4x4 debugging workflow(01:14:27) Helping agents learn from their mistakes(01:15:35) Why watching agent output is more important than code(01:19:08) The incredible pace of AI development(01:22:55) Why emotional intelligence will become more valuable(01:28:30) How to become a professional vibe coder(01:30:10) Why building in public is the fastest path to opportunities(01:37:03) Final thoughts on focusing on quality over tech stack—Referenced:• The new AI growth playbook for 2026: How Lovable hit $200M ARR in one year | Elena Verna (Head of Growth): https://www.lennysnewsletter.com/p/the-new-ai-growth-playbook-for-2026-elena-verna• Elena Verna on how B2B growth is changing, product-led growth, product-led sales, why you should go freemium not trial, what features to make free, and much more: https://www.lennysnewsletter.com/p/elena-verna-on-why-every-company• The ultimate guide to product-led sales | Elena Verna: https://www.lennysnewsletter.com/p/the-ultimate-guide-to-product-led• 10 growth tactics that never work | Elena Verna (Amplitude, Miro, Dropbox, SurveyMonkey): https://www.lennysnewsletter.com/p/10-growth-tactics-that-never-work-elena-verna• Lovable: https://lovable.dev• Lovable + Shopify: https://lovable.dev/shopify• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Mobbin: https://mobbin.com• Dribbble: https://dribbble.com• 21st.dev: https://21st.dev• Lovable base prompt generator: https://chatgpt.com/g/g-67e1da2c9c988191b52b61084438e8ee-lovable-base-prompt• Lovable PRD generator: https://chatgpt.com/g/g-67e1e85fbeac8191a69b95c6d5c42ef6-lovable-prd-generator• Felix Haas's newsletter: https://designplusai.com• Bauhaus: https://en.wikipedia.org/wiki/Bauhaus• Glassmorphism: https://www.figma.com/community/plugin/1197106608665398190/glassmorphism• UI style guide: http://uistyle.lovable.app• Cloudflare: https://www.cloudflare.com• Ben Tossell on X: https://x.com/bentossell• 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• Peter Thiel says AI will be ‘worse' for math nerds than for writers: https://www.businessinsider.com/peter-thiel-ai-worse-for-math-professionals-than-writers-2024-4• Andrej Karpathy on X: https://x.com/karpathy• The 100-person AI lab that became Anthropic and Google's secret weapon | Edwin Chen (Surge AI): https://www.lennysnewsletter.com/p/surge-ai-edwin-chen• 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• Slumdog Millionaire: https://www.imdb.com/title/tt1010048—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

Dr. Becky Kennedy is a clinical psychologist, the bestselling author of Good Inside, and the founder of a parenting platform used by millions. Known for her practical, psychology-based approach to parenting, Dr. Becky shares how the same principles that help parents raise resilient children can make you a much more effective leader. In this conversation, she breaks down why all human systems—whether families or companies—operate on the same fundamental principles, and how understanding these dynamics can make you more effective in every relationship.We discuss:1. Why repair—not perfection—defines strong leadership2. Why you need to connect before you correct to build cooperation and trust3. The “most generous interpretation” framework for handling difficult behaviors4. How to correctly set boundaries (vs. making requests)5. The power of “I believe you, and I believe in you”6. What it looks like to be a “sturdy” leader—Brought to you by:Merge—Fast, secure integrations for your products and agents: https://merge.dev/lennyMetaview—The AI platform for recruiting: https://metaview.ai/lennyFramer—Builder better websites faster: https://framer.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/dr-becky-on-the-surprising-overlap—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Dr. Becky Kennedy:• X: https://x.com/GoodInside• LinkedIn: https://www.linkedin.com/in/drbecky• Instagram: https://www.instagram.com/drbeckyatgoodinside• TikTok: https://www.tiktok.com/@drbeckyatgoodinside• Website: https://www.goodinside.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 Dr. Becky Kennedy(05:14) Connecting parenting and leadership(08:40) The power of repair(11:05) Connecting before correcting(17:45) Good Inside framework at work(22:08) The most generous interpretation (MGI)(25:46) Curiosity over judgment(27:07) Understanding behavior change(31:08) What potty training can teach us about workplace behavior(34:40) Naming your intention(35:41) Sturdy leadership(40:52) How to set boundaries well(46:33) The role of leadership and consensus(50:50) The importance of being “locatable”(52:40) A powerful story of betrayal and realization(57:12) Building resilience over happiness(01:00:34) The power of the phrase “I believe you, and I believe in you.”(01:09:08) The Good Inside community and resources(01:16:22) AI corner(01:19:52) Good Inside's mission(01:22:26) Lightning round and final thoughts—Referenced:• Shreyas Doshi on pre-mortems, the LNO framework, the three levels of product work, why most execution problems are strategy problems, and ROI vs. opportunity cost thinking: https://www.lennysnewsletter.com/p/episode-3-shreyas-doshi• Radical Candor: From theory to practice with author Kim Scott: https://www.lennysnewsletter.com/p/radical-candor-from-theory-to-practice• From ChatGPT to Instagram to Uber: The quiet architect behind the world's most popular products | Peter Deng: https://www.lennysnewsletter.com/p/the-quiet-architect-peter-deng• Punch: https://en.wikipedia.org/wiki/Punch_(play)• Figma: https://www.figma.com• Andrew Hogan on LinkedIn: https://www.linkedin.com/in/ahhogan• Replit: https://replit.com• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• Lovable: https://lovable.dev• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (co-founder and CEO): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Claude: https://claude.ai• ChatGPT: https://chatgpt.com• Secrets We Keep on Netflix: https://www.netflix.com/title/81697668• K Pop Demon Hunters on Netflix: https://www.netflix.com/title/81498621• Liberty puzzles: https://libertypuzzles.com—Recommended books:• Radical Candor: Be a Kick-Ass Boss Without Losing Your Humanity: https://www.amazon.com/Radical-Candor-Revised-Kick-Ass-Humanity/dp/1250235375• Good Inside: A Practical Guide to Resilient Parenting Prioritizing Connection Over Correction: https://www.amazon.com/Good-Inside-Guide-Becoming-Parent/dp/0063159481• Leave Me Alone!: A Good Inside Story About Deeply Feeling Kids: https://www.amazon.com/Leave-Me-Alone-Inside-Feeling/dp/1250413117• The Power of Moments: Why Certain Experiences Have Extraordinary Impact: https://www.amazon.com/Power-Moments-Certain-Experiences-Extraordinary/dp/1501147765/• The Messy Middle: Finding Your Way Through the Hardest and Most Crucial Part of Any Bold Venture: https://www.amazon.com/Messy-Middle-Finding-Through-Hardest/dp/0735218072• Creativity, Inc.: Overcoming the Unseen Forces That Stand in the Way of True Inspiration: https://www.amazon.com/Creativity-Inc-Expanded-Overcoming-Inspiration/dp/0593594649—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

David Waldman's weekend assignment for KITM listeners is to review the newly released Trump-Epstein files and copy him with notable highlights before Monday's show. Thank you for your attention to this matter. Lovable rogue Donald K. Trump is suing himself for 10 billion dollars, but don't expect that to teach him a lesson, he'll always be a kind of demented jerk, too. Meghan McCain wants attention… and needs attention also. Trump tacoed on his own taco, backing out of pulling back in Minnesota, now that there are two instances of Alex Petti not pulling a gun on ICE officers, and AI has been effective at making anti-ICE bad guys seem maybe as bad as his bad guys. Meanwhile ICE still gallop through town like drunken rustlers in a western. Someone somewhere for some reason decided to arrest Don Lemon. Pam Bondi took credit for taking out not one but two especially uppity journalists. Judge Patrick J. Schiltz says ICE has violated nearly 100 court orders but cancels the contempt hearing requiring the ICE director's appearance. We know who raided the Fulton County Board of Elections building, who wanted it done, and why… but what about the paperwork? No, it was not Thomas Albus, the German Muppet dubber, but a guy who might be his son, Thomas Albus, the United States Attorney for the eastern District of Missouri, and the official elections persecutor/prosecutor heading into the midterm elections. With only hours to spare, Chuck Schumer resolved the Federal shutdown. Ok, that might be a bit oversimplified. There will be a shut down, but Chuck did good.

Anthropic, which makes the chatbot Claude; Lovable, which makes an AI tool that can create custom software; and xAI, Elon Musk's AI company which makes the chatbot Grok, are hiring in Boston.

MY NEWSLETTER - https://nikolas-newsletter-241a64.beehiiv.com/subscribeJoin me, Nik (https://x.com/CoFoundersNik), as I interview Corey about his journey building a SaaS application, PetDocument, entirely with AI without any prior coding experience.We dive into how he leveraged AI tools like Lovable AI to turn a "fairy tale business idea" into a live, functional platform at petdocument.com, solving a real-world problem for pet owners.Learn about his experience using natural language prompting instead of traditional coding and how he navigated the process from idea to launch in a matter of months.Questions This Episode Answers:• What's your business and how are you using AI?• What is your professional background?• Did you have any prior coding experience?• How did you actually build this SaaS platform?• How long did the entire building process take?Enjoy the conversation!__________________________Love it or hate it, I'd love your feedback.Please fill out this brief survey with your opinion or email me at nik@cofounders.com with your thoughts.__________________________MY NEWSLETTER: https://nikolas-newsletter-241a64.beehiiv.com/subscribeSpotify: https://tinyurl.com/5avyu98yApple: https://tinyurl.com/bdxbr284YouTube: https://tinyurl.com/nikonomicsYT__________________________This week we covered:00:00 Harnessing AI for SaaS Development02:57 Identifying Real-World Problems06:13 Building a Pet Documentation Platform09:07 The Development Process and Tools Used12:02 Leveraging AI for Coding Assistance15:11 Final Thoughts and Future Aspirations

One of the biggest parts of my design practice is knowing which tool to reach for when coding with AI.There are a lot of options and they're changing every week

Day 8 of building my SaaS in public - the technical phase begins!I have a landing page (I can sell) and UI/UX design (I can demo).Now it's time to wire up the functionality and bring this thing to life.What you'll learn:• Why set up a dev environment now (timing matters)• The Demo Account pattern for product-led qualification• Connecting Lovable to GitHub (two-way sync)• Pulling code locally for Cursor/Claude Code development• The bi-directional workflow (Lovable UI + local backend)Tools covered:• Lovable (lovable.dev) - UI/UX design• GitHub (github.com) - Version control• Cursor (cursor.com) - AI-powered code editor• Claude Code - Terminal-based AI codingThe demo account change:Instead of hiding the dashboard behind auth, I converted it to apublic "Demo Account" that anyone can explore. Product-ledqualification - prospects see what they're getting before signing up.

I've spent the past week letting AI agents do my work for me—and honestly? It's been a game-changer. In this episode, I'm diving deep into the world of AI agents and showing you exactly how I'm using them to save weeks of time in my business. If you've been hearing the buzz about AI agents but weren't sure where to start or how they're different from just chatting with ChatGPT, this episode is going to clear everything up. Here's the thing: AI agents aren't just chatbots. They actually DO stuff for you. They build. They research. They create. They solve problems while you move on to other things. And the tools available right now are more accessible than ever—many of them are free or under $20/month. In this episode, I'm covering: → What AI agents actually are and how they differ from traditional AI chatbots → The specific tools I'm using right now: Manus, Lovable.dev, Claude Cowork, Claude Code, Replit, and ChatGPT's agent mode → How I built multiple apps this week alone—a chatbot, a transcript tool, a scheduler, and even a healthcare app for a client—without being a developer → How an agent wrote an entire ebook for me from hours of raw transcripts (saving weeks of work) → Creating custom GPTs that act as specialized agents for tasks like writing Facebook ads, creating content, and more → The future of autonomous agents and why we've barely scratched the surface of what's possible → Real examples: landing pages built in minutes, marketing campaigns rewritten, email systems created, and research done automatically I also asked Claude Opus to brainstorm future agent possibilities, and some of the ideas—like ambient agents that passively observe your work, adversarial agents that stress-test your plans, and dream agents that develop your half-baked ideas—will blow your mind. Whether you're a coach, consultant, business owner, or just someone curious about how AI can actually work FOR you, this episode will give you practical ways to start implementing agents today.

¿Hacer una app sin escribir código?¿Programar sin saber programar?Hasta hace muy poco, esto sonaba a humo. Hoy es una realidad.En este episodio te cuento cómo la inteligencia artificial está cambiando por completo la forma de crear software, permitiendo que cualquier persona —aunque no tenga conocimientos técnicos— pueda construir aplicaciones reales, funcionales y escalables.Hablo de dos herramientas que estoy probando y que muestran claramente hacia dónde va este nuevo paradigma: Lovable y Vibe Code.Qué hacen, cómo funcionan, para qué tipo de proyectos sirven y por qué esto puede ser una oportunidad enorme para emprendedores, creadores y negocios.Si alguna vez tuviste una idea de app y pensaste “esto no es para mí”, este episodio es para vos.

Jason William Johnson, PhD, Founder of SoundStrategist, is driven by two lifelong passions: creating and teaching. Through SoundStrategist, Jason designs AI-powered learning experiences and intelligent coaching systems that blend music, gamification, and experiential learning to drive real skill development and engagement for enterprises and entrepreneur support organizations. We explore Jason's journey as a musician, educator, and business coach, and how he fused those disciplines into an AI-first company. Jason shares his AI for Deep Experts Framework, showing how subject-matter experts can identify an industry pain point, envision a solution, brainstorm with AI, leverage AI tools to build it, and go after high-value impact—turning deep expertise into scalable products and platforms without needing to be technical. He also explains how AI accelerates research and product design, how “vibe coding” enables rapid MVP development, and why focusing on high-value B2B impact creates faster traction with less complexity. — Turn Your Expertise Into Software with Jason W. Johnson Good day, dear listeners. Steve Preda here, the Founder of the Summit OS Group, developing the Summit OS Business Operating System. And my guest today is Jason William Johnson, PhD, the Founder of SoundStrategist. His team designs AI-powered learning experiences and deploys intelligent coaching systems for enterprises and entrepreneur support organizations blending music, gamification, and experiential learning to drive real skill development and engagement. Jason, welcome to the show.  Thanks for having me, Steve.  I’m excited to have you and to learn about how you blend music and learning and all that together. But to start with, I’d like to ask you my favorite question. What is your personal ‘Why’ and how are you manifesting it in your business?  I would say my personal ‘Why’ is creating and teaching. Those are my two passions. So when I was younger, I was always a creative. I did music, writing, and a variety of other things. So I was always been passionate about creating, but I’ve also been passionate about teaching. I've been informally a teacher for my entire adult life—coaching, training. I've also been an actual professor. So through  SoundStrategist, I’m kind of combining those two passions: the passion for teaching and imparting wisdom, along with the passion for creating through music, AI-powered experiences, gamification, and all of those different things. So I'm really in my happy place.Share on X  Yeah, sounds like it. It sounds like you're very excited talking about this. So this is quite an unusual type of business, and I wonder how do you stumbled upon this kind of combination, this portfolio of activities and put them all into a business. How did that come about? So Liam Neeson says, “I have a unique combination of skills,” like in Taken. I guess that's kind of how I came up with SoundStrategist. I've pretty much been in music forever. I've been a musician, songwriter, producer, and rapper since I was a child. My father was a musician, so it was kind of like a genetic skill that I kind of adopted and was cultivated at an early age. So I was always passionate about music. Then got older, grew up, got into business, and really became passionate about training and educating. So I pretty much started off running entrepreneurship centers. My whole career has been in small business and economic development. SoundStrategist was a happy marriage of the two when I realized, oh, I can actually use rap to teach entrepreneurship, to teach leadership skills, and now to teach AI and a variety of other things.Share on X So pretty much it was just that fusion of things. And then when we launched the company, it was around the time ChatGPT came out. So we really wanted to make sure we were building it to be AI-first. At first, we were just using AI in our business operations, but then we started experimenting  with it for client work—like integrating AI-powered coaches in some of the training programs we were running and things like that. And that really proved to be really valuable, because one of the things I learned when I was running programs throughout my career was you always wanted to have the learning side and the coaching side. Because the learning side generalizes the knowledge for everybody and kind of level-sets everybody.Share on X But everybody’s business, or everybody’s situation, is extremely unique, so you need to have that personalized support and assistance. And when we were running programs in the entrepreneurship centers I were running and things like that, we would always have human coaches. AI enabled us to kind of scale coaching for some of the programs we’re building at SoundStrategist through AI. So with me having been a business coach for over 15 years, I knew how to train the AI chatbots. It started off as simple chatbots, and now it's evolved into full agents that use voice and all those other capabilities. But it really started as, let's put some chatbots into some of our courses and some of our programs to kind of reinforce the learning, personalize it, and then it just developed from there. Okay, so there's a lot in there, and I'd like to unpack some of it. When you say use rap to teach, I’m thinking about rap is kind of a form of poetry. So how do you use poetry, or how do you use rap to teach people? Is it more catchy if it is delivered in the form of a rap song? How does it work? So you kind of want to make it catchy. Our philosophy is this: when you listen to it, it should sound like a good song.Share on X Because there’s this real risk of it sounding corny if it's done wrong, right? So we always focus on creating good music first and foremost when we’re creating a music-based lesson. So it should be a good song. It should be something you hear and think, oh, between the chorus and the music, this actually sounds good. But then, the value of music is that once you learn the song, you learn the concept, right? Because once you memorize the song, you memorize the lyrics, which means you memorize the concept. One of the things we also make sure to do is introduce concepts. The best way I could describe this is this, and this might be funny, but I grew up in the nineties, and a lot of rappers talked about selling dr*gs and things like that. I never sold dr*gs in my life. But just by listening to rap music and hearing them introduce those concepts, if I ever decided to go bad, I would have a working theory, right? So the same thing with entrepreneurship, and the same thing with business principles. You can create songs that introduce the concepts in a way where if a person's never done it, they're introduced to the vocabulary.Share on X They’re introduced to the lived experiences. They’re introduced to the core principles. And then they can take that, and then they can go apply it and have a working theory on how to execute in their business. So that’s kind of the philosophy that we took, let’s make it memorable music, but also introduce key vocabulary. Let’s introduce lived experiences. Let’s introduce key concepts so that when people are done listening to the song, they memorize it, they embody it, and they connect with it. Now they have a working theory for whatever the song is about.  And are you using AI to actually write the song?  No, we're not. That’s one of the things we haven’t really integrated on the AI front, because the AI is not good enough to take what’s exactly in my head and turn it into a song. It’s good for somebody who doesn’t have any songwriting capability or musical capability to create something that’s cool. But as a musician, as somebody who writes, you have a vision in your head on how something should sound sonically, and the AI is not good enough to take what’s in my head and put it into a song. Now, what we are using are some of the AI tools like Suno for background music. So at first, we used that to create all our background music for our courses from scratch. We are using some of the AI to help with some of the background music and everything and all of that so that we can have original stuffShare on X as opposed to having to use licensed music from places like Epidemic Sound. So we are using it for like the background music. But for the actual music-based lessons, we're still doing those old school.  Okay, that's pretty good. We are going to dive in a little bit deeper here, but before we go there, I’d like to talk about the framework that you’re bringing to the show. I think we called it the AI for Deep Experts Framework. That's the working title right now, but yeah, we're still finalizing it. But that’s the working title. Yeah.  But the idea—at least the way I'm understanding it—is that if someone has deep domain expertise, AI can be a real accelerator and amplifier of that expertise. Yep.  So people who are listening to this and they have domain expertise and they want to do AI so that they can deliver it to more people, reach more people, create more value, what is the framework? What is the five-step framework to get them there?  Number one: provided that you have deep expertise, you should be able to identify a core pain point in your respective industry that needs solving.Share on X Maybe it’s something that, throughout your career, you wanted to solve, but you weren’t able to get the resources allocated to get it done in your job. Or maybe it required some technical talent and you weren’t a developer, or whatever, right? But you should be able to identify what’s the pain point, a sticking pain point that needs to be solved—and if it's solved, it could really create value for customers. That's just old-school opportunity recognition. Number two: now, the great thing about AI is that you can leverage AI to do a lot of deep research on the problem. So obviously, you're still going to have conversations to better understand the pain point further. You're going to look at your own lived experiences and things like that. But now you can also leverage AI tools—using Perplexity or Claude—to do deep research on a market opportunity. So whether or not you have experience in market research, you can use an AI tool to help identify the total addressable market. You can brainstorm with it to uncover additional pain points, and it help you flesh out your value proposition, your concept statement, and all of those things that are critical to communicating the offering. Because before we transact in money, we always transact in language, right? So pretty much, AI can help you articulate the value proposition, understand the pain point, all of those different things. And then also if you have like deep expertise and you haven't really turned it into a framework, the AI can help you framework it and then develop a workflow to deliver value.Share on X So now you have the framework, you have the market understanding, and all of those different things. AI can even help you think through what the product would look like—the user experience, the workflow, things like that. Now you can use the AI-powered tool to help you build that. You can use something like Lovable. You can use something like Bolt. You could use something like Cursor, all different AI-powered tools. For people who are newer to development and have never done development before, I would recommend something like Lovable or maybe Bolt. But once you get more comfortable and want to make sure you're building production-ready software, then you move to something like Cursor.  Cursor has a large enough context window—the context window is basically the memory of an AI tool. It has a large enough context window to deal with complex codebases. A lot of engineers are using it to build real, production-ready platforms. But for an MVP, Bolt and Lovable are more than good enough. So one of the things I recommend when building with one of these tools is to do what's called a PRD prompt. PRD stands for Product Requirements Document.Share on X For those who aren’t familiar with software development, typically, and this is not even really happening anymore, but traditionally with software development, you would have the product manager create a Product Requirements Document. So this basically outlines the goals of the platform, target audience, core features, database, architecture, technology stack, all of the different things that engineers would need to do in order to build the platform. So you can go to something like Claude, or ChatGPT, and you can say: “Create a PRD prompt for this app idea,” and then give as much detail as possible—the features, how it works, brand colors, all of those different things. Then the AI tool—whether you're using ChatGPT, Claude, or Gemini—will generate your PRD prompt. So it’s going to be like this really, really long prompt. But it’s going to have all of the things that the AI tool, web-building or app-building tool needs to know in order to build the platform. It’s going to have all the specifications. So you copy and paste.  Is this what people call vibe coding?  Yeah, this is vibe coding. But the PRD prompt helps you become more effective at vibe coding because it gives the AI the specifications it needs and the language that it understands to increase the likelihood that you build your platform correctly. Because once you build the PRD prompt, the AI is going to know, okay, this is the database structure. It's going to know whether this is a React app versus a Next.js app. It's going to know, okay, we're building a frontend with Netlify. The stuff that you may not know, the AI will know, and it will build the platform for that. So then you take that prompt, you paste it into Lovable, paste it into Cursor, and then you can kind of get into your vibe coding flow. Don't let the hype fool you, though, because a lot of people will say, “Oh, I built this app in 15 minutes using Lovable.” No—it still requires time. But if you can build a full-stack application in two weeks when it typically takes several months, that’s still like super fast. So pretty much, on average, you can build something in a couple of weeks—especially once you get familiar with the process, you can build something in a couple of weeks. But if this is your first time ever doing this, pay attention to things like when the app debugs and some of the other issues that come up.  Start paying attention because you’re going to learn certain things by doing. As you go through the process, you'll begin to understand things like, okay, this is what an edge function is, this is what a backend is. You’ll start learning these different things as you’re going through the process, right? So you get the platform built. Now the next step is you want to distribute the platform. So obviously, if you’ve been in your industry for a while and you have some expertise, you should have some distribution. You should have some folks in your space who are your ICP that you can kind of start having some customer conversations with and start trying to sell the platform. One of the things that I always recommend is going B2B and selling something for significant valueShare on X as opposed to going B2C and selling a bunch of $19.99 subscriptions. And the reason for that is a couple of different things. Number one, when you have to do a lot of volume, your business model becomes more complicated. And then you have to introduce things to manage that volume. Whereas if you’re selling a solution that’s a five-figure to six-figure offering, like 10 clients, 15 clients, the amount of money that you can get to with less complexity in your business model. So I always say go B2B, at least a five-figure annual offering, because I know most of the offerings that we offer are at least high five figures, low six figures—subscriptions, SaaS licensing, or whatever. And that way it just introduces less complexity to your business model, and it allows you to get as much revenue as possible. And then as you go to market, you’re going to learn. So the learning aspect, you’re going to learn maybe customers want this or this feature. We thought the people were going to use the platform this way, but they’re actually using it this way. So you’re always learning, always evolving, and adjusting the offering. Okay, so let's say I have deep expertise in some area—maybe investment banking or whatever. I want to use AI. I identify an industry pain point that I've addressed or maybe I personally experienced. I visualize a solution, then I brainstorm with ChatGPT or Claude or whatever, figure out what to do, and then I leverage AI tools like Cursor, Lovable, or Bolt. I set the price point. I go B2B. Is this something that, as a subject-matter expert, is efficient for me to do myself because I have the expertise and the vision? Or is it better for me to hire someone to do this?  It depends on what your bandwidth is. I mean, pretty much I’m of the firm belief that like these are skills that you probably want to unlock anyway. So it might be worth going through the process of learning the tools, leveraging them, and everything, and all of that. And that’s kind of how you future-proof yourself. Now, obviously, if you have bandwidth limitations, there are firms and organizations that you could hire, et cetera, et cetera, that can do it for you. Obviously, developers and things like that. But the funny thing about a lot of developers is, even though they're using AI, they're still charging the prices they charged before AI, right? They’re just getting it done faster, and their margins are a lot lower. So you're still going to pay, in a lot of instances, developer pricing for a platform. Those are the things that you have to consider as far as your own personal situation. But me personally, I believe these are skills worth unlocking.Share on X Because one of the things is, if you get very senior in your career—let's say you've been there 15, 16 years, 20 years—we all know there's this point where you either move up to the C-suite or you get caught in upper-middle-management purgatory, where you're kind of in that VP, senior director space, et cetera, et cetera, and you just kind of hover there. At that point, your career moves tend to be lateral—going from one VP role to another VP role, one senior director role to another senior director role, right? At that point, your income potential starts to get limited. So unlocking one of these skills and becoming more entrepreneurial is something I genuinely believe is worth developing personally. And what would you say is the time requirement for someone to get competent in vibe coding?  Three months minimal. You could be pretty solid in three months.  But three months full-time or three months part-time?  Three months part-time.  So three months. That's about 143 working hours in a regular month. So that's basically around 420–430 hours if you were full-time.  If you spend weekends working on your project, learning how to build it, taking notes, and actually going through the process, you can get pretty decent in a couple of months. Now, obviously, there are still levels as you continue and to progress and things like that, but you can get pretty solid in a couple months. Another thing you want to consider is who you're selling to. You obviously wanna make sure that your platform security is really well, is really done. So even if you build it yourself and then you have an engineer do code review, that’s cheaper than having them build it. I think if you spend three months, you can get really good at building solutions for what you need to get done. And then from there, you just get better and better and better and better.  How do I know that, let's say I hire someone in Serbia to do a code review for me? Let's say I learn the vibe coding thing and create the prototype, then I have someone to clean the code. How do I know that they did a good job or not?  You really don’t. You really don’t know until the platform’s in the wild, and it’s like, okay, it’s secure. So there are some things that you can do to check behind people. Let's say you don't have the money to do a full security audit or hire someone specifically for a security review, a developer for security review. One of the things that you can do is you can do multi-agent review. Like you take your codebase, have Claude review it, have OpenAI Codex review it, have a Cursor agent review it. You have multiple agents do a review. Then they kind of check each other’s work, if you will.  They kinda identify things that others may not have identified, so you can get the collective wisdom of those three to be able to be like, “Okay, I need to shore this up. I need to fix this. I need to address that.” That gives you more confidence. It still doesn’t replace a person who has deep expertise and making sure they build secure code, but it will catch common issues, like hard-coding API keys, which is a risk, right? It’ll catch those type of things that typically happen. But let’s say you do have a security, a code review, you could just kind of take that same approach also to check their work. Because they shouldn’t find any major vulnerabilities. The AI agents that come in after it shouldn’t really find any major vulnerabilities if it was like done securely securely. Another thing to consider is that a lot of these tools use Supabase for the backend and database. Supabase also has a built-in security advisor, including an AI security advisor, that points out security issues, performance problems, and configuration errors. So like you do have some AI-powered check and balances to check behind people.Share on X  Interesting. So basically, I can audit their applications, and the AI will check the code and tell me what needs to be improved?  Yeah. And they can make the fixes for you.  Yeah. Wow, that’s amazing. It still sounds a little bit overwhelming. It’s basically a language, a new language to learn, isn’t it?  It’s not really — it’s English. That’s the amazing thing about it—it’s English. I mean, you literally talk to AI in natural language, and it builds stuff for you, which is, if somebody is like, had a idea for a minute, because I mean, pretty much running entrepreneurship centers, I’ve known so many people who’ve had ideas that they were never able to launch or build, and then they see somebody build it later. If you learn these skills, you get to the point where anything that's in your head, you can kind of start bringing it to life in reality.Share on X And even if you've got to bring somebody in to make sure it's secure and production-ready, it's way cheaper than having them build it from scratch. And then another thing that you’ll find also is if you’re able to build something, let’s say you want to turn it into a startup or something, right? It’s a lot easier to bring in a technical co-founder when they don’t got to build the thing from scratch, and then they also see that you were able to build something, they’re able to see your product vision, et cetera, et cetera. It becomes a lot more easier to recruit people who actually have that expertise into the company because you’ve already handled the hard part. You got something and it works. And all they got to do is just come in, make it safe, and make it work better.  Yeah, that is very interesting. It feels analogous to writing a book yourself or having a ghostwriter. Because essentially, you are vibe coding with a ghostwriter, right? You tell the stories, and then the ghostwriter writes the book for you. Probably now you can use  AI to do that. Yep.  But that's a skill. Not everyone has the skill to write it themselves, and then they need to go to the ghostwriter, but still is their book, right?  Yep.  So it sounds a little bit similar. That’s fascinating. So what’s the path to launching an MVP? So let’s say I’m a subject matter expert, and I want to launch an MVP within a few weeks. Is there a path for me to go there?  Once you get good with the platform, once you get comfortable with the tools, yeah. So for example, we're launching an AI platform. It's an AI coaching platform, but it's also a data analytics platform. Basically, it's targeted to entrepreneur support organizations and municipalities supporting small businesses. So on the front end, it's an AI-powered advisor — it's a hotline that people can call 24/7. But on the back end, the municipalities and entrepreneur support organizations get access to analytics from each of those calls. We built this in two weeks. We’re already talking to customers, we’re already having conversations, and all of those things. We literally brought it to market in two weeks. So the thing is, once you kind of get caught up with the tools—and I'm not a developer, I'm not a developer by trade at all. I had a tech startup before, but I was a non-technical founder. I just know how to put together a product. But once you get good with the tools, that's very conceivable. And then you just go out there, and you go in the market, you start having conversations with your ideal customer profile.Share on X As you’re going through that process, you’re learning, okay, maybe this isn’t my ideal customer profile, this is their pain point. Or maybe instead of this being the feature they want, this is the feature they want. And the crazy thing about it is in the past you had to really get that ICP real tight and the feature set real tight because it cost so much money to go back and have to make tweaks and changes and to get it to market in the first place. Now, you can get a new feature added in the afternoon. It allows you to go to market a little bit faster. You don’t have to have the ideal feature set. You don’t have to have the ICP figured out. You get out there, you learn, and then you’re able to iterate a lot faster because the cost of development is super cheap now, and the speed in which like new features can be added or deprecated is a lot faster. So it allows you to go to market a lot faster than in the past.  Okay, I got it. You can do this, you can code. What do you recommend for someone who’s starting out? You mentioned Lovable, Bolt, and then Cursor. Is Cursor like an advanced product?  Cursor’s a little bit more advanced, but if you want to build production-ready software, it's something you're going to eventually have to use. But can you convert from Lovable to Cursor?  Yes, you can. Yep. So what you typically do — and I still do this to this day — is every time I launch a product, I build it in Bolt first. You could use Bolt or Lovable, either one's fine. I use Bolt because Bolt came out first, and that's what I started using. Then Lovable came out like a month later. But I use Bolt. I’ll spin up the idea in Bolt. And the reason I like doing it in Bolt or Lovable is that it's really good at doing two things. It's really good at quickly launching your initial feature set, and then spinning up your backend. Your database — it's really good at that. So I start off in Bolt, then I connect it to a repository.  For those who aren't familiar with GitHub, there's a button in Bolt or Lovable where you can easily connect it to a GitHub repository. So then once I kind of get the app to a point where the basic skeleton is set, then I go into Cursor. Then I pull the repository into Cursor and do the heavy work. The reason Cursor has a learning curve is because there are still some traditional developer things you need to know to spin up a project. Your initial database — it's a lot harder to spin up your initial database and backend in Cursor. It's also harder to identify your initial libraries and all of those things. If you're a developer, it's not difficult. But if you're new, it is. Bolt and Lovable abstract those things out for you. So you start it off in Bolt or Lovable. Basically, since they're limited in their context windows, when you're trying to build something complex, eventually they start making a whole bunch of errors. They basically start getting stup*d. That's when you know it's time to move to Cursor, because Cursor can handle the heavy lifting. So if you build in Bolt or Lovable until it gets stup*d, then you move to Cursor for the heavy lifting.  And then is there a point where Cursor gets stup*d as well? No. Cursor has a couple of different things that allow it to extend its context window, which is his memory. You can put documentation into Cursor. For example, whatever your PRD prompt was, you can save that as a document in Cursor. You can also set rules. One of my rules in Cursor is: I'm not technical, so explain everything in layman's terms. And then as you’re starting to build code, you can save that code or you can point it to that repository. So there's some more flexibility with Cursor as far as managing your context window.Share on X But with Bolt and Lovable, the context window is more limited right now. So I start off in those, and then once I kind of get the skeleton up, then I move to Cursor. And at that point, a lot of the complicated things like spinning up your dev environment and all those things are kind of abstracted out. Then you can just jump in and use it the same way you use Bolt and Lovable. Fantastic. Fantastic. So, Jason, super helpful information for domain experts who want to build an application that will help them promote their product or manifest their ideas in product form. I think that’s super powerful. So if someone would like to learn about SoundStrategist and what SoundStrategist can do for them in terms of learning and experiential products, incorporating music, or building curriculum, or they would just like to connect with you to learn more about what you can do for them, where should they go?  Jason William Johnson, PhD, on LinkedIn, or www.getsoundstrategies.com.  Okay. Well, Jason William Johnson, you are really ahead of the curve, especially connecting this whole idea of vibe coding to people who are subject matter experts and not technical. And you know it because you don't come from a technical background, yet you've mastered it. I’m living it. Everything I’m sharing—this is not like a theoretical framework. I'm living all of this. So everything I’m saying. Super authentic. And especially coming from you—you understand what it's like to not be technical person, learning this, applying this.  So if you'd like to do this, learn more, or maybe have Jason guide you, reach out to him. You can find him on LinkedIn at Jason William Johnson, PhD, or visit www.getsoundstrategies.com. And if you enjoyed this episode, make sure you follow us and subscribe on YouTube, follow us on LinkedIn, and on Apple Podcasts. Because every week I bring a super interesting entrepreneur, subject matter expert, or a combination of the two—like Jason—to the show, who will help you accelerate your journey with frameworks and AI frameworks in that gear. So thank you for coming, Jason, and thank you for listening. Important Links: Jason's LinkedIn Jason's website

Day 6 of building my SaaS in public - and today we're polishing thelanding page to get it ready for launch.AI-generated landing pages look good, but they're not quite ready.There are telltale signs that hurt credibility - and I'm fixing them all.The biggest AI tell? Em-dashes (—). Every AI model is obsessed with them.They're a dead giveaway. Search and destroy.What you'll learn:• How to spot and remove AI "tells" in your copy• Where to add CTAs for maximum conversion• Section-by-section review checklist• How to handle footer links and legal pages• The exact prompt format for Lovable refinementsChanges I made:• Removed all em-dashes• Added CTAs to every section• Simplified How It Works (removed redundant icons)• Made integrations section symmetrical• Fixed testimonial readability• Cleaned up footer links

Day 5 of building my SaaS in public - and today we're designing andbuilding the actual application interface.We have a landing page. Now we need something to SHOW prospects -something they can click through, visualize, and give feedback on.What I built with Lovable:• Dashboard with key metrics and value delivered• Reports showing client, time, and dollar value• Integration management (Outlook, Fathom)• Client list• Settings, account, and billing sectionsThe surprise: Lovable added a billing rate field I didn't ask for.Now the dashboard shows "$4,250 recovered" - not just hours.That's demonstrated ROI. That's how you sell.What you'll learn:• How to scope your V1 (what to include, what to skip)• The prompt framework for app design with AI• Working with AI like a designer (guidelines + creative freedom)• Using your prototype to get feedback from prospects

We're excited to continue our AI Tools series with Yaron Lavie, a veteran product leader with over 25 years of experience in FinTech, InsurTech, and now retail tech at Nexite, where he helps fashion retailers unlock unique in-store data. In this episode, Yaron joins Matt and Moshe to share how he used Base44, an AI-powered, full‑stack vibe coding platform, to take a completely new product idea from concept to a deployed prototype without touching his R&D team.Yaron walks through why traditional approaches like Figma mockups and static visuals weren't enough for the kind of validation he needed, and how he experimented with tools like Gemini, Claude, and ChatGPT before landing on Base44 for an end‑to‑end, fully hosted solution. He explains how Base44's conversational, chat-based builder let him model user personas, flows, and entities, then iteratively refine an interactive analytics dashboard with real (anonymized) data, all inside a time‑boxed, low‑risk experiment that still respected security constraints.Join Matt, Moshe, and Yaron as they explore:Why Yaron needed to validate a new product idea without pulling scarce R&D resources off other prioritiesHow he moved from static mockups to interactive prototypes with real data, and where Gemini helped and fell shortWhat made Base44 stand out versus other vibe coding tools like Lovable: full-stack, hosted, and truly end-to-endThe importance of “context engineering” over simple prompt engineering when building with LLM-based buildersUsing Base44's discussion mode, live preview, and QA test generation to shape the product before committing to codeReal-world limits: hitting a ceiling on UX depth, inflated code, and friction with design systems and engineering standardsHow he transitioned from a Base44 prototype to a ground-up rebuild with the core dev team, using the prototype to generate user storiesPractical pros and cons: integrations, multi-currency support, database control, and when full-stack vibe coding is “good enough”Where Yaron sees vibe coding going next, and how PMs can use it responsibly for experimentation and usability testingAnd much more!Want to connect with Yaron or learn more?LinkedIn: https://il.linkedin.com/in/yaronlavieYou can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproduct/Moshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

Last month the head of design at Lovable, Nad Chishtie, walked us through the portfolio of one of their recent design hires, Matt Sellers.So today's episode is a behind-the-scenes of what it actually takes to create a portfolio that gets you hired at one of today's top startups.He shares some really tactical mental models that I think everyone can benefit from.Some highlights:Why Matt removed 80%+ of his workWhat made Matt's micro copy so effectiveHow Matt built his micro animations in FramerThe finer details of Matt's portfolio and micro-interactionsHow Matt changed his portfolio strategy and why it workedWhat it takes to make your portfolio an experience rather than a cataloga lot moreNad Chishtie's episode

In the first episode of the new Growthmates season — The Creator's Path, Kate Syuma sits down with Nad Chishtie — Head of Design at Lovable, founding designer, and former game developer who has built products used by over 50 million people across Asia.Nad shares his unconventional path — from dropping out of university during the early days of Gmail, to building games, products, and AI-powered tools that lower the barrier to creation. They discuss why rigid systems don't work for curious builders, how being a generalist became an advantage, and why perfectionism holds creators back.This conversation explores AI as a creative playground, not just a productivity tool — and what the future of digital creation looks like when anyone can build without permission.Listen now on Apple, Spotify, and YouTube: https://www.youtube.com/watch?v=SGntQ4Bz9QM&t=264s —

Send us a textDora Palfi is the Co-founder and CEO of imagi, an edtech company reimagining computer science education through creative coding and AI. A Forbes 30 Under 30 honoree, Dora has a background in neuroscience, human-computer interaction, and technology, and is a passionate advocate for equitable access to future-ready skills.Special note: Free access to the Lovable × imagi collaboration has been extended through March 31, giving educators and students more time to explore professional AI tools in real classroom settings.

Zevi Arnovitz is a product manager at Meta with no technical background who has figured out how to build and ship real products using AI. His engineering team at Meta asks him to teach them how he does what he does. In this episode, Zevi breaks down his complete AI workflow that allows non-technical people to build sophisticated products with Cursor.We discuss:1. The complete AI workflow that lets non-technical people build real products in Cursor2. How to use multiple AI models for different tasks (Claude for planning, Gemini for UI)3. Using slash commands to automate prompts4. Zevi's “peer review” technique, which uses different AI models to review each other's code5. Why this might be the best time to be a junior in tech, despite the challenging job market6. How Zevi used AI to prepare for his Meta PM interviews—Brought to you by:10Web—Vibe coding platform as an APIDX—The developer intelligence platform designed by leading researchersFramer—Build better websites faster—Episode transcript: https://www.lennysnewsletter.com/p/the-non-technical-pms-guide-to-building-with-cursor—Archive of all Lenny's Podcast transcripts:https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Zevi Arnovitz• X: https://x.com/ArnovitzZevi• LinkedIn: https://www.linkedin.com/in/zev-arnovitz• Website: https://zeviarnovitz.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 Zevi Arnovitz(04:48) Zevi's background and journey into AI(07:41) Overview of Zevi's AI workflow(14:41) Screenshare: Exploring Zevi's workflow in detail(17:18) Building a feature live: StudyMate app(30:52) Executing the plan with Cursor(38:32) Using multiple AI models for code review(40:40) Personifying AI models(43:37) Peer review process(45:40) The importance of postmortems(51:05) Integrating AI in large companies(53:42) How AI has impacted the PM role(57:02) How to improve AI outputs(58:15) AI-assisted job interviews(01:02:57) Failure corner(01:06:20) Lightning round and final thoughts—Referenced:• Becoming a super IC: Lessons from 12 years as a PM individual contributor | Tal Raviv (Product Lead at Riverside): https://www.lennysnewsletter.com/p/the-super-ic-pm-tal-raviv• Wix: https://www.wix.com• Building AI Apps: From Idea to Viral in 30 Days: https://www.youtube.com/watch?v=j2w4y7pDi8w• Riley Brown on YouTube: https://www.youtube.com/channel/UCMcoud_ZW7cfxeIugBflSBw• Greg Isenberg on YouTube: https://www.youtube.com/@GregIsenberg• Bolt: https://bolt.new• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• Lovable: https://lovable.dev• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (co-founder and CEO): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• StudyMate: https://studymate.live• Dibur2text: https://dibur2text.app• Claude: https://claude.ai• Everyone should be using Claude Code more: https://www.lennysnewsletter.com/p/everyone-should-be-using-claude-code• Bun: https://bun.com• Zustand: https://zustand.docs.pmnd.rs/getting-started/introduction• Cursor: https://cursor.com• 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• Wispr Flow: https://wisprflow.ai• Linear: https://linear.app• Linear's secret to building beloved B2B products | Nan Yu (Head of Product): https://www.lennysnewsletter.com/p/linears-secret-to-building-beloved-b2b-products-nan-yu• Cursor Composer: https://cursor.com/blog/composer• Replit: https://replit.com• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• Base44: https://base44.com• Solo founder, $80M exit, 6 months: The Base44 bootstrapped startup success story | Maor Shlomo: https://www.lennysnewsletter.com/p/the-base44-bootstrapped-startup-success-story-maor-shlomo• v0: https://v0.app• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder & CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Cursor Browser mode: https://cursor.com/docs/agent/browser• Google Antigravity: https://antigravity.google• Grok: https://grok.com• Zapier: https://zapier.com• Airtable: https://www.airtable.com• Build Your Personal PM Productivity System & AI Copilot: https://maven.com/tal-raviv/product-manager-productivity-system• The definitive guide to mastering analytical thinking interviews: https://www.lennysnewsletter.com/p/the-definitive-guide-to-mastering-f81• AI tools are overdelivering: results from our large-scale AI productivity survey: https://www.lennysnewsletter.com/p/ai-tools-are-overdelivering-results-c08• Yaara Asaf on LinkedIn: https://www.linkedin.com/in/yaarasaf• The Pitt on Prime Video: https://www.amazon.com/The-Pitt-Season-1/dp/B0DNRR8QWD• Severance on AppleTV+: https://tv.apple.com/us/show/severance/umc.cmc.1srk2goyh2q2zdxcx605w8vtx• Loom: https://www.loom.com• Cap: https://cap.so• Supercut: https://supercut.ai...References continued at: https://www.lennysnewsletter.com/p/the-non-technical-pms-guide-to-building-with-cursor—Recommended books:• The Fountainhead: https://www.amazon.com/Fountainhead-Ayn-Rand/dp/0451191153• Shoe Dog: A Memoir by the Creator of Nike: https://www.amazon.com/Shoe-Dog-Memoir-Creator-Nike/dp/1501135910• Mindset: The New Psychology of Success: https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/0345472322—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

This week Joe Fier sits down with renowned coach, entrepreneur, and AI enthusiast Krista Mashore. The conversation dives into how Krista transitioned from a background in education and real estate to building a thriving coaching business, leveraging cutting-edge AI tools and innovative event models. Discover practical insights for business growth, creating interactive lead magnets, and redefining the sales process—all while keeping things fun and approachable. Whether you're an entrepreneur looking to scale, a coach eager to boost engagement, or simply curious about using AI to build your brand, this episode delivers actionable strategies and inspiring stories. Topics Discussed Krista's Journey: From teaching to top 1% real estate agent, then launching her own coaching and consulting business. Monthly Virtual Events: The proven process Krista uses for lead generation, qualifying buyers, and selling high-ticket offers through repeatable online events. AI in Business: How Krista integrates AI tools (like custom bots and mind clones) to create interactive experiences, streamline operations, and personalize content. Building Lead Magnets: Why interactive lead magnets (quizzes and custom apps) outperform static downloads in today's market. Optimizing Offers & Event Strategies: Krista's process for continuously refining event offers, bonuses, and pricing to maximize conversions. Tools for Non-Techies: How platforms like Abacus AI, Lovable, Bolt, and Wispr Flow enable anyone (even with zero coding experience!) to build apps and automation by just talking to the computer. Audience Evolution: Challenges and lessons learned as Krista expands her coaching programs beyond real estate into entrepreneurship and AI. The Human Side of AI: Why scaling with AI enhances, rather than replaces, real human connection and accountability in coaching programs. Removing Barriers to Success: Strategies for helping clients build belief in themselves, overcome objections, and achieve their goals with support and accountability. Resources Mentioned Abacus AI: https://abacus.ai Lovable: https://lovable.dev Bolt: https://bolt.new Wispr Flow: https://wisprflow.ai Delphi Mind Clone: https://hustleandflowchart.com/delphi Connect with Krista (don't forget to DM here "BOT" for access to her constraint bot) Website: https://constraint.kristamashore.com YouTube: https://www.youtube.com/@KristaMashoreCoachingInstagram: https://www.instagram.com/kristamashore Facebook: https://www.facebook.com/kristamashore/...

ProductLed 100 - The Solo-Founder Playbook: How to Run a $1M ARR SaaS with 1 person Most founders believe scaling requires a massive headcount, co-founders, and VC funding. They think success is measured by the size of the team, not the efficiency of the revenue. In this episode of the ProductLed 100 series, Wes Bush sits down with Vincent Jong (Founder of Poolside Ventures) and Esben Friis-Jensen (Co-Founder of Userflow) to discuss the emerging era of the "One-Person Company" - businesses designed to generate millions in revenue with just a single operator. Vincent reveals his strategy for building a portfolio of lean, highly profitable SaaS companies like MeetBot. Together with Esben, they break down how AI tools like Lovable and Cursor have removed the technical barrier to entry, why "speed" is the new competitive moat against incumbents like Calendly, and the exact skill sets required to thrive as a solo builder. Whether you are a developer looking to launch your own venture or a founder trying to maximize efficiency, this episode offers a blueprint for building high-revenue, low-headcount businesses that are built to last forever. Key Highlights: 01:36: Why Vincent stopped looking for co-founders and started building alone03:09: The AI Tech Stack: How tools like Lovable and Cursor replace engineering teams06:07: Why building the product is the easy part (and selling is the hard part)13:17: Disrupting a Red Ocean: Why MeetBot entered the crowded scheduling market16:53: The Economics of Infinite Runway: Operating a SaaS for a few hundred dollars a month20:31: Speed vs. Scale: How one-person teams outmaneuver incumbents27:21: The "Launch Early" myth vs. the new bar for MVP quality37:44: Vincent's advice: Don't quit your job. Build on weekends Resources:

There's hundreds of AI tools released every day. Most are garbage. But these AI tools and model updates were the BANGERS that defined the year. So what made our top list? Tune in and find out. Top AI Tools and Releases of 2025 -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Top AI Tools and Releases 2025 ListCriteria for AI Tool Selection 2025Honorable Mentions: AI Tools ExcludedCanva Visual Suite 2.0 Feature ReviewChatGPT Atlas Agentic Browser CapabilitiesChatGPT Deep Research Agent OverviewClaude Code Terminal Coding Agent ExplainedClaude Opus 4.5 Model BenchmarksCursor 2.0 Multi-Agent Code Editor UpdateDeepSeek v3 Open Source AI ModelsGenSpark Multi-Agent Workspace FeaturesGemini 3 Flash Model IntegrationGemini 3 Pro Multimodal Model ReviewGemini Canvas Mode Interactive WorkspaceGPT Image 1.5 Advanced GenerationGPT 5.2 Pro Expert Reasoning AbilitiesLovable AI Full Stack App BuilderManus Super Agent Workflow AutomationChatGPT Pulse Proactive AI Daily BriefingMicrosoft 365 Copilot Agent ModesNano Banana Pro Image Reasoning CapabilitiesNotebook LM Updates: Video & Slides FeaturesPerplexity Comet Agentic Browser AnalysisReplit Agent 3 Cloud App BuilderRunway Gen 4.5 Pro Video GenerationSora 2 OpenAI Video Model InnovationsSuno v5 AI Music Generator ImprovementsGoogle VO 3.1 Flagship Video Model ReviewS/A/B/C/D Tier Ranking of AI ToolsTool of the Year: Notebook LM StudioTimestamps:00:00 "Top AI Tools & Releases"10:16 "Atlas AI Tool Overview"15:21 "Claude Code's Growing Popularity"21:02 "DeepSeek v3: Open AI Model"24:36 "Gemini 3 Flash Dominates AI"30:10 "Canvas Mode & Code Rendering"36:11 "Lovable and Manus Overview"38:47 "Proactive AI and Personalization"46:25 "Perplexity and Comment Advantages"51:30 "Sora: Creative AI Character Tool"53:27 "Suno: AI Music Revolution"01:03:42 "Notebook LM: Tool of 2024"01:07:19 "Start Here: Everyday AI Basics"Keywords:Top AI tools of 2025, AI tools, AI releases, ChatGPT Atlas, ChatGPT Deep Research, Claude Code, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

Get our guide to go from Idea to First Sale in 30 days with AI tools: https://clickhubspot.com/obg Episode 92: What's the quickest way to launch your product and get your first customer using only AI? Maria Gharib (https://uk.linkedin.com/in/maria-gharib-091779b9) sits down with marketing expert Ariel Gonzalez (https://www.linkedin.com/in/ariel-the-magical-marketer/). In this episode, Ariel Gonzalez breaks down a simple, actionable workflow to create and launch a full business using just four AI tools—with proof that you can go from idea to first customer in 30 days. Joined by Maria Gharib , they walk through brainstorming a product, building a business plan, creating a landing page, and generating a pitch deck—showing how tools like Claude, Notion AI, Lovable, and Gamma can turn your brainstorm into a living business in just minutes. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) Building Your Idea Foundation (05:16) Business Plan with Notion AI (07:51) Building Landing Pages with Lovable (11:31) Start Creating: Build Something Now — Mentions: Claude: https://claude.ai/ Notion AI: https://www.notion.com/product/ai Gamma: https://gamma.app/ Lovable: https://lovable.dev/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

Luke Harries is Head of Growth at ElevenLabs, where he leads marketing, product, engineering, and developer experience. ElevenLabs has raised $281M with the latest round pricing the company at a $6.6B valuation. Previously, Luke held roles at PostHog and Microsoft, and is also an angel investor supporting startups like Lovable and Runna. AGENDA:  The $6.6B Growth Engine Behind ElevenLabs Why Luke Said "No" to Investing in ElevenLabs (and Why He Was Wrong) How ElevenLabs Makes a Horizontal Product Strategy Work How to Build Sharded Growth Teams That Actually Scale The 7-Part Launch Playbook That Gets 700K+ Views Per Product The Truth About CAC, Payback, and Performance Marketing in AI SEO Isn't Dead: The Mini-Tool Strategy You Should Steal Kill Your Inbound SDRs—The Case for Voice AI in Sales Why You Don't Need PMs and the Rise of Growth-Led Product Teams    

This bonus AI Operators episode experiments with a skills-focused format inside the AI Daily Brief community, using the New Year's AI resolution program as a live case study. The episode walks through week two's “model mapping” challenge and why building a personal mental map of which models and tools excel at which tasks can be one of the biggest sources of practical AI leverage. It then goes hands-on with a newly vibe-coded Model Map Builder app, covering its use case library, testing workflow, scoring system, and model history views, alongside a candid look at how fast, low-stakes software gets built using tools like Lovable, Claude, and WhisperFlow. The broader takeaway is a shift from thinking about AI usage to continuously translating opportunities into small, living pieces of software, and how that mindset is becoming central to being an effective AI operator in 2026.Link to the model map: https://aidbmodelmap.com/Insanely cheesy theme music: created with Suno

Nine years in. 500 episodes later. Hundreds of CMOs on the mic. A deep well of marketing wisdom for anyone brave enough to draw from it. This milestone episode is a celebration of the bold B2B ideas, experiments, and hard-earned lessons that have filled the show from day one. Thank-you to every marketer who has listened, shared, and dared to try something new because of what they heard here.    Recorded live at the 2025 Super Huddle, Drew's conversations with Udi Ledergor, Denise Persson and Chris Degnan, and Carilu Dietrich anchor this milestone episode.  In this episode:  Udi shares how Gong pulled off a Super Bowl spot on a regional budget, aimed it at VPs of Sales, and tracked impact in traffic, conversations, and pipeline.  Denise and Chris explain how a CMO and CRO stayed aligned through four CEOs at Snowflake and evolved the story from "cloud data warehouse" to "data cloud," all in lockstep.  Carilu shows how Lovable is building a movement with real users as influencers, a CEO who lives on social, and a speed-first mindset tuned to the pace of AI and customer buzz.  Plus:  Why a "crazy ideas" budget creates room for standout plays that still satisfy the CFO  How empathy for sales and shared ownership of the number strengthen CRO-CMO alignment  How CEO-led social, customer stories, and edutainment power modern B2B brands  What it takes to move at AI speed while keeping product value and customer love at the center If you want a concentrated hit of CMO-level courage, alignment, and playmaking, this milestone episode is your highlight reel.  For full show notes and transcripts, visit https://renegademarketing.com/podcasts/ To learn more about CMO Huddles, visit https://cmohuddles.com/

- Ready to churn less and win more?

In today's episode, Elizabeth sits down with Amber Rae, bestselling author and speaker, to explore what happens when we choose safety over truth and the cost of staying in relationships that no longer align. Amber opens up about her experience in a sexless marriage, the fear of disappointing others, and the moment she realized love and safety are not the same thing. She shares how meeting her now husband became a catalyst for radical honesty and forced her to confront long buried wounds around intimacy, self worth, and abandonment.They dive into why so many women stay in “good enough” lives, how contrast reveals what is truly out of alignment, and what it means to take a trust fall toward growth instead of comfort. Amber also reflects on nervous system regulation, learning how to feel rather than fix emotions, becoming a mother, and how writing her memoir Lovable became an act of self liberation.Follow Amber RaeWebsite: https://amberrae.com/Instagram: https://www.instagram.com/heyamberrae/Follow usInstagram: https://www.instagram.com/thewellnessprocesspodTikTok: https://www.tiktok.com/@thewellnessprocessYouTube: https://www.youtube.com/@TheWellnessProcessProduced by Dear MediaSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Jason Lemkin is the founder of SaaStr, the world's largest community for software founders, and a veteran SaaS investor who has deployed over $200 million into B2B startups. After his last salesperson quit, Jason made a radical decision: replace his entire go-to-market team with AI agents. What started as an experiment has transformed into a new operating model, where 20 AI agents managed by just 1.2 humans now do the work previously handled by a team of 10 SDRs and AEs. In this conversation, Jason shares his hands-on experience implementing AI to run his sales org, including what works, what doesn't, and how the GTM landscape is quickly being transformed.We discuss:1. How AI is fundamentally changing the sales function2. Why most SDRs and BDRs will be “extinct” within a year3. What Jason is observing across his portfolio about AI adoption in GTM4. How to become “hyper-employable” in the age of AI5. The specific AI tools and tactics he's using that have been working best6. Practical frameworks for integrating AI into your sales motion without losing what works7. Jason's 2026 predictions on where SaaS and GTM are heading next—Brought to you by:DX—The developer intelligence platform designed by leading researchersVercel—Your collaborative AI assistant to design, iterate, and scale full-stack applications for the webDatadog—Now home to Eppo, the leading experimentation and feature flagging platform—Transcript: https://www.lennysnewsletter.com/p/we-replaced-our-sales-team-with-20-ai-agents—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/182902716/my-biggest-takeaways-from-this-conversation—Where to find Jason Lemkin:• X: https://x.com/jasonlk• LinkedIn: https://www.linkedin.com/in/jasonmlemkin• Website: https://www.saastr.com• Substack: https://substack.com/@cloud—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 Jason Lemkin(04:36) What SaaStr does(07:13) AI's impact on sales teams(10:11) How SaaStr's AI agents work and their performance(14:18) How go-to-market is changing in the AI era(19:19) The future of SDRs, BDRs, and AEs in sales(22:03) Why leadership roles are safe(23:43) How to be in the 20% who thrive in the AI sales future(28:40) Why you shouldn't build your own AI tools(30:10) Specific AI agents and their applications(36:40) Challenges and learnings in AI deployment(42:11) Making AI-generated emails good (not just acceptable)(47:31) When humans still beat AI in sales(52:39) An overview of SaaStr's org(53:50) The role of human oversight in AI operations(58:37) Advice for salespeople and founders in the AI era(01:05:40) Forward-deployed engineers(01:08:08) What's changing and what's staying the same in sales(01:16:21) Why AI is creating more work, not less(01:19:32) Why Jason says these are magical times(01:25:25) The "incognito mode test" for finding AI opportunities(01:27:19) The impact of AI on jobs(01:30:18) Lightning round and final thoughts—Referenced:• Building a world-class sales org | Jason Lemkin (SaaStr): https://www.lennysnewsletter.com/p/building-a-world-class-sales-org• SaaStr Annual: https://www.saastrannual.com• Delphi: https://www.delphi.ai/saastr/talk• Amelia Lerutte on LinkedIn: https://www.linkedin.com/in/amelialerutte/• Vercel: https://vercel.com• What world-class GTM looks like in 2026 | Jeanne DeWitt Grosser (Vercel, Stripe, Google): https://www.lennysnewsletter.com/p/what-the-best-gtm-teams-do-differently• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Replit: https://replit.com• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• ElevenLabs: https://elevenlabs.io• The exact AI playbook (using MCPs, custom GPTs, Granola) that saved ElevenLabs $100k+ and helps them ship daily | Luke Harries (Head of Growth): https://www.lennysnewsletter.com/p/the-ai-marketing-stack• Bolt: https://bolt.new• Lovable: https://lovable.dev• Harvey: https://www.harvey.ai• Samsara: https://www.samsara.com/products/platform/ai-samsara-intelligence• UiPath: https://www.uipath.com• Denise Dresser on LinkedIn: https://www.linkedin.com/in/denisedresser• Agentforce: https://www.salesforce.com/form/agentforce• SaaStr's AI Agent Playbook: https://saastr.ai/agents• Brian Halligan on LinkedIn: https://www.linkedin.com/in/brianhalligan• Brian Halligan's AI: https://www.delphi.ai/minds/bhalligan• Sierra: https://sierra.ai• Fin: https://fin.ai• Deccan: https://www.deccan.ai• Artisan: https://www.artisan.co• Qualified: https://www.qualified.com• Claude: https://claude.ai• HubSpot: https://www.hubspot.com• Gamma: https://gamma.app• Sam Blond on LinkedIn: https://www.linkedin.com/in/sam-blond-791026b• Brex: https://www.brex.com• Outreach: https://www.outreach.io• Gong: https://www.gong.io• Salesloft: https://www.salesloft.com• Mixmax: https://www.mixmax.com• “Sell the alpha, not the feature”: The enterprise sales playbook for $1M to $10M ARR | Jen Abel: https://www.lennysnewsletter.com/p/the-enterprise-sales-playbook-1m-to-10m-arr• Clay: https://www.clay.com• Owner: https://www.owner.com• Momentum: https://www.momentum.io• Attention: https://www.attention.com• Granola: https://www.granola.ai• Behind the founder: Marc Benioff: https://www.lennysnewsletter.com/p/behind-the-founder-marc-benioff• Palantir: https://www.palantir.com• Databricks: https://www.databricks.com• Garry Tan on LinkedIn: https://www.linkedin.com/in/garrytan• Rippling: https://www.rippling.com• Cursor: https://cursor.com• 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• The new AI growth playbook for 2026: How Lovable hit $200M ARR in one year | Elena Verna (Head of Growth): https://www.lennysnewsletter.com/p/the-new-ai-growth-playbook-for-2026-elena-verna• Pluribus on AppleTV+: https://tv.apple.com/us/show/pluribus/umc.cmc.37axgovs2yozlyh3c2cmwzlza• Sora: https://openai.com/sora• Reve: https://app.reve.com• Everything That Breaks on the Way to $1B ARR, with Mailchimp Co-Founder Ben Chestnut: https://www.saastr.com/everything-that-breaks-on-the-way-to-1b-arr-with-mailchimp-co-founder-ben-chestnut/• The Revenue Playbook: Rippling's Top 3 Growth Tactics at Scale, with Rippling CRO Matt Plank: https://www.youtube.com/watch?v=h3eYtzBpjRw• 10 contrarian leadership truths every leader needs to hear | Matt MacInnis (Rippling): https://www.lennysnewsletter.com/p/10-contrarian-leadership-truths—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

Lovable CEO Anton Osika joins the AI Daily Brief to unpack how AI-assisted coding evolved from early GitHub experiments into load-bearing infrastructure inside companies, why 2025 marked the inflection point for vibe coding, and why 2026 will belong to builders who can think, plan, and ship with AI end to end. The conversation covers the shift from prototypes to production, how enterprises are rethinking workflows and SaaS, the rise of personal and ephemeral software, and what skills will actually matter as AI takes on more of the mechanics of building. Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? sponsors@aidailybrief.ai