Podcasts about gpts

„Wir müssen einfach mal machen und weniger diskutieren.“ Frederic Bauerfeind, Gründer von We Build A.I., bringt es auf den Punkt: Wenn es um den Einsatz von Künstlicher Intelligenz in Unternehmen geht, scheitert es oft nicht an der Technik – sondern am Mut, loszulegen. In dieser Folge treffen sich Frederic und Michael Schön zum Deep Dive rund um Mythen, Missverständnisse und Machbarkeit von KI im Unternehmensalltag. Die beiden kennen sich erst seit Kurzem – und merken schnell: „Wir stolpern über die gleichen Themen – nur aus unterschiedlichen Richtungen.“ Dabei geht's nicht nur um technische Systeme, sondern um Führungsversagen, Veränderungsangst und fehlende Orientierung im KI-Dschungel: „Viele Unternehmen bauen gerade eigene GPTs – aber niemand fragt: Warum eigentlich?“ Frederic räumt mit Buzzwords und LinkedIn-Geschwurbel auf und bringt echten Praxisfokus ins Gespräch. Warum Datenschutz kein echtes Hindernis ist. Wie man Copilot sinnvoll nutzt. Und warum viele erst einmal „Hausaufgaben machen müssen“, bevor KI überhaupt Sinn ergibt.

Most teams are stuck in tool obsession: "Should we build agents?" "Should we buy this AI platform?" In this solo, workshop-style episode, host Susan Diaz pulls you back to reality with a simple decision guide: buy vs bolt-on vs build, four leadership filters, and a practical workflow exercise to help you choose the right approach - without falling for agentic fantasies. Episode summary Susan opens with a pattern she's seeing everywhere: 75% of AI conversations revolve around tools - agents, platforms, add-ons - and they're often framed as all-or-nothing decisions. She reframes it: AI is best understood as robotic process automation for the human mind, not a single agent replacing a person or a department. This episode is structured like a mini workshop. Susan asks you to grab paper and map a real workflow step-by-step - because the decision isn't "which AI tool is hot" it's what job are we automating. Then she defines the three choices leaders actually have: Buy: purchase an off-the-shelf solution that works as-is. Build: create something custom (apps, integrated experiences, models). Bolt-on: the underrated middle path - use tools you already have (enterprise LLMs, suites), then add custom GPTs/projects, prompt templates, and lightweight automations. She introduces a six-level "ladder" from better prompts → templates → custom GPTs/projects → workflow automation → integrated systems → custom builds, and offers a gut-check on whether your "agentic dreams" match your organizational capacity. Key takeaways Start with the job-to-be-done, not the tool. The most common mistake is choosing tech before defining the workflow. A workflow is simply a chain of small tasks with clear verbs and steps. AI is RPA for your brain. Think "Jarvis" more than "replacement." It's about removing repetitive noise while keeping human judgement, discernment, and creativity in the lead. Buy vs Build vs Bolt-on: Buy when you need reliability, guardrails, enterprise support, and the use case is common (summaries, note-taking, analytics). Build when the workflow is your differentiation, data is proprietary, outcomes are strategic, and you can support ongoing maintenance and governance. Bolt-on for most teams: fast, cheaper, easier to change. Start by layering custom GPTs/projects and lightweight automation on top of existing tools and licences. Six levels of maturity (a ladder, not a leap): Better prompts (one-off help) Templates / prompt libraries (repeatable help) Custom GPTs / projects (consistent behaviour + knowledge) Workflow automation (handoffs between steps) Integrated systems (data + permissions + governance) Custom builds (strategic + resourced) Four decision filters for leaders: A) Repeatable workflow or one-off? B) Is the value in the tech itself, or in how you apply it? C) Data sensitivity and risk level? (enterprise controls matter) D) Do you have operating maturity to run it? (monitoring, owners, governance, feedback loops) Automation ≠ autopilot. Automation is great. Autopilot is abdication. If you ship first-draft AI output without review, you'll get "garbage in, garbage out" reputational risk. A simple friction-mapping exercise: Map a 10-step workflow (open, check, find, copy, rewrite, compare, ask someone, format, send, follow up). Circle the friction steps. Label each friction point: R = repeatable J = judgement-heavy D = data-sensitive Then choose: buy / bolt-on / build based on what dominates. Reality check for "agentic dreams": Before building: Do you have a documented workflow? Do you have a human owner reviewing weekly? Do you have a feedback loop? If not, you're building a liability, not a system. The real bet isn't build vs buy. It's this: "What repeatable work needs a personalised tool right now?" Episode highlights [00:02] Why most AI conversations are tool-obsessed (agents, platforms, add-ons). [01:50] "RPA for the human mind" + the Jarvis analogy. [04:14] Workshop setup: buy vs bolt-on vs build + decision filters. [05:15] Step 1: define the job-to-be-done (not the department). [08:13] The 10-step workflow template (open → follow up). [10:49] Definitions: buying AI vs building AI vs bolt-on AI. [14:13] The ladder: prompts → templates → custom GPTs → automation → integrated systems → builds. [16:42] Filter A: repeatable vs one-off (and why repeatable is bolt-on territory). [18:27] Filter C: data sensitivity and enterprise-grade controls. [19:45] Filter D: operating maturity—where agentic dreams go to die. [20:08] Automation vs autopilot (autopilot = abdication). [21:24] Circle friction points + label R/J/D to decide. [25:42] Reality check: documented workflow, owner, feedback loop. [26:33] The takeaway: personalised tools for repeatable work beat agent fantasies.   Try the exercise from this episode with your team this week: Pick one recurring, annoying-but-important job. Map it in 10 simple steps. Circle friction points and label R / J / D. Decide: buy, bolt-on, or build—and write: "For this workflow, we will ___ because the biggest constraint is ___."   Connect with Susan Diaz on LinkedIn to get a conversation started.   Agile teams move fast. Grab our 10 AI Deep Research Prompts to see how proven frameworks can unlock clarity in hours, not months. Find the prompt pack here.  

Host Susan Diaz sits down with her business buddy and go-to-market consultant Suzanne Huber to talk about what AI has actually changed in marketing. Together they explore AI as "robot arms" (an extension of expertise), why first-draft AI content gets a bad rap, how modern marketers use AI for research, planning, editing, and proposals, and why thought leadership and personal brand matter more than ever. Episode summary Susan and Suzanne have been talking about AI since 2022. In this episode, they make it official. Suzanne introduces a metaphor that sticks: AI as "robot arms". You're still the driver. AI can extend your reach, speed up the grunt work, and help you close expertise gaps—but it still needs human judgment, critical thinking, and craft. They compare marketing before vs after AI: headlines, research, applying feedback, simplifying complex plans into executive-friendly formats, cross-checking sources (especially Canadian vs US), and building repeatable workflows with custom GPTs. They also tackle the bigger questions: Does expertise still matter? Is personal brand becoming more important in the age of AI? What should writers do if they feel threatened? Spoiler: AI can speed up output. But insight, values, differentiation, and taste are still the human edge.   Key takeaways AI is "robot arms" not a replacement brain. It's an extension of expertise. You still need to steer, evaluate quality, and avoid publishing raw first drafts that can damage trust. First-draft AI is the content factory problem. AI-assisted content gets a bad reputation when junior-level or high-volume systems publish credible-sounding fluff with no real subject matter expertise behind it. Craftsmanship still matters. Marketing got faster because the grunt work collapsed. Headlines, rewrites, reformatting, applying feedback, outlining, and turning long documents into charts/tables can happen in minutes - not hours. You still refine, but you're starting from a better baseline. Research and fact-checking changed dramatically. Instead of trawling search results for hours (and getting US-default sources), AI tools can surface targeted sources fast - then humans choose what's credible and relevant. Custom GPTs shine for repeatable processes. Susan shares how she uses custom GPTs (including MyShowrunner.com) for guest research, interview questions, emails, and packaged deep research briefs - turning recurring work into reusable systems. Expertise always matters - especially for positioning and thought leadership. Differentiation, values, hot takes, and human intuition are what attract the right people (and repel the wrong ones). AI can assist, but it can't replace lived POV. Personal brand matters more in the age of AI. As audiences get more suspicious of generic content and AI avatars, trust increasingly attaches to real humans with visible ideas, proof, and consistency. For writers who feel threatened: use it or get outpaced. AI can accelerate production for factual formats (press releases, timely content). Writers who combine craft + AI + fast learning become the force multipliers. But journaling/introspective writing still belongs to the human-only zone. Episode highlights [01:29] Suzanne's "robot arms" metaphor: AI as an extension of expertise. [02:47] Why first-draft AI should never leave your desk. [03:56] The telltale signs of lazy AI writing (and why it gets a bad rap). [05:00] Before vs after AI: the research + writing process changes. [07:24] Simplifying complex work: plans → tables → charts for execs. [09:10] Deep research for Canadian sources without wasting hours. [10:25] Custom GPT workflows (MyShowrunner + research briefs). [12:29] Where expertise still matters in an AI-saturated world. [16:56] Personal brand: attracting the right people + repelling the wrong ones. [20:00] AI for proposals and even pricing guidance. [22:00] Advice for writers who feel threatened by AI. If you've been resisting AI because you're worried it will erase your craft, try this reframing: Use AI for the grunt work. Keep the human parts for the parts that build trust: taste, judgement, voice, and values. And if you want a simple starting point, ask yourself: What could use "robot arms" in your marketing workflow this week - headlines, research, rewrites, proposals, or planning? Connect with Susan Diaz on LinkedIn to get a conversation started.   Agile teams move fast. Grab our 10 AI Deep Research Prompts to see how proven frameworks can unlock clarity in hours, not months. Find the prompt pack here.   Connect with Suzanne Huber on LinkedIn.   

Freelancers are giving away their most valuable AI insights, and not getting paid for it. In today's episode, we're taking a hard look at one of the biggest blind spots for freelance writers and content pros right now: the failure to package your AI knowledge into a paid offer. Your clients want to use AI. They're trying. But they're confused, overwhelmed, and scared of doing it wrong. And guess what? You already have the skills and experience to guide them. But unless you turn that informal help into a structured service, it's just free advice that goes nowhere. In this episode, we're going to fix that. What You'll Learn Why most freelance writers are leaving serious money on the table when it comes to AI The three types of AI helpers, and why only one gets paid what they're worth How to package your AI knowledge into a sellable offer (with real examples) The "three blockers" that keep most freelancers from monetizing their AI skills What happens after you package your AI services, and how to push through impostor syndrome Key Ideas & Takeaways The real constraint is implementation confidence within your clients' teams. Everyone has the tools. What they don't have is the confidence to use them well. They're worried about brand voice, risk, reputation, and wasting time. That's where you come in. But clients won't pay you for casual tips. They'll pay for structured guidance. The 3 Types of AI Help The Informal Helper (Invisible Labor) · You're answering AI questions and offering tips for free · No structure, no price, no perceived value The AI-Enabled Doer (Efficient But Undervalued) You use AI to deliver better work faster, but you're still billing for output, not insight Clients don't see the "how," just the deliverable The AI Implementation Partner (Where the Money Is) You guide teams, build workflows, train staff, and solve real problems This is a packaged consulting offer, and it can command $5K–$10K+ fees The 3 Packaging Blockers (And How to Overcome Them) Blocker 1: "I don't know enough" Reality: You don't need to be an expert, just more knowledgeable than your clients Action: Write down 10 AI lessons you've learned the hard way. Your first offer is likely somewhere in there Blocker 2: "I don't know what to sell" Reality: Your offer is hiding in your inbox and client conversations. Extract it from the questions clients already ask Action: Track every AI-related client question over the next 30 days. Your next offer is in there Blocker 3: "I don't know how to price it" Reality: You're not selling outputs, you're selling transformation Action: Anchor your pricing to the outcomes and risk reduction you create The Anatomy of a Packaged AI Service Every successful offer has four parts: The Constraint You're Managing Examples: "I help marketing teams adopt AI without destroying their brand voice." "I implement AI systems legal will approve." "I guide consultants through using AI to mine insights from their internal data." The Deliverables & Process Week 1: Audit Weeks 2–3: Build custom GPTs, create systems Week 4: Train team, hand off playbook The Timeline 3–4 weeks is ideal. Clear start, clear end. The Outcome/Transformation Examples: "You'll get an AI-powered content workflow that triples output without sacrificing quality." "You'll eliminate brand voice inconsistencies in AI-generated content." "You'll get your team onboard with AI confidently and safely." What Happens After You Package It You'll doubt yourself. That's normal You'll stumble through the first pitch You'll realize you know more than you thought Clients will love your structure more than your brilliance You don't need to be the best AI expert. You just need to be the one your client trusts. And you need to take those first few steps in faith, trusting that the path will appear as you move forward. Listener Challenge Take action this week: List 10 things you've learned from using AI in your freelance work Track any AI-related questions your clients ask Package what you already know into a 3–4 week offer Pitch it to one person Start small. Start now. That's how real momentum builds. Want Help Packaging Your Own AI Service? If this episode sparked ideas, I'm running a half-day, 1-on-1 workshop plus a 3-week coaching sprint to help you package their AI knowledge into premium consulting services. No spots open at the moment, but I may open some spots in January or February. If you'd like to work with me privately on this, shoot me an email (ed at b2blauncher dot com) with "AI Consultant Accelerator" in the subject line, and I'll reply with the details. Enjoyed this episode? Subscribe wherever you get your podcasts Leave a review to help more freelancers discover the show Share it with a friend who's sitting on unmonetized AI skills

NOTE: This was recorded in late October 2025AI is already inside the tools you use. Waiting it out is no longer an option.In this episode, I speak with Karen Sutherland, author of Artificial Intelligence for Strategic Communication, who, at the time of the recording, was fresh from a Marketing AI Conference in the US.We cut through the noise and talk about how PR and comms teams are actually using AI day to day, what works, what breaks, and where people are getting it wrong.This is not about replacing people or chasing shiny tools. It is about saving time on the work you hate, protecting quality, and building skills your team will still need in five years.If you run an agency or work in-house and feel stuck between curiosity and fear around AI, this episode gives you a clear place to start.We coverWhy AI agents change how work gets done, not just how fastThe real risk for junior staff and how to avoid hollow skillsHow teams are using custom GPTs to speed up reporting without sounding genericA simple framework for integrating AI safely and sensibly into comms workMap your tasks before touching tools. Start with repetitive work that drains time, not creative judgment.Use AI as a first draft assistant, then edit like a professional. Quality control becomes a real job, not an afterthought.Train AI on your own writing and reports so outputs sound like you, not the internet.Regularly check whether AI is saving time and protecting standards, not just pushing content out faster.DescriptionPractical takeawaysGUESTKaren Sutherland - Senior Lecturer, Public Relations, University of the Sunshine CoastLOCATION: Sunshine Coast, AustraliaBook: Artificial Intelligence for Strategic Communication by Karen E. SutherlandNEW TO PR?- Check out the new podcast 'Getting A Job In PR' - https://gettingajobinpr.comSUBSCRIBE- Video and Audio links here - https://thepublicrelationspodcast.com/listen/Or search for "The Public Relations Podcast" on all good podcast appsCONNECT WITH ME- LinkedIn - https://www.linkedin.com/in/richard-midson/- Website and newsletter - https://thepublicrelationspodcast.com/- 'Getting A Job In PR' - https://gettingajobinpr.comFUTURE GUESTS- Check out: https://thepublicrelationspodcast.com/one-sheet/

R. Kenner French shares practical, real-world guidance on how small business owners can begin using artificial intelligence—even without a large budget or technical background. The discussion is sparked by a conversation with a client who runs a lean business with no employees and only a contractor overseas, yet wants to strategically deploy AI to grow and stay competitive. Kenner emphasizes that AI adoption is no longer optional and that starting small, consistently, and intentionally can produce meaningful results over time.At a foundational level, Kenner recommends dedicating at least one hour per day to learning and using AI. This investment doesn't need to be complex or expensive—it could involve the business owner or a virtual assistant experimenting with tools like ChatGPT to support daily operations. To reinforce accountability and leadership, he suggests organizing a local AI meetup, where the business owner leads discussions within their industry. This not only forces deeper learning but positions the individual as a local authority on AI, expanding influence, visibility, and professional credibility.Kenner also encourages business owners to engage with the broader AI ecosystem by attending industry conferences such as AI4 or similar events. With consistent learning—approximately 20 hours per month—a small business owner can quickly outpace many so-called “experts” in the field. These events create opportunities to network, collaborate, and potentially even speak on panels in the future. Kenner underscores that Vast Solutions Group's expertise in AI is built on years of hands-on experience, dating back to their proprietary AI model, Einstein, launched in 2018.On the practical side, Kenner advises using AI tools—starting with ChatGPT Plus—for decision-making across the business. By building a strong knowledge base that reflects the company's history, goals, and constraints, business owners can ask AI for strategic input on marketing, operations, sales, and growth. He also highlights the value of client-facing AI tools, such as chatbots and specialized GPTs for marketing, sales, HR, or customer service, which can improve responsiveness and efficiency without adding staff.Ultimately, Kenner delivers a clear warning and opportunity: businesses that fail to adopt AI will struggle, not because AI replaces them directly, but because competitors who use AI will move faster, smarter, and more efficiently. AI tools are affordable, increasingly powerful, and accessible to nearly any business owner willing to invest time and curiosity. He concludes by encouraging listeners to leverage resources, including their website, community, and weekly AI-focused podcast segments, to stay ahead in an AI-driven business landscape.Takeaways• Spend at least one hour a day on AI.• Engage with your community through AI discussions.• Attend AI conferences to network and learn.• Use AI for decision-making in your business.• Implement a chatbot to enhance customer interaction.• AI is essential for staying competitive in business.• Invest time in learning about AI technologies.• AI tools are becoming more affordable.• Join community resources for ongoing AI education.• Position yourself as an industry leader through AI knowledge.Sound Bites• Spend at least one hour a day on AI.• AI models are getting cheaper over time.• Invest time in learning about AI.Listen & Subscribe for More:

Bienvenidos a FailAgain, una newsletter / podcast sobre crear contenido y estrategia.Hoy es un día raro para mí. Y probablemente para ti también después de leer esto.Te recomiendo que escuches la versión extendida en formato pódcast de este contenido.Voy a anunciar una formación sobre inteligencia artificial. Y antes de que cierres esta newsletter pensando “otro curso de IA más”, dame dos minutos. Porque esto no va de lo que crees.No voy a venderte prompts mágicos. No voy a prometerte que automatices tu vida. No voy a enseñarte a producir más contenido en menos tiempo.De hecho, voy a decirte algo que probablemente nadie más te está diciendo: producir más contenido puede ser exactamente lo que te está jodiendo.Hace unos días estaba en una de esas llamadas eternas con Víctor Millán, mi compañero en Haciendo Cosas. De esas llamadas donde hablas de la vida, de proyectos, de frustraciones... y de repente surge algo.Estábamos comentando cómo cada uno trabajamos con nuestras herramientas de IA. ChatGPT, Claude, Gemini... Y en un momento dado, Víctor me explica un caso de uso que tiene montado y me quedé flipando.No era nada del otro mundo técnicamente. Pero la forma en que lo había pensado, la estructura, el criterio detrás... eso sí que era diferencial.Y ahí saltó la pregunta: ¿Por qué nadie enseña esto?Todo el mundo está enseñando a usar ChatGPT. Pero nadie está enseñando a pensar por encima de ChatGPT.Y eso es un problema. Porque mientras tú aprendes a pedirle cosas bonitas a la IA, estás perdiendo algo mucho más valioso: tu voz, tu criterio, tu forma única de pensar.Hemos hablado en episodios anteriores del SLOP. Ese contenido basura que se está generando de forma masiva. Contenido sin sustancia, sin criterio, que existe simplemente por existir.No me gusta admitirlo, pero la mayoría de gente que usa IA está creando SLOP sin darse cuenta.Porque cuando le das a la IA control total sobre tu contenido, cuando simplemente le pides que “escriba un post sobre X” o “crea un vídeo sobre Y”... estás generando contenido genérico.Contenido que suena como el de otras 500 personas que han hecho exactamente lo mismo.Contenido que no resuena. Que no crece. Que te hace invisible.Y lo peor es que no es culpa de la herramienta. La culpa es del enfoque.Estamos usando las herramientas más potentes que han existido nunca como si fueran máquinas expendedoras: metes prompt, sale contenido. Siguiente.Pero las herramientas no son el problema. El problema es que nadie nos ha enseñado a usarlas con criterio.Ahí es donde entra “Más Listo que la IA”.Esta es la formación que Víctor y yo hemos creado. Pero no es un curso de IA. La premisa es simple: tienes que ser más listo que la IA.Tienes que colocarte un peldaño por encima de ella. Como un director de orquesta.La IA es increíble ejecutando. Pero si no hay criterio detrás, solo estás fabricando ruido.Porque ahora mismo, la forma más rápida de volverte invisible es usar IA como todo el mundo.Y aquí está la oportunidad: si aprendes a usarla con criterio ahora, te vas a diferenciar masivamente del resto.¿Qué vas a encontrar en Más Listo que la IA?6 módulos donde nos ves trabajar en tiempo real. Sin diapositivas. Sin teoría abstracta. Viendo exactamente cómo usamos ChatGPT, Claude, Gemini y Perplexity en nuestros proyectos reales.Módulo 1 - Hackeando ChatGPT: Configuraciones PRO, memoria, proyectos, GPTs. Cómo montamos nuestros asistentes. Y un par de trucos para ahorrarte los 240€ anuales de su plan de pago.Módulo 2 - Claude, la IA bohemia: Por qué seduce a tanta gente. Sus limitaciones. Cómo combinarla con otras IAs.Módulo 3 - Gemini y Notebook LM (disponible enero-febrero 2026): La suite de Google descifrada. Todo lo que te da gratis. Y la locura de Notebook que puede sustituir cualquier app de segundo cerebro.Módulo 4 - Perplexity, la navaja suiza (disponible enero-febrero 2026): Empezó como buscador, ahora es mucho más. Cómo configurarla para que no envidie a ninguna otra IA.Módulo 5 - Gestión de archivos con IA (disponible enero-febrero 2026): La pieza que hace que todo funcione. Sin duda mi sesión favorita.Módulo 6 - Soberanía intelectual (disponible enero-febrero 2026): Cómo construir tu archivo de activos IA. Independencia para migrar de plataforma cuando quieras. Control total sobre lo que has creado.Más 3 playgrounds donde llevamos la IA al límite: comparativas entre modelos, conectores y agentes, casos prácticos aplicados (IA en lanzamientos, IA en WordPress, generación de imágenes con consistencia visual...).Todo esto suma más de 6 horas de grabación. Pero no son 6 horas de rollo. Está segmentado en bloques para que vayas al grano o lo veas del tirón si quieres explorar.Te llevas todos los GPTs, todas las instrucciones, todo el kit de herramientas que mostramos.Y acceso de por vida. Todas las actualizaciones futuras incluidas.¿Para quién NO es esta formación?* Si quieres automatizar todo y desaparecer, esto no es para ti.* Si buscas “trucos virales” o “prompts mágicos”, tampoco.* Si piensas que la IA va a hacer tu trabajo por ti, te vas a decepcionar.¿Para quién SÍ es?* Si eres creador, consultor, profesional que trabaja con ideas.* Si quieres usar IA pero sin perder tu voz.* Si quieres ser más eficiente, pero no a costa de volverte genérico.* Si estás harto de pagar suscripciones que no aprovechas.* Si quieres construir un sistema de trabajo con IA que funcione para ti, no para la herramienta.El precio:* Ahora mismo: 149€* El 22 de diciembre sube a 189€* Después subirá al precio final de 249€* Cuanto antes entres, menos pagas. Es un pago único, no suscripción.Toda la info está en maslistoquelaia.comPero más allá del curso, déjame decirte algo:El futuro que nos espera en cuestión de meses es contenido generado 100% con IA. Ya está pasando. Y va a ir a más.La pregunta no es si vas a usar IA. La pregunta es si vas a usarla con criterio o sin él.Porque usar IA sin criterio te lleva a crear contenido que suena hueco, que no te hace crecer, que te hace reemplazable.Y en un mundo donde todo el mundo puede producir contenido infinito con IA, la única forma de destacar es tener algo que la IA no puede dar: tu criterio, tu perspectiva única, tu voz.Esto es lo que intentamos enseñar en Más Listo que la IA.No es un curso más de IA. Es una forma diferente de pensar sobre ella.Si te interesa, nos vemos dentro: maslistoquelaia.comSi no te interesa, igualmente te espero la semana que viene con el episodio habitual sobre estrategia de contenido.Un abrazo.P.D.: Si tienes dudas, la landing tiene una sección de FAQs bastante completa (y graciosa). Y si aun así no resuelves tus dudas, responde a este email. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.guitermo.com

En este episodio de Marketing Sin Filtro, nos sentamos con Cristina Peñaloza (Profesora del IE Business School) para destapar la realidad: Cómo la educación tradicional está colapsando, la falta de disciplina en la educación online y el peligro de tratar a la IA como un "Dios Digital”.¿Crees que estás a salvo de ser reemplazado? Escucha esto antes de responder.☕️ Acompaña este episodio con Café Granell: https://cafesgranell.esYa disponible los sabores de otoño.Pruébalos con un 10% de descuento usando el código SINFILTRO10 al hacer tu pedido.⏰ Minutos (00:00) – Intro(01:05) – Perfil de Cristina Peñaloza profe del IE(02:53) – Cómo enseñar IA a la Generación Z vs. Adultos(04:38) – Qué pasa cuando se cae ChatGPT(05:04) – El fin del bloqueo creativo(06:00) – Cómo evaluar alumnos hoy(07:24) – La crisis de retención en Cursos Online(08:15) – Estrategias para disciplina digital(09:37) – Duolingo: ¿Gamificación o aprendizaje real?(10:35) – Micro-learning vs. Clases de 200 horas(11:39) – ¿Vale la pena pagar una Universidad?(14:35) – El miedo a perder el empleo por la IA(15:53) – Hype vs. Realidad: La IA no es un botón mágico(17:15) – La Singularidad y el “Dios Digital”(18:18) – Configura tu propio “Ghostwriter” con GPTs(19:54) – El peligro de automatizar contenido(22:36) – Creación de dashboards e informes visuales(24:00) – Libro: “Cuando la Inteligencia Artificial se une al equipo de Marketing”(24:40) – La IA como el “nuevo pasante” del equipo

Hey Community Family, in today's episode Kristina is joined by the powerhouse Monique Bryan. She is an AI consultant and personal brand strategist!In this conversation she is walking us through what it looks like to have a human-first AI approach that truly amplifies your strategy and brand, not washes it out.Monique unpacks how AI tools like ChatGPT and Perplexity became her thought partners, helping her scale content, analyze market data, and brainstorm like never before. But she doesn't stop there, she is also breaking down how to actually train AI to sound and think more like YOU, inject your personality and business goals into your prompts, and create custom GPTs that act like team members.You'll also learn why AI doesn't replace human connection, but it can actually amplify it. If you've ever wondered:How do I actually use ChatGPT better?What are some AI tools that are worth trying?How do I keep my brand voice strong in an AI-generated world?Will AI replace personal branding?This is the episode for you.Connect with Monique:Instagram: moniquebryan_coWebsiteMarketing Team in a DayMentioned in the Episode:GammaNotebook LMHow To Rank On ChatGPT with Kelsey ReidlTake our quiz!Send me a text!Support the showFor Your Information: • Host your podcast on Buzzsprout! •Join The High Vibe Women Online Community! • Join our favourite scheduling platform Later • FLODESK Affiliate Code | 25% off your first year! Don't forget to come say hi to us on Instagram @thesocialsnippet, join the Weekly Snippet or follow us on any social media platform! Website . Instagram . Facebook . Linkedin

Ready to stop wearing all the hats in your solo business?In 2026, AI integration will be as common as using your smartphone.But if you're a solo business owner who feels behind or overwhelmed by all the new tools, you're not alone.In this episode, I break down how to use AI and why strategy, simplicity, and your authentic voice are the keys to growth in the next wave of online business.What You'll Discover in This EpisodeMy top 3 predictions for 2026 and how they affect solo entrepreneursThe 3 leadership skills that will set you apart in the age of AIWhy content marketing is about to explode, and how to stand out with heart and originality, not just more content.Why your story and perspective are still your biggest business assetsActionable steps for simplifying your offers, building a strong brand voice, and using AI effectively. Key TakeawaysAI isn't a magic fix; it mirrors what you give it. Your clarity and communication matter more than ever.Delegation is now about asking: Should I be doing this, or can AI?Imagination is your competitive edge. Margin gives you the space to innovate.Your brand message and personality are your biggest differentiators in a crowded, AI-generated world.Keep your business focused: one offer, one audience, one problem, one transformation.Join AI Lab for SolopreneursReady to learn how to work smarter with AI and amplify your personal authority?Find out more at https://marisashadrick.com/communityAudio Timestamps:00:00:00 – Intro and why AI content is starting to blur00:01:20 – AI adoption trends and predictions for 202600:03:20 – Strategic use of custom GPTs and tools00:04:50 – Why prompting skills are your new superpower00:05:57 – The explosion of content: blogs, books, and newsletters00:08:02 – 3 leadership skills solopreneurs need for the future00:09:35 – How to simplify your offer, lead magnet, and audience00:12:05 – Rethinking delegation with AI as your assistant00:14:15 – Why imagination is your next best strategy00:16:28 – Protecting your voice and brand in the age of AI00:18:47 – Closing and community invitationSkip Hours of Prompt Trial & Error with ChatGPTWhether you're writing, planning, analyzing, or brainstorming, my C.O.N.T.E.X.T. ™ method transforms ChatGPT into a consistent marketing assistant. No steep learning curve.Free Download!https://marisashadrick.com/prompts If you're ready to grow with effective marketing that actually feels manageable, here's your next move.Inside AI Lab for Solopreneurs, get Custom GPTs, templates, and coaching to grow your business. Visit: https://marisashadrick.com/communityListen to the "Amplify Your Authority" Podcast! Click Here! Rate & Review: If you enjoyed this episode, please take a moment to leave a 5-star rating and review on Apple Podcasts. Tip: Answer these questions inside of ChatGPT (free or paid) and have AI craft your review! How did you discover this podcast? What's your biggest takeaway from this episode? How has this podcast helped your current journey? Thanks so much for taking a few minutes to craft a review!

In this episode of the Shift AI Podcast, Michael Domanic, Head of AI at UserTesting, joins host Boaz Ashkenazy to explore how companies can successfully transform their organizations with AI. With over 800 custom GPTs built across UserTesting and nearly every employee actively using AI tools, Michael shares the framework behind one of the most successful enterprise AI transformations happening today.From his early days designing chatbots during the first AI hype cycle to leading transformation at scale today, Michael offers invaluable insights into why AI transformation is fundamentally a change management and creative challenge—not just a technological one. The conversation delves into the responsibility companies have to their workforce during this historic transformation, the importance of democratizing AI access, and why focusing on human creativity and experimentation is the key to unlocking real value. If you're looking to understand how to drive meaningful AI adoption in your organization while keeping humanity at the center, this episode is essential listening.Chapters:[00:00] The Human Side of AI and Creativity[02:00] Michael's Background and the First Chatbot Wave[04:00] First Jobs: From Lifeguard to Telemarketer[05:00] What is UserTesting and How It Works[08:00] The Challenge of Enterprise AI Adoption[11:00] Why Multiple AI Models and 800+ Custom GPTs[15:00] Change Management Over Technology[19:00] AI's Impact on Jobs and Employee Responsibility[22:00] Growth Mindset vs. Scarcity in AI Strategy[24:00] Healthcare and the Future of AI[27:00] Two Words for the Future: Human and Creativity[29:00] Measuring ROI in AI TransformationConnect with Michael DomanicLinkedIn: https://linkedin.com/in/michaeldomanic/Connect with Boaz AshkenazyLinkedIn: https://linkedin.com/in/boazashkenazyEmail: info@shiftai.fm

Se pensi che l'intelligenza artificiale sia qui per sostituirti, questo episodio ti farà cambiare idea. In questa puntata ti porto dietro le quinte del mio lavoro quotidiano con Claude, l'intelligenza artificiale che uso ogni giorno. Non la uso per “sostituire il mio cervello”, ma per liberarlo da tutto quello che mi blocca e mi fa procrastinare.Ti racconto come ho creato i miei "progetti personalizzati", come delego le email e la creazione di contenuti, e soprattutto quali sono le paure che ho riguardo all'AI (sì, anche io ne ho). Spoiler: la chiave non è usare l'intelligenza artificiale per fare tutto al posto tuo, ma imparare a delegare strategicamente, proprio come faresti con un collaboratore umano.In questo episodio parlo di:Come uso Claude Projects per creare contenuti, rispondere alle email e sbloccare la procrastinazioneLa differenza tra i progetti di Claude e i GPTs di ChatGPT (e perché preferisco Claude)Due esempi concreti dei miei progetti personalizzati: Content Factory Instagram e Email AssistantLe mie paure sull'intelligenza artificialePerché delegare all'AI è (quasi) come delegare a una personaCome sto pensando di integrare l'AI nei miei corsi online per renderli più accessibili"L'intelligenza artificiale non sostituisce il mio cervello, lo libera da tutto quello che mi blocca e mi fa procrastinare.""Se non sai delegare a una persona, non saprai delegare nemmeno all'intelligenza artificiale."Risorse menzionate nell'episodio:Claude AI (il tool che uso quotidianamente)Coraggiosa 2025: silvialanfranchi.it/coraggiosa-2025Vuoi supporto concreto per sbloccarti su comunicazione, vendita e mindset?Ecco dove trovarmi:Instagram: @silvialanfranchi.coachYouTube: silvialanfranchiNewsletter: Iscriviti qui per ricevere strategie concrete ogni lunedì mattinaSito web: silvialanfranchi.it

Capabilities? Through the roof? Usage? Ground floor.Claude Agent Skills might be one of the most useful features of any front-end LLM. Yet....it's crickets in terms of chat around it. For this 'AI at Work on Wednesday' episode, we're breaking it down for beginners and will have you spinning up your own Claude Agent Skills in no time. Claude Skills: How to build Custom Agentic Abilities for beginners -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.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:Claude Skills Agentic Features OverviewDifferences: Claude Skills vs. GPTs vs. GEMSModular Agentic Workflow File StructureStep-by-Step Guide: Building Claude SkillsClaude Skills YAML/Markdown Setup ProcessTesting and Validating Custom Claude SkillsAdvanced Capabilities: Executable Code & Sub-AgentsCommon Troubleshooting for Claude Skills CreationTimestamps:00:00 "Claude Skill Library Unveiled"06:27 "Claude Skills Explained"07:29 Custom GPTs and Gems Explained11:18 Claude Skills vs Projects17:31 "Refining Skill Triggers Effectively"20:17 "Beginner Cloud Skills Best Practices"23:39 "Preferring GPT and Memory Tools"25:54 "Saving Skill File Properly"28:09 Creating Skills on Claude33:43 "Creating AI News Searcher"35:36 Claude Skills Now Available37:39 "Optimizing Claude for Knowledge Tasks"41:05 "Skill Builder Library Access"Keywords:Claude skills, Claude agent skills, custom agentic abilities, large language model, agentic workflows, specialized tasks, coding capabilities, file creation, executable code, skills library, skill builder, skill creator, markdown file, skill.md, folder structure, YAML front matter, composable skills, modular instructions, automation, prompt engineering, skill triggers, skill testing, advanced features, API skill versioning, governance and efficiency,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Vibe coding is dead simple. Head to AI.Studio/build to create your first app.  Vibe coding is dead simple. Head to AI.Studio/build to create your first app. 

Midway through a 30-episodes-in-30-days podcast-to-book sprint, host Susan Diaz gets honest about what's working, what's hard, and how she's actually using AI as a thinking partner, draft machine, pattern spotter, and quiet project manager - plus what leaders can learn from this for their own AI experiments.   Episode summary This solo episode is a behind-the-scenes check-in from Susan's "completely unhinged" (her words) experiment to record 30 episodes in 30 days as the raw material for her next book. Nine episodes into twelve days, she talks candidly about fatigue, capacity, and why she refused to skip this recording even though she could have. She pulls back the curtain on the very practical ways she's using AI to structure ideas, draft assets, spot patterns across episodes, and manage the subtle project/energy load of a sprint like this. Then she zooms out to translate those lessons for founders and teams: why consistency beats intensity, why experiments are allowed to be small and honest, and why capacity has to be part of your AI strategy instead of an afterthought. Key takeaways This sprint is a live experiment in sustainability, not heroics. The goal isn't to "win" 30 episodes perfectly, it's to see what pace, support, and structure actually make ambitious AI-powered work sustainable for a real human. AI is a thinking partner first. Susan uses voice input in her LLM to dump messy thoughts, then asks it to shape them into outlines, angles, and talking points so she's never facing a blank page. (Pro tip: the built-in mic usually cuts off around five minutes - annoying but survivable.) Drafting support is where AI shines next. From show notes to extra research points to contextualising guest insights, custom GPTs help expand and refine ideas so she can focus on judgement and voice instead of first drafts. Pattern spotting turns episodes into chapters. By feeding multiple conversations into AI and asking for common threads or how ideas map to her core pillars, she can see where book chapters naturally want to live - and build something far more cohesive than her first, fully manual book. AI also helps with energy management. It quietly supports the admin around the sprint: drafting guest emails, summarizing notes, organizing ideas, and helping her see where there's too much on the go so she can re-plan. For organizations, three big lessons emerge: Consistency beats intensity - small, steady steps with AI are better than unsustainable bursts. Experiments can be small and honest - you don't need a centre of excellence to start. A one-hour training or a tiny workflow tweak counts. Capacity is strategy - pretending people have unlimited time and energy guarantees failure. Designing AI work around real capacity gives it a chance to stick. Good AI literacy lowers the cost of entry and raises the quality of thinking. Used well, AI doesn't replace your brain, it gives your best ideas a better chance of making it out of your head and into the world. Episode highlights [00:02] Setting the scene: a 30-episode sprint at the end of 2025 to get the book out of her head. [01:43] Nine episodes in twelve days, fatigue, and choosing to show up anyway. [03:21] Why the sprint mirrors how leaders feel about AI: "We know it matters… but keeping the pace is hard." [05:02] Using AI as a structure-building thinking partner via voice dumps and outlines. [05:30] The five-minute mic limit, word-vomit sessions, and how AI turns fuzz into flows. [07:02] Drafting support: research, context around guests, and custom GPTs for show assets. [07:44] Pattern spotting across episodes to find the book's real chapters and through-lines. [09:18] Why this AI-supported book will be "twice, thrice, ten times" better than the first one. [10:24] Energy and project management: emails, reflections, and organising all the moving pieces. [11:46] Lesson 1 – consistency over intensity for teams experimenting with AI. [13:29] Lesson 2 – small, honest experiments beat grand, delayed programs. [13:59] Lesson 3 – capacity as a core part of AI strategy, not a footnote. [15:01] Gentle prompts for listeners: where you're already experimenting, where AI can remove friction, and who your inside champions are. Use this episode as a mirror, not a mandate. Ask yourself and your team: Where are we already experimenting with AI, even in tiny ways? How could AI remove friction from that work instead of adding pressure? Who are our quiet inside champions - and what support or validation could we offer them this week? Answer even one of those honestly, and you're already moving from vague AI interest to real AI literacy. Connect with Susan Diaz on LinkedIn to get a conversation started. Agile teams move fast. Grab our 10 AI Deep Research Prompts to see how proven frameworks can unlock clarity in hours, not months. Find the prompt pack here.

Friend, let's welcome Catalina Jean for a second episode! Catalina is a wedding photographer and marketing strategist who has truly figured out how to make AI feel easy for creatives. Catalina has this super approachable way of explaining things, and she's been helping photographers use tools like ChatGPT in a way that actually supports their business instead of overwhelming it.In today's episode, we're talking all about Custom GPTs — what they are, how they're different from regular ChatGPT, and why having one can make your life so much easier. Catalina breaks everything down in a way that immediately clicks, even if AI still feels a little overwhelming. We chat about how Custom GPTs can help you stay consistent with your marketing, keep your voice sounding like you, and save you a ton of time. She also shares the common mistakes people make when using ChatGPT and how to avoid them.This conversation is such a good reminder that with the right setup, new tools can help us show up more confidently and with way less stress.I hope this episode encourages you to play around, get curious, and see how AI can fit into your business in a way that feels good.Offerings for Photographers3 steps to turn Pinterest into a traffic machine (this is a freebie!):⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thetogrepublic.com/join⁠⁠⁠⁠--You can find more about Catalina Jean here:Her websiteHer InstagramSEO For Creatives CourseInstant Content Creator

The Overtired trio reunites for the first time in ages, diving into a whirlwind of health updates, hilarious anecdotes, and the latest tech obsessions. Christina shares a dramatic spinal saga while Brett and Jeff discuss everything from winning reddit contests to creating a universal markdown processor. Tune in for updates on Mark 3, the magical world of Scrivener, and why Brett’s back on Bing. Don’t miss the banter or the tech tips, and as always, get ready to laugh, learn, and maybe feel a little overtired yourself. Sponsor Shopify is the commerce platform behind 10% of all eCommerce in the US, from household names like Mattel and Gymshark, to brands just getting started. Get started today at shopify.com/overtired. Chapters 00:00 Welcome to the Overtired Podcast 01:09 Christina’s Health Journey 10:53 Brett’s Insurance Woes 15:38 Jeff’s Mental Health Update 24:07 Sponsor Spot: Shopify 24:18 Sponsor: Shopify 26:23 Jeff Tweedy 27:43 Jeff’s Concert Marathon 32:16 Christina Wins Big 36:58 Monitor Setup Challenges 37:13 Ergotron Mounts and Tall Poles 38:33 Review Plans and Honest Assessments 38:59 Current Display Setup 41:30 Thunderbolt KVM and Display Preferences 42:51 MacBook Pro and Studio Comparisons 50:58 Markdown Processor: Apex 01:07:58 Scrivener and Writing Tools 01:11:55 Helium Browser and Privacy Features 01:13:56 Bing Delisting Incident Show Links Danny Brown's 10 in the New York Times (gift link) Indigo Stack Scrivener Helium Bangs Apex Apex Syntax Join the Marked 3 Beta LG 32 Inch UltraFine™evo 6K Nano IPS Black Monitor with Thunderbolt™ 5 Join the Conversation Merch Come chat on Discord! Twitter/ovrtrd Instagram/ovrtrd Youtube Get the Newsletter Thanks! You’re downloading today’s show from CacheFly’s network BackBeat Media Podcast Network Check out more episodes at overtiredpod.com and subscribe on Apple Podcasts, Spotify, or your favorite podcast app. Find Brett as @ttscoff, Christina as @film_girl, Jeff as @jsguntzel, and follow Overtired at @ovrtrd on Twitter. Transcript Brett + 2 Welcome to the Overtired Podcast Jeff: [00:00:00] Hello everybody. This is the Overtired podcast. The three of us are all together for the first time since the Carter administration. Um, it is great to see you both here. I am Jeff Severance Gunzel if I didn’t say that already. Um, and I’m here with Christina Warren and I’m here with Brett Terpstra and hello to both of you. Brett: Hi. Jeff: Great to see you both. Brett: Yeah, it’s good to see you too. I feel like I was really deadpan in the pre-show. I’ll try to liven it up for you. I was a horrible audience. You were cracking jokes and I was just Jeff: that’s true. Christina, before you came on, man, I was hot. I was on fire and Brett was, all Brett was doing was chewing and dropping Popsicle parts. Brett: Yep. I ate, I ate part of a coconut outshine Popsicle off of a concrete floor, but Jeff: It is true, and I didn’t even see him check it [00:01:00] for cat hair, Brett: I did though. Jeff: but I believe he did because he’s a, he’s a very Brett: I just vacuumed in Jeff: He’s a very good American Brett: All right. Christina’s Health Journey Brett: Well, um, I, Christina has a lot of health stuff to share and I wanna save time for that. So let’s kick off the mental health corner. Um, let’s let Christina go first, because if it takes the whole show, it takes the whole show. Go for it. Christina: Uh, I, I will not take this hold show, but thank you. Yeah. So, um, my mental health is okay-ish. Um, I would say the okay-ish part is, is because of things that are happening with my physical health and then some of the medications that I’ve had to be on, um, uh, to deal with it. Uh, prednisone. Fucking sucks, man. Never nev n never take it if you can avoid it. Um, but why Christina, why are you on prednisone or why were you on prednisone for five days? Um, uh, and I’m not anymore to be clear, but that certainly did not help my mental health. Um, at the beginning of November, I woke up and I thought that I’d [00:02:00] slept on my shoulder wrong. And, um, uh, and, and just some, some background. I, I don’t know if this is pertinent to how my injury took place or not, but, but it, I’m sure that it didn’t help. Um, I have scoliosis and in the top and the bottom of my spine, so I have it at the top of my, like, neck area and my lower back. And so my back is like a crooked s um, this will be relevant in a, in a second, but, but I, I thought that I had slept on my back bunny, and I was like, okay, well, all right, it hurts a lot, but fine. Um, and then it, a, a couple of days passed and it didn’t get any better, and then like a week passed and I was at the point where I was like, I almost feel like I need to go to the. Emergency room, I’m in pain. That is that significant. Um, and, you know, didn’t get any better. So I took some of grant’s, Gabapentin, and I took, um, some, some, uh, a few other things and I was able to get in with like a, a, a sports and spine guy. Um, and um, [00:03:00] he looked at me and he was like, yeah, I think that you have like a, a, a bolting disc, also known as a herniated disc. Go to physical therapy. See me later. We’ll, we’ll deal with it. Um. Basically like my whole left side was, was, was really sore and, and I had a lot of pain and then I had numbness in my, my fingers and um, and, and that was a problem the next day, which was actually my birthday. The numbness had at this point spread to my right side and also my lower extremities. And so at this point I called the doctor and he was like, yeah, you should go to the er. And so I went to the ER and, and they weren’t able to do anything for me other than give me, you know, like, um, you know, I was hoping they might give me like, some sort of steroid injection or something. They wouldn’t do anything other than, um, basically, um, they gave me like another type of maybe, maybe pain pill or whatever. Um, but that allowed the doctor to go ahead and. Write, uh, write up an MRI took forever for me to get an MRI, I actually had to get it in Atlanta. [00:04:00] Fun fact, uh, sometimes it is cheaper to just pay and not go through insurance and get an MR MRI and, um, a, um, uh, an x-ray, um, I was able to do it for $450 Jeff: Whoa. Really? Christina: Yeah, $400 for the MR mri. $50 for the x-ray. Jeff: Wow. Christina: Yeah. Yeah. Brett: how I, they, I had an MRI, they charged me like $1,200 and then they failed to bill insurance ’cause I was between insurance. Christina: Yes. Yeah. So what happened was, and and honestly that was gonna be the situation that I was in, not between insurance stuff, but they weren’t even gonna bill insurance. And insurance only approved certain facilities and to get into those facilities is almost impossible. Um, and so, no, there are a lot of like get an MR, I now get a, you know, mammogram, get ghetto, whatever places. And because America’s healthcare system is a HealthScape, you can bypass insurance and they will charge you way less than whatever they bill insurance for. So I, I don’t know if it’s part of the country, you know, like Seattle I think might [00:05:00] probably would’ve been more expensive. But yeah, I was able to find this place like a mile from like, not even a mile from where my parents lived, um, that did the x-rays and the MRI for $450 total. Brett: I, I hate, I hate that. That’s true, but Christina: Me too. Me too. No, no. It pisses me off. Honestly, it makes me angry because like, I’m glad that I was able to do that and get it, you know, uh, uh, expedited. Then I go into the spine, um, guy earlier this week and he looks at it and he’s like, yep, you’ve got a massive bulging disc on, on C seven, which is the, the part of your lower cervical or cervical spine, which is your neck. Um, and it’s where it connects to your ver bray. It’s like, you know, there are a few things you can do. You can do, you know, injections, you can do surgery. He is like, I’m gonna recommend you to a neurosurgeon. And I go to the neurosurgeon yesterday and he was showing me or not, uh, yeah, yesterday he was showing me the, the, the, the scans and, and showing like you up close and it’s, yeah, it’s pretty massive. Like where, where, where the disc is like it is. You could see it just from one view, like, just from like [00:06:00] looking at it like, kind of like outside, like you could actually like see like it was visible, but then when you zoomed in it’s like, oh shit, this, this thing is like massive and it’s pressing on these nerves that then go into my, my hands and other areas. But it’s pressing on both sides. It’s primarily on my left side, but it’s pressing on on my right side too, which is not good. So, um, he basically was like, okay. He was like, you know, this could go away. He was like, the pain isn’t really what I’m wanting to, to treat here. It’s, it’s the, the weakness because my, my left arm is incredibly weak. Like when they do like the, the test where like they, they push back on you to see like, okay, like how, how much can you, what, like, I am, I’m almost immediately like, I can’t hold anything back. Right? Like I’m, I’m, I’m like a toddler in terms of my strength. So, and, and then I’m freaked out because I don’t have a lot of feeling in my hands and, and that’s terrifying. Um, I’m also. Jeff: so terrifying, Christina: I’m, I’m also like in extreme pain because of, of, of where this sits. Like I can’t sleep well. Like [00:07:00] the whole thing sucks. Like the MRI, which was was like the most painful, like 25 minutes, like of my existence. ’cause I was laying flat on my back. I’m not allowed to move and I’m just like, I’m in just incredible pain with that part of, of, of, of my, my side. Like, it, it was. It was terrible. Um, but, uh, but he was like, yeah. Um, these are the sorts of surgical options we have. Um, he’s gonna, um, do basically what what he wants to do is basically do a thing where he would put in a, um, an artificial or, or synthetic disc. So they’re gonna remove the disc, put in a synthetic one. They’ll go in through the, the front of my throat to access the, my, my, my, my spine. Um, put that there and, um, you know, I’ll, I’ll be overnight in the hospital. Um, and then it’ll be a few weeks of recovery and the, the, the pain should go away immediately. Um, but it, it could be up to two years before I get full, you know, feeling back in my arm. So anyway, Jeff: years, Jesus. And Christina: I mean, and hopefully less than that, but, but it could be [00:08:00] up to that. Jeff: there’s no part of this at this point. That’s a mystery to you, right? Christina: The mystery is, I don’t know how this happened. Jeff: You don’t know how it happened, right? Of course. Yeah, of course. Yeah. Yeah. Brett: So tell, tell us about the ghastly surgery. The, the throat thing really threw me like, I can’t imagine that Christina: yeah, yeah. So, well, ’cause the thing is, is that usually if what they just do, like spinal fusion, they’ll go in at the back of your neck, um, and then they’ll remove the, the, um, the, the, the, the disc. And then they’ll fuse your, your, your two bones together. Basically. They’ll, they’ll, they’ll, they’ll fuse this part of the vertebrae, but because they’re going to be replacing the, the disc, they need more room. So that’s why they have to go in through the, through, through basically your throat so that they can have more room to work. Jeff: Good lord. No thank you. Brett: Ugh. Wow. Jeff: Okay. Brett: I am really sorry that is happening. That is, that is, that dwarfs my health concerns. That is just constant pain [00:09:00] and, and it would be really scary. Christina: Yeah. Yeah. It’s not great. It’s not great, but I’m, I’m, I’m doing what I can and, uh, like I have, you know, a small amount of, of Oxycodine and I have like a, a, a, you know, some other pain medication and I’m taking the gabapentin and like, that’s helpful. The bad part is like your body, like every 12, 15 hours, like whatever, like the, the, the cycle is like, you feel it leave your system and like if you’re asleep, you wake up, right? Like, it’s one of those things, like, you immediately feel it, like when it leaves your system. And I’ve never had to do anything for pain management before. And they have me on a very, they have me like on the smallest amount of like, oxycodone you can be on. Um, and I’m using it sparingly because I don’t wanna, you know, be reliant on, on it or whatever. But it, it, but it is one of those things where I’m like, yeah, like sometimes you need fucking opiates because, you know, the pain is like so constant. And the thing is like, what sucks is that it’s not always the same type of pain. Like sometimes it’s throbbing, sometimes it’s sharp, sometimes it’s like whatever. It sucks. But the hardest thing [00:10:00] is like, and. This does impact my mental health. Like it’s hard to sleep. Like, and I’m a side sleeper. I’m a side sleeper, and I’m gonna have to become a back sleeper. So, you know. Yeah. It’s just, it’s, it’s not great. It’s not great, but, you know, that, that, that, that, that’s me. The, the good news is, and I’m very, very gratified, like I have a good surgeon. Um, I’m gonna be able to get in to get this done relatively quickly. He had an appointment for next week. I don’t think that insurance would’ve even been able to approve things fast enough for, for, for that regard. And I have, um, commitments that I can’t make then. And I, and that would also mean that I wouldn’t be able to go visit my family for Christmas. So hopefully I’ll do it right after Christmas. I’m just gonna wait, you know, for, for insurance to, to do its thing, knock on wood, and then schedule, um, from there. But yeah, Jeff: Woof. Christina: so that’s me. Um, uh, who wants to go next? Jeff or, uh, Jeff or Brett? Jeff: It’s like, that’s me. Hot potato throwing it. Brett: I’ll, I’ll go. Brett’s Insurance Woes Brett: I can continue on the insurance topic. Um, I was, for a few months [00:11:00] after getting laid off, I was on Minsu, which is Minnesota’s Medicaid, um, v version of Medicaid. And so basically I paid nothing and I had better insurance than I usually have with, uh, you know, a full deductible and premiums and everything. And it was fantastic. I was getting all the care I needed for all of the health stuff I’m going through. Um, I, they, a, a new doctor I found, ordered the 15 tests and I passed out ’cause it was so much blood and. And it, I was getting, but I was getting all these tests run. I was getting results, we were discovering things. And then my unemployment checks, the income from unemployment went like $300 over the cap for Medicaid. So [00:12:00] all of a sudden, overnight I was cut from Medicaid and I had to do an early sign up, and now I’m on courts and it sucks bad. Like they’re not covering my meds. Last month cost me $600. I was also paying. In addition to that, a $300 premium plus every doctor’s visit is 50 bucks out of pocket. So this will hopefully only last until January, and then it’ll flip over and I will be able to demonstrate basically no income, um, until like Mark makes enough money that it gets reported. Um, and even, uh, until then, like I literally am making under the, the poverty limit. So, um, I hope to be back on Medicaid shortly. I have one more month. I’ll have to pay my $600 to refill. I [00:13:00] cashed out my 401k. Um, like things were, everything was up high enough that I had made, I. I had made tens of thousands of dollars just on the investments and the 401k, but I also have a lot of concerns about the market volatility around Nvidia and the AI bubble in general. Um, so taking my money out of the market just felt okay to me. I paid the 10%, uh, penalty Jeff: Mm-hmm. Brett: and ultimately I, I came out with enough cash that I can invest on my own and be able to cover the next six months. Uh, if I don’t have any other income, which I hope to, I hope to not spend my nest egg. Um, but I did, I did a lot of thinking and calculating and I think I made the right choices. But anyway, [00:14:00] that will help if I have to pay for medical stuff that will help. Um. And then I’ve had insomnia, bad on and off. Right now I’m coming off of two days of good sleep. You’re catching me on a good day. Um, but Jeff: Still wouldn’t laugh at my jokes. Brett: before that it was, well, that’s the thing is like before that, it was four nights where I slept two to four hours per night, and by the end of it, I could barely walk. And so two nights of sleep after a stint like that, like, I’m just super, I’m deadpan, I’m dazed. Um, I could lay down and fall asleep at any time. Um, I, so, so keep me awake. Um, but yeah, that’s, that’s, that’s me. Mental health is good. Like I’m in pretty high spirits considering all this, like financial stuff and everything. Like my mood has been pretty stable. I’ve been getting a lot of coding done. I’ll tell you about projects in [00:15:00] a minute, but, um, but that’s, that’s me. I’m done. Jeff: Awesome. I’m enjoying watching your cat roll around, but clearly cannot decide to lay down at this point. Brett: No, nobody is very persnickety. Jeff: I literally have to put my. Well, you say put a cat down like you used to. When you put a kid down for a nap, you say you wanna put ’em down. Right? That’s where it’s coming from. I now have a chair next to my desk, ’cause I have one cat that walks around Yowling at about 11:00 AM while I’m working. And I have to like, put ’em down for a nap. It’s pathetic. It’s pathetic that I do that. Let’s just be clear. Brett: Yeah. Jeff: soulmate though. Jeff’s Mental Health Update Jeff: Um, I’m doing good. I’m, I’m, I’ve been feeling kind of light lately in a nice way. I’ve had ups and downs, but even with the ups and downs, there’s like a, except for one day last week was, there’s just been feeling kind of good in general, which is remarkable in a way. ’cause it’s just like stressful time. There’s some stressful business stuff, like, [00:16:00] a lot of stuff like that. But I’m feeling good and, and just like, uh, yeah, just light. I don’t know, it’s weird. Like, I’ve just been noticing that I feel kind of light and, uh. And not, not manic, not high light. Brett: Yeah. No, that’s Jeff: uh, and that’s, that’s lovely. So yeah. And so I’m doing good. I’m doing good. I fucking, it’s cold. Which sucks ’cause it just means for everybody that’s heard about my workshop over the years, that I can’t really go out there and have it be pleasant Brett: It’s, it’s been Minnesota thus far. Has had, we’ve had like one, one Sub-Zero day. Jeff: whatever. It’s fucking cold. Christina: Yeah. What one? Brett? Brett. It’s December 6th as we’re recording this one Sub-Zero day. That’s insane. Brett: Is it Jeff: Granted, granted I’ve been dressing warm, so I’m ready to go out the door for ice related things. Meaning, meaning government, ice, Brett: Uh, yeah. Yeah. Jeff: So I like wear my long underwear during [00:17:00] the day. ’cause actually like recently. So at my son’s school, which is like six blocks from here, um, has a lot of Somali immigrants in it. And, and uh, and there was a, at one point there was ice activity in the other direction, um, uh, uh, near me. And so neighbors put out a call here around so that at dismissal time people would pair up at all the intersections surrounding the school. And, um, and like a quick signal group popped up, whatever. It was so amazing because like we all just popped out there. And by the time I got out, uh, everyone was already like, posted up and I was like, I’m a, in these situations, I am a wanderer. You want me roaming? I don’t want to pair up with somebody I don’t like, I just, I grabbed a camera with a Zoom on it and like, I was like, I’m in roam. Um, it’s what I was as an activist, what I was as a reporter, like it’s just my nature. Um, but like. Everybody was out and like, and they were just like, they were ready man. And then we got like the all clear and you could just see people in the [00:18:00] neighborhood just like standing down and going home. But because of the true threat and the ongoing arrests here, now that the Minneapolis stuff has started, like I do, I was like wearing long underwear just, and I have a little bag by the door ready to like pop out if something comes up and I can be helpful. Um, and uh, and I guess what I’m saying is I should use that to go into the garage as well if I’m already prepared. Brett: Right. Jeff: But here’s, okay, so here’s a mental health thing actually. So I, one of the, I’ve gone through a few years of just sort of a little bit of paralysis around being able to just, I don’t know what, like do anything that is kind of project related that takes some thinking, whatever it is, like I’m talking about around the house or things that have kind of broken over the years, whatever. So I’ve had this snowblower and it’s a really good snowblower. It’s got headlights. And, uh, and I used to love snow blowing the entire block. Like it just made me feel good, made me feel useful. Um, and sorry I cough. I left it outside for a [00:19:00] year for a, like a winter and a spring and water got into the gas tank. It rusted out in there. I knew I couldn’t start it or I’d ruin the whole damn engine. So I left it for two years and I felt bad about myself. But this year, just like probably a month before the first big snowfall, I fucking replaced a gas tank and a carburetor on a machine. And I have never done anything like that in my life. And so then we got the snowfall and I, and I snow blowed this whole block Brett: Nice. Jeff: great. ’cause now they all owe me. Brett: I, uh, I have a, uh, so I have a little electric powered, uh, snowblower that can handle like two inches of snow. Um, and, and on big snowfalls, if you get out there every hour and keep up with it, it, it works. But, but I, my back right now, I can’t stand for, I can’t stand still for 10 minutes and I can’t move for more than like five minutes. And so I’m, I’m very disabled and El has good days and bad days, uh, thus [00:20:00] far. L’s been out there with a shovel, um, really being the hero. But we have a next door neighbor with a big gas powered snowblower. And so we went over, brought them gifts, and, um, asked if they would take care of our driveway on days we couldn’t, uh, for like, you know, we’d pay ’em 25 bucks to do the driveway. And, uh, and they were, he was still reluctant to accept money. Um. But, but we both agreed it was better to like make it a, a transaction. Jeff: Oh my God. You don’t want to get into weird Minnesota neighbor relational. Brett: right. You don’t want the you owe me thing. Um, so, so we have that set up. But in the process we made really good friends with our neighbor. Like we sat down in their living room for I think 45 minutes and just like talked about health and politics and it was, it was really fun. They’re, they’re retired. They’re in their [00:21:00] seventies and like act, he always looks super grumpy. I always thought he was a mean old man. He’s actually, he laughs more easily than most people I’ve ever met. Um, he’s actually, when people say, oh, he is actually a teddy bear, this guy really is, he’s just jovial. Uh, he just has resting angry old man face. Jeff: Or like my, I have public mis throat face, like when I’m out and about, especially when I’m shopping, I know that my face is, I’m gonna fucking kill you if you look me in the eye Brett: I used Jeff: is not my general disposition. Brett: people used to tell me that about myself, but I feel like I, I carry myself differently these days than I did when I was younger. Jeff: You know what I learned? Do you, have you both watched Veep, Christina: Yes, Jeff: you know, Richard sp split, right? Um, and, and he always kind of has this sweet like half smile and he is kind of looking up and I, I figured out at one point I was in an airport, which is where my kill everybody face especially comes up. Just to be clear. TSA, it’s just a feeling inside. I [00:22:00] have no desire to act to this out. I realized that if I make the Richard Plet face, which I can try to make for you now, which is something like if I just make the Richard Plet face, my whole disposition Brett: yeah. Yeah. Jeff: uh, and I even feel a little better. And so I just wanna recommend that to people. Look up Richard Spt, look at his face. Christina: Hey, future President Bridges split. Jeff: future President Richard Splat, also excellent in the Detroiters. Um, that’s all, uh, that’s all I wanted to say about that. Brett: I have found that like when I’m texting with someone, if I start to get frustrated, you know, you know that point where you’re still adding smiley emoticons even though you’re actually not, you’re actually getting pissed off, but you don’t wanna sound super bitchy about it, so you’re adding smile. I have found that when I add a smiley emoji in those circumstances, if I actually smile before I send it, it like my [00:23:00] mood will adjust to match, to match the tone I’m trying to convey, and it lessens my frustration with the other person. Jeff: a little joy wrist rocket. Christina: Yeah. Hey, I mean, no, but hey, but, but that, that, that, that, that’s interesting. I mean, they’re, they, they’ve done studies that like show that, right? That like show like, you know, I mean, like, some of this is all like bullshit to a certain extent, but there is something to be said for like, you know, like the power of like positive thinking and like, you know, if you go into things with like, different types of attitudes or even like, even if you like, go into job interviews or other situations, like you act confident or you smile, or you act happy or whatever. Even if you’re not like it, the, the, the, the euphoria, you know, that those sorts of uh, um, endorphin reactions or whatever can be real. So that’s interesting. Brett: Yeah, I found, I found going into job interviews with my usual sarcastic and bitter, um, kind of mindset, Jeff: I already hate this job. Brett: it doesn’t play well. It doesn’t play well. So what are your weaknesses? Fuck off. Um,[00:24:00] Christina: right. Well, well, well, I hate people. Jeff: Yeah. Dealing with motherfuckers like you, that’s one weakness. Sponsor Spot: Shopify Brett: let’s, uh, let’s do a sponsor spot and then I want to hear about Christina winning a contest. Christina: yes. Jeff: very Brett: wanna, you wanna take it away? Sponsor: Shopify Jeff: I will, um, our sponsor this week is Shopify. Um, have you ever, have you just been dreaming of owning your own business? Is that why you can’t sleep? In addition to having something to sell, you need a website. And I’ll tell you what, that’s been true for a long time. You need a payment system, you need a logo, you need a way to advertise new customers. It can all be overwhelming and confusing, but that is where today’s sponsor, Shopify comes in. shopify is the commerce platform behind millions of businesses around the world and 10% of all e-commerce in the US from household names like Mattel and Gym Shark to brands just getting started. Get started with your own design studio with hundreds of ready to use [00:25:00] templates. Shopify helps you build a beautiful online store to match your brand’s style, accelerate your content creation. Shopify is packed with helpful AI tools that write product descriptions, page headlines, and even enhance your product photography. Get the word out like you have a marketing team behind you. Easily create email and social media campaigns wherever your customers are scrolling or strolling. And best yet, Shopify is your commerce expert with world class expertise in everything from managing inventory to international shipping, to processing returns and beyond. If you’re ready to sell, you are ready to Shopify. Turn your Big Business Idea into with Shopify on your side. Sign up for your $1 per month trial and start selling today@shopify.com slash Overtired. Go to shopify.com/ Overtired. What was that? Say it with me. shopify.com/ Overtired [00:26:00] cha. Uh, Brett: the, uh, the group, the group input on the last URL, I feel like we can charge extra for that. That was Jeff: Yeah. Cha-ching Brett: they got the chorus, they got the Overtired Christina: You did. You got the Overtired Jeff: They didn’t think to ask for it, but that’s our brand. Christina: shopify.com/ Overtired. Jeff Tweedy Jeff: What was, uh, I was watching a Stephen Colbert interview with Jeff Tweedy, who just put out a triple album and, uh, it was a very thoughtful, sweet interview. And then Stephen Colbert said, you know, you’re not supposed to do this. And Jeff Tweety said, it’s all part of my career long effort to leave the public wanting less. Christina: Ha, Jeff: That was a great bit. Christina: that’s a fantastic bit. A side note, there are a couple of really good NPR, um, uh, tiny desks that have come out in the last couple of month, uh, couple of weeks. Um, uh, one is shockingly, I, I’ll, I’ll just be a a, a fucking boomer about it. The Googo dolls. Theirs was [00:27:00] great. It’s fantastic. They did a great job. It already has like millions of views, like it wrecked up like over a million views, I think like in like, like less than 24 hours. They did a great job, but, uh, but Brandy Carlisle, uh, did one, um, the other day and hers is really, really good too. So, um, so yeah. Yeah, exactly. So yeah. Anyway, you said, you saying Jeff pd maybe, I don’t know how I got from Wilco to like, you know, there, Jeff: Yeah. Well, they’ve done some good, he’s done his own good Christina: he has, he has done his own. Good, good. That’s honestly, that’s probably what I was thinking of, but Jeff: It’s my favorite Jeff besides me because Bezos, he’s not in the, he’s not in the game. Christina: No. No, he’s not. No. Um, he, he’s, he’s not on the Christmas card list at all. Jeff: Oh man. Jeff’s Concert Marathon Jeff: Can I just tell you guys that I did something, um, I did something crazy a couple weeks ago and I went to three shows in one week, like I was 20 fucking two, Brett: Good grief. Jeff: and. It was a blast. So, okay, so the background of this is my oldest son [00:28:00] loves hip hop, and when we drive him to college and back, or when I do, it’s often just me. Um, he, he goes deep and he, it’s a lot of like, kind of indie hip hop and a lot. It’s just an interesting, he listens to interesting shit, but he will go deep and he’ll just like, give me a tour through someone’s discography or through all their features somewhere, whatever it is. And like, it’s the kind of input that I love, which is just like, I don’t, even if it’s not my genre, like if you’re passionate and you can just weave me through the interrelationship and the history and whatever it is I’m in. So as a result of that, made me a huge fan of Danny Brown and made me a huge fan of the sky, Billy Woods. And so what happened was I went to a hip hop show at the seventh Street entry, uh, which is attached to First Avenue. It’s a little club, very small, lovely little place, the only place my band could sell out. Um, and I watched a hip hop show there on a Monday night, Tuesday night. I went to the Uptown Theater, which Brett is now a actually an operating [00:29:00] theater for shows. Uh, and I, and I saw Danny Brown, but I also saw two hyper pop bands, a genre I was not previously aware of, including one, which was amazing, called Fem Tenal. And I was in line to get into that show behind furries, behind trans Kids. Like it was this, I was the weirdest, like I did not belong. Underscores played, and, and this will mean something to somebody out there, but not, didn’t mean anything to me until that night. And, uh. I felt like such, there were times, not during Danny Brown, Danny Brown’s my age all good. But like there were times where I was in the crowd ’cause I’m tall. Anybody that doesn’t know I’m very tall and I’m wearing like a not very comfortable or safe guy seeming outfit, a black hoodie, a black stocking cap. Like I basically looked like I’m possibly a shooter and, and I’m like standing among all these young people loving it, but feeling a little like, should I go to the back? Even like I was leaving that show [00:30:00] and the only people my age were people’s parents that were waiting to pick them up on the way out. So anyway, that was night two. Danny Brown was awesome. And then two nights later I went to see, this is way more my speed, a band called the Dazzling Kilman who were a band that. Came out in the nineties, St. Louis and a noisy Matthew Rock. Wikipedia claims they invented math rock. It’s a really stupid claim, uh, but it’s a lovely, interesting band and it’s a friend of mine named Nick Sakes, who’s who fronted that band and was in all these great bands back when I was in bands called Colos Mite and Sick Bay, and all this is great shit. So they played a reunion show. In this tiny punk rock club here called Cloudland, just a lovely little punk rock club. And, um, and, and that was like rounded out my week. So like, I was definitely, uh, a tourist the early part of the week, mostly at the Danny Brown Show. But then I like got to come home to my noisy punk rock [00:31:00] on, uh, on Thursday night. And I, I fucking did three shows and it hurt so bad. Like even by the first of three bands on the second night. I was like, I don’t think I can make it. And I do. I already pregame shows with ibuprofen. Just to be really clear, I microdose glucose tabs at shows like, like I am, I am a full on old man doing these things. But, um, I did get some cred with my kids for being at a hyper pop show all by myself. And, Christina: Hell yeah. A a Jeff: friends seemed impressed. Christina: no, as a as, as as they should be. I’m impressed. And like, and I, I, I typically like, I definitely go to like more of like, I go, I go to shows more frequently and, and I’m, I’m even like, I’m, I’m gonna be real with you. I’m like, yeah, three in one week. Jeff: That’s a lot. Christina: That’s a lot. That’s a lot. Jeff: man. Did I feel good when I walked home from that last show though? I was like, I fucking did it. I did not believe I wasn’t gonna bail on at least two of those shows, if not all three. Anyway, just wanted to say Brett: I [00:32:00] do like one show a year, but Jeff: that’s how I’ve been for years this year. I think I’ve seen eight shows. Brett: damn. Jeff: Yeah, it’s Brett: Alright, so you’ve been teasing us about this, this contest you won. Jeff: Yeah, please, Christina. Sorry to push that off. Christina: No, no, no, no. That’s, that’s completely okay. That, that, that, that’s great. Uh, no. Christina Wins Big Christina: So, um, I won two six K monitors. Brett: Damn. Jeff: is that what those boxes are behind you? Christina: Yeah, yeah. This is what the boxes are behind me, so I haven’t been able to get them up because this happened. I got them literally right in the midst of all this stuff with my back. Um, but I do have an Ergotron poll now that is here, and, and Grant has said that he will, will get them up. But yeah, so I won 2 32 inch six K monitors from a Reddit contest. Brett: How, how, how, Jeff: How does this happen? How do I find a Reddit contest? Christina: Yeah. So I got lucky. So I have, I, I have a clearly, well, well, um, there was a little, there was a little bit of like, other step to it than that, but like, uh, so how it worked was basically, um, LG is basically just put out [00:33:00] two, they put out a new 32 inch six K monitor. I’ll have it linked in, in, in the show notes. Um, so we’ve talked about this on this podcast before, but like one of my big, like. Pet peeve, like things that I can’t get past. It’s like I need like a retina screen. Like I need like the, the perfect pixel doubling thing for that the Mac Os deals with, because I’ve used a 5K screen, either through an iMac or um, an lg, um, ultra fine or, um, a, uh, studio display. For like 11 years. And, and I, and I’ve been using retina displays on laptops even longer than that. And so if I use like a regular 4K display, like it just, it, it doesn’t work for me. Um, you can use apps like, um, like better control and other things to kind of emulate, like what would be like if you doubled the resolution, then it, it down, you know, um, of samples that, so that. It looks better than, than if it’s just like the, the, the 4K stuff where in the, the user interface things are too big and whatnot. And to be clear, this is a Macco West problem. If [00:34:00] you are using Windows or Linux or any other operating system that does fractional scaling, um, correctly, then this is not a problem. But Macco West does not do fractional scaling direct, uh, correctly. Um, weirdly iOS can, like, they can do three X resolution and other things. Um, but, but, but Macs does not. And that’s weird because some of the native resolutions on some of the MacBook errors are not even perfectly pixeled doubled, meaning Apple is already having to do a certain amount of like resolution changes to, to fit into their own, created by their, their own hubris, like way of insisting on, on only having like, like two x pixel doubling 18 years ago, we could have had independent, uh, resolutions, uh, um, for, for UI elements and, and, and window bars. But anyway, I, I’m, I’m digressing anyway. I was looking at trying to get either a second, uh, studio display, which I don’t wanna do because Apple’s reportedly going to be putting out a new one. Um, and they’re expensive or getting, um, there are now a number of different six K [00:35:00] displays that are not $6,000 that are on the market. So, um, uh, uh, Asus has one, um, there is one from like a, a Chinese company called like, or Q Con that, um, looks like a, a complete copy of this, of the pro display XDR. It has a different panel, but it’s, it’s six K and they, they’ve copied the whole design and it’s aluminum and it’s glossy and it looks great, but I’d have to like get it from like. A weird distributor, and if I have any issues with it, I don’t really wanna have to send it back to China and whatnot. And then LG has one that they just put out. And so I’ve been researching these on, on Mac rumors and on some other forums. And, um, I, uh, I, somebody in one of the Mac Roomers forums like posted that there was like a contest that LG was running in a few different subreddits where they were like, tell us why you should get one of, like, we’re gonna be giving away like either one or two monitors, and I guess they did this in a few subreddits. Tell us why this would be good for your workflow. And, um, I guess I, I guess I’m one of the people who kind of read the [00:36:00] assignment because it, okay, I’ll just be honest with this, with, with you guys on this podcast, uh, because I, I don’t think anyone from LG will hear this and my answers were accurate anyway. But anyway, this was not the sort of contest where it was like we will randomly select a winner. This was the moderators and lg, were going to read the responses and choose the winner. Jeff: Got it. Christina: So if you spend a little bit of time and thoughtfully write out a response, maybe you stand a better chance of winning the contest. Jeff: yeah, yeah. Put the work in like it was 2002. Christina: Right. Anyway, I still was shocked when I like woke up like on like Halloween and they were like, congratulations, you’ve won two monitors. I’m like, I’m sorry. What? Jeff: That’s amazing. Christina: Yeah, yeah, yeah, Jeff: Nice work. I know I’ve, you know, I’ve been staring at those boxes behind you this whole time, just being like, those look like some sweet monitors. Christina: yeah, yeah. Monitor Setup Challenges Christina: I mean, and, uh, [00:37:00] uh, it’s, it’s, it’s, it’s, it’s, and I, I’m very much, so my, my, my only issue is, okay, how am I gonna get these on my desk? So I’m gonna have to do something with my iMac and I’m probably gonna have to get rid of my, my my, my 5K, um, uh, uh, studio display, at least in the short term. Ergotron Mounts and Tall Poles Christina: Um, but what I did do is I, um, I ordered from, um, Ergotron, ’cause I already have. Um, two of their, um, LX mounts, um, or, or, or, or arms. Um, and only one of them is being used right now. And then I have a different arm that I use for the, um, um, iMac. Um, they sell like a, if you call ’em directly, you can get them to send you a tall pole so that you can put the two arms on top of them. And that way I think I can like, have them so that I can have like one pole and then like have one on one side, one Jeff: I have a tall pole. Christina: and, and yeah, that’s what she said. Um, Jeff: as soon as I said it, I was like, for fuck’s sake. But Christina: um, but, uh, but, but yeah, but so that way I think I, I can, I, in theory, I can stack the market and have ’em side by side. I don’t know. Um, I got that. I, I had to call Tron and, and order that from them. [00:38:00] Um, it was only a hundred dollars for, for the poll and then $50 for a handling fee. Jeff: It’s not easy to ship a tall pole. Brett: That’s what she said. Christina: that is what she said. Uh, that is exactly what she said. But yeah, so I, I, the, the, the unfortunate thing is that, um, I, um, I, I had to, uh, get a, like all these, they, they came in literally right before Thanksgiving, and then I’ve had, like, all my back stuff has Jeff: Yeah, no Christina: debilitating, but I’m looking forward to, um, getting them set up and used. And, uh, yeah. Review Plans and Honest Assessments Christina: And then full review will be coming to, uh, to, I have to post a review on Reddit, but then I will also be doing a more in depth review, uh, on this podcast if anybody’s interested in, in other places too, to like, let let you know, like if it’s worth your money or not. Um, ’cause there, like I said, there are, there are a few other options out there. So it’s not one of those things where like, you know, um, like, thank you very much for the free monitor, um, monitors. But, but I, I will, I will give like the, the, you know, an honest assessment or Current Display Setup Brett: So [00:39:00] do you currently have a two display setup? Christina: No. Um, well, yes, and kind of, so I have my, my, I have my 5K studio display, and then I have like my iMac that I use as a two to display setup. But then otherwise, what I’ve had to do, and this is actually part of why I’m looking forward to this, is I have a 4K 27 inch monitor, but it’s garbage. And it, it’s one of those things where I don’t wanna use it with my Mac. And so I wind up only using it with my, with my Windows machine, with my framework desktop, um, with my Windows or Linux machine. And, and because that, even though I, it supports Thunderbolt, the Apple display is pain in the ass to use with those things. It doesn’t have the KVM built in. Like, it doesn’t like it, it just, it’s not good for that situation. So yeah, this will be of this size. I mean, again, like I, I, I’m 2 32 inch monitors. I don’t know how I’m gonna deal with that on my Jeff: I Brett: yeah. So right now I’m looking at 2 32 inch like UHD monitors, Christina: Yeah,[00:40:00] Brett: I will say that on days when my neck hurts, it sucks. It’s a, it’s too wide a range to, to like pan back and forth quickly. Like I’ll throw my back out, like trying to keep track of stuff. Um, but I have found that like if I keep the second display, just like maybe social media apps is the way I usually set it up. And then I only work on one. I tried buying an extra wide curve display, hated it. Jeff: Uh, I’ve always wanted to try one, but Christina: I don’t like them. Jeff: Yeah. Christina: Well, for me, well for me it’s two things. One, it’s the, I don’t love the whole like, you know, thing or whatever, but the big thing honestly there, if you could give me, ’cause people are like, oh, you can get a really big 5K, 2K display. I’m like, that’s not a 5K display. That is 2 27 inch, 1440 P displays. One, you know, ultra wide, which is great. Good for you. That’s not retina. And I’m a sicko Who [00:41:00] needs the, the pixel doubling? Like I wish that my eyes could not use that, but, but, but, Jeff: that needs the pixel. Like was that the headline of your Reddit, uh, Christina: no, no. It wasn’t, it wasn’t. But, but maybe it should be. Hi, I’m a sicko who only, um, fucks with, with, with, with, with, with, with retina displays. Ask me anything. Um, but no, but that’s a good point. Brett: I think 5K Psycho is the Christina: 5K Sicko is the po is the po title. I like that. I like that. No, what I’m thinking about doing and that’s great to know, Brett. Um, this kind of reaffirms my thing. Thunderbolt KVM and Display Preferences Christina: So what’s nice about these monitors is that they come with like, built in like, um, Thunderbolt 5K VM. So, which is nice. So you could conceivably have multiple, you know, computers, uh, connected, you know, to to, to one monitor, which I really like. Um, I mean like, ’cause like look, I, I’ve bitched and moaned about the studio display, um, primarily for the price, but at the same time, if mine broke tomorrow and if I didn’t have any way to replace it, I’ve, I’ve also gone on record saying I would buy a new one immediately. As mad as I am about a [00:42:00] lot of different things with that, that the built-in webcam is garbage. The, you know, the, the fact that there’s not a power button is garbage. The fact that you can’t use it with multiple inputs, it’s garbage. But it’s a really good display and it’s what I’m used to. Um, it’s really not any better than my LG Ultra fine from 2016. But you know what? Whatever it is, what it is. Um. I, I am a 5K sicko, but being able to, um, connect my, my personal machine and my work machine at the same time to one, and then have my Windows slash Linux computer connected to another, I think that’s gonna be the scenario where I’m in. So I’m not gonna necessarily be in a place where I’m like, okay, I need to try to look at both of them across 2 32 inch displays. ’cause I think that that, like, that would be awesome. But I feel like that’s too much. Brett: I would love a decent like Thunderbolt KVM setup that could actually swap like my hubs back and Christina: Yes. MacBook Pro and Studio Comparisons Brett: Um, so, ’cause I, I have a studio and I have my, uh, Infor MacBook Pro [00:43:00] and I actually work mostly on the MacBook Pro. Um, but if I could easily dock it and switch everything on my desk over to it, I would, I would work in my office more often. ’cause honestly, the M four MacBook Pro is, it’s a better machine than the original studio was. Um, and I haven’t upgraded my studio to the latest, but, um, I imagine the new one is top notch. Christina: Oh yeah. Yeah. Brett: my, my other one, a couple years old now is already long in the tooth. Christina: No, I mean, they’re still good. I mean, it’s funny, I saw that some YouTube video the other day where they were like, the best value MacBook you can get is basically a 4-year-old M1 max. And I was like, I don’t know about that guys. Like, I, I kind of disagree a little bit. Um, but the M1 max, which is I think is what is in the studio, is still a really, really good ship. But to your point, like they’ve made those, um. You know, the, the, the new ones are still so good. Like, I have an M three max as my personal laptop, and [00:44:00] that’s kind of like the dog chip in the, in the m um, series lineup. So I kind of am regretful for spending six grand on that one, but it is what it is, and I’m like, I’m not, I’m not upgrading. Um, I mean, maybe, maybe in, in next year if, if the M five Pro, uh, or M five max or whatever is, is really exceptional, maybe I’ll look at, okay, how much will you give me to, to trade it in? But even then, I, I, but I feel like I’m at that point where I’m like, it gets to a point where like it’s diminishing returns. Um, but, uh, just in terms of my own budget. But, um, yeah, the, the new just info like pro or or max, whatever, Brett: I have, I have an M four MacBook Pro sitting around that I keep forgetting to sell. Uh, it’s the one that I, it only had a 256 gigabyte hard drive, Jeff: what happened to me when I bought my M1, Brett: and I, and I regretted that enough that I just ordered another one. But, uh, for various reasons, I couldn’t just return the one I didn’t Jeff: ’cause it was.[00:45:00] Brett: so now I, now I have to sell it and I should sell it while it’s still a top of the line machine Christina: Sell it before, sell, sell, sell, sell it before next month, um, or, or February or whenever they sell it before then the, the pros come out. ’cause right now the M five base is out, but the pros are not. So I think feel like you could still get most of your value for it, especially since it has very few battery cycles. Be sure to put the battery cycles on your Facebook marketplace or eBay thing or whatever. Um, I bought my, uh, she won’t listen to this so she won’t know, but, um, they, there was a, a killer Cyber Monday deal, uh, for Best Buy where they had like a, the, the, the, so it’s several years old, but it was the, the M two MacBook Air, but the one that they upgraded to 16 gigs of Ram when Apple was like, oh, we have to have Apple Intelligence and everything, because they actually thought that they were actually gonna ship Apple Intelligence. So they like went back and they, like, they, they, you know, retconned like made the base model MacBook Air, like 16 [00:46:00] gigs. Um, and, uh, anyway, it was, it was $600, um, Jeff: still crazy. Christina: which, which like even for like a, a, a 2-year-old machine or whatever, I was like, yeah, she, my sister, I think she’s on like, like a 2014 or older than that. Like, like MacBook Air. She doesn’t even know where the MagSafe is. I don’t think she even knows where the laptop is. So she’s basically doing everything like on her phone and I’m like, okay, you need a laptop of some type, but at this point. I do feel strongly that like the, the, the $600 or, or, or actually I think it was $650, it was actually less, it is actually more expensive than what the, the, the Cyber Monday sale was, um, the M1, Walmart, MacBook Air. I’m like, absolutely not like that is at this point, do not buy that. Right? Like, I, especially with eight gigs of ram, I’m, I’m like, it’s been, it’s five years old. It’s a, it was a great machine and it was great value for a long time. $200. Cool, right? Like, if you could get something like use and, and, and, and if you could replace the battery or, you know, [00:47:00] for, for, you know, not, not too much money or whatever. Like, I, I, I could see like an argument to be made like value, right? But there’d be no way in hell that I would ever spend or tell anybody else to spend $650 on that new, but $600 for an M two with Jeff: Now we’re talking. Christina: which has the redesign brand new. I’m like, okay. Spend $150 more and you could have got the M four, um, uh, MacBook Air, obviously all around Better Machine. But for my sister, she doesn’t need that, Jeff: What do we have to do to put your sister in this M two MacBook Christina: that, that, that, that, that, that’s exactly it. So I, I, I was, well, also, it was one of those things I was like, I think that she would rather me spend the money on toys for my nephew for Santa Claus than, than, uh, giving her like a, a processor upgrade. Um, Jeff: Claus isn’t real. Brett: Oh shit. Jeff: Gotcha. Every year I spoil it for somebody. This year it was Christina and Brett. Sorry guys. Brett: right. Well, can I tell you guys Jeff: Yeah. [00:48:00] Brett Software. Brett: two quick projects before we do Jeff: Hold on. You don’t have to be quick ’cause you could call it Brett: We’re already at 45 minutes and I want Jeff: What I’m saying, skip GrAPPtitude. This is it? Brett: okay. Christina: us about Mark. Tell us about your projects. Brett: So, so Mark three is, there’s a public, um, test flight beta link. Uh, if you go to marked app.com, not marked two app.com, uh, marked app.com. Uh, you, there’s a link in the, in the, at the top for Christina: Join beta. Mm-hmm. Brett: Um, and that is public and you can join it and you can send me feedback directly through email because, um, uh, uh, the feedback reporter sucks for test flight and you can’t attach files. And half the time they come through as anonymous feedback and I can’t even follow up on ’em. So email me. But, um, I’ll be announcing that on my blog soon-ish. Um, right now there’s like [00:49:00] maybe a couple dozen, um, testers and I, it’s nice and small and I’m solving the biggest bugs right away. Um, so that’s been, that’s been big. Like Mark, even since we last talked has added. Do you remember Jeff when Merlin was on and he wanted to. He wanted to be able to manage his styles, um, and disable built-in styles. There’s now a whole table based style manager where you Jeff: saw that. Brett: you can, you can reorder, including built-in styles. You can reorder, enable, disable, edit, duplicate. Um, it’s like a full, full fledged, um, style manager. And I just built a whole web app that is a style generator that gives you, um, automatic like rhythm calculations for your CSS and you can, you can control everything through like, uh, like UI fields instead of having to [00:50:00] write CSS. Uh, but you can also o open up a very, I’ve spent a lot of time on the code mirror CSS editor in the web app. Uh, so, and it’s got live preview as you edit in the code mirror field. Um, so that’s pretty cool. And that’s built into marts. So if you go to style, um, generate style, it’ll load up a, a style generator for you. Anyway, there’s, there’s a ton. I’m not gonna go into all the details, but, uh, anyone listening who uses markdown for anything, especially if you want ability to export to like Word and epub and advanced PDF export, um, join the beta. Let me know what you think. Uh, help me squash bugs. But the other thing, every time I push a beta for review before the new bug reports come in, I’ve been putting time into a tool. Markdown Processor: Apex Brett: I’m calling [00:51:00] Apex and um, I haven’t publicly announced this one yet, but I probably will by the time this podcast comes out. Jeff: I mean, doesn’t this count? Brett: It, it does. I’m saying like this, this might be a, you hear you heard it here first kind of thing, um, but if you go to github.com/tt sc slash apex, um, I built a, uh, pure C markdown processor that combines syntax from cram down GitHub flavored markdown, multi markdown maku, um, common mark. And basically you can write syntax from any of those processors, including all of their special features, um, and in one document, and then use Apex in its unified mode, and it’ll just figure out what. All of your syntax is supposed to do. Um, so you can take, you can port documents from one platform to another [00:52:00] without worrying about how they’re gonna render. Um, if I can get any kind of adoption with Apex, it could solve a lot of problems. Um, I built it because I want to make it the default processor in marked ’cause right now, you, you have to choose, you know, cram Christina: Which one? Brett: mark and, and choosing one means you lose something in order to gain something. Um, so I wanted to build a universal one that brought together everything. And I added cool features from some extensions of other languages, such as if you have two lists in a row, normally in markdown, it’s gonna concatenate those into one list. Now you can put a carrot on a line between the two lists and it’ll break it into two lists. I also added support for a. An extension to cram down that lets you put double uh, carrots inside a table cell and [00:53:00] create a row band. So like a cell that, that expands it, you rows but doesn’t expand the rest of the row. Um, so you can do cell spans and row spans and it has a relaxed table version where you don’t have to have an alignment row, which is, uh, sometimes we just wanna make quickly table. You make two lines. You put some pipes in. This will, if there’s no alignment row, it will generate a table with just a table body and table data cells in no header. It also allows footers, you can add a footer to a table by using equals in the separator line. Um, it, it’s, Jeff: This is very civilized, Brett: it is. Christina: is amazing, Brett: So where Common Mark is extremely strict about things, um, apex is extremely permissive. Jeff: also itty bitty things like talk about the call out boxes from like Brett: oh yeah, it, it can handle call out syntax from Obsidian and Bear and Xcode Playgrounds. [00:54:00] Um, and it incorporates all of Mark’s syntax for like file includes and even renders like auto scroll pauses that work in marked and some other teleprompter situations. Um, it uses file ude syntax from multi markdown, like, which is just like a curly brace and, uh, marked, which is, uh, left like a double left, uh, angle bracket and then different. Brackets to surround a file name and it handles IA writer file inclusion where you just type a forward slash and then the name of a file and it automatically detects if that file is an image or source code or markdown text, and it will import it accordingly. And if it’s a CSV file, it’ll generate a table from it automatically. It’s, it’s kind of nuts. I, it’s kind of nuts. I could not have done this [00:55:00] without copilot. I, I am very thankful for copilot because my C skills are not, would not on their own, have been up to this task. I know enough to bug debug, but yeah, a lot of these features I got a big hand from copilot on. Jeff: This is also Brett. This is some serious Brett Terpstra. TURPs Hard Christina: Yeah, it is. I was gonna say, this is like Jeff: and also that’s right. Also, if your grandma ever wrote you a note and it, and though you couldn’t really read it, it really well, that renders perfectly Christina: Amazing. No, I was gonna say this is like, okay, so Apex is like the perfect name ’cause this is the apex of Brett. Jeff: Yes. Apex of Brett. Christina: That’s also that, that’s, that’s not an alternate episode title Apex of Brett. Because genuinely No, Brett, like I am, I am so stunned and impressed. I mean, you all, you always impressed me like you are the most impressive like developer that I, that I’ve ever known. But you, this is incredible. And, and this, I, I love this [00:56:00] because as you said, like common Mark is incredibly strict. This is incredibly permissive. But this is great. ’cause there are those scenarios where you might have like, I wanna use one feature from one thing or one from another, or I wanna combine things in various ways, or I don’t wanna have to think about it, you know? Brett: I aals, I forgot to mention I aals inline attribute list, which is a crammed down feature that lets you put curly brackets after like a paragraph and then a colon and then say, dot call out inside the curly brackets. And then when it renders the markdown, it creates that paragraph and adds class equals call out to the paragraph. Um, and in, in Cramon you can apply these to everything from list items to list to block quotes. Like you can do ’em for spans. You could like have one after, uh, link syntax and just apply, say dot external to a link. So the IAL syntax can add IDs classes and uh, arbitrary [00:57:00] attributes to any element in your markdown when it renders to HTML. And, uh, and Apex has first class support for I aals. Was really, that was, that Christina: that was really hard, Brett: I wrote it because I wanted, I wanted multi markdown, uh, for my prose writing, but I really missed the als. Christina: Yes. Okay. Because see, I run into this sort of thing too, right? Because like, this is a problem like that. I mean, it’s a very niche problem, um, that, that, you know, people who listen to this podcast probably are more familiar with than other types of people. But like, when you have to choose your markdown processor, which as you said, like Brett, like that can be a problem. Like, like with, with using Mark or anything else, you’re like, what am I giving up? What do I have? And, and like for me, because I started using mul, you know, markdown, um, uh, largely because of you, um, I think I was using it, I knew about it before you, but largely because of, of, of you, like multi markdown has always been like kind of my, or was historically my flavor of choice. It has since shifted to being [00:58:00] GitHub, labor bird markdown. But that’s just because the industry has taken that on, right? But there were, you know, certain things like in like, you know, multi markdown that work a certain way. And then yeah, there are things in crammed down. There are things in these other things in like, this is just, this is awesome. This Brett: It is, the whole thing is built on top of C mark, GFM, which is GitHub’s port of common mark with the GitHub flavored markdown Christina: Right. Brett: Um, and I built, like, I kept that as a sub-module, totally clean, and built all of this as extensions on top of Cmar, GFM, which, you know, so it has full compatibility with GitHub and with Common Merck by out, like outta the box. And then everything else is built on top of that. So it, uh, it covers, it covers all the bases. You’ll love it Christina: I’m so excited. No, this is awesome. And I Brett: blazing fast. It can render, I have a complex document that, that uses all of its features and it can render it in [00:59:00] 0.006 seconds. Christina: that’s awesome. Jeff: Awesome. Christina: That’s so cool. No, this is great. And yeah, I, and I think that honestly, like this is the sort of thing like if, yeah, if you can eventually get this to like be like the engine that powers like mark three, like, that’ll be really slick, right? Because then like, yeah, okay, I can take one document and then just, you know, kind of, you know, wi with, with the, you know, ha have, have the compatibility mode where you’re like, okay, the unified mode or whatever yo

In this reflective and inspiring solo episode, Tina Tower shares her most impactful business and personal lessons from 2025. As the year draws to a close, Tina pulls back the curtain to reveal the decisions, pivots, and strategies that led to her most expansive, profitable, and joy-filled year to date. Key Topics Covered Design Your Business Around What Matters: Tina Tower emphasizes aligning your business to your values and lifestyle goals, highlighting how she achieved the best balance ever this year. Information Courses Are Dead: There's a major industry shift; pure information is now easily accessible via AI. What sells is transformation, accountability, and live, high-touch elements tailored for true results. AI Is a Game Changer: Tina Tower leaned heavily into AI, streamlining operations and freeing up more time for client connection and creativity. She discusses specific tools (Delphi, Freepik, custom GPTs) and how they enhanced delivery and impact. Brand Consolidation for Simplicity: After experimenting with multiple spin-off brands, she consolidated everything back under Her Empire Builder for clarity and ease—making the customer experience and promotions much simpler. Small But Mighty Team: Tina Tower optimized her team to just a few core members, focusing on high trust, strong culture, and prioritizing profitability and lifestyle over scale. Evergreen Funnels & Consistent Revenue: Significant investment and effort in building robust evergreen funnels and leveraging affiliate sales have enabled consistent revenue throughout the year, reducing launch dependence. Prioritizing Health & Energy: Personal wellbeing had a transformative ripple effect on her business performance, boundaries, and overall happiness. Strong Boundaries Create Greater Joy: Being intentional and sometimes "selfish" with time and commitments allowed Tina Tower to focus energy where it mattered most. Travel & Creativity: A year rich with travel (both for work and leisure) fuelled creativity and underscored the importance of enjoying success along the journey—not just at "retirement." Intimate Masterminds Are Most Impactful: Smaller groups and deeper connections have delivered more value both for members and for Tina's fulfillment as a coach. As you reflect on these lessons, let them be an invitation to design a business and a life that feels both profitable and deeply fulfilling. 2025 proved that success isn't about doing more, but about doing what matters with clarity, intention, and joy. As you move into a new year, may Tina's insights remind you that you can simplify, elevate, and still create extraordinary impact. The future is bright, and the best chapters are yet to be written.   Resources Mentioned: Entrepreneurs Holiday Survival Guide: https://www.herempirebuilder.com/break   Where to find Tina: Her Empire Builder: https://www.herempirebuilder.com/ Instagram: https://www.instagram.com/tina_tower/ YouTube: https://www.youtube.com/@herempirebuilder

AI is evolving fast — and the restoration industry is feeling the impact. In this episode, David Grove, from BYLT Restoration, joins Michelle to break down the most practical, business-ready AI tools restorers should be using right now.They dive into the latest updates from ChatGPT, OpenAI's Sora 2, and Google Gemini, plus the real-world workflows these tools can automate. From email scheduling and dictation to contract drafting, custom GPTs, project management, and company-trained models, this episode shows how AI can streamline your ops without the hype.They also unpack the risks of the AI bubble, the role of AEO and SEO in discoverability, and why training AI on your own company data is now essential.

Dans cet épisode, découvre les coulisses de la lead generation, avec Tony Berthomé, fondateur de l'agence Leverage, ex-Google & Microsoft, et l'un des experts les plus pointus de sa génération sur la performance, l'acquisition et l'usage concret de l'IA dans les opérations marketing.Tony partage comment il débloque la croissance des entreprises qu'il accompagne : du vrai terrain, de la pédagogie, et énormément de valeur actionnable.

AI is evolving fast — and the restoration industry is feeling the impact. In this episode, David Grove, from BYLT Restoration, joins Michelle to break down the most practical, business-ready AI tools restorers should be using right now.They dive into the latest updates from ChatGPT, OpenAI's Sora 2, and Google Gemini, plus the real-world workflows these tools can automate. From email scheduling and dictation to contract drafting, custom GPTs, project management, and company-trained models, this episode shows how AI can streamline your ops without the hype.They also unpack the risks of the AI bubble, the role of AEO and SEO in discoverability, and why training AI on your own company data is now essential.

Modelos de Inteligência Artificial como ChatGPT, Gemini e Claude já fazem parte da nossa rotina e impressionam pela forma como imitam o raciocínio humano. Mesmo assim, fica cada vez mais claro que eles ainda operam dentro de limites importantes: são excelentes com linguagem, mas não necessariamente com pensamento profundo. No episódio de hoje, Igor Alcantara discute uma nova linha de pesquisa que promete mudar esse cenário. O HRM, ou Hierarchical Reasoning Model, é uma proposta recente que busca criar sistemas capazes de raciocinar de verdade, indo além da previsão de palavras e da simulação de lógica.Neste episódio, Igor explica como o HRM funciona, por que ele é tão diferente das arquiteturas atuais e o que seus resultados revelam sobre o futuro da inteligência artificial. Com apenas 27 milhões de parâmetros e sem depender de textos gigantes para treinar, esse modelo superou LLMs muito maiores em tarefas de raciocínio avançado como Sudokus extremos, labirintos complexos e puzzles de abstração. Uma conversa clara e direta sobre uma tecnologia que pode redefinir como pensamos IA, abrir novas fronteiras de pesquisa e, talvez, indicar os primeiros passos rumo a máquinas que realmente pensam.Este é o Variância, um Spin-off do podcast Intervalo de Confiança, com periodicidade mensal. Este programa é mais curto e tem por objetivo trazer notícias ou curiosidades sobre algum assunto relacionado à ciência e jornalismo de dados ou sobre algum dado específico. Por ser mais curto, tanto a edição e conteúdo são mais simples e mais diretos.A Pauta foi escrita por Igor Alcantara. A edição foi feita por Leo Oliveira e a vitrine do episódio feita por Igor Alcantara. A coordenação de redação e de redes sociais é de Tatiane do Vale. As vinhetas de todos os episódios foram compostas por Rafael Chino e Leo Oliveira.Visite nosso site em: https://intervalodeconfianca.com.br/Conheça nossa loja virtual em: https://intervalodeconfianca.com.br/lojaPara apoiar esse projeto: https://intervalodeconfianca.com.br/apoieSiga nossas redes sociais:- Instagram: https://www.instagram.com/iconfpod/- Youtube: https://www.youtube.com/IntervalodeConfianca- Linkedin: https://www.linkedin.com/company/iconfpod- X (Twitter): https://twitter.com/iConfPod

This is Vibe Coding 001. Have you ever wanted to build your own software or apps that can just kinda do your work for you inside of the LLM you use but don't know where to start? Start here. We're giving it all away and making it as simple as possible, while also hopefully challenging how you think about work. Join us. Beginner's Guide: How to visualize data with AI in ChatGPT, Gemini and Claude -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.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:Combining Multiple Features in Large Language ModelsVisualizing Data in ChatGPT, Gemini, and ClaudeCreating Custom GPTs, Gems, and ProjectsUploading Files for Automated Data DashboardsComparing ChatGPT Canvas, Gemini Canvas, and Claude ArtifactsUsing Agentic Capabilities for Problem SolvingVisualizing Meeting Transcripts and Unstructured DataOne-Shot Mini App Creation with AITimestamps:00:00 "Unlocking Superhuman LLM Capabilities"04:12 Custom AI Model and Testing07:18 "Multi-Mode Control for LLMs"12:33 "Intro to Vibe Coding"13:19 "Streamlined AI for Simplification"19:59 Podcast Analytics Simplified21:27 "ChatChibuty vs. Google Gemini"26:55 "Handling Diverse Data Efficiently"28:50 "AI for Actionable Task Automation"33:12 "Personalized Dashboard for Meetings"36:21 Personalized Automated Workflow Solution40:00 "AI Data Visualization Guide"40:38 "Everyday AI Wrap-Up"Keywords:ChatGPT, Gemini, Claude, data visualization with AI, visualize data using AI, Large Language Models, LLM features, combining LLM modes, custom instructions, GPTs, Gems, Anthropic projects, canvas mode, interactive dashboards, agentic models, code rendering, meeting transcripts visualization, SOP visualization, document analysis, unstructured data, structured insights, generative AI workflows, personalized dashboards, automated reporting, chain of thought reasoning, one-shot visualizations, data-driven decision-making, non-technical business leaders, micro apps, AI-powered interfaces, action items extraction, iterative improvement, multimodal AI, Opus 4.5, Five One Thinking, Gemini 3 Pro, artifacts, demos over memos, bespoke software, digital transformation, automated analyticsSend 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 

Rory and Drew celebrate crawling their way to 30k subs, then immediately prove they are barely qualified to handle it by turning a Stranger Things binge into a full-blown lecture on composition, lighting, and how to reverse-engineer blockbuster shots into Midjourney and Nano Banana Pro prompts. They talk like film school dropouts who discovered prompts instead of lenses. From there, they unpack fresh Midjourney office hours: the upcoming UI/UX overhaul with continuous scrolling, better color control, a reworked style system, and the big one: parallel edit models that finally keep you inside Midjourney instead of forcing you into five other tools. They break down what “better text handling” could realistically mean for real-world client work, what to expect from Midjourney V8 training in January, and why business use cases will decide who actually wins this model war. Then it's a long, dangerous slide into Nano Banana Pro obsession. They show how they are using it for real campaigns: ingredient flat-lay diagrams with perfect labels, knolling that actually respects object counts, thumbnail iterations in minutes, hyper-real food tweaks (“make the cheese more brown and bubbly”) and product work where text on bottles and labels actually holds up. Think: turning moodboards into branded cars, movie-poster typography onto existing art, and multi-shot car sequences that are clean enough to use as video keyframes. In the back half, they zoom out into systems: building custom Nano tools in Google AI Studio, using JSON prompts, if-then logic, and style libraries to create reusable pipelines for teams that are not prompt nerds. They rant about broken N8N workflows, fake Instagram “AI automation” grifts, and share where affiliate tools actually see conversions today across YouTube, X, and LinkedIn. It is part Midjourney V8 rumor mill, part Nano Banana Pro clinic, part therapy session for creatives trying to stay sane in an algorithm that clearly prefers trolls and evolving Pokémon. --⏱️ Midjourney Fast Hour00:00 Midjourney Fast Hours hits 30k subs01:28 Stranger Things S5, film craft & AI framing05:39 Turning cinematic shots into AI prompts07:33 Pop culture prompts, memes & brand tie-ins08:38 Nano Banana branding tricks & model hype cycle09:38 Midjourney swag, “non-sponsored sponsors”10:12 Midjourney UI overhaul & scrolling-style feed15:46 Midjourney edit models and in-app image editing20:16 Midjourney V8 timing, text handling & business use24:41 Midjourney vs other models for real client work26:47 Free image tools, casual users & competition30:57 Nano Banana Pro: real-world client use cases36:31 Micro edits, product shots & text stress tests42:33 Product versioning, depth tests & asset variants44:25 Car branding, moodboards & Nano video keyframes46:20 Polaroid race car branding & design details50:09 Building custom Nano tools in Google AI Studio55:21 Style libraries, handoff workflows & reverse prompts59:17 If-then logic for prompts, GPTs & image systems01:03:01 From tokens to full-blown image systems01:04:21 Instagram grifts, empty funnels & manychat rage01:05:15 Platforms that actually convert for AI tools01:06:38 Algorithm chaos, Pokémon and death threats01:06:58 Midjourney swag, the Faye cameo & water bottle talk01:07:58 Future video model hype, skepticism & sign-off

Send us a textStill explaining your business to ChatGPT like it's a temp with amnesia? You're wasting 12 weeks a year—and I'm about to help you win them back.In this tactical Tuesday workshop, Dawn Andrews unveils the three custom GPTs every founder needs to reclaim their time, sharpen their strategy, and scale like a CEO. You'll learn exactly how to build your first AI teammate—your Decision-Maker GPT—in under 10 minutes. If you're tired of re-explaining your business and craving AI that actually gets you, this episode is your gateway to clarity and efficiency.Join the Insider Email Community at hellodawn.live/insider to get access to exclusive GPT Build Days, training templates, and advanced workflows that actually sound like YOU.Key Takeaways:The top 3 custom GPTs that act like AI employees: Decision-Maker, Brand Voice, and Team DelegatorReal-world examples of how founders are saving 10+ hours a week using custom GPTsStep-by-step walkthrough for building your first GPT inside ChatGPT (no tech overwhelm)How to iterate and refine your GPT over time for better decisions, better content, and better delegationThe mindset shift that separates AI amateurs from AI-powered CEOsResources & Links:Join the Insider Email CommunityRelated Episodes:098 | The AI Content System That Sounds Like You (In 10 Minutes) — builds on the “Brand's voice as system” idea. 072 | How Female Founders Delegate Like a CEO Before They Burn Out — ties into the “Team Delegator” angle. 079 | Your Attachment to the Founder Struggle is expensive — relevant mindset + systems framework episode.Want to increase revenue and impact? Listen to “She's That Founder” for insights on business strategy and female leadership to scale your business. Each episode offers advice on effective communication, team building, and management. Learn to master routines and systems to boost productivity and prevent burnout. Our delegation tips and business consulting will advance your executive leadership skills and presence.

In today's episode I look at consumer shifts that are or will be changing our business. From the increase in GLPs to nostalgia. I also look back at the month of November in the business and what I've seen trending across social media.This is the last episode for 2025, I'll be back in January.Merry Christmas If you have a question or feedback about this episode you can message me here. Thank you for listeningYou can connect with me via:Instagram: Adventures in KakelandAdventures in kakeland studio: Creative projects, custom GPTs, books and resourcesPublished books for hobbyist and cake business owners. A food management system: for small home based food businesses Bake -cover-finish -deliver: undated Weekly baking planner Cake business order form book Cake business Social media planner Dated weekly cake business planner (2026) My Business social media channelsInstagram: Kake and CupkakeryFacebook: Kake and Cupkakery...

You know your expertise inside and out. You've got proven processes that deliver real results. But here's the problem: your business only grows as fast as you can personally deliver. Sound familiar? This week's guest, Ryan Musselman, cracked the code on something most service business owners struggle with—creating systems that scale your expertise without making everything feel automated and soulless. The Custom GPT Framework That Saves 15+ Hours Per Week Ryan didn't just throw ChatGPT at his content problem. He built an interconnected ecosystem of custom GPTs that generate stories, case studies, and sales copy that actually sounds human. Here's what makes his approach different: each GPT knows exactly what it's supposed to do, how it should sound, and what outcomes to deliver. The result? Content that scales without sacrificing quality or authenticity. Why Your AI Content Sounds Like a Robot (And How to Fix It) Most business owners try AI once, hate the generic output, and give up. Ryan shares his process for identifying the telltale phrases that scream "this was written by AI" and systematically eliminating them from his system. This isn't a one-time setup—it's a continuous improvement loop that gets better with each iteration. Sound like someone's approach you know? The Onboarding System That Catches Problems Before They're Expensive Here's where it gets really interesting for service businesses: Ryan built a centralized feedback system that gathers client input from day one. No more wondering if your onboarding process has friction points. No more clients silently struggling with parts of your program. Instead, you get immediate visibility into what's working and what needs adjustment—before small issues become big problems that cost you clients. What Actually Matters When You're Building a Business In a refreshingly honest moment, Ryan pulls back the curtain on his personal systems for maintaining perspective. Daily exercise. Journaling. Prayer. These aren't just nice-to-haves—they're the foundation that keeps him from getting lost in the weeds of running a 7-figure coaching business. Because here's the truth: the best systems in the world won't matter if you burn out trying to implement them. The Most Valuable Insight There's no single "right way" to grow a service business. Ryan's systems work brilliantly for him, but the real lesson isn't about copying his exact approach. It's about finding the systems and processes that align with your personality and strengths. Some coaches thrive on intimate, high-touch relationships with a small group of clients. Others excel at scaling through group programs and automation. Both can build highly successful businesses—they just require different systems. Why This Matters for Your Business If you're running a service-based business and feel stuck at your current revenue ceiling, chances are it's not a strategy problem. It's a systems problem. Ryan's approach shows you how to: Leverage AI without losing the human touch that makes your business special Build feedback loops that help you improve continuously Create operational systems that free up your time instead of consuming it Stay grounded in what actually matters while scaling This episode is packed with practical, implementable ideas you can test in your business this week. No fluff. No theory. Just real systems from someone who's already figured out what works at scale. Listen now to discover how to build magnetic systems that help your business grow without requiring you to clone yourself.Want help designing systems that make your business more effective? Let's talk about creating feedback loops that catch problems early and turn your team into problem solvers.Learn more about working together.

In this powerhouse episode, Coach JVB — President of STRONG Fitness Magazine and mentor to hundreds of online trainers — breaks down the four disruptive shifts that will redefine the coaching industry in 2026.This isn't a prediction.It's a warning.AI is accelerating.Client expectations are evolving.Health data is becoming mainstream.And the coaches who adapt will dominate — while everyone else gets left behind.Whether you're a new trainer or a seasoned coach, this episode gives you the roadmap to stay competitive, innovative, and in demand. What You'll Learn in This Episode1. Why AI will force coaches to operate at light speedNot “AI for ideas.”Not “Ion think.”Learn why custom GPTs, client-access AI systems, and automation will expose weak offers… and massively amplify strong coaching frameworks.2. Why the future coach must collaborate with health practitionersClients want precision, not guesswork.You'll learn why understanding labs, hormones, GLP-1s, recovery, and medications is becoming essential — and how coaches can ethically partner within a health team.3. How DNA-driven coaching will revolutionize personalizationThis is the next massive evolution in program design.Discover how genetics will shape training, recovery, nutrition, and longevity — and why coaches who can interpret this data will become industry leaders.4. How to stand out in the noisiest content era in historyThe algorithm is more crowded than ever.The solution is not “more content” — it's one clear niche, one problem, and one traffic source.Learn the strategy that will make you the go-to authority in your space. Why This Episode Matters2026 will reward coaches who innovate — not imitate.The industry is no longer about who posts the most.It's about who delivers the deepest results, the smartest systems, and the most precise support.This episode shows you exactly where the industry is moving…and how to get ahead of it now instead of trying to catch up later. If you want to stay ahead of the coaching industry, here's my top 6 Podcast episodes -- CLICK HEREReady to launch and grow your Online Coaching Business -- CLICK HEREBody Transformation Application - CLICK HEREFollow Coach JVB on IG - @Coach_JVB Connect with Jenny (Coach JVB)Instagram: @coach_jvbWORK WITH ME - https://strongjvb.typeform.com/to/aqFEZtP1Website: coachjvb.comSubscribe  to STRONG Fitness Mag - Use Code STRONGGIRLS3 - https://simplecirc.com/subscribe/strong-fitness-magazine  DISCLAIMER: The opinions, beliefs, and viewpoints expressed by the hosts and guests on this podcast do not necessarily represent or reflect the official policy, opinions, beliefs, and viewpoints of Disenyo.co LLC and its employees.

Send us a textDr. Sarah Johnson is the CEO and President of Teaching Lab and Relay Graduate School of Education, leading their AI-enabled product innovation and educator preparation initiatives. She is joined by Teaching Lab Studio fellows: Riz Malik, creator of Coteach, a curriculum-aligned AI assistant for math teachers; Gautam Thapar, CEO of Enlighten AI, a personalized AI grading and feedback platform; and Louisa Rosenheck, co-lead of NISA and the Tangle & Thrive research project, focused on AI-powered instructional coaching and student engagement.

#696 What if you could tap into an AI-powered business coach — one that's available 24/7, never forgets a conversation, and helps you find, evaluate, and negotiate your next business acquisition? In this episode hosted by Brien Gearin, serial entrepreneur and podcast host Nik Hulewsky returns to the show to break down how he's leveraging AI to find and buy businesses faster and smarter than ever before. Nik shares real-world examples of how AI is being used to save time, cut costs, and make better decisions — from analyzing contracts to summarizing investor calls and brainstorming deal structures. Whether you're AI-curious or already experimenting, Nik explains exactly how to start, what tools to use, and how to train AI to become your smartest business advisor! (Original Air Date - 4/24/25) What we discuss with Nik: + AI as a business advisor + Using AI to buy businesses + Recording and summarizing meetings + Training AI with personal context + GPTs for contract analysis + Four C's of effective prompting + Why agents are overhyped (for now) + Future-proofing your business with AI + Avoiding the AI adoption gap + Real-world AI business use cases Thank you, Nik! Check out Nikonomics at ⁠NikonomicsPod.com⁠. Follow Nik on ⁠Twitter⁠. Watch the ⁠video podcast⁠ of this episode! To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. And follow us on: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tik Tok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Want to hear from more incredible entrepreneurs? Check out all of our interviews ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! Learn more about your ad choices. Visit megaphone.fm/adchoices

Are you scared AI is going to replace you as a service provider? I get it—but here's the truth: AI isn't your competition, it's your co-creator. In this episode, I'm breaking down exactly how I use AI in my business (without losing my human touch), how it's helped me grow faster, create better content, and work fewer hours.We're ditching the fear-mongering and talking real strategies for service providers, social media managers, and content creators to thrive in the age of AI.Plus, you'll get a behind-the-scenes look at how I've integrated AI into my content workflows, trained my own custom GPTs, and how YOU can do the same—starting today.

It's a holiday week for many of us, which means a lot of Turkey Trots and a lot of TV. We have something for both in this episode! First, Nick Thompson, the CEO of The Atlantic and author of the new book, The Running Ground, joins the show to talk about his lifelong journey as a runner, and all the tech — from smartwatch to shoes to custom GPTs — he uses in training. After that, The Verge's John Higgins makes his first Vergecast appearance to help us understand how motion smoothing works, why you should turn it off, and all the other ways you can improve your TV watching experience this holiday season. Finally, David follows up on a question on the Vergecast Hotline (call 866-VERGE11 or email vergecast@theverge.com!) with some recommendations on inexpensive earbuds worth cranking up the volume on. Further reading: Nick Thompson's book, The Running Ground From The Atlantic: Why I Run TV manufacturers unite to tackle the scourge of motion smoothing Dear Roku, you ruined my TV How to turn off motion smoothing on your high-definition TV Samsung's Frame TV is finally getting the knockoffs it deserves Samsung announces The Frame Pro: could this be the perfect TV? Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

This week, in Episode 272, Liz Picarazzi and Jaci Russo compare notes with Ted Wolf on their very different journeys to integrate generative AI into their businesses. For Liz, it's been frustrating. She resisted AI at first—but while she's ready to go now, her COO, who also happens to be her husband, still isn't there. That's one reason Liz says she feels as though she's been spinning her wheels. Jaci's path couldn't have been more different. She jumped in more than two years ago, took every course she could find, and now has custom GPTs talking to custom GPTs talking to custom GPTs. The AI tool she built delivers 10 fresh, fully vetted prospects to her inbox every morning. “It will find the person in charge of marketing,” she says. “It will find their LinkedIn profile. It will find the company website. It will find their competitors.” And it has already produced two new clients. Plus: As this especially challenging year winds down, Liz, Jaci, and Ted reflect on where their businesses hit expectations and where they fell short. Jaci notes a sales hire that failed. “I would have liked to have not spent the money on that person and had this epiphany without the pain,” she says, “but I think those two things just go hand in hand.” Liz cites her $400,000 tariff bill: “It really hurts, and it makes me angry,” she tells us. “But in terms of revenue, we're doing well, I gotta admit. Thank God for New York City rats and trash.”

Picture this: you're scaling your business without burning out. Actually, let me be more specific—you're scaling with the help of a team that never sleeps, never needs a vacation, and costs you almost nothing. Sound impossible? It's not. And today's guest is here to show you exactly how. Natalie MacNeil is an Emmy Award-winning media entrepreneur, a futurist, and a visionary when it comes to AI and entrepreneurship. She's actively reshaping how we build businesses with her AI Dream Team™, a system of 40+ custom GPTs designed to support every core function of a business. If you've been drowning in the day-to-day, if you're tired of being the bottleneck in your own business, or if you're curious about how to use AI with integrity and strategy, this conversation is going to change how you work. Curious about having an AI Dream Team of your own? Check out https://www.jennakutcher.com/AI! If you embrace your AI partnership, and follow Natalie's proven framework, it will amplify your reach and multiply your impact as a transformational leader. And the more of us using AI ethically and for good, the brighter our collective future will be! Visit https://www.jennakutcher.com/AI to learn more. Goal Digger Facebook Community: https://www.facebook.com/groups/goaldiggerpodcast/ Goal Digger Instagram: https://www.instagram.com/goaldiggerpodcast/ Goal Digger Show Notes: https://jennakutcherblog.com/build-your-ai-dream-team  Thanks to our Goal Digger Sponsors: Sign up for your $1/month Shopify trial period at http://shopify.com/goaldigger. Find a co-host today at http://airbnb.com/host. Check out What Should I Do With My Money? from Morgan Stanley. Listen now at https://mgstnly.lnk.to/bqe8HiAC!GD.  Visit http://www.spectrum.com/freeforlife to learn how you can get Business Internet Free Forever. Experience the power of a Dell PC with Intel Inside®, backed by Dell's price match guarantee. Shop now at https://www.dell.com/deals. Your dream wardrobe's one click away. Visit https://www.revolve.com/goaldigger for 15% off your first order with code GOALDIGGER.

In this week's pep talk, I am sharing how we're using AI and real human support to help clients move faster without sacrificing connection. It's the behind-the-scenes look at our hybrid model that's restoring time—not replacing your role. In today's episode, I share:02:30 – Why AI speeds things up but never replaces being seen and supported by real humans03:41 – How I leaned into learning AI from scratch and built tools that reduce spinning and increase clarity04:47 – The process of creating our custom GPTs and why they handle 60% of the heavy lifting05:43 – How our hybrid model blends strategy, systems, and soul for deeper transformation06:31 – What themed office hours look like and how AI drafts help members get more done with less prep07:23 – Why 1:1 strategy calls still matter (and what AI can't decide for you)08:07 – How daily Slack accountability keeps clients moving with fast, personalized feedback09:42 – The accountability systems we use to track progress without pressure11:48 – Real client examples of using AI to plan faster, repurpose better, and sell more confidently15:39 – The true magic: AI creating space for deeper community, connection, and support16:50 – My final reflection on why “tech with a human touch” is the new standard for sustainable business growth 

Sponsored by Berries: Use code TherapyShow50 for $50 off your first month - CLICK HERE.   If you are a therapist or counselor looking for continuing education, check out my NBCC Approved $5 Podcourses and other continuing education offerings. Plus, get your first Podcourse half off. I'm thrilled to welcome back my good friend and brilliant multi-passionate entrepreneur, Kym Tolson. If you've ever wondered how therapists can use AI to streamline their work, generate new income streams, or simply stop drowning in admin tasks, you're going to love this conversation. Kym and I dive deep into her newest creation, The Thera AI Hub, a growing collection of over 35 done-for-you AI tools built specifically for therapists. From custom GPTs, to newsletter-building agents, to niche-finding and scalable-offer creators, Kym shows how therapists can reclaim their time, reduce burnout, and finally move toward the ideas they've been sitting on for years. We also explore the evolving role of AI in mental health care including the big news about Cigna using AI as a first-line support tool, and talk candidly about what this means for the future of our field. Kym shares how therapists can stay relevant, adapt intentionally, and develop specialties AI can't replace. Plus, she gives us an exciting look at upcoming features inside Berries, the AI-powered therapy note scribe where she serves as Clinical Director. Think smart treatment plans, automatic session summaries, homework suggestions, and even telehealth and EMR capabilities on the horizon. If you're curious about leveraging AI to enhance your clinical work, build new offers, or simplify your business systems, this episode is packed with inspiration, practical tips, and plenty of "oh wow" moments. I can't wait for you to listen. Kym always brings so much clarity, creativity, and encouragement. I know you'll walk away with at least one idea you're excited to try. Links mentioned in the episode:  Get my CE Course Builder for Mental Health Clinicians for FREE Thera AI Hub + Clinical AI Club: https://kymtolson.kartra.com/page/AI-Tools-for-Therapists AI Newsletter Opt In/Mastering AI Prompts for Therapists: https://kymtolson.kartra.com/page/Join-AI-Newsletter AI Powered Private Practice Giveaway: https://kingsumo.com/g/m88558m/ai-powered-practice-giveaway Check out all my Counselor Resources. 

If you've ever wondered how Joe somehow whips up a custom GPT for literally everything, from content creation to arguing with him when ChatGPT gets too agreeable, this is the episode you've been waiting for. Carly finally asks the question the whole community's been thinking: “How is Joe doing that?” And this time, he actually shows us.Step-by-step.On-screen.In real time.Whether you want a GPT that writes in your brand voice, handles your workflows, or just keeps you honest (looking at you, You're Wrong GPT), Joe breaks down exactly how he builds them: what's easy, what you need to prepare, and what most solopreneurs totally overlook.If you've ever said, “I wish a GPT could do this for me…” Good news: after this episode, it can.FAQs From The EpisodeDo I actually need a paid ChatGPT plan to create my own GPTs?Yes. As Joe explains, GPT creation isn't available on the free plan. You'll need the $20/month subscription to access the “Create” option. The good news? If you use even a handful of AI-powered tasks in your business, you'll easily make that cost back in saved time.What kind of “training material” do I need to upload to build a useful GPT?Think brand voice guides, examples of past content, frameworks you use, instructions you follow, or any assets that show how you want your GPT to think and write. More clarity = better output. You don't need a huge pack of documents, just a few strong examples go a long way.How do I know what kind of GPT I should create for my business?Start with the tasks you repeat constantly or the ones that drain the most time: content creation, email drafts, lead gen messages, customer onboarding, proposals, social captions, etc. If you've ever said, “I wish someone could just do this for me,” that's the perfect candidate for a custom GPT.

In this episode, Heather sits down with Dr. Rachel Gainsbrugh from Short Term Gems to explore how artificial intelligence is changing the way short-term rental businesses operate. Rachel shares how she moved from being a pharmacist to building a real estate education company focused on medical professionals, and how AI is now a core part of that mission. They discuss how AI is helping hosts get more done with less effort, speed up onboarding, reduce mistakes, and support team members in delivering better guest experiences. Rachel gives examples from her work building hundreds of GPTs, creating custom tools, and teaching property managers how to automate without losing the personal touch. Whether you're just curious or already using AI, you'll walk away with practical ideas to try in your business. ________________________________________________________________________________________________________

In this episode, my guest is Will Penney, a veteran real estate professional from Stow, Ohio, and team leader with eXp Realty. Licensed since the 1980s, Will's story spans from pager-and-car-phone days to building a multimillion-dollar business and a 200-agent organization. He shares practical, grounded insights on how AI fits into real estate, why agents shouldn't fear it, and how tools like NotebookLM and custom GPTs can help agents work smarter, not harder. Podcast:  My First Million Guest: Will Penney Instagram: https://www.instagram.com/thewillpenney/  Website: https://penneyrealestate.com/ LinkedIn: https://www.linkedin.com/in/will-penney-192529145    Host: Rajeev Sajja Website: http://www.realestateaiflash.com    Facebook: https://www.facebook.com/rsajja  Instagram: http://www.instagram.com/fcamsajja  LinkedIn: http://www.linkedIn.com/in/rsajja    Resources:  AI Playbook - http://www.realestateaiflash.com  $10 off for Plaud AI Notetakers for Podcast listeners - https://realestateaiflash.com/partners/  Join our Instagram Real Estate AI Insiders Channel - https://ig.me/j/AbZCJG37DqBPPtxi/ Subscribe to our weekly AI Newsletter: https://realestateai-flash.beehiiv.com/subscribe  Join the Real Estate AI Academy Wait list - https://realestateaiflash.com/academy   

In this episode, we dive deep into the power of generative AI with Brad Thompson, Business Solutions Director at SDB Contracting Services. With over 20 years of experience bridging marketing, IT, and app development, Brad shares his passion for efficiency, innovation, and problem-solving. We explore: The difference between prompt engineering and context engineering and how to master both. Practical applications of AI in the AEC industry, from simplifying technical jargon to creating high-impact proposals. Tools like Notebook LM, custom GPTs, and automation platforms that are revolutionizing workflows. The surprising ways AI can enhance social media, business development, and even interview prep. Insights on balancing risk and reward when using AI for sensitive information. Brad also shares his favorite tools, tips for automating tedious tasks, and how AI is helping professionals focus on what truly matters. Whether you're an AI enthusiast or just starting to explore its potential, this episode is packed with actionable insights and inspiration.

We reframe SEO for an AI-first world and show how agentic workflows turn messy sales processes into predictable follow-through. Matthew Bertram and Stephen Werley discuss how to map the stack, from transcripts and enrichment to Slack-driven next actions that recover hidden revenue.• rebrand to Best SEO Podcast and new AI-derived book• why LLMs matter for analysis, decks, and feedback• custom GPTs tuned with domain knowledge• building automations in n8n, Make, ClickUp, and HighLevel• human in the loop as the quality guardrail• data enrichment with RB2B and Clay for true personalization• marketing, RevOps, and agent orchestration converge• LLM visibility certification and next stepsGuest Contact Information: Website: stevenwerley.comLinkedIn: linkedin.com/in/stevenwerleyInstagram: instagram.com/stevewerleyFacebook: facebook.com/steven.werleyMore from EWR and Matthew:Leave us a review wherever you listen: Spotify, Apple Podcasts, or Amazon PodcastFree SEO Consultation: www.ewrdigital.com/discovery-callWith over 5 million downloads, The Best SEO Podcast has been the go-to show for digital marketers, business owners, and entrepreneurs wanting real-world strategies to grow online. Now, host Matthew Bertram — creator of LLM Visibility™ and the LLM Visibility Stack™, and Lead Strategist at EWR Digital — takes the conversation beyond traditional SEO into the AI era of discoverability. Each week, Matthew dives into the tactics, frameworks, and insights that matter most in a world where search engines, large language models, and answer engines are reshaping how people find, trust, and choose businesses. From SEO and AI-driven marketing to executive-level growth strategy, you'll hear expert interviews, deep-dive discussions, and actionable strategies to help you stay ahead of the curve. Find more episodes here: youtube.com/@BestSEOPodcastbestseopodcast.combestseopodcast.buzzsprout.comFollow us on:Facebook: @bestseopodcastInstagram: @thebestseopodcastTiktok: @bestseopodcastLinkedIn: @bestseopodcastConnect With Matthew Bertram: Website: www.matthewbertram.comInstagram: @matt_bertram_liveLinkedIn: @mattbertramlivePowered by: ewrdigital.comSupport the show

Matt Knaggs, Senior Business Value Lead at Zilliant, brings a decade of pricing insight shaped by an unexpected leap from industrial safety into commercial excellence. Known for blending analytics, AI, and practical sales enablement, he now helps B2B companies make smarter, more confident pricing decisions by pairing data science with human judgment. In this episode, Matt and Mark dive straight into the real-world intersection of pricing and AI, where deterministic models still set prices, GenAI fills in missing context, and messy CRM data finally becomes usable.  Matt shares how he built a custom GPT that builds other GPTs, why "pricer in the loop" is essential, and how AI can elevate pricing teams without replacing them. They unpack the future of pricing, the danger of outsourcing expertise, and why curiosity beats perfection in an AI-driven world.   Why You Have to Check Out Today's Episode: Learn how AI can enhance pricing (without setting prices for you) - including specific use cases where GenAI adds context, fills data gaps, and boosts pricer effectiveness. Discover the "Pricer in the Loop" model and why Matt believes humans will remain essential for trust, validation, nuance, and internal adoption. See how to use AI as a thought partner - to generate buyer problems, value drivers, competitive alternatives, and messaging frameworks that accelerate value-based pricing.   "Don't hide from all of the advancements in AI. It can be scary and intimidating, but try what you can. AI won't tattle on you for asking dumb questions." - Matt Knaggs   Topics Covered: 03:30 – How Matt Went From Safety to Pricing—and Why the Discipline Hooked Him 04:22 – The Reality of AI in Pricing: What Matt Sees Working (and Failing) Inside Companies 11:58 – Matt Reacts to Mark's Approach: Using AI to Map Buyer Context 15:34 – When a Pricing Expert Builds AI That Builds AI: Matt's Custom GPT Story 19:01– The Messy Data Problem Every Pricer Knows… and How Matt Uses AI to Fix It 24:09– Matt's Honest Take on the Future: Why AI Won't Replace Pricers Anytime Soon 27:34 – The Threat to Expertise: Matt and Mark Explore What Happens When People Outsource Thinking 31:53 – What AI Can Do for Pricing Strategy (If You Use It Intelligently) 33:15 – Matt's Final Challenge to Pricers   Key Takeaways: "AI is probabilistic, not deterministic. You can give it the same inputs and get different outputs. That's why I'm not ready for GenAI to set prices." - Matt Knaggs "You don't need to learn AI to protect your job. But if you ignore it, the person who learns how to use AI might take your job." - Matt Knaggs "The future pricer isn't replaced—it's the translator. The one who explains the 'why' behind what AI suggests." - Matt Knaggs "You can't outsource judgment. You need the pricer in the loop to validate hallucinations, nuance, and context." - Matt Knaggs "AI can scan markets, pull competitor moves, and hand-wave at things you should consider—things deterministic models miss." - Matt Knaggs   People & Resources Mentioned: Zilliant: Pricing optimization & management platform where Matt leads value initiatives Stephan Liozu: Pricing author referenced for value-based pricing frameworks Salesforce + OpenAI / Claude Connectors: For CRM automation   Connect with Matt Knaggs: LinkedIn: https://www.linkedin.com/in/matthewknaggs/   Connect with Mark Stiving: LinkedIn: linkedin.com/in/stiving Email: mark@impactpricing.com  

En pleno bombardeo de Black Friday, recopilatorios de “cómo ha ido el año” y “propósitos 2026”, yo me adelanto un poco y te cuento sin humo cómo ha sido realmente nuestro 2025 como estudio: qué ha funcionado, qué no, y qué voy a cambiar sí o sí para 2026 para no morir de trabajo y seguir siendo rentable.En este episodio te abro las tripas del negocio:cómo ha sido el primer año con Sergio contratado, por qué tenemos que subir aún más tarifas, cómo gestionamos tanta carga de curro sin vacaciones (mal ahí

Welcome to the Weekly Vlog! Josh explains why he's exceptionally tired this week due to a packed schedule. He discusses attending and speaking at two conferences on AI for legal professionals, preparing for upcoming court appearances, and his thoughts on the book he's reading, '33 Strategies of War' by Robert Green.  Josh also shares plans to hold a webinar on building custom GPTs for legal professionals. Tune in to get all the details! Never miss an update on his journey by joining his substack here: https://joshschachnow.substack.com/ 00:00 Introduction and Episode Overview 00:25 Why I'm Exhausted This Week 01:19 Presenting at Two Major Events 02:08 Upcoming Court Appearances 03:19 AI in Legal Practice 07:07 Future Webinar on Custom GPTs 09:32 Current Book Review: 33 Strategies of War 11:30 Conclusion and Sign-Off Why I'm Exhausted: Busy Week Recap & AI Workshops for Lawyers

Join hosts Ken Roden and Erin Mills as they reflect on an incredible Season 2 of the FutureCraft GTM podcast. From pilot purgatory to agent swarms, they unpack how AI in go-to-market evolved throughout the year, share their biggest lessons learned, and make bold predictions for 2026. Key Topics Covered Season 2 Reflections [00:01:00] The slow start vs. strong finish of AI adoption Pilot purgatory and why 95% of AI rollouts struggled The accordion effect of AI tools throughout the year Guest Predictions Review - "They Called It" [00:04:00] Rachel Tru Air on AI SDRs: Still a work in progress Chase Hannigan on no-code agentic systems: Ahead of the curve Liza Adams on EQ being the edge: Called it perfectly Major Themes That Emerged [00:08:00] Adoption over tools as the key to success AI as teammate vs. AI as output generator The "sandwich model" - humans at both ends, AI in the middle Curiosity and EQ as critical differentiators What Failed This Year [00:10:00] AI vendor spray-and-pray marketing Custom GPT overload (600 GPTs at one company!) Rolling out LLMs without proper change management Business Impact Wins [00:17:00] Speed to market improvements Analytics accessibility for non-technical users 600% more time on site from AI-driven traffic Time auditing as a measurement strategy Personal Lightning Round [00:32:00] Most overhyped buzzword: AIEO Underrated tool: N8N Biggest personal unlock: Self-regulation with AI use Best use case: Digital twins and content workflows 2026 Predictions [00:24:00] Agent swarms and workforces (Erin's pick) Digital twins as the hero (Ken's pick) Closed company-specific LLMs Fractional AI experts with their own agent teams New organizational structures emerging Notable Quotes "AI is like an intern with a PhD who doesn't have any business experience" - Ken "Digital twins are great, but I think it's gonna be swarms" - Erin "It's 90% focus on the people and 10% on the execution now, not the other way around" - Erin "Get your hands dirty. Because this is new to everybody, there's a real need to understand what your team is going through" - Erin Guests Mentioned This Episode Liza Adams Rachel Truair (Simpro) Chase Hannegan Sheena Miles Rebecca Shaddix Chris Penn Key Takeaways Change management is critical - 80% focus on people, 20% on execution Start with boring problems - Don't chase the sexiest AI use cases Define acceptable mistakes - Know when to call a pilot a failure Agent swarms are the future - Moving beyond single-purpose tools Communities matter - AI has opened unprecedented knowledge sharing Speed to market - Months-long processes now taking days or hours Resources Mentioned N8N workflow automation platform Relevance AI Lindy ElevenLabs (voice) Planet Money AI recruiting segment Chris Penn's analytics community Coming in Season 3 (March 2026) Human agentic workflows with verification stopgaps Agent swarm implementations New modalities: voice and video applications More on the Iron Man suit approach to fractional AI work Share what you want to see in Season 3 & Connect with the Hosts: Ken Roden Erin Mills   About FutureCraft Stay tuned for more insightful episodes from the FutureCraft podcast, where we continue to explore the evolving intersection of AI and GTM. Take advantage of the full episode for in-depth discussions and much more. To listen to the full episode and stay updated on future episodes, visit our website, https://www.futurecraftai.media/ Disclaimer: This podcast is for informational and entertainment purposes only and should not be considered advice. The views and opinions expressed in this podcast are our own and do not represent those of any company or business we currently work for/with or have worked for/with in the past. Music: Far Away - MK2

AI isn't here to replace entrepreneurs—it's here to amplify how we think. In this episode, Erik Van Horn breaks down exactly how he uses AI as a "thinking partner" to analyze FDDs, research industries, and uncover opportunities that 99% of franchise buyers overlook. Learn how to build your own custom GPTs for research, due diligence, and marketing—and why the right inputs always lead to the right output.   Timestamps:   00:00 – The GPT Should Know Everything About You 02:33 – Using AI as a Thinking Partner 04:04 – Treat AI Like a $10,000/hour Advisor 06:21 – How I Built a Website in a Day With AI 07:40 – Building Custom GPTs for Your Brand 10:11 – How I Use AI to Analyze FDDs 12:24 – Spotting Private Equity Opportunities With AI 17:00 – Create Better Prompts, Get Better Results 20:20 – AI as Your Copywriter, Not Your Voice 26:37 – Analyzing Item 7 and Item 19 With AI   Connect with Erik Van Horn:

Building custom GPTs for real work, not just party tricks is tricky. That's why I invited Len Ward to sit in my guest chair.  He's a former Wall Street pro turned agency builder, now leading Comexis, and he has the scars to prove what works and what does not. We covered where these tools shine, where they trip you up, and how to keep them sounding like you, not a committee of the internet. Key points The idea Build a focused GPT that acts like a virtual team member. Feed it your processes, products, locations, and goals so it can help with tasks like onboarding, strategy, and client communication. What can go wrong Trusting outputs without review, letting the model drift from your voice over time, and uploading sensitive info or leaving training on so your data fuels everyone else's bot. What we would do differently Lock down privacy settings, create prompt playbooks, retrain with fresh voice samples on a set schedule, and keep humans in the loop for approval. What went wrong I learned the hard way that voice drifts. I had the GPT read my work, it started strong, then wandered off into generic advice land. Len called out why. If we keep feeding broad material and never course correct, the model forgets our tone. Another stumble is data carelessness. Uploading client details or financials, even as examples, can create risk. One more trap is blind faith. These tools are fast, not flawless. They still need a final pass from human eyes. Actionable takeaways for women running the show Scope the job Name one clear role for each GPT, such as Onboarding Coordinator or Content Draft Assistant. Narrow focus leads to better answers. Set privacy controls In settings, turn off training on your data. Do not upload personal or financial info. If you must, scrub names and use your own codes. Build a prompt playbook Ask the GPT to write the top ten prompts it responds to best. Save them and start sessions with those prompts to keep work on track. Refresh the voice Every few weeks, feed three to five recent posts, emails, or show notes and say, learn this voice again. Then ask for a short style checklist it must follow. Require a human check Before anything goes public, the content owner signs off. Think of GPT as the fast assistant, you are the editor in chief. Collect and centralize content Keep a clean library in Drive or Dropbox. Use clear folders for articles, FAQs, product sheets, and case studies. These become your training set. Answer real questions Watch chatbot logs or support tickets. Turn every repeated question into a page, a post, or a short video. If your site does not solve a problem as fast as ChatGPT, visitors leave. Forget silver bullets Old school SEO tricks are not the ticket. Strong brands with deep, helpful content win more often in AI answers. Keep writing, keep linking, keep it useful. Why this matters now We are shifting from search and retrieve to solve my problem. Custom GPTs, used wisely, can speed that shift inside your business, from onboarding to content to customer care. Used carelessly, they dilute your voice and increase risk. The good news is the fix is simple habits, not magic. About Len Ward Len Ward is a former Wall Street institutional equities professional, agency builder, and now Managing Partner of Commexis—an AI consulting firm helping businesses replace outdated marketing with intelligent systems that think. With over two decades of experience spanning finance, e-commerce, and digital marketing, Len brings a rare perspective on disruption cycles. He believes traditional agencies are finished and that AI is the operating system for the next decade of business. Known for his straight talk and contrarian edge, Len makes AI real, actionable, and impossible to ignore. Visit our website for a free consultation on AI.  https://www.Commexis.com

In this episode, AI expert Andrew Bell joins us to show step-by-step how to turn a single Amazon product photo into a polished, scroll-stopping video using AI tools like Sora 2, Amazon Ads' AI video generator, and Gemini.

ChatGPT Agents and Atlas have taken all the spotlight.