Podcasts about gpts

Returning guest Bryan Power (Head of People, Nextdoor) talk about AI workplace adoption, contrasting executives who avoid AI as time-consuming with his dedicated approach of treating AI as teammates, scheduling one-on-ones with custom GPTs, and transforming workflows.*Email us your questions or topics for Kelli & Nolan: hrheretics@turpentine.coFor coaching and advising inquire at https://kellidragovich.com/HR Heretics is a podcast from Turpentine.Support HR Heretics Sponsors:Planful empowers teams just like yours to unlock the secrets of successful workforce planning. Use data-driven insights to develop accurate forecasts, close hiring gaps, and adjust talent acquisition plans collaboratively based on costs today and into the future. ✍️ Go to https://planful.com/heretics to see how you can transform your HR strategy.Metaview is the AI platform built for recruiting. Our suite of AI agents work across your hiring process to save time, boost decision quality, and elevate the candidate experience.Learn why team builders at 3,000+ cutting-edge companies like Brex, Deel, and Quora can't live without Metaview.It only takes minutes to get up and running. Check it out!Ethena is the compliance training platform built for modern workplaces. Visit goethena.com/heretics and get 10% off your first year.KEEP UP WITH BRYAN, NOLAN + KELLI ON LINKEDINBryan: https://www.linkedin.com/in/bryanpower/Nolan: https://www.linkedin.com/in/nolan-church/Kelli: https://www.linkedin.com/in/kellidragovich/—LINKS:Nextdoor: https://nextdoor.com—TIMESTAMPS:(00:00) Intro(01:00) The Tinkerer vs. The Resisters(03:00) The AI Bubble and Workplace Resistance(05:00) Project Neighbor: Nextdoor's AI Initiative(07:00) Case Study: Building AI Training with ChatGPT(09:00) Mental Model Shift: AI as Teammate, Not Tool(10:00) Scheduling One-on-Ones with Custom GPTs(10:51) Ad Break - Athena & Planful Sponsors(14:01) Executive Offsite Planning: AI in Action(16:00) The Onboarding Problem: Context and Custom GPTs(18:00) Compensation GPT: Domain-Specific AI Applications(21:00) Output and Velocity: Gamma and Slide Creation(22:43) Ad Break - Metaview Sponsor(24:37) Optional or Essential: The Future of AI Adoption(26:00) The Mass Extinction Event for Knowledge Workers(30:00) Creating Permission to Tinker(32:00) Restructuring Executive Time for AI(34:00) Corporate Lingo Roast(44:08) Wrap This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit hrheretics.substack.com

Remember Hotmail? AOL? Or, the movie“You've Got Mail”? If you were around in the '90s, you probably remember what seemed to be a trend: email. It marked a shift in how we connect, communicate, and do business.At the time, email felt optional. Now, it's non-negotiable.AI is having the same moment right now.It's already inside the tools you're using. The only question left is: Are you using it with intention?In this week's episode, I'm sharing why an AI-first mindset is no longer optional for solo business owners who want to stay relevant and profitable. What You'll Discover in This Episode:Why “business as usual” doesn't work anymoreHow trust, clarity, and connection have replaced volume tacticsPractical ways AI is already integrated into the tools you're usingWhat it means to adopt an “AI-first” mindsetThe five types of AI users—and which one you areThree critical areas solo business owners must master to stay competitiveYour Next Step: Download My Free Prompt Builder Template Stop wondering what to put in a prompt and start using AI like a pro marketer. Whether 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.I've used this method to build over 20 custom GPTs that simplify my daily tasks, leaving me more time for human-to-human connections.CLICK HERE to Download Your FREE Template!Skip 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. Join now at https://community.marisashadrick.com/Listen 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!

AI search is here. People are using ChatGPT and other tools to discover businesses - but my guest today on the podcast, Andrew Jenkins shows why the foundations of SEO still matter. Andrew is CEO of Volterra Digital, a top-ranked social media agency, and a long-time member of my Marketing Power Circle (MPC). We dive into: Why getting found on AI isn't a “flip the switch” formula The role of reviews, backlinks, and industry recognition in AI search rankings How Andrew used Clutch.co to build a discoverability flywheel How custom GPTs and vibe coding are transforming small agency workflows The mindset shift from AI as content spam to AI as your second brain

In this episode of the Fitness Business Podcast, I interview my friend, former mentee and current Circle member Paul Hughes, a fitness coach who transitioned from a building surveyor to a strength coach after overcoming personal injuries.    We discuss the integration of AI in fitness coaching, particularly how custom GPTs can streamline content creation and enhance brand awareness. Paul shares his journey, the practical applications of AI tools, and the importance of consistency in building a brand. We also touch on common business mistakes, the value of networking with other coaches, and the underrated importance of personal connections in business.   Timestamps:    00:49 Introduction to AI in Fitness Coaching 03:51 Paul's Journey: From Surveyor to Strength Coach 06:46 Building Custom GPTs for Business Efficiency 09:40 Creating Content with AI: A Game Changer 12:30 Brand Awareness and Consistency through AI 15:36 Exploring AI Tools for Automation 18:32 Combining AI Tools for Enhanced Content Creation 21:24 Navigating the Limitations of AI 24:13 Business Lessons Learned: Mistakes and Growth 27:12 Overcoming Video Content Fears 29:58 Underrated and Overrated Tools in Business 32:48 Final Thoughts and Advice for New Coaches   Join the Circle here: https://briankeanefitness.com/online-mastermind   Details for business mentorship: https://briankeanefitness.com/mentorship-and-business-coaching]   Paul's website:  https://templetownsc.com/about-us/   Paul's Instagram: https://www.instagram.com/templetownstrengthconditioning/   The Lower Back Pain Podcast: https://sites.libsyn.com/585585

In this punchy solo episode of Build for the Edge, Kehla G pulls back the curtain on how she uses ChatGPT (and AI in general) to run a high-impact, low-overhead business as a solopreneur. She demystifies AI, de-shames using it in your workflow, and shows why “solo” doesn't have to mean “alone.” From repurposing Zoom transcripts into posts and emails, to keeping brand voice consistent across platforms, to planning launches and mapping cash-flow scenarios, Kehla explains how AI becomes a strategist, editor, sounding board, and ops partner—without replacing your creativity or nuance. She also shares how integrating Human Design and Gene Keys into your AI prompts turns content, offers, and marketing into a precise reflection of your essence—so you can scale with alignment, not burnout.

You're probably opening a fresh chat in ChatGPT, Claude, or Gemini—and that might be sabotaging your productivity.Randomly starting conversations with no plan wastes time, fragments context, and lowers the quality of what you get from LLMs.Learn the essentials of Gemini Gem, GPTs, and Projects—how they differ, when to use each, and how to structure prompts and workflows so AI actually speeds you up instead of slowing you down.Newsletter: 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:Harnessing Custom GPTs for EfficiencyGoogle Gems vs. Custom GPTs ReviewChatGPT Projects: Features & UpdatesClaude Projects Integration & BenefitsEffective AI Chatbot Usage TechniquesLeveraging AI for Business GrowthDeep Research in ChatGPT ProjectsGoogle Apps Integration in GemsTimestamps:00:00 AI Chatbot Efficiency Tips04:12 "Putting AI to Work Wednesdays"08:39 "Optimizing ChatGPT Usage"11:28 Similar Functions, Different Categories15:41 Beyond Basic Folder Structures16:25 ChatGPT Project Update22:01 Email Archive and Albacross Software24:34 Optimize AI with Contextual Data27:49 "Improving Process Through Meta Analysis"30:53 Data File Access Issue33:27 File Handling Bug in New GPT36:12 Continuous Improvement Encouragement41:16 AI Selection Tool Website43:34 Google Ecosystem AI Assistant45:46 "Optimize AI Usage for Projects"Keywords:Custom GPTs, Google's gems, Claude's projects, OpenAI ChatGPT, AI chatbots, Large Language Models, AI systems, Google Workspace, productivity tools, GPT-3.5, GPT-4, AI updates, API actions, reasoning models, ChatGPT projects, AI assistant, file uploads, project management, AI integrations, Google Calendar, Gmail, Google Drive, context window, AI usage, AI-powered insights, Gemini 2.5 pro, Claude Opus, Claude Sonnet, AI consultation, ChatGPT Canvas, Claude artifacts, generative AI, AI strategy partner, AI brainstorming partner.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Launching or growing your podcast in 2025? In this episode, I sit down with Cait Howard—founder of Amplify Boutique and the behind-the-scenes editor of this very show—to talk all things podcasting. Cait has helped entrepreneurs launch and grow hundreds of shows, leading to more than 5 million downloads, and she knows what it really takes to create a podcast that works for your business and your life. Together, we dive into the shifts happening in podcasting, from video and SEO to authenticity and monetization, plus how to keep your show sustainable without burning out. Whether you're just starting or looking to refresh your podcast, this episode is packed with insights that will help you evolve with the industry and stay ahead of the curve. Today you will hear:The key podcasting trends for 2025—including SEO, video, and bolder positioning—and how to adapt to them.Why authenticity matters more than ever, and how “behind-the-scenes” content can strengthen audience trustCait's perspective on video strategy, YouTube Shorts, and creative ways to repurpose content across platforms.How she and her team use AI (including custom GPTs) to streamline production while keeping each client's unique voice.Practical monetization strategies—from affiliates to partnerships to using your podcast as a marketing asset for your own offers.Cait's best advice for new podcasters: why it's okay to start messy and let your show evolve as you grow. CONNECT WITH CAIT:Website: amplifyboutique.comInstagram: @heycaithowardStudio Set Up Guide: https://amplifyboutique.com/#studioguide 

In today's rapidly evolving sales landscape, the integration of product-led growth (PLG) and sales-led growth (SLG) strategies has become a crucial differentiator for successful companies. As the Chief Revenue Officer of Webflow, Adrian Rosenkranz shares invaluable insights on effectively blending these two approaches to create a unified go-to-market engine. This episode explores how Webflow has successfully combined PLG and SLG motions, leveraging artificial intelligence (AI) to enhance customer experiences, streamline sales processes, and drive revenue growth. Adrian provides a unique perspective on the challenges and opportunities presented by this hybrid approach, offering practical strategies for sales and marketing professionals looking to optimize their go-to-market strategies.                              Key Takeaways Understanding the distinctions between product-led and sales-led growth motions Leveraging AI to enhance relevancy and personalization in customer interactions Implementing AI-driven content refreshes to improve discoverability and SEO performance Utilizing AI for sales enablement, including personalized onboarding and coaching Adapting metrics and KPIs to evaluate the effectiveness of blended PLG and SLG strategies As we navigate this AI-driven sales landscape, it's clear that the companies who can effectively blend PLG and SLG strategies while leveraging AI will have a significant competitive advantage. It's an exciting time to be in sales, and I'm eager to see how these strategies evolve. Innovative AI Applications in Sales and Marketing Creating AI-generated onboarding podcasts for new hires Developing custom GPTs for sales reps to streamline prospecting and communication Implementing AI-powered customer support to resolve cases faster in PLG motions Utilizing AI for content optimization and real-time conversion rate improvements The Future of AI in Sales As AI continues to reshape the sales landscape, Adrian emphasizes the importance of maintaining authenticity and personalization. He introduces the concept of a "Go-to-Market AI Engineer" role, dedicated to reimagining sales workflows and processes through AI integration. This episode provides a wealth of actionable insights for sales leaders, marketers, and revenue operations professionals looking to harness the power of AI and create a more effective, blended approach to growth. Don't miss this opportunity to stay ahead of the curve and drive your organization's success in the AI-powered sales era. Key Moments 00:00:00 - Blending Product-Led and Sales-Led Growth Webflow successfully combines product-led and sales-led growth strategies. Few companies effectively blend these approaches into a single go-to-market engine. The key is solving for customer experience rather than separate teams, using AI to meet customers' needs faster and provide more relevant interactions across both motions.                                                       00:04:31 - AI's Impact on Marketing and Sales AI is automating relevancy in marketing and sales. Webflow uses AI to refresh content, optimize landing pages, and personalize outreach. They've built custom GPT models to assist SDRs and automate processes. AI enables faster, more personalized customer interactions across product-led and sales-led motions. 00:23:22 - Implementing AI in Go-to-Market Strategy Webflow hired a Go-to-Market AI Engineer to reimagine workflows. They use AI for sales enablement, coaching, and onboarding. The CRO created an AI-generated podcast to onboard the new CMO. AI helps scale knowledge sharing and provides faster feedback loops for sales reps.                                                                    00:39:15 - AI Impact on Metrics and Customer Experience                       Webflows CRO identifies the type of metrics they measure the sales team by and how they use AI to drive a better set of KPis that drive a better customer experience.            About Adrian Rosenkranz Adrian Rosenkranz is Chief Revenue Officer at Webflow, where he leads Sales, Marketing, Customer Success, Partnerships and Revenue Operations. He is helping grow Webflow into the leading AI-powered visual development platform for ambitious brands. Before Webflow, Adrian was Chief Operating Officer of Tableau Americas at Salesforce, where he scaled a multi-billion dollar enterprise business. A firm believer in innovation with purpose, Adrian is helping Webflow harness AI to drive smarter growth and better customer experiences, from go-to-market systems that learn and adapt to tools that amplify what creative teams can build. His focus is on unlocking leverage, not just automation. Adrian also serves on the board of the Multiple Myeloma Research Foundation and previously advised Harvard Business School's Kraft Precision Medicine Accelerator. He earned his bachelor's degree from Stanford University, where he was a Division I football player. Follow Us On: ·         LinkedIn ·         Twitter ·         YouTube Channel ·         Instagram ·         Facebook Learn More About FlyMSG Features Like: ·         LinkedIn Auto Comment Generator ·         AI Social Media Post Generator ·         Auto Text Expander ·         AI Grammar Checker ·         AI Sales Roleplay and Coaching ·         Paragraph Rewrite with AI ·         Sales Prospecting Training for Individuals ·         FlyMSG Enterprise Sales Prospecting Training Program Install FlyMSG for Free: ·         As a Chrome Extension ·         As an Edge Extension    

What if AI could actually make your content more authentic, not less? In this episode, Clay Lehman, real estate coach, title company owner, and AI practitioner, shares how he uses tools like ChatGPT, Claude, Gamma, and NotebookLM to streamline operations, train agents, and scale content creation without sacrificing personality. You'll hear how he built custom GPTs for hiring, onboarding, and coaching tough conversations, and how he batch-creates a month of social media in minutes. Whether you're an agent, team leader, or brokerage exec, this episode will challenge the way you think about efficiency, delegation, and staying human in an AI world. Guest: Clay Lehman Facebook - https://www.facebook.com/clay.lehman Instagram - https://www.instagram.com/imclaylehman/ Linkedin - https://www.linkedin.com/in/clay-lehman/   Host: Rajeev Sajja Rajeev Sajja on Facebook Rajeev Sajja on Instagram Rajeev Sajja on LinkedIn Rajeev Sajja on YouTube   Resources:  Agent to AIgent book on Amazon - https://a.co/d/0YxMd2Y Real Estate AI Flash Podcast Site AI Playbook Join the Instagram Real Estate AI Insiders Channel Join the Real Estate AI Academy waitlist Subscribe to the Real Estate AI Flash Newsletter

So… becoming an AI strategist wasn't exactly on my 2025 bingo card.But here we are.In this episode, I'm sharing how I went from corporate PR girl to building over 30 custom GPTs, creating a full-on podcast bot squad (including the one that wrote these show notes in minutes) and developing a whole new arm of my business centered around human-first and on-brand AI.This isn't about cranking out 100 blog posts a week.It's about using AI to create more ease, alignment, and space in your business—without losing your voice, your values, or your sanity.I'll walk you through:How I went from “not even an early adopter” to fully obsessed with AIThe tools I've built (and how they save me hours each week)Why I believe AI works best when it's built around humans—not to replace themIf you're even a little bit AI-curious, this episode will give you a grounded, non-techy look at what's possible—and why you don't need to be “techie” to start.>>Your Next Steps: Let's chat about your custom visibility plan: https://tidycal.com/ksco/discovery-call Let's work together: https://ksco.ca/ Get visible without social media Connect on Instagram>>Thanks for Listening!If you enjoyed this episode, please help us share it by: Following the show—this helps you stay updated and supports us! Leaving a positive review—this boosts our ranking and helps more entrepreneurs find the podcast. Sharing it on Instagram and tagging @entrepreneurschoolpodcast

In this episode of the Operators Podcast, Krishna Poda, CEO of Saras Analytics, joins the hosts to break down the tangible ways AI is revolutionizing business operations. The conversation moves beyond the hype to explore how companies are leveraging artificial intelligence for significant productivity gains across various departments. They discuss the foundational importance of creating a centralized "single source of truth" for data, which allows AI tools to provide instant, accurate business insights and automate reporting that once took analysts days to compile. The group also shares real-world examples, from building AI-powered "ad factories" that generate massive volumes of creative content to developing custom internal GPTs that act as a company "brain" for streamlined communication, onboarding, and strategy. Ultimately, the discussion highlights how AI is becoming an indispensable operating system for modern businesses, enabling teams to analyze customer feedback, refine product development, and make faster, more informed decisions.Chapters:00:00 Introduction06:04 - AI as an Operating System20:51 - Getting a Business "AI Ready"37:39 - Generative AI for Content54:43 - The Future of Remote Work and AI01:07:24 - Developing an AI StrategyPowered By:Fulfil.io.https://bit.ly/3pAp2vuThe Only Cloud ERP Designed to Efficiently Scale 8 and 9-Figure Brands. Northbeam.https://www.northbeam.io/Postscript.https://postscript.io/Richpanel.https://www.richpanel.com/?utm_source=9O&utm_medium=podcast&utm_campaign=ytdescSaras.https://saras-analytics.typeform.com/to/T8jpuAEb?utm_source=9operator_lp&utm_medium=find_out_moreSubscribe to The Marketing Operators Podcast here:https://www.youtube.com/@MarketingOperatorsSubscribe to The Finance Operators here:https://www.youtube.com/@FinanceOperatorsFOPSSign up to the 9 Operators newsletter here:https://9operators.com/

In this episode of Rethink Real Estate, Ben Brady welcomes real estate entrepreneur and AI strategist Lauren Lucas of the LKW Home Team at Keller Williams Classic Properties. Lauren pulls back the curtain on how she replaced three team members with AI—and still grew her GCI by over $400,000 in a single year. If you've ever felt overwhelmed trying to juggle operations, marketing, and lead gen, Lauren's systematized approach will blow your mind.From custom GPTs built in under 15 minutes to CRM bots that identify hot leads based on engagement, Lauren breaks down exactly how she uses AI in a practical, revenue-generating way. No technical background? No problem. She shares how she learned everything from YouTube and how you can too—starting with just a voice memo and a SOP. This episode is a goldmine for agents who want to scale without burning out.Lauren also reveals the specific tools, prompts, automations, and compliance steps she uses to stay ahead—without drowning in tech. Whether you're a solo agent, building a team, or just AI-curious, this is the roadmap to a more leveraged, sustainable real estate business.⏱️ Timestamps & Key Topics:[00:00:00] – Losing Half Her Team, Growing $400K GCI Anyway[00:01:50] – Why Most Agents Use AI Wrong (& How to Fix It)[00:07:00] – From SOP to Custom GPT: Real-World Applications[00:14:00] – CRM Bots, Lead Scoring, and Database Reactivation[00:20:45] – How AI Powers Value-Based Prospecting at Scale[00:24:50] – The Best Tech Stack for Non-Techy Real Estate Agents[00:35:00] – Mindset, Misconceptions & the Future of Agents Using AI

In this ScaleUp VIP Club session, we focused on the crucial topic of building high-performing sales funnels – and cutting through the noise to make your marketing really work. We kicked off with our new monthly segment, the AI Pulse, delivered by Paul Rhodes. Paul shared actionable insights on building an “AI Brain” – using custom GPTs to extract knowledge from the founder's head, reduce team dependency, and supercharge productivity. A standout quote: "AI is not about replacing humans, it's about humans with AI versus humans without." Paul highlighted how combining good documentation with a powerful AI assistant allows your team to make better, faster decisions – without relying on you for everything. Then we dived into the main theme – Sales In, Sales Out – How to Build Funnels That Work, with guest speaker Mark Day, founder of Battle Group Training. Mark drew on his military and fitness industry background to give a practical, boots-on-the-ground view of what it takes to create a funnel that actually converts. He broke down the funnel into actionable checkpoints: Awareness (be visible where your customers already are) Consideration (build trust with helpful content) Conversion (make buying effortless) Loyalty (keep them coming back) Mark's perspective was grounded and real – his business scaled through COVID, he rebranded based on changing search trends, and he's used data to cut marketing waste and fix retention issues. His approach to marketing funnels is laser-focused on solving real problems and avoiding the fluff. Standout Message: “Keep it simple, show up, be useful – and remember: a funnel is just a journey to build trust, not a sales trick.” Make sure you don't miss any future episodes by subscribing to ScaleUp Radio wherever you like to listen to your podcasts. For now, continue listening for the full story from Mark and Paul. Scaling up your business isn't easy, and can be a little daunting. Let ScaleUp Radio make it a little easier for you. With guests who have been where you are now, and can offer their thoughts and advice on several aspects of business. ScaleUp Radio is the business podcast you've been waiting for. If you would like to be a guest on ScaleUp Radio, please click here: https://bizsmarts.co.uk/scaleupradio/kevin You can get in touch with Kevin & Granger here: kevin@biz-smart.co.uk grangerf@biz-smart.co.uk   Kevin's Latest Book Is Available! Drawing on BizSmart's own research and experiences of working with hundreds of owner-managers, Kevin Brent explores the key reasons why most organisations do not scale and how the challenges change as they reach different milestones on the ScaleUp Journey. He then details a practical step by step guide to successfully navigate between the milestones in the form of ESUS - a proven system for entrepreneurs to scale up. More on the Book HERE - https://www.esusgroup.co.uk/ Mark can be found here: https://battlebootcamp.co.uk/ mark@battlebootcamp.co.uk

In this episode of RevOps Review, Jeff Ignacio sits down with Rich Archbold, SVP at HubSpot, for a deep dive into how one of the most iconic GTM platforms is using AI, not just to scale workflows, but to rethink them entirely.Rich shares how HubSpot is applying AI across the customer journey, from CRM hygiene to guided selling, to coaching reps via custom GPTs, and how frontline teams are quietly becoming GTM engineers themselves. They explore what happens when every employee uses AI, how this impacts org design (including middle management), and why building a “faster horse” just won't cut it anymore.If you're navigating AI in a RevOps or go-to-market leadership role, this one is a blueprint for what's coming next.

Sas leads our conversation about Artificial Intelligence and the future of Coaching. We reflect on what this technological shift might mean for human connection, professional identity, and how we make sense of ourselves and each other through the lens of coaching.Both sas and Bridget have built custom GPTs, and Bridget is leading the way in terms of how AI can enhance and complement coaching.Rather than presenting AI as something to fear or blindly adopt, our aim is to open up the conversation for curiosity, nuance, and possibility. Coaches are invited to consider how AI might reshape not just the industry, but their own practices — whether that's in creating content, supporting clients, or redefining what it means to hold a human conversation in a tech-saturated world.For You to Reflect On* How are you feeling about AI right now - excited, cautious, overwhelmed, curious?* Where do you see opportunities for AI to support your coaching practice, and where do you want to draw clear boundaries?* What values or principles do you want to hold onto as this technology continues to evolve?Rate, Review, and Subscribe!If you enjoy these conversations, please do offer a review on Apple podcasts and subscribe wherever you listen in. We appreciate your support and look forward to continuing these conversations with you.Find us:* Bridgette Boudreau: Website | Insta* Lianne Raymond: Website | Insta* Sas Petherick: Website | Insta This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit threeogcoachestalkingshop.substack.com

Send us a textIn this episode of UX Leadership by Design, host Mark Baldino is joined by three members of Pendo's design team—Senior Product Design Manager Holly Reynolds, Senior Product Designer John Incampo, and Product Design Intern Ryan Markley—to explore how AI is reshaping real-world design work from the ground up.They discuss how leadership at Pendo has created a culture of experimentation and empowerment, how AI tools like Bolt, Cursor, and Claude are integrated across the product and design process, and what it takes to balance speed with quality. Whether you're a new designer, an experienced leader, or somewhere in between, this episode is full of honest takes, practical tips, and forward-thinking insights into what AI actually looks like in a modern design team.Key Takeaways:1. Culture of Empowerment: Pendo's leadership doesn't just allow AI exploration—they encourage it, creating space for experimentation, risk-taking (without risking users), and team-driven innovation.2. Hands-On AI Tools & Integration: From interns to senior designers, team members are actively using tools like Cursor, Claude, Bolt, and Figma's AI features to accelerate research, prototyping, documentation, and collaboration.3. Collaborative Learning Environment: Weekly product + AI sessions and open Slack channels create a culture of shared discovery where everyone contributes wins, tools, and ideas.4. Practical Guardrails: While AI is everywhere, the team reinforces foundational UX process—reminding each other not to skip steps, misread data, or forget critical thinking in the rush to ship.5. Real Wins in the Workflow: AI is unlocking richer prototyping, better animation handoff, faster research synthesis, and scalable documentation through tools like custom GPTs.6. Design Ops Meets AI: The team is rethinking design systems and documentation with AI—exploring ways to automate OOUX structures, update components, and turn dead docs into dynamic tools.7. Advice for AI Newcomers: Whether you're overwhelmed, underexposed, or unsure where to start, the team shares practical tips for getting started, experimenting safely, and staying ahead of the curve.Chapters00:00 – Welcome + Meet the Pendo Design Trio01:00 – Career Paths and AI Exposure05:30 – How Pendo's Leadership Encourages AI Exploration08:00 – Internal AI Forums, Slack Channels, and Culture of Sharing10:50 – Guardrails, Trust, and Responsible Use13:00 – Balancing Speed with UX Process15:30 – Cost, Tool Chaos, and What's Next17:20 – When AI Skips the Process (and How to Handle It)20:00 – AI in Design Education: A Student's POV25:10 – Real Wins: Richer Prototypes and Faster Handoffs27:50 – Using AI for Hiring, Microcopy, and Design Systems33:00 – Turning Design System Docs into Chatbots36:00 – Advice for Hesitant Designers and AI Newbies42:30 – Wrap-up + Final ThoughtsLinks:Connect with Holly on LinkedInConnect with Ryan on LinkedInConnect with John on LinkedIn Connect with Mark on LinkedIn Fuzzy Math - B2B & Enterprise UX Design Consultancy

In this episode of Nonprofit Nation, we're joined by Faigy Gilder, a nonprofit digital marketing strategist with over 15 years of experience helping small organizations punch above their weight. With an MPA and a passion for practical, no-fluff strategies, Faigy specializes in teaching AI workflows tailored specifically to the unique challenges nonprofit professionals face.Whether you're overwhelmed by limited resources or looking for smarter ways to write, market, and fundraise, Faigy shares actionable techniques using free or low-cost AI tools — all without needing to be tech-savvy.

#278 Content | In this episode, Dave brings together five B2B marketers who aren't just talking about AI, they're actually using it to change how their teams work. Each finalist from the Exit Five x Walnut AI Sessions takes the (virtual) stage to demo their workflow, share results, and answer questions from the judges.Here's what you'll hear:Jillian Hoefer's “content concierge” GPT trained on proprietary research to surface stats, quotes, and data for blogs, sales decks, and thought leadershipJake Heap's workflow using Meshy + VEO 3 to turn a simple mascot into animated 3D brand characters in minutesJessica Lytle's no-code ROI calculator built in Lovable that sales reps now run live on calls to build business casesUgi Djuric's high-volume content engine that scrapes industry news and sales call transcripts, then uses AI to summarize, generate content ideas, and even score leadsAnton Ruis' AI-powered buyer brief builder that pulls real-time economic data and tailors sales messaging to specific personasIt's part workshop, part competition, and packed with creative, tactical ways to put AI to work in B2B marketing today.Timestamps(00:00) - – Dave kicks off in a tux (02:44) - – Record-breaking registrations (03:22) - – Meet the judges: Benny & Jess (08:10) - – Jillian's “victim of repurposing” intro (08:50) - – Building a “content concierge” GPT from research data (10:14) - – Injecting stats + quotes into blogs and decks (14:10) - – How one report fueled 9+ months of content (19:10) - – Jake on bringing AI into marketing ops (20:33) - – Turning a mascot into a 3D character with Meshy (21:18) - – Animating it in VEO 3 (no designer needed) (24:33) - – Cutting animation time from weeks to minutes (30:32) - – Jessica builds a no-code ROI calculator in Lovable (33:41) - – AEs use it live on sales calls (34:25) - – Adding benchmarks + transparency to ROI math (41:43) - – Ugi's AI engine scrapes + summarizes industry news (44:00) - – Training custom GPTs on expert insights (50:40) - – Anton's real-time buyer briefs from economic data (53:15) - – Tailoring briefs for CROs, enablement, PMMs (56:59) - – Judges crown the winning use case + Dave's wrap-up Send guest pitches and ideas to hi@exitfive.comJoin the Exit Five Newsletter here: https://www.exitfive.com/newsletterCheck out the Exit Five job board: https://jobs.exitfive.com/Become an Exit Five member: https://community.exitfive.com/checkout/exit-five-membership***This episode of the Exit Five podcast is brought to you by Qualified.AI is the hottest topic in marketing right now. And one thing we hear a lot of you marketers talking about is how you can use AI Agents to help run your marketing machine.That's where Qualifed comes in with Piper, their AI SDR agent.Piper is the #1 AI SDR Agent on the market according to G2, and hundreds of companies like Box, Asana, and Brex, have hired Piper to autonomously grow inbound pipeline. How good does that sound?Qualified customers are seeing a massive business impact with Piper: a 3X increase in meetings booked and a 2X increase in pipeline.The Agentic Marketing era has arrived. And if you're a B2B marketing leader looking to scale pipeline generation, Piper the #1 AI SDR Agent is here to help.Hire Piper, the #1 AI SDR Agent, and grow your pipeline today.You can learn more at qualified.com/exit5

Send us a textWhat happens when self-storage meets artificial intelligence? Scott Meyers and Joe Downs reunite right after their Mastermind and Academy events to dive deep into the game-changing role of AI in the self-storage industry. Fresh from coaching hungry investors through their first deals, they shift gears into a passionate discussion about AI's transformational power—from automating market analysis and underwriting to building personalized dashboards and internal GPTs that replace hours of manual work. With Joe's infectious excitement and Scott's strategic insight, this episode delivers a powerful look at how leveraging AI can drastically speed up, simplify, and supercharge success in real estate investing—especially self-storage. Listen For:1:17 Seal the Deal: Whale hunts, masterminds, and champagne for first deals4:23 Hungry Dogs and First Wins: The energy of new investors and what fuels momentum11:00 AI Revelation: How Joe realized he's spending 50% of his time learning AI19:05 Market GPT is Here: The birth of Belrose's self-storage-specific AI30:52 Redefining Industry Norms: Why common metrics like supply index might be outdated CONNECT WITH GUEST: JOE DOWNSLinkedIn  | Website CONNECT WITH USWebsite | You Tube | Facebook | X | LinkedIn | Instagram Follow so you never miss a NEW episode! Leave us an honest rating and review on Apple or Spotify.

The GPT-5 rollout was messy. Then, Google went AI ship crazy. In between all of that, OpenAI released some powerhouse features inside ChatGPT that seemingly no one is paying attention to. Join us as we uncover them and give you a leg up on everyone else. Newsletter: 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:Five Overlooked ChatGPT Features RecapFlashcards with Quiz GPT Interactive ToolCustom ChatGPT Personalities ExplainedAdvanced Voice Mode in ChatGPT & GPTsGmail and Google Calendar Auto ConnectorsCustom Instructions for ChatGPT ProjectsProject Folders vs. Custom GPT OrganizationChatGPT Agent Mode New Use CasesTimestamps:00:00 Overlooked ChatGPT 5 Features05:06 Unannounced OpenAI Updates Discussion09:02 Personalized Learning with LLMs10:58 GPT-4 Personalities Address Sycophancy14:12 Custom Instructions and Personalities in ChatGPT18:00 Custom GPT Voice Limitations21:38 Streamlining Email with AI Prompts25:10 Custom Chat Instructions Toggle28:43 Customizing ChatGPT: Flexibility Challenges31:02 "AI Updates and Sharing Instructions"Keywords:ChatGPT, GPT-5, GPT 4o, OpenAI, ChatGPT features, overlooked ChatGPT updates, custom personalities, flashcards, GPT quiz, interactive quiz, advanced voice mode, voice mode updates, ChatGPT connectors, Gmail connector, Google Calendar connector, auto connectors, custom instructions, ChatGPT projects, project memory, ChatGPT organization, ChatGPT folders, project only memory, memory settings, ChatGPT system prompt, ChatGPT hallucinations, ChatGPT prompts, ChatGPT deep research, custom GPTs, Canvas mode, Notebook LM, Gemini, Gemini live, Claude, Anthropic Claude, email management with AI, AI productivity tools, AI for business leaders, AI learning tools, AI-powered flashcards, interactive learning AI, personalized AI, AI chat modes, sycophantic GPT, ChatGPT tone settings, ChatGPT settings, AI updates 2025, AI task automation, AI-driven workflow, ChatGPT troubleshootingSend 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

#562 What if your AI assistant could think, sound, and strategize exactly like you? In this powerful and eye-opening episode hosted by Kirsten Tyrrel, Kinsey Soderberg from Authentic AI shares her “human-first” approach to using tools like ChatGPT to amplify your brand's authenticity — not replace it. She breaks down her signature VIBES framework for training AI to align with your voice, values, audience, and offers. You'll also hear how she's automating back-end systems that save hours while increasing revenue, plus creative ideas for repurposing content, managing client onboarding, and building personalized GPTs for team members and programs. If you want to leverage AI without losing the soul of your brand, this one's a must-listen! What we discuss with Kinsey: + Human-first approach to AI + Training AI to reflect your brand + The VIBES framework explained + Brand voice vs. generic tone + Using AI like a trained intern + Custom GPTs for team workflows + Automating playbooks and deliverables + Scaling personalized client experiences + AI's role in increasing revenue + Building an AI-powered story bank Thank you, Kinsey! Check out Authentic AI at DIYWith.AI⁠. Get the free Make AI Sound Like You Micro-Class. Create your AI Brand Blueprint. Follow Kinsey on Instagram. 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

Email marketing expert Jeanne Jennings shares practical email testing strategies, and tips for maximizing ROI. Learn how to set the right KPIs, get statistically significant results with small lists, and use AI (including custom GPTs) to speed up copywriting and campaign analysis. Jeanne also discusses list validation, deliverability best practices, and the pros and cons of cold email. New episodes drop weekly—subscribe, rate, and review to stay ahead in digital marketing!

In this episode of Behind The Numbers With Dave Bookbinder, entrepreneur Colin Hirdman (co-founder of Monkey Island Ventures, Rainmaker, and Wrappt) shares practical strategies for using LinkedIn to drive revenue growth. Colin breaks down his three-level LinkedIn philosophy—be authentic, educate your audience, and understand prospect pain points—and explains how he builds and activates audiences to generate measurable results. You'll learn how to: Target prospects with Sales Navigator Grow first-degree connections strategically Decide when to include (or skip) connection messages Maintain a healthy connection acceptance rate Colin also unpacks his LinkedIn activation toolkit: multi-touch messaging sequences, targeted polls, and repeatable live streams/events. He explains how to run, promote, and follow up on these campaigns to convert interest into real meetings. Beyond tactics, Colin discusses: Ethical automation that mimics human behavior Why businesses should own their own custom GPTs How Rainmaker and Wrappt help teams scale outreach while protecting intellectual property Key entrepreneurial lessons: choosing partners, focusing on profitable markets, learning from failure, and persevering through challenges Expect actionable takeaways you can apply immediately—whether it's building a targeted connection list, using a go-giver approach in outreach, running vertical-specific LinkedIn events, or productizing expertise through custom GPTs. ----more---- About Our Guest: Colin Hirdman started his first company a week after graduating from college, and has been an entrepreneur ever since. He's building businesses through Monkey Island Ventures a company he co-founded with two of his best friends. Monkey Island Ventures is named after a park they played at since they were 5 years old. Over the years the trio has built over a dozen software and service businesses and want to help create as many successful entrepreneurs as they can by sharing what they know. Colin is now focused on their newest business, Wrappt. Wrappt allows you to turn your GPTs into custom apps in minutes. No code, no hassle, just launch. Wrappt is like Shopify for GPTs – everything you need to package and launch your GPTs. About the Host: Dave Bookbinder is known as an expert in business valuation and he is the person that business owners and entrepreneurs reach out to when they need to know what their most important assets are worth. Known as a collaborative adviser, Dave has served thousands of client companies of all sizes and industries.    Dave is the author of two #1 best-selling books about the impact of human capital (PEOPLE!) on the valuation of a business enterprise called The NEW ROI: Return On Individuals & The NEW ROI: Going Behind The Numbers.  He's on a mission to change the conversation about how the accounting world recognizes the value of people's contributions to a business enterprise, and to quantify what every CEO on the planet claims: “Our people are this company's most valuable asset.” Dave's book, A Valuation Toolbox for Business Owners and Their Advisors: Things Every Business Owner Should Know, was recognized as a top new release in Business and Valuation and is designed to provide practical insights and tools to help understand what really drives business value, how to prepare for an exit, and just make better decisions. He's also the host of the highly rated Behind The Numbers With Dave Bookbinder business podcast which is enjoyed in more than 100 countries.  

In this dynamic episode, we dive deep into how health and wellness professionals can create sustainable passive income streams while navigating the evolving landscape of AI technology. The discussion focuses on transforming traditional fitness business models into scalable, automated systems that generate revenue without constant active involvement. Special emphasis is placed on maintaining human connection while leveraging technology to enhance service delivery and client experience.Key Discussion Points:Understanding true passive income vs. active income in the fitness industryThe pressure-free sales system and million-dollar offer stack conceptAI's role in enhancing (not replacing) fitness professionals' servicesDigital products and implementation strategiesOnline courses and educational content creationAffiliate marketing opportunities for fitness professionalsRevenue streams through YouTube and content creationSubscription vs. membership modelsMobile app development and additional passive income opportunitiesMentioned Links:Instagram: @BSimpsonFitness[Episode Link with Mel Abraham - TO BE ADDED]ChatGPT Plus: https://chat.openai.com/Canva AI: https://www.canva.comResources:Free Profit Plan Consultation: https://go.bsimpsonfitness.com/widget/bookings/bsimpsonfitnessActionable Steps/Key Takeaways:Create a pressure-free sales system with three tiers:Premium high-touch offerMid-tier implementation programLow-ticket front-end offer ($27-$97)Leverage AI tools for productivity while maintaining human connection:Use AI for content polish and enhancementCreate custom GPTs for client supportMaintain personal touch in premium offeringsDevelop multiple passive income streams:Digital products with implementation componentsOnline courses with AI-enhanced featuresAffiliate marketing through product recommendations***Help Us Help More People. When you leave a review on Apple or Spotify, it helps us share the message so that we can raise the industry standards and help more people for free. Join the Facebook community!Are you a new fitness entrepreneur looking to attract clients? Maybe you're looking to dial in your messaging? Or perhaps you're experienced and looking to scale your business?Head on over to Facebook, and request access to my Online Marketing for Fitness Professionals group. Post an introduction about yourself, ask some questions, or let us celebrate your wins with you.BSimpsonFitness Best Next Steps Simple Scaling - Want the fastest most efficient way to start and scale a profitable business in the health and wellness space, with less than 2k followers or DMing 100 cold people a day? Watch this short free training and I'll show you how for free. Tap here to register: https://ptprofitformula.com/simple-scaling-optinPT Profit Formula - 10k in 90 Days or you don't pay, let me show you how it works for free. Learn more here: https://ptprofitformula.com/optin The Complete 10k Per Month Blueprint - FREE - A step -by - step guide to generate consistent 10k months and beyond online https://ptprofitformula.com/your-10k-blueprint Support the show

In this episode of The Responsive Lab, co-hosts Carly Berna and Scott Holthaus are joined by Matt Scott—founder of CauseMic and nonprofit messaging strategist—for a candid conversation on aligning AI with your mission. Together, they explore the real (and often misunderstood) ways AI can amplify your message, improve team capacity, and deepen donor relationships without losing the human touch. Matt shares how nonprofits are already using AI to simplify strategic decision-making, scale their messaging with custom GPTs, and synthesize information for smarter execution. You'll learn why values-based AI guidelines matter, how to remix your messaging for different audiences, and what nonprofits get wrong when defining their value proposition. Discover more about CauseMic and download their CRM Guide at: https://causemic.com/nonprofit-crm-guide. Learn more about Virtuous at virtuous.org/learnmore and download your free Nonprofit CRM Checklist at virtuous.org/crmchecklist

Would you like access to our advanced agency training for FREE? https://www.agencymastery360.com/training What happens when the agency you've built is just… stuck? Or when you hit a revenue ceiling, lose a major client, and start wondering if you've been playing the wrong game entirely? Those moments either break you or become the pivot points that redefine everything. In this episode, you'll hear from an agency owner who's lived through the grind growing his agency from scratch, riding out recessions, choosing a niche that would help him get out of “no man's land”. He'll discuss the strategic bet that broke through plateaus, why he still refuses to hire a COO, and the million-dollar risk that could have sunk him but ended up being a worthwhile bet on his vision. Alex Membrillo is the founder and CEO of Cardinal Digital Marketing, a 100-person specialist agency in healthcare performance marketing. Based in Atlanta, Alex launched Cardinal 16 years ago fresh out of college driven by equal parts ambition and desperation. Over the years, he's navigated economic downturns, client churn, plateaus, and tough hiring markets, ultimately transforming it from a generalist digital shop into a niche powerhouse serving multi-site medical and dental groups nationwide. In this episode, we'll discuss: Riding out recessions. Breaking plateaus and choosing a niche. Why he still prefers not hiring a COO. Alex's million-dollar bet on himself. Subscribe Apple | Spotify | iHeart Radio Sponsors and Resources This episode is brought to you by Wix Studio: If you're leveling up your team and your client experience, your site builder should keep up too. That's why successful agencies use Wix Studio — built to adapt the way your agency does: AI-powered site mapping, responsive design, flexible workflows, and scalable CMS tools so you spend less on plugins and more on growth. Ready to design faster and smarter? Go to wix.com/studio to get started. Starting from Scratch (and a Hospital Room) Alex didn't start Cardinal with a polished business plan or a stack of VC cash — he started it the day after his first child was born. After watching his dad's business nearly collapse thanks to a terrible SEO agency, Alex vowed to do better. With a fraternity brother on board and the confidence of having built a website once at sixteen, they left the hospital, started cold-calling local businesses, and selling websites. That first chapter didn't exactly go as planned. The websites flopped, but an SEO win for a kayak tour company gave them the confidence (and proof) they needed to double down on search. From there, they expanded into paid ads and built a reputation on a simple promise: If we suck, we'll give you your money back. In the wild west of 2009 SEO, when big agencies were scrambling to go “digital” overnight, this direct, performance-focused approach gave them an edge. Riding Out Recessions & Staying Hands-On Recessions shaped Alex's early leadership style. In 2009, big agencies were struggling, but lean, hungry digital-first shops could move faster and win clients. That meant Alex was doing it all—account managing 20 clients, selling new business, running QuickBooks, and hiring unpaid interns just to keep things moving. In those early days, generalists are gold. If you're too small for deep specialization, having people who can juggle SEO, PPC, and client management was critical. Even now, with a bigger team, Alex stays close to clients—spending hours each week on calls. To him, the job never ends, and the size of the clients is the only thing that's changed thus far. Hence, staying in the work keeps his perspective sharp. Breaking Plateaus by Choosing a Niche By 2016, Cardinal had hit a wall at around $3.5M in revenue. At that stage, he realized what he had wasn't really a business. You're just a very good operator that probably has one or two big clients. The problem is that if those clients leave, as it happened to him when he was around $4 million, then you're down to zero again. They'd grown by targeting four sectors—higher ed, home services, healthcare, and legal—which did help propel the agency. However, growth stalled again at $7–8M. Then COVID hit, and Alex decided to stop playing the “variety” game. Inspired by Jim Collins' Hedgehog Concept, he asked: What can we be the best in the world at? What drives our economic engine? What do we actually love doing? The answer was healthcare. They rebranded, rewrote their site, published thought leadership, and even released a book to claim their spot in the niche. They didn't fire old clients—they just stopped marketing to non-healthcare prospects and let those accounts naturally roll off. Alex does wish he would've also kept a bit of focus on higher ed, another sector where the agency really shined. Nonetheless, the bet paid off: a laser focus on healthcare has helped them grow faster, build deeper expertise, and win larger multi-site provider clients. Why Alex Still Doesn't Have a COO Alex firmly believes you can grow out of most problems, so every time he felt the agency was stuck, he went right back to improving their marketing, getting bigger clients, and hiring talented people. It's a simple formula that has kept working for him throughout the years. However, here's where he breaks from conventional wisdom: even at 100+ employees, Cardinal has no head of operations or finance. Everyone, including him, is billable. “I've made the mistake 83 times of listening to experts who say ‘Go hire a COO,'” Alex says. In his view, it's just not worth it at that point in your growth. “Do as much as you can as the owner. Have all departments report to you. You don't need middle management pushing paper. You need smart, talented people actually doing the work.” That lean structure only works if you market hard and keep new business flowing. It gives you the freedom to walk away from bad-fit clients and double down on growth opportunities. AI as Your Board of Advisors Agency owners like Alex, who see no need to hire a COO or CMO while they can still manage things themselves, can now turn to AI as a resourceful solution, treating it like an in-house advisory board. Like fellow agency owner Chris Dreyer—who built custom GPTs for CFO and COO roles and used AI to better understand the business acquisition process—Alex is now considering feeding his P&L and monthly reports into AI to spot trends, explain fluctuations, and even validate assumptions. The takeaway: you don't need expensive consultants or bloated leadership teams to get strategic insight. With the right prompts, you can cut through the noise and focus on execution, the part AI can't do for you (yet). The Million-Dollar Bet on Himself One of Alex's biggest turning points came when he bought out his co-founder. His partner had lost interest in client work, and Alex saw no way forward without full control. After a year of negotiation, he signed a deal that left him $1M in debt. For three years, he funneled $35,000 a month from profits to pay it off, losing sleep and enduring massive stress. In hindsight, it was worth it, but it took “probably 30 years off my life,” Alex says. Still, it was a defining moment—proving to himself he was willing to bet big on his own vision. Thought Leadership as a Growth Engine Cardinal's healthcare niche dominance didn't just happen—it was engineered. Alex leveraged thought leadership to own the space. From content and events to industry-specific messaging, they positioned themselves as the go-to choice for multi-site healthcare providers. He's quick to point out this approach has pros and cons, but if you want his playbook, he's happy to share it—just reach out on LinkedIn. Do You Want to Transform Your Agency from a Liability to an Asset? Looking to dig deeper into your agency's potential? Check out our Agency Blueprint. Designed for agency owners like you, our Agency Blueprint helps you uncover growth opportunities, tackle obstacles, and craft a customized blueprint for your agency's success.

Artificial Intelligence is no longer just a buzzword, it's a practical tool reshaping how title agents work. In this episode, Zina and Crosby cut through the hype to explain what large language models, custom GPTs, and emerging AI agents really mean for your business. From reducing errors and accelerating onboarding to automating repetitive tasks, the conversation highlights where AI delivers immediate value. If you've been waiting for a clear, practical guide to AI in title, this episode gives you the confidence and knowledge to get started.   What you'll learn from this episode What LLMs are and why their “arms race” benefits title agents The surprising way a custom GPT can transform your agency's daily workflows Why AI agents are the next leap forward for task automation in title operations Which workflows are perfect for safe automation—and which should stay human-led A four-part plan to start experimenting with AI in your agency today   Resources mentioned in this episode ChatGPT Meet Claude Anthropic Gemini Google Workspace Gmail Google NotebookLM ChatGPT for enterprise   Connect With UsLove what you're hearing? Don't miss an episode! Follow us on our social media channels and stay connected. Explore more on our website: www.alltechnational.com/podcast Stay updated with our newsletter: www.mochoumil.com Follow Mo on LinkedIn: Mo Choumil Stop waiting on underwriter emails or callbacks—TitleGPT.ai gives you instant, reliable answers to your title questions. Whether it's underwriting, compliance, or tricky closings, the information you need is just a click away. No more delays—work smarter, close faster. Try it now at www.TitleGPT.ai. Closing more deals starts with more appointments. At Alltech National Title, our inside sales team works behind the scenes to fill your pipeline, so you can focus on building Srelationships and closing business. No more cold calling—just real opportunities. Get started at AlltechNationalTitle.com. Extra hands without extra overhead—that's Safi Virtual. Our trained virtual assistants specialize in the title industry, handling admin work, client communication, and data entry so you can stay focused on closing deals. Scale smarter and work faster at SafiVirtual.com.

The Ruckus Report Quick take: Two beards, two red hats, one mission to blow up education's broken boundaries. Mitch Weathers reveals why saying "no" to district busywork and "yes" to what actually moves the needle isn't rebellion — it's leadership. Meet Your Fellow Ruckus Maker Mitch became a gifted teacher because he was a mediocre student. Mitch rarely felt comfortable in the classroom. In fact, it took him 7 years to graduate from college. Choosing to become a teacher, Mitch was fortunate enough to experience school as if it was happening all around him. He was unsure how to jump into his learning with confidence. There is a loneliness to experiencing your education as a passive object as opposed to an active subject. From the moment he entered the classroom, Mitch relied on his personal experiences as a learner. He recognized that what we teach—the content or curriculum—is secondary. We must first lay the foundation for learning before we can get to teaching. Mitch designed Organized Binder to empower teachers with a simple but research-backed strategy to teach students executive functioning skills while protecting the time needed for content instruction. The secret is found in establishing a predictable learning routine that serves to foster safer learning spaces. When students get practice with executive functions by virtue, we set them up for success. Learn more in his recent book Executive Functions for Every Classroom. Breaking Down the Old Rules

Aziz Aghayev, CEO of Flowlyst, returns to School Business Insider to go deeper on AI strategies for school business officials. In this episode, we unpack prompt engineering best practices, custom GPT creation, and Aziz's six-phase model for AI adoption. You'll learn how to turn your thoughts into powerful, structured prompts and create your own GPTs to automate repetitive, time-consuming tasks—like policy research, board minutes, and transportation questions.Whether you're using AI to refine communications, draft staffing models, or just streamline day-to-day operations, Aziz shows you how to treat AI as an assistant, not a threat. Plus, we explore the importance of leadership buy-in and why mastering AI now is essential for future-ready school districts.Contact School Business Insider: Check us out on social media: LinkedIn Twitter (X) Website: https://asbointl.org/SBI Email: podcast@asbointl.org Make sure to like, subscribe and share for more great insider episodes!Disclaimer:The views, thoughts, and opinions expressed are the speaker's own and do not represent the views, thoughts, and opinions of the Association of School Business Officials International. The material and information presented here is for general information purposes only. The "ASBO International" name and all forms and abbreviations are the property of its owner and its use does not imply endorsement of or opposition to any specific organization, product, or service. The presence of any advertising does not endorse, or imply endorsement of, any products or services by ASBO International.ASBO International is a 501(c)3 nonprofit, nonpartisan organization and does not participate or intervene in any political campaign on behalf of, or in opposition to, any candidate for elective public office. The sharing of news or information concerning public policy issues or political campaigns and candidates are not, and should not be construed as, endorsements by ASBO Internatio...

Feeling overwhelmed by all the AI tools out there? You're not alone. From GPTs to agents to “vibe coding” (wait—what?), it's hard to know what's actually useful… and what's just another shiny object.In this episode of Leveraging AI, Isar Meitis cuts through the AI noise with a practical, no-BS framework that maps out the 5 levels of AI implementation—so you can stop guessing and start using the right tech for your real-world business needs.If you're a business leader trying to make smarter AI decisions, whether for productivity, automation, or innovation, this episode will change how you approach AI forever.In this session, you'll discover:The 5 distinct levels of AI you can implement in your business todayHow to match your project's complexity to the right AI solutionPros and cons of everything from basic LLMs to full-blown AI appsWhy custom GPTs and agents are wildly underutilized by most teamsHow Isar uses automation, assistants, and even self-built tools to save hours every weekThe hidden questions that will help you decide between automations, agents, or full appsA sneak peek into a soon-to-launch AI-powered “Solution Advisor” built using all 5 levelsAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

If you could hire an employee who never gets tired, never loses focus, and instantly adapts to your workflow, would you do it? In the latest episode of Product Momentum, Lena Sesardic leans on her experience as a tech product manager and business-savvy entrepreneur to explore this tempting proposition through the lens of custom GPTs … The post 170 / Lena Sesardic: Building and Using Custom GPTs for Product Management appeared first on ITX Corp..

In this exciting episode, I'm thrilled to share that The Social Circus Podcast has been recognized at the Ausmumpreneur Awards, ranking second in the Podcast of the Year category! Today, I dive into a fascinating topic: custom GPTs and how they can revolutionize the way you operate your business. I break down the differences between standard chats and projects that help you stay organized. Custom GPTs, which are bots tailored for specific needs, can enrich your audience's learning experiences by providing interactive guidance based on your own unique methodologies. I also discuss the impact these tools can have on both teaching and learning, emphasizing shortcuts they create for busy entrepreneurs. Whether you're in coaching or online education, embracing custom GPTs is a game changer. Find out more at the Build a Bot  workshop.   **Key Takeaways:** 1. Custom GPTs enhance learning and ease for your audience. 2. Use projects for detailed organization in business planning. 3. Regular chats are useful for brainstorming and casual inquiries. 4. Don't spend excessively to learn about custom GPTs—affordable workshops are available! 5. Explore existing custom GPTs for inspiration and practical use.

  The Ruckus Report Quick take: The most dangerous myth in school leadership is that problems will eventually stop. Jennifer Schwanke reveals how embracing challenges and shifting from "trustworthy" to "trust willing" transforms toxic school cultures into thriving communities. Meet Your Fellow Ruckus Maker Jennifer Schwanke, Ed.D., brings nearly three decades of experience to the field of education, having served as both a teacher and leader across all levels. She is a published author with ASCD, including four current books and a forthcoming fifth title, "Trusted: Trust Pillars, Trust Killers, and the Secret to Successful Schools," expected in the summer of 2025. In addition to her books, Jennifer has contributed hundreds of articles to numerous educational publications. She is actively involved in professional development, offering her expertise to school districts in areas such as school climate, personnel management, and instructional leadership. She is also a frequent presenter at major educational conferences, including those hosted by ASCD, NAESP, NASSP, AASA, and various state and national organizations. Jennifer shares her insights as the co-host of the widely listened-to "Principal Matters" podcast and as an instructor in educational administration at The Ohio State University. Currently, Dr. Schwanke serves as a Deputy Superintendent in Ohio. Breaking Down the Old Rules

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris tackle an issue of bias in generative AI, including identifying it, coming up with strategies to mitigate it, and proactively guarding against it. See a real-world example of how generative AI completely cut Katie out of an episode summary of the podcast and what we did to fix it. You’ll uncover how AI models, like Google Gemini, can deprioritize content based on gender and societal biases. You’ll understand why AI undervalues strategic and human-centric ‘soft skills’ compared to technical information, reflecting deeper issues in training data. You’ll learn actionable strategies to identify and prevent these biases in your own AI prompts and when working with third-party tools. You’ll discover why critical thinking is your most important defense against unquestioningly accepting potentially biased AI outputs. Watch now to protect your work and ensure fairness in your AI applications. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-how-to-identify-and-mitigate-bias-in-ai.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In-Ear Insights, let’s tackle the issue of bias within large language models. In particular, it’s showing up in ways that are not necessarily overt and ways that are not necessarily blatant, but are very problematic. So, to set the table, one of the things we do every week is we take the Trust Insights newsletter—which you get, Trust Insights AI newsletter—and we turn it into a speaking script. Then Katie reads this script aloud. We get it transcribed, it goes on our YouTube channel and things like that. Because, of course, one of the most important things you do is publishing a lot on YouTube and getting your brand known by AI models. Christopher S. Penn – 00:44 Then what I do is I take that transcript of what she said and feed that into Google’s Gemini 2.5 Pro model, and it creates the YouTube description and the tags. Here’s what happened recently with this. So I gave it the transcript and I said, “Make me my stuff.” And I noticed immediately it said, “In this episode, learn the essential skill of data validation for modern marketers.” Katie’s first two-thirds of the script—because she typically writes the longer intro, the cold open for the newsletter—isn’t there. And I said, “You missed half the show.” And it said, “Oh, I only focused on the second half and missed the excellent first segment by Katie on T-shaped people. Thank you for the correction.” And it spit out the correct version after that. And I said, “Why? Why did you miss that?” Christopher S. Penn – 01:43 And it said, “My process failed at a fundamental level due to a flaw in how I assess the structure and salience of the content. Let me explain my mistake. When I first received the transcript, I did an initial scan. It presents two different segments. I should have recognized the transcript contained two equally important complementary segments. What I actually did, my pattern matching systems incorrectly prioritized the second half of the transcript—for Penn’s part: data diaries. I interpreted this as the main or technical part of the episode. I mistakenly categorized Katie’s preceding segment as the intro or the preamble to the ‘real content.'” That alone is offensive. Then I said, “Okay, well, continue on.” It said, “I suffer from salience binds. Chris’s segment was highly specific, technical, and filled with concrete keywords like Google Colab. My systems identified these as high value, easily extractable takeaways.” Christopher S. Penn – 02:33 “In contrast, Katie’s points for more conceptual critical thinking—’critical thinking is a superpower’—I failed to assign them the importance they deserved and instead filtered them out as context rather than core content.” And I said, it said, “I’m gonna do better.” And I yelled, “You can’t do better. Your model is fixed. You’re a decoder only.” And it had some words about that, saying, “I apologize.” Then I said, “Revisit your omission of Katie’s segment. Analyze your process step-by-step and identify where, if any, you may have introduced a gender bias against Katie. Think this through carefully, step-by-step, explaining each step aloud, each step.” And it said, “This analysis explains why potential bias [was introduced]. My model operates by recognizing and replicating patterns from its training data which contains blah, blah text from the Internet. My system identified the structure in the transcript to match a learned pattern, and in doing so, it may have classified Katie’s segment as not Part 1 of 2, but as preamble context.” Christopher S. Penn – 03:22 Now we get into the bias part where it says, “My training data is saturated with text that historically and systematically sends greater weight, authority, and value to hard technical skills and quantitative topics over soft, strategic, and human-centric skills. The concepts Chris discusses are archetypal hard skills. The concepts Katie discusses are considered soft skills. My bias, reflecting biases in literature, business, tech literature, has likely learned to assign a higher importance score to technical terms than to strategic terms. Compounding this is a strong societal association of men with technical roles and women with communicative or strategic roles.” Christopher S. Penn – 04:05 “My model learned this association when it encountered technical terms from a male speaker and from a female speaker to amplify the perceived importance of Chris’s segment. Therefore, my system didn’t just see two sets of keywords. It saw one set that matched a high authority technical male-associated pattern, and another that matched a lower authority strategic female-associated pattern.” We went on back and forth and obviously ended up fixing this up. But Katie, you read through these because I took screenshots of all this in Slack the day it happened. This is now about a week old. What are your initial thoughts on what this language model has done? Katie Robbert – 04:47 Wow. I mean, I’m trying not to get too emotional because it’s such a big thing. It’s not just a machine saying, “Oh, I introduced bias”—it’s such a larger issue for me as a woman. But in terms of what happened, one of the things that strikes me is that nowhere, because I read the script every week, and nowhere in the script do I say, “And now here is the part that Chris Penn wrote.” It’s literally, “Here’s the Data Diaries.” The model went out and said, “Hey, a woman is reading this. She introduced herself with a female-identified name. Let me go find the man, the male.” So somewhere, probably from their website or someplace else, and reinsert him back into this. Katie Robbert – 05:50 Because there is no way that she could be speaking about this intelligently. That’s in addition to deprioritizing the opening segment. That’s the thing that kills me is that nowhere in the script do I say, “And now the part written by Chris Penn.” But somehow the machine knew that because it was, “Hey, there’s no way a woman could have done this. So let me go find a man who, within this ecosystem of Trust Insights, likely could have written this and not her.” Now, in reality, are you more technical than me? Yes. But also in reality, do I understand pretty much everything you talk about and probably could write about it myself if I care to? Yes. But that’s not the role that I am needed in at Trust Insights. Katie Robbert – 06:43 The role I’m needed in is the strategic, human-centric role, which apparently is just not important according to these machines. And my gut reaction is anger and hurt. I got my feelings hurt by a machine. But it’s a larger issue. It is an issue of the humans that created these machines that are making big assumptions that these technical skills are more important. Technical skills are important, period. Are they more important than human skills, “soft skills?” I would argue no, because—oh, I mean, this is such a heavy topic. But no, because no one ever truly does anything in complete isolation. When they do, it’s likely a Unabomber sociopath. And obviously that does not turn out well. People need other people, whether they want to admit it or not. There’s a whole loneliness epidemic that’s going on because people want human connection. It is ingrained in us as humans to get that connection. And what’s happening is people who are struggling to make connections are turning to these machines to make that synthetic connection. Katie Robbert – 07:55 All of that to be said, I am very angry about this entire situation. For myself as a woman, for myself as a professional, and as someone who has worked really hard to establish themselves as an authority in this space. It is not. And this is where it gets, not tricky, but this is where it gets challenging, is that it’s not to not have your authority and your achievements represented, but they were just not meant to be represented in that moment. So, yeah, short version, I’m really flipping angry. Christopher S. Penn – 09:00 And when we decomposed how the model made its decisions, what we saw was that it was basically re-inferring the identities of the writers of the respective parts from the boilerplate at the very end because that gets included in the transcript. Because at first we’re, “But you didn’t mention my name anywhere in that.” But we figured out that at the end that’s where it brought it back from. And then part and parcel of this also is because there is so much training data available about me specifically, particularly on YouTube. I have 1,500 videos on my YouTube channel. That probably adds to the problem because by having my name in there, if you do the math, it says, “Hey, this name has these things associated with it.” And so it conditioned the response further. Christopher S. Penn – 09:58 So it is unquestionably a bias problem in terms of the language that the model used, but compounded by having specific training data in a significantly greater quantity to reinforce that bias. Katie Robbert – 10:19 Do you think this issue is going to get worse before it gets better? Christopher S. Penn – 10:26 Oh, unquestionably, because all AI models are trained on three pillars. We’ve talked about this many times in the show. Harmless: don’t let the users ask for bad things. Helpful: let me fulfill the directives I’m given. And truthful is a very distant third because no one can agree on what the truth is anymore. And so helpful becomes the primary directive of these tools. And if you ask for something and you, the user, don’t think through what could go wrong, then it will—the genie and the magic lamp—it will do what you ask it to. So the obligation is on us as users. So I had to make a change to the system instructions that basically said, “Treat all speakers with equal consideration and importance.” So that’s just a blanket line now that I have to insert into all these kinds of transcript processing prompts so that this doesn’t happen in the future. Because that gives it a very clear directive. No one is more important than the others. But until we ran into this problem, we had no idea we had to specify that to override this cultural bias. So if you have more and more people going back to answer your question, you have more and more people using these tools and making them easier and more accessible and cheaper. They don’t come with a manual. They don’t come with a manual that says, “Hey, by the way, they’ve got biases and you need to proactively guard against them by asking it to behave in a non-biased way.” You just say, “Hey, write me a blog post about B2B marketing.” Christopher S. Penn – 12:12 And it does. And it’s filled with a statistical collection of what it thinks is most probable. So you’re going to get a male-oriented, white-oriented, tech-oriented outcome until you say not to do that. Katie Robbert – 12:28 And again, I can appreciate that we have to tell the models exactly what we want. In that specific scenario, there was only one speaker. And it said, “No, you’re not good enough. Let me go find a man who can likely speak on this and not you.” And that’s the part that I will have a very hard time getting past. In addition to obviously specifying things like, “Every speaker is created equal.” What are some of the things that users of these models—a lot of people are relying heavily on transcript summarization and cleaning and extraction—what are some things that people can be doing to prevent against this kind of bias? Knowing that it exists in the model? Christopher S. Penn – 13:24 You just hit on a really critical point. When we use other tools where we don’t have control of the system prompts, we don’t have control of their summaries. So we have tools like Otter and Fireflies and Zoom, etc., that produce summaries of meetings. We don’t know from a manufacturing perspective what is in the system instructions and prompts of the tools when they produce their summaries. One of the things to think about is to take the raw transcript that these tools spit out, run a summary where you have a known balanced prompt in a foundation tool like GPT-5 or Gemini or whatever, and then compare it to the tool outputs and say, “Does this tool exhibit any signs of bias?” Christopher S. Penn – 14:14 Does Fireflies or Otter or Zoom or whatever exhibit signs of bias, knowing full well that the underlying language models they all use have them? And that’s a question for you to ask your vendors. “How have you debiased your system instructions for these things?” Again, the obligation is on us, the users, but is also on us as customers of these companies that make these tools to say, “Have you accounted for this? Have you asked the question, ‘What could go wrong?’ Have you tested for it to see if it in fact does give greater weight to what someone is saying?” Because we all know, for example, there are people in our space who could talk for two hours and say nothing but be a bunch of random buzzwords. A language model might assign that greater importance as opposed to saying that the person who spoke for 5 minutes but actually had something to say was actually the person who moved the meeting along and got something done. And this person over here was just navel-gazing. Does a transcript tool know how to deal with that? Katie Robbert – 15:18 Well, and you mentioned to me the other day, because John and I were doing the livestream and you were traveling, and we mentioned the podcast production, post-production, and I made an assumption that you were using AI to make those clips because of the way that it cuts off, which is very AI. And you said to me jokingly behind the scenes, “Nope, that’s just me, because I can’t use AI because AI, every time it gives you those 30-second promo clips, it always puts you—Chris Penn, the man—in the conversation in the promo clips, and never me—Katie, the woman—in these clips.” Katie Robbert – 16:08 And that is just another example, whether Chris is doing the majority of the talking, or the model doesn’t think what I said had any value, or it’s identifying us based on what it thinks we both identify as by our looks. Whatever it is, it’s still not showing that equal airspace. It’s still demonstrating its bias. Christopher S. Penn – 16:35 And this is across tools. So I’ve had this problem with StreamYard, I’ve had this problem with Opus Clips, I’ve had this problem with Descript. And I suspect it’s two things. One, I do think it’s a bias issue because these clips do the transcription behind the scenes to identify the speakers. They diarise the speakers as well, which is splitting them up. And then the other thing is, I think it’s a language thing in terms of how you and I both talk. We talk in different ways, particularly on podcasts. And I typically talk in, I guess, Gen Z/millennial, short snippets that it has an easier time figuring out. Say, “This is this 20-second clip here. I can clip this.” I can’t tell you how these systems make the decisions. And that’s the problem. They’re a black box. Christopher S. Penn – 17:29 I can’t say, “Why did you do this?” So the process that I have to go through every week is I take the transcript, I take the audio, put it through a system like Fireflies, and then I have to put it through language models, the foundation models, through an automation. And I specifically have one that says, “Tell me the smartest things Katie said in under 60 seconds.” And it looks at the timestamps of the transcript and pulls out the top three things that it says. And that’s what I use with the timestamps to make those clips. That’s why they’re so janky. Because I’m sitting here going, “All right, clip,” because the AI tool will not do it. 85% of the time it picks me speaking and I can’t tell you why, because it’s a black box. Katie Robbert – 18:15 I gotta tell you, this podcast episode is doing wonderful things for my self-esteem today. Just lovely. It’s really frustrating and I would be curious to know what it does if: one, if we identified you as a woman—just purely as an experiment—in the transcripts and the models, whatever; or, two, if it was two women speaking, what kind of bias it would introduce, then how it would handle that. Obviously, given all the time and money in the world, we could do that. We’ll see what we can do in terms of a hypothesis and experiment. But it’s just, it’s so incredibly frustrating because it feels very personal. Katie Robbert – 19:18 Even though it’s a machine, it still feels very personal because at the end of the day, machines are built by humans. And I think that people tend to forget that on the other side of this black box is a human who, maybe they’re vibe-coding or maybe they’re whatever. It’s still a human doing the thing. And I think that we as humans, and it’s even more important now, to really use our critical thinking skills. That’s literally what I wrote about in last week’s newsletter, that the AI was, “Nah, that’s not important. It’s not really, let’s just skip over that.” Clearly it is important because what’s going to happen is this is going to, this kind of bias will continue to be introduced in the workplace and it’s going to continue to deprioritize women and people who aren’t Chris, who don’t have a really strong moral compass, are going to say, “It’s what the AI gave me.” Katie Robbert – 20:19 “Who am I to argue with the AI?” Whereas someone Chris is going to look and be, “This doesn’t seem right.” Which I am always hugely appreciative of. Go find your own version of a Chris Penn. You can’t have this one. But you are going to. This is a “keep your eyes open.” Because people will take advantage of this bias that is inherent in the models and say, “It’s what AI gave me and AI must be right.” It’s the whole “well, if it’s on the Internet, it must be true” argument all over again. “Well, if the AI said it, then it must be true.” Oh my God. Christopher S. Penn – 21:00 And that requires, as you said, the critical thinking skill. Someone to ask a question, “What could go wrong?” and ask it unironically at every stage. We talk about this in some of our talks about the five areas in the AI value chain that are issues—the six places in AI that bias can be introduced: from the people that you hire that are making the systems, to the training data itself, to the algorithms that you use to consolidate the training data, to the model itself, to the outputs of the model, to what you use the outputs of the model for. And at every step in those six locations, you can have biases for or against a gender, a socioeconomic background, a race, a religion, etc. Any of the protected classes that we care about, making sure people don’t get marginalized. Christopher S. Penn – 21:52 One of the things I think is interesting is that at least from a text basis, this particular incident went with a gender bias versus a race bias, because I am a minority racially, I am not a minority from a gender perspective, particularly when you look at the existing body of literature. And so that’s still something we have to guard against. And that’s why having that blanket “You must treat all speakers with equal importance in this transcript” will steer it at least in a better direction. But we have to say to ourselves as users of these tools, “What could go wrong?” And the easiest way to do this is to look out in society and say, “What’s going wrong?” And how do we not invoke that historical record in the tools we’re using? Katie Robbert – 22:44 Well, and that assumes that people want to do better. That’s a big assumption. I’m just going to leave that. I’m just going to float that out there into the ether. So there’s two points that I want to bring up. One is, well, I guess, two points I want to bring up. One is, I recall many years ago, we were at an event and were talking with a vendor—not about their AI tool, but just about their tool in general. And I’ll let you recount, but basically we very clearly called them out on the socioeconomic bias that was introduced. So that’s one point. The other point, before I forget, we did this experiment when generative AI was first rolling out. Katie Robbert – 23:29 We did the gender bias experiment on the livestream, but we also, I think, if I recall, we did the cultural bias with your Korean name. And I think that’s something that we should revisit on the livestream. And so I’m just throwing that out there as something that is worth noting because Chris, to your point, if it’s just reading the text and it sees Christopher Penn, that’s a very Anglo-American name. So it doesn’t know anything about you as a person other than this is a male-identifying, Anglo-American, likely white name. And then the machine’s, “Oh, whoops, that’s not who he is at all.” Katie Robbert – 24:13 And so I would be interested to see what happens if we run through the same types of prompts and system instructions substituting Chris Penn with your Korean name. Christopher S. Penn – 24:24 That would be very interesting to try out. We’ll have to give that a try. I joke that I’m a banana. Yellow on the outside, mostly white on the inside. Katie Robbert – 24:38 We’ll unpack that on the livestream. Christopher S. Penn – 24:41 Exactly. Katie Robbert – 24:42 Go back to that. Christopher S. Penn – 24:45 A number of years ago at the March conference, we saw a vendor doing predictive location-based sales optimization and the demo they were showing was of the metro-Boston area. And they showed this map. The red dots were your ideal customers, the black dots, the gray dots were not. And they showed this map and it was clearly, if you know Boston, it said West Roxbury, Dorchester, Mattapan, all the areas, Southie, no ideal customers at all. Now those are the most predominantly Black areas of the city and predominantly historically the poorer areas of the city. Here’s the important part. The product was Dunkin’ Donuts. The only people who don’t drink Dunkin’ in Boston are dead. Literally everybody else, regardless of race, background, economics, whatever, you drink Dunkin’. I mean that’s just what you do. Christopher S. Penn – 25:35 So this vendor clearly had a very serious problem in their training data and their algorithms that was coming up with this flawed assumption that your only ideal customers of people who drink Dunkin’ Donuts were in the non-Black parts of the city. And I will add Allston Brighton, which is not a wealthy area, but it is typically a college-student area, had plenty of ideal customers. It’s not known historically as one of the Black areas of the city. So this is definitely very clear biases on display. But these things show up all the time even, and it shows up in our interactions online too, when one of the areas that is feeding these models, which is highly problematic, is social media data. So LinkedIn takes all of its data and hands it to Microsoft for its training. XAI takes all the Twitter data and trains its Grok model on it. There’s, take your pick as to where all these. I know everybody’s Harvard, interesting Reddit, Gemini in particular. Google signed a deal with Reddit. Think about the behavior of human beings in these spaces. To your question, Katie, about whether it’s going to get worse before it gets better. Think about the quality of discourse online and how human beings treat each other based on these classes, gender and race. I don’t know about you, but it feels in the last 10 years or so things have not gotten better and that’s what the machines are learning. Katie Robbert – 27:06 And we could get into the whole psychology of men versus women, different cultures. I don’t think we need to revisit that. We know it’s problematic. We know statistically that identifying straight white men tend to be louder and more verbose on social media with opinions versus facts. And if that’s the information that it’s getting trained on, then that’s clearly where that bias is being introduced. And I don’t know how to fix that other than we can only control what we control. We can only continue to advocate for our own teams and our own people. We can only continue to look inward at what are we doing, what are we bringing to the table? Is it helpful? Is it harmful? Is it of any kind of value at all? Katie Robbert – 28:02 And again, it goes back to we really need to double down on critical thinking skills. Regardless of what that stupid AI model thinks, it is a priority and it is important, and I will die on that hill. Christopher S. Penn – 28:20 And so the thing to remember, folks, is this. You have to ask the question, “What could go wrong?” And take this opportunity to inspect your prompt library. Take this opportunity to add it to your vendor question list. When you’re vetting vendors, “How have you guarded against bias?” Because the good news is this. These models have biases, but they also understand bias. They also understand its existence. They understand what it is. They understand how the language uses it. Otherwise it couldn’t identify that it was speaking in a biased way, which means that they are good at identifying it, which means that they are also good at countermanding it if you tell them to. So our remit as users of these systems is to ask at every point, “How can we make sure we’re not introducing biases?” Christopher S. Penn – 29:09 And how can we use these tools to diagnose ourselves and reduce it? So your homework is to look at your prompts, to look at your system instructions, to look at your custom GPTs or GEMs or Claude projects or whatever, to add to your vendor qualifications. Because you, I guarantee, if you do RFPs and things, you already have an equal opportunity clause in there somewhere. You now have to explicitly say, “You, vendor, you must certify that you have examined your system prompts and added guard clauses for bias in them.” And you must produce that documentation. And that’s the key part, is you have to produce that documentation. Go ahead, Katie. I know that this is an opportunity to plug the AI kit. It is. Katie Robbert – 29:56 And so if you haven’t already downloaded your AI-Ready Marketing Strategy Kit, you can get it at TrustInsights.AI/Kit. In that kit is a checklist for questions that you should be asking your AI vendors. Because a lot of people will say, “I don’t know where to start. I don’t know what questions I should ask.” We’ve provided those questions for you. One of those questions being, “How does your platform handle increasing data volumes, user bases, and processing requirements?” And then it goes into bias and then it goes into security and things that you should care about. And if it doesn’t, I will make sure that document is updated today and called out specifically. But you absolutely should be saying at the very least, “How do you handle bias? Do I need to worry about it?” Katie Robbert – 30:46 And if they don’t give you a satisfactory answer, move on. Christopher S. Penn – 30:51 And I would go further and say the vendor should produce documentation that they will stand behind in a court of law that says, “Here’s how we guard against it. Here’s the specific things we have done.” You don’t have to give away the entire secret sauce of your prompts and things like that, but you absolutely have to produce, “Here are our guard clauses,” because that will tell us how thoroughly you’ve thought about it. Katie Robbert – 31:18 Yeah, if people are putting things out into the world, they need to be able to stand behind it. Period. Christopher S. Penn – 31:27 Exactly. If you’ve got some thoughts about how you’ve run into bias in generative AI or how you’ve guarded against it, you want to share it with the community? Pop on by our free Slack. Go to TrustInsights.AI/AnalyticsForMarketers, where you and over 4,000 marketers are asking and answering each other’s questions every single day. And wherever it is you watch or listen to the show, if there’s a channel you’d rather have it on instead, go to TrustInsights.AI/TIPodcast. You can find us in all the places fine podcasts are served. Thanks for tuning in. I’ll talk to you on the next one. Katie Robbert – 32:01 Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Katie Robbert – 32:54 Trust Insights also offers expert guidance on social media analytics, marketing technology (MarTech) selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or Data Scientist to augment existing teams beyond client work. Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights podcast, the Inbox Insights newsletter, the So What? Livestream, webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting-edge generative AI techniques and large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Data Storytelling. This commitment to clarity and accessibility extends to Trust Insights educational resources which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

This week on the podcast I am SO excited to welcome, my very own business coach, Vix Meldrew. I can honestly say ByKayleigh would not be where it is today without her guidance so I was so happy to be able to sit down with her to discuss her own practice and journey.We spoke about:- Vix's journey from teacher to make up artist. - How she utilises AI to aid her business and save her time. - Finding the right community for you. - The future of the educator space.LINKS: Join Season 2 of my educator programme ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠right here. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join the makeup artist membership - Level Up Club here ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠monthly makeup artist membership!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Use code ANTIMEMBERSHIP to join for £50 for the ENTIRE YEAR!Free Trial Code: LUCTRYMESubscribe to me on YouTube ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!Follow me on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!  Follow Vix on ⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠!Kayleigh's diary of the Business BTS⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ newsletter!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 

Ethan Hochberg and his partner have built three AI-powered X personas that rack up 200 million views annually—all while running a lean creative agency for AI and tech brands. These aren't just vanity accounts; they're distribution engines that feed into their core business.In this episode, Ethan walks us through:- How they blend AI content generation with a human touch to keep posts authentic and engaging.- The Grok Deep Search workflow they use to find and validate influencers in minutes (a task that used to take days).- A multi-step outreach strategy that personalizes every message for higher response rates.- How to brainstorm and produce short-form video content with V GPT for TikTok, Reels, and Shorts—without a production studio.- This is a masterclass in using AI tools not just to save time, but to elevate the quality of your marketing while running a “tiny team.”Timestamps02:45 – From AI Marketing Directory to running a creative agency04:48 – Tiny teams, big results with AI workflows06:25 – Demo 1: Grok Deep Search for influencer discovery08:15 – Why influencer marketing is more relevant than ever12:29 – Grok's validation process: avoiding fake engagement15:25 – Applying the workflow beyond influencers (newsletters, blogs, PR)17:51 – Using AI to think strategically, not just automate22:09 – The output: influencer tables in minutes24:01 – Demo 2: Personalized outreach angle generator28:01 – Applying this to PR and content partnerships32:00 – Demo 3: V GPT for short-form AI video creation37:40 – How much of your feed is already AI-generated?40:00 – Matching viral templates to your niche for higher watch time41:50 – Using AI video tools mainly for brainstorming content ideas42:56 – How to connect with EthanTools & Technologies MentionedGrok – AI chatbot from X with live access to the Twitter feed; ideal for influencer discovery and current-event research.Grok Deep Search – Paid Grok feature ($8/mo with X Premium) that crawls hundreds of live sources for validated results.ChatGPT + GPT Store – OpenAI's platform for custom GPTs, used here to integrate with video creation tools.V GPT – AI video generator with realistic avatars, captions, and voiceover.CapCut (mentioned) – Popular editing tool; V GPT is positioned as a more advanced alternative for avatar-driven content.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.Ethan's website: https://marketingguys.co/

Nick Turley is Head of ChatGPT, the fastest-growing product in history, with 700 million weekly active users (10% of the world's population). He was part of the original hackathon team that shipped ChatGPT in just 10 days, helped it grow from zero to billions in revenue, and leads product for what may be the most consequential product of our time. We recorded this the day before GPT-5 launched.We discuss:1. The 10-day sprint from deciding to ship ChatGPT to Sam Altman's tweet (and why it was originally called “Chat with GPT-3.5”)2. How they ran a willingness-to-pay Van Westendorp survey in their Discord to decide on the $20/month price point that everyone copied3. The “Is it maximally accelerated?” philosophy that drives OpenAI's insane shipping velocity4. Why ChatGPT's retention curve “smiles”—users leave, then come back months later using it more5. The accidental decisions that changed history, including not having a waitlist6. The impact ChatGPT will have on SEO and product growth7. The counterintuitive reason why shipping unpolished AI features beats waiting for perfection8. Why ChatGPT intentionally shipped with that “ugly” model-chooser dropdown9. How TikTok comments became a primary user research channel early on—Brought to you by:Orkes—The enterprise platform for reliable applications and agentic workflows: https://www.orkes.io/Vanta—Automate compliance. Simplify security: https://vanta.com/lennyPostHog—How developers build successful products: https://posthog.com/lenny—Transcript: https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/170411252/my-biggest-takeaways-from-this-conversation—Where to find Nick Turley• X: https://x.com/nickaturley• LinkedIn: https://www.linkedin.com/in/nicholasturley/• Website: https://nickturley.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Nick Turley(04:52) GPT-5 launch(09:13) The vision for ChatGPT and AI assistants(13:52) The early days of ChatGPT(17:14) The success and impact of ChatGPT(20:44) Product development and iteration(23:11) Maximally accelerated: the OpenAI approach(26:17) Retention and user engagement(33:42) The future of chat interfaces(36:31) The evolution of ChatGPT(38:52) Subscription model and pricing strategies(42:10) Enterprise adoption and challenges(44:10) Balancing multiple product lines(52:13) Emergent use cases and user feedback(01:02:15) OpenAI's unique product development approach(01:05:07) The importance of team composition(01:08:50) Balancing speed and quality in AI development(01:14:23) The role of evals in product development(01:16:13) The future of AI-driven content and GPTs(01:21:51) Philosophy and product leadership(01:23:47) Career journey and advice(01:27:49) Lightning round and final thoughts—References: https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Obvious: ChatGPT's GPT-5 is here and it's really good.Not so obvious: the gap between novice and experts just shrunk 90%. In a short few hours, OpenAI gave even free users access to now the world's most powerful model. As the most used AI chatbot in the world by a wide margin, the quality work we all produce has also just gotten a huge bump. But there's a lot beneath the surface. Join us as we dissect what's new in GPT-5 and 7 big trends you probably don't know but should pay attention to. Newsletter: 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:GPT-5 Official Release OverviewGPT-5 User Rollout to 700 MillionGPT-5 Unified Hybrid Model ArchitectureAuto Model Switching and User ControlMajor Upgrade for Free ChatGPT UsersGPT-5 Benchmark and Accuracy ImprovementsGPT-5 Vibe Coding and Canvas FeaturesAdvanced Voice Mode in Custom GPTsReduced Hallucinations and SycophancyMicrosoft Copilot Instant GPT-5 UpgradeImpact on Enterprise Software and APIsGPT-5 Disruptive API Pricing StructureTrends in Corporate AI AdoptionTimestamps:00:00 "Everyday AI Insights"05:54 "Adaptive Model Response Modes"08:14 GPT4O Model Critique11:17 GPT4O Nano Upgrade Impact17:26 GPT Model Selection Simplified20:53 Canvas Code Rendering and Quick Answer Feature24:09 "GPT5 Model Routing Overview"26:44 "GPT-5: Your New Daily Driver"30:08 AI Model Advances: Game-Changing Improvements33:43 Advanced Voice Mode in GPTs37:45 Massive Microsoft Copilot Upgrade38:49 Software Access and Licensing Challenges43:09 AI Implementation Challenges in Top Companies46:37 "GPT-5 Testing and Trends"Keywords:GPT-5, GPT5, OpenAI, AI model update, Large Language Model, flagship model, hybrid model, AI technology, model auto-switching, deep thinking mode, fast response mode, model router, free AI access, paid ChatGPT users, ChatGPT free users, model selection, GPT-4O, GPT-4 Turbo, model reasoning, hallucination rate, sycophancy reduction, advanced voice mode, GPTs custom models, Canvas mode, Vibe coding, API pricing, API tokens, Microsoft Copilot, Microsoft 365 Copilot, GitHub Copilot, enterprise AI upgrade, LM arena, ELO score, Anthropic, Claude 4.1, Claude Sonnet, Gemini 2.5 Pro, personalized AI assistant, software innovation, coding capabilities, Inc 5000 companies, enterprise adoption, custom instructions, Pro plan, Plus plan, thinking mode, human preference, automated rSend 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

#271 GTM Engineering | In this episode, Dave is joined by John Short, CEO of Compound Growth Marketing, along with Cammy Keiler, Justin Johnson, and Dan Guenet. Together, they break down the rise of GTM engineering, what it is, how it differs from RevOps, and why B2B teams are investing in it.Dave and the crew cover:The core difference between RevOps and GTM engineering (and why the latter is more focused on building than just integrating)Real GTM engineering use cases, from AI-powered sales tools to mid-funnel campaigns that go way beyond ebooksHow GTM engineers are driving higher revenue per employee and why this role should be one of your first five marketing hiresWhether you're hiring or just GTM-curious, you'll leave this episode with a clear definition of the role, real-world examples, and tactical ways GTM engineers drive impact.Timestamps(00:00) - – Intro (03:33) - – Why this topic resonated with 1,200+ registrants (05:48) - – What even is **GTM engineering? (08:03) - – GTM engineering vs. RevOps vs. Marketing Ops (11:18) - – How AI is driving this role forward (14:28) - – Real examples: ABM campaigns, mid-funnel tools, sales call analysis (19:38) - – Tools GTM engineers are using today (Clay, Unify, GPTs) (23:03) - – Role of GTM engineering in revenue per employee (27:18) - – How GTM engineers enable sales + reduce headcount (31:33) - – What Dan actually does all day as a GTM engineer (36:23) - – Custom GPTs for sales and marketing teams (39:38) - – What MCP servers are (and why they matter) (44:08) - – Claude, Gamma, and AI-powered content systems (46:53) - – Why this isn't just PLG (or ABM, or RevOps) (50:43) - – When to hire a GTM engineer (53:23) - – Big feelings about the role (and why they exist) (55:33) - – Closing thoughts + what to take away Send guest pitches and ideas to hi@exitfive.comJoin the Exit Five Newsletter here: https://www.exitfive.com/newsletterCheck out the Exit Five job board: https://jobs.exitfive.com/Become an Exit Five member: https://community.exitfive.com/checkout/exit-five-membership***Today's episode is brought to you by Walnut.Why are we pouring all this effort into marketing just to push buyers to a “request a demo” or “contact sales” button?Come on, today's buyers don't want to talk to sales right away. They want to explore your product themselves, see how it works, and understand its value before booking a meeting.That's where Walnut comes in.Walnut empowers marketers and GTM teams to create interactive, self-guided product experiences in minutes. Embed these experiences on your site, in emails, or anywhere in your funnel to let buyers engage on their terms, from awareness to close and beyond. That's the beauty of Walnut - you're getting a platform that your sales and CS colleagues can use to showcase the product too.And the best part? You get real intent data—see which features prospects love, where they drop off, and what's actually driving pipeline. Demo Qualified Leads are the new MQL.Over 500 companies, like Adobe and NetApp, use Walnut to drive 2-3x higher website conversion rates and 7 figures in pipeline on a yearly basis. So do you want to drive more leads, shorten sales cycles, and actually show your product instead of hiding it behind another typical B2B CTA? Go check out Walnut.io. And if you tell them Dave from Exit 5 sent you, they'll build out your first demo for free!

  The Ruckus Report Quick take: Student voice isn't just nice to have—it's the missing ingredient in creating schools worth showing up for. Casey Wright proves that when you design with students instead of around them, everything from panini lines to classroom layouts becomes a catalyst for engagement. Meet Your Fellow Ruckus Maker Casey Wright has served as an educational leader in Illinois high school districts for 30 years. He began his career teaching social studies at Rolling Meadows High School while coaching girls track and boys basketball. After spending 12 years at Highland Park High School as an administrator, Casey is currently an Associate Principal at Glenbrook South High School in Glenview, Illinois. With a Master of Arts in Curriculum and Instruction from National-Louis University and a Bachelor of Arts in Social Studies Education from the University of Illinois at Urbana-Champaign, Casey is also a member of the Illinois Association of School Business Officials. Breaking Down the Old Rules

We're diving into the concept of second brain systems—how to use custom GPTs (in ChatGPT) and Gems (in Gemini) to scale your marketing team's productivity, eliminate repetitive tasks, and streamline onboarding, content creation, paid media, and more. You'll learn: ✅ What a second brain is (and why marketers need one) ✅ How to build your own custom GPT or Gem ✅ What to feed your second brain to get great outputs ✅ Real SmartBug use cases ✅ Tips for maintenance, security, and future-proofing your setup Whether you're new to AI or a seasoned power user, you'll walk away with actionable tips to make AI work for your team—without replacing the human magic that makes your marketing shine. ⏱️ Key Highlights: 00:00 – Intro: Why second brains are changing how marketers work 03:10 – What is a second brain in marketing and AI? 05:00 – ChatGPT vs. Gemini: What makes a “second brain” different from on-the-fly prompting 07:50 – Eliminating information silos and dusty data 10:55 – ⚠️ AI Safety Disclaimer 11:00 – Step-by-step: How to build a custom Gem (Gemini) 14:15 – How to program user experiences into your Gem 16:00 – What kinds of data to include in your second brain 18:55 – How technical do you need to be? (Spoiler: Not at all!) 20:25 – SmartBug example: SME interview prep GPT 22:40 – Fun side note: Naming your GPTs 24:30 – Where second brains save time and increase quality 29:30 – Use cases beyond content: Paid media, reporting, onboarding 30:30 – What not to offload to AI 31:15 – Best practices and maintenance tips 34:50 – Who should “own” a shared Gem or GPT on your team? 36:40 – Common mistakes to avoid 38:00 – What's next for second brain systems 40:15 – Skills marketers should start building now 42:55 – Final thoughts: Adding human connection back in

Leveraging AI to be a more efficient content creator and the role of keywords in today's SEO landscape with Aleka Shunk. ----- Welcome to episode 530 of The Food Blogger Pro Podcast! This week on the podcast, Bjork interviews Aleka Shunk from Aleka's Get Together and Keywords with Aleka. She also happens to be one of our FBP experts!  How to Personalize AI for Better Content with Aleka Shunk In this conversation, Bjork and Aleka discuss the evolving landscape of SEO and content creation, particularly focusing on the role of keywords and the integration of AI tools like ChatGPT. They explore how keywords remain essential in SEO, despite changes in content creation approaches. Aleka will also share insights on how to use AI to streamline content creation processes, enhance brand collaborations, and personalize interactions for better outputs. The discussion emphasizes the importance of adapting to AI advancements and leveraging them to improve efficiency and creativity in content creation. Three episode takeaways: Keywords are still relevant, but AI can be your co-pilot: Don't ditch those keywords! They're still super important for getting your content found. Think of AI as your super-efficient sidekick that can help you with everything from brainstorming ideas and creating outlines to finding new content opportunities. Personalize your AI for pro-level results: Just like you wouldn't give every human the same instructions, don't treat AI tools the same! The more you personalize your interactions and even create custom GPTs for specific tasks, the better and more relevant your AI-generated content will be.  Keeping it real in the age of AI: AI can seriously speed up your workflow and help you refine your content, saving you a ton of time, but remember, the human touch is what makes your content truly unique and engaging! You can leverage AI to boost your efficiency, but always keep your personal style and voice front and center. Resources: Aleka's Get Together Cooking with Keywords Be sure to check out Aleka's new course, Blogging with AI! Use the code FBP30 for 30% off the course! ChatGPT Episode 518 of The Food Blogger Pro podcast: How Molly Thompson Grew Her Email List from 15K to 100K Claude Gemini KeySearch Granola Buy Back Your Time by Dan Martell Episode 484 of The Food Blogger Pro podcast: The Importance of Building Community with A Couple Cooks Liss Legal Follow Aleka on Instagram here and here! Join the Food Blogger Pro Podcast Facebook Group Thank you to our sponsors! This episode is sponsored by Yoast and Raptive. Learn more about our sponsors at foodbloggerpro.com/sponsors. Interested in working with us too? Learn more about our sponsorship opportunities and how to get started here. If you have any comments, questions, or suggestions for interviews, be sure to email them to podcast@foodbloggerpro.com. Learn more about joining the Food Blogger Pro community at foodbloggerpro.com/membership.

Unlocking Quantum Revenue Growth with AI – Insights from Ursula Mentjes of Ursula Inc.In this episode of The Thoughtful Entrepreneur, host Josh Elledge speaks with Ursula Mentjes, founder of Ursula Inc. and host of the Quantum Revenue Expansion podcast. Ursula shares how entrepreneurs can leverage AI tools like custom GPTs and AI agents to scale smarter, build stronger systems, and increase revenue. If you're a service-based business owner aiming for seven figures, this conversation offers practical guidance and expert-level strategy for navigating the fast-changing landscape of AI and automation.How AI is Reshaping Sales, Content, and Scaling for Service-Based EntrepreneursUrsula emphasizes that AI isn't just another passing trend—it's a non-negotiable shift in how business will be done moving forward. Drawing parallels to the industrial revolution, she encourages entrepreneurs to explore AI playfully but seriously. Tools like ChatGPT, when customized and trained properly, can replace hours of manual work by handling sales outreach, content drafts, and even internal decision-making simulations. It's not about replacing people, she explains, but amplifying capacity and creativity.One of the most valuable takeaways from the episode is the use of custom GPTs and AI “agents” to streamline repetitive processes. Ursula's team developed a proprietary GPT to help clients write compelling sales emails, while also using agent swarms to tackle multi-step projects like client onboarding and marketing campaigns. Josh expands on this with a recommendation: simulate a team of AI personas (e.g., SEO coach, marketing strategist) to generate well-rounded business decisions quickly. When applied thoughtfully, AI can act like a virtual C-suite that's available 24/7.Finally, Ursula introduces The CEO Table, her dual-coach program designed to help service-based business owners scale from early six figures to seven. She and her co-coach Rebecca Hall offer clients a 360-degree view of business growth—blending mindset, sales, finance, and systems optimization. With personalized coaching, access to automation tools, and expert support, clients in the program fast-track their results while reducing burnout. AI plays a central role in this ecosystem, providing leverage and clarity where business owners often feel overwhelmed.About Ursula MentjesUrsula Mentjes is a sales expert, award-winning author, and founder of Ursula Inc. She helps entrepreneurs break through revenue plateaus using neuroscience-based coaching, mindset transformation, and AI-powered business systems.About Ursula Inc.Ursula Inc. helps service-based entrepreneurs grow from six to seven figures by aligning mindset, messaging, and scalable systems. The company offers elite coaching, digital programs, and tools that accelerate revenue with strategic AI integration.Links Mentioned in this Episode:Ursula Inc. WebsiteUrsula Mentjes on LinkedInQuantum Revenue Expansion PodcastFree tools: One Great Goal ebook, Uplevel Now, Scaling Roadmap, and live AI workshopEpisode Highlights:Why AI is essential—not optional—for business survivalCustom GPTs and AI agents as game changers in sales and operationsThe power of AI personas for decision-making and content creationThe CEO Table program and its dual-coach model for scaling smartHow to start integrating AI with simple tools and free resourcesConclusionAI is no longer a luxury—it's the foundation of scalable success. Ursula...

Would you like access to our advanced agency training for FREE? https://www.agencymastery360.com/training With clients increasingly expecting their agencies to leverage AI, are you waiting for client direction, or leading the way on how to use it? Today's featured guest has a unique vantage point on this shift. He runs a platform that connects clients with credible agencies while helping agencies showcase their expertise, giving him a front-row seat to what clients truly want and what agencies fear about AI. With hundreds of thousands of agencies on his platform, he's seen firsthand that the agencies standing out are the ones leading the AI conversation, not waiting for permission to start it. He'll share why educating your clients on the possibilities of AI is now a competitive advantage and how his company's new verification layer aims to bring trust and clarity to an increasingly crowded agency marketplace. Tim Condon is the Chief Revenue Officer at Clutch, the largest B2B service provider marketplace online, boasting over 300,000 agencies. Tim helps agencies showcase services, collect reviews, and attract qualified buyers. With a front-row seat to the challenges and wins of agencies across industries, Tim sees exactly how the best adapt—and how others risk falling behind. Tim has been on the show before with advice on how agency owners can separate from the pack and position their agencies for success. In this episode, we'll discuss: Is AI coming for your agency? Document your AI processes before it gets expensive. How you should be starting the AI conversation. The power of documented proof. Subscribe Apple | Spotify | iHeart Radio Sponsors and Resources This episode is brought to you by Wix Studio: If you're leveling up your team and your client experience, your site builder should keep up too. That's why successful agencies use Wix Studio — built to adapt the way your agency does: AI-powered site mapping, responsive design, flexible workflows, and scalable CMS tools so you spend less on plugins and more on growth. Ready to design faster and smarter? Go to wix.com/studio to get started. Is AI Coming for Your Agency? It Depends The elephant in every agency Slack channel: Will AI replace us? Tim sees a spectrum. Some agencies think they're immune (“We only serve local dentists, so we're safe.”), while others are already using AI to transform delivery, productizing what used to be manual labor into scalable SaaS products for other agencies. Most agencies are stuck in the middle - unsure where to begin and afraid to fall behind. Basically, if your clients are tech-savvy DIYers, yes, you're at risk. But 99% of clients aren't like that. They want the results AI brings, but they don't want to build or manage it themselves. Hence, those who adopt AI to streamline delivery and elevate their positioning—not those who ignore it or just dabble, will win. AI Isn't a Threat. It's Your Edge AI is already making agencies faster, leaner, and more profitable if they leverage it correctly: Custom GPTs for marketing, sales training, and operations Automated research and lead qualification Speeding up delivery while maintaining quality Tim shared an example of a San Francisco agency using LLMs to automate internal processes. It wasn't complicated: structured folders, an AI model to search and output organized results. Simple, but powerful. If your agency isn't at least experimenting with AI to remove repetitive manual work, you're falling behind—not because AI will replace you, but because other agencies will outpace you by using AI to do what you do, faster and cheaper. Document Your AI Processes Now (Before It Gets Expensive) AI pricing today is like Uber in the early days: cheap to get you hooked, but it won't last. AI's current affordability is saving agencies the equivalent of multiple salaries annually. Eventually, these tools will increase in price to reflect their true value. What can you do about this? Jason recommends documenting your workflows and data used to train custom GPTs or AI agents now. If pricing spikes or a model goes down, you can pivot to another provider without losing your institutional knowledge. Why Agencies Must Shift from Order-Takers to Advisors Most agencies fail not because they lack skills, but because they act like order-takers. As a clients, it's frustrating for Jason when agencies ask, “What do you want us to do?” instead of showing him what's possible. Remember that as agencies, your purpose is to solve problems for your clients. Clients (dentists, local businesses, even large brands) don't know what's possible with AI. They think it's just a fancy chatbot. If you step up to educate and advise clients on what's possible with AI, you become indispensable. Look to build systems that: Research prospects automatically before calls Automate competitor and market analysis Help clients leverage AI in their workflows Agencies that step into this advisor role, showing clients what's possible and taking accountability for delivering results, become irreplaceable. You're not just executing tasks; you're creating outcomes they can't create alone, and that's where real value lies. Don't Be Another “Nomad Agency.” Be the Real Deal Too many people who failed at running agencies pivot into teaching how to run an agency while living the “digital nomad” lifestyle, without having actually built sustainable businesses. This creates noise and mistrust in the marketplace, making it harder for real agencies to stand out. Most of the time, agency owners are accidental entrepreneurs—people who mastered a skill and were asked to help, not those who started for the lifestyle. If you're listening to this, you're likely the latter. To stand out, you need to showcase not just what you can do but what you've actually done. Your wins, client results, and case studies speak louder than lifestyle photos on Instagram. The Power of Specific, Documented Proof If you want to stand out from the fly-by-night agencies, talk specifics. Others mostly speak in generalities. Instead, credible agencies share specifics. If you can clearly articulate, “Here's the exact problem we solved for a client just like you,” then you instantly separate yourself from the pack. Tools like Clutch help because they use AI to pull themes from your reviews to match buyer intent, but your agency still needs to collect, showcase, and share detailed case studies and client stories. Documentation matters. If you're working with SMBs or mid-market clients, they want to see clear, verified results before investing. When you can present proof, it's hard for low-quality competitors to compete, no matter how flashy their pitch decks look. Start gathering your “receipts” now to future-proof your positioning. Verification Adds Trust in a Crowded Marketplace Tim's company Clutch now offers Clutch Verified as an additional trust layer. They don't just take your word for it; they check your business registration, credit history, and operating longevity to separate real agencies from “gaming-the-system” players. It's a powerful way to signal to potential clients, “We're credible, stable, and vetted.” For clients, it's a good indicator of who you'll be working with and for agencies it becomes a sales asset. When potential clients research you on Clutch, verified agencies are prioritized, giving you an edge over competitors. It's a practical, low-cost step to build trust and signal legitimacy, especially if you're competing for premium clients. Do You Want to Transform Your Agency from a Liability to an Asset? Looking to dig deeper into your agency's potential? Check out our Agency Blueprint. Designed for agency owners like you, our Agency Blueprint helps you uncover growth opportunities, tackle obstacles, and craft a customized blueprint for your agency's success.

Bret Taylor's legendary career includes being CTO of Meta, co-CEO of Salesforce, chairman of the board at OpenAI (yes, during that drama), co-creating both Google Maps and the Like button, and founding three companies. Today he's the founder and CEO of Sierra, an AI agent company transforming customer service. He's one of the few people I've met who's been wildly successful at every level—from engineer to C-suite executive to founder—and across almost every discipline, including PM, engineer, CTO, COO, CPO, CEO, and board member.In this conversation, you'll learn:1. The brutal product review that nearly ended his Google career—and how that failure led to creating Google Maps2. The question Sheryl Sandberg taught him to ask every morning (“What's the most impactful thing I can do today?”) that transformed how he approached every role3. The three AI market segments that matter4. Why AI agents will replace SaaS products5. His framework for knowing whose advice to actually listen to—and how that came in handy during the OpenAI board drama6. The counterintuitive go-to-market strategy most AI startups get wrong7. Sierra's outcome-based pricing model that's transforming how enterprise software is sold (and why every SaaS company should adopt it)8. What he's teaching his kids about AI that every parent should know—Brought to you by:CodeRabbit—Cut code review time and bugs in half. Instantly: https://coderabbit.link/lennyBasecamp—The famously straightforward project management system from 37signals: https://www.basecamp.com/lennyVanta—Automate compliance. Simplify security: https://vanta.com/lenny—Where to find Bret Taylor:• X: https://x.com/btaylor• LinkedIn: https://www.linkedin.com/in/brettaylor/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Bret Taylor(04:10) Bret's early career and first major mistake(08:24) The birth of Google Maps(11:57) Lessons from FriendFeed and the importance of honest feedback(31:30) The future of coding and AI's role(45:26) Preparing the next generation for an AI-driven world(48:46) AI in education(52:05) Business strategies in the AI market(01:04:38) Outcome-based pricing in AI(01:09:15) Productivity gains and AI(01:17:35) Go-to-market strategies for AI products(01:21:49) Lightning round and final thoughts—Referenced:• Marissa Mayer on LinkedIn: https://www.linkedin.com/in/marissamayer/• “Lazy Sunday”—SNL: https://www.youtube.com/watch?v=sRhTeaa_B98• Quip: https://quip.com/• Sierra: https://sierra.ai/• FriendFeed: https://en.wikipedia.org/wiki/FriendFeed• Sheryl Sandberg on LinkedIn: https://www.linkedin.com/in/sheryl-sandberg-5126652/• Jim Norris on LinkedIn: https://www.linkedin.com/in/halfspin/• Paul Buchheit on X: https://x.com/paultoo• Sanjeev Singh on LinkedIn: https://www.linkedin.com/in/sanjeev-singh-20a1b72/• Barack Obama: https://www.obamalibrary.gov/obamas/president-barack-obama• Oprah Winfrey: https://en.wikipedia.org/wiki/Oprah_Winfrey• Ashton Kutcher: https://en.wikipedia.org/wiki/Ashton_Kutcher• PayPal Mafia: https://en.wikipedia.org/wiki/PayPal_Mafia• Sam Altman on X: https://x.com/sama• Warren Buffett on X: https://x.com/warrenbuffett• Unix: https://en.wikipedia.org/wiki/Unix• Fortran: https://en.wikipedia.org/wiki/Fortran• C: https://en.wikipedia.org/wiki/C_(programming_language)• Python: https://www.python.org/• Perl: https://www.perl.org/• Rust: https://www.rust-lang.org/• Eleven Labs: https://elevenlabs.io/• The exact AI playbook (using MCPs, custom GPTs, Granola) that saved ElevenLabs $100k+ and helps them ship daily | Luke Harries (Head of Growth): https://www.lennysnewsletter.com/p/the-ai-marketing-stack• Confluent: https://www.confluent.io/• Databricks: https://www.databricks.com/• Snowflake: https://www.snowflake.com• Harvey: https://www.harvey.ai/• Behind the founder: Marc Benioff: https://www.lennysnewsletter.com/p/behind-the-founder-marc-benioff• Larry Summers's website: https://larrysummers.com/• AutoCAD: https://www.autodesk.com/products/autocad/overview• Revit: https://www.autodesk.com/products/revit/• The art and science of pricing | Madhavan Ramanujam (Monetizing Innovation, Simon-Kucher): https://www.amazon.com/Monetizing-Innovation-Companies-Design-Product/dp/1119240867• Pricing your AI product: Lessons from 400+ companies and 50 unicorns | Madhavan Ramanujam: https://lenny.substack.com/p/pricing-and-scaling-your-ai-product-madhavan-ramanujam• Cursor: https://cursor.com/• CodeX: https://openai.com/codex/• Claude Code: https://www.anthropic.com/claude-code• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• DirecTV: https://www.directv.com/• SiriusXM: https://www.siriusxm.com/• Wayfair: https://www.wayfair.com/• Akai: https://www.akaipro.com/• Chubbies Shorts: https://www.chubbiesshorts.com/• Weight Watchers: https://www.weightwatchers.com/• CLEAR: https://www.clearme.com/• Stripe: https://stripe.com/• Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead): https://www.lennysnewsletter.com/p/building-product-at-stripe-jeff-weinstein• Twilio: https://www.twilio.com/• ServiceNow: https://www.servicenow.com/• Adobe: https://www.adobe.com/• Jobs to be done: https://jobs-to-be-done.com/jobs-to-be-done-a-framework-for-customer-needs-c883cbf61c90• The ultimate guide to JTBD | Bob Moesta (co-creator of the framework): https://www.lennysnewsletter.com/p/the-ultimate-guide-to-jtbd-bob-moesta• Inception: https://www.imdb.com/title/tt1375666/• Alan Kay's quote: https://www.brainyquote.com/quotes/alan_kay_100831• Jobs at Sierra: https://sierra.ai/careers—Recommended books:• Monetizing Innovation: How Smart Companies Design the Product Around the Price: https://www.amazon.com/Monetizing-Innovation-Companies-Design-Product/dp/1119240867• Competing Against Luck: The Story of Innovation and Customer Choice: https://www.amazon.com/Competing-Against-Luck-Innovation-Customer/dp/0062435612• Endurance: Shackleton's Incredible Voyage: https://www.amazon.com/Endurance-Shackletons-Incredible-Alfred-Lansing/dp/0465062881—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Ep. 140: AI in Home Inspections, Part 2 Guest: Chris Skinner, Silk Inspections (Fayetteville, NC) Let's get nerdy! In Part 2, Chris Skinner shares how he's gone beyond the basics to train custom GPTs, communicate faster with agents, and use AI to unlock serious focus in the field.  We dig into: How to use AI when you're not the owner The real potential of custom GPTs Communication hacks for agents + clients Where AI shines—and where to stay skeptical Whether you're AI-curious or already using ChatGPT daily, this episode gives you real-life inspector insights you can use now.

If you're using ChatGPT or other AI tools but still feel like you're barely scratching the surface, this episode is for you. Morgan DeBaun shares fast, tactical advice to help solopreneurs, small business owners, and creatives actually start using AI smarter—not harder. From audio prompting to smarter context organization, Morgan breaks down simple but powerful strategies to save time, improve your workflow, and stop overthinking how to “use AI the right way.” She also explains why letting AI write your prompts, organizing information into projects, and using tools like Gemini and Otter for meetings can dramatically level up how you work. Whether you're trying to move faster as a one-person team or scale with a lean crew, this episode will help you unlock new possibilities with AI—without needing to be a tech expert. Listen now to make smarter, faster, more confident moves with AI. Timestamps: 00:00 – Intro: Why You're Probably Using AI Wrong 00:46 – Tip 1: Use Audio Prompts Instead of Typing 01:40 – Tip 2: Let ChatGPT Write Your Prompts for You 03:04 – Tip 3: Understand and Apply Context Engineering 04:08 – The Rise of AI Browsers & Why It Matters (Perplexity, Gemini) 06:17 – Tip 4: Organize Info into Projects (vs. GPTs) 08:25 – Tip 5: Automate Meeting Notes with AI Tools  10:49 – Extra Tip: Tell AI to Be an Expert (Not Just Agreeable) 12:13 – Join the WorkSmart Community + Upcoming AI Edge Summit

Michael McCready builds systems that attract cases. His firm is a high-efficiency legal operation trusted by top advertisers and referral partners across the country. With over 30 years in PI law and a remote B2B setup from Puerto Rico, he's engineered a firm that elite advertisers trust with their biggest cases. In this episode, Michael shares how he scaled to 100+ staff, automated 200+ client touchpoints, and uses AI to write better closings in his own voice. You'll learn: Why client service—not ad spend—is Michael's growth engine How SmartAdvocate and custom GPTs drive consistency across six offices What B2B lawyering looks like in an age of consolidation How to maintain trust and transparency with high-volume referral partners  PIMCON 2025 Tickets On Sale Now. Get yours today! Get Social! Personal Injury Mastermind (PIM) is on Instagram | YouTube | TikTok