Podcasts about gpts

#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

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..

Curso de 2 h 30 min orientado a opositores de Educación y docentes que quieren ahorrar tiempo al preparar programación, situaciones de aprendizaje, materiales y evaluaciones LOMLOE. Aprenderás las bases de ChatGPT, a diseñar prompts robustos (sin caer en errores típicos) y a dominar las herramientas clave para el aula y la oposición: internet, documentos, voz, lienzo/canvas, imágenes, investigación y creación de GPTs personalizados. Suscripción al canal de Jaime: https://www.youtube.com/@jaimeprofe_ia Recursos del vídeo 1. 10 Hacks para usar ChatGPT (doc): https://drive.google.com/drive/folders/1oEDkWSk5-gVuvE5-h7dxLs7lxNlVQh8W?usp=sharing 2. ✨ GPT que crea GPTs (guía): https://drive.google.com/drive/folders/1dIw8hn2wzDcZKsEAwCWKxpk0JjApO-V2?usp=sharing ¿Para quién es? • Opositores de Educación que buscan acelerar la preparación (programación, rúbricas, criterios, evidencias). • Docentes en activo que quieren mejorar flujo de trabajo y calidad de materiales con IA. Objetivos del curso 1. Obtener bases sólidas de ChatGPT aplicadas a la docencia y la oposición. 2. Saber “hablar” a la IA evitando errores comunes (ambigüedad, sesgos, copiado ciego). 3. Aplicar herramientas útiles para el aula/oposición: búsqueda en internet con fuente, trabajo con PDFs y Docs, voz para dictado y feedback, lienzo/canvas para apuntes, generación/edición de imágenes, investigación guiada y GPTs a medida (rúbricas automáticas, generadores de actividades, análisis de estándares).

  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!

Most reps only scratch the surface with ChatGPT.Heather Murray from AI for Non-Techies joined us to dive deep on how to build custom GPTs that actually think and write like you.We walked through how to train AI on your tone, structure, and thought process to create a true sales co-pilot.Walk away with use cases like a Follow-Up GPT or Cold Call GPT, and step-by-step guidance on building your own.You'll Learn:Why custom GPTs are a massive advantage for sellersTop tips on building your own GPTLive walk through on how to build your custom GPTThe Speakers: Jed Mahrle and Heather MurrayIf you want to catch The Daily Sales Show live, join hereFollow Sell Better to get the latest actionable tactics from sales pros at the top of their gameExplore our YouTube ChannelLooking to up your sales skills?Sales Training for YOU: Use code SELLBETTER to save $200 off your yearly membershipSales Training for your TEAM

  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

In this episode of The Association Insights Podcast, we kick off our August series on artificial intelligence with a powerful real-world example of how small-staff associations can lead with strategy, innovation—and confidence.Host Meghan Henning sits down with Cathy Lada, D.Sc., CAE, Chief Marketing & Membership Officer at the American Alliance of Orthopaedic Executives (AAOE), to explore how her team is thoughtfully integrating AI to enhance member experience, streamline operations, and unlock time-saving value across the organization.

Summer Series - Conscious Creation in the Age of AI (Final Episode)Host: Vickie DicksonGuest: Chelsea Brady, Creative Wayfinder & Brand StrategistIn this final episode of Conscious Creation in the Age of AI, Vickie Dickson sits down with creative powerhouse Chelsea Brady—a 5/1 Emotional Manifesting Generator and multi-passionate artist for a deeply human, radically honest conversation about using AI as a tool for amplification, not replacement.From personal health hacks and verbal processing to building custom GPTs for brand voice and writing poetic, soul-stirring content, Chelsea shares how she's woven AI into nearly every part of her business—and how not to lose your voice in the process. Together, Vickie and Chelsea explore the often-ignored cost of outsourcing your creativity, the quiet power of curiosity, and why the real magic happens when you start from your lived experience, not a prompt.If you've been craving an honest, nuanced, heart-forward discussion about how to stay human in a tech-saturated world, this one's for you.In This Episode, You'll Learn:How Chelsea uses AI to reflect and deepen her emotional authority, voice, and creativityHow to build a custom GPT that truly understands your brand's tone and messageWhy marketing created by AI often falls flat—and how to make sure yours doesn'tThe difference between enhancing your creative process and outsourcing your powerReal ways to organize your AI tools for storytelling, brand copy, email marketing, and launchesHow to train ChatGPT to become a thought partner—not just a content machineHow Human Design and the Akashic Records inform Chelsea's work with creatives in transitionWhy artists, coaches, and creatives need to reclaim the integrity of their voice in a sea of sameness “The creative process is for your soul. Why would you give that away?” — Chelsea Brady“If you're not in your marketing copy, why would I trust that you're in your program?” — Vickie Dickson“Start from your stories. Lead with your lived experience. That's the one thing AI can't fake.” — Chelsea BradyYou don't need someone else's GPT. You need to train your own based on your body of work.” — Vickie DicksonConnect with Chelsea Brady:Website: www.therisingcreative.comInstagram (professional): @therisingcreativeInstagram (personal/creative): @iamchelseabellsReady to Train AI to Sound Like You?Come learn how to root your content in your Human Design and develop your unique voice inside Content by Design—Vickie's signature program for entrepreneurs who are tired of templates, burnt out by bro marketing, and ready to say what actually needs to be said.➡️ Learn more and join the next roundLoved This Series?If Conscious Creation in the Age of AI stirred something in you, we'd love if you shared your favourite episode or takeaway. Tag @vickie.dickson on Instagram and let us know: What does conscious creation look like for you in this new age?

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.

Using AI to Advocate for Your Child with Charmaine Thaner of The Collaborative Special Education AgencyIn this powerful and eye-opening conversation, Vickie Dickson welcomes parent advocate and former special education teacher Charmaine Thaner to Unjaded's AI Summer Series on Conscious Creation in the Age of AI. While most of the series has focused on entrepreneurs using AI to grow their businesses, Charmaine brings a refreshing and deeply meaningful perspective—using AI to support parents advocating for their children with disabilities.Charmaine shares how she's built custom GPTs to help parents write clearer emails, analyze IEP meetings, role-play difficult conversations with schools, and even reshape the limiting beliefs of the people parents are dealing with at the schools. With a deep understanding of both the education system and lived experience as a parent of a child with Down syndrome, Charmaine bridges the gap between AI and human centred advocacy—always keeping values, voice, and vision at the forefront.You'll hear about:The difference between summarizing and analyzing AI prompts—and why it mattersHow Charmaine's “Belief Shapeshifter” GPT tool helps shift resistant narratives in school systemsWhy she prioritizes human connection alongside technology in her membership communityTips for entrepreneurs and advocates alike to better prompt, edit, and verify AI-generated contentHer candid thoughts on AI-assisted podcasting—and the surprising audio project she uncovered on her own book!A heartwarming update on her son Dylan and how advocacy made his inclusive education and independence possibleThis episode is a must-listen if you've ever wondered how AI could be used not just to grow a business, but to create lasting social change and support families navigating systems stacked against them.Charmaine's tools and wisdom remind us that AI is only as powerful as the human intention behind it.Resources & Links:The Art of Advocacy by Charmaine ThanerConnect with Charmaine and access her tools: iep.today/charmaineConnect with Vickie:Follow along on Instagram @vickie.dicksonLearn more about Vickie's work at vickiedickson.com

How do you go from zero to $10 million in funded mortgages in your first year—without a database, brand, or past clients? Thom Brow left a successful career in craft beer sales and started fresh as a mortgage broker. One year later, he's built a $10M business from scratch— powered by focused prospecting, referral presentations, and his own custom-built AI tools. If you're early in your career or need to get traction fast, Thom's approach will give you a clear roadmap (and a reality check). We'll cover: Turning Cold into Closed – How 50 referral presentations led to 25 active partners and $10M in volume. Winning with Focus – Why Thom breaks his day into quarters—and always protects a dedicated prospecting block. Practicing Like a Pro – The AI “driving range” that helped him conquer cold calling. Scaling Smart – Why action beats perfection, and busy work always comes last. Building Better Tools – How Thom created his own GPTs to write emails, sharpen messaging, and train for live calls. To connect with Thom, check out the links below: Instagram Facebook https://www.brxmortgage.com/agent/thom-brow   Follow me on Instagram: www.instagram.com/scottpeckford/ I Love Mortgage Brokering: www.ilovemortgagebrokering.com Find out more about BRX Mortgage: www.whybrx.com Subscribe to my 3-2-1 Thursday Email I Love Mortgage Brokering is in partnership with Ownwell.  To see how top brokers are keeping clients engaged and generating leads from their database, visit ownwell.ca/scott.

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.

In this episode of the FutureCraft GTM Podcast, hosts Ken Roden and Erin Mills reunite with returning favorite Liza Adams to discuss the current state of AI adoption in marketing teams. Liza shares insights on why organizations are still struggling with the same human change management challenges from a year ago, despite significant advances in AI technology. The conversation covers practical frameworks for AI implementation, the power of digital twins, and Liza's approach to building hybrid human-AI marketing teams. The episode features Liza's live demonstration in our new Gladiator segment, where she transforms a dense marketing report into an interactive Jeopardy game using Claude Artifacts. Unpacking AI's Human Challenge Liza returns with a reality check: while AI tools have dramatically improved, the fundamental challenge remains human adoption and change management. She reveals how one marketing team successfully built a 45-person organization with 25 humans and 20 AI teammates, starting with simple custom GPTs and evolving into sophisticated cross-functional workflows. The Digital Twin Strategy: Liza demonstrates how creating AI versions of yourself and key executives can improve preparation, challenge thinking, and overcome unconscious bias while providing a safe learning environment for teams. The 80% Rule for Practical Implementation: Why "good enough" AI outputs that achieve 80-85% accuracy can transform productivity when combined with human oversight, as demonstrated by real-world examples like translation and localization workflows. Prompt Strategy Over Prompt Engineering: Liza explains why following prompt frameworks isn't enough—you need strategic thinking about what questions to ask and how to challenge AI outputs for better results. 00:00 Introduction and Balance Quote 00:22 Welcome Back to FutureCraft 01:28 Introducing Liza Adams 03:58 The Unchanged AI Adoption Challenge 06:30 Building Teams of 45 (25 Humans, 20 AI) 09:06 Digital Twin Framework and Implementation 17:34 The 80% Rule and Real ROI Examples 25:31 Prompt Strategy vs Prompt Engineering 26:02 Measuring AI Impact and ROI 28:21 Handling Hallucinations and Quality Control 32:50 Gladiator Segment: Live Jeopardy Game Creation 40:00 The Future of Marketing Jobs 47:49 Why Balance Beats EQ as the Critical Skill 51:09 Rapid Fire Questions and Wrap-Up Edited Transcript: Introduction: The Balance Between AI and Human Skills As AI democratizes IQ, EQ becomes increasingly important. Critical thinking and empathy are important, but I believe as marketers, balance is actually more important. Host Updates: Leveraging AI Workflows Ken Roden shares his approach to building better AI prompts by having full conversations with ChatGPT, exporting them to Word documents, then using that content to create more comprehensive prompts. This method resulted in more thorough market analysis with fewer edits required. Erin Mills discusses implementing agentic workflows using n8n to connect different APIs and build systems where AI tools communicate with each other. The key insight: break workflows down into steps rather than having one agent handle multiple complex tasks. Guest Introduction: Liza Adams on AI Adoption Challenges Liza Adams, the AI MarketBlazer, returns to discuss the current state of AI adoption in marketing teams. Despite significant technological advances, organizations still struggle with the same human change management challenges from a year ago. The Core Problem: Change Management Over Technology The main issue isn't about AI tools or innovation - teams can't simply be given ChatGPT, Claude, Gemini, and Perplexity and be expected to maximize their potential. Marketing teams are being handed tools while leaders expect employees to figure out implementation themselves. People need to see themselves in AI use cases that apply to their specific jobs. Joint learning sessions where teams share what works and what doesn't are essential. The focus has over-pivoted to "what's the right tool" when it should be on helping people understand, leverage, and make real impact with AI. The AI Adoption Plateau Many organizations face an AI adoption plateau where early adopters have already implemented AI, but a large group struggles with implementation. Companies attempting to "go fully agentic" or completely redo workflows in AI are taking on too much at once. Success Story: The 45-Person Hybrid Team Liza shares a case study of a marketing team with 45 members: 25 humans and 20 AI teammates that humans built, trained, and now manage. They started with simple custom GPTs, beginning with digital twins. Digital Twin Strategy for AI Implementation Digital twins are custom GPTs trained on frameworks, thinking patterns, publicly available content, and personality assessments like Myers-Briggs. These aren't designed to mimic humans but to learn about them and find blind spots, challenge thinking patterns, and overcome unconscious bias. For executive preparation, team members use digital twins of leadership to anticipate questions, identify gaps in presentations, and prepare responses before important meetings. The progression: Simple digital twins → Function-specific GPTs (pitch deck builders, content ideators, campaign analyzers) → Chained workflows across multiple departments (marketing, sales, customer success). Prompt Strategy vs. Prompt Engineering Following prompt frameworks (GRACE: Goals, Role, Action, Context, Examples) isn't enough if the underlying thinking is basic. AI magnifies existing thinking quality - good or bad. Example: Instead of asking "How do I reduce churn?" ask "Can you challenge my assumption that this is a churn problem? Could this data indicate an upsell opportunity instead?" This transforms churn problems into potential revenue opportunities through different strategic thinking. The 80% Rule for Practical AI Implementation AI outputs achieving 80-85% accuracy can transform productivity when combined with human oversight. Example: A team reduced translation and localization costs from tens of thousands of dollars monthly to $20/month using custom GPTs for eight languages, with human review for the final 15-20%. Measuring AI ROI: Three Strategic Approaches Align with Strategic Initiatives: Connect AI projects to existing company strategic initiatives that already have budgets, resources, and executive attention. Focus on Biggest Pain Points: Target areas where teams will invest resources to solve problems - excessive agency costs, overworked teams, or poor quality processes. Leverage Trailblazers: Identify curious team members already building AI solutions and scale their successful implementations. Handling AI Hallucinations and Quality Control AI models hallucinate 30-80% of the time when used as question-and-answer machines for factual queries. Hallucinations are less common with strategic questions, scenario analysis, and brainstorming. Prevention strategies: Limit conversation length and dataset size to avoid context window limitations Use multiple AI models to cross-check outputs Implement confidence checking: Ask AI to rate confidence levels (low/medium/high), explain assumptions, and identify what additional information would increase confidence Live Demo: Claude Artifacts for Interactive Content Liza demonstrates transforming the 2025 State of Marketing AI report into an interactive Jeopardy game using Claude Artifacts. The process involves uploading a PDF, providing specific prompts for game creation, and generating functional code without technical skills. This "vibe coding" approach allows users to describe desired outcomes and have AI build interactive tools, calculators, dashboards, and training materials. Future of Marketing Jobs and Skills Emerging roles: AI guides, workflow orchestrators, human-AI team managers Disappearing roles: Language editors, basic researchers, repetitive design tasks Transforming roles: Most existing positions adapting to include AI collaboration Critical skill for the future: Balance Innovation with ethics Automation with human touch Personalization with transparency Balance may be more important than emotional intelligence as AI democratizes cognitive capabilities. Key Takeaways The Gladiator segment demonstrates how dense research reports can become engaging, interactive content without engineering resources. Making AI implementation fun helps teams stay balanced and avoid overwhelm. Success comes from starting with tiny AI wins rather than comprehensive strategies, focusing on human change management over tool selection, and building systems that augment rather than replace human creativity. This version removes the conversational back-and-forth while preserving all the searchable content people would look for when researching AI implementation, digital twins, prompt strategy, change management, and practical AI use cases. Stay tuned for more insightful episodes from the FutureCraft podcast, where we continue to explore the evolving intersection of AI and GTM. Take advantage of the full episode for in-depth discussions and much more. ----more---- To listen to the full episode and stay updated on future episodes, visit the FutureCraft GTM website. Disclaimer: This podcast is for informational and entertainment purposes only and should not be considered advice. The views and opinions expressed in this podcast are our own and do not represent those of any company or business we currently work for/with or have worked for/with in the past.

Are you a coach using video to grow your business but struggling to turn those videos into real leads and clients? This episode is your game-changer. Tune in to learn a proven, step-by-step video funnel strategy that's generating consistent inbound leads from just 1–2 videos a month—even in 2025's changing content landscape. You'll discover how to shift from outdated lead magnets to high-converting “micro win offers,” how to spark meaningful conversations with warm leads, and how to turn engagement into booked calls and clients. Whether you're in fitness, health, or coaching, this is a must-listen to create content that actually converts.   “Stop being so damn vanilla. Maybe you have to be more polarizing with your stuff. Maybe, just maybe you have to get better at your skills. Go figure.”   Key Takeaways: Simple Video Funnel = Consistent Leads A well-crafted video funnel using just 1–2 strategic videos a month can consistently generate inbound leads and clients when done correctly. Long-Form Video Is Back Studies from Meta and Google show that long-form content is crucial for conversions, with buyers needing around 7 hours of content across 11 touchpoints and 4 mediums before making a purchase. Magic Money Math Is Essential Knowing your key performance indicators—especially your "magic number" (e.g., how many call offers or conversations you need daily)—helps you stay focused on income-producing actions. Micro Win Offers Outperform Traditional Lead Magnets Instead of outdated PDFs and guides, offer quick, high-value tools (like GPTs, calculators, or checklists) that create tangible results in under 10 minutes to build trust and generate interest. Messaging Must Match the Market If your content isn't getting engagement or leads, the issue is likely your messaging. Speak the right words, in the right way, to the right people to create connection and conversion. Engagement Begins with Strategic Content Conversion content campaigns that include posts with clear hooks and CTAs lead to warm conversations in the DMs, which then turn into booked calls and sales—without needing cold outreach.     Connect with Jason Meland: Email: jason@goliveonlinemastermind.com Website: https://www.growmyvisibility.com/ Instagram: @coachjasonmeland Facebook: Jason Meland - In Demand Coach LinkedIn: Jason Meland

In this episode, Steve Fretzin and Nick Werker discuss:The importance of proper phone handling in law firm intake processesHow customer experience begins with an intentional communication strategyShifting lawyer mindsets around sales and client engagementThe evolving standards of professionalism and wellness in legal practice Key Takeaways:Solo and small law firms often lose clients due to missed calls or lack of call-forwarding plans, which can be easily fixed with tools like rollover call forwarding.Answering services should align intake scripts with law firms' CRM systems and help pre-qualify callers without turning anyone away, allowing for both client conversion and effective referrals.Intake staff should prioritize empathy and rapport over data collection, allowing callers to fully explain their problem before asking for details.Lawyers frequently lose potential clients not due to pricing or competence, but due to a lack of communication and failure to follow up after the initial contact."Don't pressure people, but let them know that you have a solution to their problem and that and why you're the best solution to that problem." —  Nick Werker Unlock the secrets of rainmaking success—join Steve Fretzin and four powerhouse legal experts for Be That Lawyer LIVE on August 27; reserve your spot now at fretzin.com/events. Ready to go from good to GOAT in your legal marketing game? Don't miss PIMCON—where the brightest minds in professional services gather to share what really works. Lock in your spot now: https://www.pimcon.org/ Thank you to our Sponsor!Legalverse Media: https://legalversemedia.com/ Ready to grow your law practice without selling or chasing? Book your free 30-minute strategy session now—let's make this your breakout year: https://fretzin.com/About Nick Werker: Nick is the founding marketer and current marketing leader at Answering Legal. Since 2014, Nick has been working to help lawyers improve the way they communicate with their clients, strengthen legal intake, organize messages, create workflows for CRMs, and spread awareness on all things happening in the legal community.When he's not podcasting, building custom GPTs, or thinking about ways to spread the Answering Legal message, he is a strong proponent of self-improvement. He also loves helping friends and community members find business success using marketing strategies.Connect with Nick Werker:  Website: https://www.answeringlegal.com/Phone: (631) 686-9700Email: nick@answeringlegal.comLinkedIn: https://www.linkedin.com/in/nicholas-werker/ & https://www.linkedin.com/company/answering-legal-inc/Instagram: https://www.instagram.com/answeringlegal/Connect with Steve Fretzin:LinkedIn: Steve FretzinTwitter: @stevefretzinInstagram: @fretzinsteveFacebook: Fretzin, Inc.Website: Fretzin.comEmail: Steve@Fretzin.comBook: Legal Business Development Isn't Rocket Science and more!YouTube: Steve FretzinCall Steve directly at 847-602-6911 Audio production by Turnkey Podcast Productions. You're the expert. Your podcast will prove it. 

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

About The Episode AI is here to stay, and many nonprofits are already embracing it. In this episode, we break down how you can set up your own custom GPT to save time, boost donor engagement, and make your team's life a whole lot easier. Whether you're writing thank-you emails, managing volunteers, or brainstorming fundraising ideas, your nonprofit can benefit from an AI assistant that actually knows your mission. Nonprofit AI Use: The Highlights Get Clear on Your Goals Before you dive into setup, know what you're solving for. Want to write better donor emails? Streamline volunteer comms? Automate FAQs? Clarity upfront makes everything smoother. Feed It the Right Info Your GPT learns from what you give it. Upload samples you love; anything that reflects your tone and programs. This is how it learns to sound like you. Start with Prompt Templates Give your GPT some direction! Write examples like: “Draft a warm thank-you to a new monthly donor that mentions their impact on our youth programs.” These templates are the building blocks. Test Early, Adjust Often Don't expect perfection right away. Run some test prompts, tweak wording, and refine your data. It's a loop: test, tweak, repeat. Plan for Team Use Set boundaries. Train your team on what AI can (and can't) do. 

Ever wish you could duplicate your brain and hand off those repetitive content and marketing tasks to someone (or something!) that thinks just like you? That's exactly what today's guest, Tina Tower of Her Empire Builder, is doing — with Custom GPTs. In this episode, your hosts, Suzi Dafnis and Michelle Falzon chat with Tina as she pulls back the curtain on how she's built dozens of Custom GPTs to streamline her business, speed up content creation, reduce overwhelm, and unlock more freedom and joy in her day. You'll hear real-world examples, surprising tips, and some eye-opening use cases you've probably never thought of. Whether you're Custom GPT curious or already using ChatGPT in your business, this episode will get you thinking differently about what's possible when you train AI to really know you. Listen to This Episode to Hear More About: What a Custom GPT actually is — and how it's different from the ChatGPT you're used to The first GPT Tina ever created and why it's still relevant today How Tina batch-created 60 video scripts in 90 minutes using one GPT (and why it worked so well) The system she uses to keep her GPTs organised and integrated into daily team workflows Why Tina gets her Custom GPTs to talk to each other (e.g. “Wendy the Webinar Creator” chats with “Frank the Facebook Ad Strategist”) The emotional journey of letting AI co-write your launch emails — and why your best work is already in there What Tina does when her GPT outputs something that doesn't feel like her — and how she fine-tunes it The key mindset shift you need to build a “Custom GPT habit” instead of starting from scratch every time The exact structure of Tina's Sales Page Supercharger GPT — and why it's already helping course creators optimise and convert better How to get your team onboard (and past their fears that AI will replace them) The dark side of GPTs nobody's talking about — from rabbit holes to confirmation bias — and how Tina's managing both And so much more… Also Mentioned in This Episode: Apply For Mastermind Ready to scale your business? Explore the HerBusiness Marketing Success Mastermind for expert support and community. Apply Now Join the HerBusiness Network Find out what this is Australia's leading network for women business owners. Join Now Episode 264: The Content CEO Episode 265: Are You Attracting the Right Leads? Episode 266: How to Say the Thing You've Been Afraid to Say Her Empire Builder Custom GPT Sales Page Supercharger Free Download Open AI instructions for creating a Custom GPT Bistalk Marketing Agency

AI business growth is changing everything for solo entrepreneurs like us! In this video, I share exactly how I use AI and automation to save time, stay human, and build a thriving video brand. I'll walk you through GEO (generative engine optimization), custom GPTs, and the tools I use daily—like MindPal and Buffer. If you want to grow your business with AI without losing your personal touch, let's dive in! Use YouTubify Your Business GPT: https://videobrand.link/gpt !Use my Channel Analyzer in the VBA App: https://videobrand.link/analyzer ! ✨ Cringe or Binge: How does your channel rank? Download the VBA app to analyze your channel in 1 simple step. It's free! https://videobrand.link/app

Are you struggling to price your Amazon products right, or tired of following strategies that don't work?In this episode of the Garlic Marketing Show, Chad Rubin, a 4x founder and CEO of Profasee, reveals the truth about Amazon pricing, debunks the ROAS myth, and explains why most sellers leave money on the table.Profasee's AI-powered platform helps brands predict the perfect price for every product, at exactly the right time. Chad shares how to use chaos, AI, and smarter decision-making to drive real profit and why POAS (not ROAS) is the metric sellers should focus on.What You'll Learn:The truth about Amazon pricing — and the biggest mistake sellers makeWhy “just raise your price” is dangerous adviceHow Profasee's AI repricer works (explained simply)How Chad uses AI in his closet, garage, and daily workflowBuilding custom GPTs to stay lean and efficientFacebook ads vs. LinkedIn content: what works nowGaming the algorithm & LinkedIn's AI content problemConnect with Chad Rubin:Website - https://profasee.com/LinkedIn - https://www.linkedin.com/in/itschadrubin/Email Address (Firm) - chat@profasee.comResources:Connect with IanDownload a Tackle Box!Supercharge your marketing and grow your business with video case stories today!Book a Discovery Call Today with Our ExpertsSubscribe to the YouTube Channel Hosted on Acast. See acast.com/privacy for more information.

Danny Silverman is the Founder and Digital Strategy and Growth Consultant at Silverstream Strategic Consulting. As a digital commerce executive, he has over two decades of experience in eCommerce, marketing, and general management consulting. Throughout his career, Danny has scaled a digital commerce agency 10x in three years, led marketing efforts for a global SaaS platform, and navigated Amazon's landscape since 2006. In this episode… Professionals often feel overwhelmed by the pace of innovation, especially when it comes to AI. While many know AI can save time and boost productivity, most still struggle with using it effectively in their daily business or personal workflows. How can you leverage AI tools to enhance creativity, decision-making, and strategic decisions? Digital strategist and eCommerce consultant Danny Silverman uses AI to challenge ideas, simulate expert feedback, and train personalized GPTs. He recommends organizing work by using separate chats, uploading materials to provide context, and clearly defining prompts. Danny also warns against AI hallucination and encourages users to always validate outputs, maintaining that AI should be a collaborator, not a crutch. Join Aaron Conant in this episode of The Digital Deep Dive as he welcomes Danny Silverman, Founder and Digital Strategy and Growth Consultant at Silverstream Strategic Consulting, back to discuss how professionals can maximize AI's potential. Danny explains how to structure prompt interactions, how to build personal assistants, and the future of agentic AI. 

Send us a textWork with Jordan personally at www.ecommerceos.coWork with social commerce club at www.socialcommerceclub.comGet 27 strategies in 27 days at https://socialcommerceclub.com/pages/27-strategiesJoin Tiktok shop elites mastermind at https://www.skool.com/tiktokshopelite/about   Join Jordan West live for an in-depth exploration of the cutting-edge AI innovations reshaping e-commerce in 2025!

The line between AI hype and reality is blurring for Amazon sellers. What's actually working right now, and what still falls short of the promises?We're witnessing dramatic improvements in AI image generation tools over the past 6-12 months. ChatGPT and Gemini can now create compelling product images for certain categories and make sophisticated edits that previously required professional Photoshop skills. Need to change a background, adjust lighting, or swap in different models using your product? AI handles these tasks remarkably well, creating natural shadows and maintaining proper perspective automatically.The most striking revelation? Amazon products with obviously AI-generated images are selling in massive volumes with excellent reviews. While photorealistic perfection might be ideal, consumers are demonstrating that "good enough" AI imagery doesn't hinder purchasing decisions for many product categories.Where AI delivers immediate ROI is rapid A/B testing. You can now create multiple image variations in minutes rather than hours, testing which demographics, backgrounds, or visual elements drive the highest click-through and conversion rates. For brands willing to experiment, these incremental improvements compound into significant sales growth.Custom GPTs represent another breakthrough, with Amazon sellers building specialized AI assistants for listing optimization, keyword research, and content generation. These tools require minimal technical expertise yet dramatically streamline workflows that previously consumed hours of time.Not everything lives up to the hype yet. Fully automated Amazon advertising remains problematic – while AI excels at bid optimization, it often goes "nuts" with keyword harvesting without human oversight. The technology is advancing rapidly, though, with today's "impossible" demonstrations likely becoming standard practice within 3-6 months.Ready to leverage AI for your Amazon business? Start with image testing, explore custom GPTs, and remember that for any business challenge you face, someone has probably already built an AI solution that can help. The future of Amazon selling is arriving faster than most realize – are you prepared?

Thomas Forstner, VP of People and Talent at Juro, joined us on The Modern People Leader. We talked about building an AI-native company, why HR should own workflows not just the workforce, and how people teams must evolve from playbook followers to visionary architects of the modern org.---- Sponsor Links:

Think AI is just another trend? Think again. It's not just changing the way we work—it's reshaping how we communicate, create, and connect. In this episode, I sit down with Jonathan Mast of White Beard Strategies to explore how AI is transforming business and marketing right now. From his early experiments with ChatGPT to building custom GPTs that handle social media and support—Jonathan doesn't just talk tech. He uses it, daily. We dig into what's working (and what's not) across platforms like YouTube, Facebook, and Google—and how new tools like Comet AI and Genspark are quietly shifting the landscape. This isn't about hype. It's about leverage. You'll hear how Jonathan stays human in a world of automation, how he protects his brand voice, and why authenticity matters more than ever in the age of deepfakes and algorithmic content. If you're curious about where AI is headed—and how to actually use it without losing yourself—this conversation is for you.

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

If you're overwhelmed by the thought of using AI in your business, you're not alone. Anyone who's been browsing the internet recently, has definitely encountered AI-driven content... and there are a lot of different tools available. It might feel impossible to figure out what's right for your business. Today's guest is here to clear up the confusion. On this episode of the New Generation Entrepreneur podcast, Jenna Soard joins me to dive deep into how AI can be used effectively in course creation, business, and branding. We explore practical tips on getting started, embedding GPTs in your courses, and utilizing AI for sales and marketing. Listen in and discover Jenna's insights custom GPTs, the revolutionary impact of AI tools like ChatGPT and Midjourney, and how to implement these technologies for faster, more personalized results. If you're ready to leverage AI to enhance your business, this one is for you. See everything Jenna has to offer - https://secretaisociety.com/ And check out her Instagram - https://www.instagram.com/jennasoard/ Get your FREE Thought Reversal with ChatGPT Training here - https://brandonlucero.com/trai Did you enjoy this episode? I'd love it if you'd share it on Instagram and tag me @iambrandonlucero! Thank you for supporting the show.   Find me on: IG: @iambrandonlucero Facebook: https://www.facebook.com/IAmBrandonLucero  Website: https://www.brandonlucero.com 

Drew Hart, your go-to guy for all things Amazon. Drew kicked off his entrepreneurial journey in 2018, launching two private label brands and now providing Full End to End Account Managment Services Agency that handles over 40 brands, Vinculum (VIN-CUE-LUM), which offers a full range of Amazon services, making him a one-stop-shop for Amazon success.Highlight Bullets> Here's a glimpse of what you would learn…. Implementation of AI tools and bots in e-commerce.Use of large language models like ChatGPT for operational efficiency.Challenges faced by e-commerce businesses, particularly Amazon sellers.Strategies for reducing overhead and improving productivity through AI.Development of custom GPTs tailored to specific team roles.Importance of prompt engineering and clear communication with AI.Collaborative approaches to integrating AI into business workflows.Practical applications of AI in marketing, customer service, and logistics.Encouragement for businesses to innovate and experiment with AI tools.Future trends and advancements in AI technology for e-commerce.In this episode of the Ecomm Breakthrough Podcast, host Josh Hadley welcomes back Amazon and e-commerce expert Drew Hart. They explore the transformative potential of AI tools and bots, particularly large language models like ChatGPT, in enhancing operational efficiency and reducing overhead for e-commerce businesses. Drew shares practical strategies for utilizing AI, including creating custom GPTs tailored to specific team roles. The discussion emphasizes the importance of adapting to a rapidly changing landscape marked by rising costs and fees, and how leveraging AI can help businesses remain competitive. Key insights include first principles thinking, chain of thought methods, and practical applications for AI in strategic planning and problem-solving.Here are the 3 action items that Josh identified from this episode:Leverage AI for Strategic Decision-MakingUse ChatGPT and custom AI bots to analyze data, generate insights, and streamline decision-making processes.Implement the "chain of thought" method to refine AI responses and enhance problem-solving within your team.Develop strategy bots that use the Socratic method to guide discussions and improve business strategies.Integrate Automation Tools to Improve EfficiencyExplore AI-powered automation platforms like Make and Integromat to optimize workflows and reduce manual tasks.Use AI tools like Gamma App for document and presentation automation to save time and boost productivity.Invest in custom GPTs tailored to team roles, ensuring they align with your business's long-term efficiency goals.Encourage Continuous Learning and InnovationStay updated on advancements in AI and e-commerce by engaging in hands-on exercises with AI tools.Share AI insights with leadership teams to identify challenges and opportunities for automation.Foster a culture of innovation by learning from client feedback, testing new AI strategies, and continuously iterating on business processes.Resources mentioned in this episode:Here are the mentions with timestamps arranged by topic:Ecomm BreakthroughJosh Hadley on LinkedIneComm Breakthrough YouTubeeComm Breakthrough ConsultingeComm Breakthrough PodcastEmail Josh Hadley: Josh@eCommBreakthrough.comAmazonChatGPTVinculumClickUpYouTubeCustom GPTIntegrate.aiTask AidA-10.aiGamma.appMake (formerly Integromat)ZapierBuy Back Your Time by Dan Martell100 Million Offers by Alex Hormozi100 Million Leads" by Alex HormoziPrompt Engineering / DevelopmentSteve Jobs Principle (10-80-10)Special Mention(s):Adam “Heist” Runquist on LinkedInKevin King on LinkedInMichael E. Gerber on LinkedInRelated Episode(s):“Cracking the Amazon Code: Learn From Adam Heist's Brand Scaling Secrets” on the eComm Breakthrough Podcast“Kevin King's Wick...

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