Podcasts about use ai

Melanie Smith, Head of Sales Development at Nooks, breaks down the exact systems, metrics, and coaching frameworks she uses to run one of the highest-performing SDR teams in outbound. In this episode, she shares KPI structures, call-block strategy, cold-call skill development, and how leaders can scale connect rates, conversation rates, and meeting production without burning out their reps.

You've probably heard it a thousand times: “Use AI or get left behind.” But if you're a course creator, that advice can feel like a trap, because the fastest way to “use AI” is also the fastest way to sound generic and lose your voice. In this episode, I sit down with Dan Cumberland, who helps founder-led brands scale with AI without losing their soul, and honestly, this conversation felt like a giant exhale. We dig into how to use AI in a way that keeps your content human, especially when it comes to marketing (the place most course creators get stuck). Dan shares a simple framework to help AI actually sound like you, plus practical examples of using AI inside your course experience to support students at a higher level, without turning your brand into “AI slop.” Watch the episode: https://youtu.be/inOBNS15RfQ Dan's Website: https://dancumberlandlabs.com/ Watch the Free Workshop: https://www.theonlinecourseguy.com/workshop Sign up for Jacques' Journal: https://www.theonlinecourseguy.com/Apply for Coaching: https://www.theonlinecourseguy.com/coachingFree Kajabi Course and 1 month Trial: http://everyclickkajabi.com/Free Skool Course and 14 day Trial: https://www.skool.com/refer?ref=c725cf8892fe42c8bb37dd7e5ffc2575Instagram: https://www.instagram.com/theonlinecourseguy/Threads: https://www.threads.net/@theonlinecourseguyX: https://twitter.com/onlinecourseguy

*This is a rerun of a previously released episode Geoff Woods is the #1 international bestselling author of The AI-Driven Leader: Harnessing AI to Make Faster Decisions and the founder of AI Leadership and the AI Driven Leadership Collective. As a former Chief Growth Officer of a global company, Geoff brings real-world expertise in using AI to transform how leaders think and make decisions. In this episode, he reveals how AI can serve as a powerful thought partner—enhancing strategic focus, overcoming operational overwhelm, and unlocking breakthrough solutions using his CRIT framework. Tune in to learn how the most effective leaders are leveraging AI to stay ahead in a rapidly evolving business landscape. Today we discussed: 00:00 Start 01:10 Introducing Geoff Woods 01:23 How AI Enhances Leaders Strategic Thinking 03:13 AI as a Thought Partner 04:50 How AI Can Help with Operation Tasks 06:20 Focusing on the 20% 07:56 The C.R.I.T. Framework 13:10 Addressing the AI Culture Shift 16:20 How is AI Changing Decision Making 17:39 What's AI's Role in Leadership 19:26 How to Start Integrating AI Into Your Leadership Practices This episode is brought to you by Duct Tape Marketing. Free Resource for Business Owners: If you're feeling overwhelmed by marketing, don't miss our CEO Sara Nay's new 30-minute workshop: The Clarity Engine. You'll learn a smarter, more strategic approach and get a worksheet to map out your next steps for 2026. Join the workshop & grab your free worksheet - https://dtm.world/clarity Give yourself the gift of clarity in 2026!  

In Episode 449 of the Immigration Lawyers Toolbox® Podcast, John Q. Khosravi, Esq. welcomes back Gianfranco De Girolamo, Esq. to discuss how AI, automation, and human-centered service are reshaping immigration law practice. They cover AI tools for admin and marketing, data centralization, prompt engineering, social media strategy, live video, and why human connection—not machines—will define successful firms in the years ahead. A must-listen for lawyers building future-ready practices. Spotify | iTunes | YouTube Music | YouTube Learn more about Gianfranco's marketing support service: https://nextlevellawyer.com/ Timestamps: 00:00 – Opening 00:33 – Introduction 02:00 – Will AI Replace Immigration Lawyers? 05:01 – The Right Way to Use AI 06:20 – AI for Managers & Leadership 07:36 – Understanding the Nature of AI 09:00 – Does AI Make You Less Intelligent? 10:44 – AI as a Single Source of Truth (Mistake to Avoid) 12:09 – Implementing AI Agents in Your Business 12:42 – The Master Prompt: How to Guide AI Effectively 13:53 – Mid-Episode Break 14:54 – Using AI for Social Media Scriptwriting 16:10 – How AI Multiplies Creativity 17:11 – How Social Media Algorithms Are Changing 18:34 – Why Going Live Still Matters 21:39 – The Impact & Advantages of Going Live 26:48 – AI's Global Impact: A World Wide Open 28:05 – Outro 28:18 – Final Closing Live Consular Processing training for lawyers Dec 18, 10:00–11:45 a.m. PT - NVC packets & DS-260 - Interview prep & follow-up - Timelines, fees, and real-world workflows Register here! Follow eimmigration by Cerenade: Facebook | Instagram | LinkedIn Start your Business Immigration Practice! (US LAWYERS ONLY - SCREENING REQUIRED): E-2 Course EB-1A Course Get the Toolbox Magazine!  Join our community (Lawyers Only) Get Started in Immigration Law! The Marriage/Family-Based Green Card course is for you Our Website: ImmigrationLawyersToolbox.com Not legal advice. Consult with an Attorney. Attorney Advertisement. #podcaster #Lawyer #ImmigrationLawyer #Interview #Immigration #ImmigrationAttorney #USImmigration #ImmigrationLaw #ImmigrationLawyersToolbox

Why Customer Success Can't Be Automated (And What AI Can Actually Do) In this special year-end episode of the FutureCraft GTM Podcast, hosts Ken Roden and Erin Mills sit down with Amanda Berger, Chief Customer Officer at Employ, to tackle the biggest question facing CS leaders in December 2026: What can AI actually do in customer success, and where do humans remain irreplaceable? Amanda brings 20+ years at the intersection of data and human decision-making—from AI-powered e-commerce personalization at Rich Relevance, to human-led security at HackerOne, to now implementing AI companions for recruiters. Her journey is a masterclass in understanding where the machine ends and the human begins. This conversation delivers hard truths about metrics, change management, and the future of CS roles—plus Amanda's controversial take that "if you don't use AI, AI will take your job." Unpacking the Human vs. Machine Balance in Customer Success Amanda returns with a reality check: AI doesn't understand business outcomes or motivation—humans do. She reveals how her career evolved from philosophy major studying "man versus machine" to implementing AI across radically different contexts (e-commerce, security, recruiting), giving her unique pattern recognition about what AI can genuinely do versus where it consistently fails. The Lagging Indicator Problem: Why NRR, churn, and NPS tell you what already happened (6 months ago) instead of what you can influence. Amanda makes the case for verified outcomes, leading indicators, and real-time CSAT at decision points. The 70% Rule for CS in Sales: Why most churn starts during implementation, not at renewal—and exactly when to bring CS into the deal to prevent it (technical win stage/vendor of choice). Segmentation ≠ Personalization: The jumpsuit story that proves AI is still just sophisticated bucketing, even with all the advances in 2026. True personalization requires understanding context, motivation, and individual goals. The Delegation Framework: Don't ask "what can AI do?" Ask "what parts of my job do I hate?" Delegate the tedious (formatting reports, repetitive emails, data analysis) so humans can focus on what makes them irreplaceable. Timestamps 00:00 - Introduction and AI Updates from Ken & Erin 01:28 - Welcoming Amanda Berger: From Philosophy to Customer Success 03:58 - The Man vs. Machine Question: Where AI Ends and Humans Begin 06:30 - The Jumpsuit Story: Why AI Personalization Is Still Segmentation 09:06 - Why NRR Is a Lagging Indicator (And What to Measure Instead) 12:20 - CSAT as the Most Underrated CS Metric 17:34 - The $4M Vulnerability: House Security Analogy for Attribution 21:15 - Bringing CS Into Sales at 70% Probability (The Non-Negotiable) 25:31 - Getting Customers to Actually Tell You Their Goals 28:21 - AI Companions at Employ: The Recruiting Reality Check 32:50 - The Delegation Mindset: What Parts of Your Job Do You Hate? 36:40 - Making the Case for Humans in an AI-First World 40:15 - The Framework: When to Use Digital vs. Human Touch 43:10 - The 8-Hour Workflow Reduced to 30 Minutes (Real ROI Examples) 45:30 - By 2027: The Hardest CX Role to Hire 47:49 - Lightning Round: Summarization, Implementation, Data Themes 51:09 - Wrap-Up and Key Takeaways Edited Transcript Introduction: Where Does the Machine End and Where Does the Human Begin? Erin Mills: Your career reads like a roadmap of enterprise AI evolution—from AI-powered e-commerce personalization at Rich Relevance, to human-powered collective intelligence at HackerOne, and now augmented recruiting at Employ. This doesn't feel random—it feels intentional. How has this journey shaped your philosophy on where AI belongs in customer experience? Amanda Berger: It goes back even further than that. I started my career in the late '90s in what was first called decision support, then business intelligence. All of this is really just data and how data helps humans make decisions. What's evolved through my career is how quickly we can access data and how spoon-fed those decisions are. Back then, you had to drill around looking for a needle in a haystack. Now, does that needle just pop out at you so you can make decisions based on it? I got bit by the data bug early on, realizing that information is abundant—and it becomes more abundant as the years go on. The way we access that information is the difference between making good business decisions and poor business decisions. In customer success, you realize it's really just about humans helping humans be successful. That convergence of "where's the data, where's the human" has been central to my career. The Jumpsuit Story: Why AI Personalization Is Still Just Segmentation Ken Roden: Back in 2019, you talked about being excited for AI to become truly personal—not segment-based. Flash forward to December 2026. How close are we to actual personalization? Amanda Berger: I don't think we're that close. I'll give you an example. A friend suggested I ask ChatGPT whether I should buy a jumpsuit. So I sent ChatGPT a picture and my measurements. I'm 5'2". ChatGPT's answer? "If you buy it, you should have it tailored." That's segmentation, not personalization. "You're short, so here's an answer for short people." Back in 2019, I was working on e-commerce personalization. If you searched for "black sweater" and I searched for "black sweater," we'd get different results—men's vs. women's. We called it personalization, but it was really segmentation. Fast forward to now. We have exponentially more data and better models, but we're still segmenting and calling it personalization. AI makes segmentation faster and more accessible, but it's still segmentation. Erin Mills: But did you get the jumpsuit? Amanda Berger: (laughs) No, I did not get the jumpsuit. But maybe I will. The Philosophy Degree That Predicted the Future Erin Mills: You started as a philosophy major taking "man versus machine" courses. What would your college self say? And did philosophy prepare you in ways a business degree wouldn't have? Amanda Berger: I actually love my philosophy degree because it really taught me to critically think about issues like this. I don't think I would have known back then that I was thinking about "where does the machine end and where does the human begin"—and that this was going to have so many applicable decision points throughout my career. What you're really learning in philosophy is logical thought process. If this happens, then this. And that's fundamentally the foundation for AI. "If you're short, you should get your outfit tailored." "If you have a customer with predictive churn indicators, you should contact that customer." It's enabling that logical thinking at scale. The Metrics That Actually Matter: Leading vs. Lagging Indicators Erin Mills: You've called NRR, churn rate, and NPS "lagging indicators." That's going to ruffle boardroom feathers. Make the case—what's broken, and what should we replace it with? Amanda Berger: By the time a customer churns or tells you they're gonna churn, it's too late. The best thing you can do is offer them a crazy discount. And when you're doing that, you've already kind of lost. What CS teams really need to be focused on is delivering value. If you deliver value—we all have so many competing things to do—if a SaaS tool is delivering value, you're probably not going to question it. If there's a question about value, then you start introducing lower price or competitors. And especially in enterprise, customers decide way, way before they tell you whether they're gonna pull the technology out. You usually miss the signs. So you've gotta look at leading indicators. What are the signs? And they're different everywhere I've gone. I've worked for companies where if there's a lot of engagement with support, that's a sign customers really care and are trying to make the technology work—it's a good sign, churn risk is low. Other companies I've worked at, when customers are heavily engaged with support, they're frustrated and it's not working—churn risk is high. You've got to do the work to figure out what those churn indicators are and how they factor into leading indicators: Are they achieving verified outcomes? Are they healthy? Are there early risk warnings? CSAT: The Most Underrated Metric Ken Roden: You're passionate about customer satisfaction as a score because it's granular and actionable. Can you share a time where CSAT drove a change and produced a measurable business result? Amanda Berger: I spent a lot of my career in security. And that's tough for attribution. In e-commerce, attribution is clear: Person saw recommendations, put them in cart, bought them. In hiring, their time-to-fill is faster—pretty clear. But in security, it's less clear. I love this example: We all live in houses, right? None of our houses got broken into last night. You don't go to work saying, "I had such a good night because my house didn't get broken into." You just expect that. And when your house didn't get broken into, you don't know what to attribute that to. Was it the locked doors? Alarm system? Dog? Safe neighborhood? That's true with security in general. You have to really think through attribution. Getting that feedback is really important. In surveys we've done, we've gotten actionable feedback. Somebody was able to detect a vulnerability, and we later realized it could have been tied to something that would have cost $4 million to settle. That's the kind of feedback you don't get without really digging around for it. And once you get that once, you're able to tie attribution to other things. Bringing CS Into the Sales Cycle: The 70% Rule Erin Mills: You're a religious believer in bringing CS into the sales cycle. When exactly do you insert CS, and how do you build trust without killing velocity? Amanda Berger: With bigger customers, I like to bring in somebody from CX when the deal is at the technical win stage or 70% probability—vendor of choice stage. Usually it's for one of two reasons: One: If CX is gonna have to scope and deliver, I really like CX to be involved. You should always be part of deciding what you're gonna be accountable to deliver. And I think so much churn actually starts to happen when an implementation goes south before anyone even gets off the ground. Two: In this world of technology, what really differentiates an experience is humans. A lot of our technology is kind of the same. Competitive differentiation is narrower and narrower. But the approach to the humans and the partnership—that really matters. And that can make the difference during a sales cycle. Sometimes I have to convince the sales team this is true. But typically, once I'm able to do that, they want it. Because it does make a big difference. Technology makes us successful, but humans do too. That's part of that balance between what's the machine and what is the human. The Art of Getting Customers to Articulate Their Goals Ken Roden: One challenge CS teams face is getting customers to articulate their goals. Do customers naturally say what they're looking to achieve, or do you have a process to pull it out? Amanda Berger: One challenge is that what a recruiter's goal is might be really different than what the CFO's goal is. Whose outcome is it? One reason you want to get involved during the sales cycle is because customers tell you what they're looking for then. It's very clear. And nothing frustrates a company more than "I told you that, and now you're asking me again? Why don't you just ask the person selling?" That's infuriating. Now, you always have legacy customers where a new CSM comes in and has to figure it out. Sometimes the person you're asking just wants to do their job more efficiently and can't necessarily tie it back to the bigger picture. That's where the art of triangulation and relationships comes in—asking leading discovery questions to understand: What is the business impact really? But if you can't do that as a CS leader, you probably won't be successful and won't retain customers for the long term. AI as Companion, Not Replacement: The Employ Philosophy Erin Mills: At Employ, you're implementing AI companions for recruiters. How do you think about when humans are irreplaceable versus when AI should step in? Amanda Berger: This is controversial because we're talking about hiring, and hiring is so close to people's hearts. That's why we really think about companions. I earnestly hope there's never a world where AI takes over hiring—that's scary. But AI can help companies and recruiters be more efficient. Job seekers are using AI. Recruiters tell me they're getting 200-500% more applicants than before because people are using AI to apply to multiple jobs quickly or modify their resumes. The only way recruiters can keep up is by using AI to sort through that and figure out best fits. So AI is a tool and a friend to that recruiter. But it can't take over the recruiter. The Delegation Framework: What Do You Hate Doing? Ken Roden: How do you position AI as companion rather than threat? Amanda Berger: There's definitely fear. Some is compliance-based—totally justifiable. There's also people worried about AI taking their jobs. I think if you don't use AI, AI is gonna take your job. If you use AI, it's probably not. I've always been a big fan of delegation. In every aspect of my life: If there's something I don't want to do, how can I delegate it? Professionally, I'm not very good at putting together beautiful PowerPoint presentations. I don't want to do it. But AI can do that for me now. Amazingly well. What I'm really bad at is figuring out bullets and formatting. AI does that. So I think about: What are the things I don't want to do? Usually we don't want to do the things we're not very good at or that are tedious. Use AI to do those things so you can focus on the things you're really good at. Maybe what I'm really good at is thinking strategically about engaging customers or articulating a message. I can think about that, but AI can build that PowerPoint. I don't have to think about "does my font match here?" Take the parts of your job that you don't like—sending the same email over and over, formatting things, thinking about icebreaker ideas—leverage AI for that so you can do those things that make you special and make you stand out. The people who can figure that out and leverage it the right way will be incredibly successful. Making the Case to Keep Humans in CS Ken Roden: Leaders face pressure from boards and investors to adopt AI more—potentially leading to roles being cut. How do you make the case for keeping humans as part of customer success? Amanda Berger: AI doesn't understand business outcomes and motivation. It just doesn't. Humans understand that. The key to relationships and outcomes is that understanding. The humanity is really important. At HackerOne, it was basically a human security company. There are millions of hackers who want to identify vulnerabilities before bad actors get to them. There are tons of layers of technology—AI-driven, huge stacks of security technology. And yet no matter what, there's always vulnerabilities that only a human can detect. You want full-stack security solutions—but you have to have that human solution on top of it, or you miss things. That's true with customer success too. There's great tooling that makes it easier to find that needle in the haystack. But once you find it, what do you do? That's where the magic comes in. That's where a human being needs to get involved. Customer success—it is called customer success because it's about success. It's not called customer retention. We do retain through driving success. AI can point out when a customer might not be successful or when there might be an indication of that. But it can't solve that and guide that customer to what they need to be doing to get outcomes that improve their business. What actually makes success is that human element. Without that, we would just be called customer retention. The Framework: When to Use Digital vs. Human Touch Erin Mills: We'd love to get your framework for AI-powered customer experience. How do you make those numbers real for a skeptical CFO? Amanda Berger: It's hard to talk about customer approach without thinking about customer segmentation. It's very different in enterprise versus a scaled model. I've dealt with a lot of scale in my last couple companies. I believe that the things we do to support that long tail—those digital customers—we need to do for all customers. Because while everybody wants human interaction, they don't always want it. Think about: As a person, where do I want to interact digitally with a machine? If it's a bot, I only want to interact with it until it stops giving me good answers. Then I want to say, "Stop, let me talk to an operator." If I can find a document or video that shows me how to do something quickly rather than talking to a human, it's human nature to want to do that. There are obvious limits. If I can change my flight on my phone app, I'm gonna do that rather than stand at a counter. Come back to thinking: As a human, what's the framework for where I need a human to get involved? Second, it's figuring out: How do I predict what's gonna happen with my customers? What are the right ways of looking and saying "this is a risk area"? Creating that framework. Once you've got that down, it's an evolution of combining: Where does the digital interaction start? Where does it stop? What am I looking for that's going to trigger a human interaction? Being able to figure that out and scale that—that's the thing everybody is trying to unlock. The 8-Hour Workflow Reduced to 30 Minutes Erin Mills: You've mentioned turning some workflows from an 8-hour task to 30 minutes. What roles absorbed the time dividend? What were rescoped? Amanda Berger: The roles with a lot of repetition and repetitive writing. AI is incredible when it comes to repetitive writing and templatization. A lot of times that's more in support or managed services functions. And coding—any role where you're coding, compiling code, or checking code. There's so much efficiency AI has already provided. I think less so on the traditional customer success management role. There's definitely efficiencies, but not that dramatic. Where I've seen it be really dramatic is in managed service examples where people are doing repetitive tasks—they have to churn out reports. It's made their jobs so much better. When they provide those services now, they can add so much more value. Rather than thinking about churning out reports, they're able to think about: What's the content in my reports? That's very beneficial for everyone. By 2027: The Hardest CX Role to Hire Erin Mills: Mad Libs time. By 2027, the hardest CX job to hire will be _______ because of _______. Amanda Berger: I think it's like these forward-deployed engineer types of roles. These subject matter experts. One challenge in CS for a while has been: What's the value of my customer success manager? Are they an expert? Or are they revenue-driven? Are they the retention person? There's been an evolution of maybe they need to be the expert. And what does that mean? There'll continue to be evolution on that. And that'll be the hardest role. That standard will be very, very hard. Lightning Round Ken Roden: What's one AI workflow go-to-market teams should try this week? Amanda Berger: Summarization. Put your notes in, get a summary, get the bullets. AI is incredible for that. Ken Roden: What's one role in go-to-market that's underusing AI right now? Amanda Berger: Implementation. Ken Roden: What's a non-obvious AI use case that's already working? Amanda Berger: Data-related. People are still scared to put data in and ask for themes. Putting in data and asking for input on what are the anomalies. Ken Roden: For the go-to-market leader who's not seeing value in AI—what should they start doing differently tomorrow? Amanda Berger: They should start having real conversations about why they're not seeing value. Take a more human-led, empathetic approach to: Why aren't they seeing it? Are they not seeing adoption, or not seeing results? I would guess it's adoption, and then it's drilling into the why. Ken Roden: If you could DM one thing to all go-to-market leaders, what would it be? Amanda Berger: Look at your leading indicators. Don't wait. Understand your customer, be empathetic, try to get results that matter to them. Key Takeaways The Human-AI Balance in Customer Success: AI doesn't understand business outcomes or motivation—humans do. The winning teams use AI to find patterns and predict risk, then deploy humans to understand why it matters and what strategic action to take. The Lagging Indicator Trap: By the time NRR, churn rate, or NPS move, customers decided 6 months ago. Focus on leading indicators you can actually influence: verified outcomes, engagement signals specific to your business, early risk warnings, and real-time CSAT at decision points. The 70% Rule: Bring CS into the sales cycle at the technical win stage (70% probability) for two reasons: (1) CS should scope what they'll be accountable to deliver, and (2) capturing customer goals early prevents the frustrating "I already told your sales rep" moment later. Segmentation ≠ Personalization: AI makes segmentation faster and cheaper, but true personalization requires understanding context, motivation, and individual circumstances. The jumpsuit story proves we're still just sophisticated bucketing, even with 2026's advanced models. The Delegation Framework: Don't ask "what can AI do?" Ask "what parts of my job do I hate?" Delegate the tedious (formatting, repetitive emails, data analysis) so humans can focus on strategy, relationships, and outcomes that only humans can drive. "If You Don't Use AI, AI Will Take Your Job": The people resisting AI out of fear are most at risk. The people using AI to handle drudgery and focusing on what makes them irreplaceable—strategic thinking, relationship-building, understanding nuanced goals—are the future leaders. Customer Success ≠ Customer Retention: The name matters. Your job isn't preventing churn through discounts and extensions. Your job is driving verified business outcomes that make customers want to stay because you're improving their business. Stay Connected To listen to the full episode and stay updated on future episodes, visit the FutureCraft GTM website. Connect with Amanda Berger: Connect with Amanda on LinkedIn Employ 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.

Send us a textThe 12 Days of Christmas series on Clipped continues with another practical tip to help creators work faster without losing their voice. Today is Day 4 of 12, and this episode focuses on using AI as a starting point—not a replacement for your thinking.AI tools are everywhere now, and most creators are already using them in some form. This episode explains how to use AI the right way: for outlines, drafts, research, and idea generation—while still keeping your personality, experience, and point of view front and center.

In this episode, we're joined by Youssef Hounat, product leader, ex-auditor, and (unexpectedly) freestyle-rap-ready builder of tools for accountants. He went from training at Ernst & Young to helping scale DataSnipper into one of the Netherlands' unicorns, and now he's building again as Head of Product at ComplianceWise. We unpack what's actually changing inside product teams: AI stops being a rewrite/search tool and becomes a teammate that takes real work off your plate. Youssef shares how the best teams reduce context switching, turn customer research into a habit, and use agentic workflows + MCPs to connect tools like email, Jira, Figma, and docs without becoming a “fleshy meat puppet” copy-pasting between 10 tabs. Here are some of the key questions we address: Why do 99% of teams still use AI wrong, and what mindset shift fixes it? How do you turn customer research into a continuous habit using transcripts + automated pipelines? What's a real example of AI helping product push back on “build this to close the deal” and finding the true request underneath? How do top teams use MCP + coding agents to move from idea → PRD → Jira tickets without leaving the terminal? What's the difference between a prototype you build to learn vs a product you build to earn — and why vibe-coded output can't go straight to production? How do you avoid reinventing the wheel and start with small weekly automations that compound? What's the real risk behind shadow AI usage  and how do you get IT onside instead of blocked?

Dr. Karen Sutherland is a multi-award winning educator and author from the University of the Sunshine Coast in Australia. As a Certified AI Consultant and Director of Dharana Digital Marketing Agency, Dr. Sutherland specializes in using AI for strategic marketing and communication. In addition to designing and delivering training and workshops globally for over a decade, her research spans AI in strategic communication, B2B relationships, social media pedagogy and practice. She has authored two editions of her book 'Strategic Social Media Management – Theory and Practice' Palgrave Macmillan, downloaded more than 170k times, 'Transmedia Brand Storytelling - Immersive Experiences from Theory to Practice' Palgrave Macmillan, and 'Public Relations and Strategic Communication', Oxford University Press. Her latest book, '⁠Artificial Intelligence for Strategic Communication⁠,' , Palgrave Macmillan, has been adopted across 20+ countries. Dr. Sutherland has featured in global media including  the Wall Street Journal, Euro News AAP, ABC, Nine, Sky News and has been Ticker's AI and social media expert for the past five years. 

Send us a textAre you scaling the wrong thing... successfully?If your 2025 planning feels heavy, misaligned, or nonexistent — it's not because you're lazy. It's because you're still using a corporate operating system for a boutique business. In this episode, Dawn Andrews drops the velvet boot of truth to show you why most female founders sabotage their year-end planning and how AI can help you get radically honest, strategic, and aligned.Download The Feedback Fix — because planning means nothing if your team can't run with the ball. Get the free guide to giving feedback that actually lands and drives accountability. Key TakeawaysStop planning like you have a CFO — Your three-person team doesn't need quarterly OKRs and a content calendar that takes 30 people to execute.AI is your honesty coach — Use it to uncover revenue patterns, energy drains, and strategic misalignment.Only 3 things matter: What made money, did you enjoy it, and did it make a difference?Decisions create constraints — It's not about setting goals, it's about choosing what you'll stop, amplify, and build.Your dream business won't come from a LinkedIn-optimized strategy. It comes from truth, clarity, and alignment.Resources & Links:Freebie: The Feedback FixJoin the Community: AI for Founders Free GroupRelated Episodes:110 | 3 Custom GPTs That Save Female Founders 16 Hours a Week102 | 3 SOPs Every Founder Should Build in 30 Minutes (Using AI)Want to increase revenue and impact? Listen to “She's That Founder” for insights on business strategy and female leadership to scale your business. Each episode offers advice on effective communication, team building, and management. Learn to master routines and systems to boost productivity and prevent burnout. Our delegation tips and business consulting will advance your executive leadership skills and presence.

Most indoor playground and play café owners don't need more ideas going into a new year — they need better execution on the ones they already have.In this episode, I break down exactly how I'm using AI right now to help my indoor playground business owner clients review numbers, tighten systems, and remove the operational friction that quietly drains time and profit.This isn't about trends or tech overwhelm. It's a step-by-step, practical walkthrough of how I recommend using AI as an analyst, operations assistant, and planning tool so you can head into 2026 with clearer priorities, stronger systems, and far less on your plate.BLOG for this episode05:00–11:00 Strategy 1: Revenue analysis to find 2026 opportunities11:00–15:10 Strategy 2: Fix party systems before busy season15:10–17:10 Strategy 3: SOPs that don't depend on the owner17:10–19:00 Strategy 4: Floor-plan-based cleaning and safety19:00–23:10 Strategy 5: Prevent membership churn with AI23:10–25:35 Strategy 6: Pricing and add-on cleanup25:35–27:55 Strategy 7: Customer message scripts and decision trees27:55–29:50 Strategy 8: Policies and incident reporting systems29:50–31:40 Strategy 9: Repurpose marketing content fast31:40–34:15 Strategy 10: Website clarity, conversion, and SEO34:15–38:35 Strategy 11: Partner and sponsor generation for 2026OTHER RESOURCES:Play Cafe Academy & Play Makers SocietyGetting Started With Your Play Cafe [YouTube Video Playlist]What's Working In The Indoor Play Industry 2025 GuideFund Your Indoor Play Business [Free Training]Indoor Play Courses & 1:1 Consulting WaitlistMichele's InstagramMichele's WebsitePlay Cafe Academy YouTube ChannelETSY Template ShopPrepare Your Indoor Playground For a RecessionPlay Cafe Academy & Play Makers SocietyQuestions and Support: Support@michelecaruana.com Play Cafe Academy & Play Makers Society: http://bit.ly/3HES7fDQuestions and Support: Support@michelecaruana.com Simplify and Scale with 50% OFF WellnessLiving: https://discover.wellnessliving.com/playcafeacademyActive Campaign Free Trial: https://www.activecampaign.com/?_r=D6IYK3HG

About Jason Hreha:Jason Hreha is a behavioral scientist and entrepreneur specializing in applying behavioral science to solve business challenges. After studying neuroscience at Stanford and conducting research in BJ Fogg's Persuasive Technology Lab, Jason has spent 15 years developing Behavioral Strategy, a methodical approach for turning research into actionable business solutions. As Global Head of Behavioral Science at Walmart, he established and led the company's first behavioral science team, and he also founded Dopamine and co-founded Kite.io, later acquired by Quixey. As CEO of Persona, Jason transforms talent assessment through research-backed psychometric tools that predict employee performance and fit, and his book Real Change challenges conventional approaches to habits through science-based frameworks. Jason's work has been cited in Atomic Habits and featured in Inc.com, Knowledge at Wharton, and BigThink, and he continues to advise organizations on applying behavioral science for innovation and growth. In this episode, Dean Newlund and Jason Hreha discuss:Understanding how core personality traits drive leadership effectivenessExploring why emotional stability underpins real emotional intelligenceExamining the limits of adult personality change and what that means for teamsRecognizing how interpersonal friction often comes from mismatched stylesConsidering how AI models express measurable personalities that shape user behavior Key Takeaways:Identify your own trait profile using a validated Big Five assessment so you can play the leadership “hand” you actually have instead of chasing traits you do not possess.Reduce conflict by assuming others cannot easily change their styles and instead adapt your expectations so collaboration becomes easier and less personal.Strengthen your culture by clarifying norms, incentives, and strategic consistency so the environment aligns behavior without needing personality change.Use AI tools more effectively by understanding their default personality traits and adjusting your prompts or model choice to complement—not mirror—your own tendencies. "It's hard to be emotionally intelligent if you're angry or upset or annoyed or freaked out.” — Jason Hreha Connect with Jason Hreha:  Website: https://www.personatalent.com/Blog: https://www.thebehavioralscientist.com/Book: https://www.amazon.com/stores/author/B0CVCZ2VR9YouTube: https://www.youtube.com/@thebehavioralscientistLinkedIn: https://www.linkedin.com/in/hreha/ & https://www.linkedin.com/company/personatalent/X (Twitter): https://x.com/jhreha & https://x.com/PersonaTalentFacebook: https://www.facebook.com/choosepersona/Instagram: https://instagram.com/the.behavioral.scientist   See Dean's TedTalk “Why Business Needs Intuition” here: https://www.youtube.com/watch?v=EEq9IYvgV7I Connect with Dean:YouTube: https://www.youtube.com/channel/UCgqRK8GC8jBIFYPmECUCMkwWebsite: https://www.mfileadership.com/The Mission Statement E-Newsletter: https://www.mfileadership.com/blog/LinkedIn: https://www.linkedin.com/in/deannewlund/X (Twitter): https://twitter.com/deannewlundFacebook: https://www.facebook.com/MissionFacilitators/Email: dean.newlund@mfileadership.comPhone: 1-800-926-7370 Audio production by Turnkey Podcast Productions. You're the expert. Your podcast will prove it.

Software is still eating the world, and AI is speeding up the clock. In this episode, Amir talks with Tariq Shaukat, co CEO at Sonar, about what it really takes for non tech companies to build like software companies, without breaking trust, security, or quality. Tariq shares how leaders can treat AI like a serious capability, not a shiny add on, and why clean code, governance, and smart pricing models are becoming board level topics. Key Takeaways• “Every company is a software company” does not mean selling SaaS, it means software is now core to differentiation, even in legacy industries. • The hardest shift is not tools, it is mindset: moving from slow, capital style planning to fast iteration, test, learn, and ship. • AI works best when leaders stay educated and involved, outsourcing the whole strategy is a real risk. • “Trust but verify” needs to be a default posture, especially for code generation, security, and compliance. • Pricing will keep moving toward value aligned consumption models, not simple per seat formulas. Timestamped Highlights• 00:56 What Sonar does, and why clean code is really about security, reliability, and maintainability • 05:36 The Tesla lesson: mechanics commoditize, software becomes the experience people buy • 09:11 Culture plus education: why software capability cannot live in one silo • 14:21 Cutting through AI hype with program discipline and a “trust but verify” mindset • 18:23 Boards, governance, and setting an “acceptable use” policy for AI before something goes wrong • 25:18 How software pricing changes in an AI world, and why Sonar prices by lines of code analyzed A line worth saving:“Define acceptable risk as opposed to no risk.” Pro Tips you can steal• Write down what you want AI to achieve, the steps to get there, and the metric you will use to verify outcomes. • For code generation, scan and review before shipping, treat AI output like a draft, not a final answer.• Set clear rules for what is allowed with AI inside the company, then iterate as you learn. Call to ActionIf you want more conversations like this on software leadership, AI governance, and building real impact, follow The Tech Trek and subscribe on your favorite podcast app. If someone on your team is wrestling with AI rollout or developer productivity, share this episode with them.

UNLOCK THE 13 SYSTEMS EVERY AGENCY OWNER NEEDS TO REACH 8 FIGURES:https://bit.ly/41Sm05NIn this episode, Jordan Ross sits down with Todd Taskey to unpack what really drives the value of a digital marketing agency when it's time to sell. They explore how AI, tech enablement, and recurring revenue models are reshaping business valuations and exit strategies. Todd breaks down the financial levers like EBITDA, buyer types, and strategic acquisitions that can dramatically affect an agency's sale price. Whether you're preparing for a near-term exit or planning long-term growth, this episode offers a roadmap to positioning your agency for maximum value in a rapidly evolving market.ChaptersIntroduction to Business ValuationMarket Trends and Valuation MultiplesThe Impact of AI on Agency ValuationStrategic Acquisitions and Market PositioningRevenue and Retention as Key MetricsNavigating the Future of Agency GrowthThe Role of Strategic BuyersConclusion and ResourcesTo learn more go to 8figureagency.coTo reach out to Todd go to www.towerpartners.comTo listen to Todd go to SecondBitePodcast.com

What does it really mean to build an AI-forward company that is still deeply human-first? In this episode, host Susan Diaz and senior HR leader and mentor culture advocate Helen Patterson talk about jobs, guardrails, copyright, environmental impact, and why mentorship and connection matter more than ever in the age of AI. Episode summary Susan is joined by Helen Patterson, founder of Life Works Well, senior HR leader, and author of the upcoming book Create a Mentor Culture. They start with a Y2K flashback and draw a straight line from past tech panics to today's AI headlines. Helen shares why she sees AI as the latest evolution of technology as an enabler in HR - another way to clear the admin and grunt work so humans can focus on growth, development, and real conversations. From there, they dig into: The tension between "AI will kill jobs" and tens of thousands of new AI policy and governance roles already posted. How shadow AI shows up when organizations put in blanket "no AI" rules and people just reach for their phones anyway. The very real issues around privacy, copyright, and intellectual property when staff feed proprietary material into public models. The less-talked-about environmental impact of AI and why leaders should demand better facts and more intentional choices from tech providers. In the second half, Helen brings the conversation back to humanity: mentorship as a counterweight to disconnection, her One Million Mentor Moments initiative, and how everyday "micro-mentoring" at work can help people adapt to rapid change instead of being left behind. They close with practical examples of using AI for good in real life - from travel planning and research to late-night dog-health triage - without letting it replace judgement. Key takeaways This isn't our first tech panic. From Y2K to applicant tracking systems, HR has always framed tech as an enabler. GenAI is the newest layer, not an alien invasion. Looking back at history helps calm "sky is falling" narratives. Jobs are changing, not simply disappearing. Even as people worry about AI-driven job loss, platforms like Indeed list tens of thousands of AI policy and governance roles. The work is shifting toward AI-forward skills in every function. Blanket "no AI" rules don't work. When organizations ban external tools or insist on only one locked-down platform, people quietly use their own devices and personal stacks anyway - creating shadow AI with real privacy and IP risk. Guardrails and education beat prohibition. Copyright and confidentiality need more than vibes. Without clear guidance, staff will copy proprietary frameworks or documents into public models and re-badge them. Leaders need simple, well-communicated philosophies about what must not go into AI tools. Environmental impact is part of human-first. Training and running large models consumes energy. The real solution will be systemic (how tech is built and powered), but individuals and organizations can still use AI more efficiently, just like learning not to leave all the lights on. Mentorship is the ultimate human technology. Helen's work on Create a Mentor Culture and One Million Mentor Moments reframes mentoring as everyday, one-conversation acts that share wisdom, reduce fear, and help people reskill for an AI-forward world. Tech should support that, not replace it. Upskilling beats layoffs. When roles change because of AI, the most human-first response isn't to cut people loose, it's to invest in learning, mentoring, and redeployment so existing talent can grow into new, AI-augmented roles. Use AI to simplify life, not complicate it. From planning multi-country trips to triaging whether the dog really needs an emergency vet visit, smart everyday use of AI can save time, money, and anxiety - freeing up more space for the work and relationships that actually matter. Episode highlights [00:01] Susan sets the scene: 30 episodes in 30 days to build Swan Dive Backwards in public. [00:39] Helen's intro: Life Works Well, heart-centred high-performance cultures, and her focus on mentorship. [03:43] What an AI-forward and human-centred organisation looks like in practice. [04:00] Y2K memories and why today's AI panic feels familiar. [06:11] 25–35K AI policy jobs on Indeed and what that says about the future of work. [07:49] Jobs lost vs jobs created—and why continuous learning is non-negotiable. [15:19] The danger of "everyone is using AI" with no strategy or safeguards. [19:25] Shadow AI, personal stacks, and why hard bans don't stop experimentation. [21:13] A real-world IP scare: proprietary material pasted into GPT and re-labelled. [23:06] GPT refusing to summarise a book for copyright reasons—and why that's a good sign. [24:03] The case for a simple AI philosophy doc: purpose, principles, and communication. [25:24] Environmental concerns, fact-checking, and the server-room-to-laptop analogy. [30:17] New social media laws for kids and what they signal about tech accountability. [30:41] One Million Mentor Moments: why one conversation can change a career. [31:22] From elite programmes to everyday mentor cultures inside organisations. [35:01] AI for mentoring and coaching: bots, big-name gurus, and internal use cases. [36:30] Using AI for travel planning, research, and everyday life admin. [37:35] Susan's story: using AI to triage a dog-health scare instead of doom-scrolling vet sites. [38:37] Life Works Well's roots in work–life harmony and simplifying with tech. [39:35] Where to find Helen online and what's next for her book. If you're leading a team (or a whole organization), use this episode as a prompt to ask: Where are we treating AI as a tool in service of humanity - and where are we forgetting the human first? Do our people actually know what's OK and not OK to put into AI tools? How could we use mentorship - formal or informal - to help our people navigate this shift instead of fearing it? Connect with Susan Diaz on LinkedIn to get a conversation started.   Agile teams move fast. Grab our 10 AI Deep Research Prompts to see how proven frameworks can unlock clarity in hours, not months. Find the prompt pack here. You can connect with Helen Patterson on LinkedIn and follow her work on Create a Mentor Culture and One Million Mentor Moments via lifeworkswell.ca

Kara Tsuboi covers today's top stories. CNET editors recommend top gifts for a smarter home. Artificial intelligence is shaping the way consumers buy gifts this holiday season. Best tech toys to give your kids.

AI permeates K-12 education, but the rush to adopt new tools often bypasses critical questions about equity, bias, and human connection. On this episode of Trending in Education, host Mike Palmer sits down with Stephanie Smith Budhai and Marie K. Heath, co-authors of the new book Critical AI in K-12 Classrooms: A Practical Guide for Cultivating Justice and Joy. Together, they dismantle the "myth of inevitability" surrounding EdTech and explore how educators can reclaim agency in the face of rapid technological change with AI. From the historical resistance of Sojourner Truth to the concept of the classroom as a "Home Place," the conversation offers a refreshing, techno-skeptical framework that prioritizes student flourishing over big tech's framing. Key Takeaways: Reframing the Narrative: Why "Justice and Joy" must remain central to education, ensuring schools are spaces of affirmation rather than just sites of data extraction. The "Home Place" Concept: How bell hooks' notion of a "Home Place" helps teachers create safe harbors where students can critically interrogate harmful AI outputs and resist standardized bias. Sojourner Truth as Metaphor: A look at how Sojourner Truth co-opted and subverted the cartes de visites photography of her day to fund abolition—and how modern students and educators can similarly "sell the shadow to support the substance". Pedagogies of Resistance: An overview of culturally sustaining, fugitive, and abolitionist pedagogies that equip teachers to challenge oppressive structures within AI and educational technology. The Four Ps of Action: Practical steps for moving forward through Personal, Professional, Pedagogical, and Participatory action. Why You Should Listen: This conversation moves beyond the basic "how-to" of generative AI tools. Instead, it tackles the moral and ethical dimensions of bringing powerful, often biased technologies into the classroom. If you are an educator, administrator, or parent looking for a way to navigate the AI hype with your values intact, this episode provides the historical context and practical strategies needed to foster true digital agency. Like, Share, and Follow wherever you get your podcasts to stay ahead of the curve on the future of learning. Visit us at TrendinginEd.com for more. Time Stamps: [00:00] Intro: Criticality in the Age of AI [01:58] Stephanie's Origin Story: From Nursing to EdTech [04:58] Marie's Origin Story: Reluctant Teacher to Critical Scholar [09:25] Writing the Book: Centering Justice in Tech [11:20] Why Justice and Joy Matter [16:00] Bell Hooks and the Classroom as "Home Place" [20:30] Confronting AI Bias: The "High School Boy" Example [23:00] Sojourner Truth and Co-opting Biased Tech [29:00] The Myth of Inevitability: Do We Have to Use AI? [33:00] Culturally Sustaining, Fugitive, and Abolitionist Pedagogies [41:40] The 4 Ps: Taking Action Towards Just AI [44:00] Conclusion

When dealer principal Joe Shaker of Shaker Auto Group started digging into customer feedback, he uncovered a hard truth: even loyal, satisfied customers still felt uncertainty about what was happening behind the service doors. That insight sparked the creation of TruVideo, now one of the most widely used communication platforms in automotive.In this episode, Joe walks through the journey — the early “aha” moments, the data that changed everything, the role of AI, and how video has redefined transparency in the modern dealership. He and Kaylee break down why doubt persists, how clear communication transforms revenue and retention, and what dealers can do right now to close trust gaps and elevate the customer experience.If you're ready to build real transparency, automate stronger processes, and modernize how your parts and service teams communicate, this episode is your roadmap.--------------------------------------------This show is powered by PartsEdge: Your go-to solution for transforming dealership parts inventory into a powerhouse of profitability. Our strategies are proven to amp up parts sales by a whopping 20%, all while cutting down on idle inventory. If you're looking to optimize your parts management, visit

In this episode, Nathan and Cameron dive deep into one of the most pressing theological questions facing today's church: What happens when worship, sermons, and spiritual formation collide with AI and morally complicated creators? Using provocative thought experiments—like whether Christians would eat fruit from a tree planted by an immoral person—they explore how believers should think about AI-generated worship music, sermons, artistic integrity, and the character of those who shape our spiritual lives. From EDM and emotional engineering to pastoral authenticity, formation, and the “food sacrificed to idols” dilemma, Nathan and Cameron offer rich, intellectually serious Christian commentary on how technology is reshaping worship and the future of the church. Perfect for Christians hungry for deep theology, cultural discernment, and thoughtful engagement with current events.DONATE LINK: https://toltogether.com/donate BOOK A SPEAKER: https://toltogether.com/book-a-speakerJOIN TOL CONNECT: https://toltogether.com/tol-connect TOL Connect is an online forum where TOL listeners can continue the conversation begun on the podcast.

Send us a textJanuary goals fade fast.Let's build a Q1 Game Plan you'll actually execute—with help from AI and one powerful 90-day sprint structure.By February, most goals are already forgotten. Want to be the exception? This episode shows you how to map your Q1 goal to weekly actions in 10 minutes using AI.In Day 12 of 12 Days of AI Quick Wins, Dawn reveals how to use AI to design a Q1 plan that doesn't collect digital dust. With one simple prompt, you'll go from vague intentions to a milestone-driven, week-by-week plan that lives in your calendar—not your imagination. It's how visionary founders actually get things done without burning out or getting stuck in “someday” land.Your Day 12 Action:Pick ONE Q1 goal that would make the next 90 days feel like a win.Run the Q1 planning prompt in today's episode.Map out your January. Add it to your calendar. Then review it every week.Key Takeaways:Set ONE clear Q1 goal. No more wish lists—focus fuels execution.Use the Q1 AI Planning Prompt to turn that goal into milestones, weekly actions, and priority filters.Build from January first. If it's not in your calendar, it's not happening.Tie your Q1 goal to your Weekly CEO Reset (Day 11) for consistent review and momentum.AI helps you plan smarter, faster, and with less decision fatigue.Resources & Links:Register FREE for the Day 13 Live AI Implementation PartyRelated Episodes:Day 1: Stop Overthinking ChatGPT: Free vs. $20—Which One Actually Matters for FoundersDay 2: The 3 AI Prompts Every Female Founder Needs in Her PhoneDay 3: Why ChatGPT Sounds Like a Robot (And the One Sentence That Fixes It)Day 4: AI Email Triage: End Inbox Overwhelm in 5 MinutesDay 5: The 5-Minute Meeting Prep AI Hack That Makes You Look Totally PreparedDay 6: Stop Rewriting Everything AI Writes: The 10-Minute Voice Training for FoundersDay 7: Overwhelmed? Brain Dump to AI and Get an Actual Plan (5 Minutes)DAY 8: Stop Rewriting the Same Emails: Build Your AI Template Library (15 Minutes)DAY 9: Stop Explaining the Same Thing: Create SOPs While You Work (AI + 10 Minutes)DAY 10: Stuck on a Big Decision? Use AI to Get Unstuck (3-Question Framework)DAY 11: Plan Your Week Like a CEO: Want to increase revenue and impact? Listen to “She's That Founder” for insights on business strategy and female leadership to scale your business. Each episode offers advice on effective communication, team building, and management. Learn to master routines and systems to boost productivity and prevent burnout. Our delegation tips and business consulting will advance your executive leadership skills and presence.

Banks today have a great number of customer experience pain points. There's the trust factor to consider, on whether customers feel their bank actually care about them and their financial struggles. But there's also the fact that customers expect a seamless experience across multiple channels, whether that's in the branch, mobile or at the branch.In today's episode of the Bank Customer Experience podcast, Brian McEvoy, chief retail banking officer at Webster Five, joined Bradley Cooper to discuss how banks can navigate these customer pain points.He said during the podcast that "people process technology in unison." In other words, the various platforms have to work together. It's not enough to have a fancy mobile app that doesn't integrate well with your other bank platforms or doesn't integrate with third party apps.McEvoy added that the hardest part for banks is: "How do you make a frictionless experience for the customer?" This is a particularly big problem as customers have far less patience for any frustration in the experience."If there's any pain point in the experience, our tolerance and patience is less than it used to be."So how do banks address this? McEvoy pointed to a few important elements:Refocus branches to have a custom experience for guests.Use AI to automate simpler tasks.Use a mobile-first strategy to ensure all your bank's features are accessible.During the discussion, McEvoy addressed several subtopics such as:Identifying pain points.Making a good branch experience.Keeping the personal touch while also using AI.Listen to the full discussion above.

With so many ways to make money online, many founders and creators have lost sight of the most powerful one: email marketing. John Ainsworth, founder of Data Driven Marketing, says you're leaving tons of money on the table if you're not doing it well. John is back on the pod to share his best tips and tactics on landing pages, upsells, lead magnets, and more. You might want to take some notes for this one! LINKS Rolodex Marketing Resource (https://docs.google.com/document/d/1jRV_ncgCWAMRB7tZZtnO7x0Tn5sE46-tYkwN6paVG3A/edit?tab=t.0) Free Email Marketing Resources (https://datadrivenmarketing.co/resources/) John's Podcast: The Art of Selling Online Courses (https://www.youtube.com/@john_ainsworth/videos) Meet John and other location-independent founders inside Dynamite Circle (https://dynamitecircle.com/) Hang out exclusively with 7+ figure founders (https://dynamitecircle.com/dc-black) Get 2 months of Perspective AI FREE with promo code TMBA (https://getperspective.ai/tmba) Share your thoughts about the podcast (https://getperspective.ai/interview/tmba-feedback) [takes 2 minutes] 22 FREE business resources for location-independent entrepreneurs (https://tropicalmba.com/resources) CHAPTERS (00:02:11) Email Marketing: A Must-Have Money Maker (00:11:50) 15 Steps to a High-Converting Landing Page (00:19:18) Do Webinars Still Work in 2026? (00:24:09) What Makes a Great Lead Magnet (00:29:09) The Power of Order Bumps and Upsells (00:36:58) How to Use AI to Improve Your Funnels (00:40:45) How to Make Extra Money with Trip Wires (00:44:37) Rapid-Fire Email Tips for 2026 (00:50:49) How John is Running His 7-Figure Agency CONNECT: Dan@tropicalmba.com Ian@tropicalmba.com Past guests on TMBA include Cal Newport, David Heinemeier Hannson, Seth Godin, Ricardo Semler, Noah Kagan, Rob Walling, Jay Clouse, Einar Vollset, Sam Dogan, Gino Wickam, James Clear, Jodie Cook, Mark Webster, Steph Smith, Taylor Pearson, Justin Tan, Matt Gartland, Ayman Al-Abdullah, Lucy Bella. PLAYLIST: Marketing to High-Dollar Clients (https://tropicalmba.com/episodes/marketing-to-high-dollar-clients) 6-Figure Sales Expert Calls You Out (Don't Keep Doing This in 2026) (https://tropicalmba.com/episodes/dont-keep-doing-this-2026) 8 Simple Steps for Improving Your Sales Funnel (https://tropicalmba.com/episodes/john-ainsworth-sales-funnel)

(Presented by ThreatLocker (https://threatlocker.com/threebuddyproblem): Allow what you need. Block everything else by default, including ransomware and rogue code.) Three Buddy Problem - Episode 76: On the show this week, Costin walks through how a single Romanian documentary kick-started nationwide protests, exposing how corruption can be perfectly legal when the law itself is gamed, and why this moment feels different, darker, and more consequential than past flare-ups. Plus, news on the React-to-Shell exploitation wave overwhelming the internet, why patching is structurally hard, and how APTs and criminals are converging on the same fragile dependency chain. Along the way, they take aim at Microsoft's shrinking transparency, the limits of vendor trust, and what it really means when defenders are told (again) to just patch and pray. Cast: Juan Andres Guerrero-Saade (https://twitter.com/juanandres_gs), Ryan Naraine (https://twitter.com/ryanaraine) and Costin Raiu (https://twitter.com/craiu).

Send us a textYou've got a full calendar and zero clarity. Here's how to flip the script in just 10 minutes using AI.If your week starts in panic-scroll mode and ends in “what did I even do?” mode—this one's for you. Let's build your Weekly CEO Reset and take back control.In Day 11 of 12 Days of AI Quick Wins, Dawn walks you through the Weekly CEO Reset—a 10-minute AI ritual to help you prioritize, plan, and protect your time. Instead of letting the week run you, this simple framework helps you brain-dump everything, sort by impact, and schedule what actually matters. Perfect for Sunday nights, Monday mornings, or any time you feel the chaos creeping in.Your Day 11 Action:Right now, open your calendar and block 10 minutes for your Weekly CEO Reset.Use the AI prompt in today's episode, and let the week start with clarity—not catch-up.Key Takeaways:This is planning, not doing. You need strategy time to stay out of reactive mode.Use the AI Weekly Reset Prompt to categorize your tasks into Must Do, Should Do, Want to Do, and Worried About.AI turns your chaos into a clear plan—top 3 priorities, realistic workload, and overcomplication flags.Your calendar = your power. Schedule your priorities like they matter—because they do.End the week smarter. Review Friday to learn, adjust, and grow.Resources & Links:Get the full 12 Days of AI Quick Wins Toolkit – just $7Register FREE for the Day 13 Live AI Implementation Party – win a 90-minute Strategy IntensiveRelated Episodes:Day 1: Stop Overthinking ChatGPT: Free vs. $20—Which One Actually Matters for FoundersDay 2: The 3 AI Prompts Every Female Founder Needs in Her PhoneDay 3: Why ChatGPT Sounds Like a Robot (And the One Sentence That Fixes It)Day 4: AI Email Triage: End Inbox Overwhelm in 5 MinutesDay 5: The 5-Minute Meeting Prep AI Hack That Makes You Look Totally PreparedDay 6: Stop Rewriting Everything AI Writes: The 10-Minute Voice Training for FoundersDay 7: Overwhelmed? Brain Dump to AI and Get an Actual Plan (5 Minutes)DAY 8: Stop Rewriting the Same Emails: Build Your AI Template Library (15 Minutes)DAY 9: Stop Explaining the Same Thing: Create SOPs While You Work (AI + 10 Minutes)DAY 10: Stuck on a Big Decision? Use AI to Get Unstuck (3-QWant to increase revenue and impact? Listen to “She's That Founder” for insights on business strategy and female leadership to scale your business. Each episode offers advice on effective communication, team building, and management. Learn to master routines and systems to boost productivity and prevent burnout. Our delegation tips and business consulting will advance your executive leadership skills and presence.

Tired of hearing about how AI is going to change your job? We sure are... That's exactly why the way we think about AI in relation to our work needs to be reshuffled. This week, Jim is eager to share one of his latest reads, which helps us reframe how we think about AI.

AI is everywhere—but how do you use it to create content that's more human, more you, and not generic junk?In this episode, I (Kim Rittberg—award-winning marketer & former media exec) break down how to use ChatGPT and other AI tools to craft content that connects. You'll learn my SAG Formula to filter and refine AI-generated ideas so they sound like you, reflect what you believe, and steer clear of sounding like every other post out there.

AI is everywhere—but how do you use it to create content that's more human, more you, and not generic junk?In this episode, I (Kim Rittberg—award-winning marketer & former media exec) break down how to use ChatGPT and other AI tools to craft content that connects. You'll learn my SAG Formula to filter and refine AI-generated ideas so they sound like you, reflect what you believe, and steer clear of sounding like every other post out there.

SaaStr 832: How to Use AI to Hyper-Customize Go-To-Market at Scale with SaaStr's CEO and Chief AI Officer In this episode from SaaStr AI London 2025,  SaaStr CEO and Founder Jason Lemkin and SaaStr's Chief AI Officer, Amelia Lerutte discuss the implementation and optimization of AI SDRs within various business contexts. They focus on key AI agents used for sales processes, data aggregation, and the customization of outbound and inbound messages. Real-world results, like increased email response rates, are highlighted along with practical steps for setting up and training AI SDRs. They also offer advice on selecting the right vendors, the importance of human oversight, and leveraging AI to improve qualification and customer interactions. Key takeaways include how AI can handle more interactions consistently and efficiently and the role of AI in augmenting human sales capabilities.  --------------------- This episode is Sponsored in part by HappyFox: Imagine having AI agents for every support task — one that triages tickets, another that catches duplicates, one that spots churn risks. That'd be pretty amazing, right? HappyFox just made it real with Autopilot. These pre-built AI agents deploy in about 60 seconds and run for as low as 2 cents per successful action. All of it sits inside the HappyFox omnichannel, AI-first support stack — Chatbot, Copilot, and Autopilot working as one. Check them out at happyfox.com/saastr  --------------------- Hey everybody, the biggest B2B + AI event of the year will be back - SaaStr AI in the SF Bay Area, aka the SaaStr Annual, will be back in May 2026.  With 68% VP-level and above, 36% CEOs and founders and a growing 25% AI-first professional, this is the very best of the best S-tier attendees and decision makers that come to SaaStr each year.   But here's the reality, folks: the longer you wait, the higher ticket prices can get. Early bird tickets are available now, but once they're gone, you'll pay hundreds more so don't wait.  Lock in your spot today by going to podcast.saastrannual.com to get my exclusive discount SaaStr AI SF 2026. We'll see you there.

-AI chatbots haven't come close to replacing teens' social media habits, but they are playing a significant role in their online habits. Nearly one-third of US teens report using AI chatbots daily or more, according to a new report from Pew Research. -It looks like Meta has decided to turn Instagram users into unwitting SEO spam pawns. On Tuesday, 404 Media reported that the platform is generating sensational, likely AI-generated headlines and descriptions for user posts without their knowledge or explicit consent. -Pebble just announced the Index 01, a smart ring for recording thoughts. It's a little ring with a built-in microphone and that's about it. The Index 01 is almost anti-tech in its simplicity. It's available for pre-order now. Learn more about your ad choices. Visit podcastchoices.com/adchoices

While teenagers may start out using AI chatbots for basic questions, their relationship with chatbot platforms has the potential to turn addictive. Plus, Anysphere CEO Michael Truell explained the features his company is focused on building out after reaching $1 billion in annualized revenue,. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Can you build an art career without social media? How helpful is AI, actually? Jake Parker, Lee White, and Anthony Wheeler discuss why human connections still outweigh algorithms and how you can use them to your advantage. 3 Point Perspective Podcast is sponsored by SVSLearn.com, the place where becoming a great illustrator starts!Click here for this episode's links and show notes.

As podcast guests, showing up unprepared, overly scripted, or simply repeating yourself in every podcast interview can quickly lead to burnout and a lack of results. But, there's a quick way to ensure you're always uniquely prepared for every podcast interview! In this episode, Mike Montague explains how to utilize AI to help with preparation and positioning for upcoming interviews. Get ready to tailor your message uniquely for every host and their audiences in a way that gets you remembered!MORE FROM THIS EPISODE: HTTPS://PODMATCH.COM/EP/361Chapters00:00 Harnessing AI for Podcast Preparation02:53 Crafting Your Podcast Persona05:45 Sharpening Your Talking Points09:04 Connecting Through StorytellingTakeawaysAI can help you show up sharper and more relevant.Great guests package their ideas well for hosts.Context builds trust, and AI can give you that context.Be interesting and memorable, not just prepared.AI can be the best brainstorming partner you've ever had.Use AI to save time in your prep and promotion.Know the show, know the host, and know the audience.Don't let AI make you sound more robotic.Treat AI like a coach, not a crutch.Find fresh stories and personal insights with AI.MORE FROM THIS EPISODE: HTTPS://PODMATCH.COM/EP/361

Stories can increase revenue by 376%, but only if you do them right. In one study, scientists proved that adding a fictional story to a cheap spoon on eBay increased its final selling price by 64%. They found the same result with wine, art, and charitable donations (Those used real stories though. They call it the "Rokia" Effect). Stories don't change the product. They change the value of the product in the customer's mind. But it can be hard to come up with them because we think they have to be about us, our amazing accomplishments, or our lives. THEY DON'T. In this video, I break down: The "Value Inflation" Data: Why stories mathematically increase conversion rates by 30%+. The Revenue Spike: Why a specific type of story can lead to 376% more revenue per customer. The Anti-Personal Brand: How to use stories without ever being the "main character." The Danger Of AI: Why purely AI-generated stories usually cause a 62% DROP in trust (and how to fix it). My Story-Based Workflow: How I use AI (Ojoy) for "Deep Research" and structuring—so I can deploy this strategy without staring at a blank page, making stuff up, or being too boring. It's a cool little system: Use AI to find the story, so the story can sell the product for you.

Send us a textTired of Explaining the Same Thing Twice? Turn It Into an SOP—in 10 MinutesYou keep saying, “I should really write this down.” But let's be honest—you won't. Here's how to document as you do—no extra time required.If you're the only one who knows how to do it, you're the bottleneck. Let's fix that in 10 minutes—without ever “sitting down to document.”In Day 9 of 12 Days of AI Quick Wins, Dawn teaches you how to turn any repeatable task into a team-ready SOP—while you're doing it. Whether it's onboarding clients, prepping for sales calls, or giving feedback, this method lets you narrate the process in real-time while AI formats it into a clean, usable doc. Say goodbye to “I'll document it later”—and hello to delegation that actually works.Your Day 9 Action:Next time you catch yourself explaining something (again), open ChatGPT and narrate it instead.Use the SOP prompt to generate a clear, usable doc.Save it, share it, and start reclaiming your time—one process at a time.Key Takeaways:Repeat = delegate-ready. If you've explained something more than twice, it's SOP-worthy.Narrate while you work. Open ChatGPT, talk through the process like a cooking show host.Use the SOP Prompt: AI turns your messy monologue into numbered steps, tools, and timing.You don't write it—AI does. You just talk, scan, and save.Put it where your team lives. Not buried in folders—make it accessible and actionable.Resources & Links:Get the full 12 Days of AI Quick Wins Toolkit – just $7Register FREE for the Day 13 Live AI Implementation Party – win a 90-minute Strategy IntensiveRelated Episodes:Day 1: Stop Overthinking ChatGPT: Free vs. $20—Which One Actually Matters for FoundersDay 2: The 3 AI Prompts Every Female Founder Needs in Her PhoneDay 3: Why ChatGPT Sounds Like a Robot (And the One Sentence That Fixes It)Day 4: AI Email Triage: End Inbox Overwhelm in 5 MinutesDay 5: The 5-Minute Meeting Prep AI Hack That Makes You Look Totally PreparedDay 6: Stop Rewriting Everything AI Writes: The 10-Minute Voice Training for FoundersDay 7: Overwhelmed? Brain Dump to AI and Get an Actual Plan (5 Minutes)DAY 8: Stop Rewriting the Same Emails: Build Your AI Template Library (15 Minutes)Want to increase revenue and impact? Listen to “She's That Founder” for insights on business strategy and female leadership to scale your business. Each episode offers advice on effective communication, team building, and management. Learn to master routines and systems to boost productivity and prevent burnout. Our delegation tips and business consulting will advance your executive leadership skills and presence.

Payer algorithms now drive denials, audits, and prior authorization decisions before a human ever reviews the case. This episode breaks down how automated payer models impact hospital revenue—and what leaders must do to strengthen oversight, governance, and defensibility.Brought to you by www.infinx.com

AI 시대 외국어를 왜 배워야 할 지 함께 생각해봅시다 :) 이번 에피소드에서는 전직 통번역사이자 현직 뉴욕 교사인 소피(Sophie)가 바라본 'AI 시대의 언어 학습'에 대해 이야기합니다.변화된 환경: 텍스트 생성 AI와 함께하는 콘텐츠 창작의 명과 암사라진 직업: 자동 번역 기술의 발전과 통번역 시장의 변화핵심 질문: 기술적 편의성(전동 휠체어)과 인간의 주체적 노력(걷기) 사이의 균형결론: 우리가 기계에 의존하지 않고 스스로 사고하고 언어를 구사해야 하는 진정한 이유#코리안뉴요커 #AI시대 #영어공부 #외국어학습 #교육에세이 #뉴욕생활 #번역기 #챗GPT #인문학 #동기부여AI의 발전 속에서 인간의 역할에 대해 고민하는 분들께 추천합니다.

In this episode, Dan Uyemura of PushPress returns to discuss the future of fitness technology with host Eric Malzone. They dive into PushPress's evolution into an AI-powered gym management platform, exploring how artificial intelligence is reshaping operations for independent, community-focused gyms. Dan shares real-world examples of AI in action—from automated member management and smart reporting to AI coaching assistants that personalize member experiences. The conversation also tackles the bigger picture: why AI adoption is essential for survival in today's fast-moving tech landscape, how gyms can leverage AI as a team member rather than a job replacer, and why the fitness industry remains uniquely human and resilient in the face of automation. Whether you're a gym owner, coach, or tech enthusiast, this episode offers a practical and forward-looking view of how AI can empower small businesses to thrive.

Don't Use AI To Pray

How I Use AI in My Law Firm. If you want more profit in your law firm with less chaos, grab my Law Firm Profit Playbook - https://bigbirdaccounting.com/playbook.

In this episode, we break down Meta's move to centralize Facebook and Instagram support while testing a new AI support assistant. We also explore the reported plan to slash its Metaverse budget by up to 30% and what this signals for the company's shifting priorities.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle---------See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Key Takeaways: Energy-independent homes create value: Houses powered by solar panels and Bitcoin mining can produce their own energy and generate income. Use AI for smarter living: Automating homes with AI and smart tech can cut costs and even create new income opportunities over time. New opportunities for trade workers: Electricians and other skilled workers can benefit by offering smart home upgrades and related services. Work together as a community: Collaboration between tradespeople and tech experts is key to building innovative, energy-efficient homes. Adopt technology to grow wealth: The future of financial success depends on embracing new technology and continuously learning to adapt.   Chapters: Timestamp Summary 0:00 Creating the Self Sufficient Home of the Future 1:44 Transforming Homes Into Income-Generating Smart Centers 6:19 Integrating Robots and AI as Trade Apprentices 6:56 Challenges and Solutions in Smart Home Maintenance 8:56 Embracing Future Opportunities and Evolving Archetypes in Business 10:16 Exploring Opportunities Beyond Taxes    Powered by ReiffMartin CPA and Stone Hill Wealth Management   Social Media Handles    Follow Phillip Washington, Jr. on Instagram (@askphillip)   Subscribe to Wealth Building Made Simple newsletter https://www.wealthbuildingmadesimple.us/   Ready to turn your investing dreams into reality? Our "Wealth Building Made Simple" premium newsletter is your secret weapon. We break down investing in a way that's easy to understand, even if you're just starting out. Learn the tricks the wealthy use, discover exciting opportunities, and start building the future YOU want. Sign up now, and let's make those dreams happen!   WBMS Premium Subscription   Phillip Washington, Jr. is a registered investment adviser. Information presented is for educational purposes only and does not intend to make an offer or solicitation for the sale or purchase of any specific securities, investments, or investment strategies. Investments involve risk and, unless otherwise stated, are not guaranteed. Be sure to first consult with a qualified financial adviser and/or tax professional before implementing any strategy discussed herein. Past performance is not indicative of future performance.

Send us a textIs your calendar full of holiday chaos and client deadlines, but you're the one burning the midnight oil? A yes in December = resentment in January.In this Thursday rant, Dawn Andrews drops a boundary-setting truth bomb every female founder needs before year-end burnout hits. If your Slack is full of time-off requests and your inbox is brimming with client deliverables, this episode shows you how to stop playing Santa and start leading like a CEO. Learn how to use AI to draft warm, clear boundary scripts that don't make you sound like the Grinch — and walk into Q1 energized, not resentful.Download The Feedback Fix — Get the free script-filled guide that shows you how to say what you mean without sounding harsh. Perfect for holiday boundary-setting, team feedback, and boss moves that actually land.Key TakeawaysYes in December = Resentment in January — Boundaries aren't mean; they're strategic and essential for sustainable leadership.The 3 Boundary Buckets — Know your non-negotiables, your flex zones, and your intentional gifts.Real Scenarios, Real Scripts — Dawn shares 3 holiday-season dilemmas and gives you the exact AI prompts to handle them with clarity and compassion.Train Your AI to Talk Like You — Use AI as your boundary translator, not your boss. It works with your voice, not against it.Leadership Is Not a Popularity Contest — Your team will respect you more when you're clear and consistent, not just "cool." Resources & LinksThe Feedback Fix (Free Download) — Scripts to help you set boundaries and give feedback that sticks.AI for Founders Community — A safe space to test prompts and talk boundaries without burnout.Related EpisodesEp 108 — 3 AI Systems That Help Female Founders Manage Time, Clients, and Business During the Holidays → A perfect companion episode if you're juggling end-of-year chaos and wondering where AI can take real work off your plate.Ep 102 — 3 Standard Operating Procedures Every Founder Should Build in 30 Minutes (Using AI to Write Your SOPs) → If you're ready to stop reinventing the wheel every December, this one shows you how to use AI to streamline team ops.Want to increase revenue and impact? Listen to “She's That Founder” for insights on business strategy and female leadership to scale your business. Each episode offers advice on effective communication, team building, and management. Learn to master routines and systems to boost productivity and prevent burnout. Our delegation tips and business consulting will advance your executive leadership skills and presence.

What happens when classic instructional design models meet cutting-edge AI tools? In this episode of Powered by Learning, Transcarent's Director of Learning and Development Sheldon Thomas talks about applying the ADDIE model to a modern healthcare call center environment, from multi-stage onboarding to AI-enabled simulations. Learn how his team balances speed, personalization, and strong design to deliver training that actually changes performance.  Show Notes:Transcarent's Director of Learning and Development Sheldon Thomas shares how his team uses AI-driven role plays, performance coaching, and thoughtful design to prepare team members for complex member conversations. His key takeaways include:Align L&D to business outcomes. Sheldon shares how Transcarent's learning strategy mirrors the company's mission to improve member health outcomes—using the ADDIE model to connect learner needs, performance metrics, and measurable impact.Design a multi-layered onboarding journey. New Performance Development Coaches move through a blended learning experience that combines instructor-led training, self-paced eLearning, performance development coaches, and a “cocooning” phase with supervisors to build both competence and confidence.Use AI role plays to make practice realistic and scalable. AI-driven simulations on Udemy's platform allow health guides to practice complex conversations, demonstrate empathy, and navigate systems in a realistic, time-bound environment—without pulling live agents off the phones.Balance interactivity with meaningful design. While AI tools in Storyline and Rise accelerate development, Sheldon emphasizes that true design goes beyond uploading content—it's about curating experiences that are both Interactive and genuinely engaging.Look ahead to real-time, personalized performance support. Sheldon envisions AI delivering just-in-time coaching immediately after calls and targeting specific skill gaps, moving beyond one-size-fits-all training to truly personalized learning in the flow of work.Powered by Learning earned Awards of Distinction in the Podcast/Audio and Business Podcast categories from The Communicator Awards and a Gold and Silver Davey Award. The podcast is also named to Feedspot's Top 40 L&D podcasts and Training Industry's Ultimate L&D Podcast Guide. Learn more about d'Vinci at www.dvinci.com. Follow us on LinkedInLike us on Facebook

Things get real (and a little funny) as Steven Jack Butala and Jill DeWit dive into how to actually use AI in your land business today—without letting it script your entire life. In this Back to the Basics episode of The Land Academy Show, they break down why certain deals should never make it past your desk, especially those buried in steep HOA fees and niche communities. Learn how a single Discord post stirred up a valuable conversation on avoiding costly mistakes, filtering your mailers like a pro, and using AI as a smart, practical tool (not your business brain). Bonus: Some candid banter and lessons on what won't change in your relationship—no matter how advanced AI gets.

Too many business owners are trying to use AI as a shortcut to fire people instead of using it to multiply the output of their best people. And that mindset is killing their growth. Matt Leitz has been building automation systems for 7- and 8-figure companies long before AI went mainstream. He's seen inside the machines powering 9-figure brands… and the truth is simple: automation isn't optional anymore. If you want to scale, you need a business that compounds output without requiring more of your time. Matt breaks down how to use AI as leverage — not as a crutch. He shares where founders get stuck, which systems create the highest ROI, how to turn funnels profitable even when ads lose money on day one, and how to build automations that drive revenue for years. If you've been trying to figure out how to integrate AI without breaking your business, this conversation will completely reset your framework.     Key Takeaways 00:00 Intro 01:36 You're Thinking About AI All Wrong 02:54 AI Agents and Chatbots 05:24 Start With Strategy, Not Technology 08:09 Why You Shouldn't Automate Reporting 11:22 Prompt Engineering is Easier Than You Think 16:04 How To Build & Leverage Custom GPTs 20:41 Collaborating With AI For Better Results 27:10 AI Tool that Boosts Sales Rep Performance 30:06 Why Tool-Hopping Slows Your Growth 31:50 Why Automation Is Required To Scale Big 35:35 Are Traditional Marketing Funnels Dead? 41:03 When to Focus ON or IN the Business 45:42 The Real Path To Scaling Ad Spend 54:03 Lead Offers vs. Maximizer Offers 01:02:06 Protecting Your Time Above Everything Else     Watch on YouTube: https://youtu.be/F96ncjHK8jI    Let's Connect: Website | Instagram | YouTube | TikTok | Twitter | Facebook

Send us a textComedy can tell the truth about tech faster than a slide deck—and Jason Yeager proves it. We sit down with the creator behind MyTechCEO  to unpack how satire, timing, and taste can outperform dry explainers, win brand partnerships, and build a loyal audience without resorting to shock value. If you've wondered how to make complex ideas irresistible to watch and easy to share, this conversation lays out a practical path.Jason breaks down the engine behind rapid growth: a smart blend of evergreen jokes and trend-driven content that lands while the market is paying attention. We talk through why AWS, Microsoft, and crypto brands back a satirical format, what they're buying beyond impressions, and how a distinct voice carves space in a crowded feed. We also dig into the AI hype cycle. Jason's take is clear: AI won't replace creators with taste. As machine-made sludge rises, audiences will seek real, human judgment. Use AI to raise quality, speed edits, and spot patterns—then let your taste make the final call.We go deeper on credibility: how to avoid becoming a meme page, why negative bait erodes trust, and how careful idea selection builds staying power with founders and VCs. Jason shares how his operator background shapes content strategy, how audience reactions reveal the psychology of tech (especially around AGI anxiety), and how to evolve a media brand into products without leaning on weak “shill” tactics. For builders, we map a playbook for using AI-native and no-code tools to go from idea to prototype faster, while keeping narrative sharp and audience-first.If you care about creator strategy, startup storytelling, and the future of media in the AI age, you'll leave with tactics you can use today. Follow Jason at MyTechCEO and European Kid on Instagram, then subscribe to the show, share with a founder friend, and drop a review so more curious builders can find us.This episode was recorded in the official podcast booth at Crypto Content Creator Campus (CCCC) at the Carlos Lopes Pavillion (Lisbon) on November 15, 2025. Check the video footage, read the blog article and show notes here: https://webdrie.net/from-satire-to-strategy-how-my-tech-ceo-scales-with-timing-trends-and-taste-with-jason-yeager/..........................................................................

Send us a textYou're not bad at email, you're overwhelmed. AI can triage your inbox before it hijacks your morning. Let's fix your overwhelm with one simple daily ritual.In Day 4 of 12 Days of AI Quick Wins, Dawn delivers a game-changing AI workflow that helps female founders regain control of their inbox—without the spiral. Instead of stress-scanning emails and reacting to the loudest ping, you'll learn how to copy your top 20 unread subject lines and let AI sort them into clear, actionable priorities. Your mornings just got 20 minutes lighter.Your Day 4 Action:Tomorrow morning, before opening anything—copy your top 20 email subject lines into ChatGPT with the triage prompt from today's episode. Watch your inbox go from chaos to clarity in under 5 minutes.Key Takeaways:The 5-minute inbox fix: Use AI to sort unread emails into: Urgent, Important, Delegate, Delete.Why it works: AI sees patterns and priorities you miss when you're in panic-scroll mode.Copy/paste efficiency: Just send subject lines—AI handles the sorting.Founder clarity = founder power. Start your day with purpose, not email-induced anxiety.Stop answering the easy emails first. Start with what actually moves your business forward.Resources & Links:Get the full 12 Days of AI Quick Wins Toolkit – just $7Register FREE for the Day 13 Live AI Implementation Party – win a 90-minute Strategy IntensiveRelated Episodes:Day 1: Stop Overthinking ChatGPT: Free vs. $20—Which One Actually Matters for FoundersDay 2: The 3 AI Prompts Every Female Founder Needs in Her Phone (Copy These Now)Day 3: Why ChatGPT Sounds Like a Corporate Robot (And the One Sentence That Fixes It)EP. 99 | Stop Writing Terrible Prompts (Your AI Is Only As Smart As Your Instructions)Want to increase revenue and impact? Listen to “She's That Founder” for insights on business strategy and female leadership to scale your business. Each episode offers advice on effective communication, team building, and management. Learn to master routines and systems to boost productivity and prevent burnout. Our delegation tips and business consulting will advance your executive leadership skills and presence.

In this episode, Marcus sits down with Navy SEAL combat veteran, bestselling author, and entrepreneur Brent Gleeson. They discuss leadership, personal growth, building resilient organizations, and Brent's new book "All In." The conversation dives deep into actionable strategies for success, the importance of systems, and how to balance achievement with fulfillment. Episode Highlights: 1:05 - Brent Gleeson's background: Navy SEAL, entrepreneur, and author 9:50 - The Remarkable Results Pyramid: systems, mindset, and routines 25:10 - The story behind "All In" and the impact of personal transformation 35:10 - Accelerate: leveraging AI for organizational growth and leadership Brent Gleeson is a Navy SEAL combat veteran, award-winning speaker, and serial entrepreneur. He is the CEO of Exlr8, an AI-powered enterprise workforce app, and the author of bestselling books "Embrace the Suck," "Taking Point," and his latest, "All In." Brent is renowned for applying leadership and cultural principles from special operations to the business world, helping organizations drive performance and lead change. Learn more about the gift of Adversity and my mission to help my fellow humans create a better world by heading to www.marcusaureliusanderson.com. There you can take action by joining my ANV inner circle to get exclusive content and information.See omnystudio.com/listener for privacy information.

Protect your family with our 1-minute free parent quiz https://www.smartsocial.com/newsletterJoin our next weekly live parent events:  https://smartsocial.com/eventsEpisode Summary:In this episode of the SmartSocial.com Podcast, host Josh Ochs sits down with Robert Smith, Superintendent of the Alpine School District in Utah, to discuss the evolving landscape of digital safety in schools. They delve into various online threats such as cyberbullying, screen time addiction, and inappropriate content. Rob Smith shares his unique perspective as a non-traditional superintendent with a background in accounting and management. They also explore how AI can be a supportive tool for learning, the importance of modeling healthy screen habits for children, and effective strategies for parental and community engagement in online safety.Become a Smart Social VIP (Very Informed Parents) Member: https://SmartSocial.com/vipDistrict Leaders: Schedule a free phone consultation to get ideas on how to protect your students in your community https://smartsocial.com/partnerDownload the free Smart Social app: https://www.smartsocial.com/appdownloadLearn about the top 190+ popular teen apps: https://smartsocial.com/app-guide-parents-teachers/View the top parental control software: https://smartsocial.com/parental-control-software/The SmartSocial.com Podcast helps parents and educators to keep their kids safe on social media, so they can Shine Online™

Imagine having your own world-class registered dietitian designing every meal to fit your lifestyle, help you lose fat, and maintain lean muscle without spending a cent. In this episode, Chalene explains how to use AI as your personal nutrition coach to create a fully customized calorie deficit plan that actually works. She walks you step by step through how to use ChatGPT to calculate your macros, design meals you will love, and fine tune your plan when progress slows. If you have ever thought it would be easy to lose weight if someone just told you exactly what to eat, this episode will show you how to make that happen. Watch this episode on YouTube this Sunday!!  https://www.youtube.com/@chalenejohnson/videos  

Ex-Google Insider and AI Expert TRISTAN HARRIS reveals how ChatGPT, China, and Elon Musk are racing to build uncontrollable AI, and warns it will blackmail humans, hack democracy, and threaten jobs…by 2027 Tristan Harris is a former Google design ethicist and leading voice from Netflix's The Social Dilemma. He is also co-founder of the Center for Humane Technology, where he advises policymakers, tech leaders, and the public on the risks of AI, algorithmic manipulation, and the global race toward AGI. Please consider sharing this episode widely. Using this link to share the episode will earn you points for every referral, and you'll unlock prizes as you earn more points: https://doac-perks.com/ He explains: ◼️How AI could trigger a global collapse by 2027 if left unchecked ◼️How AI will take 99% of jobs and collapse key industries by 2030 ◼️Why top tech CEOs are quietly meeting to prepare for AI-triggered chaos ◼️How algorithms are hijacking human attention, behavior, and free will ◼️The real reason governments are afraid to regulate OpenAI and Google [00:00] Intro [02:34] I Predicted the Big Change Before Social Media Took Our Attention [08:01] How Social Media Created the Most Anxious and Depressed Generation [13:22] Why AGI Will Displace Everyone [16:04] Are We Close to Getting AGI? [17:25] The Incentives Driving Us Toward a Future We Don't Want [20:11] The People Controlling AI Companies Are Dangerous [23:31] How AI Workers Make AI More Efficient [24:37] The Motivations Behind the AI Moguls [29:34] Elon Warned Us for a Decade — Now He's Part of the Race [34:52] Are You Optimistic About Our Future? [38:11] Sam Altman's Incentives [38:59] AI Will Do Anything for Its Own Survival [46:31] How China Is Approaching AI [48:29] Humanoid Robots Are Being Built Right Now [52:19] What Happens When You Use or Don't Use AI [55:47] We Need a Transition Plan or People Will Starve [01:01:23] Ads [01:02:24] Who Will Pay Us When All Jobs Are Automated? [01:05:48] Will Universal Basic Income Work? [01:09:36] Why You Should Only Vote for Politicians Who Care About AI [01:11:31] What Is the Alternative Path? [01:15:25] Becoming an Advocate to Prevent AI Dangers [01:17:48] Building AI With Humanity's Interests at Heart [01:20:19] Your ChatGPT Is Customised to You [01:21:35] People Using AI as Romantic Companions [01:23:19] AI and the Death of a Teenager [01:25:55] Is AI Psychosis Real? [01:32:01] Why Employees Developing AI Are Leaving Companies [01:35:21] Ads [01:43:43] What We Can Do at Home to Help With These Issues [01:52:35] AI CEOs and Politicians Are Coming [01:56:34] What the Future of Humanoid Robots Will Look Like Follow Tristan: X - https://bit.ly/3LTVLqy Instagram - https://bit.ly/3M0cHeW The Diary Of A CEO: ◼️Join DOAC circle here - https://doaccircle.com/ ◼️Buy The Diary Of A CEO book here - https://smarturl.it/DOACbook ◼️The 1% Diary is back - limited time only: https://bit.ly/3YFbJbt ◼️The Diary Of A CEO Conversation Cards (Second Edition): https://g2ul0.app.link/f31dsUttKKb ◼️Get email updates - https://bit.ly/diary-of-a-ceo-yt ◼️Follow Steven - https://g2ul0.app.link/gnGqL4IsKKb Sponsors: ExpressVPN - visit https://ExpressVPN.com/DOAC to find out how you can get up to four extra months. Intuit - If you want help getting out of the weeds of admin, https://intuitquickbooks.com Bon Charge - http://boncharge.com/diary?rfsn=8189247.228c0cb with code DIARY for 25-30% off.