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In this episode of Healthy Mind, Healthy Life, host Sayan sits down with Alisha Esmail from Saskatoon, Saskatchewan, Canada to unpack a founder truth most people avoid. Burnout is not a badge, it's a bottleneck. Alisha shares how burning out three times forced her to rebuild her business approach with stronger systems, clearer priorities, and a “harmony over balance” mindset. They break down her Five Tanks Framework (emotional, mental, physical, relational, spiritual) and a practical daily check-in to spot depletion before it snowballs. They also get real about using AI and automation to buy back time without losing the human edge. If you're building a company, leading a team, or just tired of the hustle narrative, this one is a clean reset. About the Guest: Alisha Esmail is a purpose-led founder behind one of Canada's recognized coffee brands and a builder working at the intersection of AI, human performance, and sustainability. She teaches founders how to reduce burnout through systems, clarity, and her Five Tanks Framework. Key Takeaways: Burnout repeats when recovery is treated like a break, not a redesign of how you operate. “Harmony” beats “balance”. Some seasons require intensity, but the system has to pay you back with time later. The line between healthy intensity and overextension is context. Most “emergencies” can wait till tomorrow. Use the “three cards” rule. Limit how often you pull people into after-hours work so you don't burn out the team. Five Tanks Framework is universal: emotional, mental, physical, relational, spiritual. The refill method can vary by personality and season. A fast daily audit works: draw five circles, label the tanks, score each 1 to 10, then act on the lowest tank first. Empty tanks show up as short temper, conflict, anxiety, spiraling thoughts, and feeling out of control. AI should not replace thinking. It should remove repetitive tasks so founders stay in strategy, creativity, and leadership. Practical AI win: rewrite intense messages to reduce conflict and prevent “emotional shrapnel” in relationships. Scarcity is not a reason to self-destruct. It can be a forcing function for creativity and smarter leverage. Clarity kills chaos: define your real end goal, then work backward instead of sprinting toward a vague “success.” Community Guidelines Check (YouTube, Facebook, Instagram, LinkedIn): Not violating. Trademark Check: Mentions of Apple, iPhone, ChatGPT, and Claude are nominative references for identification only. No affiliation or endorsement is implied. How Listeners Can Connect With the Guest: Email: Instagram: connect via DM LinkedIn: Connect with Alisha Esmail and send a direct message https://roadcoffeeco.com/ Free gift: DM her “Five Tanks Framework” and mention this podcast to get the exercise book. Want to be a guest on Healthy Mind, Healthy Life? DM on PM - Send me a message on PodMatch DM Me Here: https://www.podmatch.com/hostdetailpreview/avik Disclaimer: This video is for educational and informational purposes only. The views expressed are the personal opinions of the guest and do not reflect the views of the host or Healthy Mind By Avik™️. We do not intend to harm, defame, or discredit any person, organization, brand, product, country, or profession mentioned. All third-party media used remain the property of their respective owners and are used under fair use for informational purposes. By watching, you acknowledge and accept this disclaimer. Healthy Mind By Avik™️ is a global platform redefining mental health as a necessity, not a luxury. Born during the pandemic, it's become a sanctuary for healing, growth, and mindful living. Hosted by Avik Chakraborty. storyteller, survivor, wellness advocate. this channel shares powerful podcasts and soul-nurturing conversations on: • Mental Health & Emotional Well-being • Mindfulness & Spiritual Growth • Holistic Healing & Conscious Living • Trauma Recovery & Self-Empowerment With over 4,400+ episodes and 168.4K+ global listeners, join us as we unite voices, break stigma, and build a world where every story matters. Subscribe and be part of this healing journey. Contact Brand: Healthy Mind By Avik™ Email: www.healthymindbyavik.com Based in: India & USA Open to collaborations, guest appearances, coaching, and strategic partnerships. Let's connect to create a ripple effect of positivity. 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Is AI finally ready to do your job — better, faster, and cheaper?In this week's Leveraging AI news recap, host Isar Meitis unpacks a flurry of groundbreaking developments in the world of artificial intelligence — from the release of GPT-5.2 to jaw-dropping advances in recursive self-improving AI (yes, it's as intense as it sounds).Whether you lead a business, a team, or just need to stay ahead of the AI curve — this episode is your executive summary for everything that matters (and nothing that doesn't).We'll also dig into the billion-dollar OpenAI–Disney partnership, how real users are actually leveraging AI in the wild, and why the Fed is finally admitting AI is changing the job market.In this session, you'll discover:The GPT-5.2 release: performance benchmarks and real-world capabilitiesIs GPT-5.2 better than humans at actual work? (71% of the time, yes)Why OpenAI's new “not-an-ad” ad rollout caused a user revoltOpenAI x Disney: Why $1B is being bet on AI-generated Mickey Mouse contentGPT-5.2's weak spots and where Claude Opus still dominatesWhat Recursive Self-Improving AI means (and why Eric Schmidt is nervous)AI designing its own hardware: A startup that could rewrite Moore's LawNew usage data from OpenRouter, Microsoft, SAP & Perplexity – how people actually use AI Why prompt length is exploding (and what that means for your business)AI agents in browsers: the productivity revolution or a security nightmare?Databricks proves AI sucks at raw documents (and how to fix it)The psychological bias against AI-created work — it's realClaude's new Slack integration: is this the dev team you didn't hire?Apple's AI brain drain & why it mattersGartner says: Block AI browsers (for now)AI and unemployment: The Fed finally connects the dotsWant to future-proof your team's AI skills? Isar's AI Business Transformation Course launches again in January — a proven, real-world guide to using AI across content, research, operations, and strategy.
What if your best-performing marketer didn't sleep, worked 24/7, and only cost $20/month?That's exactly what Michael Stelzner, founder of Social Media Examiner and Social Media Marketing World, has built using Claude Projects from Anthropic — and in this episode, he breaks it all down.If you're a business leader, you're in the content business — whether it's emails, reports, proposals, or social posts. But creating high-performing content consistently? That's where most fall short. This conversation will change that.Michael reveals his full AI-powered system for building persuasive marketing assets using Claude Projects — including the exact prompts, project structure, training methods, and use cases that are already driving massive ROI for his events and brands.In this session, you'll discover:How Claude Projects work (and why Michael prefers them over ChatGPT or Gemini)Why business leaders should think of AI as a strategist, not just a toolHow to train Claude to become your best-performing marketing writerReal-world examples of email marketing, podcast scripting, and ideationHow AI helps you scale personalization for different customer segmentsWhat kind of files, instructions, and feedback loops make Claude better over timeCreative ways to repurpose Claude for podcast planning, ad scripts, and beyondWhy better output beats faster output when it comes to business impactMichael Stelzner is the founder of Social Media Examiner, the host of Social Media Marketing Podcast and AI Explored, and the creator of Social Media Marketing World and AI Business World. He's a leading voice in content, marketing, and innovation — helping business leaders stay ahead of what's next.
Is AI building the future — or inflating the next great tech bubble?This week's episode of Leveraging AI peels back the layers of billion-dollar optimism and uncovers the quiet panic sweeping the AI giants. From OpenAI's internal “Code Red” to Anthropic's cautious warnings, host Isar Meitis walks you through the pivotal shifts shaking the foundation of the AI industry.While tech giants throw trillions into compute power and bold promises, business adoption is… shockingly stagnant. Are we seeing signs of a bubble about to burst — or is the market simply catching its breath before the next leap?If you're a business leader navigating the hype, headlines, and high stakes, this is your briefing.In this session, you'll discover:Why OpenAI froze development and went into Code Red modeHow $8 trillion in projected AI infrastructure is colliding with disappointing ROIThe growing disconnect between enterprise AI adoption and corporate AI spendWhat top CEOs like IBM's Arvind Krishna and Anthropic's Dario Amodei really think about the AI investment surgeA jaw-dropping look at deep AI infrastructure costs and the five-year obsolescence cycleWhy Claude Opus 4.5 is being called the best coding model on the marketThe bold new moves from AWS, including agentic AI factoriesPolitical pressures: PAC wars, employee protests, and the race to regulateAnd what your company should (and shouldn't) do right now to stay aheadAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!
Episode 591 of the Lawyerist Podcast explores one of the most urgent questions facing law firms today: how do you stay findable when Google and AI are rewriting the rules of search? SEO expert Cyrus Shepard explains how zero-click search, AI-generated answers, and new “experience” signals are transforming the way law firms must think about content, visibility, and online authority. Cyrus and Stephanie discuss why informational blog posts no longer drive the traffic they once did, how to structure content so LLMs can “read” and reference it, and why brand signals now carry more weight than keywords. They also cover how to evaluate SEO vendors, what metrics matter in an AI-first world, and simple steps lawyers can take to establish trust and expertise online. Links from the episode: lawyerist.com/scorecard Zyppy.com Listen to our previous episodes about Practical AI for Law. #562 – Beyond ChatGPT: The AI Revolution Happening Inside Your Firm, with Charreau Bell — Apple | Spotify | LTN #565 – Becoming the AI-Driven Leader, with Geoff Woods — Apple | Spotify | LTN #452 – Managing AI in Your Practice, with Ed Walters — Apple | Spotify | LTN #501 – Future-Proofing Your Firm in the Age of AI, with Jack Newton — Apple | Spotify | LTN Have thoughts about today's episode? Join the conversation on LinkedIn, Facebook, Instagram, and X! If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you. Access more resources from Lawyerist at lawyerist.com. Chapters / Timestamps: 00:00 – Intro & Scorecard03:53 – Meet Cyrus Shepard05:12 – How AI Is Changing Search06:00 – Zero-Click & AI Overviews07:26 – Why Old Content Tactics Fail08:57 – Shifting Toward Brand Authority10:09 – Writing Content LLMs Can Read11:33 – Showing Experience with E-E-A-T14:23 – Reddit, YouTube & Source Signals15:51 – Where New Firms Should Start17:18 – Brand Building as SEO Strategy18:27 – Vetting SEO Agencies Today20:40 – Metrics That Actually Matter22:03 – Real-World Visibility Wins22:21 – Wrap-Up & Where to Find Cyrus
Episode 591 of the Lawyerist Podcast explores one of the most urgent questions facing law firms today: how do you stay findable when Google and AI are rewriting the rules of search? SEO expert Cyrus Shepard explains how zero-click search, AI-generated answers, and new “experience” signals are transforming the way law firms must think about content, visibility, and online authority. Cyrus and Stephanie discuss why informational blog posts no longer drive the traffic they once did, how to structure content so LLMs can “read” and reference it, and why brand signals now carry more weight than keywords. They also cover how to evaluate SEO vendors, what metrics matter in an AI-first world, and simple steps lawyers can take to establish trust and expertise online. Links from the episode: lawyerist.com/scorecard Zyppy.com Listen to our previous episodes about Practical AI for Law. #562 – Beyond ChatGPT: The AI Revolution Happening Inside Your Firm, with Charreau Bell — Apple | Spotify | LTN #565 – Becoming the AI-Driven Leader, with Geoff Woods — Apple | Spotify | LTN #452 – Managing AI in Your Practice, with Ed Walters — Apple | Spotify | LTN #501 – Future-Proofing Your Firm in the Age of AI, with Jack Newton — Apple | Spotify | LTN Have thoughts about today's episode? Join the conversation on LinkedIn, Facebook, Instagram, and X! If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you. Access more resources from Lawyerist at lawyerist.com. Chapters / Timestamps: 00:00 – Intro & Scorecard03:53 – Meet Cyrus Shepard05:12 – How AI Is Changing Search06:00 – Zero-Click & AI Overviews07:26 – Why Old Content Tactics Fail08:57 – Shifting Toward Brand Authority10:09 – Writing Content LLMs Can Read11:33 – Showing Experience with E-E-A-T14:23 – Reddit, YouTube & Source Signals15:51 – Where New Firms Should Start17:18 – Brand Building as SEO Strategy18:27 – Vetting SEO Agencies Today20:40 – Metrics That Actually Matter22:03 – Real-World Visibility Wins22:21 – Wrap-Up & Where to Find Cyrus Learn more about your ad choices. Visit megaphone.fm/adchoices
It’s not just about cool tools. Hunter Hillegas (CTO at Mountain Goat Software) joins Brian to unpack what it’s really like to build with AI—from hallucinations and context management to dev workflows, testing strategies, and where the humans still matter most.
Join hosts Josiah and Micah Kennealy as they sit down with author and ministry leader Todd Korpi to unpack the rapid evolution of artificial intelligence and its implications for faith, church, and everyday life. Together, they discuss how to navigate the promises and challenges of AI while maintaining spiritual depth, ethical awareness, and strong relationships across generations. Main Topics: Todd's personal and ministry journey into AI and missiology Practical AI use cases: from workflow hacks to content creation and productivity Spiritual formation, ethics, and the “human factor” in an AI world Dangers and opportunities of relationship bots and AI as a mediator for scripture Balancing technological engagement with spiritual practices and real-life community Generational perspectives: Millennials, Boomers, Gen Z & Alpha adapting to AI Parenting, discipleship, and helping young adults find purpose in a digital age Practical rhythms and habits for healthy marriage, life, and ministry Notable Quotes & Takeaways: “Use AI as a research assistant, but never outsource your brain or creativity.” “What will you do with the margin AI creates—fill it with more work or deeper meaning?” “We need rhythms of engagement and withdrawal to stay healthy in a digital age.” “Being made in the image of God means AI, no matter how advanced, cannot replace our unique calling.” “Let's walk slowly and focus on meaningful relationships—don't let tech steal what matters most.” Resources & Mentions: Todd Korpi's book: “When AI Goes to Church” https://amzn.to/3JMCjLu References to digital ministry research, The Digital Mission Consortia Books mentioned: “The Ruthless Elimination of Hurry” by John Mark Comer, “The Anxious Generation” by Jonathan Haidt, and “Hybrid Congregation” by Michael Huerta Action Items: Explore AI tools to enhance workflows and presentations Reflect on how technology influences your spiritual formation and relationships Establish healthy boundaries and rhythms for tech use in personal and family life Connect with Us: Follow Todd Korpi's work for more on the intersection of faith and technology Subscribe to youngadultstoday for more interviews exploring leadership, ministry, and digital innovation Learn more about youngadultstoday: www.youngadults.today Give to the mission of youngadultstoday: https://tithe.ly/give?c=5350133 Resources: Free eBook "10 Steps to Starting a Successful Young Adult Ministry: https://www.youngadults.today/book/starting-a-successful-young-adult-ministry Join our FaceBook Group Community with 2500+ leaders: https://www.facebook.com/groups/796270437396021
In episode 590 of Lawyerist Podcast, learn how practical, everyday AI can help lawyers work smarter—not harder. Zack Glaser sits down with Graydon Trusler, a practical AI specialist and longtime law-firm operations pro, to explore how attorneys can use “productive laziness” to eliminate repetitive tasks, streamline case management, and reclaim valuable time. Graydon shares real examples from his family law firm, including how custom AI assistants help review discovery, prep hearings, analyze documents, and even support lawyers in the courtroom. Together, they break down privacy concerns, adoption hurdles, and simple ways to start using AI without getting overwhelmed. Discover why AI isn't a distant future—it's a powerful tool lawyers can start using today to improve workflows, reduce stress, and deliver better results for clients. Links from the episode: LexpertAI Listen to our previous episodes about Practical AI & Law Firm Efficiency: Episode #562: Beyond ChatGPT: The AI Revolution Happening Inside Your Firm, with Charreau Bell — Apple | Spotify | LTN Episode #565: Becoming the AI-Driven Leader, with Geoff Woods — Apple | Spotify | LTN Episode #577: Rethinking Law Firm Growth in the Age of AI, with Sam Harden — Apple | Spotify | LTN Episode #584: How to Stay Human in the Age of AI-Driven Law Firm Marketing, with Karin Conroy — Apple | Spotify | LTN Have thoughts about today's episode? Join the conversation on LinkedIn, Facebook, Instagram, and X! If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you. Access more resources from Lawyerist at lawyerist.com. Chapters / Timestamps: 00:00 – Introduction 08:45 – Meet Graydon 11:10 – Practical AI in Law Firms 16:40 – Myths, Fears & Privacy 19:00 – Real AI Workflows 23:00 – Productive Laziness 31:00 – AI in the Courtroom 34:45 – Faster Discovery & SOPs 38:50 – Flat Fees & the Future 45:13 – Closing Thoughts
In episode 590 of Lawyerist Podcast, learn how practical, everyday AI can help lawyers work smarter—not harder. Zack Glaser sits down with Graydon Trusler, a practical AI specialist and longtime law-firm operations pro, to explore how attorneys can use “productive laziness” to eliminate repetitive tasks, streamline case management, and reclaim valuable time. Graydon shares real examples from his family law firm, including how custom AI assistants help review discovery, prep hearings, analyze documents, and even support lawyers in the courtroom. Together, they break down privacy concerns, adoption hurdles, and simple ways to start using AI without getting overwhelmed. Discover why AI isn't a distant future—it's a powerful tool lawyers can start using today to improve workflows, reduce stress, and deliver better results for clients. Links from the episode: LexpertAI Listen to our previous episodes about Practical AI & Law Firm Efficiency: Episode #562: Beyond ChatGPT: The AI Revolution Happening Inside Your Firm, with Charreau Bell — Apple | Spotify | LTN Episode #565: Becoming the AI-Driven Leader, with Geoff Woods — Apple | Spotify | LTN Episode #577: Rethinking Law Firm Growth in the Age of AI, with Sam Harden — Apple | Spotify | LTN Episode #584: How to Stay Human in the Age of AI-Driven Law Firm Marketing, with Karin Conroy — Apple | Spotify | LTN Have thoughts about today's episode? Join the conversation on LinkedIn, Facebook, Instagram, and X! If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you. Access more resources from Lawyerist at lawyerist.com. Chapters / Timestamps: 00:00 – Introduction 08:45 – Meet Graydon 11:10 – Practical AI in Law Firms 16:40 – Myths, Fears & Privacy 19:00 – Real AI Workflows 23:00 – Productive Laziness 31:00 – AI in the Courtroom 34:45 – Faster Discovery & SOPs 38:50 – Flat Fees & the Future 45:13 – Closing Thoughts Learn more about your ad choices. Visit megaphone.fm/adchoices
Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM Practical insights on adopting Microsoft 365 Copilot and AI tools for real business impact. Learn how to identify quick wins, improve productivity, and master prompt engineering for better results.
This episode is a special crossover between the Practical AI podcast and The Changelog podcast. Chris was recently invited by longtime friends Jerod Santo and Adam Stacoviak, cohosts of The Changelog, to join them on the show. They discuss AI, drones, robotics, swarming technology, and the rise of high-performance edge computing with Rust. Chris points out that open source software, small AI models, and affordable hardware are making home automation and local AI accessible to everyone. From automating household functions to experimenting with drones and single-board computers, Chris describes how hands-on maker projects are shaping a bright future for physical AI, on small budgets and right from the comfort of your own home.Featuring: Jerod Santo – LinkedInAdam Stacoviak – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XSponsors: Miro – Get the right things done faster with Miro's Innovation Workspace. AI Sidekicks, instant insights, and rapid prototyping—transform weeks of work into days. No more scattered docs or endless meetings. Help your teams get great done at Miro.com.Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiUpcoming Events: Register for upcoming webinars here!This week we have extended show notes below from Chris!Swarming & Fully Autonomous Multi-Agent UxV SystemsChris's Definition of Swarming (anchor link in show notes)Chris's definition of Swarming“Swarming occurs when numerous independent fully-autonomous multi-agentic platforms exhibit highly-coordinated locomotive and emergent behaviors with agency and self-governance in any domain (air, ground, sea, undersea, space), functioning as a single independent logical distributed decentralized decisioning entity for purposes of C3 (command, control, communications) with human operators on-the-loop, to implement actions that achieve strategic, tactical, or operational effects in the furtherance of a mission.”© 2025 Chris BensonConceptual FoundationsSwarm Robotics – WikipediaHigh-level overview of swarm robotics as decentralized robot collectives.https://en.wikipedia.org/wiki/Swarm_roboticsSwarm Robotic Platforms – WikipediaSurvey of hardware platforms used in swarm robotics research.https://en.wikipedia.org/wiki/Swarm_robotic_platformsSwarm Intelligence – WikipediaBroader algorithms and theory behind collective intelligence (beyond robots).https://en.wikipedia.org/wiki/Swarm_intelligenceAnt Robotics – WikipediaNature-inspired “ant-like” robotics as a special case of swarm robotics.https://en.wikipedia.org/wiki/Ant_roboticsOpen Research & Multi-Robot Resources (Stepping-Stones Toward True Swarms)Programming Multiple Robots with ROS 2 (online book)Free book on multi-robot systems, ROS 2, and the Robot Middleware Framework (RMF).https://osrf.github.io/ros2multirobotbookSimulation with ROS 2 & Gazebo (ROS 2 Humble tutorial)Official tutorial on connecting ROS 2 to Gazebo simulation.https://docs.ros.org/en/humble/Tutorials/Advanced/Simulators/Gazebo/Gazebo.htmlSpawning Multiple Robots in Gazebo with ROS 2Hands-on tutorial to launch N robots in Gazebo, each with its own namespace.https://www.theconstruct.ai/spawning-multiple-robots-in-gazebo-with-ros2ROS 2 Multi-Robot Simulation Best Practices (Discourse thread)Discussion of patterns for multi-robot systems (domains, namespaces, Nav2, etc.).https://discourse.openrobotics.org/t/multi-robot-simulation-best-practices/38987Getting Hands-On: Consumer Robotics, ROS 2 & GazeboROS 2 (Robot Operating System 2)Official ROS 2 Documentation – Humble (LTS)Main docs for ROS 2 Humble (recommended distro) with tutorials and APIs.https://docs.ros.org/en/humbleROS 2 Installation Guide (Humble)Step-by-step install on supported platforms.https://docs.ros.org/en/humble/Installation.html“From Zero to Robotics Hero: A Beginner's Guide to ROS 2” (article)Beginner-friendly overview with ideas for where to go next (MoveIt, Nav2, multi-robot, etc.).https://riyagoja.medium.com/from-zero-to-robotics-hero-a-beginners-guide-to-ros-2-90ac9c3b87baROS 2 Tutorial for Beginners (2025 guide)Up-to-date intro that walks you from install to simulating your first robot in 2025.https://www.timesofexplore.com/2025/10/ros2-tutorial-beginners-build-first-robot-2025.htmlGazebo SimulationGazebo Sim – Official SiteModern Gazebo (Ignition) simulator; models, worlds, and docs.https://gazebosim.orgGetting Started with Gazebo (Docs)Official “start here” guide for using Gazebo and Gazebo Fuel assets.https://gazebosim.org/docs/latest/getstartedClassic Gazebo Tutorials (still useful for fundamentals)https://classic.gazebosim.org/tutorialsmicro-ROS (ROS 2 on Microcontrollers)micro-ROS – ROS 2 for MicrocontrollersOfficial site for running ROS 2 on tiny embedded boards.https://micro.ros.orgmicro-ROS GitHub OrganizationRepositories, examples, and tutor...
Today's guest is Derek, an educator at heart whose life journey—rooted in autism, ADHD, and dyslexia—has been shaped by a lifelong quest to transform confusion into clarity. Diagnosed at age 50, he finally gained the language, belonging, and understanding that helped him make sense of decades of feeling “different.” That clarity became his calling.Professionally, Derek's path spans the trades, automotive manufacturing, entrepreneurship, process engineering, and ultimately talent development—where he became the architect behind Amazon's highest-rated employee training program, earning an extraordinary 92 NPS and 4.92/5 rating.Today, he is the visionary behind Human-First AI, including his book, Human First AI, which lays out a powerful and accessible blueprint for building AI systems that augment humanity rather than replace it. His company, Practical AI, builds tools like Pocket Mentor, offering voice-based, just-in-time support so no one ever feels stuck, judged, or alone again.This episode explores what it really means to unlock neurodiverse brilliance—and how empathy and human-centered AI can change the way we learn, collaborate, and lead.
AI used to feel like a “someday” technology. Now it's a power tool founders can use this weekend to build real products, validate ideas, and even qualify leads while they sleep. In this episode, I'm joined by Cooper Simson of Martell Ventures to talk about the real front lines of AI: shutting down a profitable AI startup, spotting bad ideas in a hype cycle, and using AI to build, sell, and iterate faster—without getting lost in the noise.Topics we cover:When AI actually “caught fire” and why development is becoming commoditizedHow Cooper turned grant writing into an AI startup (and why he shut it down even though it was working)Practical signals it might be time to wind down your product or pivotThe difference between product validation and true product–market fitWhat Martell Ventures looks for in founders (domain expertise + speed of action)Common AI founder mistakes: copycat products, no defensibility, and one-and-done toolsWhy so many founders struggle with sales (and how to sell problems, not features)How to use AI to 10x your output: system prompts, voice-to-text tools, and AI lead qualifiersA simple 2-step playbook to go from idea → customer conversations → weekend MVPCooper's own “just get started” moment building a Shopify sales-tax tool for his fiancée's businessChapters:0:00 – Introduction1:30 – Cooper's first AI startup: grant-writing software in the “GPT 1.0” days 5:30 – Knowing when to shut down a ‘working' business (government risk, sunk cost, AI catching up)10:10 – Rapid Fire Q1: The Post-It note he'd give the next generation (“Just go sell”) 11:35 – Rapid Fire Q2: Mantra when things get hard (glass-half-full & keep the sail up) 12:30 – Rapid Fire Q3: Priorities when everything feels urgent (Eisenhower Matrix in real life) 14:15 – Rapid Fire Q4: Staying motivated when the wins are slow to come 16:10 – Rapid Fire Q5: Cooper's next Just Get Started moment (Shopify sales-tax tool for his fiancée)20:45 – What makes an AI idea worth building vs “because we can build it” 24:00 – Common founder mistakes: copycat AI, no defensibility, one-time-use tools & ignoring churn 29:15 – Why founders struggle with sales (and how to sell the problem, not the product) 33:30 – Practical AI for founders: voice tools, system prompts, AI callers & weekend MVPs 39:07 – Two concrete steps to go from idea → conversations → AI-built productFind Cooper Online:Website: https://www.danmartell.com/ventures/ LinkedIn: https://www.linkedin.com/in/cooper-simson-896957b1/ Instagram: https://www.instagram.com/cooper.simson/Find your host, Brian, online:Web: https://brianondrako.comLinkedIn: https://www.linkedin.com/in/brianondrako/If you're an early-stage B2B Founder, learn to “un-suck” at sales, one newsletter at a time:
Learn more about Advance Course (Master the Art of End-to-End AI Automation): https://multiplai.ai/advance-course/Learn more about AI Business Transformation Course: https://multiplai.ai/ai-course/Most business leaders are dabbling with ChatGPT and Claude, but very few are leveraging the right tools in the right way. The confusion between Custom GPTs and Projects could be silently costing you time, money, and momentum.In this solo deep-dive, host Isar Meitis breaks down the exact differences between Custom GPTs and Projects (in both ChatGPT and Claude), and shares real-life automations that have saved him and his clients hours per week — with no coding required.From sales automation to social media hooks to instant proposal writing, you'll learn what works, what doesn't, and how to implement powerful AI tools that actually do the job for you.In this session, you'll discover:How to choose between Custom GPTs and Projects for your businessReal examples of AI automations that cut hours off daily operationsA step-by-step walkthrough of building and deploying GPT automationsThe key differences between ChatGPT Projects and Claude ProjectsHow to organize persistent memory, files, and workflows for smarter AI collaborationWhen you shouldn't use Custom GPTs (and what to do instead)Why the newest update to Projects just made them a game-changerAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!
Discover how AWS leverages automated reasoning to enhance AI safety, trustworthiness, and decision-making. Byron Cook (Vice President and Distinguished Scientist) explains the evolution of reasoning tools from limited, PhD-driven solutions to scalable, user-friendly systems embedded in everyday business operations. He highlights real-world examples such as mortgage approvals, security policies, and how formal logic and theorem proving are used to verify answers and reduce hallucinations in large language models. This episode delves into the exciting potential of neurosymbolic AI to bridge the gap between complex mathematical logic and practical, accessible AI solutions. Join us for a deep dive into how these innovations are shaping the next era of trustworthy AI, with insights into tackling intractable problems, verifying correctness, and translating complex proofs into natural language for broader use. https://aws.amazon.com/what-is/automated-reasoning/
On this Special Edition podcast, we share a panel from DataTribe's Cyber Innovation Day 2025, "Cyber: The Wake of Tech Innovation." The podcast tech host panel included Dave Bittner, host of CyberWire Daily podcast, Maria Varmazis, host of T-Minus Space Daily podcast, and Daniel Whitenack, co-host of Practical AI podcast, sharing a wide-ranging discussion. Together, Dave, Maria and Dan examine the intersection of frontier innovation and cyber innovation through the lens of cyber, space, and AI. Learn more about your ad choices. Visit megaphone.fm/adchoices
Learn more about Advance Course (Master the Art of End-to-End AI Automation): https://multiplai.ai/advance-course/Learn more about AI Business Transformation Course: https://multiplai.ai/ai-course/Are you prepared for the moment when your AI tools fail—and take 20% of the internet with them?This week was one of the most explosive in recent AI history. From Google's jaw-dropping Gemini 3 release to a stealth drop of Grok 4.1, plus the Cloudflare crash that wiped out access to ChatGPT for hours — the implications for business leaders are massive.In this episode of the Leveraging AI Podcast, Isar Matis unpacks the seismic shifts that happened across the AI landscape this week—and what they mean for your business. If you're leading a team, scaling a company, or just trying to stay ahead of disruption, this is your AI cheat sheet.Bottom line: Ignore this week's AI developments, and you risk falling behind. Fast.
Practical AI co-host, Chris Benson, joins us to discuss the latest advancements in AI, drones, home automation, and robotic swarming tech. Chris defines "swarm" with detail/precision and it turns out that what most people are calling a swarm today is NOT a swarm!
Practical AI co-host, Chris Benson, joins us to discuss the latest advancements in AI, drones, home automation, and robotic swarming tech. Chris defines "swarm" with detail/precision and it turns out that what most people are calling a swarm today is NOT a swarm!
To gain the AI Prompts we use, please complete this form: https://bit.ly/4oCvgEqIn this episode, Dave and Nathan pull back the curtain on AI for note investors and seller finance creators. Fresh off the IMN Mortgage AI conference, Nathan shares how big mortgage companies are already using AI for underwriting, intake, call centers, and document review, while Dave walks through real, everyday ways he uses tools like ChatGPT in his own note business. From building amortization schedules and pricing notes at different yields, to summarizing 150-page collateral files, drafting social posts, and even brainstorming legal strategies for repeat squatters in Chicago, you'll see exactly how AI can become your on-call analyst, copywriter, and research assistant.
Is AI supposed to make things easier… so why does it feel like chaos?You're not alone. In this special episode of Leveraging AI, we invite you into the room where the real conversations happen — our live, unfiltered Friday AI Hangouts.Hear real business people share what's working, what's breaking, and what's making them want to throw their laptops across the room.
Welcome to The Capital Raiser Show — the podcast where elite founders, operators, and investors reveal the exact strategies they used to raise millions (and sometimes hundreds of millions) in private capital. In this episode, Richard C. Wilson sits down with Michael, a serial entrepreneur who scaled three different companies to seven-, eight-, and nine-figure exits — including a $104M exit in just 3.5 years. Michael breaks down: How he spotted a regulatory gap and executed faster than anyone else Why emotional intelligence, not pedigree, determines entrepreneurial success What he calls the PHD advantage: Poor, Hungry, Driven The hidden downside of fast wealth creation (and how he overcame it) How he raised millions after burning through his own first $500K The moment Family Office Club training flipped the trajectory of his capital raising Why AI will create the largest wealth transfer in human history How to spot operators who will generate repeat wins — not one-time luck The rise of the "silver tsunami" and the trillion-dollar baby-boomer business sell-off Practical AI applications he's using today across sales, operations, and revenue recovery Why he believes the next decade will split society into two wealth classes Richard and Michael also explore how speed, courage, and strategic relationships create asymmetric outcomes — and why entrepreneurs who embrace AI now will dominate their industries. This is one of the most actionable conversations ever recorded on the show for capital raisers, operators, and investors hungry to scale faster. ABOUT THIS SHOW The Capital Raiser Show uncovers real frameworks, deal structures, and investor psychology used by top-performing entrepreneurs, family offices, and private investors. No theory. Only what works in the real world. POWERED BY FAMILY OFFICE CLUB This episode is brought to you by The Family Office Club, the world's largest community of private investors. Our investor club offers: • 30 nationwide events per year • 10,000 registered investors • 40 proprietary AI tools for capital raising & investor intelligence Learn more or apply to join at: https://FamilyOffices.com
Are current AI models smart enough to rule the world — or just house cats with fancy vocabulary?This week, a tectonic shift is happening in AI: Meta's chief scientist Jan LeCun quits to chase world models, Fei-Fei Li launches Marble, a spatial intelligence engine, and DeepMind drops CMA-2, a self-taught gamer bot that might be the blueprint for AGI.Meanwhile, OpenAI releases GPT-5.1 — and China's Kimi K2 and Ernie 5.0 roll out shockingly powerful, ultra-low-cost models. The AI race isn't just about intelligence anymore — it's about who can afford to scale.If you lead a business, this episode explains why spatial intelligence, not language, may soon be your competitive edge. The next wave of AI isn't just about better answers, it's about deeper understanding, real-world interaction, and models that scale affordably. If you're not watching spatial intelligence, you're already behind.About Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!
Gaurav Bhasin is the founder and managing director of Allied Advisers, an M&A advisory firm whose principals have completed over 100 sell-side transactions for software and tech founders. After two decades in investment banking and tech M&A, Gaurav is a sell-side advisor to B2B software founders who have built successful businesses and want to explore selling their companies. Allied Advisers typically works with founders selling their businesses for $20M–$200M, helping them prepare materials, run a competitive process, and negotiate terms. We discuss how today's M&A market looks very different from the 2021 bubble. Valuations have normalized, deal timelines have increased, and buyers are more disciplined. But the demand for profitable, steadily growing SaaS companies is stronger than ever. Gaurav breaks down strategic and private equity buyers, what metrics matter most, how AI influences valuations, and why most founders underestimate the emotional and operational effort required to sell. For practical founders thinking about an exit in the next few years, this episode provides clear expectations and tactical guidance. Key Takeaways Profitable Growth Wins — Buyers prefer SaaS companies growing 20–50% with real profits over faster revenue growth fueled by burn. Metrics Drive Valuation — Net retention above 110%, gross retention above 90%, and >75% gross margins increase valuation and buyer interest. Run a Real Process — A single buyer gives you no leverage. Multiple qualified buyers improve pricing, terms, and closing certainty. AI Is Lipstick — But Real — You don't need to be AI-native. Practical AI that improves product, margin, or GTM still increases buyer interest. Quote from Gaurav Bhasin, founder and managing director of Allied Advisers "The good news for SaaS founders is that the private equity community has raised about $1.5 trillion of capital, and more is being raised. And they also have access to debt. So there's $7 trillion of dry powder to do deals. Private equity is not paid to sit on the cash. And they love recurring revenue software. "Private equity investors will typically move much faster than strategic buyers. Strategics will take a while. You need a business unit sponsor to buy into the vision, and then they will push the corporate to do the deal. But with the private equity, they will look at your financial metrics and if you fit in, they can move pretty fast. "The one caveat with private equity compared to strategic is they generally pay a little bit less than the strategics because strategics have established distribution and GTM for higher growth, so private equity will index more on the financials." Links Gaurav Bhasin on LinkedIn Allied Advisers on LinkedIn Allied Advisers website 2025 Vertical SaaS Report - Allied Advisers Podcast Sponsor – Fraction This podcast is sponsored by Fraction. Fraction gives you access to senior US-based engineers and CTOs — without full-time costs or hiring risks. Get 10 to 30 hours per week from vetted and experienced US-based talent. Find your next fractional senior engineer or CTO at fraction.work. You can start with a one-week, risk-free trial to test it out. The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding. A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.
Waymo's VP of Research, Drago Anguelov, joins Practical AI to explore how advances in autonomy, vision models, and large-scale testing are shaping the future of driverless technology. The conversation dives into the dual challenges of building an onboard driver and testing that driver (via large scale simulation). Drago also gives us an update on what Waymo is doing to achieve intelligent, real-time performance while ensuring proven safety and reliability.Featuring:Drago Anguelov – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Waymo ResearchNew Insights for Scaling Laws in Autonomous DrivingAI in MotionSponsors: Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at AGNTCY.org.Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiFabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at fabi.aiUpcoming Events: Register for upcoming webinars here!
What if stepping into your full power could actually be joyful? What if career transformation didn't have to be overwhelming? And what if your authentic voice could create ripple effects of impact far beyond what you imagined?In this episode, I sit down with Molly Mahoney, Founder of The Prepared Performer and a leading female voice in artificial intelligence who embodies all four of our core values: joy, ease, impact, and self-trust. She is a performer-turned-entrepreneur who helps coaches and agency owners create content that converts, powered by authentically driven AI and automation. She's an author and a podcaster who brings humor and heart to social media and firmly believes… the more fun you have, the more money you'll make.We dive deep into: ✨ Ease — Using practical frameworks to simplify complex decisions (like career transition) ✨ Joy — Finding fun in the journey ✨ Impact — Changing systems and amplifying women's voices ✨ Self-trust — Listening to our internal knowing over external validationKey Takeaways: How women's voices shape the future of AIWhat's it like being the only woman in male-dominated AI spaces (and why Molly keeps showing up!)Practical AI tools that amplify (not replace) your authentic voice + tips if you don't want it to read your emails! How to pivot your career using what you already have (using Molly's 3-step process)Validating your offer before investing time and resources (The "Sell It First" Strategy)Why "the more fun I have, the more money I make" isn't just a catchy phrase—it's a business strategyThe FFTT method for navigating life's challenges (Face it, Feel it, Twist it, Thank it)Why your "too much" energy is your superpowerIf you're in transition, building something new, or claiming your space in male-dominated industries, this episode is your permission slip to do it your way. ✨ Get Molly's Ideal Client Generator Tool —a custom AI resource that helps you get crystal clear on who you're here to serve: https://aiify.me/ideal-client-avatar?el=icagpt-well-woman✨ Watch out for the Well Woman Reset Kit
Great ideas are cheap. Great execution? That's where the magic is.In this *step-by-step session for business leaders, AI creator and strategist **Pietro Montaldo* will show you exactly how he goes from *a raw idea* to *a working AI prototype*—in just hours, not weeks. No code required. No technical background needed. Just the right tools, a smart process, and a little experimentation.You'll walk away with Pietro's full framework:✅ How to choose ideas that are worth building✅ How to match the right tools to the right use case✅ The exact steps he uses to create micro-apps that actually work✅ And how he turns them into high-performing content that attracts serious business opportunitiesPietro Montaldo is the founder of *N-Force, an AI automation and content strategy powerhouse. In just 90 days, he went from a few hundred to **10,000+ highly engaged followers on LinkedIn* by sharing the exact AI tools and workflows he builds himself. His hands-on approach helps companies and creators stop theorizing and start shipping. Expect clarity, wit, and a flood of practical insights. Follow Pietro on:Linkedin: https://www.linkedin.com/in/pietromontaldo/ YouTube: https://www.youtube.com/@PietroMontaldoAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!
Text us your thoughts on the episode or the show!In this episode of OpsCast, hosted by Michael Hartmann and powered by MarketingOps.com, we are joined by Tracey Fudge, AI Operations Architect and Agentic Workflow Designer at AI By Thrive. Tracey has spent the past several years working hands-on with language models, automation systems, and what she calls agentic workflows. She helps marketing and operations teams move past AI buzzwords and turn technology into practical tools that drive better results.The discussion focuses on how to build real, usable AI systems that enhance creativity, improve efficiency, and deliver measurable business outcomes. Tracey explains what agentic workflows are, how they differ from traditional automation, and how teams can start integrating AI into everyday work in a thoughtful, scalable way.In this episode, you will learn:How to apply AI and automation in practical marketing and operations use casesWhat agentic workflows are and how they create intelligent systemsTechniques for prompting and choosing the right AI tools for each taskWays to balance human creativity with AI assistance for better outcomesThis episode is ideal for marketing and operations professionals who want to make AI an integrated part of their workflow without losing the human touch.Episode Brought to You By MO Pros The #1 Community for Marketing Operations Professionals Join us at MOps-Apalooza: https://mopsapalooza.com/Save 10% with code opscast10Support the show
Learn more about Advance Course (Master the Art of End-to-End AI Automation): https://multiplai.ai/advance-course/ Learn more about AI Business Transformation Course: https://multiplai.ai/ai-course/ Is your company's next hire… an AI agent?This week, Federal Reserve Chair Jerome Powell quietly sounded the alarm: job creation is stalling—and AI is likely behind it. Meanwhile, OpenAI is writing trillion-dollar checks its revenue can't yet cash, and Apple's Siri might finally be getting a real brain… courtesy of Google.If you're a business leader navigating 2026 and beyond, this is the episode you can't afford to miss.From massive layoffs masked as "rebalancing" to the quiet data wars fueling generative models, this episode maps the uncomfortable truths—and powerful opportunities—every executive should be tracking.
Send us a textJoin the roundtable as we connected real-world AI use cases with key policy issues such as the defense of 1031 exchanges, local tax proposals, and persistent challenges around interest rates, affordability, and supply constraints that still drive market outcomes. Roundtable hosts stressed that AI should augment—not replace—experienced professionals, and that guardrails, privacy, and quality control must anchor any deployment.This month's Round Table Hosts: Andreas Senie, Host, Founder CRECollaborative (CRECo.ai), Technology Growth Strategist, CRETech Thought Leader, & Brokerage OwnerSaul Klein, Realtor Emeritus, Data Advocate & Futurist, Original Real Estate Internet Evangelist, Executive Editor Realty Times, IncRebekah Carlson, Founder & CEO Carlson Integrated, LLC, Past President NICAR Association, Brokerage OwnerChris Abel, Membership Director Associated Builders and Contractors of Connecticut, Board Member SMPS—Society for Marketing Professional Services Dan Wagner, Senior Vice President Government Relations at The The Inland Real Estate Group of Companies, Inc. Key PointsAI is now a practical necessity across real estate sectors, improving speed, accuracy, and efficiency when governed by strong data, privacy, and IP policies.California's enhanced-image disclosure law sets a compliance precedent likely to influence MLS listing practices and consumer protection nationwide.Bipartisan engagement remains vital: industry coalitions (e.g., 1031 exchange defense) must maintain relationships across the aisle amid shifting political dynamics.Enterprise-grade AI (e.g., Microsoft Copilot) reduces data leakage risks versus public tools; strict guardrails are essential for proprietary client data.AI standardizes documentation (e.g., construction bids), intensifying competition and necessitating deeper qualitative assessments, live interviews, and relationship-based vetting.Ethical marketing demands truthful representations, careful IP handling, and tailored prompting to avoid misleading content and legal exposure.Organizational adoption improves with designated champions, daily-use routines, chatbots/summarizers, and embedded documentation to accelerate answers and reduce friction.Access and adoption disparities (e.g., women 22% less likely to adopt AI) create equity challenges; education and support are needed to ensure inclusive benefits.Client-facing AI can irritate established relationships; deploy selectively with human touch and robust quality control.Macro fundamentals—interest rates, affordability, supply constraints—still drive real estate decisions; AI augments execution but doesn't replace market basics.About CRECo.ai RoundtablDon't forget to subscribe to our YouTube channel where there is a host of additional great content and to visit CRECo.ai the Commercial Real Estate Industry's all-in-one dashboard to connect, research, execute, and collaborate online CRECo.ai. Please be sure to share, rate, and review us it really does help! Learn more at : https://welcome.creco.ai/reroundtable
How do you market your book if you don't like social media or public speaking? What makes a nonfiction book stand out when there are already thousands on the same topic?How do you get real, unbiased book reviews? I invited Sarah Bean, an experienced book marketing specialist from the US, to have a chat about tips and strategies to market a nonfiction book. Enjoy the conversation!Links, books, and stuff we mentioned:Book Launchers: https://booklaunchers.com/Author Launch Kit software: https://authorlaunchkit.com/"Your Music and People" by Derek Sivers"On Writing" by Stephen King"Self-Publish & Succeed" by Julie BroadBook review services Sarah recommended: Get Books Reviewed: www.booklaunchers.com/gbrGet Authentic Book Reviews: https://getauthenticbookreviews.com/Gemsy: https://gemsy.io/Join Better Writers: https://fabiocerpelloni.com/privateTime stamps00:26 - Intro & guest: Sarah Bean (Book Launchers)03:25 - What a book marketing specialist does04:30 - Success vs failure: prep wins (+ Amani Roberts case)06:49 - Prep essentials: UVP, target reader, positioning08:02 - Foundations: website + ongoing content08:50 - If you're shy/off social11:29 - Unconventional tactics tied to passions14:12 - Start with goals18:22 - “I'm a writer, not a marketer”: audit your assets & network (Ellen story)22:53 - Tool: Author Launch Kit (AI plan, assets, media list)24:24 - Differentiate beyond personal story28:42 - “Outcome of the outcome”32:19 - Reviews = lifeblood; Amazon dynamics37:24 - Getting reviews41:27 - Self-Publish & Succeed43:52 - Practical AI uses46:35 - Audiobooks48:42 - Format strategy: offer print + ebook + audio50:28 - Why a unified team beats piecemeal freelancers51:49 - Book recommendations
How can AI actually increase donor trust rather than erode it? In this conversation, Bennett Weiner (President & CEO, BBB Wise Giving Alliance) speaks with Jeremy Kirshbaum (Founder, Handshake) and Ezra Vázquez-D'Amico (Director of Digital Partnerships & Strategy, BBB Wise Giving Alliance) about AskGive—Give.org's AI Powered Donor Advisor that helps people make wise, trust-centered giving decisions using Give.org's vetted resources. To draw out broader lessons on AI for the charitable sector, we cover why AskGive was built, how brand-safe AI is different from a generic chatbot, and what's next (structured charity data for cause-based discovery) while keeping donors—not algorithms in the decision seat. Key takeaways - Trust by design: AskGive only draws from Give.org's vetted content (charity reports, standards, advice), aligning AI answers with BBB Charity Standards and avoiding unverified sources. - Brand-safe AI is not the same as a generic chatbot: Tone, accuracy, and “no ranking charities” guardrails were co-designed with staff (from subject experts to frontline donor support) to reflect Give.org's culture. - Help donors act, don't decide for them: The tool surfaces facts, standards results, and advice—then puts the final choice back in the donor's hands. - Cause-based discovery for new donors: Younger/values-driven givers can start with “I want to support animal welfare” and move into credible options without already knowing a charity's name. - The Path From 70% to 100%: Spinning up a chatbot is easy; getting to on-brand, brand-safe, reliable, repeatable guidance takes custom work, evaluation checklists, and ongoing monitoring. - What's next for AskGive: Structured data queries (e.g., “Show me five BBB Accredited environmental charities in my state”) to give donors more relevant, self-directed ways to explore. Why this matters for nonprofit professionals and people who care about social good - Practical AI path: Start small with mission-critical content, define tone/guardrails, and set evaluation criteria early. - Trust signals win: Transparent sourcing and standards-aligned answers reduce friction for donors and strengthen credibility. - Human-centered by default: Keep people in the loop—let AI inform, not decide. Try AskGive: https://give.org/askgive
How do we move AI from hype to helpful in civil and site design? Live from AU 2025, ISG's Jason Douglas shares how connected workflows across Forma, Revit, Civil 3D, and ACC are becoming real; why fast, responsive partners matter; and how Dynamo scripts eliminated version ping-pong to save time in production. We dig into training at scale, automation wins, and what it takes to keep multidisciplinary teams in sync. You'll learn: How connected workflows across Forma, Revit, Civil 3D, and ACC are breaking down data silos in AEC Why practical automation—like Dynamo scripting—creates real productivity gains for design teams What strong partnerships and responsive support mean for successful tech adoption How AI is shifting from hype to helpful through applied machine learning and predictive tools Ways to keep multidisciplinary teams aligned and trained as technology evolves Why communication and collaboration matter more than ever in achieving digital transformation MEET OUR GUEST Jason Douglas is a CAD Manager at ISG, with roots in civil design and a passion for practical tech. After starting in architectural drafting, he shifted to civil, became a go-to champion for software adoption, and now leads standards, support, and training across platforms like Civil 3D and ACC—lately extending automation with Dynamo to boost team efficiency. TODD TAKES Connected Workflows Are Becoming Real For years we've talked about connected construction as a vision. Now, with tools like Forma and Revit integrating more tightly with Civil 3D and ACC, we're seeing the walls between disciplines start to come down. This isn't theory anymore—it's the beginning of a truly unified way to design, build, and manage projects. Partnerships Drive Practical Innovation Innovation isn't just about software features; it's about the relationships and support that make technology adoption possible. The right partner listens, responds quickly, and helps translate tools into outcomes. That kind of support accelerates adoption and creates measurable productivity gains across teams. AI and Automation Need to Deliver Value AI has dominated headlines, but the real impact comes when it moves from hype to reality. Practical applications—whether through automation in ACC, Dynamo scripts in Civil 3D, or predictive insights—are what will change daily workflows. The key is building trust in the technology so it's seen as a time-saver, not a risk. More Resources Thanks for listening! Please be sure to leave a rating and/or review and follow up our social accounts. Bridging the Gap Website Bridging the Gap LinkedIn Bridging the Gap Instagram Bridging the Gap YouTube Todd's LinkedIn Thank you to our sponsors! Graitec North America Graitec North America LinkedIn Autodesk's Website Other Relevant Links: Jason's LinkedIn ISG Website
Is your marketing ladder missing the first rung? Jason Rhoads (Rhoads Creative) joins Anya to break down why builders should fix websites and assets before throwing money at ads, and how AI search (AIO) is changing everything from discovery to conversion.We cover:-The Digital Marketing Ladder: the 8 steps -UX that sells: lead-gen flows, visual content, virtual tours, data-tagged assets-AIO to SEO? Preparing your site to “talk to bots” and win AI answers-Content that feeds LLMs without becoming AI slop (voice, structure, schema)-Analytics that prove ROI: CRM tie-ins, attribution, appointments → sales-Paid search today (rising CPCs) and what's next for social/TikTok search-Practical AI workflows: brand-tuned GPTs, faster content ops, better insightsIf you're a homebuilder or marketer wondering where to put budget in 2026, this episode gives you a ladder to climb: one smart rung at a time.Chapters: 00:00 Intro 01:05 Jason's path & why builders need better data 03:00 The Digital Marketing Ladder 06:10 Websites & assets: the #1 ROI lever 09:10 AI search and “bot-to-bot” readiness 12:20 From SEO to AIO: content that ranks in AI 20:05 Validating the AI recommendation: trust pages that matter 24:00 Visuals that feed AI (not just look pretty) 26:00 Measuring ROI with CRM + attribution 28:30 AI tools/workflows Jason recommends 31:00 What's next: TikTok search & beyond 33:00 One thing overwhelmed teams should do now 34:30 Where to find Jason
On this episode of #TheShot of #DigitalHealth Therapy, Jim Joyce and I had the pleasure of chatting with the globally minded and endlessly curious Alette Ramos Hunt, PhD, Global Director, Digital Innovation & AI for Drug Discovery at Novartis. From being a third culture kid (Danish dad, Filipino mom, born in Japan, raised in Hong Kong) to becoming one of the sharpest voices connecting biotech, digital health, and AI, Alette brings perspective that's as international as it is insightful. We explored her fascinating path from studying proteins in Glasgow to driving AI innovation in pharma, and how she's bridging the gap between molecules, humans, and machines. She reminded us that practical AI and game-changing AI both have a place - one makes us efficient, the other makes us dream bigger. It's an episode filled with humility, humor, and yes.. human intelligence - proving that even in a world of algorithms, empathy still leads the way. Fun mentions as always: Chandana Fitzgerald Jeff Weness Milind Kamkolkar [00:00-02:00] Bloopers, sunshine, and background banter. [00:03-05:00] Alette's third-culture upbringing — Japan, Hong Kong, Denmark. [00:05-07:00] Boarding school, biochemistry, and falling in love with proteins. [00:10-12:00] From academia to Pfizer — bringing science to life. [00:13-15:00] Leap to HealthXL — discovering digital health beyond the lab. [00:18-21:00] Entering Novartis — pre-ChatGPT AI strategy and innovation cycles. [00:22-25:00] Practical AI vs. game-changing AI — redefining productivity. [00:24-28:00] AI and drug discovery — startups, partnerships, and collaboration. [00:29-34:00] Lessons on open-minded leadership and partnering with purpose. [00:36-39:00] Jim's classic closing story and Alette's advice: Value your strengths, cherish your partners.
Thanks for listening, and please follow us on Insta @NHPTalent and www.youtube.com/thePOZcastFor all episodes, please check out www.thePOZcast.com Chapters / TimestampsJoey Lee — Panda Restaurant Group00:40 – Joey Lee joins: falling into TA & purpose of helping people02:36 – Scale at Panda: ~3,000 store openings; ~100 corporate roles03:20 – Org design: corporate TA vs. field recruiters03:55 – Budget realities & operator-funded recruiting04:25 – Boots-on-the-ground sourcing: competitors, BOGO cards, observing service04:56 – Hiring recruiters: “Tell me your story” & entrepreneurial mindset05:45 – From transactional to transformational recruiters (driver's seat)06:40 – Culture & authenticity: show up as your true self07:20 – Purpose-driven, people-first candidate experience (white-glove basics)08:35 – Tech & AI: transactional roles will be automated; elevate or be replaced09:41 – Digital recruiter clones? Promise and fears10:15 – Hot Takes: Open-to-Work ✅ | Sourcing vs. Closing (closing) | Referrals ~60% | Hot dog = sandwich | Favorite Panda orderRachel Allen — 7-Eleven12:06 – Rachel Allen returns: AI hype, compliance “gray zone,” and lessons learned13:25 – Don't start with an “AI strategy”; start with a business problem14:40 – Store hiring: 95% automated; leaders own outcomes; AI as enabler15:40 – Keep the interview human; automate scheduling & access16:30 – 24/7 candidates: assistants engage at 3am (Paradox “Rita”)17:30 – Workforce planning: total work vs. workforce; assistants as a channel18:40 – Data signals: speed, quality of submissions, retention, QoH19:41 – Internal mobility: removed manager-permission barrier to apply20:44 – Turnover trending down amid broader initiatives21:20 – Hot Takes: Always-be-closing from first touch; favorite interview Q: “Greatest misconception about you?”22:29 – Being human as the differentiator; team shoutouts & North Star24:22 – Where to find Rachel / 7-Eleven CareersBrandon Davis — Champions Group (Skilled Trades)24:40 – What Champions Group does; 2,500 employees, 19 brands25:30 – TA structure: divisions; early-career training programs (300 hires)26:10 – Sourcing where trades talent actually is: schools, military, word-of-mouth27:40 – Tech adoption: reduce fear by showing efficiency gains28:15 – Practical AI for recruiters: notes, summaries, reverse-engineering avatars29:10 – Brandon's path into TA (ops → marketing → HR → TA leader)30:32 – From “more candidates” to “better candidates” in two years31:15 – Quality of submission > quality of hire (and where TA ownership ends)32:57 – What makes a great recruiter: personality, storytelling, fast hook34:35 – What keeps him up at night: channel ROI & data-driven decisions35:19 – Hot Takes: Open-to-Work ✅ | Closing > Sourcing | Least-favorite Q: “What motivates you?” | Hot dog = sandwich | Where to find BrandonGreg Russell — CoverGenius36:20 – Greg Russell joins: coaching recruiters, storytelling & mindset37:41 – Burnout & rejection: give feedback at scale; never ghost after contact39:45 – ATS automation basics: close the loop, even with templates41:20 – Offer feedback with boundaries; avoid the endless loop42:28 – “Signal”: richer debriefs, calibration, transcripts > vague notes44:20 – Tech stack: ATS with built-in note-taker (transcripts/video in profile)45:40 – Debriefs aren't a democracy: hiring manager owns the decision47:11 – The AI bloom: noisy market now, consolidation later — lean in49:00 – What Greg hires for: storytelling + growth mindset + tech curiosity51:20 – Pay transparency song-and-dance & expectation management52:10 – Best career advice: treat people like adults; trust cultures win53:29 – Outro & where to find Greg
We explore how an AI-first approach transforms a legacy driving school's marketing, operations, and hiring while keeping focus on real-world outcomes. The big shift: recruiting becomes the growth engine, and local presence beats AI search for demand.• AI scheduling reduces travel time and increases daily lessons• Local marketing at scale through AI-powered research and print assets• Measuring lift via brand queries, CTR, utilization, and 10th-grade share• Nine test markets to validate and replicate winning tactics• Recruiting treated as marketing, led by clear personas• Retired educators deliver better training and higher lesson counts• Partnerships with online course leaders instead of head-to-head SEO• Focus on physical-service moat and first-principles metrics• Practical AI use: small daily wins over big-bang changesGuest Contact Information: Website: coastlineacademy.comLinkedIn: linkedin.com/in/renaud-delaquisMore from EWR and Matthew:Leave us a review wherever you listen: Spotify, Apple Podcasts, or Amazon PodcastFree SEO Consultation: www.ewrdigital.com/discovery-callWith over 5 million downloads, The Best SEO Podcast has been the go-to show for digital marketers, business owners, and entrepreneurs wanting real-world strategies to grow online. Now, host Matthew Bertram — creator of LLM Visibility™ and the LLM Visibility Stack™, and Lead Strategist at EWR Digital — takes the conversation beyond traditional SEO into the AI era of discoverability. Each week, Matthew dives into the tactics, frameworks, and insights that matter most in a world where search engines, large language models, and answer engines are reshaping how people find, trust, and choose businesses. From SEO and AI-driven marketing to executive-level growth strategy, you'll hear expert interviews, deep-dive discussions, and actionable strategies to help you stay ahead of the curve. Find more episodes here: youtube.com/@BestSEOPodcastbestseopodcast.combestseopodcast.buzzsprout.comFollow us on:Facebook: @bestseopodcastInstagram: @thebestseopodcastTiktok: @bestseopodcastLinkedIn: @bestseopodcastConnect With Matthew Bertram: Website: www.matthewbertram.comInstagram: @matt_bertram_liveLinkedIn: @mattbertramlivePowered by: ewrdigital.comSupport the show
Is the AI boom about to reshape the global power structure — and your business model with it?OpenAI just made its long-anticipated leap into the for-profit world — triggering billion-dollar investments, a trillion-dollar valuation trajectory, and a redefined power dynamic with Microsoft. But that's just one headline in a week filled with seismic shifts in the AI ecosystem.From Anthropic rolling out memory (finally) to Claude, to Canva dropping a free Adobe killer, to ChatGPT hitting 1M weekly suicide-related chats — this episode is a full-throttle ride through the wild frontier of AI, business, and ethics.Whether you're leading a team, shaping policy, or trying to future-proof your strategy — this is the episode you can't afford to skip.In this session, you'll discover: - Why OpenAI's restructure gives the nonprofit surprising control — and what that signals for governance - The trillion-dollar IPO roadmap (yes, trillion) and why SoftBank just doubled down - Microsoft's 27% stake in OpenAI and what it reveals about their AI dominance strategy - OpenAI's urgent call to the White House: “Electricity is the new oil” - How Claude is challenging ChatGPT with memory, portability, and frictionless context - Canva vs Adobe: Why a free Affinity suite might shake up the design software world - Music industry disruptions: OpenAI enters the AI-music ring with Suno in its sights - The billion-dollar legaltech boom and what it means for professional services - Crypto-trading AIs: Which models are winning with real money — and which are tanking - Why Google's new AI Earth tools could save lives (or at least predict cholera outbreaks) - What the rise of agentic browsers and multi-model orchestration means for your stack About Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!
Most optometry practices think AI is complicated, expensive, or years away from being practical. This episode proves otherwise. In this first-ever live build on the Power Hour, host Eugene Shatsman and AI consultant Abhi Bhattacharya (Amazon Alexa, Athenahealth, VSP Vision) create a working AI voice agent — from scratch — that calls and confirms patient appointments in real time. No long timelines. No big budgets. Just practical tools you can actually use. If you've ever wondered "Where would I even start with AI?" — this episode is your starting point.
Many leaders are trapped between chasing ambitious, ill-defined AI projects and the paralysis of not knowing where to start. Dr. Randall Olson argues that the real opportunity isn't in moonshots, but in the "trillions of dollars of business value" available right now. As co-founder of Wyrd Studios, he bridges the gap between data science, AI engineering, and executive strategy to deliver a practical framework for execution. In this episode, Randy and Hugo lay out how to find and solve what might be considered "boring but valuable" problems, like an EdTech company automating 20% of its support tickets with a simple retrieval bot instead of a complex AI tutor. They discuss how to move incrementally along the "agentic spectrum" and why treating AI evaluation with the same rigor as software engineering is non-negotiable for building a disciplined, high-impact AI strategy. They talk through: How a non-technical leader can prototype a complex insurance claim classifier using just photos and a ChatGPT subscription. The agentic spectrum: Why you should start by automating meeting summaries before attempting to build fully autonomous agents. The practical first step for any executive: Building a personal knowledge base with meeting transcripts and strategy docs to get tailored AI advice. Why treating AI evaluation with the same rigor as unit testing is essential for shipping reliable products. The organizational shift required to unlock long-term AI gains, even if it means a short-term productivity dip. LINKS Randy on LinkedIn (https://www.zenml.io/llmops-database) Wyrd Studios (https://thewyrdstudios.com/) Stop Building AI Agents (https://www.decodingai.com/p/stop-building-ai-agents) Upcoming Events on Luma (https://lu.ma/calendar/cal-8ImWFDQ3IEIxNWk) Watch the podcast video on YouTube (https://youtu.be/-YQjKH3wRvc)
This episode features Steven Martin, Chief Technology Officer at TRIMEDX, who shares how health systems can move beyond AI hype to achieve measurable results in medical device management. He discusses the importance of quick ROI, strong governance, and responsible innovation to optimize operations, reduce risk, and align technology with each organization's unique care philosophy.This episode is sponsored by TRIMEDX.
Join us as we welcome back Steve Greenfield (Automotive Ventures) for a sharp analysis of the shifting auto market. In this episode, Steve provides a crucial outlook for Q4 2025 and 2026, explaining why the EV softening and affordability pressures are defining the landscape, while the prime consumer remains resilient. He emphasizes that the future of mobility requires preparing for these market forces and tariffs. This video is essential for leaders focused on long-term strategy, navigating rising subprime default rates, and future-proofing operations.
Can one image really power an entire visual campaign — from product mockups to video ads — in minutes?Absolutely. In this episode of Leveraging AI, host Isar Meitis breaks down how a single visual asset can be transformed into high-converting static images, promotional content, and even multi-scene videos using one powerful tool: Weavy.Forget hours with Photoshop or coordinating creative teams — Isar reveals how to build a full visual content machine with no technical skills, no coding, and no graphic design background. Just drop your image, and let the AI do the rest.Whether you're in e-commerce, branding, or just want to playfully test new hairstyles on yourself (spoiler alert: Isar does), this is a must-listen masterclass on creative AI automation.In this session, you'll discover:How to turn one image into 10+ ad-ready visuals in minutesThe secrets behind automated, scalable visual workflowsHow to create full product mockups using only a logo and product photoThe AI tools Isar stacks to generate multi-scene videos from scratchA surprisingly easy way to generate photorealistic interior design editsThe fastest route from input to ideation to final visual assetHow to leverage AI templating + community knowledge to save hoursBonus: Isar tests AI hairstyles on himself — and it's gloriousTry Weavy today: https://weavy.ai?ref=isar12 About Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!
Could AI really pose an existential threat—or are we all just overreacting?850 tech leaders, researchers, and AI pioneers don't think we're overreacting. This week, they signed a chilling letter urging the world to pause superintelligence development—until safety can be guaranteed.In this solo Weekend News episode, Isar dives deep into the letter, the conflicting philosophies of AI's top minds, and what it all means for business leaders trying to stay ahead without stepping into a sci-fi dystopia.Plus: the battle for AI browser domination, Anthropic's enterprise blitz, GPT's awkward math flex, and the $1,300 humanoid robot heading to your kid's holiday wishlist.In this session, you'll discover:Why 850 experts—including Hinton, Bengio, and Branson—want a global pause on superintelligence developmentSam Altman's unsettling quote: “I expect some really bad stuff to happen…” Are AI agents the next big leap—or are we just not there yet?Claude vs. ChatGPT: Who's winning the enterprise AI war? Anthropic's new “agent skills” and what they mean for automation OpenAI's strange math claim that backfired—badly Meta's $27B bet on data centers and why they just laid off 600 AI staff Why Europe's AI spending is stalling OpenAI's new agentic browser—and why it might be their most important move yetThe $1,370 humanoid robot that could be the next must-have toyWhat Amazon's smart delivery glasses signal for AI-powered workforces Quantum computing breakthrough: 13,000x faster than supercomputers The AI bottleneck you're probably not planning for: inference and redundancy About Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!
In this episode of The Good Life EDU Podcast, welcomes Adam Spark, Nebraska native and co-founder of Short Answer, to discuss his journey from teaching at Louisville and Milford Public Schools to studying learning design and technology at Stanford University, where his idea for Short Answer was born. Adam shares how formative assessment research—particularly from Dr. Dylan Wiliam's Embedded Formative Assessment—inspired the creation of Short Answer, a digital platform designed to make peer feedback, writing practice, and student engagement more meaningful and fun. The two explore: The Nebraska roots that shaped Adam's journey—from the ESU 6 EdTech Leadership Cadre led by Dr. Lynn Herr to presenting at NETA. How Short Answer uses peer feedback, gamification, and comparative judgment to build literacy and critical thinking across all subjects. The role of AI in education, including both its risks and opportunities for literacy, writing, and teacher workload. Adam's concept of being a “radical centrist” on AI—recognizing both the benefits of AI efficiency and the challenges it poses to authentic literacy development. New features in Short Answer like “Pen Pals,” which use AI characters to help students debate and reflect on their writing. Practical AI policy, communication, and enforcement strategies for educators—featuring resources like: AI Trust You (from Laguna Beach USD) Brisk Teaching for revision-tracking in Google Docs SchoolAI for safe, monitored AI interactions The Red-Yellow-Green AI Policy Framework by Australian educator Adrian Cotterall The Washington OSPI AI Guidance Matrix, inspired by the work of Leon Furze and Mike Perkins Adam also shares his balanced take on how educators can help students develop AI literacy, writing fluency, and critical analysis skills—ensuring that technology amplifies learning rather than replacing it.
Are you prepared for an AI future where your job, your utility bill, and even your government are all impacted?AI is reshaping the world faster than most business leaders are ready for and this week, things got real. From Bernie Sanders' stark warning about 100 million lost jobs to OpenAI's surprising shift into personality-driven chatbots and possible erotica, the lines between innovation and disruption are blurring fast.In this news episode, Isar Meitis takes you on a deep dive into the top three stories shaping the AI-business landscape right now — with a rapid-fire roundup of everything else you can't afford to miss.In this session, you'll discover:Why Bernie Sanders' AI job-loss report might be politically motivated and still dangerously realThe true cost of data centers (think: a hundred thousand homes' worth of electricity)Why bipartisan protests against AI infrastructure are gaining traction and why they may still failHow OpenAI's new direction is raising eyebrows from erotica chatbots to creator IP fightsWhy Mechanize believes AI workforce automation is inevitable, and what that means for business leadersA16Z's latest insight: Software ate the world, now AI is eating laborWhat Salesforce's “AgentForce 360” is really about and whether it can save them from irrelevanceThe parallel between AI's IP wars and Napster's battle with the music industryWhy regulatory changes in California might be too little, too lateAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!