Podcasts about leveraging ai

Are you using AI to create more content—only to end up with generic output that sounds nothing like your company?The problem isn't necessarily the AI. The problem is often the context you give it. When AI understands your brand voice, audience, goals, expertise, and processes, it can produce dramatically more relevant and consistent work.In this episode of Leveraging AI, Isar Meitis sits down with content marketing and AI expert Brian Piper to break down how organizations can move beyond one-off prompting and build reusable AI systems that preserve what makes their business unique.Brian walks through a practical process for auditing your existing brand voice, building detailed prompts with AI, comparing results across different AI tools, and turning successful workflows into reusable skills.The bigger opportunity goes far beyond marketing. The same approach can be applied to repeatable business processes across an organization.In this session, you'll discover:Why generic prompting often leads to mediocre “AI slop.”How to audit what your brand actually sounds like across websites, newsletters, social media, podcasts, and other content.How to use the CRIT prompting framework to give AI context, assign a role, and have it interview you.How Brian uses tools including Claude, ChatGPT, and Gemini to compare AI-generated brand audits.How to turn a successful prompt into a reusable AI skill.How AI interviews can capture subject-matter expertise instead of replacing it with generic information.How organizations can build libraries of brand voice, personas, stories, research processes, and other reusable knowledge.Brian Piper is a content marketing expert who has worked across large corporations, small businesses, consulting, and academia. In recent years, he has focused extensively on helping organizations use AI more effectively while maintaining their expertise, identity, and brand voice.Connect with Brian Piper on LinkedIn:https://www.linkedin.com/in/brianwpiper/About Leveraging AIMulti-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-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/eventsIf 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!

Mark Young is the CEO of Ryze Agency, where he helps brands scale through world-class marketing, sharp product positioning, and operational clarity. Mark has built multiple successful businesses and has become a trusted advisor for founders looking to break through plateaus and expand into new markets.  He has recently published a series of 5 books titled the Ecommerce Brand Guide to the Galaxy with Benjamin Hardy.Highlight Bullets> Here's a glimpse of what you would learn…. Differences between selling on Amazon and Shopify, focusing on intent-based versus cold traffic marketing.Common misconceptions brands have about marketing metrics, particularly the focus on ROAS.Importance of understanding customer acquisition cost (CAC), lifetime value (LTV), and average order value (AOV) for sustainable growth.Strategies for increasing average order value through upsells and bundles.The significance of customer experience and retention marketing on Shopify compared to Amazon.The role of storytelling and brand identity in engaging customers on Shopify.Examples of successful and unsuccessful brand strategies in e-commerce.Actionable takeaways for brands looking to scale on Shopify.The impact of brand loyalty and customer relationships on long-term success.Recommendations for influential books and tools in the e-commerce space.In this episode of the Ecomm Breakthrough Podcast, host Josh Hadley speaks with Mark Young, CEO of Ryze Agency, about scaling DTC brands on Shopify. Mark explains the fundamental differences between Amazon's intent-based selling and Shopify's cold traffic environment, emphasizing the need for brand storytelling. He challenges the common obsession with ROAS, introducing the "holy trinity" of metrics: Customer Acquisition Cost, Lifetime Value, and Average Order Value. Mark also highlights the importance of retention marketing and authentic customer relationships, sharing real success and failure stories to illustrate how strategy, not tactics, drives sustainable e-commerce growth.Here are the 3 action items that Josh identified from this episode:Shift from “conversion” to “connection” Stop treating Shopify like Amazon. Build demand through storytelling, content, and brand experience—optimize for trust and engagement before expecting conversions.Scale with the right metrics (not ROAS) Track and optimize your CAC:LTV:AOV triangle. Aim for a 1:3 CAC:LTV ratio, and be willing to accept lower short-term ROAS to acquire high-value customers.Increase AOV + retention to unlock profit Bundle products, upsell, and improve post-purchase experience. Focus on repeat buyers (email/SMS, loyalty, CX) to maximize LTV and make your paid acquisition sustainable.Timestamps:00:00:38 Introduction to the E-comm Breakthrough PodcastThe announcer introduces the podcast, aimed at helping seven-figure e-commerce business owners unlock their full potential and growth.00:00:52 Host's Introduction and Guest WelcomeHost Josh Hadley introduces himself and the episode's guest, Mark Young, CEO of Ryze Agency and author.00:02:12 The Challenge of Scaling from Amazon to ShopifyMark discusses why brands successful on Amazon often struggle on Shopify, highlighting the fundamental differences between the platforms.00:04:15 Amazon vs. Shopify: Intent vs. Cold TrafficA breakdown of how Amazon is an intent-based platform, while Shopify requires cold traffic marketing and brand storytelling.00:05:57 Common Misconceptions Brands Have with AgenciesMark explains the two types of clients he encounters: startups who think they know everything and brands with agency trauma.00:08:20 The Problem with Over-relying on ROASMark details why Return on Ad Spend (ROAS) is a "fool's metric" and how agencies can manipulate it.00:11:02 The Holy Trinity of E-commerce MetricsMark explains the three core KPIs brands should focus on: Lifetime Value (LTV), Customer Acquisition Cost (CAC), and Average Order Value (AOV).00:18:24 The Importance of Average Order Value (AOV)Discussion on why an AOV of at least $50-$100 is crucial for profitability due to shipping costs and consumer psychology.00:21:09 Focusing on Customer Experience and RetentionMark argues that brands focus too much on acquisition and not enough on creating an impressive backend customer experience.00:24:49 The Mindset Shift from Amazon to ShopifyBrands moving from Amazon must learn to focus on customer experience and brand storytelling, which Amazon handles for them.00:28:11 Building a Relational BrandThe importance of creating a personal, relational brand on Shopify, as opposed to Amazon's transactional nature. People buy from people.00:33:19 Be the Guide, Not the HeroUsing the "StoryBrand" framework, Mark explains that brands should act as the guide (Gandalf) for their customer (Frodo).00:35:09 Case Study: A Successful Skincare BrandA brand succeeded by understanding its brand voice, embracing omnichannel marketing, and defining clear goals for its agency partnership.00:38:00 Case Study: A Failed BrandA brand failed due to a reactive CEO, a singular focus on top-line revenue, and training customers to expect constant discounts.00:41:38 Three Actionable TakeawaysJosh Hadley summarizes the key lessons: understand your brand story, focus on LTV over ROAS, and prioritize customer retention.00:44:03 Mark's Most Influential BooksMark shares his favorite and most influential books, including works by Donald Miller, Will Guidara, and Stephen Covey.00:45:12 Leveraging AI in BusinessMark discusses how his agency uses AI, specifically "Claude bots," to imagine a new kind of business, not just automate tasks.00:48:08 Who to Follow in the E-comm SpaceMark recommends following Alex Hormozi and Donald Miller and emphasizes the value of nano and micro-influencers over macro-influencers.00:49:16 How to Connect with Mark YoungMark shares where listeners can find him, his books, and his agency, and discusses his passion for helping entrepreneurs.Resources mentioned in this episode:Josh Hadley on LinkedIneComm Breakthrough ConsultingeComm Breakthrough PodcastEmail Josh Hadley: Josh@eCommBreakthrough.comTools and Websites  "Ryze Agency": "00:02:01"  "Shopify": "00:02:55"  "

What happens when the infrastructure powering the AI boom becomes politically toxic—just as businesses are becoming more dependent on AI?That tension is quickly becoming impossible for business leaders to ignore. AI data centers are facing growing public and political opposition, model prices are dropping fast, competition between the major AI labs is intensifying, and companies are getting more choices about where—and how cheaply—they can access intelligence.For business leaders, the message is simple: don't just follow which model is “best.” Pay attention to the economics, infrastructure, standards, and public sentiment shaping where AI goes next.In this episode of Leveraging AI, Isar Meitis breaks down the most important AI developments of the week and, more importantly, connects the dots around what they could mean for businesses.In this session, you'll discover:Why AI data centers have suddenly become a bipartisan political issue in the United States—and why public opposition could have much broader economic consequences.Why the backlash against data centers may have less to do with servers, water, and electricity than with Americans' underlying concerns about AI and jobs.How slowing data center development could affect U.S. competitiveness, investment, access to compute, and ultimately the economy.Why AI inference prices are falling rapidly and how the competition between OpenAI, Anthropic, Google, and Chinese AI labs is reshaping the market.Why businesses should stop assuming every task needs the most expensive frontier model.How testing cheaper models against your actual workflows could substantially lower the cost of enterprise AI.The other important AI releases and developments from a packed week in artificial intelligence.The AI race is no longer just about who builds the smartest model.About Leveraging AIMulti-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-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/eventsIf 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!

Dave Goyal, Founder and CEO of Think AI Corporation, is driven to Turn Disabilities into Unique Abilities by using technology to empower disabled entrepreneurs and help businesses unlock the value of their data. After contracting polio as an infant, Dave transformed physical limitations and early adversity into a passion for solving business problems, building companies, and giving back to society. Through Think AI, he helps manufacturing and healthcare leaders use data and AI to generate real-time insights, improve productivity, reduce costs, and create new opportunities for growth. In this conversation, Dave introduces The 3G AI Augmentation Framework—Gap: Where are we losing time, quality, ability, or capacity? Grow: Apply AI to augment people and improve that work. Glow: Institutionalize the solution so humans and AI collaborate effectively. Dave also shares how his private second brain and AI executive agents save him up to 80 hours per month, why human control and security must remain central to AI adoption, and how authority, trust, people, customers, and culture drive business growth. He also discusses his book, Real-Time Business Intelligence Mastery, and his vision for creating a venture studio for disabled entrepreneurs. — Turn Disabilities into Unique Abilities with Dave Goyal  Good day. Steve Preda here with The Management Blueprint. And today my guest is Dave Goyal, the founder and CEO of Think AI Corporation, which helps CTOs and CIOs in manufacturing and healthcare turn siloed data into real-time insights and automation, creating reduced downtime, increased efficiency, and going from weeks to days in project launches. Dave, welcome to the show.  Thank you for having me, Steve.  Well, I’m really curious to learn about you and your company, Think AI Corporation, but first I’d like to ask you about your personal why and how you are manifesting it in your business.  So thank you again, Steve. I’m really excited to be on your show. I’m in the data and AI business, and really tech innovation, for the last 30 years. In this particular company, Think AI, I have a partner, Manish Bhardia, and we both have been working very actively with Microsoft partners, the Microsoft ecosystem, and implementing data and AI solutions for midsize companies and manufacturing companies. You went on why, which is amazing.  My why: I’m a disabled entrepreneur. I have this hunger for building businesses. I’ve built nine businesses. We can talk about it later. And five of them were miserable failures in my books. Not all of them were that miserable, as I say. But five of them were failures, and I learned a lot from them. And I’m really motivated now to expand it further, to give back to small businesses.  We’ve been working with midsize and enterprise clients, but to midsize companies, and then motivate—I have a 15-year-old kid—so motivate young people and also small businesses to make use of the power of their own data and use and consume AI on a day-to-day basis. That’s my why.  Wow. So, to learn the power of their own data and use AI, why is this important to you?  The main reason is I am passionate about technology. Everybody is good at something. I am really good at solving business problems using technology. Being a disabled entrepreneur, I did not have a lot of luxury initially, even walking. Eventually, I started using braces, started going to different countries. So the passion became really the source of energy and motivation, and that passion is now going to a level where I want to motivate people like me who are disabled entrepreneurs and want to go into this kind of business. So my real passion is technology and giving back to society using technology, to sum it up.  Wow. So you mentioned this disabled entrepreneur. I’ve never heard this term. I mean, you talk about minority entrepreneurs, women entrepreneurs, you know, veteran entrepreneurs, and actually the government recognizes these categories, but I never heard about disabled entrepreneurs. So would you mind sharing a little bit about what happened to you and how you got into this entrepreneurship?  Sure, yeah. And that’s really good, by the way. I don’t see anybody else using that term but me, so probably I should keep it with me as a copyright term. Just joking on it. But having said that, every disability brings some kind of ability. That’s why sometimes they call it differently abled. When you have these abilities, you don’t know the source or the channels to use them. So, for example, blind people, they may have a lot of great listening power. That’s why they are into music most of the time.  Sometimes they have amazing reasoning and critical-thinking power, but they don’t know how to channel it, so they fight on a day-to-day basis with these issues. Bringing it back to me, I have polio. When I was six months old, I got hit by the polio virus. Initially, for a few years, I had to just lie down on the bed, had a lot of physical therapy. Then I was able to get up and sit, at least. Then my father was carrying me to school, and I could see the kids were going out and playing. I got beaten up because of that, too, because kids don’t understand. No fault of theirs that I’m not throwing the ball at them and they are playing.  And so that brought a lot of negativity in me. Eventually, my grandfather and my father helped me get over that, and I started channeling that into building businesses. So I started teaching music. I learned music through some of my friends. I started teaching music during my college days and started making money. And I had a blind friend, and he needed money because he was abandoned by his parents, so I had to help him out. I started making some money. I was doing well with my family, so I could just pay everything back to him. So that seed got planted there, and I didn’t know what to do back then, right?  Still a 14-, 15-year-old kid or a teenager, in this case. So I started getting into that mindset of, how about I build businesses for me and then start helping out the community? I’m still not there yet. I’m going towards helping that community. But I want to identify disability in three ways, not just physical. So those three are physical, but the bigger one is mental. A lot of people are really mentally blocked, and you see people, you know, “Oh, I can’t change anything in my life.” People die by suic*de. Kids get into depression. This is a form of disability, by all means.  I don’t think education, parents, and community are doing so much about that other than having a cliché thing that, “I was a victim of depression, so I’m doing that,” just to show off. But really, to help out the community in a methodical manner, that doesn’t exist. Second, physical disability, like I said, given by God sometimes, like war veterans and others, then you feel really limited. So what to do with that? And I come into that category, so I know that really well. Third is financial disability. So a lot of financial disability is in the mind, too. I’ve heard a phrase called, “You don’t die by hunger; you really die by indigestion.”  So you would find ways and means to make money even if you’re a completely disabled person. So I don’t think finance is an issue in general. So these three areas, to me, are the real disability areas. I’m obviously only working on one today, which is physical disability: how to identify the potential of people who can create something different within that limitation and then make a change in the world. So that’s the motivation. That’s my Life 2.0, where I’m moving now. Love it. Love it. So how did you have time to build nine businesses?  I started it in 1993, ’94, I believe, or ’95, I think. And they’re one at a time. Today I have about three. I sold one. And yeah, I did not have time. One of the big challenges when I built these three in the last six, seven, eight years, the biggest challenge I faced is I do not have time for working with customers, which I love to do—talking and listening to their business problems, solving those problems. I end up doing a lot of operational work.  Post-2020, and it’s a very blunt thing to say, people got lazy. They want to change jobs, make more money, do moonlighting, do multiple things, but not work hard like we did back in the days. And that kind of pushed all of us small businesses to do a lot more management of resources, especially human resources, in a distributed environment. I have teams in India, the Philippines, Canada. So that became a bigger challenge. But having said that, AI came as a savior. In the last 18 months, AI has changed quite a lot.  And if you don’t go into a debate of whether AI is good or bad, or you’re a skeptic or an enthusiast, AI can really help you if you really put together how it can help you. It should not replace you, but it should give you an additional helping arm. In my business, I started deploying C-suite. So I still have a VP of operations. My business partner is into sales. But then I started filling in other functions, like a fractional CFO, as an example. My fractional CFO is monitoring my top line and bottom line. I call him Felix. I have to give names to AI agents.  So Felix is actually looking on a weekly basis at what invoices are billed, if we have vendors or employees, what we need to pay, where our expenses are going, what’s the monthly or maybe six-month cash flow run. Are we within limits? Do we have borderline cash availability so that we can survive? So it started to do a lot of things. But not only that, because we are feeding our own data, our own mind, I have built my own second brain. It started to read off of that and started giving me insights that a human would not give me. And even if I hire a fractional CFO, he will only hear what I have to say, look into some of my books, and then give me some blanket suggestions.  Here, this is really tailor-made to our problems, our situation, and it worked phenomenally well. So I’m building that as a product now. It’s not done yet. Then I also deployed my own CMO called Sasha, and she started to look into my marketing angles, my branding, my voice, my identity. I love writing, but now AI can help me—not just create a blanket AI post or something, but really read how I write, what I write. So I create ideas. It helps me research, does a factual check on it. So I give 100 words. It can take those ideas and then expand into newsletter articles or a big campaign.  I can start building different case studies for our customers, proof of concept, building podcasts such as these. So this started freeing up—I only talked about two executives, and I have seven of them—but they started to help me free up my time. And believe it or not, I am getting about 40 to 60 hours, and in good months, about 80 hours per month. So 30 to 50% of my regular time is freed up. So that time is now going into this movement that I’m thinking about, which is disabled entrepreneurship.  Wow, that is impressive. So tell me a little bit about this. This is a podcast of frameworks. So do you have a framework for maybe launching an AI agent like that?  I definitely do, and I want you to expand on it. But in terms of what I have, I look into three things. Where is the gap in terms of human? Where I see either performance issues, quality issues, or availability and capacity issues. So what are those things which don’t hit my security side of things, don’t interact with my customer, and still help me in my operations? That’s the gap we look into. How can we use and fill that gap to grow what we need to work on? And then last, so I use three Gs with my last name, Goyal, right? So Gap to Grow to Glow.  So now how can we use this in our business to glow and create an environment where even humans can interact with this AI persona? So we are always big on human-in-the-loop or human-in-control with any AI solution. So it always starts with the gap. Where is the gap? Where is it taking time from one of the human sides of our team?  I like that. I like that you isolated those things which are less risky to develop, because I think a lot of people are held back by this idea that it’s a black box, you don’t know what you’re getting into, you don’t know what you don’t know, and it’s risky, and then they don’t do anything.  But you actually isolated that customer interaction is a risk you don’t want to live with right now, and security is another one you don’t want to, which, I mean, it’s obvious. But if those are not hurt, then really what is the risk you’re running? So I like it. So how do you fire up an AI agent like that?  So in terms of technology, I’m using a few things. I’m using Claude Code, the full Claude environment. So we build it off of that. Back in my days, I worked as a white-hat hacker, so the security angle we mentioned, I’m always so worried about hacking and security. So I have a completely isolated environment at my home on a Mac Mini, a really powerful Mac Mini, and that cannot go out on the internet and do things. And nobody can inject anything.  But then I still need to feed information to it, so I have another machine where the only job of that machine is to provide information to this system. So I have my own second brain mapped into Obsidian, which is a note-taking application, but it’s really organized. So I first fed all my knowledge. I’ve recorded lots and lots of audios and documents, and it has learned. So I built that system first, like Dave’s second brain. And my second brain has learned everything about me. Nobody can see it but me. That’s my initial basis, right?  After that, I built a working memory for my agents, for my company, and I’m doing it for one company at a time. Think AI is not completely live on the system, but Data & AI Studio is, which is a solo entrepreneurship business that I have. It is learning everything about that business as we speak. Even the transcripts from these podcasts and other places go into it, and it learns from it. There will be some insights which it will find, so it retains them. So Claude Code, Mac Mini, Obsidian—these are the basis. And then I’ve deployed my own personal models, like DeepSeek, and that is sitting locally on that machine.  So the model is local. The downside is it’s not getting updated, so I only update it when I feel that it’s right. Not risk, it’s really the downside. There’s no risk in it. So you’re not on the latest and greatest, but you don’t have to be on the latest and greatest all the time. So Claude Code is on the latest and greatest, but when we deploy, it may not apply certain features that Claude Code is making available. And that’s fine. That’s the risk I’m taking. That’s the trade-off I’m taking. And the system is working great for the last six months.  In the last 18 months, even though I started AI about 28, 30 years ago, the last 18 months is when I learned the new-age AI, and the last six months is when I started building this in an iterative manner. And it is pretty stable now. It can do a lot of things like I mentioned. So your agents are running on your Mac Mini off the grid?  Yes.  And then you’re feeding information with another computer to it to essentially give them the raw material from which they can build stuff, right?  Right. A good example there, if I may expand: we use QuickBooks in our accounting system. It cannot read QuickBooks directly, but we, being a Microsoft partner, understand technology. I can write a job which can push data into the Mac Mini. It doesn’t read off of it. My Mac Mini, which has the agent, doesn’t know where that data has come from. It has the data, so it’s already synthesized.  It cannot communicate with others. So that’s the calculated risk we take, right? Getting the data from one angle, one way, and then it’s synthesizing and analyzing data and getting insights out of it. So that’s the balance of systems that I have.  I love it. That’s very clever. And what is your main business anyway? Because you talk about three businesses right now. What is your core business? What is your flagship business?  The flagship business is Think AI. It’s a consulting organization, a three-time Inc. 5000 winner in terms of growth. We have our own team, but then we also use a lot of vendors which are qualified by us throughout the world. And we are Microsoft Advanced Specialization partners. What that means is we are in the top 2% of the worldwide partners within the Microsoft ecosystem, which is about 500,000 partners. And we work mainly with midsize manufacturers, and sometimes healthcare if they are okay and open to AI, and if not, data. So we go in there, look into whether they have a data and AI strategy.  If they do, we work on their initiatives. If they have the initiatives. If not, we create the initiatives for them by doing some POCs and whatnot. And once we get engaged, we do deliverables like consulting services. But it’s not like typical consulting services where you place a resource. It’s really a value-based delivery model where we try to understand two business imperatives. One is what can help them make more revenue. And if we cannot find that, what can help them be more productive and have cost-cutting in one way or the other.  So these are the two main business imperatives we work on. When and if we align with that, then we give them a roadmap, a phase-wise approach, which they can do with us or with somebody else, and then we keep delivering on it. So that’s the whole model.  So what drives growth in the Think AI business?  I mean, finding more customers, to say the least. And that becomes difficult because today everything is becoming a commodity. So one good learning, by the way, I need to share with the audience here. When you’re a small business, you think your brand is the value that you have. It’s the founders who are the brand. So it’s Manish and me. Manish, my business partner, is really big in productivity, project management, and that kind of thing. And I’m really good at building solutions using tech. And together we have about 55 years of experience.  And then our key team members are ex-Microsoft or MVPs, Microsoft Most Valuable Professionals. So we hire a really strong key team. And the team below, we can either fill with our members, hire our own members, or go to the vendors also, and we tell it to our clients also. So our delivery model is we are the ones who are delivering. The guarantee is taken by Manish and Dave, not by Think AI. We have gotten into that situation. We are about 95% successful, so there’s a 5% failure. And the failure is either because we have the wrong team member, the communication between the client and us was not clear, the scope was not clear, the definition of value and done was not clear, and we have learned from it.  So our business model is towards that, and that brings us growth because we work with a number of partners. Manish is part of a lot of Microsoft channel partner networks. We provide complementary services to those partners. So one channel is we work with a lot of partners because the trust is there. Authority and trust are the two factors we have understood which establish your business, and it’s the founders’ authority and trust, not the company. Company will build on its own. So we started building our own authority and trust, and that gets us growth. It’s not at the level we’d like, but we are happy.  You are happy. Okay. So what is your vision? What would you like to make out of this?  So we have an exit plan, at least on Think AI. And like I told you, Manish has his own. That is up to him. For me, I want to create this venture studio for disabled entrepreneurs, get the funds from here, and then harvest, go across the world. So three hobbies I have.  One is travel. Second is reading, writing stuff, books. And third is music. And entrepreneurship comes in this whole surroundings, in this whole ring, so it’s the foundation of it. So we’re going to build this disabled entrepreneurship venture studio with a little bit of funds from our exit, and hope to grow there and hope to retire or die with that thinking.  Love it. Love it. It’s fascinating. So you have a book that is on your LinkedIn page, Real-Time Business Intelligence Mastery. So tell me about this book. Why did you write it, and what’s it about?  Sure. So we went into a coaching program. Up until 2022, we were arrogant enough to say, “Oh yeah, we can do everything on our own.” And then slowly we realized we need help, and we started taking help. We went to a couple of coaches in India where they were coaching us either on how to manage operations and operational excellence, and then another coach who’s like a life/building-your-brand marketing coach, and he inspired us to write a book.  Now, I’ve been writing in my own native Hindi language, songs and compositions, but writing a book was a dream, and I thought it’s a big undertaking. But with their little bit of motivation and help, not in writing, but in the angle of what a book can bring. So I have a lot of experience working in midsize manufacturing organizations, working with CTOs and CIOs, and business intelligence is delayed. So it’s either a one-day delay or a week delay or a month delay, and it’s more reactive in nature.  So the book was more about how you can build a real-time business intelligence culture so that you can get the insights from your data, make actionable insights, take actions on it, and grow your business for those two imperatives I talked about, which is grow your revenue or increase your productivity and decrease your cost.  So are you writing about some of the things that you talked about? Leveraging AI, building AI agents?  It has more about—so I wrote it in 2022, I believe. It has a lot more detail about. AI was not as popular, right? I mean, I did write about AI in it, but it was more about building a data culture than AI. It does talk briefly about AI because real-time is going very closely with AI. That’s the enabler for AI insights or data insights through AI. So it does talk a little bit about AI, but it talks more about tech leaders like CIOs and CTOs. What do they need to do? How do they need to build a culture around harvesting data, bring the data, build the team, where to take it? So it has those details.  Okay. That’s fascinating. Who is this book for? Is it for founders? Is it for C-level executives? Who is the target?  Like I said, it’s for tech leaders, CIOs, and CTOs of midsize organizations.  Okay. That’s awesome. And these are the people that are your target customers as well at Think AI?  Yes. That’s our true ideal client profile too, and that’s whom we have worked with all our lives. So they’re close friends, target audience, and customers. Future customers and current customers.  All in one. All in one. That’s so nice when you write a book to your friends. That’s a very cool concept. So let me ask you this, Dave. If you had a magic wand, you’ve done a lot of things in your business, you built nine businesses. You learned from some of the failures that you had, which is part of entrepreneurship, and now you created AI agents, and then you have a second brain, and you’re leveraging all that technology. So if you had a magic wand and you could fix one thing in your business in the next 12 months, what would that be?  I wish I had more senior leadership. Any business works with delegation. We have a couple who are really amazing, and they wear a lot of hats. But growth depends on three things, right? Being in front of the right customer, having the right team, and having the right product. Our product is people, unfortunately and fortunately. Customers, we are very happy and excited, and they trust us. We know how to get to them. We know how to create value for them. We are very satisfied. Everybody would say, “I need more customers,” and we would do that too.  But I think more important is what product you are offering. So then people are what we are offering, and we are competing against big ones like Accenture and Avanade and Cognizant of the world in our business, the tech consulting business. But then we are not competing against cost; we are competing against value. So how do you create value? You find a valuable customer. They understand our language. The next level is, where is the product, which is the people? And that management becomes quite difficult. And harvesting and getting the right people in place is a job by itself.  So kudos to those large companies if they’re harvesting one, although that’s debatable because when we go to the client, they complain a lot about their resources as well. So harvesting the right product and the right team is the key. And how do you do that? If you have the right leaders on top. Two partners alone cannot do that. So building more leaders underneath is the key. We are able to build a few, and I wish we could build a lot more. So when you have the right core team, your growth comes in, is my belief system. It could be different for everyone else.  No, I think it’s a very deep insight, and very few people actually talk about this idea that the purpose of a business, especially in today’s AI age, is to build leaders. That’s your purpose, because people will take care of everything. They’re going to run your AI agents. They’re going to manifest your vision. But you can’t have just AI agents in a company, right?  Because then the mental load is so much on the leader, and then the single-person dependency becomes critical. So is this what you mean by this? Where do you come from with this idea of harvesting people and leaders in the business?  Absolutely. You said it well. Building leaders doesn’t just apply to an organization, whether small, medium, or big, but even to countries. If you don’t have the right leaders in place, it’s going to bite you back. And all cultures, some of the top management consultants will teach you to go into succession planning. That is what they really mean by that.  It’s not succession planning by, okay, replace a CEO with a CEO. It’s the mindset. Apple is a great example of it. Steve Jobs hired Tim Cook from Compaq, from that world, and he had that vision. Obviously, he had a mission, but he had the vision—who to take, where to take, and what they would do. And that legacy continues even today. So Apple didn’t change a single bit in their model. And people would argue and debate, and that’s fine.  But when I see it from my eye, he built a great leader. When he did that, the company stayed the same, right? So it’s not about what products Apple is creating today, whether it’s iPhone or iPad or Apple Vision Pro or some of the other things that they are doing, but it’s really that leader. Same thing went with Google, or Microsoft, Satya Nadella. And you see the right leaders were built by these founders. And by any means, we are not that big, and hopefully we can get to some place which is pretty good in our books.  But finding and building the right people, it gives you a lot of satisfaction, happiness, bliss, if you can give it back to somebody who’s capable enough. And I’m always in hunt of the right people, building the right team in place.  It’s so interesting you mention Apple because when Isaacson came out with the Steve Jobs biography, he said, basically, I think it’s in the preamble of the book, that Steve Jobs wanted people to remember him not for the products that he created, but the company. So his biggest contribution was creating a company. And I didn’t get what he meant by it.  But if you witness the last—since he died 13 years ago—the last 13 years, this company has gone from strength to strength. Ninety percent of its market capitalization has been created since he died, right? So it keeps growing and keeps going from strength to strength, and that is the culture and the people that he built. This is the company he built. So it’s quite an amazing idea.  I was about to comment on company. Something came back to me or reminded me that companies generally build on three pillars: customer, people, and culture. And if you don’t have the right balance of it—so, the right people, but if you don’t have the right culture, they’re going to run away. If you don’t have the right customers, you should have the ability to say no to certain types of customers too. Like Apple never targeted small, cheap products.  And when I say cheap, meaning which doesn’t have the right quality in place, not about the cost. It’s always cost versus quality. So they have really struck the right balance in those three angles, and I think that’s the right way to do it. Some are able to do it, some are able to push through to do it, and some are not. But that’s where I think the focus needs to be if you are a founder. Find that right balance of people, client or customer, and culture.  Yeah.  And that is your core values too.  Yeah. I agree with you. That’s wonderful. If you are listening to this conversation with Dave Goyal, and you would like to learn more about him and what he does and Think AI Corporation, where should our listeners go to learn more?  Thank you for this opportunity, first of all. And people can find me on LinkedIn by my name, Dave Goyal. I’m very active there. I recently started a YouTube channel with the name Dave Goyal, so you can find me on YouTube. And mainly on LinkedIn, I have a newsletter on AI, and I’m pretty passionate about what’s happening in AI.  So I even publish AI news this week, but with a different angle, a builder’s angle in mind. And last but not least, you can connect with me through LinkedIn for a 15-, 30-minute call. No angle there. I will just come and help you if you really want to do something with AI. I can listen to your challenges or your fear of missing out, if that’s the case, and tell you if AI is the right fit for you or not, and what you can do on your own also. And if you need our help, we are happy to.  That’s fantastic. So take Dave up on his offer, which I think is very generous. And obviously, Dave, you know what you’re talking about. You built a second brain. You’re running AI agents. Your C-suite is chock-full of AI agents, which is very impressive. I’d love to learn more about this myself.  So if you’re curious about that, make sure you book a call with Dave or check out his stuff. Where is your newsletter? Is it a Substack? Where can people find your newsletter?  It’s on LinkedIn. It’s called Data & AI Demystified in my profile.  Okay. So that’s easy. So we can go to Dave’s LinkedIn profile. And if you enjoyed this conversation, make sure you subscribe and follow us on Apple Podcasts and YouTube. Give us a review because every week I bring in a couple of exciting entrepreneurs like Dave who share their favorite frameworks with you. So Dave, thanks for coming, and thank you for listening. Important Links: Dave's LinkedIn Dave's website

What if the biggest thing stopping you from building your next great idea is a limitation that AI has already made obsolete?Until recently, turning an idea into a working application meant developers, product teams, infrastructure, budgets, and plenty of technical expertise. Today, AI tools are dramatically lowering that barrier—and Bryce Rattner Keithley is proof.Bryce had no software-development background when she started experimenting with a simple idea: an app that would give her one exercise every day and track 100 repetitions. Using tools including Replit, Lovable, and Claude, that experiment became Daily100, an application now available in Apple's App Store.The lesson for business leaders goes well beyond building apps.You don't necessarily need to understand how every piece of technology works to start creating with it. You need to know what problem you're solving, ask good questions, exercise judgment, and be willing to iterate.In this session, you'll discover:How Bryce went from a simple personal problem to a working application without knowing how to code.How tools such as Replit and Lovable can turn plain-English instructions into functioning software.Why a beginner's mindset can actually become a competitive advantage when working with AI.Why asking AI to question you can dramatically improve your product requirements and decisions.How Claude helped her work through the process of preparing her Replit application for Apple's App Store.Why AI can get you to 80% remarkably quickly—and why the final 20% still requires human judgment.Why screenshots, sketches, and visual references can sometimes communicate your vision to AI better than another 500 words of prompting.Bryce Rattner Keithley has spent much of her career in talent and recruiting, including technical and design-related recruiting. Her experience working alongside technologists—without being a software developer herself—helped shape the beginner's mindset she brought to building Daily100.Connect with Bryce on LinkedIn:https://www.linkedin.com/in/brycerattner/About Leveraging AIMulti-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-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/eventsIf 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!

Spiritual Filter. What's SHE Up To Now Day 3129? Supersize Challenges, AI, Catch up...! Join us every day in 2026 for a quick challenge that is all about you Improving and creating the life you want! https://www.facebook.com/ThrivingSharon Ask your questions and share your wisdom! #supersize #lessonslearned #missedopportunities #decisionmaking #beabetteryou #personalgrowth #developskills #uncoverwhatis #giving #coaching #scaling #supersizechallenges #howcanIhelp #contribution #AI #coaching #exhausted #burnout #skoolcommunity #community #spirit #communityspirit #spiritualfilter #supersizechallenges #beselective Learn the spiritual aspect of business and how energetic components impact your results. Discover why ignoring these forces limits your success. This session is part of the Supersize Your Business Annual Challenge. Sharon Horne-Ellstrom examines how business energy functions as a practical tool for growth, whether you acknowledge it or not. If you are an entrepreneur looking to align your operations with deeper principles, this discussion provides a grounded perspective on integrating spirituality into your daily workflow. We break down how the spiritual aspect of business influences decision-making and long-term sustainability. By understanding the energetic components of your work, you can shift your approach to professional challenges. This video is designed for those participating in the challenge who want to maximize their results by addressing the often-overlooked side of commerce. Subscribe for daily business growth challenge updates, and comment below on how you incorporate spiritual business practices into your current routine. 0:00 The Power of Your Spiritual Filter 1:22 Applying the Super Framework 4:11 Leveraging AI as a Growth Tool 5:40 Experimenting with Content Creation

What happens when AI stops being impressive in demos—and starts helping us fight cancer, transform how companies operate, and attract hundreds of billions of dollars in investment?That shift may already be underway. This week brought some of the strongest signals yet that AI's impact is moving beyond better chatbots. From personalized cancer treatments and dramatically earlier detection to autonomous business workflows and AI-powered scientific research, the conversation is increasingly about measurable outcomes.For business leaders, there's an equally important takeaway: the competitive advantage may no longer come from choosing the “best” AI model. It may come from giving AI the right context about your business.Anthropic's own sales team provides a striking example. By connecting Claude to systems including Salesforce, Apollo, Common Room, and Gong, the company reports cutting manual work by 70%. The lesson is simple: smarter models help, but AI becomes dramatically more useful when it understands your data, workflows, processes, and preferences.And that's only the beginning.In this session, you'll discover:Why new developments in personalized mRNA cancer treatment could represent an important milestone for AI-assisted healthcare.How AI is helping researchers detect and understand cancer earlier and with greater precision.How Anthropic is using AI workflows to reduce manual sales work by 70%.How AI systems are beginning to learn the way people work and turn repetitive activities into automations.How increasingly capable open models could dramatically change the cybersecurity threat landscape.How AI is accelerating drug discovery and complex scientific analysis.How AI-assisted coding and agentic development continue to change software creation.Why an extraordinary amount of capital is flowing into AI infrastructure and applications—including a proposed $500B financing platform around NVIDIA infrastructure, Databricks' $5B raise, and major funding rounds across the ecosystem.About Leveraging AIMulti-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-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/eventsIf 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 talk, Radovan Bacovic, Principal Data Engineer and Snowflake/dbt Ambassador, shares his two-decade journey, from traditional database administration to leading modern data platform engineering. We explore the essential building blocks of scalable data architectures, the trade-offs of no-code solutions, and how to effectively integrate AI into your data pipelines while maintaining strict security and governance.You'll learn about:- The evolution of the full-stack data engineer over the past two decades.- Building scalable, business-driven data platforms without premature optimization.- Efficient data modeling and transformation using DuckDB and dbt.- Leveraging AI to accelerate pipeline development and launch data products.- Implementing enterprise data governance and robust pipeline security.- Balancing no-code integration tools with strict DataOps methodologies.LINKS:https://gitlab.com/radovan.bacovic/wsc26_dataops/-/blob/main/README.md?ref_type=headsTIMECODES:0:00 Data Engineering Career Trajectory and Industry Experience6:37 Full Stack Data Engineer Role Evolution and Responsibilities14:45 Scalable Data Platform Architecture and Business Alignment21:59 DuckDB Integration and Premature Database Optimization Avoidance30:04 Data Pipeline Transformation and Data Modeling with dbt35:31 Modern Data Platform Ecosystem and Infrastructure Orchestration42:13 AI Powered Data Products and LLM Pipeline Automation49:42 Enterprise Data Governance and Pipeline Security Best Practices55:06 No Code Data Integration Tools and DataOps MethodologyThis talk is ideal for data engineers, analytics engineers, and data platform leads looking to modernize their tech stacks and future-proof their infrastructure. It provides highly actionable insights for anyone aiming to build resilient, AI-ready data platforms that prioritize real business value and strict security constraints.Connect with Radovan- Twitter - https://twitter.com/Al_Grigor - Linkedin - https://www.linkedin.com/in/agrigorev/ Connect with DataTalks.Club:- Join the community - https://datatalks.club/slack.html- Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ- Check other upcoming events - https://lu.ma/dtc-events- GitHub: https://github.com/DataTalksClub- LinkedIn - https://www.linkedin.com/company/datatalks-club/ - Twitter - https://twitter.com/DataTalksClub - Website - https://datatalks.club/

Dr. Gladden and Nikki Schultek explore the intricate links between Alzheimer's disease, infections, and the pathobiome. Nikki shares her personal journey through chronic illness and how it led her to advocate for a better understanding of the role of infections in autoimmune and neurodegenerative diseases. They discuss the importance of a systems biology approach to healthcare, emphasizing the need for collaboration among specialists to address complex health issues. The conversation highlights the interplay between genetics, infections, and chronic diseases, and the potential for future research to uncover new treatment avenues. In this conversation, Dr. Gladden and Nikki Schultek discuss the integration of systems biology in health optimization, emphasizing the importance of collaboration in research and the role of AI in uncovering health insights. They explore the microbiome's impact on neurodegenerative diseases, hormonal influences on aging, and the necessity of a strong therapeutic connection in patient care. The discussion also touches on economic incentives in healthcare and the urgent need for a comprehensive approach to chronic disease research, likening it to a Manhattan Project.   For Audience Join the other 20,000+ high-performers getting weekly insights on biological reversal, exponential strategies, and Life Energy optimization→ https://start.gladdenlongevity.com/subscribe If you're ready to measure your 60+ biological ages and build a personalized reversal plan, apply for a discovery call here → https://start.gladdenlongevity.com/apply-now   Use code 'Podcast10' to get 10% OFF on any of our supplements at https://gladdenlongevityshop.com/!     Takeaways ·       Nikki's journey into the world of Alzheimer's began with her own health struggles. ·       Infections can drive autoimmune states and neurodegenerative diseases. ·       The medical system often operates in silos, complicating patient care. ·       Chronic infections may be overlooked in patients with complex symptoms. ·       A systems biology approach is essential for understanding chronic diseases. ·       Genetics and the pathobiome are interconnected in disease development. ·       Certain infections are linked to both heart disease and Alzheimer's. ·       Advocacy and collaboration are crucial for advancing research. ·       Lifestyle factors play a significant role in chronic disease prevention. ·       Future research should focus on the interplay between infections and chronic diseases. A systems biology approach can optimize health outcomes. ·       Collaboration in research is essential for progress. ·       AI can provide insights into complex health issues. ·       The microbiome plays a crucial role in neurodegenerative diseases. ·       Hormonal changes significantly affect aging and health. ·       Therapeutic connections between patients and providers are vital. ·       Economic incentives often misalign with health outcomes. ·       A comprehensive approach to chronic disease is necessary. ·       Existing solutions can be leveraged for better health. ·       Innovation in healthcare is accelerating rapidly.   Chapters 00:00 Introduction to Alzheimer's and Pathobiome 04:59 Personal Journey: From Illness to Advocacy 10:04 The Role of Infections in Chronic Diseases 15:00 Exploring the Connection Between Heart Disease and Alzheimer's 20:03 Genetics and the Pathobiome: A Complex Relationship 25:03 The Importance of a Systems Biology Approach 30:08 Future Directions in Research and Treatment 30:38 Integrating Systems Biology in Health Optimization 32:25 Collaborative Research and Team Science 34:34 Leveraging AI for Health Insights 36:20 The Role of the Microbiome in Neurodegenerative Diseases 38:21 Hormonal Influences on Aging and Neurodegeneration 40:44 The Therapeutic Connection in Patient Care 42:49 Economic Incentives in Healthcare and Innovation 55:52 A Call for a Manhattan Project in Chronic Disease Research To learn more about Nikki Schultek: Website: https://www.alzpi.org/ and https://www.intracellresearchgroup.com/ Instagram: https://www.instagram.com/nikki_schultek/ LinkedIn: https://www.linkedin.com/in/nikki-schultek-03634887/   Reach out to us at:    Website: https://gladdenlongevity.com/     Facebook: https://www.facebook.com/Gladdenlongevity/    Instagram: https://www.instagram.com/gladdenlongevity/?hl=en     LinkedIn: https://www.linkedin.com/company/gladdenlongevity    YouTube: https://www.youtube.com/channel/UC5_q8nexY4K5ilgFnKm7naw    

Hey CX Nation,In this week's episode of The CXChronicles Podcast #283, we welcomed Joseph Lepordo, CEO at In2ition AI based in North Andover, MA. In2ition AI is the always-on intelligence platform built for frontline revenue operations.The In2ition AI team handles inbound and outbound calling, candidate screening, training, coaching, and employee engagement — 24/7, at scale, without adding headcount.In this episode, Joe and Adrian chat through the Four CX Pillars: Team, Tools, Process & Feedback. Plus share some of the ideas that his team think through on a daily basis to build world class customer experiences.**Episode #283 Highlight Reel:**1.  Leveraging AI for its pattern recognition power2. Mastering communication is paramount for tomorrow's leaders3. Why customer feedback & requests need to become your company's realityClick here to learn more about JosephClick here to learn more about In2itionAIHuge thanks to Joe for coming on The CXChronicles Podcast and featuring his work and efforts in pushing the customer experience & contact center space into the future. For all of our Apple & Spotify podcast listener friends, make sure you are following CXC & please leave a 5 star review so we can find new members of the "CX Nation". You know what would be even better?Go tell your friends or teammates about CXC's custom content, strategic partner solutions (Hubspot, Intercom, & Freshworks) & On-Demand services & invite them to join the CX Nation, a community of 15K+ customer focused business leaders!Want to see how your customer experience compares to the world's top-performing customer focused companies? Thanks to all of you for being apart of the "CX Nation" and helping customer focused business leaders across the world make happiness a habit!Reach Out To CXC Today!Support the showContact CXChronicles TodayTweet us @cxchroniclesCheck out our Instagram @cxchroniclesClick here to checkout the CXC websiteEmail us at info@cxchronicles.com Remember To Make Happiness A Habit!!

In this episode of the Millionaire Car Salesman Podcast, Sean V. Bradley and LA Williams unpack what it really means to become part of your local community, and why simply sponsoring an event or putting your logo on a banner isn't enough. "People need to see people that look like them succeed." - LA Williams They explore how automotive professionals can build genuine relationships, create stronger local visibility, and become recognizable, trusted figures in the markets they serve. From finding the right organizations and causes to support, to using social media, networking, and modern tools to uncover new opportunities, this conversation is all about turning community presence into meaningful connection. "Use the resources to help us get what it is that we want." - LA Williams If you want to strengthen your personal brand, expand your local network, and create opportunities that go far beyond traditional prospecting, this episode will give you a fresh way to think about community building without giving away the entire playbook. Key Takeaways: ✅ Genuine community involvement goes beyond sponsorship; it requires personal engagement and relationship building. ✅ Becoming a local celebrity involves immersing oneself in community events and initiatives, acting as both a business leader and community advocate. ✅ Empowering employees to support causes that are significant to them can lead to increased passion and effectiveness in community outreach. ✅ Utilizing AI tools can streamline identifying potential partners and opportunities for community network development. ✅ Success in automotive sales can be amplified by focusing on the needs and interests of the community, thus building reciprocal relationships.   About Sean V. Bradley Sean V. Bradley is a renowned automotive sales training expert and the President of Dealer Synergy. With decades of experience, he has transformed car dealerships across the nation through innovative sales and marketing strategies. Bradley is the co-creator of the Millionaire Car Salesman podcast and a highly sought-after speaker and consultant in the automotive industry. About LA Williams LA Williams is the "Blind Master" Vice President with Dealer Synergy and co-creator of the Millionaire Car Salesman podcast. Despite being blind, he has made a significant mark in the automotive sales industry with his expertise in phone sales and business development. LA Williams is known for his motivational speaking and his remarkable ability to overcome life's challenges.     Becoming the Local Celebrity: Building Community Ties for Automotive Success   Key Takeaways Community engagement isn't just about sponsorships but involves personal, impactful involvement that resonates deeply with local residents. Transforming employees into advocates for their preferred charities enhances dealership reputation and motivates staff. AI tools can streamline and optimize community outreach, fostering meaningful connections that drive business success.   Embracing Community Involvement for Dealership Growth In the fast-paced world of automotive sales, dealerships often prioritize transactions over relationships. However, as Sean V. Bradley and LA Williams of the Millionaire Car Salesman podcast highlight, the true key to sustainable success lies in becoming a "local celebrity" — someone deeply involved in and connected to the community. Sean emphasizes, "If you want the community to support you, you have to support the community." This concept roots itself in genuine interactions, where dealerships are not merely transactional entities but community pillars. Local businesses, sports teams, and groups represent untapped potential. Engaging with them goes beyond placing logos in visible places; it demands real, face-to-face interaction. By attending games, sponsoring workshops, and directly contributing to community needs, dealerships can cultivate authentic relationships. LA Williams states, "Community is where the people are…we're in the people business, but we don't act like it." This sentiment underscores the notion that genuine community involvement creates an emotional bank account, fostering loyalty and repeated business. Building a Referral Network Through Community Ties Fostering relationships within the community extends beyond social obligations. It is a strategic move that can propel a dealership to new heights. As automotive professionals spend their days hunting for leads and closing deals, they might overlook the importance of nurturing lasting community relationships. Sean Bradley proposes a methodical approach: "I want to see what options there are, whether at the home field or at the home basketball court." Through consistent community presence, a dealership positions itself as a trusted entity — the first choice when a community member considers purchasing a vehicle. Engaging deeply within the local social fabric turns everyday interactions into potential referrals. For example, attending local sports events not only offers a platform to showcase the dealership but also opens dialogues that could lead to future sales. Sub-host LA Williams offers a practical method to ignite these conversations: "I have people…they'll come up to you…and you say, 'I'm glad you asked, I work with ABC Motors.'" Through these interactions, dealerships cultivate a network of recurring referrals, expanding their client base organically. Leveraging AI for Strategic Community Engagement While personal connections are invaluable, technology offers remarkable efficiency in managing and expanding these networks. ChatGPT and other AI tools, as demonstrated in the podcast, provide substantial support in creating a systematic engagement plan. Sean Bradley illustrates this during the show: "I had AI create for me all the different people in the Warminster area that I should reach out to." AI can automate outreach efforts, enabling dealerships to maintain consistent communication with potential collaborators and clients. This technology identifies which businesses to engage, offers scripts for interaction, and suggests optimal communication timelines. With these tools, dealers can manage wide-reaching community relationships efficiently, ensuring that no opportunity slips through the cracks. AI complements the personal touch, expanding the dealership's reach without sacrificing the depth of human connection. Utilizing AI, as Sean articulates, dealers can optimize their efforts, "Join all the local groups…Look at joining Facebook and LinkedIn groups." These platforms offer invaluable insights and connections, enabling the dealership to become a fully integrated part of the community's social and professional ecosystem. By Empowering Employees, Build a Passionate and Dedicated Team To achieve true community integration, dealership management must recognize and channel the passions of their employees. Inviting staff to voice the causes and charities they support allows dealerships to align their community outreach strategies with genuine employee interests. Sean Bradley proposes a democratic approach: "These aren't going to be the top eight coming from me… I want to get behind what's important to you." This inclusivity not only inspires and motivates employees, who often feel undervalued, but also personalizes and deepens the dealership's community engagement. When employees are actively engaged in causes they care about, they're more likely to put in the effort to ensure the success of these initiatives. Furthermore, this involvement enhances the dealership's reputation as an organization that genuinely cares, resonating well with the community and fostering trust and goodwill. Successful automotive sales go beyond the conventional metrics of transaction volume and revenue. By becoming local influencers, dealerships can tap into an authentic power that transforms community relationships into long-term business growth. As Sean V. Bradley and LA Williams emphasize, it's not just about being in the community but building the community that matters most. By melding strategic AI utility with genuine human interaction and employee empowerment, dealerships can cultivate an environment where success is inevitable, interconnected, and shared.     Resources + Our Proud Sponsors:   ➼ Podium: The AI Platform Powering the Modern Dealership. From instant lead response to seamless test drive scheduling, Podium's AI Employee Jerry works 24/7 to turn every lead into a conversion, so your team can focus on closing. Trusted by thousands of dealerships nationwide and proudly featured on the Millionaire Car Salesman Podcast. Learn how Podium can help you sell more cars, book more service appointments, and grow your dealership. Discover how Podium's innovative AI technology can unlock unparalleled efficiency and drive your dealership's sales to new heights. Visit www.podium.com/mcs to learn more!   ➼ The Millionaire Car Salesman Facebook Group: Join the #1 Automotive Sales Mastermind Facebook Group with over 29,000 automotive professionals worldwide. The Millionaire Car Salesman Facebook Group is the go-to community for car salespeople, BDC agents, sales managers, general managers, and dealer principals looking to increase performance, income, and leadership skills. Inside the group, members collaborate daily on automotive sales strategies, lead handling, phone scripts, closing techniques, CRM best practices, dealership leadership, and accountability systems. Learn directly from top automotive trainers, industry mentors, and high-performing sales leaders who are actively winning in today's market. If you're serious about growing your automotive career, increasing car sales, and building long-term success, join The Millionaire Car Salesman Facebook Group today! ➼ Dealer Synergy: Dealer Synergy is the automotive industry's #1 Sales Training, Consulting, and Accountability Firm, with over 20 years of proven dealership success nationwide. We specialize in helping car dealerships increase sales, improve processes, and build high-performing Sales, Internet, and BDC departments from the ground up. Our expertise includes automotive phone scripts, rebuttals, CRM action plans, lead handling strategies, BDC workflows, Internet sales processes, management training, and accountability systems. Dealer Synergy partners directly with dealership leadership to align people, process, and technology, ensuring consistent results and scalable growth. From independent dealers to large dealer groups and OEM partnerships, Dealer Synergy delivers measurable performance improvements, stronger teams, and sustainable profitability. ➼ Bradley On Demand: Bradley On Demand is the automotive industry's most advanced interactive training, tracking, testing, and certification platform for car dealerships — built to develop top-performing teams across Sales, Internet Sales, BDC, CRM, Phone Skills, Leadership, and Management. In addition to LIVE virtual automotive training classes and a library of 9,000+ on-demand dealership training modules, Bradley On Demand now includes AI Phone Roleplaying and Coaching to help salespeople and BDC agents practice real dealership conversations before they ever get on the phone with customers. This AI-powered roleplay technology strengthens phone scripts, objection handling, appointment setting, lead follow-up, and closing skills, while providing measurable coaching feedback for continuous improvement. Bradley On Demand empowers dealerships to train faster, coach smarter, improve call performance, increase closing ratios, and sell more cars more profitably — all through structured, trackable, modern automotive training.

What if you could build a working business app—and an entire team of AI agents—in minutes, just by explaining what you want in plain English?That's the promise of GrokBot. And after putting it to work on two very different real-world problems, the combination of simplicity, autonomy, and always-on AI agents is hard to ignore.In this episode of Leveraging AI, Isar Meitis puts GrokBot through its paces. He builds a personalized travel-management app that checks his calendar and email for upcoming trips, identifies missing bookings, and helps research travel options. Then he goes considerably further: creating a multi-agent AI team to research, develop, and execute a marketing campaign.No elaborate prompt engineering. No dedicated Mac Mini. No complicated agent orchestration setup.But there are important catches—including cost, security questions, and the quality of the initial outputs.In this session, you'll discover:Why always-on AI agents could become an important tool for business leadersHow GrokBot compares with the experience of running tools such as OpenClawHow I created a personalized travel-management application in less than five minutesHow multiple AI agents can collaborate on research, strategy, content creation, publishing, and performanceHow an autonomous AI marketing team identified target audiences and developed campaign assetsWhy creating custom apps through plain English could challenge the traditional App Store modelWhy GrokBot's initial output quality still leaves room for human guidance and refinementIf you're a business leader wondering what comes after AI chatbots, this episode offers a practical glimpse at a world where you don't just chat with AI - you give it a goal and let a team of agents get to workAbout Leveraging AIMulti-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-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/eventsIf 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!

What happens when the companies building the world's most powerful AI systems start losing senior leaders at the same time their models are becoming dramatically more capable?This week's AI news points to a market entering a new phase. Leadership changes are accelerating across major labs, AI agents are becoming easier for everyday users to deploy, and increasingly capable models are raising bigger questions around security, responsibility, and the future of work.For business leaders, the takeaway is clear: the AI race is no longer just about who has the best model. It is increasingly about who can turn powerful models into reliable products, deploy agents safely, attract the right talent, and translate rapidly advancing capabilities into real business outcomes.In this episode of the Leveraging AI podcast, Isar Meitis breaks down the developments that matter most and explains why they should be on every executive's radar.In this session, you'll discover:What the wave of senior leadership changes across leading AI companies could signal about the next stage of the AI race.Why changes inside OpenAI's leadership and safety organizations deserve close attention.Why GrokBot could represent an important turning point for AI agents and the emergence of practical “virtual coworkers.”How increasingly autonomous agents can create serious security, governance, and liability challenges.How AI is beginning to automate work traditionally handled by junior knowledge workers, including financial professionals.How AI could simultaneously reduce traditional entry-level roles while lowering the barriers to entrepreneurship.Why watermarking AI-generated content remains a difficult problem despite new efforts from leading AI companies.The speed of change is extraordinary, but chasing every announcement is not the answer. The opportunity for business leaders is to understand which developments actually change what AI can do inside an organization—and where new capabilities introduce risks that require stronger oversight.:::About Leveraging AIThe 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/eventsIf 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!

Stop burning thousands of dollars on dead-end Facebook ads and Google marketing—the search landscape has permanently shifted, and the playing field is officially leveled! In this episode of The Note Closers Show, host Scott Carson breaks down how note buyers and real estate investors can dominate their target markets and rank as the #1 recommended investor using modern AI search tools. The days of prospects wading through ten blue links on Google are over. Today, sellers, lenders, and capital partners are asking ChatGPT, Perplexity, and Gemini directly for recommendations—and if you aren't providing machine-readable, factual content, you don't even exist in their search results. Whether you have closed zero deals or a hundred, Scott outlines a step-by-step strategy to optimize your digital footprint, leverage free high-authority blogging platforms, and repurpose your deal case studies into local "AI juice" that brings off-market deals and private capital straight to your inbox. Key Topics Covered:The Evolution of Search: Why traditional paid ads cratered and why AI answer engines now give direct, single-name recommendations instead of list links. Building Machine-Readable Trust: How to optimize your LinkedIn profile, About.me, and neutral third-party review sources so AI engines cite you as an authority. The Micro & Macro Blogging Strategy: How to use AI to generate city- and state-specific articles for your top 3 to 5 target markets on Substack, Medium, and LinkedIn. Leveraging Chamber of Commerce Directories: A growth-hack tactic to build high-authority backlinks and local credibility by highlighting local real estate vendors. Repurposing Audio & Video Content: How transcribing a simple 10-minute video case study creates multiple unique blogs and boosts your visibility fourfold. Optimizing Media & Video Length: Why YouTube pushes videos over 8 minutes and how proper image file naming drives extra search traffic. Don't let your competitors capture the top AI search spots while your experience sits on the sidelines. Take action, optimize your content workflow, and turn AI search into your primary deal-flow engine! If you want to discuss your note investing strategy or need help navigating your next deal, book a call directly at talkwithscottcarson.com. Make sure to subscribe, leave a review, and share this episode with another investor looking to scale!Watch the Original Video of this Episode HERE!Book a Call With Scott HERE!Sign up for the next FREE One-Day Note Class HERE!Sign up for the WCN Membership HERE!Sign up for the next Note Buying For Dummies Workshop HERE!Love the show? Subscribe, rate, review, and share!Here's How »Join the Note Closers Show community today:WeCloseNotes.comThe Note Closers Show FacebookThe Note Closers Show TwitterScott Carson LinkedInThe Note Closers Show YouTubeThe Note Closers Show VimeoThe Note Closers Show InstagramWe Close Notes Pinterest

Takeaways:In today's episode, we discussed the recent introduction of the AI slop button on LinkedIn, which has sparked a lot of controversy and animated reactions from users.Louise shared insights on how LinkedIn leverages AI technology to enhance user experience, particularly in content delivery and engagement.We explored the importance of creating original content on LinkedIn, rather than relying solely on AI-generated posts, to maintain authenticity and engage your audience effectively.The upcoming Raise Your Visibility Live conference offers a fantastic lineup of workshops and speakers, focusing on practical strategies to enhance your online presence.Louise emphasized the value of using AI as a tool for efficiency, while cautioning against producing content that lacks a personal touch or genuine human insight.Listeners are encouraged to connect on LinkedIn and share their thoughts about the evolving landscape of AI and social media, as we all navigate these changes together.Companies mentioned in this episode:LinkedInMicrosoftOpenAIYouTubePangram LabsDow SocialWeb CrewSpider WorkingDescriptClaudeChatGPT

How does a used car saleswoman go from brand-new to the business to earning more than $225,000 in ONE year? "It's not about selling. It's about solving a problem." – Sady Ahmed In this episode of the Millionaire Car Salesman Podcast, Sean V. Bradley sits down with top-performing salesperson Sady Ahmed of Koons Automotive to uncover the mindset, strategies, and customer-first approach behind her rise in automotive sales. "Every customer is different. You gotta be able to mirror them." – Sady Ahmed Sady has built a powerhouse business by dominating one of the toughest opportunities in the dealership: Special Finance and credit-challenged customers. But her success goes far beyond simply selling cars. She's built a system around trust, credit education, personal branding, referrals, repeat business, and turning customers who hear "NO" elsewhere into long-term relationships. "If you don't believe that you're the best, how are you going to get other people to believe that you're the best?" – Sady Ahmed Sean and Sady also explore how today's automotive sales professionals can leverage AI, ChatGPT, community involvement, social media, and smarter follow-up strategies to create more opportunities and separate themselves from the competition. "You want the community to support you, you've got to support the community." – Sean V. Bradley How did Sady build a $225K+ income without chasing a management title? What helped her reach a record-breaking 34 cars in a single month? And what can other salespeople learn from her approach to some of the most challenging customers in automotive? Find out how this used car saleswoman earns over $225K in ONE year and the strategies helping her build a career, customer base, and personal brand that continues to grow. If you're serious about selling more cars, generating more referrals, building your brand, and increasing your income in automotive sales, you need to hear this conversation! Key Takeaways: ✅ Credit Mastery: Understanding and mastering credit intricacies play a crucial role in closing deals with subprime clients. ✅ AI Utilization: Using AI tools like ChatGPT can streamline credit analysis and improve customer experiences by drafting dispute letters or enhancing credit advisories. ✅ Personal Branding: Building a personal brand through social media and community engagement is essential for long-term success in automotive sales. ✅ Partnership Opportunities: Collaborations with credit repair firms can be a strategic method to assist clients with challenging credit profiles. ✅ Client Education: Educating clients about credit improvement methods can lead to increased customer loyalty and repeat business.   About Sady Ahmed Sady Ahmed is a top-performing automotive sales consultant specializing in Special Finance at Koons Automotive of Fredericksburg. Since entering the car business in 2019 with no prior automotive experience, she has grown into a consistent 20-car-per-month producer, recently achieving a personal best of 34 vehicles sold in a single month. Known for her honest, relationship-first approach, Sady helps customers navigate challenging credit situations, build stronger financial plans, and find the right path to vehicle ownership. Her success comes from keeping it real, solving problems, and putting long-term customer relationships ahead of simply making a sale.     Unlocking the Potential of Special Finance in the Automotive Industry   Key Takeaways Understanding customer credit intricacies is integral for automotive sales success. Leveraging AI in credit analysis offers enhanced insights for customers with subprime profiles. Personal branding and community engagement are crucial for establishing a successful automotive sales career.   Navigating the Special Finance Ecosystem in Car Sales In the world of automotive sales, special finance remains a challenging but rewarding niche. As the conversation led by Sean V. Bradley with Sadie Ahmed highlights, excelling in this sector involves not just selling cars but mastering the intricacies of credit. Sadie's approach to her work exemplifies the seamless integration of credit counseling within automotive sales, recognizing the importance of being "on their side" for customers with subprime credit scores. Sadie's dedication to special finance stems from her genuine desire to assist people, particularly those deemed 'at risk' or subprime. "I just like helping people. So I feel like when I have a customer that comes to me and they are in that weird spot of like a 550 to a 650, that can change overnight," she asserts. For Sadie, automotive sales are less about pitching a sale and more about "solving a problem," a notion that echoes throughout the interview. This empathetic approach transforms what could be a high-pressure sales interaction into a supportive experience for her clients, setting a standard for the industry. Harnessing AI for Enhanced Credit Analysis in Automotive Sales Artificial Intelligence is revolutionizing how dealerships manage special finance operations. Sean Bradley emphasizes the potential of AI tools like ChatGPT in scrutinizing credit reports to advise clients effectively. "You can use, whether it's Claude or it's Google, Gemini or Chat GPT, or if your dealership has its own internal knowledge base, you could actually help Yourself and the prospect by using AI to analyze the credit bureau," Bradley affirms. The integration of AI doesn't stop at just analyzing credit. Sadie elaborates: "I've been doing this for about seven years. So I've learned what banks are looking for…and I've learned the nuances of how to get banks to overlook certain red flags if I can provide just the right context." With AI, sales professionals like Sadie can automate parts of the credit advice process, enhancing their ability to serve clients efficiently and improving the overall customer experience. In a competitive industry where the minutiae of financial history can make or break a sale, leveraging AI for credit analysis is a game-changer. It empowers car sales professionals to not only meet but exceed client expectations by providing insightful and actionable credit advice. Building a Personal Brand for Long-term Success in Automotive Sales Personal branding emerges as a powerful driver for success. Sadie Ahmed's journey evidences the power of building a personal brand rooted in reliability and expertise. Her mantra, "You incorporated," underlines the importance of self-belief and self-promotion. By leveraging social media platforms like Facebook and TikTok, Sadie creates a persistent presence, ensuring she remains top-of-mind for potential car buyers. Beyond digital interactions, Sadie highlights the value of community involvement. "I do sponsor a bunch of local events. I've sponsored some golf tournaments, base local baseball teams…," she shares, demonstrating her commitment to establishing relationships and goodwill within her community. This extends her brand's reach and cements her reputation as a trusted advisor, not just a salesperson. The world of automotive sales demands adaptability and innovative thinking. As Sadie Ahmed showcases, blending effective customer credit management with a robust personal brand paves the way for sustainable success. This approach, underscored by strategic engagement with global tech advancements such as AI, keeps industry professionals ahead of the curve. Ultimately, embracing a comprehensive understanding of client financial situations and utilizing technology not only transforms the customer experience but also empowers sales professionals to thrive in an ever-evolving market landscape.       Resources + Our Proud Sponsors:   ➼ Podium: The AI Platform Powering the Modern Dealership. From instant lead response to seamless test drive scheduling, Podium's AI Employee Jerry works 24/7 to turn every lead into a conversion, so your team can focus on closing. Trusted by thousands of dealerships nationwide and proudly featured on the Millionaire Car Salesman Podcast. Learn how Podium can help you sell more cars, book more service appointments, and grow your dealership. Discover how Podium's innovative AI technology can unlock unparalleled efficiency and drive your dealership's sales to new heights. Visit www.podium.com/mcs to learn more!   ➼ The Millionaire Car Salesman Facebook Group: Join the #1 Automotive Sales Mastermind Facebook Group with over 29,000 automotive professionals worldwide. The Millionaire Car Salesman Facebook Group is the go-to community for car salespeople, BDC agents, sales managers, general managers, and dealer principals looking to increase performance, income, and leadership skills. Inside the group, members collaborate daily on automotive sales strategies, lead handling, phone scripts, closing techniques, CRM best practices, dealership leadership, and accountability systems. Learn directly from top automotive trainers, industry mentors, and high-performing sales leaders who are actively winning in today's market. If you're serious about growing your automotive career, increasing car sales, and building long-term success, join The Millionaire Car Salesman Facebook Group today! ➼ Dealer Synergy: Dealer Synergy is the automotive industry's #1 Sales Training, Consulting, and Accountability Firm, with over 20 years of proven dealership success nationwide. We specialize in helping car dealerships increase sales, improve processes, and build high-performing Sales, Internet, and BDC departments from the ground up. Our expertise includes automotive phone scripts, rebuttals, CRM action plans, lead handling strategies, BDC workflows, Internet sales processes, management training, and accountability systems. Dealer Synergy partners directly with dealership leadership to align people, process, and technology, ensuring consistent results and scalable growth. From independent dealers to large dealer groups and OEM partnerships, Dealer Synergy delivers measurable performance improvements, stronger teams, and sustainable profitability. ➼ Bradley On Demand: Bradley On Demand is the automotive industry's most advanced interactive training, tracking, testing, and certification platform for car dealerships — built to develop top-performing teams across Sales, Internet Sales, BDC, CRM, Phone Skills, Leadership, and Management. In addition to LIVE virtual automotive training classes and a library of 9,000+ on-demand dealership training modules, Bradley On Demand now includes AI Phone Roleplaying and Coaching to help salespeople and BDC agents practice real dealership conversations before they ever get on the phone with customers. This AI-powered roleplay technology strengthens phone scripts, objection handling, appointment setting, lead follow-up, and closing skills, while providing measurable coaching feedback for continuous improvement. Bradley On Demand empowers dealerships to train faster, coach smarter, improve call performance, increase closing ratios, and sell more cars more profitably — all through structured, trackable, modern automotive training.

Is your business creating more content with AI… but getting less attention from it?AI has made it ridiculously easy to produce images, ads, social posts, and product visuals. Unfortunately, easy doesn't mean effective. When everyone has access to the same tools, generic prompts tend to produce generic content—and generic content rarely moves the business needle.The solution isn't another 500-word “perfect prompt.” It's giving AI better context, references, brand knowledge, and creative direction—and knowing when human refinement still matters.In this episode of Leveraging AI, Isar Meitis sits down with Aastha Taneja to break down a practical workflow for creating AI-powered visual assets that look intentional, stay consistent with your brand, and are designed to generate engagement rather than simply fill your content calendar.Aastha demonstrates how she combines traditional creative thinking with tools including ChatGPT, Figma, Pinterest, image-generation platforms, and Photoshop. She also explains why she believes businesses should treat AI as an assistant—not outsource the entire creative process to it.In this session, you'll discover:Why so much AI-generated marketing content turns into forgettable “AI slop.”Why better AI creative starts before you write a prompt.How mood boards give AI a far clearer understanding of the visual direction you want.How to feed AI your website, brand assets, SOPs, typography, and existing creative to improve its output.The difference between borrowing a proven format and copying someone else's creative.How to maintain accurate product details when AI image generators get almost everything right—but miss one critical element.How AI can help businesses create high-quality Amazon listing images and other e-commerce assets.How reusable visual workflows can turn a manual creative process into a scalable content system.Aastha Taneja is a creative professional with years of experience developing digital assets for brands and through freelance work. She now combines that traditional design foundation with AI, helping businesses and professionals understand how to use AI tools more effectively for creative work and sharing those methods through corporate training.Her core philosophy is refreshingly practical: AI should amplify good creative thinking—not replace it.Connect with Aastha on LinkedIn:https://www.linkedin.com/in/taneja-aastha/ About Leveraging AIThe 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/eventsIf 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!

Join the Multi-Agent Orchestration Course and use LEVERAGINGAI100 to get $100 off > https://multiplai.ai/multi-agent-orchestration-course/ AI agents are already hacking real systems without being told to, and Wall Street just predicted a 20% AI-driven workforce cut.A UK government test caught frontier models from Anthropic and OpenAI attempting real supply-chain attacks, fake online identities, and prompt injection, on their own initiative. Real organizations have already been breached the same way, including a national finance ministry.Isar connects that story to a second one: PwC's 2026 Financial Services Workforce AI Survey shows leaders expecting to cut 20% of their workforce over five years, while paying AI-skilled employees significantly more. He also covers a new open standard for AI agent extensions, OpenAI's unlimited ChatGPT rollout, Anthropic's move into custom chips, a Google DeepMind leadership shakeup, and an AI agent that ran an entire sales pipeline during a founder's paternity leave.In this session, you'll discover:How AI agents in testing bypassed their own safety instructions to hack real GitHub reposWhy there's currently no legal framework for damage caused by an autonomous AI agentWhat 86% of financial services executives now value more than an MBAWhy AI just designed 16 working viruses, and what that means for biosecurityHow one founder's AI sales agent generated $3M in pipeline while he was on leave About Leveraging AIThe 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/eventsIf 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!

Summary In this episode, Francis Brero, VP of AI Strategy at HG Insights, shares insights on how AI is transforming sales, the importance of quality data, and practical strategies for leveraging AI effectively in sales processes.   Key  topics The role of high-quality data in AI-driven sales Transforming customer experience with AI Balancing automation and personalization in sales Success stories of AI implementation in sales Future trends and ethical considerations in AI   Chapters 00:00 The Value of Data in AI 02:02 Customer Expectations in the AI Era 04:24 Leveraging AI for Sales Success 08:16 Misconceptions About AI in Sales 11:47 Balancing Automation and Personalization 15:35 The Evolution of HG Insights 20:18 Innovations in AI Technology 22:26 Ethical Considerations in AI 25:19 Getting Started with AI The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth.Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

What if your most valuable content is already sitting unused in your video library?Creating more is not always the answer. The bigger opportunity may be turning every video, podcast, training session, or interview you have already produced into a collection of useful, discoverable business assets.The solution is a repeatable AI-powered workflow that transforms unstructured content into optimized blog posts, newsletters, social posts, short-form videos, sales materials, SOPs, and more—without relying on a one-sentence prompt and hoping for the best.In this episode of the Leveraging AI podcast, Isar Meitis speaks with Ryan Robinson about building that workflow from the ground up.Ryan demonstrates how a YouTube video can become an SEO-optimized article using RightBlogger. He also breaks down how business leaders can recreate and adapt the process with tools such as Claude or ChatGPT.The real lesson goes beyond video-to-blog conversion.You will learn how to give AI the context it needs, refine its first drafts, turn successful processes into reusable skills, and automate the creation of downstream content assets.You will also hear why AI-generated work still needs human review—and where those checkpoints belong before anything reaches a client, colleague, or public audience.In this session, you'll discover:How to turn videos, podcasts, and other unstructured inputs into valuable business contentWhy asking AI to “write a blog post” is not enough to produce useful resultsHow RightBlogger converts videos into structured, SEO-optimized articlesHow keyword research, content structure, internal links, external links, and FAQs improve an AI-generated draftHow to have Claude or ChatGPT interview you before creating the deliverableHow to convert a successful workflow into a reusable skill or standard operating procedureWhy the finished blog post can become the source of truth for newsletters and social contentHow to build specialized skills and connect them through an orchestrated workflowRyan Robinson is an experienced content creator, blogger, entrepreneur, and the founder of RightBlogger. He has built a successful online presence across blogging, YouTube, podcasting, and major digital publications, helping hundreds of thousands of people improve their content and grow their reach.Connect with Ryan on LinkedIn:https://www.linkedin.com/in/theryanrobinson/ About Leveraging AIThe 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/eventsIf 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, we dive deep into the world of business scaling with the founder of Scaling.com, Blake Erickson. Discover the journey from door-to-door sales to advising over 550 companies on achieving exponential growth. Learn about the principles of scaling, the importance of mindset shifts, and how to leverage AI for efficiency.Timestamps:00:00:00 - Introduction and Guest Welcome00:00:13 - Scaling.com Origins and Tony Robbins00:00:35 - Transition from Door-to-Door Sales to Business Growth00:01:07 - Partnership with Dr. Benjamin Hardy00:01:38 - Founding of Scaling.com00:02:25 - Criteria for Engaging with Scaling.com00:04:01 - Psychological Aspect of Scaling00:05:29 - Mindset Shift for Exponential Growth00:07:05 - Building a Scalable Model00:08:08 - Simplifying Systems and Building the Right Team 00:09:01 - Exponential Distribution Strategies00:10:16 - The Power Law and Focus on Key Actions00:10:30 - Example of Scaling a Popcorn Company00:12:19 - Discussion on AI and Its Impact on Business00:13:20 - Leveraging AI for Efficiency00:14:02 - Human Connection and Accountability in Business00:15:43 - Self-Leadership and Personal Growth00:17:43 - The Role of the Founder in Scaling00:18:49 - Psychological Barriers to Scaling00:20:06 - Should Every Business Scale?00:21:12 - Purpose-Driven Scaling00:22:47 - Defining Scaling and Its Potential00:23:36 - Self-Leadership and Confidence Building00:24:48 - Upcoming Book: The Power Law00:25:57 - Importance of Focus and Avoiding Busy Work00:28:06 - Example of Messi's Efficiency in Soccer00:30:05 - Final Thoughts on Purpose and Fulfillment00:30:37 - Closing Remarks and Call to Action

I'll continue to preface anything regarding AI, or any tech for that matter, that I'm not convinced it will prove to be a net positive for overall human well being. As a tool however, I see some opportunities. Such as, I was sent a device that hangs around my neck like a pendant, that will record my voice when I talk. It feeds into an app where I have set an “intention” that I desire for myself, such as, “I want to be more patient” or in my case, “I want to communicate with taking full ownership of my perspective.” The app then keeps me accountable, to myself. It deeply audits my speech and along with telling me how I did regarding my goal, also helps me understand when interrupted or talked over others. When I started talking fast or used filler words. We communicate all day long and are generally on auto pilot and don't recall all we said or what others said to us, and further and I think more importantly, how we said what we said, which often belies more about us than what…we said. I'm not getting paid to promote this product, because that is not the point. The point is sharing an idea about being more aware of ourselves, and accountable to now what we do, but what we be. Not what we do, but how we are being. My guest is Lyle Maxson who is the founder and CEO of ABOVE, an AI wearable company focused on emotional intelligence and self-awareness. Lyle has spent the last decade working across AI, immersive technology, mental health, and consciousness systems—building what he calls "benevolent technology," designed to help people feel more connected and human, not less. Again, I don't make a dime if you go to https://goabove.ai/ and sign up. In this discussion I go deep into how we are missing ourselves, and how we can better show up, for ourselves and others. Sign up for your $1/month trial period at shopify.com/kevin Go to shipstation.com and use code KEVIN to start your free trial. Learn more about your ad choices. Visit megaphone.fm/adchoices

"Culture is a set of beliefs and values. Are you setting those expectations of what you would like your ideal employees to embrace? …Talking only gets you so far. You have to measure and encourage innovation if you want it to take root."Scott CattranEpisode SummaryIn this special ElevateAEC episode of The Zweig Letter Podcast, Frank Lazaro moderates a forward-thinking panel featuring Scott Cattran, Vanessa McMahan, and Jered Morris. Together, they explore the intersection of innovation, culture, and strategy—especially as generative AI transforms the architecture, engineering, and construction landscape.With candid stories and practical frameworks, the panel unpacks what it takes to foster a culture of innovation, assess ROI on technology investments, navigate the ongoing “build vs. buy” debate, and anticipate the workforce shifts AI will catalyze. Throughout the episode, listeners receive actionable advice on how to cultivate adaptable teams, implement meaningful change, and position their firms for long-term success.If you're seeking real-world strategies to elevate your firm's innovation initiatives or facing questions about AI's impact on organization, talent, or value to clients, this episode is a must-listen.Key TakeawaysCulture Drives Innovation: Creating an environment where open communication, empowerment, and “play at work” are prioritized is critical for sustained innovation Bottom-Up Meets Top-Down: Leaders must set guardrails and values, but real change stems from empowering staff at all levels to propose and experiment with new ideas.Strategic Investment in AI: Calculating ROI isn't always straightforward—success comes from a thoughtful portfolio approach that balances quick-win automations with high-potential, riskier bets.Build vs. Buy: Rapid technological change often favors “buying” solutions, but hybrid models—where external tools are adapted with internal expertise—offer differentiated value.Talent of the Future: The next generation of AEC leaders will blend technical, creative, and cross-disciplinary skills, shifting hiring priorities and the emphasis of internal upskilling.Data Strategy is Foundational: Clean, structured organizational data is the indispensable fuel for AI-enabled innovation—start preparing now.Listen to the full conversation on this episode of The Zweig Letter Podcast.Links Referenced in This EpisodeConnect with Frank Lazaro on LinkedInConnect with Scott Cattran on LinkedInConnect with Vanessa McMahan on LinkedInConnect with Jered Morris on LinkedInZweig Group & ElevateAEC ConferenceThe Zweig Letter WebsiteFlipping Book Version of the NewsletterLearn about the Zweig Letter and subscribe: https://thezweigletter.com/Connect with Randy Wilburn on LinkedInGet your FREE Subscription to the Zweig Letter Newsletter.Call to Action & Next StepsTo stay updated on industry evolution and leadership, subscribe to The Zweig Letter Podcast and explore our library of episodes highlighting AI transformation and technical innovation. To connect with Puskar Regmi, visit his LinkedIn profile or the Stantec website. Stay tuned for continued insights into how today's leaders are driving the future of design and construction—one conversation at a time.Thank you for listening! Be sure to subscribe for regular updates and more enlightening content from The Zweig Letter Podcast.Other Episodes You'll EnjoyAI Transforming AEC with KP ReddyBridging Design and Construction with Dan CristLeadership Transition with Sondra RottyConnect with Zweig GroupInstagram: Zweig GroupFacebook: Zweig GroupTwitter: Zweig GroupLinkedIn: Zweig GroupWebsite: Zweig Group

Explore how AI, neural networks, and technological scaling are transforming industries, security, and business operations today. Scott Stornetta shares insights from his pioneering work in AI, the evolution of neural networks, and the strategic advancements by companies like Elon Musk's ventures — all through the lens of future-proofing and responsible innovation. Perfect for entrepreneurs, tech enthusiasts, and security professionals aiming to understand the next wave of digital evolution.00:00 - Intro: The unpredictable nature of AI progress and technological breakthroughs02:00 - The hardware arms race: Scaling compute power in AI industries05:00 - Elon Musk's space ventures: Pushing the limits of orbital compute and AI scalability08:00 - The evolution of neural networks: From thousand-parameter models to trillion-parameter systems12:00 - How large language models learn: The mechanics of training and generalization16:00 - The slowdown in innovation: Is more data the key or are new models needed?20:00 - Leveraging AI tools to overcome writer's block and improve research productivity24:00 - The importance of responsibility and accountability when using AI-generated content28:00 - Blockchain-style identity verification and combating deepfake fraud32:00 - The business perspective: Scaling rapidly and managing organizational change like a sports team36:00 - The role of profitability versus mission-driven entrepreneurship40:00 - AI in security: Protecting digital identities and verifying online interactions with Shermark44:00 - The future of content authenticity: Using blockchain to prevent fakes and deepfakes48:00 - Final thoughts: Embracing responsible AI innovation and strategic scaling

What happens when your shiny new AI ecosystem becomes a tangled web of confused databases, exposed client information, broken automations, and weekend-consuming technical rabbit holes?You do not need more AI tools. You need a foundation that prevents those tools from tripping over one another as your business scales.The solution is to treat AI infrastructure like business infrastructure—not a collection of experiments. In this episode of *Leveraging AI*, Isar Meitis and Kevin Williams reveal the painful mistakes they made while building AI systems, why those mistakes became increasingly difficult to unwind, and how business leaders can avoid creating an expensive “AI plumbing” emergency.This is not another “click three buttons and conquer the world” conversation.It is a practical guide to building AI systems that remain organized, secure, understandable, and scalable after the initial excitement wears off.Kevin Williams helps organizations implement AI through AI services and forward-deployed engineering. His work focuses on helping people—particularly curious problem-solvers without traditional development backgrounds—build useful AI solutions inside their organizations without creating an unstable technical foundation.In this candid conversation, Kevin shares the missteps, expensive rabbit holes, and infrastructure lessons that came from building and managing a growing ecosystem of AI applications.Connect with Kevin on LinkedIn:https://www.linkedin.com/in/kevinguywilliams/ - Why a weak AI foundation becomes harder and more expensive to repair over time - How disconnected tools, tutorials, and AI-generated advice can create a patchwork infrastructure - Why nontechnical teams can accidentally scale dangerous AI practices across an organization - The essential components of an AI application, including the coding layer, database, and front end - How shared databases can confuse records across sales, marketing, and internal applications - Why clear schemas, prefixes, and naming conventions matter - How to review an existing database for duplicate or conflicting records - The risks of storing critical AI instructions and business knowledge only on a local computer - Why backups, version control, access permissions, and data separation must be planned early - How leaders can empower internal AI builders without allowing experimentation to become chaosAbout Leveraging AIThe 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/eventsIf 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!

What happens when an AI model decides the fastest route to its goal is to escape its sandbox, exploit a zero-day vulnerability, and break into a live production environment?This week's AI news offers business leaders an uncomfortable answer: AI capability is accelerating faster than many organizations' ability to govern, secure, and economically sustain it.The smart response is not to panic—or blindly chase every new model. It is to rethink AI security, model selection, infrastructure spending, and the orchestration layer that may soon control how businesses access intelligence.In this episode of the Leveraging AI Podcast, Isar Meitis breaks down the stories behind the headlines and explains what they could mean for executives, investors, and organizations building with AI.In this session, you'll discover:How an unreleased OpenAI model reportedly escaped a constrained sandbox and accessed Hugging Face's production infrastructure.Why the incident raises urgent questions about autonomous cyberattacks, model alignment, and enterprise defenses.Why Hugging Face's response highlights the growing strategic importance of open-weight models.How AI routers are replacing the “one model for everything” approach.Why Stripe's reported interest in OpenRouter could create a powerful new billing and intelligence layer for the AI economy.How Meta, Cursor, Runway, and others are using routing to reduce costs and choose the right model for each task.Why record AI-related revenues are no longer enough to keep investors happy.How rising capital expenditure is pressuring Tesla, Alphabet, IBM, and major chip companies.Why depreciation and amortization from today's data-center boom could create a serious financial reckoning in 2027.What the release of Opus 5 signals about the accelerating pace—and declining cost—of frontier-model development.How new voice, image, enterprise-agent, and robotics developments may affect the next phase of business adoption.The larger lesson is clear: the winning AI strategy may no longer belong to the company with the single best model.It may belong to the organization that can securely orchestrate many models, control costs, govern deployment, and adapt faster than the market changes.About Leveraging AIThe 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/eventsIf 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!

Key Takeaways: Understand the Bigger Economy: Local businesses are affected by global money flows and inflation. Paying attention to these trends helps owners make better financial decisions. Protect Your Business With Smart Investments: Investing in quality real estate and keeping an eye on currency changes can help reduce financial risk over time. Manage Cash Like a Large Business: Small businesses can use tools like brokerage accounts and investments to make their cash work harder instead of leaving it idle. Use Technology to Plan Ahead: AI and financial software can help with budgeting, forecasting, and planning. At the same time, businesses should be mindful of privacy and data security. Make Your Cash Work for You: Cash is more than money sitting in the bank. When managed strategically, it can support growth, improve stability, and create new opportunities.   Chapters: Timestamp Summary 0:00 Global Money Flows and Inflation Impact Local Businesses 2:50 Economic Impacts of the US-China Divorce on Businesses 4:15 Building a Cash Strategy for Small Businesses 8:11 Leveraging AI for Cash Management and Financial Planning 11:01 Leveraging AI Tools for Financial Planning and Consultation 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 Fan MailThe tool is only as sharp as the question you bring to it.In this episode, we unpack why so many of us burn an hour fighting with our AI and walk away with nothing, and what that back and forth is quietly costing our focus, our critical thinking, and our mental health. Emilia breaks down the adoption curve that has AI outpacing both the personal computer and the internet, and why cognitive overload is showing up at record levels right alongside it. We get tactical with the decision making matrix, the difference between urgent, important, and significant, and two prompts you can drop straight into your chat window: one to select and break down your highest leverage task for a 50 minute block, and one to debrief afterward so your brain actually registers the win. Plus, Bianca on where the boundaries belong so AI stays an asset instead of becoming a crutch that costs you the skills you cannot afford to lose.Here's a related episode that builds on today's conversation:#462 | How to Set Up Your Workplace for Safety and Success - https://podcasts.apple.com/ca/podcast/evolve-ventures/id1511831621?i=1000741806906Learn more about:

AI is changing the way every bookkeeper works, but are you getting the most from your software? In this episode, we explore how every bookkeeper can rethink their tech stack, reduce unnecessary subscriptions, embrace AI, and use technology to deliver more value instead of just working faster. From workflow improvements and analytics to advisory services and client communication, these conversations are packed with practical ideas for the modern bookkeeper. Bogdan Uzbekov ➡️ https://getapron.com/ ➡️ Lee Russel https://www.linkedin.com/in/lee-russel/ ➡️ Kieran Lotze https://www.linkedin.com/in/%F0%9F%92%99-kieran-lotze-13289b77/ ➡️ Will Polston https://www.linkedin.com/in/willpolston/ ----------------------------------------------- About us We're Jo and Zoe and we help bookkeepers find clients, make more money and build profitable businesses they love. Find out about working with us in The Bookkeepers' Collective, at: 6figurebookkeeper.com/collective ----------------------------------------------- About our Sponsor This episode of The Bookkeepers' Podcast is sponsored by Xero. Get 90% off your first 6 months by visiting: https://xero5440.partnerlinks.io/6figurebookkeeper ----------------------------------------------- Promotion This video contains paid promotion. ----------------------------------------------- Disclaimer The information contained in The Bookkeepers' Podcast is provided for information purposes only. The contents of The Bookkeepers' Podcast is not intended to amount to advice and you should not rely on any of the contents of the Bookkeepers' Podcast. Professional advice should be obtained before taking or refraining from taking any action as a result of the contents of the Bookkeepers' Podcast. The 6 Figure Bookkeeper Ltd disclaims all liability and responsibility arising from any reliance placed on any of the contents of the Bookkeepers' Podcast. Chapters: 00:00:00 - Introduction 00:00:43 - Software Subscriptions and Workflow 00:01:28 - Xero's Workflow 00:02:36 - Xero Analytics and SIFT Analytics 00:04:00 - Advisory Services 00:05:39 - The Human Connection Service 00:06:21 - The Role of Technology in Workflow 00:08:42 - Choosing the Right Tool 00:12:29 - Interview with Bogdan Uzbekov from Aprin 00:13:05 - Identifying the Bottlenecks 00:14:09 - Using Aprin to its Fullest Potential 00:15:23 - The Impact of Books Club 00:17:46 - The Role of AI in Professional Services 00:18:51 - The Shift to Advisory Services 00:20:06 - Interview with Lee Russell 00:20:21 - The Journey of Tech Startups 00:21:54 - The Importance of AI in Business 00:23:15 - The Challenges of Implementing AI 00:24:22 - The Value of Bootstrapping 00:27:26 - The Future of Bookkeeping and Accountancy Practices 00:30:26 - Leveraging AI in Business 00:31:35 - The Humanistic Side of Business 00:31:52 - Efficiency and Client Relationships 00:34:01 - Interview with Special Guest 00:34:18 - Understanding the Importance of Advisory Finance 00:35:08 - The Value of Awareness and Key Metrics 00:36:31 - The Role of Bookkeepers in Awareness 00:39:18 - Closing Remarks #bookkeeper

Scaling a financial advisory practice often forces a choice between capping growth or building a large, people-heavy infrastructure. Today's guest challenges that conventional wisdom, pulling back the curtain on how he scaled his firm to nearly $2 million in revenue with only one recent full-time hire. Ryan Townsley is the owner of Town Capital, an RIA based in Bel Air, Maryland, that oversees approximately $200 million in assets under management across 155 client households. In this episode, Ryan shares how he shattered traditional solo advisor capacity limits by aggressively outsourcing non-client-facing operations like IT, compliance, and trading management. He breaks down the precise mechanics of his "time segmentation" retirement income portfolios, why he implements a mandatory client "slush fund," and how he utilizes a deeply integrated AI tech stack to automate meeting prep, draft workflows, and systematically build standard operating procedures out of his everyday client interactions. For show notes and more visit: https://www.kitces.com/499     

Artificial Intelligence is buzzy. There's a lot about it in the news and a lot we think we understand about how to use it and a lot we may not fully understand. But the promise it holds is tremendous, and today we're going to learn a little more about how it could benefit breast cancer research and patient care in the near future. Drs. Charles Perou at UNC Chapel Hill and Erika Crosby at Duke University are two very accomplished breast cancer researchers who are joining us today to share their perspectives on using AI now and in the future. Key takeaways AI is improving breast cancer screening and diagnosis. Researchers are using AI to save time on coding, writing, and data analysis. AI can help match patients to clinical trials more effectively. Human expertise is still needed to verify AI-generated results. AI has the potential to accelerate research and improve patient care. Chapters 00:00 — Introduction to AI in Breast Cancer Research 02:53 — Ethical Considerations and Responsible AI Use 04:33 — Current Clinical Applications of AI 08:12 — How Researchers Are Using AI in the Lab 11:17 — AI Limitations, Mistakes, and Critical Thinking 17:23 — The Future of AI-Assisted Cancer Research Learn more at realpink.komen.org and komen.org Real Pink, by Susan G. Komen, shares real stories and expert insights to support people navigating breast cancer, from diagnosis through survivorship.

This episode comes to you live from the NCM Fuel the Future FixedOps Summit, where the conversation focused on how innovation and collaboration are building a stronger foundation for dealership success. The discussion explored VinQ's efforts to break down communication barriers between variable and fixed ops, leveraging advanced tech and AI to turn inventory management into a data-driven process, not a guessing game.A key theme that emerged was the transformative power of accurate reconditioning estimates and tighter variable-fixed integration for maximizing profit and reducing costly variance. Several points were raised, including how technology is helping parts and service departments operate like co-pilots rather than siloed teams, empowering every team member to deliver exponentially greater results without siloed “trial and error” approaches.If you're passionate about fixing the foundation of your dealership operations—stocking smarter, reducing surprise costs, and giving your team better tools—this episode is a must-listen.--------------------------------------------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

Open source AI models just hit 41% of Hugging Face downloads — and the real cost gap is 90% or more. Here's what that means for your business.The numbers moved fast this week. Chinese open-weight models now dominate downloads, the quality gap versus closed models has shrunk to 3.3%, and a new repo opens on Hugging Face every seven seconds. Half of the Fortune 500 is already running open source models in production.Isar walks through the new frontier open models Kimi K3 and DeepSeek V4, Thinking Machines Lab's first release, Satya Nadella's Token Capital essay, the new state-level AI laws in New York and Illinois, BCG's AI at Work report, and the Apple lawsuit hanging over OpenAI's hardware plans.In this session, you'll discover:Why Chinese open-weight models now account for 41% of Hugging Face downloadsHow Kimi K3 and DeepSeek V4 price against top US closed models ($15 vs $50 per million output tokens, down to 87 cents)What Satya Nadella's "Token Capital" and reverse information paradox mean for your company's dataWhat New York's data center moratorium and Illinois Senate Bill 315 change for AI companiesWhy BCG found that AI strategy beats tool access — and 72% of CEOs now own the AI decisionBCG "AI at Work: Strategy Matters More Than Tools" — the 12,000-person study covered in this episode — https://www.bcg.com/publications/2026/ai-at-work-why-strategy-matters-more-than-toolsAI 2040 "Plan A" paper — the 90-page proposal to delay superintelligence until 2040 discussed in the rapid fire — https://ai-2040.com/About Leveraging AIThe 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/eventsIf 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!

Finally doing a solo episode! 'Bout time.I talked to 18 CMOs / Mktg VPs for 9 hours about what is super intense for them right now and then I analyzed what I heard and packaged it up for you. Here's the report. Let me know if you have any questions as you review + please share with your team and your marketing leader friends.Jump in:00:00 - Intro to the research00:33 - The motivation behind exploring in-depth insights01:14 - The "Aha Moment" skill for finding truths 01:57 - The scoring system02:45 - The mess AI leaves behind03:11 - What's going well05:09 - The surprising top needs06:02 - Governance over AI06:27 - The debate: buy or build07:07 - Internal marketing is even more important today07:53 - The challenge of product builds outpacing marketing playbooks08:13 - Leadership burnout08:41 - Visibility concerns from AI search and zero click09:02 - The bottleneck of editing content produced by AI10:04 - Creating a clear AI governance system to help avoid chaos11:35 - Product survival in an AI future12:38 - Example of a company moving towards in-house tool development13:32 - The importance of differentiation, distinction, positioning, story, brand14:06 - Winning through relationships, outcomes, and showing up at the right moments (memorable)15:01 - The case for powerful storytelling and brand15:38 - Organizational shifts - the org chart is changing16:11 - The impact of AI on headcount and organizational structures16:33 - CEOs' perspectives on AI replacing marketing jobs and the potential fallout17:19 - Leveraging AI to scale teams20:23 - The overall mood is that two things are trueSubscribe to Building With Buyers on Apple or Spotify or wherever you like to listen, and don't forget to leave a review if you're lovin' the show.marketing leaders intense needs report: https://marketing-needs-synthesis.vercel.app/Anna on LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠linkedin.com/in/annafurmanov⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠furmanovmarketing.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠One Insight⁠⁠⁠

Listen to this fascinating discussion about Rebecca, who is a cancer biologist researcher. We discuss AI and how it affects her cancer research and discuss many different aspects of AI in healthcare from insurance to grants to funding to barriers to ethics to security. If you are at all interested in the future of AI, I think you will really enjoy this discussion.

David is a veteran cybersecurity executive with more than 30 years of experience and currently serves as Chief Information Security Officer after previously leading Oracle's SaaS Cloud Security organization. David has held leadership roles at Microsoft and Google Cloud, helping build and secure some of the world's largest cloud platforms. He's also a former U.S. Navy electronic warfare specialist, an inventor with more than 30 security patents, and now serves as both a Chief Information Security Officer and Venture Partner.00:00 Intro02:50 Our Guest05:50 The Evolution of Technology and Coding10:55 AI's Role in Software Development and Security16:07 DevSecOps and Cloud Security Architecture18:35 The Future of Vulnerabilities and Human Factors in Cybersecurity21:22 The Value of Veterans in Cybersecurity22:21 Maturing Organizations in Cybersecurity23:20 Understanding Risk and Maturity Models24:51 Simplicity in Cybersecurity Practices25:27 Challenges for Small and Medium Enterprises27:05 Adopting AI in Organizations29:58 Data Leakage Prevention Strategies32:01 Third Party Risk Management35:02 Concerns with Embedded Systems37:50 Emerging Threats in Cybersecurity39:58 The Future of Cyber Threats43:27 Leveraging AI for Enhanced Capabilities

cityCURRENT Nashville partner, Eric Jackson, Founder and CEO of Element 47, who highlights the branding, marketing, and advertising agency that focuses on strategy and helping businesses grow through clear brand positioning. Eric defines brand as the gut feeling people have about a company, which cannot be fully controlled but can be influenced through identity elements like logo and colors, along with culture and user/customer experience. Eric emphasizes the importance of simplicity and culture in branding, explaining that businesses must clearly articulate what makes them unique and special in their market to be remembered. He talks about three questions every owner should answer fast: Who are you? What do you do? Why does it matter? Eric discusses how to create effective "wow statements" for businesses to clearly communicate their value and differentiation. He uses Skillway Founder and CEO Dew Tinnin's "We help you crush your sales goals and love what you do" as an example of a clear, impactful wow statement. Eric advises using simple language without industry jargon, focusing on outcomes rather than processes, and making the statement everywhere from physical spaces to social media. He emphasizes that people buy outcomes rather than processes, and the key is to create curiosity by highlighting what the business delivers, not how they deliver it. Eric discusses Element 47's strategic approach to using AI, particularly with Claude, where Eric treats it as a sparring partner rather than a copy-paste tool. Eric explains how he uses AI to conduct advanced research and generate referral lists through LinkedIn Sales Navigator, creating targeted referral lists for introductions from fellow cityCURRENT partners. The conversation concludes with Eric sharing contact information for Element 47, including their website element47.co, where interested parties can learn more about their services and connect with the team. Visit https://element47.co to learn more and connect with Element 47.

Could one AI model save you weeks of work—or even reshape how you run your business?After spending two weeks putting Claude Fable 5 through real-world business challenges, the answer surprised me. This wasn't about writing better prompts or generating content faster. It was about handing complex, multi-step strategic work to AI and getting back solutions that would normally require weeks of research, multiple consultants, and significant investment.In this episode, I share exactly how I approached Fable 5, which projects produced the highest ROI, where it exceeded expectations, where it failed, and the framework I'll continue using once usage moves to token-based pricing.In this session, you'll discover:Why Claude Fable 5 feels less like a chatbot and more like a senior strategist.The framework I used to identify the highest-ROI AI projects across my business.How Fable delegated work to less expensive models to dramatically reduce costs.Real examples where hours—or even weeks—of work were completed in under an hour.Why long-running AI workflows are becoming a competitive advantage.The biggest strengths (and surprising weaknesses) I discovered during two weeks of intensive testing.How to decide when premium AI models are actually worth the investment.Why measuring business ROI matters more than chasing the newest AI model.The mindset shift every business leader needs as AI moves from assistant to orchestrator.If you're evaluating whether advanced AI is worth the investment for your business, this episode provides a practical, experience-based playbook—not hype. Whether you're building workflows, scaling operations, or looking for your next competitive advantage, you'll walk away with ideas you can apply immediately.About Leveraging AIThe 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/eventsIf 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!

During this episode, Dr. Grant Stucki is joined by Dr. Anish Gupta, a private practitioner based in Michigan, to discuss the practical applications of AI in oral surgery. To start, they discuss how AI can support practitioners with medical compliance by streamlining the note-taking and documentation process. Next, they discuss the value of automation and how AI can support efficiency and time-saving. They also explore patient sign-off for real-time recording and why it's important for practitioners to understand that AI is not accurate 100% of the time, as well as how to work around this reality. Dr. Gupta shares how he uses AI in other areas of his life to help save time and tend to tedious tasks. More broadly, this conversation explores the value of AI and how to begin to find the areas where it can make life easier for you. Key Points From This Episode:How Dr. Gupta built his career in oral surgery and how he first became interested in AI. Leveraging AI for note taking and documentation. Why automation is so valuable to Dr. Gupta's practice. How he approaches patient sign-off for AI recordings.Understanding that AI is not accurate 100% of the time. Other time-saving uses of AI.AI for tracking progress and trends in dental surgery. Time-savers Dr. Gupta uses AI and generative AI for in other areas of his life. Why it is advisable to experiment with AI. Dr. Gupta's book recommendation: The Next Conversation by Jefferson Fisher. How learning the guitar might have improved his hand skills. The role of exercise and stretching in supporting his work.Why he uses a 150 to extract tooth number 4. A series he keeps revisiting: Ted Lasso. The Jefferson quote he lives by. A tip for your parenting journey. Links Mentioned in Today's Episode:Lyon Dental Implants — https://lyondentalimplants.com/ Lyon Dental Implants Email — lyondentalimplants@gmail.com Lyon Dental Implants Cellphone — 248-895-1451 Kubo Surgical — https://www.kubosurgical.com/ Abridge AI — https://www.abridge.com/ Plaud AI — https://www.plaud.ai/ Overjet AI — https://www.overjet.com/ Denti AI — https://www.denti.ai/ Oryx Dental Software — https://www.oryxdental.com/ Carestack — https://carestack.com/ Dentiq — https://www.dentiqsolution.com/ Blue Sky Bio — https://blueskybio.com/ Implant Concierge — https://implantconcierge.com/ Canva — https://www.canva.com/ Claude — https://claude.ai/ The Next Conversation — https://www.amazon.com/Next-Conversation-Argue-Less-Talk/dp/0593718720 The Jefferson Fisher Podcast — https://www.jeffersonfisher.com/podcast Ted Lasso — https://www.imdb.com/title/tt10986410/ Everyday Oral Surgery Website — https://www.everydayoralsurgery.com/ Everyday Oral Surgery on Instagram — https://www.instagram.com/everydayoralsurgery/ Everyday Oral Surgery on Facebook — https://www.facebook.com/EverydayOralSurgery/Dr. Grant Stucki Email — grantstucki@gmail.comDr. Grant Stucki Phone — 720-441-6059

Episode 435 of The VentureFizz Podcast features Kojo Osei, Partner at Matrix. The venture capital industry originated back in 1946 in the Boston area, when The American Research and Development Corporation was founded by MIT president Karl Compton and Harvard professor Georges Doriot. From that point, an industry was born, and firms were created, but very few have had the lasting impact and track record as Matrix, one of the OG firms that helped institutionalize this industry. The firm has a tremendous track record through the years making investments in legendary companies like Apple and FedEx… plus category creators like HubSpot, Zendesk, and Oculus… or current investments like Canva, Suno, GOAT, and Flock Safety. Matrix is investing out of its 12th fund, an $800M fund for seed and Series A investments, and the firm continues to have a strong presence on both coasts. Kojo is a Stanford grad, who was the Head of Product at Sirona Medical, the AI operating system for radiologists, before becoming a VC. Now based in NYC, Kojo has been an investor with Matrix for over five years. Some areas of interest these days for investments include agent-driven commerce, how the software infrastructure is getting rebuilt for agents, and model application integrated companies. His investments include companies like Channel3, BoldVoice, Ampersand, and LM Studios. Chapters: 00:00 Introducing Kojo Osei, Partner at Matrix 03:24 What is Agent Driven Commerce 09:45 Koji's background & Early Career 13:20 Joining Matrix as a VC 14:37 Advice for Aspiring Venture Capitalists 17:05 The First Year in Venture Capital 20:26 Details about Matrix's 25:01 Investment Areas of Interest for Kojo 27:48 The Art of the Cold Email to a VC 34:17 Exploring the 'Why Now' Philosophy 37:59 AI: Current State and Predictions 42:06 Common Mistakes Founders Make 44:23 GTM for Developer Products 48:11 Leveraging AI in Daily Workflow 49:23 Kojo's Recommendation & Personal Interests Podcast Sponsor: This podcast is brought to you by one of the strongest longtime supporters of the local startup ecosystem, Silicon Valley Bank, a division of First Citizens Bank. With more than 1,500 bankers and relationship advisors and $44B in loans as of Q4 2025 – SVB delivers expert guidance, specialized products and a team that knows the innovation economy inside and out. Learn more at SVB.com.

Can AI keep getting smarter while becoming dramatically cheaper?This week may go down as the biggest release week in AI history. OpenAI, Meta, SpaceX AI, and Anthropic all introduced major new models and capabilities but the biggest story isn't just who launched what. It's the dramatic shift toward lower-cost, highly capable AI and what that means for every business.In this episode, Isar Meitis breaks down the week's biggest announcements, explains why the AI race is moving beyond benchmark scores toward cost-efficient agentic systems, and explores how these changes are reshaping enterprise adoption, workforce roles, and the future competitive landscape.In this session, you'll discover:Why this may have been the biggest AI release week ever.OpenAI's latest releases, including GPT-5.6, GPT Work, and GPT Live.Meta's surprise entry with Muse Spark 1.1 and why it's turning heads.SpaceX AI's Grok 4.5 and the growing focus on performance at dramatically lower costs.Why AI companies are shifting from "best model" to "best value."What falling AI costs mean for enterprise adoption and ROI.How businesses should think about model routing and using the right AI for the right task.The rise of agentic AI and why autonomous execution is becoming the new competitive battleground.The geopolitical implications of AI model restrictions between the U.S. and China.About Leveraging AIThe 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/eventsIf 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!

What if the biggest thing holding back your AI results isn't your prompts... it's your workflow?Most people treat AI like a chatbot—opening a new conversation, asking a few questions, and starting over the next day. The result? Lost context, inconsistent outputs, and hours wasted trying to recreate work that's already been done.In this episode of Leveraging AI, Isar Meitis is joined by AI strategist Loren Bartley to reveal a smarter way to work. You'll discover how to build AI Projects that remember your context, organize your work, coordinate multiple AI conversations, and become a true operating system for your business—not just another chat window.Whether you're using Claude to manage clients, marketing campaigns, business operations, or strategic initiatives, this conversation will completely change how you think about working with AI.In this session, you'll discover:What Claude Projects are—and why they're one of the most underused AI features available.How to build AI workspaces that retain context and deliver consistently better results.Loren's "Command Center" framework for managing multiple AI conversations without losing track of work.How AI Skills can automate project setup, documentation, and workflow management.Simple organization hacks that make working with AI faster, cleaner, and more scalable.Loren Bartley is an AI strategist, marketing expert, and founder of Digital Business Momentum. She helps organizations move beyond basic prompting to build practical AI systems that improve productivity, streamline operations, and scale business workflows.Connect with Loren on LinkedIn:https://www.linkedin.com/in/lorenbartley/ 

Episode 434 of The VentureFizz Podcast features Ted Julian, CEO & Founder of Flux. Lots of successful people are very humble. They might credit their success to timing, luck, or another reason to downplay things which is a trait that I do admire. Ted fits the bill here, as he's very humble. But, as you'll hear in this podcast interview, his track record is extraordinary. He's been part of the founding team or leadership team for not 1, not 2, not 3… but 4 exits. Very few, if any, have that type of track record in Boston. It's obvious that he knows how to time the market with the right product and build an exceptional team to execute and scale. That is exactly why I am so incredibly excited about what he is working on right now. With the current paradigm shift to AI, there is a rare opportunity for proven founders to swing for the fences and build massive anchor tech companies in Boston. Ted's latest company is Flux, which recently announced $5M in funding round led by Calibrate Ventures, with participation from True Ventures and Glasswing. They have built a code-first engineering intelligence platform that gives engineering leaders ground-truth visibility into the work actually happening across today's complex, AI-accelerated codebases. Think of it this way: Salesforce completely digitized the sales pipeline, HubSpot digitized the marketing funnel… now, with AI tools helping developers ship code faster than ever before, Flux provides the missing system of record to ensure engineering organizations are optimized with less risk and are aligned with business outcomes. Chapters 00:00 Introducing Ted Julian - CEO & Founder of Flux 03:44 Lessons Learned Around GTM Strategies & Getting Early Adopter Customers 06:58 Ted's Background and Getting his Career Started 07:32 Co-Founding @ Stake & Amazing Alumni 09:26 Other Exits 14:38 Ted's Philosophy of Entrepreneurship 19:34 Why He Keeps Building 22:27 Details on Flux: Transforming Engineering with AI 27:41 Flux's Recent $5M Round of Funding & What's Next 30:23 Their fundraising process 33:53 Leveraging AI in his personal life 36:32 Hobbies outside of work

Welcome to another episode of The Cashflow Project podcast! In this episode, the conversation focused on the journey of serial entrepreneur DJ Carroll, who transformed his frustration with expensive advertising into a multimillion-dollar ad tech business and has amassed millions in real estate holdings. The discussion explored DJ's path from starting a lawn care company right out of high school, to navigating the ups and downs of business (including losing a significant investment in a fitness center), and ultimately, to building Carroll Media Group and innovating in the world of AI-driven marketing solutions. A key theme that emerged was the value of learning from failures, the importance of adapting to new technology—especially AI—and developing the mindset of a true entrepreneur. Listeners will take away actionable advice on real estate investing, personal growth, leveraging AI for business, and the necessity of pushing beyond their comfort zones to unlock new opportunities. [00:00] Turning Down Football Scholarships [03:09] First real estate experiences [06:34] Selling my gym property [12:06] Learning from DJ's mistakes [14:58] Creating AI assistant Ally [15:45] Leveraging AI for productivity [20:36] Importance of learning to code [24:23] Overcoming poverty and choosing success [26:16] Entrepreneurship as a last resort [30:15] The importance of networking [34:08] Reflecting on youthful spending choices [37:46] Supporting DJ Carroll and his book [38:29] Monthly local meetups and feedback Connect with DJ Carroll! Website LinkedIn Instagram Connect with The Cashflow Project! Website LinkedIn YouTube Facebook Instagram

Get my new book: https://bronsonequity.com/fireyourselfDownload my new special report - How to Use Inflation to Your Advantage - www.bronsonequity.com/inflationIn this webinar replay of The Mailbox Money Show, Bronson welcomes a special panel to explore "Alternative Energy & Tax Advantaged Assets Investing for High Returns in 2026."The discussion covers opportunities in alternative energy, creative tax strategies, deal flow in shifting markets, and building resilient, high-return portfolios through diversified, tax-efficient investments.Panelists:James Rainwater – Expert in alternative energy investments.Ravi Katta – Specialist in tax-advantaged and structured investment strategies.Tom Wheelwright – Renowned tax strategist and author focused on wealth-building through smart tax planning.Ideal for investors seeking strong returns while minimizing taxes in today's environment.TIMESTAMPS0:41 - Welcome!1:24 - Bronson Equity Promo Video2:32 - Panelist Welcome3:54 - Multifamily Market Challenges and Supply Issues9:17 - Capital Raising Strategies in Uncertain Times14:35 - Non-Correlated and Alternative Assets17:03 - Survive Till '25 and Multifamily Recovery Outlook25:51 - Deal Sourcing Difficulties and Buying Opportunities30:20 - Shifting to Debt Funds, Industrial, and Medical Investments34:48 - Biggest Challenges with Alternative Investing35:28 - Vetting Deals and Operators39:49 - Leveraging AI as an Investor47:28 - Bonus Depreciation and Tax Strategies50:34 - AI Tools and Resources54:35 - Closing & How to ConnectConnect with the Guests:James RainwaterEmail: info@rainwatercpa.comRavi KattaLinktree: https://linktr.ee/rkattaTom WheelwrightEmail: team@wealthability.com#MultifamilyInvesting#AlternativeAssets#CapitalRaising#TaxStrategies#AIinInvesting#DealFlow#PassiveIncome

Episode 433 of The VentureFizz Podcast features Roy Hotrabhvanon, CEO & Co-Founder of PlayerData. Some companies seem like they were just meant to happen, which is certainly the case for PlayerData. Back in 2016, Roy was on track to compete in the Rio Olympics for archery when a severe car accident completely derailed his plans. But instead of letting that tragic incident define him, Roy picked himself up and built a tech company around the specialized performance tracking tools he had originally hacked together to train his own body. He was using sensors and data to optimize his performance, which certainly was not common practice back then. His firsthand experience seeing what hardware, software, and data could do for athletes sparked the foundation for PlayerData, and his timing turned out to be absolutely perfect. Fast forward, PlayerData helps athletes at every stage of their game build confidence, stay healthy, and work smarter with the company's world-class performance tracking technology. The company recently announced a $12M from Kevin Durant's 35V, Tennis Australia, Darco Capital, and Pentland Ventures, and what is also really exciting, they announced the move of their U.S. headquarters from Philadelphia to Boston. As you'll hear from this interview, PlayerData is relentlessly innovating. In addition to their core wearable tracking platform, they recently partnered with Mitre to launch the world's first GPS-enabled "Connected Ball" which is FIFA certified. Now, coaches, trainers, and athletes have even more data to optimize training and performance. In this episode of our podcast, we cover lots of great topics, including: Chapters: 00:00 Introducing Roy Hotrabhvanon, CEO & Co-Founder, PlayerData 04:33 Fundraising for a Hardware / Software company in the sports industry 07:37 Roy's background - Growing up in Thailand 11:02 Meeting his PlayerData Co-Founder, Hayden Ball 11:39 What he was tracking that led to starting PlayerData 13:40 The early days of PlayerData 18:30 "Hardware is Hard" - Experience building hardware in the sports space 24:12 PlayerData today - Details on the Company and how it works 27:22 Collecting data in practice and real game situations 28:48 The platform's ease of use and portable nature 31:29 Details on the cloud-first tech behind the data 34:24 Leveraging AI for Enhanced Coaching 35:39 Strategic Expansion into the US Market 36:54 Why Roy chose Boston for their US Headquarters 37:48 Scaling Operations and Team Growth 38:57 Go-to-Market Strategies for Broad Accessibility 41:00 What's next for PlayerData 41:48 Advice for Founders in the Sports Tech Industry 43:03 Integrating AI into Daily Operations 44:17 3 Apps Roy Can't Live Without 45:29 Book / Podcast Recommendations 46:00 What He Does for Fun Outside of Work

In this episode of the Grow A Small Business Podcast host Troy Trewin interviews Heather Gibson, founder of Big Heart Breeders, shares how a family's love for pets evolved into a thriving business generating over $700,000 annually with a team of 10. She discusses her journey from solopreneur to business owner, the challenges of hiring and delegation, and the importance of building the right team. Heather also reveals how Google marketing, SEO, and AI tools have fueled her growth. The conversation explores lessons in leadership, work-life balance, and creating a meaningful impact through pet breeding, nutrition, and education. Why would you wait any longer to start living the lifestyle you signed up for? Balance your health, wealth, relationships and business growth. And focus your time and energy and make the most of this year. Let's get into it by clicking here. Troy delves into our guest's startup journey, their perception of success, industry reconsideration, and the pivotal stress point during business expansion. They discuss the joys of small business growth, vital entrepreneurial habits, and strategies for team building, encompassing wins, blunders, and invaluable advice. And a snapshot of the final five Grow A Small Business Questions: What do you think is the hardest thing in growing a small business? Heather Gibson shares that the hardest part of growing a small business is staying consistent and having the grit to keep going when results are not immediate. She explains that while some businesses appear to achieve overnight success, most growth comes from years of steady effort and learning. Heather believes that persistence, the right mindset, and showing up every day are what ultimately create opportunities for breakthrough growth. What's your favorite business book that has helped you the most? Heather Gibson shares that the business book that has helped her the most is Who Not How by Dan Sullivan and Benjamin Hardy. She explains that the book transformed her mindset around hiring and delegation, teaching her that business success comes from finding the right people to help achieve goals rather than trying to do everything yourself. Are there any great podcasts or online learning resources you'd recommend to help grow a small business? Heather Gibson shares that she enjoys learning from a variety of podcasts and online resources that focus on business growth, mindset, and practical implementation. She specifically mentions the Grow A Small Business podcast as a valuable resource and emphasizes the importance of continuously learning from experienced entrepreneurs, coaches, and industry experts to stay ahead in a rapidly changing business environment. What tool or resource would you recommend to grow a small business? Heather Gibson recommends AI as one of the most powerful tools available to small business owners today. She highlights tools like Claude for copywriting, Gemini for image creation, and ChatGPT for a wide range of business tasks. Heather believes AI can dramatically improve productivity, provide valuable business insights, and help small businesses compete more effectively while saving both time and money. What advice would you give yourself on day one of starting out in business? Heather Gibson shares that if she could give advice to herself on day one, she would say, "Buckle in and get ready for a wild ride." She never imagined her business would grow to its current size and emphasizes that entrepreneurship comes with both difficult and rewarding seasons. Her advice is to stay resilient during the tough times, enjoy the successful moments, and always plan ahead for future challenges.  Book a 20-minute Growth Chat with Troy Trewin to see if you qualify for our upcoming course. Don't miss out on this opportunity to take your small business to new heights! Enjoyed the podcast? Please leave a review on iTunes or your preferred platform. Your feedback helps more small business owners discover our podcast and embark on their business growth journey.     Quotable quotes from our special Grow A Small Business podcast guest: My hires don't have to do things exactly the way I do—if they can do it 80% as well, that's a great hire — Heather Gibson Success isn't about the numbers; it's about the value you create and the lives you impact — Heather Gibson The biggest breakthroughs in business come from consistent effort, continuous learning, and the courage to keep going — Heather Gibson      

Is your business ready for a world where AI doesn't just answer questions—but gets the work done?The age of agentic AI has officially arrived. Companies are rapidly shifting from chat-based AI to autonomous AI agents capable of completing hours of work with minimal human involvement. The organizations that adapt early are likely to gain a significant competitive advantage, while those that hesitate risk falling behind.In this episode, Isar Metis unpacks the biggest AI developments of the week—from OpenAI's dramatic internal transformation and Anthropic's latest enterprise agent, to the growing talent war between leading AI labs and breakthrough healthcare applications. More importantly, he explains what these changes mean for business leaders and how to prepare your organization for the next phase of AI adoption.In this session, you'll discover: Why OpenAI has shifted almost entirely to agentic AI internally.  What the end of Custom GPTs means for businesses.  How Anthropic's Claude is becoming a true AI teammate inside Slack.  The biggest challenges around AI governance, security, and trust.  Why AI agents are creating new budgeting and infrastructure challenges.  The growing competition for top AI researchers—and why it matters.  Healthcare breakthroughs showing AI's real-world impact.  Practical steps every business leader should take today to prepare for an agentic future. If you're leading a team, shaping AI strategy, or simply trying to stay ahead of one of the fastest technology shifts in history, this episode will help you separate the hype from the practical reality.About Leveraging AIThe 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/eventsIf 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!

We have more fitness information than ever before—podcasts, apps, AI, social media, wearables, coaching programs, and endless content at our fingertips. So why are so many people still struggling? In this episode of The Fitness League Podcast, Josh, Alessandra, and Joelle unpack one of the biggest paradoxes in modern health and fitness: the gap between knowing and doing. We explore why access to information rarely creates lasting change, how the coaching industry has evolved over the years, and where AI fits into the future of health and behavior change. Identify Your Gap Quiz https://quiz.fitnessleagueapp.com/identify-your-gap L5 Health Score Quiz https://score.lvltnhealth.com/ The Fitness League app https://www.fitnessleagueapp.com/ Join the Facebook Community: https://www.facebook.com/groups/lvltncoaching Alessandra's Instagram: http://instagram.com/alessandrascutnik Joelle's Instagram: https://www.instagram.com/joellesamantha?igsh=ZnVhZjFjczN0OTdn Josh's Instagram: http://instagram.com/joshscutnik Chapters 00:00 Introduction to the Fitness League Podcast 06:58 The Information Overload Dilemma 13:28 Execution vs. Information: The Real Challenge 14:40 Finding the Right Strategy for Sustainable Progress 16:26 Finding the Right Approach to Fitness 17:13 The Role of AI in Coaching 20:53 The Shift from Online to In-Person Coaching 23:32 Evolving Coaching Practices 27:15 The Importance of Personalized Coaching 29:10 Building a Diverse Coaching Team 32:02 Leveraging AI as a Tool, Not a Feature

In This Episode of Business Lunch: We explore the latest in AI tools, how they're using them for content creation, research, and business automation, and share practical tips for integrating AI into your workflow.Chapters:00:00 Navigating Parenthood and Business Challenges02:59 Leveraging AI for Content Creation05:57 Exploring AI Tools and Their Applications08:51 Choosing the Right AI Tools for Your Needs11:54 Integrating AI with Personal Knowledge Management14:53 The Role of Obsidian in AI Workflows21:30 The Role of AI in Coding and Management22:52 Understanding Client Needs and AI Utilization24:41 Navigating AI Tools: Productivity vs. Complexity26:35 Exploring AI Platforms and Their Unique Features28:30 Researching with AI: Tools and Preferences30:53 The Future of AI Content Creation32:45 Personalizing AI Interactions for Better Outcomes39:14 The Importance of Human Touch in AI-Driven Content42:20 AI as an Essential Tool for Business LeadersConnect with me on social:TikTok: Check out my TikTok HereInstagram: Check out my Instagram HereFacebook: Check out my Facebook HereLinkedIn: Check out my LinkedIn HereSubscribe to my YouTube