Podcasts about Hiring

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Katelyn Rhoades. Shared how she transformed a $750-per-month social media side hustle into a seven-figure business. As a visibility strategist and founder of Influence Marketing Studio, she explained how entrepreneurs can leverage social media, personal branding, and consistent content creation to build audiences, create opportunities, and generate revenue. Her story demonstrates that location, background, and resources are no longer major barriers to success when visibility and digital platforms are used strategically. Purpose of the Interview The interview was designed to: Show how social media can be used to create business opportunities. Teach entrepreneurs the importance of visibility and personal branding. Demonstrate how a side hustle can become a scalable business. Help listeners understand the fundamentals of social media marketing. Inspire people to overcome fear and take action on their business ideas. Explain how content creation can lead to multiple streams of income. Key Takeaways 1. Visibility Creates Opportunity Katelyn's central message is that people cannot buy from, hire, or recommend someone they do not know exists. By consistently showing up online and sharing expertise, entrepreneurs can attract clients, partnerships, media opportunities, and new revenue streams. 2. Start Before You're Ready Katelyn did not begin with a detailed business plan, funding, or a built-in audience. She started by sharing simple social media marketing tips online and learning through action. Her success came from consistent execution rather than waiting for perfect conditions. 3. Social Media Is the Most Accessible Marketing Tool She stressed that platforms such as Instagram, Facebook, TikTok, and YouTube provide entrepreneurs with free access to large audiences. People can build businesses simply by sharing valuable knowledge and expertise consistently. 4. Focus on One Platform First Rather than trying to master every social channel simultaneously, Katelyn recommends choosing one platform and becoming exceptionally good at it. This focused approach allows entrepreneurs to learn faster and build authority more quickly. 5. Monetization Begins by Solving Problems As her audience grew, followers began asking her questions about social media growth. Instead of continuing to answer those questions for free, she packaged her expertise into paid consulting services and coaching calls. Her success shows that demand often reveals itself through audience questions. 6. Learn Skills Using Free Resources Katelyn emphasized that modern entrepreneurs have access to unprecedented learning opportunities through: YouTube AI tools Online tutorials Free educational content She believes anyone can acquire valuable skills if they are willing to invest the time. 7. Multiple Revenue Streams Grow Naturally What started as social media management evolved into: Agency services Coaching Content creation Brand partnerships Sponsored content Podcasting Digital products She views business growth as a domino effect where visibility creates additional opportunities. 8. Organic Marketing Still Works Unlike many marketers who rely heavily on paid advertising, Katelyn built her business largely through organic content and relationship-building. Her strategy focuses on: Authenticity Consistency Audience engagement Value-driven content 9. Almost Any Interest Can Become a Business One of her strongest points was that people often dismiss their expertise or hobbies as insignificant. Katelyn believes there is an audience for nearly every niche, provided there is genuine demand and a clear way to help people. 10. Mistakes Are Part of Success Katelyn openly discussed her challenges, including: Navigating a lawsuit related to content usage Learning copyright rules Hiring mistakes Holding on to employees too long She credits those experiences with making her a stronger entrepreneur. Key Themes Entrepreneurship Through Visibility The interview repeatedly underscores the idea that online visibility is no longer optional for entrepreneurs seeking growth. Personal Branding Building a recognizable personal brand can create opportunities that extend far beyond an initial service offering. Action Over Perfection Taking imperfect action consistently is more valuable than waiting for the perfect plan. Audience-Driven Business Creation Successful entrepreneurs listen closely to what their audience is asking for and create solutions accordingly. Notable Quotes On Entrepreneurship "Visibility creates opportunity." On Finding Your Expertise "Is there something that you're passionate about that you know a lot about that you could talk about without getting sick of it?" On Growth "I decided I was going to go all in on that channel and just become the expert." On Learning "If there's a certain skill you want to learn, you need to go learn it. It's free. It's at your fingertips." On Consistency "If you want something bad enough, it can't be easy." On Overcoming Fear "My drive and my heart was so much bigger than that fear." On Visibility "Show up on social media." On Business Ideas "Listen to your audience." On Content Creation "You can monetize any hobby that you have." On Entrepreneurship "I honestly think you can monetize any hobby that you have." On Hiring "Hire slow, fire fast." On Leadership "When you know something's off, stop trying to make it work and just do the hard thing." Success Highlights Grew a $750-per-month side hustle into a seven-figure business. Built Influence Marketing Studio into a successful agency. Grew a substantial social media following through organic content. Secured major brand partnerships. Earned media recognition, including features in major publications. Developed multiple income streams through visibility and personal branding. Bottom Line Katelyn Rhoades' interview is a blueprint for building a modern business through visibility, content creation, and personal branding. Her journey proves that entrepreneurs do not need large budgets, major connections, or a big-city location to succeed. By consistently sharing expertise, listening to audience needs, and embracing opportunities, individuals can transform knowledge and passion into profitable businesses and long-term wealth. #SHMS #STRAW #BEST Money Making Conversations Master Class with Rushion McDonald is America's premier entrepreneurship, business leadership, financial literacy, and wealth-building podcast featuring successful entrepreneurs, executives, founders, celebrities, and industry experts sharing actionable insights for professional and financial success. Business Podcast Entrepreneurship Small Business Business Growth Financial Literacy Wealth Building Black Entrepreneurs Minority Business Leadership Executive Leadership Business Funding Marketing Strategies Personal Development Startup Advice Sales Training CEO Interviews Founder Stories Professional Development Economic Empowerment Business Success Networking Brand Building Innovation How to start a business Small business funding Entrepreneur success stories Business leadership podcast Wealth building strategies Black entrepreneur podcast Minority business development Marketing for small businesses Business growth strategies Startup funding opportunities Executive leadership training Financial literacy education Success mindset podcastSupport the show: https://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Katelyn Rhoades. Shared how she transformed a $750-per-month social media side hustle into a seven-figure business. As a visibility strategist and founder of Influence Marketing Studio, she explained how entrepreneurs can leverage social media, personal branding, and consistent content creation to build audiences, create opportunities, and generate revenue. Her story demonstrates that location, background, and resources are no longer major barriers to success when visibility and digital platforms are used strategically. Purpose of the Interview The interview was designed to: Show how social media can be used to create business opportunities. Teach entrepreneurs the importance of visibility and personal branding. Demonstrate how a side hustle can become a scalable business. Help listeners understand the fundamentals of social media marketing. Inspire people to overcome fear and take action on their business ideas. Explain how content creation can lead to multiple streams of income. Key Takeaways 1. Visibility Creates Opportunity Katelyn's central message is that people cannot buy from, hire, or recommend someone they do not know exists. By consistently showing up online and sharing expertise, entrepreneurs can attract clients, partnerships, media opportunities, and new revenue streams. 2. Start Before You're Ready Katelyn did not begin with a detailed business plan, funding, or a built-in audience. She started by sharing simple social media marketing tips online and learning through action. Her success came from consistent execution rather than waiting for perfect conditions. 3. Social Media Is the Most Accessible Marketing Tool She stressed that platforms such as Instagram, Facebook, TikTok, and YouTube provide entrepreneurs with free access to large audiences. People can build businesses simply by sharing valuable knowledge and expertise consistently. 4. Focus on One Platform First Rather than trying to master every social channel simultaneously, Katelyn recommends choosing one platform and becoming exceptionally good at it. This focused approach allows entrepreneurs to learn faster and build authority more quickly. 5. Monetization Begins by Solving Problems As her audience grew, followers began asking her questions about social media growth. Instead of continuing to answer those questions for free, she packaged her expertise into paid consulting services and coaching calls. Her success shows that demand often reveals itself through audience questions. 6. Learn Skills Using Free Resources Katelyn emphasized that modern entrepreneurs have access to unprecedented learning opportunities through: YouTube AI tools Online tutorials Free educational content She believes anyone can acquire valuable skills if they are willing to invest the time. 7. Multiple Revenue Streams Grow Naturally What started as social media management evolved into: Agency services Coaching Content creation Brand partnerships Sponsored content Podcasting Digital products She views business growth as a domino effect where visibility creates additional opportunities. 8. Organic Marketing Still Works Unlike many marketers who rely heavily on paid advertising, Katelyn built her business largely through organic content and relationship-building. Her strategy focuses on: Authenticity Consistency Audience engagement Value-driven content 9. Almost Any Interest Can Become a Business One of her strongest points was that people often dismiss their expertise or hobbies as insignificant. Katelyn believes there is an audience for nearly every niche, provided there is genuine demand and a clear way to help people. 10. Mistakes Are Part of Success Katelyn openly discussed her challenges, including: Navigating a lawsuit related to content usage Learning copyright rules Hiring mistakes Holding on to employees too long She credits those experiences with making her a stronger entrepreneur. Key Themes Entrepreneurship Through Visibility The interview repeatedly underscores the idea that online visibility is no longer optional for entrepreneurs seeking growth. Personal Branding Building a recognizable personal brand can create opportunities that extend far beyond an initial service offering. Action Over Perfection Taking imperfect action consistently is more valuable than waiting for the perfect plan. Audience-Driven Business Creation Successful entrepreneurs listen closely to what their audience is asking for and create solutions accordingly. Notable Quotes On Entrepreneurship "Visibility creates opportunity." On Finding Your Expertise "Is there something that you're passionate about that you know a lot about that you could talk about without getting sick of it?" On Growth "I decided I was going to go all in on that channel and just become the expert." On Learning "If there's a certain skill you want to learn, you need to go learn it. It's free. It's at your fingertips." On Consistency "If you want something bad enough, it can't be easy." On Overcoming Fear "My drive and my heart was so much bigger than that fear." On Visibility "Show up on social media." On Business Ideas "Listen to your audience." On Content Creation "You can monetize any hobby that you have." On Entrepreneurship "I honestly think you can monetize any hobby that you have." On Hiring "Hire slow, fire fast." On Leadership "When you know something's off, stop trying to make it work and just do the hard thing." Success Highlights Grew a $750-per-month side hustle into a seven-figure business. Built Influence Marketing Studio into a successful agency. Grew a substantial social media following through organic content. Secured major brand partnerships. Earned media recognition, including features in major publications. Developed multiple income streams through visibility and personal branding. Bottom Line Katelyn Rhoades' interview is a blueprint for building a modern business through visibility, content creation, and personal branding. Her journey proves that entrepreneurs do not need large budgets, major connections, or a big-city location to succeed. By consistently sharing expertise, listening to audience needs, and embracing opportunities, individuals can transform knowledge and passion into profitable businesses and long-term wealth. #SHMS #STRAW #BEST Money Making Conversations Master Class with Rushion McDonald is America's premier entrepreneurship, business leadership, financial literacy, and wealth-building podcast featuring successful entrepreneurs, executives, founders, celebrities, and industry experts sharing actionable insights for professional and financial success. Business Podcast Entrepreneurship Small Business Business Growth Financial Literacy Wealth Building Black Entrepreneurs Minority Business Leadership Executive Leadership Business Funding Marketing Strategies Personal Development Startup Advice Sales Training CEO Interviews Founder Stories Professional Development Economic Empowerment Business Success Networking Brand Building Innovation How to start a business Small business funding Entrepreneur success stories Business leadership podcast Wealth building strategies Black entrepreneur podcast Minority business development Marketing for small businesses Business growth strategies Startup funding opportunities Executive leadership training Financial literacy education Success mindset podcastSee omnystudio.com/listener for privacy information.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Katelyn Rhoades. Shared how she transformed a $750-per-month social media side hustle into a seven-figure business. As a visibility strategist and founder of Influence Marketing Studio, she explained how entrepreneurs can leverage social media, personal branding, and consistent content creation to build audiences, create opportunities, and generate revenue. Her story demonstrates that location, background, and resources are no longer major barriers to success when visibility and digital platforms are used strategically. Purpose of the Interview The interview was designed to: Show how social media can be used to create business opportunities. Teach entrepreneurs the importance of visibility and personal branding. Demonstrate how a side hustle can become a scalable business. Help listeners understand the fundamentals of social media marketing. Inspire people to overcome fear and take action on their business ideas. Explain how content creation can lead to multiple streams of income. Key Takeaways 1. Visibility Creates Opportunity Katelyn's central message is that people cannot buy from, hire, or recommend someone they do not know exists. By consistently showing up online and sharing expertise, entrepreneurs can attract clients, partnerships, media opportunities, and new revenue streams. 2. Start Before You're Ready Katelyn did not begin with a detailed business plan, funding, or a built-in audience. She started by sharing simple social media marketing tips online and learning through action. Her success came from consistent execution rather than waiting for perfect conditions. 3. Social Media Is the Most Accessible Marketing Tool She stressed that platforms such as Instagram, Facebook, TikTok, and YouTube provide entrepreneurs with free access to large audiences. People can build businesses simply by sharing valuable knowledge and expertise consistently. 4. Focus on One Platform First Rather than trying to master every social channel simultaneously, Katelyn recommends choosing one platform and becoming exceptionally good at it. This focused approach allows entrepreneurs to learn faster and build authority more quickly. 5. Monetization Begins by Solving Problems As her audience grew, followers began asking her questions about social media growth. Instead of continuing to answer those questions for free, she packaged her expertise into paid consulting services and coaching calls. Her success shows that demand often reveals itself through audience questions. 6. Learn Skills Using Free Resources Katelyn emphasized that modern entrepreneurs have access to unprecedented learning opportunities through: YouTube AI tools Online tutorials Free educational content She believes anyone can acquire valuable skills if they are willing to invest the time. 7. Multiple Revenue Streams Grow Naturally What started as social media management evolved into: Agency services Coaching Content creation Brand partnerships Sponsored content Podcasting Digital products She views business growth as a domino effect where visibility creates additional opportunities. 8. Organic Marketing Still Works Unlike many marketers who rely heavily on paid advertising, Katelyn built her business largely through organic content and relationship-building. Her strategy focuses on: Authenticity Consistency Audience engagement Value-driven content 9. Almost Any Interest Can Become a Business One of her strongest points was that people often dismiss their expertise or hobbies as insignificant. Katelyn believes there is an audience for nearly every niche, provided there is genuine demand and a clear way to help people. 10. Mistakes Are Part of Success Katelyn openly discussed her challenges, including: Navigating a lawsuit related to content usage Learning copyright rules Hiring mistakes Holding on to employees too long She credits those experiences with making her a stronger entrepreneur. Key Themes Entrepreneurship Through Visibility The interview repeatedly underscores the idea that online visibility is no longer optional for entrepreneurs seeking growth. Personal Branding Building a recognizable personal brand can create opportunities that extend far beyond an initial service offering. Action Over Perfection Taking imperfect action consistently is more valuable than waiting for the perfect plan. Audience-Driven Business Creation Successful entrepreneurs listen closely to what their audience is asking for and create solutions accordingly. Notable Quotes On Entrepreneurship "Visibility creates opportunity." On Finding Your Expertise "Is there something that you're passionate about that you know a lot about that you could talk about without getting sick of it?" On Growth "I decided I was going to go all in on that channel and just become the expert." On Learning "If there's a certain skill you want to learn, you need to go learn it. It's free. It's at your fingertips." On Consistency "If you want something bad enough, it can't be easy." On Overcoming Fear "My drive and my heart was so much bigger than that fear." On Visibility "Show up on social media." On Business Ideas "Listen to your audience." On Content Creation "You can monetize any hobby that you have." On Entrepreneurship "I honestly think you can monetize any hobby that you have." On Hiring "Hire slow, fire fast." On Leadership "When you know something's off, stop trying to make it work and just do the hard thing." Success Highlights Grew a $750-per-month side hustle into a seven-figure business. Built Influence Marketing Studio into a successful agency. Grew a substantial social media following through organic content. Secured major brand partnerships. Earned media recognition, including features in major publications. Developed multiple income streams through visibility and personal branding. Bottom Line Katelyn Rhoades' interview is a blueprint for building a modern business through visibility, content creation, and personal branding. Her journey proves that entrepreneurs do not need large budgets, major connections, or a big-city location to succeed. By consistently sharing expertise, listening to audience needs, and embracing opportunities, individuals can transform knowledge and passion into profitable businesses and long-term wealth. #SHMS #STRAW #BEST Money Making Conversations Master Class with Rushion McDonald is America's premier entrepreneurship, business leadership, financial literacy, and wealth-building podcast featuring successful entrepreneurs, executives, founders, celebrities, and industry experts sharing actionable insights for professional and financial success. Business Podcast Entrepreneurship Small Business Business Growth Financial Literacy Wealth Building Black Entrepreneurs Minority Business Leadership Executive Leadership Business Funding Marketing Strategies Personal Development Startup Advice Sales Training CEO Interviews Founder Stories Professional Development Economic Empowerment Business Success Networking Brand Building Innovation How to start a business Small business funding Entrepreneur success stories Business leadership podcast Wealth building strategies Black entrepreneur podcast Minority business development Marketing for small businesses Business growth strategies Startup funding opportunities Executive leadership training Financial literacy education Success mindset podcastSteve Harvey Morning Show Online: http://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Thanks for listening, and please follow us on Insta @NHPTalent and www.youtube.com/thePOZcast For all episodes, please check out www.thePOZcast.com #thePOZcast is proud to welcome Dalia as our newest partner. Dalia helps employers convert more career-site traffic into qualified applicants by giving job seekers a universal candidate profile that eliminates repetitive applications and streamlines the application process. Learn more (link below) https://www.dalia.co/audit?utm_source=pos About: I'm joined by two leaders who have built careers around one simple idea: great businesses are built by great people. First is Josh Robinson, a transformational executive with more than 20 years of experience leading finance, technology, and business strategy across organizations ranging from $50 million to $7 billion in revenue. Josh is known for building high-performing teams, creating cultures that attract top talent, and helping companies think big, start small, and scale fast. Joining him is Mike Nathan, a Navy veteran, entrepreneur, investor, and startup builder who's helped launch, advise, and invest in more than a dozen companies across industries. From Search & Rescue Swimmer to founder, board member, and operator, Mike believes that business is one of the most powerful vehicles for creating meaningful impact for people and communities. Together, Josh and Mike bring an incredible combination of operational excellence, entrepreneurial grit, and people-first leadership. I'm excited to dive into their journeys, what they've learned building companies and cultures, and where they see the future of work and leadership heading next. Key Takeaways: Not every high performer should become a manager. Companies need meaningful advancement paths for strong individual contributors instead of forcing them into leadership roles they may not want or be equipped for. Leadership is less about having every answer and more about building the right team. Great leaders trust subject-matter experts, ask better questions, and create the conditions for others to execute. Authenticity builds more trust than pretending to know everything. Employees respond better to leaders who admit what they do not know and work alongside the team to find the answer. Conviction can matter as much as competency. Skills may get someone through the interview process, but genuine belief in the company's mission determines whether they will remain committed when things get difficult. A founder's ability to delegate is a critical indicator of scalability. Founders who constantly say “I,” control every decision, and cannot step away will eventually become the bottleneck in their own business. Raising capital should serve a specific goal, not someone's ego. Companies should pursue funding when it accelerates product development, sales, expansion, or a planned exit, not because announcing a major round has become a status symbol. AI is creating the rise of the “Army of One.” Individuals and small teams can now use AI, outsourcing, and personal branding to produce the output and profitability once associated with much larger organizations. Take the “Army of One” seriously, but not literally. AI can dramatically increase individual productivity, but growing companies will still need talented people when complexity, scale, and human connection demand them. Replacing employees with AI is often the wrong strategy. The greater opportunity is to give employees AI tools, remove repetitive work, and redeploy people into more valuable roles that improve service and generate revenue. The professionals who thrive will combine expertise with AI fluency. Human judgment, technical knowledge, and relationship skills will remain valuable, but people who fail to learn how to apply AI within their field risk being left behind.     Chapters 00:00 Introduction to Leadership and Impact 01:43 Personal Leadership Journeys 05:19 The Role of Individual Contributors vs. Leaders 08:12 Evolving Beliefs About Leadership 09:48 Hiring Talent vs. Building Executable Teams 12:44 Evaluating Founders and Their Potential 14:43 Post-Mortem Analysis of Failed Startups 15:52 The Right Time to Raise Capital 17:52 The Army of One Myth and AI's Role 26:51 AI's Impact on Jobs and Company Culture 32:28 The Importance of Human Expertise in a Tech-Driven World 33:16 Hiring for Heart: The Key to Successful Interviews 35:21 Assessing Compatibility: The Role of Personality in Hiring 37:49 Radical Transparency in Leadership and Its Challenges 41:33 Risky Decisions: Career Moments That Changed Everything 45:06 Debunking Business Clichés: What Needs to Die 47:40 AI: Signal or Hype? Perspectives on Job Disruption 51:57 Investing in Healthcare: The Future of Tech-Enabled Solutions 54:13 Legacy: What Do We Want to Be Remembered For? 55:36 Defining Success: Balancing Personal and Professional Life    

In this solo episode of the Tech Leaders Playbook, Avetis Antaplyan explains why the right person in the wrong environment can still become the wrong hire. Avetis breaks down how leaders can evaluate candidates based on the problems they have actually solved, the environments where they perform best, and the stage of growth they have helped companies navigate. He explores common hiring mistakes, better executive interview questions, how to assess recruiting and executive search partners, and where AI belongs in modern talent acquisition. This episode is especially relevant for founders, CEOs, technology leaders, hiring managers, and executives building teams through periods of growth and change.What You'll Learn• Why impressive resumes and prestigious companies can create dangerous hiring bias.• How to match a candidate's experience with your company's current stage and next phase of growth.• What executives should ask to separate personal impact from simply being part of a successful company.• When an executive search partner can improve the quality and speed of a critical hire.• The role AI should play in sourcing and screening without replacing human judgment.Chapters00:00 Hiring for the Right Stage02:21 Start With Business Needs04:39 The Resume and Brand Trap06:53 Measuring a Candidate's Real Impact09:17 Hire for the Next Stage11:38 Be Honest About the Role16:08 Better Executive Interview Questions20:58 Choosing a Search Partner30:13 Protecting Your Employer Brand32:18 AI, Judgment, and Final TakeawaysFollow Avetis AntaplyanInstagram:https://www.instagram.com/avetisantaplyanSpotify:https://open.spotify.com/show/0rOkUXDSQb6SVFE6LttWDeApple Podcasts:https://podcasts.apple.com/us/podcast/the-tech-leaders-playbook/id1690263628HIRECLOUT:https://www.hireclout.comThe Tech Leader's Playbook:https://www.podcast.hireclout.comLinkedIn:https://www.linkedin.com/in/hirefasthirerighthiring strategy, executive recruiting, talent acquisition, executive search, hiring executives, recruiting strategy, leadership hiring, candidate assessment, hiring process, executive interview questions, startup hiring, technology leadership, business growth, company culture, talent strategy, hiring managers, founders, CEOs, CTO hiring, executive leadership, AI recruiting, AI hiring, candidate screening, employer branding, recruiting firms, search partners, Avetis Antaplyan, Tech Leaders Playbook#Hiring #ExecutiveRecruiting #TalentAcquisition #Leadership #ExecutiveSearch #HiringStrategy #TechLeadership #StartupHiring #AIRecruiting #BusinessLeadership #TechLeadersPlaybook

What you'll learn in this episode Why your business should always have backup talent ready The 3 types of talent: potential, emerging, and proven Why proven talent, though costly, is worth the investment How to evaluate a candidate's record of success The cultural fit questions to ask in every interview Why “if it's not a hell yes, it's not a yes” is the golden rule in hiring To find out more about Dan Rochon and the CPI Community, you can check these links:GET THE BOOK! Teach to Sell : Teach to Sell: Why Top Performers Never Sell – And What They Do InsteadWebsite: No Broke MonthsPodcast: No Broke Months for Salespeople PodcastInstagram: @donrochonxFacebook Page: https://www.facebook.com/NoBrokeMonths/Facebook: Dan RochonLinkedIn: Dan Rochon

Most nonprofit leaders treat retention as a problem to fix after the hire. The organizations that keep people for decades treat it as something they build into the hire itself. Sarah invited Crystal FitzSimons, the president of the Food Research and Action Center and someone who has been at FRAC for twenty-four years leading a team where staff routinely stay ten, twenty, and even forty years, to unpack what actually holds people in a nonprofit for the long term. What you'll hear: Why hiring is the single most important thing Crystal's forty-person team does, and how that belief changes the calendar The reason the CEO belongs in every final interview, even at forty people, even at five hundred What Crystal has kept, and what she has added, to sustain a culture where people stay through leadership transitions Why mission alignment is only the price of admission, and what actually keeps someone in the seat How Crystal is holding the team steady through a marathon-and-a-sprint policy season, and what that requires of a president How to think about a hiring process as a cultural transmission instead of a selection task Crystal has been at FRAC for twenty-four years and just stepped into the president role. Her chief government affairs officer recently celebrated forty years with the organization. This is what genuine longevity looks like, and it is not luck. If this conversation sparked something, the thinking goes further. Sarah wrote a full reflection on why retention starts at hire and what long-tenure nonprofits actually build into the process. It stands alone as a read for leaders who want to see the structural pattern underneath every retention conversation they have been having. Press play, and then read the article.    

Hiring an associate should scale your practice, not add to your headaches. So why do so many associate relationships fall apart within the first year?In this episode, we break down why practice owners struggle to retain and empower associates, from hoard-worthy case selection to total onboarding breakdowns. More importantly, we share the exact blueprint to set your next associate up for immediate success, high production, and long-term retention.Inside this episode, you'll learn:The Onboarding Trap: Why dumping a schedule on day one ruins associate confidence.Case Allocation Fixes: How hoarding top-tier procedures starves your associate's growth (and hurts your bottom line).Treatment Alignment: Setting clear treatment-planning standards so your team presents a united front.Early Metric Tracking: Reviewing goals early enough to catch performance drift before it's too late.Team Support: Involving your existing staff so your associate feels backed from day one.Stop repeating the high-turnover cycle and start building a high-producing team. Tune in now!

Liz Peek, columnist for The Hill and Fox News, discusses the surprising resilience of the American economy, noting that small businesses are reporting strong hiring and profitability growth based on broad National Federation of Independent Business and Bank of America data. While consumer spending remains robust, recent data reveals a K-shaped economy, where higher-income homeowners spend extensively on renovations while lower-income consumers trade down at Walmart. Rising interest rates present a critical challenge, slamming the housing market and significantly increasing interest payments on the massive national debt. Lastly, the administration's tariff conflict with Canada is criticized as a major, highly unfortunate, and economically damaging political mistake. (1)

Hiring gets tough this time of year. Crews are tired, the season is long, and finding great people can feel impossible. But what if the problem isn't the labor market, it's how we're attracting people? In this episode, Brian breaks down a simple hiring roadmap for attracting growth-minded team members through vision, culture, career paths, better job descriptions, and showing people why your company is actually worth joining.

In this podcast episode, Dr. Jonathan H. Westover talks with Dr. Lee Bowes about the jobs report and slowing hiring. Dr. Lee Bowes is the Chief Executive Officer of America Works, a private workforce development organization founded in 1984. She joined the company in 1987 and co-developed the "Work First" theory, which emphasizes private-sector employment as the primary path out of poverty. Founded in 1984, America Works is a national workforce development organization committed to delivering real jobs, real support, and real results. With more than 30 million clients serving across 50+ states, America Works helps job seekers overcome employment barriers through rapid placement, individualized support, and employer partnerships. The organization places clients on average in about seven weeks and maintains a retention rate of more than 70%, reflecting its performance-based approach to workforce success. Learn more at americaworks.com/about.

What happens when a client has enough money to retire, but no idea what they actually want retirement to look like?Ben Nemtin knows that problem better than most. After struggling with anxiety and depression at 19, he and three friends created a list of things they wanted to do before they died. That experiment eventually became The Buried Life and led to nearly two decades of studying purpose, regret, and what actually makes people feel alive.This week's conversation covers why some clients lose their sense of identity after retirement, why the habits that helped them build wealth can keep them from enjoying it, and how financial advisors can help clients get clearer on what all that money is actually for.3 Insights From This Week's Episode…1.) The Retirement Problem a Financial Plan Can't SolveClients can reach financial independence and still feel completely unprepared for the loss of structure, identity, relationships, and purpose that can come with leaving work. We explore why this transition can be harder than the numbers suggest.2.) Why Some Clients Never Feel “Rich Enough”Saving can become a lifelong default. Even when the plan says they're financially secure, some clients still struggle to spend on the experiences they spent decades working toward. That tension creates an important opportunity for advisors.3.) Trust Is Built Beyond The SpreadsheetClients don't only want to know whether their plan works. They want to know that their advisor understands what the money is actually for. Ben and I explore what advisors may be missing when those deeper conversations never happen.SPONSORED BY BELAYIf you're an advisor and you're still scheduling your own appointments, sending your own follow-up emails, or dealing with other tasks keeping you from bringing on other clients, you're the bottleneck. BELAY helps busy leaders find world-class Virtual Assistants who can take tasks off their plate, protect their time, and help them stay focused on the work that actually moves the business forward. Learn more about BELAY and find the right assistant for your business here: http://belaysolutions.com/dbdlSHOW NOTEShttps://bradleyjohnson.com/183FOLLOW BRAD JOHNSON ON SOCIALXInstagramLinkedInFOLLOW DBDL ON SOCIAL:YouTubeTwitterInstagramLinkedInFacebookDISCLOSURE DBDL podcast episode conversations are intended to provide financial advisors with ideas, strategies, concepts and tools that could be incorporated into their business and their life. No statements made in the episode are offered as, and shall not constitute financial, investment, tax or legal advice. Financial professionals are responsible for ensuring implementation of anything discussed related to business is done so in accordance with any and all regulatory, compliance responsibilities and obligations. The Triad member statements reflect their own experience which may not be representative of all Triad Member experiences, and their appearances were not paid for. Triad Wealth Partners, LLC is an SEC Registered Investment Adviser. Please visit Triadwealthpartners.com for more information. Triad Wealth Partners, LLC and Triad Partners, LLC are affiliated companies. TO09265770638See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of the HVAC Know It All Business Edition Podcast, co-hosts Gary McCreadie and Furman Haynes from WorkHero speak with Daniel Quinonez, Chief Operating Officer of Plumbing-Heating-Cooling Contractors -National Association. They discuss contractor communities, member education, apprenticeship programs, and the operational challenges facing small HVAC businesses. Dan explains how contractors can access peer support, business resources, and training opportunities through membership. He also shares his perspective on hiring green apprentices versus experienced technicians and the fragmented approach to trade training across the United States.   Expect To Learn: How contractor communities can provide peer support and business resources. Why business operations can be challenging for technicians who become owners. Ways AI can support administrative work without replacing technicians. The tradeoffs between hiring experienced technicians and training apprentices. How contractor-sponsored apprenticeship programs combine coursework and hands-on experience. Why training requirements and licensing vary across U.S. states. The case for a more coordinated national strategy for trade education. Timestamps: 00:00 - Introduction 01:27 - PHCC's history, membership, and education programs 05:05 - Benefits of joining a contractor chapter 06:44 - Common needs of small contractors 09:25 - Operational and time-management challenges 11:53 - Hiring apprentices versus experienced technicians 13:24 - Online apprenticeship training and contractor sponsorship 17:30 - Training capacity at large and small companies 18:32 - The lack of a national training strategy 20:04 - China's unified trade-training standards   Follow our Guest Daniel Quinonez: LinkedIn: https://www.linkedin.com/in/daniel-quinonez-690ba68/  Company LinkedIn: https://www.linkedin.com/company/phccnational/  Company Website: https://www.phccweb.org/    Follow Gary McCreadie: LinkedIn: https://www.linkedin.com/in/gary-mccreadie-38217a77/  Website: https://www.hvacknowitall.com  Facebook: https://www.facebook.com/people/HVAC-Know-It-All-2/61569643061429/  Instagram: https://www.instagram.com/hvacknowitall1/    Follow Furman Haynes:  LinkedIn: https://www.linkedin.com/in/furmanhaynes/  WorkHero: https://www.linkedin.com/company/workherohvac/  Instagram: https://www.instagram.com/workhero__/  

 In this episode, host Walter Sterling and guest Eddy Aragon process the collective grief of Dolly Parton's passing before embarking on a mind-bending journey through past-life regression, Nikola Tesla's brain-transmitter theories, and the possibility that consciousness doesn't end at death. Walter also mounts a hilariously passionate defense of introverts, explaining why we desperately need "emotional support extroverts" and how we inevitably turn into Dracula after precisely one hour and forty-five minutes of socializing. Rounding out the late-night chaos, the show dives into the terrifying fine print of the UN's "Agenda 21" sustainability conspiracy, a truck driver's devious windshield-wiper prank on his dashboard cat, the corporate myth of "Neutron Jack" Welch, and a fiery debate on why insurance covers IVF treatments but won't subsidize Viagra. It's the only place on the dial where the introverted, the cynical, and the flat-footed are celebrated exactly as they are..

I break down the philosophy behind Sweaty Startup and why execution beats ideas every time. In this conversation, I also share lessons from building multiple companies, learning sales through repetition, scaling with international talent, and creating systems that allow businesses to grow without depending on the owner. Topics include: • Why most people overvalue business ideas • The real skill every entrepreneur needs • How Nick scales with global teams • Delegation and decision making • Building multiple companies without losing focus • The operational systems behind growth A conversation on entrepreneurship, leverage, and building businesses that last. Grow your business:   https://sweatystartup.com/events   Book:   https://www.amazon.com/Sweaty-Startup-Doing-Boring-Things/dp/006338762X     Newsletter:   https://www.nickhuber.com/newsletter     My Companies:   Offshore recruiting – https://somewhere.com   Cost segregation – https://recostseg.com   Self storage – https://boltstorage.com   RE development – http://www.boltbuilders.com   Brokerage – https://nickhuber.com   Paid ads – https://adrhino.com   SEO – https://boldseo.com   Insurance – https://titanrisk.com   Pest control – https://spidexx.com     Sell a business:   http://nickhuber.com/sell     Buy a business:   https://www.nickhuber.com/buy     Invest with me:   http://nickhuber.com/invest     Social Profiles:   X – https://www.x.com/sweatystartup   Instagram – https://www.instagram.com/sweatystartup   TikTok – https://www.tiktok.com/404?fromUrl=/sweatystartup   LinkedIn – https://www.linkedin.com/in/sweatystartup     Podcasts:   The Sweaty Startup & The Nick Huber Show   https://open.spotify.com/show/7L5zQxijU81xq4SbVYNs81     Free PDF – How to analyze a self-storage deal:   https://sweatystartup.ck.page/79046c9b03  

People are one of the hardest parts of a practice. Even with careful hiring and a great culture, you'll still deal with turnover, performance issues, and the occasional wrong fit.  In this episode, I sit down with Amy Anderson of ACG Practice Partners to talk about when people problems are actually process problems. We cover retention, compensation, hiring, transparency, and the operational leaks that get more expensive as you grow. Make It Easier for Good People to Stay  You can't guarantee every great provider will stay, but you can make sure they understand their role, how they're evaluated, and how compensation works. Clear job descriptions, check-ins, and transparency around gross margin and pay can prevent confusion.  Before You Blame the Person, Look at the Process  If a different person stepped into the role tomorrow, would the same problem still happen? If yes, look at the system before replacing the person.  Before you hire again, review:  Job descriptions and onboarding  KPIs and compensation plans  Lead handoffs and manual work  Hiring criteria  Small inefficiencies add up fast as the team grows.  (00:05:48) Retaining good providers (00:25:56) Diagnosing people versus process problems (00:35:33) Improving hiring decisions (00:40:08) Finding workflow inefficiencies and revenue leaks (00:44:29) Building accountability into operations  Share the Numbers Your Team Can Actually Influence  You don't need to hand everyone your entire P&L. Give your team the metrics tied to their work, like gross margin, booking rates, follow-up, or conversion. Then performance conversations have something concrete to work from. Small Operational Problems Get Bigger With Growth  A small inefficiency can become wasted payroll, missed revenue, and unnecessary headcount as the practice expands. Start with what's costing the most time or money. Stronger systems help good employees work without the owner constantly stepping in, leading to better accountability, healthier margins, and less stress. About Amy Anderson:  As a nationally recognized expert and CEO of ACG Practice Partners, she brings over 20 years of hands-on, non-clinical experience in the aesthetics industry. Known for her practical leadership and human-centered approach, Amy has guided practices of all sizes, from startups to multi-specialty groups, on optimizing operations, building strong teams, and achieving sustainable growth. She is especially sought after for her ability to empower leaders and tailor strategies that fit each practice's unique culture. Amy is a frequent national speaker and trusted advisor to surgeons and their teams.   Connect with Amy: ACG Practice Partners: https://acgpracticepartners.com/amy-anderson/ LinkedIn: https://www.linkedin.com/in/amyandersonmba  Instagram: https://www.instagram.com/amyandersonmba/reels/  MedSpa Pro: https://www.medspaproevent.com/expert/amy-anderson.html  Follow Shannon & Keep What You Earn:    Shannon Weinstein is the founder of a fractional CFO firm specializing in helping 7-figure aesthetics and wellness practices scale with clarity, cash flow, and confidence. She is committed to helping med spa owners understand, fix, and maximize their business's enterprise value, offering actionable advice and resources, including a popular free video series specifically for aesthetics practice owners.  Fractional CFO Services and Executive Financial Review: https://www.keepwhatyouearn.com/   Connect with Shannon: https://www.linkedin.com/in/shannonweinstein   Watch full episodes: https://www.youtube.com/@KeepWhatYouEarn   Listen on your favorite podcast app: https://pod.link/1580071347   Instagram: https://www.instagram.com/shannonkweinstein/   The information shared is for educational purposes only and is not individualized financial advice. Aesthetics practice owners should consult a qualified professional before implementing financial strategies discussed here.  

http://www.Threatlocker.com/cisoAll links and images can be found on CISO Series This week's episode is hosted by David Spark, producer of CISO Series and Edward Contreras, senior evp and CISO, Frost Bank. Joining is sponsored guest Rob Allen, chief product officer, ThreatLocker. In this episode: Not my job, still my problem The tools people actually use Mac, Windows, and the debate that won't quit Hiring for imagination, not acronyms A huge thanks to our sponsor, ThreatLocker ThreatLocker delivers Zero Trust Network Access and Zero Trust Cloud Access that verifies both user and device before granting access to specific applications. No broad access, nothing exposed, and no reliance on credentials alone. It's a smarter way to control access and reduce risk. Learn more at ThreatLocker.com/CISO.

We've been taught to picture career growth as a straight line upward. That's not how careers actually unfold. In this episode of HR Superstars, Karina Young speaks with Brittany Storie, Product Advisor and Sales Leader at AllVoices. They discuss how HR leaders can build a more flexible approach to career growth in a workforce where linear paths are no longer the norm. Brittany shares why companies should be honest about the fact that employees may eventually leave—and how that honesty can build trust, strengthen performance, and create lasting alumni relationships. She also explains how employees can take ownership of their growth and what HR leaders can do to create more human workplaces. You'll learn: How to talk openly with employees about their growth at the company How HR leaders can think beyond the org chart for employee development Why hiring needs to recognize nonlinear resumes and nontraditional career paths Join us as we discuss: (00:00) Meet HR Superstar: Brittany Storie (02:58) The traditional career ladder is outdated (06:19) How to build trust with new hires about career growth (11:24) The value of a strong alumni network (13:28) Going beyond traditional paths for employee development (17:22) Psychological safety and trust with employees (22:06) Hiring for nonlinear, nontraditional career paths (27:42) The need for internal champions to drive culture change Resources: For the entire interview, subscribe to HR Superstars on Spotify, Apple Podcasts, or YouTube, or tune in on our website. Original podcast track produced by Entheo. Listening on a desktop & can't see the links? Just search for HR Superstars in your favorite podcast player. Hear Karina's thoughts on elevating your HR career by following her on LinkedIn: https://www.linkedin.com/in/karinayoung11/ Download 15Five's Employee Engagement Playbook: https://www.15five.com/ebook/engage-to-excel-15fives-employee-engagement-playbook/?utm_source=podcast&utm_medium=podcast&utm_campaign=Q2_2023_Podcast_CTAs&utm_content=Employee For more on maximizing employee performance, engagement, and retention, click here: https://www.15five.com/demo?utm_source=podcast&utm_medium=podcast&utm_campaign=Q2-Podcast-Ads&utm_content=Schedule-a-demo Brittany Storie's LinkedIn: https://www.linkedin.com/in/brittanystorie/

Join the Millionaire University AI Mastermind at ⁠⁠⁠⁠MillionaireUniversity.com/AI⁠⁠⁠⁠ #1050 What if you could replace $150-an-hour work with a $6-an-hour virtual assistant — and use AI to make them even more productive? In Part 1 of this two-part episode, host Brien Gearin welcomes Ryan Wimpey back to the Millionaire University Podcast to reveal how he's using virtual assistants, AI, and automation to scale Tip Top K9 to 29 locations across 13 states, with average unit revenue topping $600,000. Ryan breaks down how he pairs tech-savvy VAs with tools like ChatGPT, Claude, and Manus to automate dashboards, reporting, scheduling, and other time-consuming tasks — including replacing work that can cost $150+ an hour with VAs earning around $6 an hour. Plus, he shares how vibe coding a prototype saved roughly $20,000 in software development costs, his process for finding and training high-quality VAs, and why he believes your core team should spend their time on one thing above all else: work that actually moves the needle! What we discuss with Ryan: + Scaling to 29 franchise locations + $600K+ average unit revenue + Pairing VAs with AI + Automating repetitive business tasks + Replacing $150/hour work + Vibe coding custom software + Saving on development costs + Hiring tech-savvy VAs + Training VAs on AI tools + Focusing on revenue-producing work Thank you, Ryan! Check out Tip Top K9 at TipTopK9.com. Follow Ryan on Facebook and YouTube. Get your FREE 5 Minute Business Plan at ⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/Plan⁠⁠⁠⁠⁠⁠⁠⁠⁠ To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/Sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Join the Millionaire University AI Mastermind at ⁠⁠⁠⁠⁠MillionaireUniversity.com/AI⁠⁠⁠⁠⁠ #1051 What really makes a business profitable — better technology, or simply getting your team to execute the fundamentals? In Part 2 of this two-part episode, host Brien Gearin continues his conversation with Ryan Wimpey about scaling Tip Top K9 and using AI, automation, and virtual assistants without losing sight of the numbers that actually matter. Ryan explains why he still prefers humans for emotionally driven sales calls, where AI agents could soon make sense, and how his custom software will help automate everything from scheduling to commission and sales reports. He also pulls back the curtain on the Tip Top K9 franchise model, including its $48,000 franchise fee, six-week training program, and average annual revenue of more than $600,000 for locations open a full year. Plus, Ryan shares one of his biggest lessons for new entrepreneurs: set clear expectations, coach your people to meet them, hold them accountable, and don't be afraid to make the hard personnel decisions when they don't! What we discuss with Ryan: + AI agents for customer calls + Automating repetitive franchise tasks + Building a custom CRM + Focusing on profit-driving metrics + Holding teams accountable + Tip Top K9's franchise model + $600K+ average unit revenue + Starting without dog training experience + Franchise vs. starting from scratch + Hiring and managing employees Thank you, Ryan! Check out Tip Top K9 at ⁠TipTopK9.com⁠. Follow Ryan on ⁠Facebook⁠ and ⁠YouTube⁠. Get your FREE 5 Minute Business Plan at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/Plan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/Sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Patsy Mangan joined us on The Modern People Leader. We talked about Scribd Flex, why flexibility only works when it is paired with clarity and accountability, and why Scribd needed the GRIT Performance framework.----  Sponsor Links:

You did it.You figured out what kind of help you needed. You found the right person. You interviewed them, tested the fit, made your choice — and finally got to say those two beautiful words:You're hired.But then Monday morning rolls around. Your shiny new team member is sitting there in your office or in your inbox – ready to go and waiting for instructions… And that's when it hits you. Ohhhhhhh. Now I have to TEACH them how to do all of this.

Every year, approximately 200,000 U.S. service members transition from military service to civilian careers. Employers say they want to hire veterans, yet highly qualified military talent is still too often overlooked. The problem isn't a lack of skills—it's the challenge of translating military experience into language civilian employers and hiring managers understand. In this episode of the Optimistic Outlook, Kristine Irwin, who leads military talent strategy and partnerships at Siemens, is joined by Charlie Martinez, national lead for the Siemens SkillBridge program, and Cathy Miclat, Director of Career Services at Vets2PM. Together, they explore how employers can better recognize transferable military skills, improve veteran hiring, and build stronger pathways from military service to civilian careers. Charlie knows the transition firsthand. After serving seven years in the U.S. Air Force, he transitioned to the civilian workforce through SkillBridge before joining Siemens. Today, he leads the same program that helped launch his civilian career. He shares how he learned to translate his military experience into civilian terms, and why veterans shouldn't have to make their experience sound like something it wasn't for employers to recognize its value. The conversation explores: Why military skills are highly transferable—and why matching military and civilian job titles isn't always the best approach The language and communication gaps that can make it difficult for veterans to translate their experience on résumés and in interviews Common misconceptions and mistakes employers make when recruiting and hiring transitioning service members and veterans How SkillBridge helps service members gain civilian industry experience before leaving the military How Siemens' Expedite for Vets micro-credential program helps bridge the gap between military experience and industry-recognized credentials How employers can build effective military talent partnerships and create stronger veteran hiring pipelines Practical steps companies can take to attract, hire, and retain veteran talent Whether you're a hiring manager, HR or talent acquisition leader, workforce development professional, veteran, or transitioning service member, this conversation offers practical insights into veteran employment and what it takes to turn military experience into opportunity. Because the goal isn't to make military experience fit a civilian job description. It's to help employers recognize the skills, experience, leadership, and potential veterans already bring to the workforce. Show notes Military community at Siemens USA Empowering those who served | Expedite for Vets

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald, interviewed entertainment attorney Jalene Mack. Discuss the legal and business fundamentals that entrepreneurs, creatives, writers, producers, and small business owners need to understand to protect their ideas, brands, and financial interests. Drawing from decades of experience representing entertainers, filmmakers, producers, writers, and business owners, Mack explains how people fall victim to bad deals, why contracts matter, and the steps entrepreneurs should take to build a legally sound and financially sustainable business. Purpose of the Interview The interview was designed to: Educate entrepreneurs and creatives about avoiding bad contracts and scams. Explain the importance of trademarks, copyrights, and intellectual property protection. Help aspiring producers, writers, and business owners understand how to structure their businesses properly. Provide practical advice on building a business foundation before seeking investors or opportunities. Encourage listeners to use professional advisors rather than relying solely on online information and templates. Key Takeaways 1. Due Diligence Is Essential Mack emphasized that many scammers prey on hopeful entrepreneurs and creatives by promising funding, distribution, or industry connections. Before signing anything, individuals should thoroughly research the people and companies they are dealing with. Lesson: Verify credentials, investigate backgrounds, and confirm funding sources before entering any agreement. 2. Don't Be Seduced by the "Big Opportunity" Many people fall victim to bad deals because they believe they have found the one opportunity that will change their lives. Mack and McDonald warned against approaching business with a "lottery mentality." Lesson: Excitement should never replace sound business judgment. 3. Never Sign Away Your Intellectual Property Blindly One of the biggest mistakes creators make is signing contracts that transfer ownership of their scripts, books, ideas, or content without fully understanding the consequences. Lesson: Once ownership rights are transferred, getting them back can be nearly impossible. 4. Hiring the Right Lawyer Matters Mack stressed that not all attorneys have the same expertise. A lawyer who handles real estate, patents, or corporate law may not understand entertainment contracts and intellectual property issues. Lesson: Work with attorneys who specialize in your industry. 5. Online Templates Are Not a Substitute for Legal Advice While contract templates found online can provide a starting point, they rarely address the unique circumstances of a specific business or creative project. Lesson: Every deal has unique risks and should be professionally reviewed. 6. Every Entrepreneur Needs a Clear Plan Mack outlined the importance of first identifying exactly what you're trying to build, whether it's a film project, product, service, or business venture. Lesson: A clear vision helps guide decision-making, budgeting, staffing, and marketing. 7. Business Plans and Financial Plans Are Critical Entrepreneurs often focus on ideas while ignoring execution. Mack encouraged listeners to develop detailed plans for operations, funding, growth, and profitability. Lesson: A great idea without a roadmap is unlikely to succeed. 8. Build the Right Team No entrepreneur should try to do everything alone. Mack emphasized surrounding yourself with experienced professionals, including lawyers, accountants, producers, financial advisors, and marketers. Lesson: Success often depends on the quality of your team. 9. Budgeting Is Non-Negotiable Whether producing a film or launching a business, understanding costs is essential. Everything from labor and equipment to marketing and logistics must be considered before moving forward. Lesson: Poor budgeting is one of the fastest paths to failure. 10. Protect Your Assets and Brand Mack stressed the importance of trademarks, copyrights, business entities, and legal documentation. Entrepreneurs must proactively protect their intellectual property before problems arise. Lesson: Prevention is less expensive than litigation. Jalene Mack's 10-Step Business Foundation Framework Throughout the conversation, Mack outlined critical steps for launching and protecting a business: Identify your project. Create a comprehensive plan. Build a strong team. Prepare a realistic budget. Form a business entity. Obtain a business identification number. Open a dedicated business bank account. Protect your intellectual property and assets. Use professionally drafted contracts. Develop a strong marketing strategy. Notable Quotes Jalene Mack on Scams and Bad Deals "Due diligence is everything." Jalene Mack on Research "The more you dig, the more you realize they can't show proof of funds." Jalene Mack on Contract Protection "You don't ever want to give away rights to your project." Jalene Mack on Legal Representation "Not all entertainment attorneys are equal." Jalene Mack on Building a Team "Surround yourself with talent. Surround yourself with people who know more than you." Jalene Mack on Entrepreneurship "You don't have to know everything. Every experience is going to be something you learn from." Rushion McDonald on Business Opportunities "Don't get in this business with the lottery mentality." Rushion McDonald on Intellectual Property "Ideas are not registered. It's just an idea." Jalene Mack on Non-Disclosure Agreements "An NDA is a deterrent, but it is not ironclad." Overall Message The central message of the interview is that success in business and entertainment requires more than talent and great ideas. It requires planning, research, legal protection, financial discipline, and a knowledgeable team. Jalene Mack encourages entrepreneurs and creatives to approach every opportunity with caution, conduct thorough due diligence, and protect their intellectual property before pursuing growth. Her advice serves as a blueprint for avoiding costly mistakes and building a sustainable, successful business. #SHMS #BEST #STRAW Money Making Conversations Master Class with Rushion McDonald is America's premier entrepreneurship, business leadership, financial literacy, and wealth-building podcast featuring successful entrepreneurs, executives, founders, celebrities, and industry experts sharing actionable insights for professional and financial success. Business Podcast Entrepreneurship Small Business Business Growth Financial Literacy Wealth Building Black Entrepreneurs Minority Business Leadership Executive Leadership Business Funding Marketing Strategies Personal Development Startup Advice Sales Training CEO Interviews Founder Stories Professional Development Economic Empowerment Business Success Networking Brand Building Innovation How to start a business Small business funding Entrepreneur success stories Business leadership podcast Wealth building strategies Black entrepreneur podcast Minority business development Marketing for small businesses Business growth strategies Startup funding opportunities Executive leadership training Financial literacy education Success mindset podcastSupport the show: https://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald, interviewed entertainment attorney Jalene Mack. Discuss the legal and business fundamentals that entrepreneurs, creatives, writers, producers, and small business owners need to understand to protect their ideas, brands, and financial interests. Drawing from decades of experience representing entertainers, filmmakers, producers, writers, and business owners, Mack explains how people fall victim to bad deals, why contracts matter, and the steps entrepreneurs should take to build a legally sound and financially sustainable business. Purpose of the Interview The interview was designed to: Educate entrepreneurs and creatives about avoiding bad contracts and scams. Explain the importance of trademarks, copyrights, and intellectual property protection. Help aspiring producers, writers, and business owners understand how to structure their businesses properly. Provide practical advice on building a business foundation before seeking investors or opportunities. Encourage listeners to use professional advisors rather than relying solely on online information and templates. Key Takeaways 1. Due Diligence Is Essential Mack emphasized that many scammers prey on hopeful entrepreneurs and creatives by promising funding, distribution, or industry connections. Before signing anything, individuals should thoroughly research the people and companies they are dealing with. Lesson: Verify credentials, investigate backgrounds, and confirm funding sources before entering any agreement. 2. Don't Be Seduced by the "Big Opportunity" Many people fall victim to bad deals because they believe they have found the one opportunity that will change their lives. Mack and McDonald warned against approaching business with a "lottery mentality." Lesson: Excitement should never replace sound business judgment. 3. Never Sign Away Your Intellectual Property Blindly One of the biggest mistakes creators make is signing contracts that transfer ownership of their scripts, books, ideas, or content without fully understanding the consequences. Lesson: Once ownership rights are transferred, getting them back can be nearly impossible. 4. Hiring the Right Lawyer Matters Mack stressed that not all attorneys have the same expertise. A lawyer who handles real estate, patents, or corporate law may not understand entertainment contracts and intellectual property issues. Lesson: Work with attorneys who specialize in your industry. 5. Online Templates Are Not a Substitute for Legal Advice While contract templates found online can provide a starting point, they rarely address the unique circumstances of a specific business or creative project. Lesson: Every deal has unique risks and should be professionally reviewed. 6. Every Entrepreneur Needs a Clear Plan Mack outlined the importance of first identifying exactly what you're trying to build, whether it's a film project, product, service, or business venture. Lesson: A clear vision helps guide decision-making, budgeting, staffing, and marketing. 7. Business Plans and Financial Plans Are Critical Entrepreneurs often focus on ideas while ignoring execution. Mack encouraged listeners to develop detailed plans for operations, funding, growth, and profitability. Lesson: A great idea without a roadmap is unlikely to succeed. 8. Build the Right Team No entrepreneur should try to do everything alone. Mack emphasized surrounding yourself with experienced professionals, including lawyers, accountants, producers, financial advisors, and marketers. Lesson: Success often depends on the quality of your team. 9. Budgeting Is Non-Negotiable Whether producing a film or launching a business, understanding costs is essential. Everything from labor and equipment to marketing and logistics must be considered before moving forward. Lesson: Poor budgeting is one of the fastest paths to failure. 10. Protect Your Assets and Brand Mack stressed the importance of trademarks, copyrights, business entities, and legal documentation. Entrepreneurs must proactively protect their intellectual property before problems arise. Lesson: Prevention is less expensive than litigation. Jalene Mack's 10-Step Business Foundation Framework Throughout the conversation, Mack outlined critical steps for launching and protecting a business: Identify your project. Create a comprehensive plan. Build a strong team. Prepare a realistic budget. Form a business entity. Obtain a business identification number. Open a dedicated business bank account. Protect your intellectual property and assets. Use professionally drafted contracts. Develop a strong marketing strategy. Notable Quotes Jalene Mack on Scams and Bad Deals "Due diligence is everything." Jalene Mack on Research "The more you dig, the more you realize they can't show proof of funds." Jalene Mack on Contract Protection "You don't ever want to give away rights to your project." Jalene Mack on Legal Representation "Not all entertainment attorneys are equal." Jalene Mack on Building a Team "Surround yourself with talent. Surround yourself with people who know more than you." Jalene Mack on Entrepreneurship "You don't have to know everything. Every experience is going to be something you learn from." Rushion McDonald on Business Opportunities "Don't get in this business with the lottery mentality." Rushion McDonald on Intellectual Property "Ideas are not registered. It's just an idea." Jalene Mack on Non-Disclosure Agreements "An NDA is a deterrent, but it is not ironclad." Overall Message The central message of the interview is that success in business and entertainment requires more than talent and great ideas. It requires planning, research, legal protection, financial discipline, and a knowledgeable team. Jalene Mack encourages entrepreneurs and creatives to approach every opportunity with caution, conduct thorough due diligence, and protect their intellectual property before pursuing growth. Her advice serves as a blueprint for avoiding costly mistakes and building a sustainable, successful business. #SHMS #BEST #STRAW Money Making Conversations Master Class with Rushion McDonald is America's premier entrepreneurship, business leadership, financial literacy, and wealth-building podcast featuring successful entrepreneurs, executives, founders, celebrities, and industry experts sharing actionable insights for professional and financial success. Business Podcast Entrepreneurship Small Business Business Growth Financial Literacy Wealth Building Black Entrepreneurs Minority Business Leadership Executive Leadership Business Funding Marketing Strategies Personal Development Startup Advice Sales Training CEO Interviews Founder Stories Professional Development Economic Empowerment Business Success Networking Brand Building Innovation How to start a business Small business funding Entrepreneur success stories Business leadership podcast Wealth building strategies Black entrepreneur podcast Minority business development Marketing for small businesses Business growth strategies Startup funding opportunities Executive leadership training Financial literacy education Success mindset podcastSee omnystudio.com/listener for privacy information.

On today's episode of the Busness Breakthrough Hotline, relationship coach Shari Kubinec brings a challenge a lot of successful founders eventually hit: lead generation is easy, the offers convert, but the whole business still runs through her. Kelly digs into founder dependence, the number one thing standing between you and real freedom, and lays out why building a self-led team comes down to talent and tenure, why you should hire for someone's DNA over their résumé, and why you have to start training your future right-hand now, not when you can "afford" it. Then estate and probate attorney Jessica Lynn Silva asks which marketing channels to commit to for the next 12 months to own her niche. Kelly helps her cut through the LinkedIn-Instagram-Substack noise with a simple meta and non-meta strategy, reframes a heavy topic into an empowering one, and spins up a Substack show idea on the spot that turns her expertise into a magnet. A theme across both: it's not one size fits all, you have to pick what's sustainable and life-giving for you, and freedom only comes when the business can run without you. imestamps 00:52 — Gowing past being the center of the business 03:11 — The seven stages of the employee-employer relationship 03:51 — Founder dependence: the number one problem to solve 04:47 — Why a self-led team requires talent and tenure 05:21 — Hiring for DNA: work ethic, drive, and coachability over skills 06:45 — Which capacity to open up first: delivery or marketing? 08:52 — Why you have to start training your successor now 10:35 — Kelly's first marketing director started as a college intern 12:19 — Hire for personality and potential, then train the skills 12:38 — Success leaves clues (and the Bigger Than You audiobook) 14:03 —Three channels to own the probate niche 15:32 — Becoming the category leader through a lawyer referral database 18:00 — Choosing your platforms: a meta and a non-meta play 19:20 — Why Kelly stepped away from LinkedIn 19:48 — Instagram to get known, Substack to go deep 26:12 — Collaborations and livestreams on Substack 27:00 — How Substack repurposes your content for you 30:17 — Recap: pick sustainable platforms, and break founder dependence he Miracle Hour: Learn the daily sales system this episode walks through by grabbing your copy of the Miracle Hour book, available on Amazon and everywhere books are sold: https://a.co/d/026IrwcH Virtual Business School (VBS): join our sales membership, where you will be able to master + implement The Miracle Hour is taught with weekly live guidance: https://www.virtualbusinessschool.com The Sacred Art of Selling: Kelly's sales philosophy and Substack: https://kellyroachofficial.substack.com/subscribe The Business Breakthrough Hotline: Ready for your business breakthrough? Text your question + name to 916-418-9799 with the hashtag #BusinessBreakthroughHotline for a chance to be featured on the show!

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald, interviewed entertainment attorney Jalene Mack. Discuss the legal and business fundamentals that entrepreneurs, creatives, writers, producers, and small business owners need to understand to protect their ideas, brands, and financial interests. Drawing from decades of experience representing entertainers, filmmakers, producers, writers, and business owners, Mack explains how people fall victim to bad deals, why contracts matter, and the steps entrepreneurs should take to build a legally sound and financially sustainable business. Purpose of the Interview The interview was designed to: Educate entrepreneurs and creatives about avoiding bad contracts and scams. Explain the importance of trademarks, copyrights, and intellectual property protection. Help aspiring producers, writers, and business owners understand how to structure their businesses properly. Provide practical advice on building a business foundation before seeking investors or opportunities. Encourage listeners to use professional advisors rather than relying solely on online information and templates. Key Takeaways 1. Due Diligence Is Essential Mack emphasized that many scammers prey on hopeful entrepreneurs and creatives by promising funding, distribution, or industry connections. Before signing anything, individuals should thoroughly research the people and companies they are dealing with. Lesson: Verify credentials, investigate backgrounds, and confirm funding sources before entering any agreement. 2. Don't Be Seduced by the "Big Opportunity" Many people fall victim to bad deals because they believe they have found the one opportunity that will change their lives. Mack and McDonald warned against approaching business with a "lottery mentality." Lesson: Excitement should never replace sound business judgment. 3. Never Sign Away Your Intellectual Property Blindly One of the biggest mistakes creators make is signing contracts that transfer ownership of their scripts, books, ideas, or content without fully understanding the consequences. Lesson: Once ownership rights are transferred, getting them back can be nearly impossible. 4. Hiring the Right Lawyer Matters Mack stressed that not all attorneys have the same expertise. A lawyer who handles real estate, patents, or corporate law may not understand entertainment contracts and intellectual property issues. Lesson: Work with attorneys who specialize in your industry. 5. Online Templates Are Not a Substitute for Legal Advice While contract templates found online can provide a starting point, they rarely address the unique circumstances of a specific business or creative project. Lesson: Every deal has unique risks and should be professionally reviewed. 6. Every Entrepreneur Needs a Clear Plan Mack outlined the importance of first identifying exactly what you're trying to build, whether it's a film project, product, service, or business venture. Lesson: A clear vision helps guide decision-making, budgeting, staffing, and marketing. 7. Business Plans and Financial Plans Are Critical Entrepreneurs often focus on ideas while ignoring execution. Mack encouraged listeners to develop detailed plans for operations, funding, growth, and profitability. Lesson: A great idea without a roadmap is unlikely to succeed. 8. Build the Right Team No entrepreneur should try to do everything alone. Mack emphasized surrounding yourself with experienced professionals, including lawyers, accountants, producers, financial advisors, and marketers. Lesson: Success often depends on the quality of your team. 9. Budgeting Is Non-Negotiable Whether producing a film or launching a business, understanding costs is essential. Everything from labor and equipment to marketing and logistics must be considered before moving forward. Lesson: Poor budgeting is one of the fastest paths to failure. 10. Protect Your Assets and Brand Mack stressed the importance of trademarks, copyrights, business entities, and legal documentation. Entrepreneurs must proactively protect their intellectual property before problems arise. Lesson: Prevention is less expensive than litigation. Jalene Mack's 10-Step Business Foundation Framework Throughout the conversation, Mack outlined critical steps for launching and protecting a business: Identify your project. Create a comprehensive plan. Build a strong team. Prepare a realistic budget. Form a business entity. Obtain a business identification number. Open a dedicated business bank account. Protect your intellectual property and assets. Use professionally drafted contracts. Develop a strong marketing strategy. Notable Quotes Jalene Mack on Scams and Bad Deals "Due diligence is everything." Jalene Mack on Research "The more you dig, the more you realize they can't show proof of funds." Jalene Mack on Contract Protection "You don't ever want to give away rights to your project." Jalene Mack on Legal Representation "Not all entertainment attorneys are equal." Jalene Mack on Building a Team "Surround yourself with talent. Surround yourself with people who know more than you." Jalene Mack on Entrepreneurship "You don't have to know everything. Every experience is going to be something you learn from." Rushion McDonald on Business Opportunities "Don't get in this business with the lottery mentality." Rushion McDonald on Intellectual Property "Ideas are not registered. It's just an idea." Jalene Mack on Non-Disclosure Agreements "An NDA is a deterrent, but it is not ironclad." Overall Message The central message of the interview is that success in business and entertainment requires more than talent and great ideas. It requires planning, research, legal protection, financial discipline, and a knowledgeable team. Jalene Mack encourages entrepreneurs and creatives to approach every opportunity with caution, conduct thorough due diligence, and protect their intellectual property before pursuing growth. Her advice serves as a blueprint for avoiding costly mistakes and building a sustainable, successful business. #SHMS #BEST #STRAW Money Making Conversations Master Class with Rushion McDonald is America's premier entrepreneurship, business leadership, financial literacy, and wealth-building podcast featuring successful entrepreneurs, executives, founders, celebrities, and industry experts sharing actionable insights for professional and financial success. Business Podcast Entrepreneurship Small Business Business Growth Financial Literacy Wealth Building Black Entrepreneurs Minority Business Leadership Executive Leadership Business Funding Marketing Strategies Personal Development Startup Advice Sales Training CEO Interviews Founder Stories Professional Development Economic Empowerment Business Success Networking Brand Building Innovation How to start a business Small business funding Entrepreneur success stories Business leadership podcast Wealth building strategies Black entrepreneur podcast Minority business development Marketing for small businesses Business growth strategies Startup funding opportunities Executive leadership training Financial literacy education Success mindset podcastSteve Harvey Morning Show Online: http://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Ricky Norris spent a decade shooting documentaries overseas before trading the airports for a San Diego studio, a wife, and three daughters. Now he's running Kilometer Zero and wrestling with the thing nobody warns you about in film school — that you're not just a filmmaker, you're a business of one, and nobody handed you the manual. In this conversation we dig into why a wide net catches the wrong clients, who to hire first when you're finally ready to stop being an island, and how to structure a week so the work stops following you to the dinner table. Key Takeaways A wide net isn't a strategy. When you'll take any project that pays, you end up with a patchwork of unrelated businesses instead of one real one — and no clear reason for anyone to choose you. Your first hire probably isn't creative. Admin, calendar, inbox, and fit calls buy back more hours than another editor, and those hours are what let you work on the business. One plus one should equal three. Hiring isn't subtracting salary from revenue — done right, the accountability and capacity should multiply what the business can actually produce. You'll never reach the bottom of the list. There's always another email, another marketing task, another lunch you could book. Time blocking and daily themes beat reacting to whatever hits the inbox. In this episode [00:00] Welcome to the show! [06:08] Meet Ricky Norris [08:31] Ricky's Story [16:51] Handling Multiple Roles [22:31] Tailoring Your Business [24:36] One Man Band [36:26] Building Client Relationships [38:11] Event Booths [42:07] Finding Balance In The Work [52:04] Connect with Ricky [52:52] Outro   Quotes "Everybody thinks their problems are unique to them — in work, in marriage, in family and life. And when you pop that bubble, everything decompresses." — Ricky Norris "It's a really big net, and none of the right fish are going in, because it's too wide." — Ricky Norris "There's no HR company. You are your HR company." — Ricky Norris "If I'm starting to hire my first employee, it's not going to be a shooter or an editor. It's going to be somebody that's going to help me on the administrative side." — Ryan Koral "Don't let the next three hours be dictated by what comes into your email." — Ryan Koral  Guest Links Check out Ricky's website  Links Find out more about the Studio Sherpas Mastermind Join the Grow Your Video Business Facebook Group  Follow Ryan Koral on Instagram Follow Grow Your Video Business on Instagram Join us on Onward Summit Join the Studio Sherpas newsletter

Kendra didn't really have an agenda for this episode. She just wanted to talk about what she's been working on, what's changing in her business, and the things she's been thinking about lately.She gets into her new weekly/biweekly webinar strategy, why she's moved away from relying on an automated webinar, and what she's learning as she tests a brand-new webinar with cold traffic. She also shares why she finally decided to hire a business coach again after nearly two years without one, and what she's hoping to get out of the investment.Then things get a little more existential. Kendra talks about AI, why she doesn't think human connection is going anywhere, and the slightly unhinged “AI apocalypse plan” she and her partner are cooking up in case AI eventually eats the internet. It's a very Kendra episode: part business strategy, part behind-the-scenes, and part what the hell are we all going to do when AI takes over?In this episode Kendra goes behind the scenes on:✔️ What a bi-weekly webinar actually is, and why almost everyone gets the frequency thing wrong✔️ How my tech VA resets the entire funnel in 15 minutes while I'm live, so the ads never turn off✔️ Why I hired a coach after two years without one, and what it cost me to go without✔️ The very unsexy thing my partner and I are investing in as an AI apocalypse planRESOURCES: Get FG Funnels: https://kendraperry.net/fgfunnelsLeave the podcast a 5-star review: https://ratethispodcast.com/wealthy

PATH TO SIGNIFICANCE | Lisa Wheeler joins us to break down the financial side of building a team, from structuring how to pay yourself to determining what to pay an assistant and understanding the difference between 1099 and W-2 employees. She also shares practical tips for paying your team and keeping your business finances organized.  To access the Top Tips when Hiring resource, click here.   In this episode:  00:17 Meet Lisa Wheeler 00:46 What AFS Does 02:12 Paying Yourself Right 03:12 S Corp Payroll Basics 05:58 When to Hire Help 06:33 How Much to Pay 09:15 1099 vs W2 Explained 11:48 W2 Setup Paperwork 14:25 How to Pay Assistants 15:43 Clean Business Cashflow 16:49 Why Bookkeeping Matters 17:33 Contact Lisa   Subscribe to the More Than More Podcast for new weekly episodes as we discuss building meaningful and impactful businesses, careers, and lives through real estate. Apple Podcasts Spotify YouTube  

First, the guys unpack a bizarre $9.5M methamphetamine seizure hidden inside a Texas detergent load, discuss the sudden departure of Chris Spear from the ATA, state legal victories protecting CDL driver data, and the growing legal heat surrounding broker liability with J.B. Hunt facing summary judgment battles. Then, two expert guest segments tackle the industry's biggest modern challenges: BuyWander Co-Founder Brock Kowalchuk joins the show to discuss how billions of dollars in returned retail inventory can be saved from landfills using scalable auction technology. Megan Gabriel & Veronica Van Loon from Changemakers detail what brokers and logistics companies MUST do in the first 48 hours of a major legal or public relations crisis. ⁠Watch on YouTube⁠ ⁠Visit our sponsor - GNOSIS FREIGHT⁠ ⁠Subscribe to the WTT newsletter⁠ ⁠Apple Podcasts⁠ ⁠Spotify⁠ ⁠More FreightWaves Podcasts⁠ #WHATTHETRUCK #FreightNews #supplychain Learn more about your ad choices. Visit megaphone.fm/adchoices

#384 | A lot of people say B2B marketing is boring - those people couldn't possibly be in B2B. Take Clare Corriveau, VP of Marketing at Tekmetric: her buyer is an auto repair shop owner who isn't on LinkedIn, doesn't check email, and isn't downloading anything. Clare walks through how Tekmetric built its messaging around a founder who ran a shop for a decade, why every new hire visits an actual shop before touching a campaign, and how peer groups and an unmanaged 6,000-member Facebook community became a real lever in the company's growth engine. This episode focuses on marketing to an overlooked B2B category, and the huge upside that comes with it. The opportunity is anything but boring.Timestamps(00:00) - - Why "boring" B2B categories are actually the biggest opportunity (06:00) - - Why a founder who ran a shop for 10 years shapes every messaging decision (11:00) - - Events at scale: 100+ a year, plus a 1,000-person first-time conference (17:00) - - What the VP of Marketing job really is (21:00) - - Hiring humans when everyone is saying AI will replace them (24:00) - - Betting on channels the team almost skipped: Bing and Facebook (26:00) - - Peer groups and a 6,000 member Facebook community (30:00) - - How to get customers to love, support, and defend your brand (37:00) - - The real competitor is status quo (38:00) - - Why new hires visit a real shop before they touch a campaign (45:00) - - The opportunity: 5% market share in a category growing 50% a year Join 50,0000 people who get Dave's Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Brought to you by:Zoom Webinars & Events – The virtual event platform built to help B2B marketers run webinars that actually drive pipeline, with branded registration pages, live engagement features, and built-in tools to repurpose sessions into clips and content. Learn more at zoom.com/exitfive.Customer.io - An AI powered customer engagement platform that help marketers turn first-party data into engaging customer experiences across email, SMS, and push. Learn more at customer.io/exitfive.Vector - A contact-level ads platform that lets you build audiences from actual people on your site, clicking your ads, and checking out your competitors. Learn how to build an ABM program that scales at vector.co/exitfive.Join us in Stowe, Vermont for Drive 2026 - three days away from your desk to learn what's working in B2B marketing from the people who are actually doing it. Grab your ticket at exitfive.com/drive.Walker Sands - An integrated B2B marketing and growth services agency that helps marketing leaders turn strategy into measurable business impact through their Outcome-based Marketing model. Learn more at walkersands.com/exitfive.***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

The Learning Leader Show with Ryan Hawk www.LearningLeader.com The Price of Becoming is a USA Today, LA Times, and Publishers Weekly Best-Seller! www.LearningLeader.com/Becoming This is brought to you by Insight Global. If you need to hire one person, hire a team of people, or transform your business through Talent or Technical Services, Insight Global's team of 30,000 people around the world has the hustle and grit to deliver. Blake Mycoskie founded TOMS Shoes in 2006 after a trip to Argentina, where he saw children without shoes and built a company around giving away a pair for every pair sold. TOMS went on to donate more than 100 million pairs of shoes and became one of the most copied business models in the world. What most people don't know is what happened after he sold it, and I'm grateful that he was open to talking about that on this episode of The Learning Leader Show. Key Learnings Make your gratitude specific. Not "I'm grateful for my family." Name the exact thing. Blake's example from that morning: the photos the camp posted of his daughter laughing in the lake, and knowing his stoic kid does not smile like that unless she is genuinely happy. He kept the practice going for five years when he couldn't feel any of it. Blake could not name five things he was grateful for, and he had all the same things in his life he has now. He did it anyway. He credits it as one of the things that kept him going. Surfing is a great thinking practice. Surfing is mostly just sitting on the board. Three hours in the water, ten waves, maybe five minutes standing. The rest is paddling and sitting. That's why it works as a thinking practice. Capture the idea in the moment or lose it. Blake programmed the side button on his Apple Watch to open a voice memo. Every idea he has sitting on the board, he records. They're all waiting when he gets out. He hit every marker and still felt worthless. "I did everything, and I still, deep down in my soul, had this feeling like I'm not worthy, I'm not enough, and I never will be." The external validation was the drug. Selling TOMS cut off the supply. The thing that had been holding up his sense of self was suddenly gone. If you get there and it's empty, don't panic. Panicking is what Blake did, and having money meant he could make expensive mistakes fast. Build the dream house. Get divorced. One thing after another. The emptiness may be the point. Blake's read on it: if achievement delivered what society promises, you'd never go inward. Feeling hollow at the summit is what forces the inner work. He re-patterned the sentence he'd been telling himself since childhood. The old one was "you're not enough." He replaced it with "I am enough. I've always been enough." Twenty minutes every morning and every evening. Forty straight days. It worked, and he no longer needs to do it daily. Sometimes you just need a physical cue to catch the loop. That's the whole idea behind the bracelet he wears. Not magic. A reminder on your wrist that interrupts the thought. Give the second one away. Blake found the bracelet's real power was handing one to a friend. Now you're both wearing it, you're both in on it, and there's an unspoken agreement that neither of you has to have a bad day alone. Men are worse at building that than women are. Tell your kids they're enough, and keep telling them. They're going to get the opposite message from everywhere else, which is exactly why it has to come from you repeatedly. Blake says the relaxation you'll see in them is immediate. Be brutally honest about how hard the job is. Try to talk them out of it. Blake is the last interview in the process now. If he can lay out every negative and they still desperately want it, the commitment is real. "How many people did you convince not to take the role before you got the right person?" Most leaders slip into sales mode, talk the candidate into it, and end up talking themselves into the candidate. What he screens for during the interview process: Integrity first. If it isn't there, it surfaces fast now. Attitude second. The person who never says "that's not my job." Whether they're building a resume or joining a movement. Find the people who cover what you're bad at. Blake is a storyteller, a vision-sharer, and high energy. He is not a supply chain guy, not a finance guy, and he has trouble saying no. So he hired around it. That's what let him actually be the chief shoe giver instead of pretending to be a CEO. Don't wait for permission. Most people stand in line at the front door. Blake looks for side doors. In Argentina he had no investors and no plan, just an idea and the words One For One. Ryan's version for his kids: everyone can apply online. Drive to the restaurant and go talk to the manager instead. Having no experience was the advantage. He'd never made a shoe, so he didn't know which rules he was breaking. Same with outdoor advertising. Same with driver's ed. He learned it from Richard Branson: ask forgiveness, not permission. Nashville wouldn't allow advertising, so he sold art instead. Blake spent two years with the city council and got there by removing the ad from the ad. No price, no call to action. Just album covers on the sides of buildings, called country music art. Once one artist had one, they all wanted one. He sold the company to Clear Channel. You don't attract what you want. You attract what you are. Want honest friends, be honest. Want peace at home, bring peace. Want trust, practice it when nobody's watching. Blake applies it to customers too: sloppy companies attract sloppy customers, and that's usually the real reason the business fails. Charlie Munger got asked how to get a great wife. He said: deserve one. Be known for doing what you said you'd do. Early on Blake didn't have the skills, so he built the reputation on execution instead. Move fast, keep it simple, do it with integrity. Momentum is a form of trust. The other half of that is not overpromising. Blake's own failure mode is getting excited, feeling falsely confident, promising something big, and missing. When it happens, own it fast and be honest, and the relationship usually survives. Be careful using a general-purpose chatbot as a therapist. Blake's warning, and the reason the founders of Sonia built a purpose-built tool instead: the big consumer models are designed to make you feel good about yourself. If you need to hear something hard, that's the last thing you want. He went from skeptic to advisor in six months. Blake met the Sonia founders at a mental health conference, tried the app to be polite, and by the third session was getting insights he hadn't gotten elsewhere. He now spends five to ten hours a week helping them. His reason for loving the work: "Now I get to be the coach instead of the athlete." Stop chasing balance. Design for harmony. Blake picked this up from an executive at Cannes who said she'd given up on balance. He goes hard in phases. Full dad mode with the office waiting on emails. Then all in on a launch and missing things at home. The measure isn't evenly split day to day. It's whether, over a year, everyone in his life feels like they got what they needed to thrive. Including him. Reflection Questions What did you actually feel grateful for today? Not the category. The specific moment. What is the sentence you've been repeating to yourself since childhood, and is it true? In your last hire, how hard did you try to talk them out of it? Or did you spend the interview selling them, and then sell yourself? More Learning #598: Sam Parr - Bold. Fast. Fun. Living by a Mantra & Building a Media Company #547: Dr. Michael Gervais - Stop Worrying About What Other People Think of You #676: Jesse Cole - Built for The Fans (The Owner of the Savannah Bananas)  Episode Chapters 00:00 Meet Blake Mycoskie 01:38 Surfing is Great for Deep Thinking 03:41 Make Your Gratitude Specific 05:39 Blake Sold TOMS and Fell Apart 11:20 Advice for Those to "Make It" and Feel Nothing 13:23 "I Am Enough" and the Bracelet on His Wrist 17:35 The No Magic Pill 19:41 The Risk of Chatbot Therapy 22:42 A Surgeon Dad, a Bestselling Mom, and the Pressure Nobody Said Out Loud 25:13 Telling Your Kids They're Enough 31:31 How He Got Country Music Art on the Side of Buildings 35:15 Learning to Be Proud of TOMS Again 38:49 Hiring Around Your Weaknesses 41:25 Try to Talk Them Out of the Job 45:07 You Don't Attract What You Want. You Attract What You Are. 46:54 Don't Wait for Permission 48:34 Be Known for Doing What You Said You'd Do 50:02 The Champagne Question: Harmony, Not Balance 52:28 EOPC

Picture this: A software engineer logs onto Zoom for a coding interview. No interviewer ever shows up. Another job seeker has sent out roughly 5,000 applications to no avail. And then there are the jobs that may not really be available at all — listings for positions companies may have paused, plan to fill internally, or are simply using to build a future talent pool. All of this has many people asking: is the hiring process broken? USA TODAY Wellness Reporter Rachel Hale joins The Excerpt to share her deep dive into the state of hiring.Let us know what you think of this episode by sending an email to podcasts@usatoday.com. Episode transcript available here. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Subscribe to This Week in Hospitality wherever you get you podcasts: Spotify - https://open.spotify.com/show/5oPExA0txHMjEI5Ye13IUy Apple Podcasts - https://podcasts.apple.com/us/podcast/this-week-in-hospitality/id1849637233 Youtube - https://www.youtube.com/@ThisWeekinHospitality   On this week's episode the guys are joined by Alice Sherman, CEO of HVS Executive Search! Alice Sherman has placed some of the most powerful executives in hospitality. As CEO of HVS Executive Search, she's seen thousands of resumes, sat across from hundreds of owners, and walked the halls of Congress to lobby for the industry. Her message to the business? You're still hiring wrong.   Years of experience is the most overrated qualifier in the industry. Cover letters are dead. And the best talent isn't chasing the big brands anymore — they're running toward independent, luxury, and boutique properties where they can actually build something. Alice breaks down what a modern resume should look like, why the Chief Commercial Officer is the new CEO succession play, and what happened when she went to Capitol Hill and realized most lawmakers had no idea hospitality employs more hourly workers than any other industry in America. Then the crew gets into the stories. Google just scooped up Spirit Airlines' entire operational data set — pricing models, booking curves, 100 million emails — for $10 million. That's less than Spirit spent building its headquarters. Why didn't anyone in travel bid $11 million? Timeshares are back, and Gen Z is driving the bus. 92% satisfaction. 80% occupancy. And the generation that hates commitment is apparently fine with shared vacation ownership. And Disney just invented a new metric to make sure Wall Street sees what's really happening: the cruise business is surging, and $12 billion says they're just getting started.   About the Guest: Alice Sherman Alice Sherman is the CEO of HVS Executive Search, where she leads the firm's global executive placement practice across hospitality, restaurants, and private equity. She started her career on the floor, running operations in fine dining restaurants and boutique hotels, before moving through recruitment, training, openings, development, and brand communications. She joined HVS as an Associate and worked her way up, eventually overseeing the entire Americas practice before stepping into the global CEO seat in 2026. Alice advises ownership groups, C-suites, and boards on leadership architecture, succession planning, and organizational design, and is always glad to be a resource for stakeholders navigating an executive change. Alice on LinkedIn: https://www.linkedin.com/in/alicesherman5    Your Hosts: Zach Busekrus — Journey LinkedIn: https://www.linkedin.com/in/zachbusekrus/ Instagram: https://www.instagram.com/behindthestays/   Scott Eddy — Global Travel & Hospitality Expert @MrScottEddy LinkedIn: https://www.linkedin.com/in/mrscotteddy/ Instagram: https://www.instagram.com/mrscotteddy/   Ben Wolff — Founder of Onera & Oasi LinkedIn: https://www.linkedin.com/in/ben-wolff/ Instagram: https://www.instagram.com/iambenwolff/   Edwin Kramer — Luxury Hotelier Consultant & Former GM LinkedIn: https://www.linkedin.com/in/edwinckramer/ Instagram: https://www.instagram.com/edwinkramer/  

In July, Gov. Josh Stein signed a bill that makes big changes to the laws governing state government employment. He says the laws largely haven't been updated since the 1960s. Among the changes. state employees will find a faster hiring process, more parental leave and bereavement benefits. The bill passed the legislature unanimously, thanks in part to a bipartisan group of lawmakers and advocacy from the state's top human resources official in Stein's administration. Staci Meyer, director of the Office of State Human Resources, joined WUNC News' Colin Campbell to discuss the bill and how it will address the high job vacancy rates across state agencies.

When we first dicsussed the Summer of Simulative AI in 2024 we knew it would be a brief summer, but it has recently come back with a vengeance with SimGym in April and now Simile AI's $2B Series B, backed by GreenOaks and Index Ventures with prominent backers like Fei-Fei Li and Andrej Karpathy, running tens of millions of simulations for Fortune 100 clients like CVS and 85–99% accuracy vs human focus groups. Time to catch up on why this Second Summer of simulation is working!From creating Smallville, the landmark 2023 paper on Generative Agents that showed AI characters could remember, plan, socialize, and develop emergent behaviors, to now building foundation models of human behavior, Joon Sung Park is trying to answer a much bigger question: what if we could simulate the world before making decisions in it? In this episode, the Simile co-founder and CEO joins us to unpack the path from generative agents to digital twins, why today's frontier models still fail to capture how humans actually behave, and what it would take to eventually simulate all 8 billion people on Earth.We go deep on Simile's approach to modeling human behavior: long-form interviews, observational and transaction data, randomized controlled trials, population-level and individual-level models, and post-training on the causal mechanisms behind why people make decisions. Joon explains how his research created digital twins that reproduced human behavior and attitudes 85% as accurately as people reproduced their own responses, why models optimized to be rational can be bad simulations of irrational humans, and why understanding “social physics” may require changing model weights rather than simply prompting frontier LLMs.We also explore the much larger ambition behind simulation: testing products and policies before deploying them, finding counterintuitive paths toward desired outcomes, modeling emergent behavior across entire societies, and potentially tackling problems like climate change, democratic instability, and UBI. Joon reflects on scaling laws for simulation, the economics of data-center-scale simulated worlds, the connection to Thomas Schelling and psychohistory, why simulation is surprisingly similar to painting, and whether we might already be living in one.We discuss:* How Smallville and Generative Agents led to Simile* Why Joon's team asked: “What if we can just recreate the world that we live in?”* Why useful personal agents require deep models of their users* Memory architectures, Markdown files, and the limits of prompting* “Social physics” and behavioral foundation models* Why web data captures what people say more than what they actually do* Interviews, transactions, observational data, and randomized controlled trials* Why predicting the future matters less than understanding how to shape it* How Simile creates representative simulated populations* Simulation versus prediction and the connection to Foundation's psychohistory* How to evaluate simulations instead of simply stacking LLM hallucinations* Creating digital twins of 1,000 real people and reaching 85% behavioral accuracy* Why frontier models can struggle to reproduce real human behavior* Why good simulations need to reproduce human biases and mistakes* Post-training models on randomized controlled trials* Population-level versus individual-level simulation* Scaling laws for human simulation* The long-term ambition to simulate all 8 billion people on Earth* Whether simulations could help solve climate change or detect collapsing democracy* Thomas Schelling and the history of agent-based modeling* Why future simulations could require an entire data center* Multi-agent simulations and what happens when simulated people interact* Replacing expensive human panels with synthetic populations* Why market research is only the starting point for simulation* Why Joon sees simulation as surprisingly similar to painting* Using simulation to study questions like UBI* Whether we are already living in a simulation* Why AGI and simulation may be the twin technologies of advanced civilizationsJoon Sung Park* LinkedIn: https://www.linkedin.com/in/joonspark* X: https://x.com/joon_s_pk* Website: https://www.joonsungpark.com* Simile: https://www.simile.comTimestamps00:00:00 Introduction and Joon's Path from Art to AI00:01:46 Smallville, Generative Agents, and the Origins of Simulation00:05:03 “Let's Just Create a World” and the Future of Personal Agents00:09:53 Social Physics and Behavioral Foundation Models00:14:08 Prediction vs. Simulation: How Do You Shape the Future?00:16:59 How Simile Models Real People and Populations00:25:35 Evaluating Simulations, Digital Twins, and 85% Accuracy00:30:23 Post-Training Models to Reproduce Human Behavior00:40:04 Scaling Laws and Simulating 8 Billion People00:43:10 From Schelling to Society-Scale Agent Simulations00:46:13 The Cost and Economics of Simulating the World00:52:05 Real-World Use Cases, Synthetic Populations, and the Market00:57:27 The Future of Simulation, Painting, and UBI01:04:23 Are We Already Living in a Simulation?01:06:08 Building Simile and HiringTranscriptIntroduction: Joon Sung Park, Simile, and the Story So FarVibhu [00:00:00]: Today, we have Joon in the podcast. Excited to kick this one off. Very exciting company. I wanna kick off and ask you the question, talk us through the story of your life. How have you gotten here?Joon [00:00:13]: Yeah, for sure. I'm really excited to be here. A story of my life. So I was born in Korea, and I lived there for a good 11 years or so of my life, and then my family moved to Boston. So we moved when I was 11, and my parents were doctors, so they were going through their postdoctoral studies. My dad was a surgeon, so he was doing his sabbatical years at the Boston Children's Hospital. So I grew up there, not too close to tech. I was very much a music and artsy, painting kind of guy.Vibhu [00:00:49]: Painting.Joon [00:00:49]: Exactly. I got into painting a little bit later, in high school, but that's what I used to do. And then I grew up mostly in the East Coast after Korea. So I lived a good number of years in New Hampshire, and then I went to college in Pennsylvania. And I got into more of this tech scene, in college. So I was originally trained to be an artist. I thought that would be my professional career. So it wasn't a hobby. It was like, “Hey, let's make a living out of this.” And then gradually, I got really interested in this idea of, hey, the greatest artist often creates their own medium, and the best medium that we had available today was in computation. So I decided to go deeper into that, and one thing led to another, and we can go deeper into this, but I decided that research was something that I gradually got interested in, and here I am.Smallville, Generative Agents, and the 2023 Breakout PaperSwyx [00:01:46]: So there's a lot that you packed into the research components. You had one of the best papers of 2023, which was the generative agents paper, commonly known as the Smallville paper.Swyx [00:01:58]: Feel free to call back to anything else that you mentioned, but most people would have heard of you from this. Do you have any statistics on how many people have, like, read it? arXiv gives you something, right? Some stats.Joon [00:02:10]: Yeah, it's a good question. How many people have read it, I'm not sure.Joon [00:02:14]: I know we do keep track of citations, and they are going up quite fast.Swyx [00:02:23]: Yeah, Google Scholar has 7,200 citations.Vibhu [00:02:25]: I feel like it made a bigger hit than that, and it was a pretty instrumental paper. It got cited so many times.Swyx [00:02:34]: It is frequently the answer when people ask, “What is the best paper you've read recently?” It's this one.Vibhu [00:02:39]: I thought the memory component was pretty underrated. It was a very good early memory system, and one of the biggest papers.Foundation Models and the Search for Killer ApplicationsJoon [00:02:47]: Yeah, so maybe I can talk a little bit about how this particular paper came together. So when I got into research, it was back in 2020 when I started my PhD program at Stanford, and that was the year, when we were about to get GPT-3 to be available. So we already had GPT-2, and you could sense that there was this new class of models that was just becoming available in the market, and the team got very intrigued. And the general consensus was, “Well, is this model going to be useful for anything?” “It's really strange that these models are not trained to do any particular task.” But we decided to take a bet. So a large group of scholars at Stanford, and it was led by one of my co-founders, Percy Liang, and we came togetherSwyx [00:03:35]: Who coined foundation models.Joon [00:03:36]: Who coined the term foundation models. We wrote this paper, where that term came from called Opportunities and Risks of Foundation Models. And during that process, really the thing that I started to think deeply about was, here is a model that is fundamentally new in our ecosystem. The reason why this was new was it wasn't, again, trained to do anything in particular, but its premise was it could do anything and everything. It was like a stem cell, if you were to take a biology analogy. And I got really interested in this idea that, well, if we were to really think about what are the killer applications that this particular technology would enable, what would that be? Many of my colleagues were using this for simple classification, simple generations. Interesting that these models can do that, but from an interaction perspective, not that interesting. We've known how to do that for many decades. And what we came down to was these models are trained on this very broad data from the web, right? So these are human behavioral data. It's social media, Wikipedia, all these data. So if you poke at the right angle, then you could see human behavior that would just pop out that's quite realistic, and we've never seen that before.The Time Machine Game and Recreating the WorldJoon [00:04:45]: So that got us really interested. The exercise that we decided to do, with this particular group of colleagues, Michael Bernstein, Percy Liang, and myself, who ended up becoming my co-founder at Simile, we sat down and we played this game that we call the time machine game.Joon [00:05:03]: Imagine we were to get on a time machine and fast-forward 10 years and look back. What would have been the single application that will have mattered that would be the most interesting and inspiring? And when we thought, “Well, what if we can just recreate the world that we live in?” it's really hard to get more ambitious than that. Like, let's just create a world.Joon [00:05:24]: And that's where we started. And initially, we had this paper that was a precursor to the generative agents paper called Social Simulacra.Swyx [00:05:32]: Before you go further, were there other candidates for the most ambitious thing in the time machine exercise? What was number two or number three?Personal Agents, User Models, and Why Simulation Came FirstJoon [00:05:44]: There is a close second that we were considering, which ended up becoming more of these automation tools, especially the vision around really personalized agents that would do things for you.Swyx [00:05:59]: That's also happening.Joon [00:06:00]: It's also happening. But it was interesting for us, right, in that the reason why, we decided to go with the idea of simulation, one, I was a huge science fiction nerd, and this idea of creating simulation, I was personally really just fascinated. I loved the idea. It's really cool to see, like, a game town like this and just see these agents live in it. But at the same time, my bet was if you were to create a really amazing personal assistant out of this technology, what you need first is an amazing model of your users. So I told a model, “Hey, can you go buy late dinner for me?” And it orders Hawaiian pizza, and I do not like pineapples on my pizza. Then it totally failed. The way for it to not make that mistake is only by having a deep understanding of who I am. And I gave a very simple and dumb example here, but you can imagine how this core understanding of people is instrumental. This is how, if we have our family and closest friends, they have a good mental model of who we are. That's the basis of our social connection. So our bet also was this technology around simulation, creating accurate representation of people ought to precede the more complex agents that would automate the world that we live in. So that was the bet. But that was a very close second, and I'm still very much fascinated by it. I think there's a lot of interesting work that's going around. My hot take here, though, is I don't think we've seen a true personal assistant that's useful, in ways that meet the ambition of that particular line of work. I think there are early applications that are interesting, and if you talk to even ChatGPT nowadays or Claude, they know a lot about us. So a lot of the generation it's doing, I do think it's much more tailored, but I think the ambition is quite large in that field, and I don't think we quite have all the right ingredients just yet.Swyx [00:08:01]: So OpenClaw and these personal agents, what do you want to see from them that they don't currently have?Memory, Markdown, and the Limits of PromptingJoon [00:08:09]: I do think it's slowly getting there, but I do generally want them to have much deeper understanding of the person. Right now, you look at the models. OpenClaw, what it's leveraging is a Markdown file, and I think it's quite clever, right? So if you look at the generative agents paper, this was the same intuition that we had, where initially when we were creating the memory architecture for the generative agents, and, like, this is, like, back in 2022, so we didn't really quite have the idea of even agentive architecture or the term agent. But the intuition that we shared with some of the work that's coming out today was we initially thought, “Well, do we want to make the memory into, let's say, knowledge graph? Do we want to train a bespoke model?” All of these things. And what we decided to do was, “No. Just forget about all this.” These language models are quite good at modeling text and understanding and reasoning about text. So just put everything in a Markdown file or a text file. You're done. I thought that was quite interesting that we could do that, and there's a lot of strength in doing that. But also, there are limitations. It's the way you retrieve and make sense of data that's extremely large, it takes a lot of work. So I think that technology is getting better. I also do, however, think, there are certain things you just cannot shape just by prompting the model. So to some degree, you do need to touch the parameters of the model itself. So there is this work that I do think does need to happen, and it is happening. The question is, how far can we take it? How do we source data, and how do you also create an ecosystem where people are continuously feeding data to this model so it's learning about you?Vibhu [00:09:50]: What's the intuition between why you need to do it in the model?Social Physics and Behavior Foundation ModelsJoon [00:09:53]: My intuition behind the actual when do you train or even post-train a model versus just prompt a model is if the model has to learn the underlying physics of the world that it's operating in. So it has to learn new social physics. The places where it doesn't have to train are the places where it already has the physics. We trust the physics. It already has the base statistics, but it's just trying to react to an environment. Then I think you can just prompt your way into getting the actions out of it. I don't think the models that are out in the open have yet learned the complete mapping of social physics of humanity. This is one of the core theses of Simile, right? And one of the core reasons why that is the case is if you look at the data that the model was trained on, these models were trained on the web data, like, whatever was available on the web. And these are really interesting data sets, but they are fundamentally the self-exposed attitudinal data with some behavior data that's sprinkled around here and there. And it has yet to learn the really deep behavioral nature of people, not just what people say they do online, but what they do in real life. And this is one of what I would consider to be the dark knowledge of humanity that we haven't quite captured. And it's these data that would also need to get factored into the model creation.Vibhu [00:11:21]: You call it behavior foundation model.Vibhu [00:11:23]: There's a good one-liner here, but outside of that, what type of data do you need? What are you changing on the model level? How do you go about modeling, doing a behavior foundation model?The Three Data Buckets: Interviews, Behavior, and CausalityJoon [00:11:35]: We think about data in three buckets. So one bucket is interview data. It's quite interesting. Rich qualitative data is interesting. It's not behavioral, but we would literally ask people, “Hey, tell me the story of your life.”Vibhu [00:11:53]: It's just what we're doing here exactly.Joon [00:11:54]: The question that you all asked at the beginning of this interview literally is the question we also ask. And we ask our participants to go a little bit deeper, than how far I went. Maybe I can give more of my life story in lieu of this. But the reason why that data is interesting is by learning about this very long-tail information about people, you get a lot of texture around this model, like, this person as a model. So even understanding their childhood memory or even their trauma, their first love, these things, quite informative in ways that's really hard to predict. So that's one. Then there are two tranches of what I would consider to be the behavioral data. One kind of behavioral data is observational. So these might be like transaction data, or these might be data that you can get by scraping the web, right? So you can imagine why these data sets would be interesting, right, because they give you the base statistics of people's behavior.Joon [00:12:55]: But then there is the last category of data, that I personally think is perhaps the most important, which is the data that describes the causal mechanism, the whys of people. Some of this is covered by the interview data, the qualitative, because people talk about why they made certain decisions. But really, where you get to see the most behavioral aspect of this is in randomized controlled trials, like RCTs. Imagine you have the same setup, but you have a few different variables that you are trying to tweak. Can you get realistic human behavior out of it in ways where, imagine you had this particular option. Imagine you're even trying to choose whether you're going to drink coffee or not. The day you drink coffee versus the day you didn't drink coffee, does your behavior change? That's a data set that describes a causal mechanism. This is quite important in modeling people. The reason why this is important is oftentimes when people come to us, or not just to us, but the reason why people are interested in simulation isn't because they want to predict the future. If you're trying to win against the stock market, predicting the future is interesting.Prediction vs. Simulation: Shaping the FutureJoon [00:14:08]: But most people, most decision-makers, what they want to know is, how can we shape the future? It doesn't really help you to hear that your sales are going to tank in two quarters. They're just gonna say, “Wow, that sucks.” What they want to know is, well, what do we need to do now to avoid that future? That's the causal mechanism. And this is also very hard data to come by, right, because the world is our ground truth, but it happens once. So in a very controlled setup where everything is equal except for one variable, this kind of data set rarely happens. So this is a reason why this data set is both hard to come by and quite important if you're trying to model human behavior.Swyx [00:14:50]: So behavior, I think, is the hardest data set to acquire. What is out there? What is even possible? You're not going to know a lot of details about my life. I don't even have data for myself on my own health or habits, and I just don't log everything. So how can you have that data?Joon [00:15:14]: So we run a lot of randomized controlled trials.Swyx [00:15:17]: But you put people in the lab, they watch them sleep, or what?Joon [00:15:20]: We do care a lot about the consent process. People know that we invite them to be a member of this community to both share data and have themselves represented in different forms. But we bring a lot of people to the lab, or virtual lab, where we design experiments that would pose them real behavioral decisions. And often in these experimental setups, what makes the difference between what is attitudinal versus behavioral is whether the stake in your decision is real. That's ultimately what makes it behavioral. So in these setups, we are inspired by our colleagues in social sciences, psychology, and so forth. So when they run studies, the techniques they utilize is imagine there's an online store that you're inviting people to come by. Then whatever they purchase in this experiment, they actually get that item delivered. Like, these are the things that make the stakes real. So we run a lot of these experiments, and we also do partner with firms. Right now, we also have customers who are quite excited to at least give us a glimpse of the behaviors that their users exhibit so that we can get a little bit deeper understanding of how people behave in these different platforms.How Customers Use Simile: Populations, Queries, and ExperimentsVibhu [00:16:39]: I think on the customer side, they have a lot of data about their users, who has bought. They have the action data.Vibhu [00:16:47]: Can you walk us through an example of what someone comes to you for? What questions would they want solved? Do you customize a model for them? Do you have something off the shelf? What does that look like?Joon [00:16:59]: Today, when people leverage our models, it's often to better understand the population of their interest. So usually, the start of the relationship, we come together and hear about what population they want us to model, right? So it might be that if you're a CPG company that's selling to all of the US, then maybe it's fairly straightforward. You want to model the gen pop of the US. But at the same time, if there is a vertical or if there's a market that they're trying to go into, imagine, they want to better understand, let's say, people in their 20s and 30s living in California. That's a much more specific population. So we hear about this population, and we go recruit these people, with consent, and with incentives, and we collect some of their data and create a model of these people. Then what our product allows you to do is query them. So it can take as input a filter that is a description of the population that you want to talk to, just like the one I just mentioned, and an environment. The environment can literally be survey questions, behavioral experiments, It can be A/B testing. Oftentimes, the core use cases are things like concept testing, to start with. But also, people sometimes want to do focus groups or one of the fun use cases that we also serve is even modeling things like earnings calls for public companies.Joon [00:18:21]: So these are the use cases that we often start with.Swyx [00:18:23]: Concept testing, is that an established term? I've never heard of concept testing.Concept Testing, Gallup, and PoliticsJoon [00:18:27]: Yeah. So it has to do with they have, let's say, different messaging, different products, different ideas.Swyx [00:18:32]: It's like a marketing exercise.Swyx [00:18:33]: Okay, got it. Got it. Politics?Joon [00:18:36]: We do, have a strategic partnership with Gallup, and of course, Gallup is deep into policy space and so forth. Right now, we have not worked deeply with politics, like that area just yet, however.Swyx [00:18:49]: I'm curious if there is demand or if they really would have different needs that somehow fundamentally don't mix with your existing, users or people.Joon [00:19:00]: I think there's certainly demand.Joon [00:19:02]: But we are very much mindful of how this technology gets adopted and the societal impact that we'll end up having with this technology. And I do see politics as an area where a company has to be particularly thoughtful about the way they operate and make impact. So this is where we also want to make sure that we form enough of guardrail and perspective on how to leverage this technology before we go on to serve markets like the politics.Swyx [00:19:29]: I'll give people an example. one of my favorite shows is The West Wing. I don't know if people have watched.Swyx [00:19:34]: One of the key storylines is, like, the president has, multiple sclerosis, but they haven't. they need to figure out how to disclose it. So they run a poll with a fake governor and ask people to respond on the poll,Counterfactuals, Polling, and When Simulation Is UsefulSwyx [00:19:47]: They try to make decisions based on the results of that poll on, like, how well they'll be received, like where, how should we play this?Swyx [00:19:54]: And I'm like, well, I think those counterfactual things, I would use a simulation for this if I could trust it.Joon [00:20:01]: For sure.Joon [00:20:02]: In that show, how'd it go?Swyx [00:20:04]: In that show, it was, like a foregone conclusion. They were like, “We know it's bad. We just don't know how bad.” And then the poll came back. It was like, “It's really bad.” And then they just did it anyway.Joon [00:20:14]: Part of it is to show, right? So you're, you're looking at the ideaSwyx [00:20:17]: Maximizing drama.Joon [00:20:18]: How bad could it be? Oh, it's horrible.Swyx [00:20:20]: And to some extent, I think that is part of the trick of the, or the challenge or with being a customer of yours, which is that if I know it's. if I roughly know and can intuitSwyx [00:20:35]: What the effect is going to be, do I need you? What sensitivity of it, of effect do I need in order to make a decision, right? So for example, if I, my approval rating is 50%Swyx [00:20:48]: And I, they have this negative piece, news item comes out, and it drops to 30.Swyx [00:20:52]: If it drops to 20, if it drops to 40, do I care? No. It, I know it drops. It's negative. So when do I care about simulations?Joon [00:21:01]: You do something that's clearly bad, that's not popular, and people don't like you, like, yeah, it's likeSwyx [00:21:05]: You don't need a simulation.Joon [00:21:07]: Yeah. Well, so there are a couple of things. one is, there are use cases where, like every day, developers, designers, policymakers, marketers, every single day, they create assets. They create new products. And turns out, it's many of the decisions in hindsight is obvious. Yes, of course this is bad, but we still run those studies because understanding the magnitude and understanding how acute something is quite difficult, even if, we feel like, of course, like this makes sense. this is the reason why we make so many mistakes. Like, every time somebody goes online and say something that has huge backlash, you look at that and like, “What an idiot.” However, it's tough. That's one. There's also another aspect here, which is, again, this is the reason why simulation is different from prediction. In simulation, in the ideal case scenario. So what simulation is trying to show is it's trying to show each step of the way or each step that we need to take to get to a certain outcome, right? So in the most advanced simulations, sometimes the next step that we're suggesting might be quite counterintuitive. The analogy that I sometimes give, and I ground it in a more realistic example, but, I, as I mentioned, I'm a huge fan of science fiction, and I don't know how, many of the audience members have read, like, things like the Foundation series by Asimov.Simulation as a Path, Not Just a PredictionSwyx [00:22:37]: Oh, yeah. We've mentioned psychohistory a number of times.Joon [00:22:39]: Okay, fantastic. So I might be, talking to the right crew. If you read Foundation series, literally the first act is there's a group of scientists who have found out that, “Oh, our galactic empire is going to collapse, and we're going to have 30,000 years of unrest.” And they run psychohistory, the simulator that tries to teach them, “Okay, how can we keep this unrest to a 1,000 years?” And they plan this out, and the first step of that plan is to get the scientists who say, “Okay, this is coming,” exiled into this random place in this, galax- galaxy.Swyx [00:23:18]: Terminus.Joon [00:23:19]: Exactly. And that's so counterintuitive. Like, what a strange move that you literally sent the group of scientists who was raising voice around this potential collapse of galactic empire into nowhere. How is that the right first move? Well, it turns out in this particular simulation, that was the move.Joon [00:23:40]: It's these things, right? And the reason why these reasoning is possible is because you're showing the step function or each step that results in a particular outcome. So really what simulation allows you to do in its highest form is you give it not a problem or question, like what would people answer to the survey? That's not what we do. What we tell it is, “Here is a goal that we have. In the context of foundation, we want to keep the unrest to a 1,000 years. What is the path that we need to take now to get to that particular future?” And that's what simulation allows you to do. Now, translating that into real market, imagine you're a automobile company and you're about to release a, EV, and you're trying to understand, well, how do we market EV, to make sure that our stock price goes up? But what if the answer comes down that, well, you can market your EV in XYZ way, but that might change people's perception around the cars that's not EV and make your overall sales to go down. Not very intuitive, especially all you're trying to optimize is EV salesss, and that's the only thing that you're tracking, then that might result in a completely wrong solution, or at least different solution than what you would have expected, whether it's right or wrong.Joon [00:24:57]: That's the power of simulation.Swyx [00:24:58]: For listeners, we covered a similar topic with Mikhail Parakhin from Shopify, where they are working on SimGym. I don't know if he ever talked to you about it. it's very similar.Joon [00:25:07]: ISwyx [00:25:07]: The goal is increased conversion, but then the journey is very unusual.Joon [00:25:12]: Journey is unusual.Swyx [00:25:12]: Yeah. The-- He's trying to look for interventions on a shopping trajectory, which is similar to what you're saying. Like, it's not about the attitudinal, is your word for it.Swyx [00:25:24]: It's about behavior.Joon [00:25:25]: It's about behavior.Swyx [00:25:25]: And that's exactly the difference, right? It's, like, not about the near-term direction about-- but it's more about, like, how do you affect multiple turns of interactions.Vibhu [00:25:35]: You had a good quote at the start about this as well. It's not about people wanting to know the outcome. It's about how they can change it, change the way to get there, something like that. But I wanna take it back to how do we know this is grounded? LikeGrounding and Evaluating Digital TwinsVibhu [00:25:47]: How do you run evals? How do you test that simulations come through? if I was to do the same thing that you described with, say, your favorite LLM, Opus, GPT-5.6, have some agent to map out these thingsVibhu [00:26:02]: How different are the answers we would get if I give it the same goal, the same objective, make a decent system? You're saying that you need to change the model weight. You have your own solution to this. But how far off are we, and how do you check if it's grounded? you have some interesting stuff on your site that points to how you run real evals, but if you could take us through that side. I think that's one of the big concerns that people have. They're like, “LLMs hallucinate.”Vibhu [00:26:27]: “You're just hallucinating layer after layer,” right?Joon [00:26:30]: The way we do this, and this is the paper that we worked on after the generative agents paper that really became the, at least for Simile and also the field of simulation and synthetic panels, really became the foundation. Yeah, this is the paper. the paper is called Generative Agent Simulations of 1000 People. Here's what we've done. For this paper, we brought 1,000 people that's representatively sampled from the US to a virtual lab. And what we have done was we spent two hours collecting fairly wide-ranging data. In this particular study, we focused a lot on this interview data, that was, whose script was taken from this project called American Voices Project. And then we would also pair that with a lot of behavior data and so forth, whatever we can collect within two hours. And then we would send these people away for a couple of weeks. And during that time, I would use this data to create their digital twins. And I would bring the humans, participants back after 2 weeks and have them complete a battery of surveys, experiments, behavior studies. So we have the list here, which included things like behavioral economics games. We would run literally, like, Big Five personality test, General Social Survey. We would also go ahead and run the randomized controlled trials that were published on PNAS. And we would have their digital twins predict how the source individuals would have acted in these studies and surveys. And this is where we could replicate people's behaviors and attitudes 85 percent as accurately as people would replicate their own. So that was the first really paper that gave this validated results that we can model individuals in an accurate way. And what we ended up finding now, of course, in AI space, so this paper came out at the end of 2024. AI space, a year and a half, 2 years, that's a lifetime.85% Accuracy and Why Frontier Models Miss Human BehaviorSwyx [00:28:24]: Yeah. Just, for listeners who are not seeing the YouTube, I just wanna say, like, the headline figure is 85 percent accuracy, like, which is a big improvement over all the otherSwyx [00:28:34]: Methods that you showed.Joon [00:28:36]: But the part that was particularly striking to us, especially as we improved this technology even further, was the generative AI models like ChatGPT, Claude that's coming out, it does give you the right foundation. However, what they do not consider is the true attitudinal and behavioral aspect of people, especially in the population that you care about. So what these models are really good at today is they're trying to become the super rational, objective machines, right? So you go get their data from places like Mercor, Scale. You talk to professional programmers, scientists to create model that's amazing at reasoning. That's what they do. Simile doesn't care about any of this. The models that we're talking about here, what we're trying to create are models that are as dumb as I am, right? So if I make some mistakes, the model has to make the same mistake.Swyx [00:29:34]: Oh, that's very hard.Joon [00:29:35]: That's very hard.Swyx [00:29:36]: You're solving Murphy's paradox.Joon [00:29:37]: That's exactly. And this is a completely different data and training objective. This is also where we see quite a bit of discrepancy in the performance in human behavior prediction between the frontier models, Simile's model, and the models being created in this space, where in some cases, the model performance of frontier models go all the way down to 20, 30 percent, especially if you go into that more niche population on topics that our customers would care about. On more gen pop, it might be around 50 to 60 percent. So it's not very robust. Like, you wouldn't want to make your decision off of these and these findings. If you can bring that up to 85 percent, that is ultimately what people end up getting very excited about.Swyx [00:30:20]: Yeah. Do we wanna keep going on the paper, routes?Joon [00:30:23]: Yeah, for sure. So the last one, was an interesting one. So this, paper was the follow-up paper that we had, to the 1000 agents paper, where the idea was now can we augment the models even further and post-train a model based on a lot of randomized controlled trials? So this was an interesting one. The data is always the most interesting part of modeling in many ways. The data that we got here was there's this, there's this platform called Open Science Framework. So some, the audience might be familiar with this. And there has been, especially in the social sciences over the past 5 years or so, there has been this concern around replicability of studies. And so it was a bit of a crisis, the scientists acknowledged, where we rerun the study and we don't see the same finding.Post-Training on RCTs and Replication StudiesVibhu [00:31:12]: Oof.Joon [00:31:12]: It's tough. And the reason why it's there-- that was often the case was there's this survival bias where the papers that get published often need to maintain what we call the value of less than 0.05 in the experiments that we ran. That suggests that only-- there's only 5% chance that the results that we saw is false positive. But the tricky part was all the papers that were not published, and there's still a 5% chance that whatever we publish is totally just randomly generated. Like, there's a 5% chance that, hey, this effect is not real, but it just happened to be real because of the sampling bias. So because of that, what scientists started to do was they started to register their studies. So before running an experiment, they would go to this platform and say, “Here is the data. Here is the population that we're collecting, and here's the hypotheses.” And they would just say, “Here is our hypothesis.” Like, “This is what we believe.” And you cannot retroactively change those hypotheses. This is what gives us more scientific statistical confidence that whatever effect that you ended up seeing is true. So that ended up creating this really interesting platform where there's one platform that has now contains tens of thousands of real-world experiments and hypotheses. And a lot of these are really high-quality, like, professionally designed behavior studies and random- randomized controlled trials. So we got the data and the studies from this platform and used that to make a point. And this particular, model is not, something that we're serving commercially because this was a part of the open science. But this particular data set, helped us make a point that by collecting a lot of these randomized controlled trials, that are really well-designed, we can make significant improvement in model's capability to predict human behaviors. So that's what this paper was about.Vibhu [00:33:10]: Is this stuff done on a individual level? Like, do I need to tune the model per individual, per company? Is there foundation model changes and then some slight post-training? Anything you can share there?Population-Level vs. Individual-Level ModelsJoon [00:33:21]: So this particular model was trained. the data we had at the level of individuals, but this particular model was trained. We experimented with both. And this is what we end up doing at Simile too. We always train 2, distinct model. One is what we call the population-level model. The other is what we call the individual-level model. And both take very similar input, which is the description of a subpopulation or individual and a stimuli. In this particular work, we've done the same. Here, the results that we are reporting are much more geared towards individuals because we do think that is a harder task in many ways, but that's what we have done.Vibhu [00:34:02]: You seen anything on the questions that humans can solve that models can't solve? So likeHuman Biases, Mundane Choices, and What Models MissVibhu [00:34:09]: Currently, it's, I live 5 minutes walk away from a car wash. It's a 10-minute drive. Should I walk or drive?Joon [00:34:16]: Huh.Vibhu [00:34:16]: The model will say, “Oh, walk to the car wash.” And, you don't have your car.Vibhu [00:34:20]: Is anything like this a problem in simulation? You would assume, like, very simple for human to think about, but if the model is saying you should walk to the car wash, anything here?Joon [00:34:32]: It's less, what can we solve, but I think it's more about what biases or mistakes do people make that models miss. Like, imagine that you are, like the. When I was still at Stanford, I lived in Palo Alto. So it's about, I would say, 40-minute walk from the campus. You ask the model, “Okay, let's go home. What can I, what can I do?” It would likely call an Uber or, give me, the bus time. But for the longest time, I really liked walking back. And the reason why I wanted to do that was not for efficiency. It really helped me think. And I like to walk for, half an hour or 40 minutes or so a day, where I just get to, just think about ideas, research, just get lost in my thoughts. That's very human activity. Unless the model has seen that and understands the importance of that activity, it would miss these kinds of features. So that I think, is fundamentally what we're trying to model. Like, what is fundamentally human might not be the most efficient thing to do, might not be the right thing to do, but things that make us who we are.Swyx [00:35:43]: I'm curious if, there are some data sets that you really want that would materially help you. One version of this may be interesting, which is more valuable to you to acquire as a data set, all of LinkedIn, all of Twitter, all of Facebook?What Data Matters: Social Media, Transactions, and FacebookJoon [00:35:57]: It's a little bit hard to rank, in part because, there's, there's this product saying where no feedback is wrong because it teaches you something about your users. Doesn't matter what feedback.Joon [00:36:11]: I think it's a little bit like that.Swyx [00:36:12]: So just whatever is bigger.Vibhu [00:36:13]: What about a different domain? Say it was. What about all of Amazon data?Joon [00:36:17]: Oh, yeah.Vibhu [00:36:18]: Shopping data, right?Joon [00:36:18]: Shopping data. So Amazon data is interesting in that it's very much behavioral, although, like, what people do on social media, you could squint and say that is also behavioral. But the transaction data is always interesting. It is also most commonly available, however.Joon [00:36:33]: If we were to look at purely social media, like if you really, if I were, if I had to really pick, Facebook likely is interesting because I do think it is most a default version of people. Because you go to LinkedIn, it's very much professional environment. So people put up their, they have their guards up, right? And that still is interesting because that is true human attitude and behavior, but it is not your base state. you go to Twitter- Twitter, people have their own crazy personas, or depending on who you are. Like, my Twitter profile and, persona is very much, initially was I was very much an academic. “Hey, I'm here to share my studies.” Now, I share, things that's related to Simile. But Facebook is one of those more private space where people just connect with their friends. In that way, I do think it shows you a little bit more about who that person is. So if I had to pick, I'd likely pick, Facebook.Swyx [00:37:30]: Yeah. And you're interested in, like, the whole person and their background and philosophy. I, is it too clinical or too machine learning-oriented to just say this is just ways to inject variance and biases? The broad question, is, like, is this any better than a randomized, like, combinatorial explosion version? So we have a link to the TencentBillion Personas, Synthetic Demographics, and Bespoke DataSwyx [00:37:54]: Billion persona paper, where they did not do any of the groundwork that you are doing.Swyx [00:37:59]: They just did like a cross matrix of here's all the professions in the world, here's all the people, possible backgrounds in the world, do a dot product across all of them, and that's it. That's your prompt for a billion people.Swyx [00:38:12]: This will do something. I don't know if it'll do what you do, but it gets you some way, some percent of the way there.Joon [00:38:18]: So this was an interesting paper. Like, what I admired about this paper when it came out was the scale. And you do gradually want to be able to simulate really large societies and interactions. So the scale is definitely admirable. it is relying heavily on the known statistics that went into training the model. So to the extent that you believe that statistics is correct, this is not a bad way to go about this. But the thesis here, and this is something that we also have seen in the market, like if this works, then we have solved simulation.Joon [00:38:54]: It,Swyx [00:38:55]: Because I survey, like, okay, 5% of the US population is in construction.Swyx [00:39:01]: The other 5% is in medicine, whatever, right? And then you just keep going down the list, and then you do the other side. 5% has, like, the big 5 personalitySwyx [00:39:08]: Of, like, neurotic or whatever. That's it.Joon [00:39:11]: That's it. So if you believe that the underlying data set and the platform that we're leveraging has all the right statistics, then this will have solved it. you're at that point merely retrieving the knowledge that is already embedded in the model, in the model parameters. That's not, unfortunately, what we see, where there is such detailed and also niche knowledge about people that if you just take one example, it might feel very mundane, but it's quite rich when you put together, that you do need to do a lot of bespoke data collection to better understand people. And this is also, I think what makes this particular, job fun, which you want to deeply understand people, and the process of deeply understanding them requires a lot of attention to the details. And you do need to pay attention to and pay respect to the daily lives that people lead.Scaling Simulation: From Thousands to SocietiesVibhu [00:40:04]: I wanna talk about scaling simulation.Vibhu [00:40:07]: So what can't we simulate, what can we simulate, and how does scaling affect this? So how big are the models? What if we go from, 8B, like, couple 100 billionVibhu [00:40:18]: Like billion000 parameters, billion000? Do we get scaling? Any interesting emergence? Like, at a certain scale, at a certain amount of training, you uncover anything unusual and any learnings from that?Joon [00:40:31]: What we are seeing is at Simile, so we do post-train our own model. The thing that we're seeing is the early glimpse of scaling law in simulations. The more data about humans and more compute you ingest, you start to get predictive and predictable gains of the model performance in simulating it, simulating people.Vibhu [00:40:51]: Ooh. We need a scaling law curve.Joon [00:40:52]: It's scaling law. Whenever you find it's a beautiful thing. And we're starting to see the glimpse of it, which is quite exciting. But if you talk about the ambition of simulation as a whole, it's not merely about building a model. It's about building a model, then creating the agents that become the individuals in a much larger ecosystem. So they're creating this multi-agent simulation. Down the line, you want these multi-agent simulation to also live in a very rich environment, right? What we are really trying to get to at that point is, hey, can we create. All right, let's do a time machine game again, and 5 years, 10 years into the future, can we create a simulation of 8 billion people living on Earth? I think that's quite interesting. And that really is the vision. And once you get to that state, the questions that you can help answer for the society also start to change from my perspective. The answers are fundamentally about emergence of the emergent behavior of society and large groups of people.Joon [00:41:53]: So the questions that I get excited by, and maybe this is a stodgy- a bit. I have my, academic side of me.Joon [00:42:01]: And for me, it's questions like, can we help solve climate change? If you look at climate change as a problem space, this is what we, like social scientists would often call it the wicked problems, problem where you have many actors with competing incentives for trying to make a very complex decision and coordinating that coordination decision. Very difficult to really solve in real life, which is also the reason why we couldn't solve it. Can simulation help us solve that? Another one is, can we understand the signals for collapsing democracy, or can we understand or can we uncover the origin story of the monetary system? These are societal questions that we never really had a good way of answering. If we can create simulations of our society, you have to believe that these are the problems that we can solve. So that's really the ambition of this field. And, I also think, yes, I think there's a Nobel Prize to be won there, which wouldn't be surprising. And I think there's some amazing societal impact that we can have to help people make better decisions.Climate Change, Democracy, and Societal SimulationSwyx [00:43:04]: Nobel Prize in economics?Joon [00:43:06]: In economics.Swyx [00:43:06]: Oh, I see. I see. Rooting for you to write that paper.Joon [00:43:10]: One of these days. But, one of the scholars that I was deeply inspired by, When I was coming into the space of simulation, is this scholar, named Thomas Schelling.Schelling, Agent-Based Models, and the Nobel PrizeSwyx [00:43:23]: Schelling point?Joon [00:43:24]: So the canonical example of the work that he's done was he was one of the creators of agent-based modeling. So this was, like, in the 1970s and 80s. It's very early days, but this was truly one of the first exemplars of simulations. And one of the canonical model from that time, and of course many of these simulations are trying to tackle the societal problems that's most relevant for their era, it was called the model of segregation. So racial segregation was a big topic, that, we cared about. And what they've done was they created this grid world where they had red dots and blue dots. And these dots were, back in the day, like, they were the agents, and they had a simple rule that governed their behavior. If certain percentage of your neighbors are of different color and if that goes above certain threshold, then you move to a new location at random.Joon [00:44:21]: One of the striking finding of this paper or this agent-based model was for the longest time, people thought the segregation within society was caused by explicit and overt racism.Joon [00:44:34]: But if you look at this model, people's preference towards living with people of the same color, that preference can be very minute.Joon [00:44:42]: But the very small difference causes the society to segregate completely over time. This was very counterintuitive for a lot of people. And this particular work ended up informing housing policies. Mixed income housing, got really inspired by this work. And Thomas Schelling ends up winning the Nobel Prize for having laid the groundwork for very early versions of simulations. The opportunity that I do see here in the more scientific terms, is agent-based models for the longest, had impact in the 1980s, 90s, to some extent, early 2000s, but it has now gotten forgotten by the community a little bit. Because as you can imagine, red dots and blue dots is not really a rich description of people.Joon [00:45:31]: But with the emergence of things like generative AI and, in particular, generative agents, we do have an opportunity to create these agent-based models that are high fidelity enough to help us make really complex decisions. And that's the opportunity that I see. If that truly works, then yes, that is the work that will result in a Nobel Prize.Swyx [00:45:53]: Yeah. For what it's worth, and I grew up in Singapore. 80% of Singapore is in public housing, and public housing has, enforced racial quotas for exactly that reason, which is very interesting. okay, so we talk about scaling, we talk about all these, the agent possible applications.Cost, Reuse, and the Economics of SimulationSwyx [00:46:13]: I'm scared about the cost. if you even-- let's just keep it to the US, about 8 billion people.Swyx [00:46:21]: But, how much does it cost to model so many hundreds of millions of people?Joon [00:46:26]: Oftentimes today, we don't start at that scale, this stage of the, of industry and simulation as technology. But we can get our users extremely rich and meaningful insights even by modeling thousands, tens of thousands of people. And today what we do is every week we are collecting data on the scale of tens of thousands people's data, and we have panel partnerships that gets us to tens of millions of people globally. So that's what we do today.Swyx [00:46:55]: And just as a side note once you've collected one person for one studySwyx [00:46:59]: Can you reuse that same person for all the subsequent studies?Joon [00:47:03]: That's exactly right.Swyx [00:47:03]: Okay.Joon [00:47:04]: The beauty of this model and these agents is the fact that they are domain-agnostic.Joon [00:47:08]: That what you're really trying to understand is what is the fundamental nature of these people? What's their social physics? And there are a lot of, a lot of, people that does change over time. Like, even, like, even things like, how many times have you gone have you been to, like, CVS the past week? that will change. But there's so many traits about people that are also known to never change. Like, your risk tolerance doesn't really change over time. It's very consistent. So it's these things that we're trying to learn. But the scale we are operating is right now hundreds or, tens of thousands to hundreds of thousands. And in many of the core use cases that we are deployed in, and this is more than enough population, to cover those. Really, at that point, what you care about is less the number of people, but more do you have the right subpopulation of interest covered? And this is also the reason why people want a larger sample. It's not because they want, stronger statistical guarantees. It's more that can they filter down to any population of their interest. However, you can also imagine in 10 years, if we truly believe that the compute is going to scale, that we'll have much more availability for compute, and our ambition for simulation is also going to scale accordingly, there's definitely a reason for us to create an entire data center worth of simulations.Joon [00:48:35]: Or in my hunch here is I do think in the next some number of years, we will start creating simulations that will cost as much as training a foundation model. But perhaps it's going to be so valuable to the society that it would be a no-brainer. Right now, even today, like, we are training bunch of new foundation model just so we can say we trained one and we spent tens of millions. But if we can create a simulation at the level of society that would solve climate change, I would run that today. I would raise the money right now just to run that.Multi-Agent Simulation and Social InfluenceSwyx [00:49:10]: Amazing. the follow-up question is, does it also compound if you let the simulations talk to each other?Swyx [00:49:18]: Or do they already do that today? They don't, right, as far as I understand?Joon [00:49:22]: It depends on what simulation you're trying to run.Joon [00:49:24]: In the multi-agent simulation setup, the agents do talk to each other.Swyx [00:49:28]: Right, which is exactly Smallville, right?Joon [00:49:29]: That's right.Swyx [00:49:30]: But a lot of times, for example, in commerce, you're just by yourself, so there's no point talking. which is way cheaper.Vibhu [00:49:37]: But they use all these levels, right? Like, you decide what you will buy based on what other people around you buy and talk about, right?Swyx [00:49:43]: It depends.Vibhu [00:49:44]: It depends.Swyx [00:49:45]: Again, I'm, I'm coming at this from a cost point of view. I'm like, “Oh my God.” LikeVibhu [00:49:48]: I thinkSwyx [00:49:49]: If there is, like, some combinatorial thing of, like, thousands of people talking to thousands of people, then that one million X's might cost.Vibhu [00:49:56]: I have a very different view as the cost point aside. Like, running these studies in reality is a lot more expensive, right? Running any study like this is you gotta have people do it, you gotta sign people up. It's very expensive and sometimes, like, not feasible to run the study.Vibhu [00:50:14]: But the outcome or the decisions you make are very expensive on them, right? So spend X million on something that, the overall process costs 100 million might as well, right? There's, there's a lot of value to be had there. It's a small cost, but I'm excited on the cost side.Joon [00:50:33]: To some extent, and when you deploy technology, you often want to deploy in a way where you can replace existing budget or you can make things more efficient, and that is the best way to deploy. However, the way you capture the long-term value of the technology is making the argument that, no, it's the upside, that by making this better decision using simulation, you have saved yourself or made yourself hundreds of millions or even billions of dollars, and that's a case to be made.Vibhu [00:51:06]: Random tangent question. So if you're doing a lot of inference, a lot of model multi-agent stuff, are you at the point where it makes sense to, train a model that' very sparse? You're expecting to do multi-million dollar runs. Are you thinking about this in model architecture standpoint or inference efficiency, or, you're still at the research phase of it works, we're not super there yet?Joon [00:51:34]: Efficiency, we do think quite a bit about. this is technology that is deployed now in some of the largest enterprise companies in the world, and we do process significant number of queries, that are trying to, simulate the populations in the world. So efficiency is a consistent thing. we don't want to over-optimize too early, so I wouldn't say, like, this is the higher bid Right now, but this is definitely something that we think pretty carefully about.Swyx [00:52:05]: Yeah. Are there other case studies? So we, you talked about CVS, talked about Gallup, Deloitte, Wealthfront.Efficiency, Enterprise Use, and Real-World Case StudiesJoon [00:52:12]: Wealthfront is an interesting one, because one of the things they were trying to do, they were one of the first customers that wanted to do product testing that goes beyond just asking people what they think about, let's say, behavior experiments and so forth. So there, really what we had to do was reason about multimodal input, so images, but also you can also imagine, like, these agents traversing through Figma mockups or websites. So some of the things that our agents can also do is it can be given a domain, like, or, like, a website URL and go use it for a while. It's these things. And Wealthfront was one of the first, customers, that was very excited about this possibility.Vibhu [00:52:53]: What have people been asking? Like, is there any demand that we have not covered? Like, UI testing, right?Vibhu [00:52:59]: I wanna try a new. I wanna ship a new feature, test the UI, simulate how people will do it. Any interesting things that you're seeing demand for?Product Testing, Websites, and Synthetic PanelsJoon [00:53:08]: Today, a lot of the demand does come from like, the places where people have historically used human panels, we can now replace with agents, and these synthetic populations. And this is not replacing human panel. in many ways, the simulation that Simile is building is grounded. So the way that I think about this is we are trying to represent humanity at scale. And in that way, the use cases are what we would expect, but it's the scale of deployment that surprises me.Joon [00:53:44]: Turns out there are so many decisions that people make every day in these organizations, groups, and we want to be able to say, “We listen to people. We have consulted our users.” But in reality, that is rarely the case because getting to people and asking them many questions, it's difficult. It's both costly, time-consuming, but most importantly, people are just not available. If I had to answer 1000 survey questions for this one particular, vendor, even if I wanted to do that, like, I would never do it. And that's very much the case. What simulation can do is ensure that the voices of people are always represented in rooms where the decisions for them is made, right? So all the stakeholders of this particular product launch, ideally they're consulted. That's what this technology really is trying to enable.Market Size, TAM, and Human Decision-MakingSwyx [00:54:39]: In my mind, that means it skews towards more consumer focus, right? Like, anything with a wide enough customer base where you do benefit from the diversity that you represent. What are some rough statistics, just for people who are not familiar with this market in general, what's the market size that. I'm sure you have some, like, rough numbers. market size is, like, a vague questionSwyx [00:55:01]: But, like, how much do people spend?Joon [00:55:03]: So market research is a $100 billion industry.Joon [00:55:06]: But the thing about simulation is not a tool for market research. Simulation is a tool for human decision-making. So the question around what is a TAM here is quite tricky, right? Because it's easy to say, “Well, market research TAM is roughly 100 million or 100 billion.” so is it a TAM? And not really, right? Because in many ways, you're trying to inform all human decision-making. You're trying to inform every decision that are made about humans for humans. What is a TAM for that? It's really unclear. And I'll be honest. Like, I have a scientific background, I have a research background, so I didn't come into the field calculating, oh, what is the TAM for human decision-making? But I just had to assume, well, if we can inform every decision that is made about human for human, that has to be big.Swyx [00:55:58]: Some- something valuable.Joon [00:55:59]: Exactly.Swyx [00:55:59]: To some extent, you are a unicorn founder now, and you have to care as a CEO. But, like, I do think, like, yeah, when you go into these boardrooms with people that you're quoting millions of dollars of contracts for, like, you have to say, “Well, here's what you spend on humans-”Swyx [00:56:15]: “. And here's what we save you, and it's 85% similar.”Joon [00:56:19]: And certainly, the value case, is something that we care deeply about. Like, what is the value that we provide to the users and the decision-makers? But this is also where, like, as a founder, I think valuation only tells one very superficial aspect of the story, and I try not to think too much about valuation, in general, because that's not what also motivates a team or certainly doesn't. I'm, I-- Again, the interesting thing about researchers is we are happy living in academia, getting paid next to. we get paid okay. we don't get paid that much, as a researcher here in academia, but it's the impact and it's the, it's the value that we can provide to the individuals and the society that really drives us. And in that way, ultimately what drives us is the impact. Does the simulation we provide have a real impact in people's decision-making in ways that progresses our society forward? If the answer is yes, then yes. that has to be great business, and we see that in numbers, and we do care deeply about that upside story, but that's the heart of it.Where Simulation Goes NextVibhu [00:57:27]: Do you have any timeline predictions? So we talked about scaling laws of simulations.Vibhu [00:57:33]: You brought up, okay, maybe one day we can simulate how to solve climate change.Vibhu [00:57:38]: Where are we now?Vibhu [00:57:40]: If that's not the end state, what is an end state, and what does progress look like?Joon [00:57:45]: So what I sometimes tell people is simulation as industry, it feels a lot like where GPT-3.5, GPT-4 was, for the AGI saga, which is we have now technology that is powerful enough to do real damage on the verticals that we are tackling. At the same time, there's a lot of progress that is yet to come. And that's, I think, where this is. So the way I see it, I do think there will continue to be breakthroughs both in data, in algorithms, and there will be much more aggressive scaling that will also happen over the next few years. But I think that's roughly where we are.Swyx [00:58:27]: I think that was about the ro

Episode 2020  Brought to you by our incredible sponsor:Ethos: Protect your family with life insurance from Ethos. Get up to $3 million in coverage in as little as 10 minutes at https://ethos.com/hardfactor. Application times may vary. Rates may vary.  00:00:00 Timestamps 00:05:00 Hiring people to do tasks and when to hire a Mexican  00:09:15 The surrogacy/abortion case sweeping the nation 00:27:55 Fanimecon & the foot juice booths they have there for nerds 00:36:10 People dressed as Gandalf are protesting outside Peter Thiel's house  00:39:50 Florida Man dog poop dispute turns violent For more head over to patreon.com/hardfactor for weekly bonus episodes and most importantly HAGFD! Learn more about your ad choices. Visit megaphone.fm/adchoices

Your hardscape business will only grow as fast as your worst contract clause, your weakest hire, or the client you should have turned down. Caleb tackles these operational landmines head-on, answering a series of rapid-fire Instagram DM questions sent in by listener Jesse Zimmerman. The result is a practical blueprint for building the strict operational, financial, and legal guardrails required to run a highly profitable, protected seven-figure contracting company. Key Takeaways: Hire team members who possess a growth mindset and a willingness to learn, rather than those who believe they already know everything. Protect your business cash flow by heavily frontloading payment schedules so you are never left chasing a massive final check over minor details. Document every job site thoroughly with daily photos from day one to eliminate "he-said, she-said" liability disputes with clients or crews. Practice polite and immediate rejection of wrong-fit clients because providing fast clarity is far kinder than making them wait for an estimate you do not want to write. Apply the "ghost project" rule to your marketing by never posting or sharing work that you do not want to repeat in the future. Connect with Auman Landscape

Skills have been on the HR agenda for decades, but they rarely became the basis for real decisions; frameworks took so long to build that the business had moved on before they were finished. What's different now is that AI agents are starting to handle work that used to require a person, and that changes the question employers need to ask. It's no longer just about who to hire; it's about whether the work needs a human at all. When you can map work to the skills it requires, you have a basis for deciding what stays with people and what moves to an agent. Making that shift isn't straightforward, though; it raises questions about what HR itself needs to look like and what capabilities the function needs to develop. So what does it take to make skills the basis for deciding how work gets done? My guest this week is Ciara Harrington, Chief People Officer at Skillsoft. In our conversation, Ciara shares how Skillsoft is rethinking which work needs a person, why HR has to become more technical to lead that conversation, and what happens when you add "bot" to your talent strategy. In the interview, we discuss: How is AI changing the way we think about skills? Build, buy, borrow, bot Helping leaders understand what work could be done differently Tasks, skills, jobs, and units of work How understanding skills underpins this transformation AI can be more expensive than humans Building an effective governance model Hiring technical skills into HR and connecting the data Critical human skills and why they need to be developed faster What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Liz Peek discusses the resilience of the American economy, noting that high-end consumer spending remains strong despite recession fears. Small businesses are reportedly "humming," with hiring and profitability reaching their highest levels since 2026. This economic momentum is increasingly driven by a massive boom in AI development, which has created an exponential demand for long-term capital. However, this appetite for money is pressuring the bond market, leading to higher mortgage rates that hinder the housing industry. Peek highlights a growing divide between red and blue states, where the former are more likely to embrace AI investment while the latter resist it. She also addresses the influence of Hasan Piker, a radical Twitch streamer who mobilizes young men for Democratic candidates like Abdul El-Sayed. Despite concerns about AI-related job losses, Peek argues it is a vital tool for productivity and medical advancement. (1)

A growing advisory firm and a valuable advisory firm aren't always the same thing.Plenty of founders know their AUM, revenue, and production. Far fewer know how an outside buyer would judge the business if they had to put a price on it tomorrow.SHP Financial went from less than $30 million in AUM around 2014 to roughly $2 billion AUM by the time they entered the acquisition process. But going through that process forced Derek, Keith, Matthew, and Michelle, to look at the business through a completely different lens.We talk about the things buyers cared about that they hadn't always measured, the founder dependencies that can quietly hurt enterprise value, why impressive growth numbers don't always tell the full story, and what SHP had built behind the scenes that made the firm attractive to an acquirer.If you're building an advisory firm you eventually want to sell, or simply want a business that can grow without depending on you, this conversation gives you a look at what the market actually values.3 Insights From This Week's Episode#1.) Growth Doesn't Automatically Create Enterprise ValueYou can have significant AUM, strong production, and years of growth while still owning a business that's difficult for someone else to buy. We explore the questions an acquirer asks that many advisors don't start thinking about until much later.#2.) What Happens When The Founder Is The System?If sales, service, planning, and key client relationships still depend on you, your firm may be more fragile than it looks. SHP's acquisition experience revealed why the business behind the founder matters just as much as the founder's ability to produce.#3.) Are You Tracking The Wrong Growth Number?A big production year can look great on paper while hiding what's actually happening inside the business. Derek, Michelle, and Keith share how the acquisition process changed the way they look at growth—and why the scorecard buyers use may be different from yours.WANT TO LEARN WHAT ACTUALLY DRIVES VALUE FOR YOUR FIRM?Apply for a seat at The Table for a one-time, behind-the-scenes training with SHP Financial on the metrics, systems, and lessons that matter most when building a business that's bigger than you. Apply now to reserve your spot: https://bradleyjohnson.com/182-the-table-with-shp/SHOW NOTEShttps://bradleyjohnson.com/182FOLLOW BRAD JOHNSON ON SOCIALXInstagramLinkedInFOLLOW DBDL ON SOCIAL:YouTubeTwitterInstagramLinkedInFacebookDISCLOSURE DBDL podcast episode conversations are intended to provide financial advisors with ideas, strategies, concepts and tools that could be incorporated into their business and their life. No statements made in the episode are offered as, and shall not constitute financial, investment, tax or legal advice. Financial professionals are responsible for ensuring implementation of anything discussed related to business is done so in accordance with any and all regulatory, compliance responsibilities and obligations. The Triad member statements reflect their own experience which may not be representative of all Triad Member experiences, and their appearances were not paid for. Triad Wealth Partners, LLC is an SEC Registered Investment Adviser. Please visit Triadwealthpartners.com for more information. Triad Wealth Partners, LLC and Triad Partners, LLC are affiliated companies.TP08265847628 See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

August 19, 2026: I look at new research showing that most workers would reject a promotion if it meant sacrificing their work-life boundaries, and why the traditional management promotion may no longer feel worth the cost. Then I break down reporting that Anthropic out-earned OpenAI in the second quarter. Finally, I get into the surge in boomerang employees, who now account for 35% of new hires, and why companies are increasingly bringing former workers back.

Shoot Us A Message!Hiring for insurance agencies requires a specific strategy to avoid turnover and protect your company culture.This episode covers the common hiring mistakes that lead visionary CEOs to lose their best talent and how to implement better agency systems for long term retention. Mandy Keene, a specialist in helping business owners align their team with their vision, joins us to discuss role fit and leadership. Learn how to identify the right candidates for your P&C agency and keep them engaged.If you are struggling with hiring or culture, check out TeamIQ to find the right role fit for your next producer.Connect with Mandy Keene: mandykeene.com/transformative-coachingKey Takeaways and Timestamps00:00 - Why self-awareness is now a business necessity01:59 - Mandy Keene's path from bullied student to coach04:14 - 25 years of coaching and using assessments05:16 - What separates grounded high achievers from destructive ones09:45 - Why misalignment creates struggle and suffering11:29 - The penguin in the desert metaphor14:14 - Jason's turning point from proving to performing18:14 - How calm and relaxed became the new standard21:53 - What understand.me is and why Russell Brunson created it25:20 - Why assessments reduce hiring risk27:26 - Hiring by personality fit instead of hiring “more of you”30:27 - Why sales hiring often goes wrong32:08 - How assessments reduce interview and hiring BS35:22 - Enneagram, DISC, and different entrepreneurial styles40:30 - Why the “integrator” is often really two or three roles44:43 - Visionaries need a manager so they can stay in the cave and create47:57 - Why EOS is useful but oversimplified for many founders50:04 - The rock star analogy for leadership and energy management53:21 - The Beatles example: staying in the creative lane56:34 - What to look for in sales and service roles60:13 - How to keep top performers by meeting their top values62:55 - Where to find understand.meThe Insurance Dudes ResourcesJoin the Agent Elite: https://www.skool.com/agenteliteBest Seller: https://MillionDollarAgencyBook.comInsurance Dudes Files: https://blog.theidudes.comTeamIQ: https://teamiq.theidudes.comTelefunnel Lead Callers: https://theidudes.comILB: https://insuranceleadbrokers.comInsurance Agency Trader: https://trader.theidudes.comIf this helps, subscribe and hit the bell so you can catch every episode.Follow UsFacebook: https://www.facebook.com/theinsurancedudesLinkedIn: https://www.linkedin.com/company/the-insurance-dudes-podcastInstagram: https://www.instagram.com/insurancedudespodcastSupport the showHey there! Thank you for listening! We'd be SUPER GRATEFUL for a subscribe!And a review over on the Apple Podcasts would be incredible!Check out our newsletter, webinar, and some great Internet Lead tactics at The Insurance Dudes Homepage.We appreciate you!Craig Pretzinger & Jason FeltmanThe Insurance Dudes

Can you deduct your dog, pay your child tax-free, or claim the kitchen table as a home office? Tax rules for small business owners aren't always straightforward. Wrong assumption could lead to missed deductions or problems with the IRS.In this Q&A episode, Mike answersyour questions. He explains which expenses may qualify when a dog is used for marketing, how hiring children differs between an S corporation and a sole proprietorship, and what happens when a child turns 18.He also covers mileage tracking, missing receipts, home office requirements, unreported Venmo income, retirement plan deadlines, college funding strategies, and whether health-sharing payments qualify for the self-employed health insurance deduction. 

The Sorting Exercise That Makes Your Next Hire Obvious I was making millions and still editing my own training videos. For years. I was fast at it and I was saving money, which is how I justified hoarding work someone else should have owned. Hiring feels impossible because your work sits in one giant pile in your head, and you can't hand off what you can't see. Today I'm giving you the sorting exercise that pulls that pile apart. Your only-I-can-do-this column comes out smaller than it feels, and who to hire gets obvious fast. I name the role that lifts the ceiling and what it costs, which is less than you think because you're already paying for most of it in pieces. Not ready for that hire? I'll give you the one hand-off to make this month. Doing it yourself buys you twenty minutes today and charges you those same twenty minutes every single week from now on. RESOURCES MENTIONED IN THIS EPISODE: You're a multi-six-figure female founder with a coaching, course, or membership business, so you've already proven the model works. But your revenue stays unpredictable because your offer, your messaging, and your lead gen are each built partway, and no amount of effort makes up the difference. My Live Free Training shows you which one is costing you the most right now. Save your spot. MORE FROM ME Follow me on Instagram @amyporterfield SUBSCRIBE & REVIEW If you loved this episode, please take a moment to subscribe and leave a review on Apple Podcasts! Your support helps us reach more entrepreneurs who need these insights.

How do you choose the right financial advisor? Mindy Jensen and Scott Trench explain what to look for when hiring a financial planner, including AUM vs. flat-fee vs. hourly compensation, CFP credentials, fiduciary status, advisor qualifications, questions to ask, and how to prepare for your first meeting. If you're considering working with a financial advisor, this episode will help you understand how advisors are compensated, identify potential conflicts of interest, prepare your financial information, and get more value from professional financial planning. To go beyond the podcast: Interested in a Flat Fee Financial Planner? Go to biggerpocketsmoney.com/fipro Get 50% Off Your First Year of Monarch by using code ‘Pockets': https://www.monarch.com/pockets Follow BiggerPockets Money on Social: Facebook: https://www.facebook.com/groups/BPMoney Instagram: https://www.instagram.com/biggerpocketsmoney We believe financial independence is attainable for anyone no matter when or where you're starting. Let's get your financial house in order! Learn more about your ad choices. Visit megaphone.fm/adchoices

The guys have a discussion about MSU's hiring of Dan Bartholomae as the new Athletic Director.

This is The Briefing, a daily analysis of news and events from a Christian worldview.On today's edition of The Briefing, Dr. Mohler discusses the tragic death of Jason Arday, the moral evasion of Luigi Mangione premeditated murder confession, and the resignation of Karoline Leavitt to stay home to take care of her young children.Part I (00:14 – 12:58)The Tragic Death of Jason Arday: This is an Absolute Tragedy, and Cambridge University Has Lots of Questions to AnswerAn update from Jason Arday by Good Law Project (Jason Arday)Statement from the Vice-Chancellor 12 August 2026 by University of Cambridge (Deborah Prentice)Statement from the Vice-Chancellor, 14 August 2026 by University of Cambridge (Deborah Prentice)Professor's Death Leaves Behind Hard Questions for Cambridge on Race and Hiring by The New York Times (Mara Hvistendahl, Megan Specia, Leo Sands, Ali Watkins, and Susan Dominus)Playbooks, plagiarism and a pig's head: new claims surrounding a star Cambridge professor by The Guardian (Lanre Bakare)Part II (12:58 – 20:32)The Moral Evasion of Luigi Mangione: Mangione Confessed in Federal Court to Premeditated Murder and Said He Knew it Was Illegal, But He Didn't Say the Killing Was Morally WrongRead Mangione's Motion Arguing Double Jeopardy in State Case by The New York TimesPart III (20:32 – 27:08)The Resignation of Karoline Leavitt: The Youngest White House Press Secretary in History Resigns to Stay Home to Care for Her Young Children–With the President Trump's SupportSign up to receive The Briefing in your inbox every weekday morning.Follow Dr. Mohler:X | Instagram | Facebook | YouTubeFor more information on The Southern Baptist Theological Seminary, go to sbts.edu.For more information on Boyce College, just go to BoyceCollege.com.To write Dr. Mohler or submit a question for The Mailbox, go here.