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Podcast SummaryIn this episode of the Future Fuzz Podcast, Vince Quinn sits down with Glenn S. Phillips, CEO of Lake Homes Realty, to explore the realities of qualifying leads and managing extremely long sales cycles. Glenn shares how his company has built a thriving niche real estate brokerage focused specifically on lakefront, beach, and mountain properties—markets where the buying process can take years rather than months.Glenn explains why discretionary real estate purchases behave differently from traditional home sales, how Lake Homes Realty uses niche positioning to attract highly engaged buyers, and why expertise matters when selling unique properties. The conversation dives into strategies for nurturing long-term leads, delivering value instead of constant sales pressure, and helping agents stay patient through multi-year buying journeys.Listeners will also learn how Glenn's team combines data, digital platforms, and experienced agents to guide buyers through complex property decisions, while building a defensible sales process designed for long timelines and high-value purchases.Guest BioGlenn S. Phillips is the CEO of Lake Homes Realty, a rapidly growing real estate brokerage specializing in lakefront properties across the United States. Under Glenn's leadership, the company has appeared seven times on the Inc. 5000 list of fastest-growing companies.Lake Homes Realty operates a unique niche-focused model that combines specialized agents with highly targeted digital platforms, including LakeHomes.com. The company has expanded its niche strategy into additional markets with Beach Homes Realty and Mountain Homes Realty, continuing to focus on experiential properties that serve as lifestyle destinations rather than primary residences.Glenn is known for pioneering niche real estate brokerage at scale, combining deep market expertise with long-cycle sales strategies that help buyers navigate complex, discretionary property purchases.TakeawaysNiche specialization creates stronger engagement than broad real estate platforms. Discretionary real estate purchases often have sales cycles that average two years or longer. Buyers frequently research properties online for years before ever speaking with an agent. Providing value—market insights, education, and expertise—is more effective than aggressive selling. Experienced agents are better equipped to handle long-term relationship building with buyers. Qualifying leads often focuses on protecting time rather than determining financial capacity. Buyers today are more informed than ever and can quickly recognize overpriced properties. Unique property markets require local expertise because pricing can vary dramatically based on location and features.Chapters00:00 Introduction to Glenn S. Phillips and Lake Homes Realty 01:02 What Makes Lake Homes Realty Different 01:39 The Niche Strategy Behind Lake, Beach, and Mountain Homes 02:03 Understanding Discretionary Real Estate Purchases 02:22 Why the Sales Cycle Can Last Years 03:11 Managing Long Sales Cycles in Real Estate 04:14 The Power of Niche Traffic and Buyer Intent 04:52 Why Experienced Agents Perform Better 06:22 How Leads Move from Website to Agent 07:11 Delivering Value Instead of Sales Pressure 09:02 Examples of Value-Driven Client Engagement 10:39 Building Relationships Through Experiences and Events 11:04 Aligning Brand Power with Individual Agent Relationships 12:59 Using Data to Help Agents Win Listings 13:26 Maintaining Patience in Long Sales Cycles 15:34 Helping Buyers Discover What They Actually Want 18:03 Why Today's Buyers Are More Informed Than Ever 19:10 Why Distressed Deals Rarely Exist in Niche Markets 20:24 Pricing Strategy and Market Signals 21:27 The Importance of Local Expertise in Unique Property Markets 22:02 Where to Find Lake Homes RealtyLinkedInFollow Glenn S. Phillips on LinkedIn Follow Vince Quinn on LinkedIn
In this episode of "Scouting for Growth," Sabine VanderLinden welcomes Florian Graillot, founding partner at Astorya VC, for an in-depth conversation about the evolving landscape of risk management and insurance innovation. The discussion explores how risk management is shifting from static predictions to adaptive strategies designed for tomorrow's uncertainties, emphasizing the rise of the “frontier firm”—organizations that continuously learn, adapt, and act in real time. Florian Graillot shares insights from his experience investing across insurtech, cyber, climate risk, and financial fraud, highlighting the increasing importance of technology, data, and AI. Together, Sabine VanderLinden and Florian Graillot discuss the structural advantages Europe may hold in building AI-native, trust-driven business models and the critical role of agent-human collaboration in future risk management. They address the challenges faced by incumbents—including talent acquisition, cost efficiency, and profitable growth—and consider what distinguishes great founders in the frontier firm era. KEY TAKEAWAYS This episode underlines that risk management is no longer about controlling yesterday's uncertainties but engineering resilience for tomorrow. I was struck by Florian Graillot's argument that insurance leaders must rethink the entire risk value chain—not just the insurance segment—but encompassing prevention, risk assessment, capital efficiency, and claims. Simply layering AI onto legacy workflows isn't enough; true transformation requires intention, an openness to external partnerships, and a clear ROI focus. It's clear to me that embracing AI isn't “optional practice"—it's existential. Organizations that experiment vigorously and collaborate with tech-first ventures gain a competitive edge, especially as emerging risks outpace traditional data models. Europe's more measured regulatory approach, sometimes critiqued as cautious, actually presents an opportunity to build trust-by-design, ensuring AI is explainable and aligned with both ethics and end-customer value. Ultimately, the essence of any successful frontier firm lies in clarity of vision, a readiness for real change, and a focus on trust between leaders, employees, and customers. As the industry shifts, those who can articulate and measure technology's value, while empowering agent-human teams, will undoubtedly shape the risk landscape of the future. BEST MOMENTS "Risk management is no longer about predicting yesterday's risk. It is about designing for tomorrow's uncertainty." "Either you consider emerging risks as a threat and retreat from the market, or you leverage technology to build resilience. That resilience is the optimistic side of the challenge." "The perfect founding team is a blend of technology expertise and deep industry knowledge—you need both to create real value in insurance." "If you expect big figures tomorrow morning, it will not work... But if you are ready to take more time and invest accordingly, innovation can deliver real and very nice results." "In the end, technology doesn't remove risk. It actually reveals our choices." ABOUT THE GUEST Florian Graillot is the co-founder and founding partner at Astorya VC, one of Europe's most influential venture capital firms focused on early-stage insurtech, risk, and regulatory technology. With 15 years of tech investing experience—ten of them specializing in insurtech—Florian Graillot has an unparalleled vantage point on the evolution of the insurance and risk landscape. He is passionate about backing founders who are redefining resilience, tackling climate, cyber, and financial fraud with cutting-edge data and algorithms, and reshaping how risk is owned and governed across enterprises. ABOUT THE HOST Sabine VanderLinden is a corporate strategist turned entrepreneur and the CEO of Alchemy Crew Ventures. She leads venture-client labs that help Fortune 500 companies adopt and scale cutting-edge technologies from global tech ventures. A builder of accelerators, investor, and co-editor of the bestseller The INSURTECH Book, Sabine is known for asking the uncomfortable questions—about AI governance, risk, and trust. On Scouting for Growth, she decodes how real growth happens—where capital, collaboration, and courage meet. If this episode sparked your thinking, follow Sabine VanderLinden on LinkedIn, Twitter, and Instagram for more insights. And if you're interested in sponsoring the podcast, reach out to the team at hello@alchemycrew.ventures
Today on the Salesforce Admins Podcast, we talk to Cheryl Feldman, Senior Director of Product Management at Salesforce. Join us as we chat about how Agentforce is reshaping the Setup experience. You should subscribe for the full episode, but here are a few takeaways from our conversation with Cheryl Feldman. From 1,300 pages to one […] The post The Future of Salesforce Setup Is Agent-Driven appeared first on Salesforce Admins.
The era of the simple AI wrapper is officially dead, and the entire software infrastructure layer is being completely rebuilt. Live from the Daytona COMPUTE Conference in San Francisco, Harrison Chase, co-founder and CEO of LangChain, joins the MAD Podcast to explain why this massive shift is happening. As agents evolve from simple prompt-based systems into software that can plan, use tools, write code, manage files, and remember things over time, the real frontier is shifting from the model itself to the stack around the model. In this conversation, we go deep under the hood of this new, post-cloud architecture to deconstruct harnesses, sub-agents, context compaction, observability, memory, and the critical need for secure compute sandboxes. For anyone building in AI today, this episode cuts through the noise to reveal the new infrastructure required to make autonomous agents work in the real world.(00:00) Intro - meet Harrison Chase(01:32) What changed in agents over the last year(03:57) Why coding agents are ahead(06:26) Do models commoditize the framework layer?(08:27) Harnesses, in plain English(10:11) Why system prompts matter so much(13:11) The upside — and downside — of subagents(15:31) Why a useful agent needs a filesystem(18:13) The core primitives of modern agents(19:12) Skills: the new primitive(20:19) What context compaction actually means(23:02) How memory works in agents(25:16) One mega-agent or many specialized agents?(27:46) Has MCP won?(29:38) Why agents need sandboxes(32:35) How sandboxes help with security(33:32) How Harrison Chase started LangChain(37:24) LangChain vs LangGraph vs Deep Agents(40:17) Why observability matters more for agents(41:48) Evals, no-code, and continuous improvement(44:41) What LangChain is building next(45:29) Where the real moat in AI lives
In this episode, I sit down with Darin Stubbs, a top-performing insurance agency owner and trainer, to hear the incredible story of how he made $400,000 in just one month selling life insurance. Darin breaks down the strategies, mindset, and habits that helped him achieve massive success — and how you can apply them to grow your own business.
Donald Trump je více než rok prezidentem Spojených států. Za tu dobu stačil podniknout útoky na teroristické Húsíje, útočící na dopravu v Rudém moři, asistoval u dvanáctidenního bombardování jaderných kapacit v Íránu, nechal unést venezuelského diktátora Madura a dnes zaútočil na Írán.S expertem na Spojené státy Martinem Weissem se pokoušíme odpovědět na to, jaká je zahraniční politika USA a čím se prezident Trump liší od neokonzervativců, snažících se intervenovat všude ve světě. Historik Timothy Snyder po jednání s Putinem řekl, že je to beránek v rouše vlčím. Platí to i po Venezuele a Íránu?Jaké je skutečné pozadí aféry Epstein a jak se realita zveřejněných dokumentů liší od někdejších konspiračních teorií? Zabýváme se také radikálními proudy v americké politice, ať už jde o MAGA nebo radikální levičáky typu kongresmanky Cortézové nebo newyorského starosty Mamdaniho. Jak se přihodilo, že tito lidé mají takový vliv v tradičních stranách?V poslední části rozebíráme zvláštní mediální fenomén podcasterů Tuckera Carlsona a Joea Rogana, které sledují desítky miliónů lidí. Je Carlson prázdná hlava a rozhodla prezidentské volby neúčast Kamaly Harrisové u Rogana? Analytik Weiss si myslí, že ano.
我們從人工智能的代理人Agent可以幫我們收集材料、計畫,甚至做一切,思考這時候我們才需要找回我們做人的意義和價值。…今天我們在神聖的生命裡長進,十字架的對付,一面是我們一生之久要學的功課,另一面我們不要停留在滿意自己為了神說什麼、做什麼的情形,應該持續操練、學習,盼望在我們身上能夠給人發現我們是在基督裡,不是有憑自己行律法而有的義,乃是有因著信在基督裡而有的義,這是今天神盼望在我們身上看見的。 —————— 節目播出時間:每週二~四 上午九點 水深之處 Youtube首播:http://bit.ly/3EaXoJo 下午六點 可聽的耳 Podcast重播 主持人將以一片赤誠,直擊基督徒信仰的核心,也盼望能觸動您的內心。 留言告訴我你對這一集的想法:https://open.firstory.me/user/ckg8ru8t3iezl0875i4ivpbd8/comments 小額贊助支持本節目: https://open.firstory.me/join/luke54
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 Todd Kroupa A former firefighter turned top-producing real estate agent in Georgia. Todd explains his journey from a physically demanding fire department career to becoming a highly successful real estate broker, team leader, and luxury/equestrian property specialist. The conversation walks through: His transition from the fire service to real estate Opening and managing a 400‑agent office in Florida Relocating to Georgia and re-establishing his business How he advises both first-time homebuyers and experienced sellers Emotional decision-making in buying and selling Inspections, deal-breakers, and buyer/seller behavior Multi-generational housing trends post‑COVID Why real estate remains a wealth-building tool Advice for navigating neighborhoods, schools, and due diligence His eventual ranking as #1 single agent for Berkshire Hathaway in Georgia (2024–2025) Todd emphasizes integrity, long-term relationships, and guiding clients toward the right house — not just closing a deal. Purpose of the Interview The purpose of Todd Kroupa’s appearance is to: Share a motivational career-change story — moving from firefighter to top real estate agent. Educate listeners on the real estate process — including buying, selling, inspections, and market strategy. Give practical tips for first-time homebuyers, families, and multi-generational households. Promote best practices for choosing neighborhoods, navigating emotion in home buying, and avoiding pitfalls. Highlight Todd’s success and position him as a trusted resource for Georgia real estate clients. Key Takeaways 1. Career Transition & Motivation Todd became a firefighter in 1992, retired in 2014, and began real estate in 2002. Real estate appealed to him because it allowed him to continue helping people without the physical strain. He built and managed a 400-agent office before returning to working directly with clients — his true passion. 2. Balancing Firefighting and Real Estate He often worked both jobs full-time, with limited days off. Eventually, maintaining both became impossible: “I can’t do this anymore,” he told his wife. 3. Buyer Advice Buyers make decisions emotionally first, then logically. Within the first 3–5 minutes in a home, buyers often know if they like it. Lighting, paint color, home condition, and layout heavily influence emotional response. First-time buyers need extra guidance — like “teaching someone to drive for the first time.” 4. Seller Advice Selling isn’t just about market timing — presentation matters. Neutral paint colors and bright white lighting help increase buyer appeal. Every showing is won or lost in the first few minutes. 5. Inspections Matter — and Are Deal Breakers Top inspection walk‑aways: Mold Foundation issues Roof problemsTodd stresses that if a buyer is uncomfortable before closing, “you won’t be comfortable after you close.” 6. Emotion vs. Logic Many buyers get emotionally attached and ignore red flags. Todd’s rule: commissions should never drive decisions. 7. Multi-Generational Living Is Rising Driven by COVID, high child-care costs, rising home prices. Families are choosing: ADUs (Accessory Dwelling Units) “In-law suites” Larger family compounds 8. Real Estate as a Wealth Builder Unlike stock investments, real estate allows you to: Control, improve, alter, and live in the asset. Tax advantages like 1031 exchanges and mortgage deductions compound long-term value. 9. Don’t Buy the Most Expensive House in the Neighborhood Surrounding homes cap your resale value. You may have to wait years for nearby homes to “catch up.” 10. Neighborhood Due Diligence Realtors must avoid discrimination (Fair Housing Act). Buyers should: Visit neighborhoods at night and on weekends Speak with neighbors Review school ratings and county resources Notable Quotes (from the transcript) Career & Purpose “I love helping people. That’s why I became a fireman. Real estate was another way to help people.” “I wasn’t quite sure I wanted to manage long term… my heart was with clients.” Ethics & Commission “Commissions should never be above the people.” “If you’re focused on commissions, you need to pick a different industry.” Emotions in Home Buying “Buyers think they’re looking logically, but they’re looking emotionally first.” “Within the first 3–5 minutes, they already know if they like the home.” Inspections “If you’re not comfortable with the property now, you won’t be comfortable after you close.” Neighborhood Choice “Focus on the house, but look at the neighborhood — you can’t change your neighbors.” Wealth Building “With stocks you can’t control it, improve it, or live in it. With a home, you can.” Success & Determination “Someone told me when I moved to Georgia I wasn’t going to make it. Now I’m the number one salesperson in Georgia.” #SHMS #STRAW #BESTSupport 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 Todd Kroupa A former firefighter turned top-producing real estate agent in Georgia. Todd explains his journey from a physically demanding fire department career to becoming a highly successful real estate broker, team leader, and luxury/equestrian property specialist. The conversation walks through: His transition from the fire service to real estate Opening and managing a 400‑agent office in Florida Relocating to Georgia and re-establishing his business How he advises both first-time homebuyers and experienced sellers Emotional decision-making in buying and selling Inspections, deal-breakers, and buyer/seller behavior Multi-generational housing trends post‑COVID Why real estate remains a wealth-building tool Advice for navigating neighborhoods, schools, and due diligence His eventual ranking as #1 single agent for Berkshire Hathaway in Georgia (2024–2025) Todd emphasizes integrity, long-term relationships, and guiding clients toward the right house — not just closing a deal. Purpose of the Interview The purpose of Todd Kroupa’s appearance is to: Share a motivational career-change story — moving from firefighter to top real estate agent. Educate listeners on the real estate process — including buying, selling, inspections, and market strategy. Give practical tips for first-time homebuyers, families, and multi-generational households. Promote best practices for choosing neighborhoods, navigating emotion in home buying, and avoiding pitfalls. Highlight Todd’s success and position him as a trusted resource for Georgia real estate clients. Key Takeaways 1. Career Transition & Motivation Todd became a firefighter in 1992, retired in 2014, and began real estate in 2002. Real estate appealed to him because it allowed him to continue helping people without the physical strain. He built and managed a 400-agent office before returning to working directly with clients — his true passion. 2. Balancing Firefighting and Real Estate He often worked both jobs full-time, with limited days off. Eventually, maintaining both became impossible: “I can’t do this anymore,” he told his wife. 3. Buyer Advice Buyers make decisions emotionally first, then logically. Within the first 3–5 minutes in a home, buyers often know if they like it. Lighting, paint color, home condition, and layout heavily influence emotional response. First-time buyers need extra guidance — like “teaching someone to drive for the first time.” 4. Seller Advice Selling isn’t just about market timing — presentation matters. Neutral paint colors and bright white lighting help increase buyer appeal. Every showing is won or lost in the first few minutes. 5. Inspections Matter — and Are Deal Breakers Top inspection walk‑aways: Mold Foundation issues Roof problemsTodd stresses that if a buyer is uncomfortable before closing, “you won’t be comfortable after you close.” 6. Emotion vs. Logic Many buyers get emotionally attached and ignore red flags. Todd’s rule: commissions should never drive decisions. 7. Multi-Generational Living Is Rising Driven by COVID, high child-care costs, rising home prices. Families are choosing: ADUs (Accessory Dwelling Units) “In-law suites” Larger family compounds 8. Real Estate as a Wealth Builder Unlike stock investments, real estate allows you to: Control, improve, alter, and live in the asset. Tax advantages like 1031 exchanges and mortgage deductions compound long-term value. 9. Don’t Buy the Most Expensive House in the Neighborhood Surrounding homes cap your resale value. You may have to wait years for nearby homes to “catch up.” 10. Neighborhood Due Diligence Realtors must avoid discrimination (Fair Housing Act). Buyers should: Visit neighborhoods at night and on weekends Speak with neighbors Review school ratings and county resources Notable Quotes (from the transcript) Career & Purpose “I love helping people. That’s why I became a fireman. Real estate was another way to help people.” “I wasn’t quite sure I wanted to manage long term… my heart was with clients.” Ethics & Commission “Commissions should never be above the people.” “If you’re focused on commissions, you need to pick a different industry.” Emotions in Home Buying “Buyers think they’re looking logically, but they’re looking emotionally first.” “Within the first 3–5 minutes, they already know if they like the home.” Inspections “If you’re not comfortable with the property now, you won’t be comfortable after you close.” Neighborhood Choice “Focus on the house, but look at the neighborhood — you can’t change your neighbors.” Wealth Building “With stocks you can’t control it, improve it, or live in it. With a home, you can.” Success & Determination “Someone told me when I moved to Georgia I wasn’t going to make it. Now I’m the number one salesperson in Georgia.” #SHMS #STRAW #BESTSee omnystudio.com/listener for privacy information.
Keeping it Real Podcast • Chicago REALTORS ® • Interviews With Real Estate Brokers and Agents
Darwin Stephens shares how he transitioned from a secure Fortune 10 leadership role in corporate America into full-time luxury real estate after the COVID-19 pandemic reshaped his original business plans. He discusses building the federally trademarked Selling Dallas brand and establishing authority in the Dallas luxury market through extensive media exposure and a consultative approach tailored to high-net-worth and C-suite clients. Darwin also explains how technology like Metaology's hyper-real visualization tools is transforming real estate development by allowing investors and developers to experience projects before they're built. As a triple-licensed professional and CEO/broker of the Raddr Group, he focuses on helping clients maximize their real estate portfolios. He also previews his upcoming podcast exploring the evolving idea of the American Dream and new paths to wealth, retirement, and housing in today's economy. If you'd prefer to watch this interview, click here to view on YouTube! Darwin Stephens can be reached at (469) 756-3221 and closewithdarwin@gmail.com This episode is brought to you by Real Geeks and Courted.io.
As ChatGPT pulls back on native in-app checkout, malls becomemainstream again. Is agentic commerce ready for primetime, or are consumers seeking more analog experiences? PLUS: Dick's Sporting Goods' loyalty loop that turns steps into spending power, and a dystopian new platform that rents out humans for AI agents that can't operate in the physical world. Everything old is new again. Granny's Favorite Store Goes to TikTok Shop Key takeaways: ChatGPT is stepping back from native in-app checkout, but the commerce protocol it built with Stripe lives on 77% of shoppers prefer clicking through to a website over buying directly via AI The mall remains a societal favorite third space, even as stores become shoppable content studios (just ask John Lewis) Dick's Sporting Goods' movement-linked rewards program is quietly building one of retail's stickiest loyalty ecosystems, making it a viable competitor to AI apps "Rent-a-Human" platforms signal a strange new frontier: AI agents outsourcing tasks to people in “meatspace” In-Show Mentions: How 2,000 consumers used AI to shop Gen Z Is Going to the Mall Again — WSJ Rent-a-Human Join us at Shoptalk Spring 2026! Associated Links: Check out Future Commerce on YouTube Check out Future Commerce Plus for exclusive content and save on merch and print Subscribe to Insiders and The Senses to read more about what we are witnessing in the commerce world Listen to our other episodes of Future Commerce Have any questions or comments about the show? Let us know on futurecommerce.com, or reach out to us on Twitter, Facebook, Instagram, or LinkedIn. We love hearing from our listeners! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
What does real estate actually look like without an MLS? In this episode, James Dwiggins and Keith Robinson sit down with Todd Cutter, broker-owner of 2Costa Rica Real Estate, to explore how real estate works in a country where agents operate without centralized listing data, standardized addresses, or a shared marketplace. Todd shares what it's like building a successful brokerage in Costa Rica, how agents collaborate without a traditional MLS, and why reliable data and cooperation matter more than most agents realize. The conversation also dives into international buyers, second-home markets, and the lifestyle shifts driving more Americans to consider Costa Rica. If you want to understand what real estate might look like without an MLS and why that matters, this episode is for you. Connect with Todd on LinkedIn. Check out 2Costa Rica Real Estate on Instagram and 2costaricarealestate.com. Is your real estate business building equity or just paying the bills? At FirstTeam® Real Estate, Behind the Agent™ means putting real ownership in your hands. This isn't about stacking commissions, it's about building something that lasts. You stay the face of your brand. We bring the strategy, marketing, leadership, and infrastructure to scale it. No franchise caps. No growth ceilings. Just the freedom to run your business like a business. We're not building a roster. We're building real careers. Break the glass ceiling. Own your future. Explore agent ownership opportunities at: https://firstteam.com/inman Stay ahead of the market with insights from Zillow's Consumer Trends Report. This annual research breaks down what buyers and sellers are actually doing — and what they expect from their agents. With 55% of buyers being repeat buyers, yet only 13% using their previous agent again, the message is clear: past performance doesn't guarantee future loyalty. Even more telling, nearly half of buyers and over half of sellers hire the first agent they contact. Today's clients prioritize pricing strategy, negotiation expertise, and a seamless, organized offer process. If you want to position yourself as the agent they choose in 2026, start with the data. Explore the full report and put these insights to work in your business. https://bit.ly/4rDZg3M Subscribe to Real Estate Insiders Unfiltered on YouTube! https://www.youtube.com/@RealEstateInsidersUnfiltered?sub_confirmation=1 To learn more about becoming a sponsor of the show, send us an email: jessica@inman.com You asked for it. We delivered. Check out our new merch! https://merch.realestateinsidersunfiltered.com/ Follow Real Estate Insiders Unfiltered Podcast on Instagram - YouTube, Facebook - TikTok. Visit us online at realestateinsidersunfiltered.com. Link to Facebook Page: https://www.facebook.com/RealEstateInsidersUnfiltered Link to Instagram Page: https://www.instagram.com/realestateinsiderspod/ Link to YouTube Page: https://www.youtube.com/@RealEstateInsidersUnfiltered Link to TikTok Page: https://www.tiktok.com/@realestateinsiderspod Link to website: https://realestateinsidersunfiltered.com This podcast is produced by Two Brothers Creative. https://twobrotherscreative.com/contact/
Episode SummaryIn this episode of the AI Builders Roundtable, the builders cross a line.Instead of just discussing AI-native companies, they use one - Polsia AI - to start new businesses live on the show.Neal, Craig, and Greg spin up real ventures, fund them, and watch agents begin executing tasks in real time. MVPs get scoped. Outreach campaigns get drafted. Websites get built. Autonomous execution starts.What begins as a demo turns into a deeper conversation about ownership, liability, trust, agent-to-agent commerce, and what happens when company creation becomes a commodity.This isn't a thought experiment. It's builders testing the edge.Key Topics* Launching AI-native companies live with Polsia AI* Funding autonomous agents to build and operate startups* When execution collapses toward zero* Agent-run outreach, marketing, and MVP development* Who holds liability when agents transact autonomously* Micro-venture economics and short business life cycles* Building for agents, not just humans* Why emotional trust may become more valuable in an autonomous worldLinks & Resources* Polsia AIConnect on LinkedIn* Neal Bloom* Craig Lauer* Greg Moser This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit risingtidepartners.substack.com/subscribe
Plus: Nvidia invests in Mira Murati's Thinking Machines Lab. And Airbnb hires former Uber executive as new operations chief. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices
If you're a software engineer right now, you likely feel like your world is changing overnight. We are writing half or less the amount of code that we wrote even a year ago, which represents a seismic, groundbreaking shift in our industry. However, the rapid introduction of new tools can slide quickly from exciting to purely chaotic, leaving you feeling like you are falling behind. In today's episode, I explore how this changes the nature of our day-to-day work, and why the key to surviving this transition is shifting your mindset from a traditional "Software Engineer" to an "Agent Manager". The Illusion of Velocity vs. Actual Chaos: While the big-picture promise of AI is that the software development pipeline will move exponentially faster, the reality on the ground often feels like unadulterated chaos. Trying to adopt every new tool while spinning up multiple agents to work on parallel tickets introduces a massive new cognitive burden. The Context-Switching Trap: Understand why parallelizing agent workflows fundamentally changes your context-switching overhead. You are no longer just reloading context to build something yourself; you are reloading it to manage, review, and validate a building agent, which rapidly drains your cognitive ability and leads to burnout. The "Agent Manager" Mindset: Treating AI as just a "smart autocomplete" while you try to do the same old job will not work. You need to start viewing your role more like assembly line or process management, focusing on facilitating the system rather than typing every line of syntax. Adopt Old-School Quality Control Tactics: Discover how traditional management methods are becoming essential for individual contributors. Just like a factory manager doesn't inspect every single item off the line, you must develop methods for spot checks, anomaly detection, and standardizing outputs to evaluate the quality and quantity of your agents' work. Shift Your Work Upfront: Recognize that your core effort must move to the specification and planning phases. Your job is increasingly about setting the context, defining the prompt, and establishing strict guardrails before the agent begins its work. Redefining Your Work in Progress (WIP): Proven principles like limiting WIP and focusing on finishing rather than starting are more important than ever to reduce cognitive burden. However, you must adapt these principles to fit a workflow where you are managing processes rather than manually coding. Episode Homework: Take a step back and ask yourself: "What is my true work in progress? Am I actually manually doing these tickets, or am I managing the processes that produce quality ticket work?".
A structural shift is occurring in the managed IT services landscape as AI capabilities are rapidly embedded across enterprise applications, with oversight and risk management functions increasingly separated out and monetized as add-on services. Vendors, including Microsoft and OpenAI, are deploying AI agents in essential tools such as Outlook, Teams, and Excel, then selling governance, security, and compliance capabilities as additional paid layers. The core mechanism is the transfer of operational and liability risk downstream to IT service providers and their clients, while ownership of the control plane and margin on risk mitigation remain with the vendors. The episode highlights consequential findings regarding AI reliability and adoption. A Nature Medicine study found that OpenAI's ChatGPT Health underestimated emergency severity in 51.6% of cases, prompting concerns about overreliance on AI for critical decisions. Additionally, Confluent's UK executive survey indicated that 62% of organizations are already shifting decision-making to AI, but only 7% have a company-wide AI strategy, and fewer than half of executives and employees agree on actual daily AI usage. Most leaders receive little formal AI training yet are second-guessing their own judgment in favor of AI output. Further reinforcing the governance gap, Microsoft is launching Agent 365 and new enterprise security tiers, while OpenAI's acquisition of Promptfoo signals a focus on AI reliability testing and compliance monitoring. Funding for GRC platforms like IntelliGRC demonstrates capital flowing into third-party oversight solutions. The recurring pattern is vendors first pushing broad agent adoption, then introducing and monetizing governance as a discrete add-on, often outside the default package. Operationally, MSPs and IT leaders face increased liability exposure if they rely on vendor-native governance without independent audit or measurement capability. The absence of industry-standard reliability metrics for AI, combined with the perception and usage gaps inside organizations, calls for MSPs to lead in auditing, documenting, and independently measuring AI usage and performance. Failing to proactively manage these controls can result in silent risk absorption and unfavorable positioning as vendors bundle compliance and pass residual risk downstream to service providers. Three things to know today 00:00 AI vs. Judgment 02:35 Agents vs. Oversight 04:04 AI Reliability Gap 05:15 Why Do We Care? Supported by: ScalePad
Menlo Ventures' Venky Ganesan talks with TITV Host Akash Pasricha about Nvidia's Vera Rubin chip deal and investment into Thinking Machines Lab. We also talk with The Information's Aaron Holmes about Microsoft's new Office + Copilot bundle and its antitrust risks and Finance Editor Ken Brown about Amazon's $42 billion bond sale to fund AI infrastructure. Then we get into Tencent's WeChat AI agents with Juro Osawa and Jing Yang, and the vibe coding paradigm shift with South Park Commons GP Aditya Agarwal.Articles discussed on this episode: https://www.theinformation.com/articles/tencent-joins-chinas-ai-agent-race-top-secret-wechat-projecthttps://www.theinformation.com/articles/org-chart-microsoft-legal-staff-girding-cloud-bundling-suitshttps://www.theinformation.com/newsletters/applied-ai/microsoft-doubles-seat-based-pricing-aihttps://www.theinformation.com/briefings/amazon-raising-42-billion-bondsSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/
AI isn't the future — it's the present. In this episode, Rajeev Sajja, Chief AI Officer at BrightMLS, reveals that 61% of consumers are already using AI to evaluate agents — and nearly all of them find it helpful. He breaks down exactly how agents can show up in AI search by optimizing their bio, reviews, and content for Generative Engine Optimization (GEO). You'll also learn practical use cases for AI in listing prep, marketing, and data analysis — plus a simple 30-day challenge to build real AI skill fast. If you're not adapting to AI, you're falling behind.
The AI Breakdown: Daily Artificial Intelligence News and Discussions
Andrej Karpathy released autoresearch this weekend — a system where an AI agent runs experiments to improve a language model overnight, keeping what works and discarding what doesn't, while the human sleeps. The project itself is fascinating, but what's more interesting is what it shares with the Ralph Wiggum coding loop pattern and a broader shift happening across domains — from software to sales to finance — where the human's job becomes writing the strategy document and defining "better," and the agent does the iterating.Brought to you by:KPMG – Agentic AI is powering a potential $3 trillion productivity shift, and KPMG's new paper, Agentic AI Untangled, gives leaders a clear framework to decide whether to build, buy, or borrow—download it at www.kpmg.us/NavigateMercury - Modern banking for business and now personal accounts. Learn more at https://mercury.com/personal-bankingRackspace Technology - Build, test and scale intelligent workloads faster with Rackspace AI Launchpad - http://rackspace.com/ailaunchpadBlitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/Optimizely Agents in Action - Join the virtual event (with me!) free March 4 - https://www.optimizely.com/insights/agents-in-action/AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/briefLandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/The Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Our Newsletter is BACK: https://aidailybrief.beehiiv.com/Interested in sponsoring the show? sponsors@aidailybrief.ai
Hidden Killers With Tony Brueski | True Crime News & Commentary
"Definitely closer." That's what Sheriff Nanos told the Today show. "Red hot." That's what retired FBI Special Agent Jennifer Coffindaffer told Newsweek. Both phrases sound like momentum. But inside an FBI investigation, those words carry a specific weight — and a specific limit.Coffindaffer spent years inside the Bureau. She knows the difference between an investigation generating activity and one generating resolution. In this conversation, she pulls apart the language being used publicly in the Nancy Guthrie case and explains what it actually reflects — and what it doesn't guarantee.The FBI's command center has relocated from Tucson to Phoenix. The task force has narrowed from hundreds of agents to a focused unit. Annie Guthrie's vehicle has been returned to the family after weeks in evidence custody. Each of those moves means something specific in investigative terms — and Coffindaffer walks through all of it.She also addresses the resource standoff directly: the United Cajun Navy submitted a 41-page operational plan — thermal drones, 25 canines, coordinated desert grid sweeps. The Sheriff hasn't approved it. Coffindaffer explains the law enforcement reasoning behind that decision — and whether that reasoning still holds the longer this case goes without an arrest.At 33 days, the family is still waiting. Here is the most candid assessment of where this investigation stands from someone who has lived the inside of cases exactly like this one.Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1Instagram https://www.instagram.com/hiddenkillerspod/Facebook https://www.facebook.com/hiddenkillerspod/Tik-Tok https://www.tiktok.com/@hiddenkillerspodX Twitter https://x.com/TrueCrimePodThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.#NancyGuthrie #SavannahGuthrie #MissingPersons #FBIInvestigation #ArizonaMissingPerson #TrueCrime #JenniferCoffindaffer #PimaCountySheriff #HiddenKillers #KidnappingCase
Fearless Agent Coach & Founder Bob Loeffler shares his insights on Pricing Awarenesses and how they're making his Fearless Agent Coaching Students rich! Fearless Agent Coaching is the Highest Results Producing Real Estate Sales Training and Coaching Program in the Industry and we can prove it will work for you if it's a good fit! Call us today at 480-385-8810 to see if it may be  good fit for you! Telephone Prospecting for Realtors means Cold Calling, Door knocking, Calling for Sale By Owners, Calling Expired Listings, Calling your Sphere of Influence, Farming, Holding Open Houses, but Fearless Agent Coaching Students di all of these completely differently and get massively better results! Find out how! Listen in each week as Bob gives an overview and explains the big ideas behind making big money as a Fearless Agent! If you are earning less selling real estate than you wish you were, and you're open to the idea of having some help, We are here for you! You will never again be in a money making situation with a Buyer, Seller or Investor and not have the right words! You will be very confident! You will be a Fearless Agent! Call Bob anytime for more information about Fearless Agent Coaching for Agents, Fearless Agent Recruiting Training for Broker/Owners, or hiring Bob as a Speaker for your next Event! Call today 480-385-8810 - or go to https://fearlessagent.com Telephone Prospecting for Realtors means Cold Calling, Door knocking, Calling for Sale By Owners, Calling Expired Listings, Calling your Sphere of Influence, Farming, Holding Open Houses, Spin Selling, but Fearless Agent Coaching Students do all of these completely differently and get massively better results! Find out how! Are You an Owner of a Real Estate Company - need help Recruiting Producing Agents - Call today! 480-385-8810 and go to FearlessAgentRecruiting.com and watch our Recruiting Video Real Estate Coaching training Real estate training real estate coaching real estate speaker real estate coach real estate sales sales training realtor realtor training realtor coach realtor coaching realtor sales coaching realtor recruiting real estate agent real estate broker realtor prospecting real estate prospecting prospecting for listings calling expired listings calling for sale by owners realtor success Best Realtor Coach Best Real Estate Coach Spin SellingSupport the show: https://fearlessagent.comSee omnystudio.com/listener for privacy information.
Fashion and beauty instagrammer talks about how she attracts clients to her travel business and discusses a great familiarisation trip to Cancun. Monday, 9th March, 2026
Tous les dimanches à minuit, Daniel Riolo propose une heure de show en direct avec Moundir Zoughari pour les passionnés de poker. Conseils d'un joueur professionnel, actualité, tournois... Votre rendez-vous poker, sur RMC !
Blue Alpine Cast - Kryptowährung, News und Analysen (Bitcoin, Ethereum und co)
The AI Breakdown: Daily Artificial Intelligence News and Discussions
OpenClaw has now been in the wild for a little over a month, and builders are starting to converge on what actually works. The early experiments are revealing that agent systems can be incredibly powerful but require deliberate design choices around task separation, coordination, security, memory, and cost management. This episode breaks down ten practical lessons emerging from the first wave of OpenClaw users, from structuring agent teams and using simple file-based orchestration to treating agents as first-class employees and designing explicit memory systems.Brought to you by:KPMG – Agentic AI is powering a potential $3 trillion productivity shift, and KPMG's new paper, Agentic AI Untangled, gives leaders a clear framework to decide whether to build, buy, or borrow—download it at www.kpmg.us/NavigateMercury - Modern banking for business and now personal accounts. Learn more at https://mercury.com/personal-bankingRackspace Technology - Build, test and scale intelligent workloads faster with Rackspace AI Launchpad - http://rackspace.com/ailaunchpadBlitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/Optimizely Agents in Action - Join the virtual event (with me!) free March 4 - https://www.optimizely.com/insights/agents-in-action/AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/briefLandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/The Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Our Newsletter is BACK: https://aidailybrief.beehiiv.com/Interested in sponsoring the show? sponsors@aidailybrief.ai
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Description Stop experimenting with AI and start driving ROI. Subscribe to our Newsletter:https://theultimatepartner.com/ebook-subscribe/ Check Out UPX:https://theultimatepartner.com/experience/ In this keynote from the Ultimate Partners Winter Retreat, Nina Harding breaks down the massive shift happening in the AI landscape as customers move away from experimental pilots and demand concrete ROI and business outcomes. She emphasizes that the era of selling products and time-and-materials approaches is over, replaced by outcome-based, verticalized selling where vendors and partners share accountability. Through real-world examples in healthcare and retail, Harding outlines how partners can leverage Copilot Studio, Agent 365, and Microsoft’s incentive programs to build specific superpowers, differentiate themselves, and ultimately lead the AI mission alongside Microsoft. Key Takeaways Customers are no longer interested in AI experimentation and now expect immediate, concrete return on investment. Selling products is dead; the modern approach requires a consultative, signal-based strategy focused entirely on business outcomes. The traditional time-and-materials billing model is disappearing as clients demand shared accountability for project success. Rapid proliferation of AI agents has made security and governance top priorities for enterprise customers. Success in the Microsoft ecosystem now requires partners to highly verticalize their value propositions by industry. Defining and clearly articulating your unique “superpower” or niche is essential to stand out to the Microsoft field sales organization. https://www.youtube.com/watch?v=HJJ4Zcf4tZc&t=1920s If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags Nina Harding, Microsoft AI, artificial intelligence ROI, AI agents, Agent 365, Copilot Studio, outcome-based selling, verticalization, healthcare AI, retail AI, Cognizant, Davos 2026, AI governance, AI security, technology transformation, Ultimate Partner Live, enterprise AI adoption, digital transformation, system integrators, AI pilots Transcript [00:00:00] Nina Harding: More importantly, we want to serve more and more people faster, and AI is coming in and having a very practical approach in healthcare alone. [00:00:14] Vince Menzione: We just finished Ultimate Partners Winter Retreat here in beautiful Boca to a sold out [00:00:19] Vince Menzione: crowd. Come join me now for a compelling discussion on the impacts of the tectonic shifts we’re all seeing. [00:00:27] Vince Menzione: I feel incredibly fortunate, uh, to have this, this, this friend Nina who came into the studio here for the first time, actually earlier, well last year, geez, earlier this year. [00:00:38] Vince Menzione: It was last year, right after my accident I think. And, uh, we gotta spend some time together. And she was so good to, uh, make her time available and her team’s time available to come down here to be with us today. Ne I’m so thrilled to have you. I am going to turn over the stage to you. Uh, you’ve got some incredible learnings. [00:00:57] Vince Menzione: I know you’ve been on the AI tour with Microsoft. Yeah. And you’ve got some great learnings you’re gonna share about what’s happening. Absolutely. So it’s so great to have you. [00:01:05] Vince Menzione: It’s nice to see you. [00:01:06] Nina Harding: Nice to see you. [00:01:07] Nina Harding: Thank you. Well, thanks everyone. It’s great to see so many familiar faces and then some new faces as well. [00:01:15] Nina Harding: Um, because we’re in a little bit more of an intimate environment, I thought I would approach this a little bit differently. Give you some better insights into what we’re actually hearing at Microsoft with our customers, some of the things that are actually moving the needle that we’re seeing some of our partners do. [00:01:34] Nina Harding: So really to share some of the best practices out there, and hopefully you’ll leave with some more insight or tips and tricks, um, is really what I would love to do because our job. Collectively is really this transformation and to take a advantage of it out there in the market right now. [00:01:57] Nina Harding: Let’s see [00:01:57] Nina Harding: here. [00:01:59] Nina Harding: I can move slides. Well, this one isn’t moving. Any slides? [00:02:07] Nina Harding: No. Okay, great. So, um, some of you might. Uh, know that I’m a Floridian now, right? So I just live right up, up the way in Palm Beach. Um, so not too far, but I still wouldn’t miss this opportunity to be with all of you. Um, there is an energy that I think that we’re all feeling right now, and, uh, it’s, it’s palpable. [00:02:32] Nina Harding: We’re finding right now that our customers are really going from this landscape of experimenting with ai. Really to looking at the outcomes and having expectations around the momentum that they’re seeing. Right. That’s a big shift, right? We, and things are going pretty quickly, so I look at things almost quarterly now on what is that core message and what are, what is the difference in the tone from our customers of what they’re expecting? [00:03:06] Nina Harding: What we’re gonna talk a little bit about today is how all of you, our partners, are such a critical part of that journey. Actually, sometimes the most important part. You’re on the front lines with the customers. You’re the ones having those conversations. You’re the ones that are in there arm to arm with their teams, listening to what they’re experiencing, their challenges that they’re facing, and they’re really wanting now to go from this world of, Hey, we have lots of different pilots. [00:03:41] Nina Harding: Right? A lot of us know that right into, oh my gosh, it’s not about pilots anymore. They really want that ROI story. They want those outcomes and it’s looking very different for all of us. The way that we sell, the way that we go into our engagements, the way that we even price things, the way that we, meaning Microsoft partner and customer are locking arms is fundamentally very different. [00:04:15] Nina Harding: We have to go in collectively. We have to also be responsible for the outcomes and deliver on those. ROI is that headline that we’re all after. Right. It is the most important part of the puzzle right now because there isn’t a single boardroom that isn’t talking about AI and you guys are all experiencing it. [00:04:39] Nina Harding: It’s easier than ever to go in and have the conversation. The hardest part is how do we quickly get to an ROI study, so you or ROI case so that we can continue to build on that. And when you’re looking at this every. Customer is providing signals out there to help you grow that penetration into the account. [00:05:04] Nina Harding: And I’m gonna share some of the signals that I think that are really meaningful. But that’s the most important thing is we’re no longer, and I know you guys all know this, we’re no longer selling product at all anymore. We’re selling those outcomes. And I can tell you at Microsoft, we’re spending a tremendous amount of time retraining all of our sales reps. [00:05:25] Nina Harding: Really to be focused on how do you listen and do that consultative signal based sale. How do you actually go in and start selling, not selling, but I mean it is selling, but listening to the journey that they want to go through. What are the challenges that they’re facing and what’s the transformation that we’re able to kind of go and be a part of together with our partners? [00:05:54] Nina Harding: Notice it’s not about product. Product is just the tools in your tool chest to create those outcomes. So that’s gonna be really important as we go through this journey. [00:06:09] Nina Harding: Uh, so I saw the, the title of the session, uh, mentioned Davos and Davos was an interesting time. Uh, Microsoft has a very, actually, a very big presence at Davos and, uh, we had over 300 customer meetings there, uh, where we were meeting with some of the top companies around the globe. And it was very much affirmed that. [00:06:34] Nina Harding: Uh, the, the concept of AI we’re past, like curiosity stage, right? We’re way past that and we’re even past that. The art of the possible discussion, right? Uh, what the, the customers are almost at the point is, is come in and tell me, tell me what to do. Show me how to do it. It’s a very different position than, Hey, we’re presenting you with all these different possibilities. [00:07:08] Nina Harding: They’re They’re tired. They’re tired of all the possibilities. They wanna get to the brass tacks of how are you gonna change my customer service department? How are you gonna make it easier for my hr? How am I going to derive growth? What are some of the other things that you guys are experiencing out there? [00:07:23] Nina Harding: Like what are some of those other ROI drivers that people are asking, where am I gonna find the money? What for? For doing the project or out of the project? Other people? I Okay. To do the project. Okay. Resourcing. Okay. So what we’re seeing here is that, uh, the conversation is very much now focused on, okay, I need sec, I need security. [00:07:50] Nina Harding: That has been louder than ever before. So, Vince, the one thing I would say about that slide where you had those five different pillars, I’d put security on the bottom. Understanding your data, your data platform on the bottom, those are consistent across all those pillars. And then you can kind of hit at them. [00:08:10] Nina Harding: But, uh, there’s a lot of energy, there’s a lot of excitement, but it’s rooted in what are you materially going to do to change my business, and is your skin in the game to help me do it and I’ll pay you for that outcome? The concept of this time and materials approach gone. Gone. Even at Microsoft, we’re adjusting to the fact that the customers aren’t like, oh. [00:08:35] Nina Harding: Just hand it over to a system integrator and they’ll deliver on it. They’re like, oh no, we want you accountable too. You’re accountable for the outcomes as well, which is, oh gosh, okay. How do we do that in a partnery model that makes sense where we’re not tripping over each other, but we’re going in stronger together. [00:08:54] Nina Harding: We have one message together and we’re really focused on driving that. They’re also really concerned around the governance of all these agents, right? I see a lot of heads shaking on this. I mean, there’s a lot of proliferation right now. There’s a lot of excitement. I mean, I don’t know in your companies, but people are building agents faster and quicker, uh, than ever before, and some of them are really, really cool and they’re making huge point savings of times. [00:09:22] Nina Harding: Everything from. You know, some of you guys have probably heard me talk about everything from, uh, working on performance reviews to what are all of the incentives that we have for partners and making that easy to understand to, uh, to helping me understand patterns in our financials and what partners are really performing and growing. [00:09:45] Nina Harding: All of these agents are just popping up everywhere, but that creates a real governance issue and a real security issue for a lot of companies as well. So you take all of this and you hear this momentum and I think, uh, that together we’re really well poised. I think Microsoft is in a unique position together with you. [00:10:07] Nina Harding: On this frame, we have Agent 365, which helps you manage all these different agents, right? So that’s an exciting. How many of you’re familiar with agents? 365. Great. And I promise I’m not a product person. I’m not gonna do a lot of pitches, so don’t worry about that, um, at all. But, uh, we also have copilot studio and foundry, and so we have this whole, uh, set of capability, but that capability only comes to life if we’re able to connect with the customer, build the outcome, and making sure that the CEOs see all of us as their partners on that strategy and journey. [00:10:47] Nina Harding: So what does that look like? So I talked a little bit about signals, and signals, is that ability to listen to the, to the customers, what’s really, really me, uh, meaningful and frontier firms are doing this on a consistent basis all the time. Listening to the specific needs use cases, et cetera. So we at Microsoft have been trying to not only share all these different use cases that we have exposure to, but in addition. [00:11:17] Nina Harding: We turned on functionality, and I’ll talk about that in a little bit so that we can also share amongst each other as a community and understand those use cases. Uh, what’s really important is that, um, we’re moving from this world of all these like little one-off projects to a strategy and a platform that everyone wants to move to, but it’s all also getting powered by agents. [00:11:42] Nina Harding: That’s, that’s where we are today. So. [00:11:49] Nina Harding: Having a little trouble. I’m not gonna go through this too. Everyone’s familiar with this in, in here, the Frontier overview. If you’re not, let me know. Um, but basically one of the things that we find is really helpful is, is just sharing where we have seen proof behind having the conversation around the AI journey. [00:12:12] Nina Harding: Around the, the customer journey as you’re going out there. Um, there are really four different areas that we’ve talked about, and I’m not going to drain this ’cause there’s lots and you can, you can, uh, go onto the internet. You can see me talking about all these different areas. I don’t wanna spend too much time here, but these are four of the different. [00:12:33] Nina Harding: I would say categories where when you’re looking at different ways that you can make a material difference with the, the, the customer that we find the most momentum. So around enriching employee experiences, changing the way we, uh, engage with customers. Uh, changing processes as well. And then, uh, the outcomes, like really transforming the way we go about business. [00:12:59] Nina Harding: And we wanna do something about bringing it in to the flow of the work, everyday work. How many of you are finding that you’re actually using agents in your day-to-day workflow? Isn’t that cool? And then as you continue to use it, it becomes easier and easier and easier. And. I know from my team, I’m starting to look at what is the e everyday usage versus the monthly usage, right? [00:13:26] Nina Harding: It’s the every day. It’s become almost, uh, your second hand. And what’s important, uh, on this is that we’re giving, uh, listening to all these signals giving, um, the consistency, um, of the, the engagement with. With the clients, we’re able to all share the same stories and be able to scale at a much faster pace. [00:13:54] Nina Harding: So what does that look like? Here we go. Um, one of the things that we talk about at Microsoft, and the reason why I have this up here is that we’ve moved the conversation away from product into these customer outcomes, which really becomes about. Industry discussion. You have to speak their voice. You have to understand their business problems. [00:14:21] Nina Harding: You have to listen for what is materially different. So I’m actually sharing this, which you don’t normally see in a lot of presentations out to Microsoft about the structure of the organization, the takeaway. This is a sales organization in enterprise. The takeaway that I want you to have from that is look at the verticalization. [00:14:43] Nina Harding: We’ve done. It’s no longer by territory. The ball has moved, the conversation has moved entirely. So what does that say to all of you as well? Your value proposition as you’re working with our field has to be verticalized. The way you engage has to be verticalized. What you say, um, what the, the outcomes that you think differentiates yourself. [00:15:12] Nina Harding: Verticalized. So there isn’t the approach of like doing this like mask gorilla campaign across, for example, the Americas. And I’m just using this as an example on, um, the small and medium business side as well. Um, the, they’re a little bit more territory based still, but um, at least at the enterprise, everything has to be about customer value. [00:15:38] Nina Harding: Customer value. So, um, what this also suggests to me is the way we’re working and where we’ve seen a lot of success is when all of you are starting to tailor your messages and differentiate yourselves by customer success stories. Use cases where you’ve had premise, uh, penetration as a software partner, but you have to tie it back to the industry again. [00:16:05] Nina Harding: It’s just different. And so if I’m very transparent that that’s become, has gone from a nice to have to critical as the field is looking at, who are those go-to partners? It’s the go-to partners that speak retail. It’s the go-to partners that speak oil and gas and I don’t know, I, I, I see some nodding of heads. [00:16:27] Nina Harding: Some people know this, some people don’t. But I can see the shift tremendously over the last six months. So, um, hopefully that’s helpful in, in, in kind of sharing just how we’re walking the walk and talking the talk. So as I go back to industry, um, I thought what would be helpful is to take a few examples so you have a chance to see. [00:16:52] Nina Harding: In life, what are, what are we actually seeing at Microsoft? And if you guys are seeing something else, I would love to hear that too. But these, this is an example in healthcare and when we’re looking at, uh, a particular industry, we’re looking at what are some of the pain points? What are the top trends? [00:17:11] Nina Harding: What are some of the challenges folks are, are facing? And then what are the use cases that are really making traction here? This is a different way of taking that frontier vision and doing that click down by industry. And so what we’re also doing is we’re looking at who are partners that can help us in healthcare that can help answer some of these key challenges. [00:17:35] Nina Harding: Who are the ones that have the ability to have those material conversations in that trust? In healthcare, for example, there’s a ton of pressure. I mean. We all are consumers of healthcare. Hopefully we, all of us, have been lucky enough to have healthcare, um, in the, in this, uh, forum, but there’s a lot of clinician burnout, rising costs, right? [00:18:01] Nina Harding: The, the expense for, uh, medicines and so forth. But more importantly, we want to serve more and more people faster, and AI is coming in and having a very practical approach. Healthcare alone. So many of you, I talk about, um, the fact that at one point I was paralyzed, right? So I was paralyzed from T two down and, um, I go in every six months for an MRI, uh, to check, to check if everything’s still functioning. [00:18:32] Nina Harding: And the nervous system is going well. My doctor has had to manually look at that. Now he’s using AI to look at. History and the progression since 2008. That’s game changing. And on top of that, he is looking at me and having a conversation and looking in my eyes and observing me instead and using Dragon to have it feel epic to really think about how that’s changed my personal experience with the healthcare system and changed how a physician can show up. [00:19:09] Nina Harding: So there are many, many, um, many use cases around like patient access and, uh, innovation that we’re trying to do, surgeries, uh, being able to do clinical, clinical trials, but AI is everywhere and that’s what’s really important is that we’re figuring out for all of you what your software solution. Services offering, or even if you’re selling that, you have that value, value proposition down at that level. [00:19:43] Nina Harding: So let’s take a look at retail, for example. We have a short little video. Are we gonna be able to run that video? This is where we’re seeing a lot of shrinking. Margins, people wanting more, uh, intimacy with their customer. Here we go. [00:21:09] Nina Harding: Are we good? Well, that was a quite, uh, quite a nice, uh, uh, digital response to the end of the video. But what you’re seeing is people are using it in all different facets as we go into an example. I always love to do, use examples of partners that are hitting the mark ’cause we can all learn from ’em and myself included. [00:21:30] Nina Harding: We’re partners that are really successful. I chose to use Cognizant. Cognizant was actually our partner Si of the year, um, at the Americas level. And one of the things, and I won’t drain it on, um, the right hand side of this, uh, the slide, but they really are helping the customer’s move in a framework approach by industry, uh, to an AI landscape. [00:21:58] Nina Harding: Uh, they, they have secured an end-to-end solution and they’re focused on real business outcomes, and they have been growing at over 30% year over year. Huge. That’s great. Right? That’s what we all want for our businesses. And so what you’re seeing here is. They have a narrative around the frontier firms and they pull that through when they’re engaged in the clients and with our field. [00:22:27] Nina Harding: And then they’re using the incentives that we have. And don’t worry, I have a slide on some of the incentives we have, um, to actually make sure that they’re using those effectively in the pre-sales motion, but most importantly on the adoption and the change management after they’ve actually, uh, built out the solutions. [00:22:45] Nina Harding: And that’s really, really, really key here. So here’s an example of, um, of Cognizant at Coldwater Creek and Soft Surroundings. They had two different platforms and they brought it all together and then they brought Dynamics in as well. And what they have actually been able to do is improve a lot of the inventory management, the visualization, um, of all the inventory around. [00:23:14] Nina Harding: Around all of their stores and their warehouses, and they’ve been able to streamline the fulfillment and improved, uh, reduced back orders. What you’re seeing is those are all concrete examples of the outcomes that they were trying to drive for at the beginning, and those were all. Key pain points. And so they go in, cognizant will go in and understand with what are the material things that you are, that’s keeping you up at night, that is creating that drainage, uh, in your accounts or if you could transform, what does that look like? [00:23:52] Nina Harding: And so there, they spend the whole conversation together with Microsoft focused on doing that. And then we do the outcome based proposal. Very different, right? It creates for a much stronger vendor relationship, and the customer feels like they really have in the essence of the word partners, helping them to be successful. [00:24:15] Nina Harding: Right. [00:24:20] Nina Harding: Here we go. So I promised you some of the incentives, and I know you might just take a, a quick peek at some of these. These are, these are, um, some of the incentives that. Microsoft has put forward to help our partners on this journey. Uh, this is a slide that we’ve created from the America’s perspective to try and simplify it. [00:24:42] Nina Harding: Now there’s a lot behind it, right? But to try and help simplify, um, where are the incentives available? And I think this is one of the first times you’re actually saying what’s available for the sis. Versus for the software partners. And then we’re gonna hear more today about what’s also available for the channel partners as well. [00:25:03] Nina Harding: Um, it’s really thinking about what is your behavior as a partner? How are you showing up? How are, uh, you making a contribution to that customer? And then how can Microsoft best support you in that journey? So there’s all sorts of, uh, all sorts of incentives here, and it’s really, uh, designed to be flexible to what you need. [00:25:24] Nina Harding: But for the, I, I think it’s very focused on the value proposition as well that you bring to the table. So, um, I encourage you to take a look at this, make sure that you have this in your diary or your flipping of, of how are we maximizing, um, deals. And we can certainly go through a lot more of this. And we have webinars and so forth that will take you through all of that. [00:25:52] Nina Harding: Alright, so. I’ve talked a lot about this outcome-based selling, and that’s, it’s literally how Microsoft is starting to move forward on how do we go about engaging with the customers and with our partners. You’re gonna see, because our customers are asking more Microsoft involved and for us to go jointly into the opportunities. [00:26:16] Nina Harding: Not that we necessarily, we’re not building out a larger consulting force or anything like that, but. We want to make sure that the customer ask that Microsoft is engaged in working with our partners, is honored, um, and that we’re, we’re part of that, and that we’re also sharing our, our experiences and learning from all of you at the same time on who has the best, uh, approach, Beth best, best methodologies and best practices to light up our customers together. [00:26:51] Nina Harding: But the ROI doesn’t really show up just in dollars alone. We all know this, right? Um, it could be in, uh. Satisfaction it could be in care. So as you’re starting to look at this new evolution of how we’re really landing the value proposition of ai, we have to think outside of the box that it’s not just monetary and it’s not, I think you said savings or securing funds and so forth, but it’s really of how do I leapfrog into the modern world? [00:27:22] Nina Harding: How do I change that entire experience and think outside of the box? And, uh, make sure that the conversation is not just about how do we optimize certain practices, but how do we have this more executive level strategy conversation on the future of how we’re gonna engage with our clients, uh, their clients in a much more, um, I think transformative and personal [00:27:51] Nina Harding: way as we go forward. [00:27:54] Nina Harding: So we know that if the outcomes are the, what we’re looking to go drive, the next question is really how do we go do that? And that is gonna be through the agents on here. You’ll see just from from out in the market, what we see will light up the market. We think that, or I can’t even say we, IIDC says 81% of leaders are expecting agents. [00:28:24] Nina Harding: Full utilization in the next 12 to 18 months. And to be honest, I think this quote is probably even two months old. So we’re already, we’re probably down to like, you know, eight, eight to 12 months. And what I’m seeing that proliferation happening, it’s crazy. So understanding that value proposition, um, whether you’re from a software company or a services company or even some of our resellers, what’s that niche? [00:28:52] Nina Harding: What’s that industry or sub-industry? What is that? Horizontal. I go after customer service within, uh, the manufacturing vertical. Right. And then are you building out agents or do you have capability? And that’s what we’re doing internally at Microsoft as well, is to help make that really visible to the field so that you’re differentiated. [00:29:15] Nina Harding: Differentiation is gonna be really key right now because there’s so many people that say, oh, I do migration services, or I can help with data, or I can do security. But it’s the specificity around the industry and what you are truly known for within that space. So one of the things that we look to do is, is looking at all of the different areas where we see agents popping up. [00:29:44] Nina Harding: And this is a helpful slide. Sometimes I think, um, it starts to highlight, um, where we’re seeing some traction in financial services. Or in healthcare manufacturing. And then when I talk about the horizontals or the personas, you start to see some of the um, really repeatable, high return on investment type of things. [00:30:08] Nina Harding: Is this resonating with some of you guys? Yeah. I’m seeing a hit, a lot of head nods. This, if you’re on the services side, right? We’re in an intimate setting. This is where I encourage you to try and build an agent, right? Package that agent, put it on marketplace, make that available, and then make that known to our field sales organization. [00:30:27] Nina Harding: ’cause they are looking for quick wins along those lines. [00:30:31] Nina Harding: So on that, um, [00:30:36] Nina Harding: uh, one of the things that we’re along the journey for is the skilling. This is moving at such a fast pace, right? Um, so you’re looking at. Um, anthropic is really a big topic right now, right? Gemini, you’re looking at cloud, you’re, um, or Claude. [00:30:55] Nina Harding: Um, you’re looking at all of these different, uh, scenarios and one of the things at Microsoft is we really wanna be open to all of these different technologies because our customers are open. So we want to be part of taking you on that journey. And one of the things that we invest in white. [00:31:12] Nina Harding: Significantly is all of the training. Um, and I wanna encourage you guys to take advantage of it. Training is not a one-time thing. It is, it is a constant muscle that you must exercise. So as I come to my conclusion, I have a couple three key things, right? One is really understanding what your superpower is, right? [00:31:33] Nina Harding: The partners that I’m finding are really aligned well with the field are really winning. Those stories are the ones that have. Know and can articulate their superpowers. What am I known for? What are the use cases I can either build to or have agents against? And where have I done this consistently? And packaged really, really concretely, right? [00:31:55] Nina Harding: Um, this, this proliferate of like, I can do everything. Unfortunately, you get lost a little bit in the noise, right? So clear positioning, proof point’s, so critical right now, and reinforcing that credibility with the clients that have adopted. The second thing is that you’ve heard a little bit about this hopefully. [00:32:16] Nina Harding: How many of you have heard of the part partner success story? Okay, this is really, really key. We launched about maybe a month ago, and we already have over a hundred, uh, stories from partners, and the field is loving it. What it is is it brands the stories with your brand if you submit them. So what? Talk about credibility, um, with the field and with our marketers to have your name and that recognition picked up. [00:32:45] Nina Harding: It’s really, really fantastic. So I encourage you to do that. For those of you taking quick snaps, I did put a code on here, so if you wanna go straight to it, uh, you can take it. Um, and go explore with it. What’s nice about it is it’s AI based, so it will help you write these stories very, very quickly. [00:33:04] Nina Harding: There’s no reason why your sales reps can’t be writing these stories, and then yes, [00:33:11] Nina Harding: uh, yeah, you can do no meaning like from enterprise. No. Mm-hmm. Mm-hmm. You can do it on any, on any, there is a different level of fidelity of if you have the customer’s permission. Right. Um, to pu to publish it or not. And that’s some functionality we’re working on. If there’s enough traction of, of this is to help you guys. [00:33:32] Nina Harding: Secure that with Microsoft. Yeah. Um, but yeah, it can be any customer there. But I encourage you to take a look at that. And I know I’m two minutes over here, so I’m just gonna leave you with this. Um, at the end of the day, as I, as I wrap up here, I just wanna make sure that what, where we’re going and we’re going together, that it’s simple and actionable between us and it’s easy for our field to understand. [00:34:00] Nina Harding: Where you play the value proposition you play so that we’re going into deals even more effectively together. Right? So you heard industry, sub-industry, persona level or horizontal. Put that in if, um. Figuring out what your superpower is, making sure that you’re trained, that there’s evidence around the success, and capturing that in ways, uh, that are critical to not only your business, but giving us the visibility of that success. [00:34:31] Nina Harding: Like scream from the rack rafters. Use these tools to make sure that we know just how transformational you’ve been in some of the customers and where you’re uniquely winning. So, so important. So keep investing in the skilling. You can see my kind of like five power plays, right? And the last one always being that superpowers. [00:34:56] Nina Harding: So with that, um, if we do all of these things consistently, you won’t just be keeping up with ai. I think we will all be leading on that AI mission. So thank you very much. I appreciate it. [00:35:14] Vince Menzione: Don’t forget, ultimate Partner Live is coming soon, May 11th through the 13th in beautiful Bellevue, Washington. I hope to see you there.
Recorded 2026-03-08 22:01:21
如果你最近发现朋友圈里的科技大牛们开始讨论“养龙虾”,甚至连二手市场的 Mac mini 都变得一机难求,请不要惊讶 。这并不是某种新型水产养殖业的复兴,而是一场名为 OpenClaw 的通用智能体正在破圈 。在这期节目里,我们试图剥开这个被戏称为“小龙虾”的 AI 工具那层神秘的外壳:它为什么能让一个奥地利程序员在待业期间随手写出的代码,演变成让全球极客疯狂的生产力利器 ?从本质上讲,OpenClaw 正在重新定义我们与 AI 的协作方式。过去我们习惯于在一个对话框里小心翼翼地推敲提示词,指望 AI 能给出一个完美的文案;而现在的“养虾人”更倾向于给 AI 一个模糊的目标,让它像个真正的私人助理一样,跨越平台去查机票、定餐厅,甚至在遇到阻碍时自己注册虚拟电话去和人类沟通 。这种从“聊天”到“执行”的范式转移,正是 Mac mini 这种高性价比算力中心被抢购一空的根本原因 。然而,这种近乎“贾维斯”般的体验并非没有代价。当一个 AI 拥有了操作你电脑、读取你邮件、甚至动用你信用卡的权限时,安全边界该如何划定 ?在这场全网参与的“养虾”实验中,我们不仅聊到了最硬核的避坑指南和模型选型建议,更深入探讨了这种不确定性带来的惊喜与风险。无论你是一个想给公司省下十个员工成本的初创老板,还是只想让 AI 帮你在早晨汇总新闻的普通用户,这期节目都能让你在喧嚣的“养虾”热潮中,看清 AI 时代的下一个入口。【本期知识要点】走进“小龙虾”:它到底是什么?00:03:05 什么是 OpenClaw? 名字的由来及其诞生的背景00:05:19 核心功能拆解: 相比普通 AI 对话框,它多了“消息系统”和“任务系统”00:07:43 通用智能体(Agent)的概念: 它更像是一个“会思考的操作系统”,能自主想办法达成目标00:12:10 什么是 Skills(技能)? 相当于“手机 APP”,是模型与物理世界能力连接的桥梁行业现象:为什么突然火出圈?00:18:37 火爆诱因: 傅盛等自媒体博主的推流,加上公众对 AI “从聊天到干活”的焦虑感与期待00:20:38 大厂推波助澜: 阿里云、腾讯云、百度等迅速推出云端一键部署服务00:21:34 催生“第三产业”: 衍生出 500 元一次的“带装龙虾”上门安装服务及代养、代修业务硬件与环境:怎么装最靠谱?00:24:01 “矿场”新形态: 为什么 Mac mini 会全网断货?解析 M 系列芯片在算力上的优势00:28:38 安装方案对比:* 本地物理机: 权限最高但也最危险虚拟机/Docker: 安全隔离,但操作桌面端应用受限云服务器(VPS): 腾讯云/阿里云的轻量服务器方案,适合小白低成本体验00:53:03 安全预警: 警惕恶意 Skills 窃取私钥或删除本地文件,强调“信任边界”的重要性进阶指南:如何养出一只“聪明”的龙虾?00:54:38 接入交互工具: 对比 Telegram、飞书、企业微信、QQ 等工具的对接优劣00:58:02 大模型的选择:* 国外模型:Claude 3.6/GPT 等能力最强,泛化与收敛能力更好国内模型: MiniMax(高性价比)、智谱 GLM 5、DeepSeek(OCR 强项)01:14:11 省钱技巧(Token 避坑): 避免闲聊,直奔主题,理解模型自主思考带来的“Token 燃烧”场景应用:它能帮你做什么?01:18:23 职场助理: 自动监控航班动态、整理会议纪要、抓取每日新闻01:21:42 投资参考: 辅助分析股票基金基本面01:24:20 自媒体辅助: 批量生成选题与图文的边界与局限性01:30:31 高级玩法: 结合安卓短信转发器,让 AI 掌握个人实时信息辅助决策常见问题 (FAQ)【相关节目】科技乱炖:当可靠的代码变成了偶尔发疯的OpenClaw,我们未来的工作范式变迁【本期主播及嘉宾】朱峰:「津津乐道播客网络」创始人,产品及技术专家。姝琦:「津津乐道播客」&「不叁不肆」主播,互联网大龄产品经理(微博:@姝琦_HU,小红书:@姝琦同学)【制作团队】后期 / 声湃剪辑大模型封面 / 姝琦监制 / 姝琦运营 / 卷圈产品统筹 / bobo【联系我们】希望大家在听友群和评论区多多反馈收听感受,这对我们来说十分重要。欢迎添加津津乐道小助手微信:dao160301,加入听友群【关于「津津乐道播客网络」】在一派纷繁芜杂里,我们为愉悦双耳而生。科技、教育、文化、美食、生活、技能、情绪……严肃认真却不刻板,拒绝空泛浮夸。与专业且有趣的人携手缔造清流,分享经历,传播体验,厘清世界与你的关系。津津乐道 | 科技乱炖 | 津津有味 | 记者下班 | 不叁不肆 | 厂长来了 | 编码人声 | 沸腾客厅 | 拼娃时代收听平台苹果播客 | 小宇宙App | 汽水儿App | Spotify | 喜马拉雅 | 网易云音乐 | QQ音乐 | 微信听书 | 荔枝FM | 央广云听 | 听听FM | Sure竖耳App | Bilibili | YouTube联系我们津津乐道播客官网 | 公众号:津津乐道播客 | 微信:dao160301 | 微博:津津乐道播客 | 商业合作:hi@dao.fm | 版权声明 | RSS订阅本节目由「声湃 WavPub」提供内容托管和数据服务支持。
Jesse Genet shares how she built a team of AI agents to transform homeschooling, family life, and personal productivity without a software background. She explains how agents like an AI chief of staff, curriculum planner, and content creator help design personalized lessons, analyze kids' learning, manage educational toys, and even run TikTok. The conversation covers practical delegation workflows, guardrails and trust, and why she treats AIs like employees with onboarding and clear roles. Jesse also explores local models, privacy, and how AI in the home could reshape future work and family life. Use the Granola Recipe Nathan relies on to identify blind spots across conversations, AI research, and decisions: Sponsors: VCX: VCX, by Fundrise, is the public ticker for private tech, giving everyday investors access to high-growth private companies in AI, space, defense tech, and more. Learn how to invest at https://getvcx.com Claude: Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro's full capabilities at https://claude.ai/tcr Serval: Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week 4 at https://serval.com/cognitive Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai CHAPTERS: (00:00) About the Episode (04:57) Homeschooling context and AI (15:55) Building an AI team (Part 1) (19:51) Sponsors: VCX | Claude (23:18) Building an AI team (Part 2) (31:03) Onboarding agents like employees (Part 1) (38:12) Sponsors: Serval | Tasklet (40:31) Onboarding agents like employees (Part 2) (40:57) Context, models, and privacy (48:47) AI intimacy and rights (56:19) Coordinating agents in Slack (01:02:19) Designing an agent superapp (01:08:35) Agent trust and kids (01:17:57) Voice interfaces for families (01:29:51) Curated screens and automations (01:40:28) Sharing setups and software (01:48:43) Local sovereignty and kid devices (01:59:26) Work, disruption, and play (02:04:58) Episode Outro (02:07:45) Outro PRODUCED BY: https://aipodcast.ing
In this episode, I am in conversation with Dr Christiane Tristl, an economic geographer interested in heterodox economic geography. Their scholarship focuses on big tech companies, digital technologies, marketisation of water and critical agri-food studies. We discuss her book Turning Water into Commodity: Digital Innovation and the Private Sector as Development Agent (Bristol UP, 2025). Dr Tristl's book explores how private sector approaches and digital technologies open up remote regions to permanent arrangements of transnational market-based water supply beyond state sovereignty, which define their users as paying customers. By considering the socio-political realities of these market based interventions in the water sector, Dr Tristl's research spells out for us the increasing influence of private corporations and philanthrocapitalist principles in development cooperation in both rural and peri-urban parts of Kenya.Abhilasha Jain is a social anthropologist trained at the London School of Economics. Her research interests lie at the intersection of caste, gender, spatial and climate justice, legal and critical anthropology. She is a qualitative researcher, curriculum designer and a feminist ethnographer. She has produced and co-hosted an academic podcast in India called AcademiaBTS, to bring graduates and PhD scholars to talk about their work, academic life in India, and to build a community that resonates with students in higher education. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network
In this episode, I am in conversation with Dr Christiane Tristl, an economic geographer interested in heterodox economic geography. Their scholarship focuses on big tech companies, digital technologies, marketisation of water and critical agri-food studies. We discuss her book Turning Water into Commodity: Digital Innovation and the Private Sector as Development Agent (Bristol UP, 2025). Dr Tristl's book explores how private sector approaches and digital technologies open up remote regions to permanent arrangements of transnational market-based water supply beyond state sovereignty, which define their users as paying customers. By considering the socio-political realities of these market based interventions in the water sector, Dr Tristl's research spells out for us the increasing influence of private corporations and philanthrocapitalist principles in development cooperation in both rural and peri-urban parts of Kenya.Abhilasha Jain is a social anthropologist trained at the London School of Economics. Her research interests lie at the intersection of caste, gender, spatial and climate justice, legal and critical anthropology. She is a qualitative researcher, curriculum designer and a feminist ethnographer. She has produced and co-hosted an academic podcast in India called AcademiaBTS, to bring graduates and PhD scholars to talk about their work, academic life in India, and to build a community that resonates with students in higher education. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/world-affairs
In this episode, I am in conversation with Dr Christiane Tristl, an economic geographer interested in heterodox economic geography. Their scholarship focuses on big tech companies, digital technologies, marketisation of water and critical agri-food studies. We discuss her book Turning Water into Commodity: Digital Innovation and the Private Sector as Development Agent (Bristol UP, 2025). Dr Tristl's book explores how private sector approaches and digital technologies open up remote regions to permanent arrangements of transnational market-based water supply beyond state sovereignty, which define their users as paying customers. By considering the socio-political realities of these market based interventions in the water sector, Dr Tristl's research spells out for us the increasing influence of private corporations and philanthrocapitalist principles in development cooperation in both rural and peri-urban parts of Kenya.Abhilasha Jain is a social anthropologist trained at the London School of Economics. Her research interests lie at the intersection of caste, gender, spatial and climate justice, legal and critical anthropology. She is a qualitative researcher, curriculum designer and a feminist ethnographer. She has produced and co-hosted an academic podcast in India called AcademiaBTS, to bring graduates and PhD scholars to talk about their work, academic life in India, and to build a community that resonates with students in higher education. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/environmental-studies
Timeline & Liste des sujets :00:00:00 Le prof sans diplômes : les surprenants débuts de Jeffrey00:02:42 Le mail adressé à Bill Gates et qui révèle la véritable mission d'Epstein00:07:16 Bill Gates : le caniveau de l'éthique00:09:32 Un agent du kompromat : le maître chanteur00:15:19 Petit point Donald Trump00:17:37 Un incroyable outil de pression et de manipulation00:19:59 Comment des élites de ce calibre se sont-elles fait avoir comme des amateurs ?00:23:38 Le prince Andrew d'Angleterre : on bascule dans le sordide00:27:14 La raison de ma prudence : quand les conspis s'emparent d'un sujet (satanisme et mangeurs de bébés)00:30:48 Le conspirationniste ne veut pas avoir raison, par principe00:33:30 L'histoire d'Andrew et de l'adolescente Virginia00:39:35 Des corps enterrés dans le Zorro Ranch ???00:41:24 Origine de la fortune d'Epstein : Leslie Wexner et le Mega Group00:49:46 La fondation Wexner, Israël et le Mossad00:53:14 Un agent double, proxy financier et fusible00:56:47 Eugénisme et délires transhumanistes : Epstein voulait devenir immortel01:01:06 Quand Epstein parle de QI et de racialisme avec Noam Chomsky01:03:38 Vous ne savez pas ce qu'est la gauche01:05:25 Une obsession pour la vie éternelleLien vers la traduction du mail qu'Epstein s'apprêtait à envoyer à Bill Gates pour le faire chanter - https://www.lapilulecast.com/quand-epstein-tente-de-menacer-bill-gates/
In this episode, I am in conversation with Dr Christiane Tristl, an economic geographer interested in heterodox economic geography. Their scholarship focuses on big tech companies, digital technologies, marketisation of water and critical agri-food studies. We discuss her book Turning Water into Commodity: Digital Innovation and the Private Sector as Development Agent (Bristol UP, 2025). Dr Tristl's book explores how private sector approaches and digital technologies open up remote regions to permanent arrangements of transnational market-based water supply beyond state sovereignty, which define their users as paying customers. By considering the socio-political realities of these market based interventions in the water sector, Dr Tristl's research spells out for us the increasing influence of private corporations and philanthrocapitalist principles in development cooperation in both rural and peri-urban parts of Kenya.Abhilasha Jain is a social anthropologist trained at the London School of Economics. Her research interests lie at the intersection of caste, gender, spatial and climate justice, legal and critical anthropology. She is a qualitative researcher, curriculum designer and a feminist ethnographer. She has produced and co-hosted an academic podcast in India called AcademiaBTS, to bring graduates and PhD scholars to talk about their work, academic life in India, and to build a community that resonates with students in higher education. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/geography
In this episode, I am in conversation with Dr Christiane Tristl, an economic geographer interested in heterodox economic geography. Their scholarship focuses on big tech companies, digital technologies, marketisation of water and critical agri-food studies. We discuss her book Turning Water into Commodity: Digital Innovation and the Private Sector as Development Agent (Bristol UP, 2025). Dr Tristl's book explores how private sector approaches and digital technologies open up remote regions to permanent arrangements of transnational market-based water supply beyond state sovereignty, which define their users as paying customers. By considering the socio-political realities of these market based interventions in the water sector, Dr Tristl's research spells out for us the increasing influence of private corporations and philanthrocapitalist principles in development cooperation in both rural and peri-urban parts of Kenya.Abhilasha Jain is a social anthropologist trained at the London School of Economics. Her research interests lie at the intersection of caste, gender, spatial and climate justice, legal and critical anthropology. She is a qualitative researcher, curriculum designer and a feminist ethnographer. She has produced and co-hosted an academic podcast in India called AcademiaBTS, to bring graduates and PhD scholars to talk about their work, academic life in India, and to build a community that resonates with students in higher education. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society
OpenSea launches an agent CLI. Gitcoin proposes an overhaul of its grants program. And Curve accuses PancakeSwap of copying its code. Read more: https://ethdaily.io/898 Borrow against ETH at the lowest fixed rates in DeFi. Liquity V2 lets you use ETH as collateral to mint BOLD, the Ethereum native dollar. Learn more at liquity.org Content is for informational purposes only, not endorsement or investment advice. The accuracy of information is not guaranteed.
The smartphone is everywhere, but its next evolution won't look like the apps we use today. In this episode of Bold Names, WSJ's Tim Higgins sits down with Qualcomm CEO Cristiano Amon to discuss the seismic shift from apps to AI agents – and why this transition could reshape everything from your phone to your glasses. To watch the video version of this episode, visit our WSJ Podcasts YouTube channel or the video page of WSJ.com. Check Out Past Episodes: How SAP's CEO Is Remaking the European Tech Giant For The Age Of AI How Corning Is Using Trump's Tariffs To Its Advantage This Tech Founder's $1.3 Billion Company Is Taking On Apple and Samsung Biden's Antitrust Architect on How Big Tech Threatens U.S. Prosperity Let us know what you think of the show. Email us at BoldNames@wsj.com. Sign up for the WSJ's free Technology newsletter.Read Tim Higgins's column. Learn more about your ad choices. Visit megaphone.fm/adchoices
During the 4pm hour of today's show Chuck & Chernoff talked about free agents the Braves can still target, the Falcons, Kyle Pitts and more before being joined by our Agent to the Stars, Hadley Engelhard. See omnystudio.com/listener for privacy information.
March 6, 2026: Your daily rundown of health and wellness news, in under 5 minutes. Today's top stories: Amazon Web Services launches Amazon Connect Health, AI-powered system automating healthcare admin work and reducing abandoned calls by 30% UBS projects global longevity spending will reach $8 trillion annually by 2030, with GLP-1 drugs alone surpassing $200B in sales this decade Oura acquires Finnish startup Doublepoint to bring biometric gesture controls to wearable ecosystem, supporting vision of "cloud of wearables" More from Fitt: Fitt Insider breaks down the convergence of fitness, wellness, and healthcare — and what it means for business, culture, and capital. Subscribe to our newsletter → insider.fitt.co/subscribe Work with our recruiting firm → https://talent.fitt.co/ Follow us on Instagram → https://www.instagram.com/fittinsider/ Follow us on LinkedIn → linkedin.com/company/fittinsider Reach out → insider@fitt.co
Has the cost of software development officially dropped below the minimum wage? Andrew and Ben examine this economic shift alongside the rapid open-source growth and security implications of the OpenClaw project. They also explore Steve Yegge's concept of a federated wasteland for orchestrators and how the new Perplexity Computer is stepping up to act as a persistent, always-on digital coworker.Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:OpenClaw rocks to GitHub's most-starred status, but is it safe?Welcome to the Wasteland: A Thousand Gas TownsIntroducing Perplexity ComputerSoftware development now costs less than than the wage of a minimum wage workerScott Werner's Works on My machineTraffic Jam ExplorerOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.
Ryan Carson taught over 1,000,000 people how to code at Treehouse and spent 25% of his entire life doing it. Now he says everything about that process needs to change.In this livestream, Ryan joins Corey Noles and Grant Harvey to rethink programming education from scratch. When AI agents can write production code, pass competitive coding challenges, and ship features while you sleep.We'll cover:
What if the best way to solve problems… is to stop them from happening in the first place?In this episode of The Agent of Wealth Podcast, the Bautis Financial team discusses another book in their Book Club series: Upstream: The Quest to Solve Problems Before They Happen by Dan Heath.Through real-world examples and insights from the book, the team explores why organizations often get stuck reacting to problems instead of preventing them — and what it takes to shift toward upstream thinking.In this episode, we discuss:Why many problems persist due to the “diffusion of responsibility” — and how assigning clear ownership is critical to preventing recurring issues.How “tunneling” keeps individuals and organizations stuck in reactive mode, constantly solving urgent problems without addressing the root causes upstream.Why changing outcomes often requires redesigning systems — not just asking people within those systems to work harder or behave differently.How identifying leverage points, early warning signals and meaningful metrics can help organizations detect problems sooner and measure whether prevention efforts are truly working.And more!Tune in for a thoughtful discussion on how upstream thinking can lead to better decision-making, stronger systems and fewer crises — whether you're running a business, managing a team or simply trying to improve processes in your everyday life.Resources: Episode Transcript & Blog | Upstream: The Quest to Solve Problems Before They Happen | Bautis Financial: 8 Hillside Ave, Suite LL1 Montclair, New Jersey 07042 (862) 205-5000 | Schedule an Introductory CallWant to be a guest on The Agent of Wealth? Send Marc Bautis a message on PodMatch, here: https://tinyurl.com/mt4z6ywc
Animoca Brands Chairman Yat Siu makes a bold prediction: within the next few years, there will be 30 to 50 billion AI agents operating online. And they won't live on Facebook or Google — they'll live on the blockchain.In this wide-ranging conversation, Yat breaks down why crypto infrastructure was built for this moment, why Europe faces "technology colonization," and what Apple's 30% Patreon fee reveals about platform power.In this conversation:• Bitcoin acting as a safe haven vs. risk asset• Hong Kong's position as Asia's financial hub• The real state of NFTs and gaming• Animoca Combines: AI agents for everyone• His prediction: 30-50 billion agents on-chain• Why digital identity matters more for agents than humans• Agent swarm security experiments at AnimocaAbout the Guest:Yat Siu is the Chairman and Co-founder of Animoca Brands, one of the world's leading blockchain gaming and investment companies. Animoca Brands has made over 400 investments in Web3 projects.
Today on the Salesforce Admins Podcast, we talk to Joshua Birk, Senior Director of Admin Evangelism at Salesforce. Join us as we chat about how to get started with Agent Script and how it helps admins build better AI agents. You should subscribe for the full episode, but here are a few takeaways from our […] The post How Does Agent Script Give Admins More Control? appeared first on Salesforce Admins.
It's another episiode of Insurance town from the Lazy river!! With Ben Morrow, Brenden Corr, Marques Ogden, Jessica, Casey Nelson, Caleb Cramer, etc. Its FunSponsorsCanopy Connect MAVGoli= Go.Goli.com/Mayor
Artificial intelligence is rapidly transforming the business landscape, redefining how value is created and where human work fits within the new paradigm. Long-standing advice to amass knowledge and out-execute others is now running up against sophisticated AI agents that can process information and perform tasks at speeds and scales unattainable by humans. In this emerging era, Christopher Lochhead's insights point to a critical shift from being a traditional “knowledge worker” to embracing the future as a “creator capitalist.” On this episode, Christopher Lochhead moves over to the guest chair and answer our questions about AI, Creator Capitalists, and the future of work. You're listening to Christopher Lochhead: Follow Your Different. We are the real dialogue podcast for people with a different mind. So get your mind in a different place, and hey ho, let's go. Why the Knowledge Worker Playbook Is Obsolete For decades, success in business hinged on being a master of knowledge and execution. This model rewarded those who reacted effectively, put out fires, and delivered results with established frameworks. However, with AI making information and execution nearly free and instantly accessible, simply reacting and executing is no longer enough. As Christopher Lochhead argues, clinging to this outdated success formula is akin to opening a video rental store in the age of streaming services. Today, the competitive edge lies in moving upstream to activities that AI cannot easily replicate. This means focusing on judgment, unique perspectives, and the ability to define, frame, and solve new problems. Humans cannot out-execute a GPU, but they can out-create one by leveraging skills that remain distinctly human. The Four Capitals of the Creator Capitalist Framework Lochhead's Creator Capitalist concept rests on the mastery and integration of four kinds of capital: intellectual, relationship, reputational, and financial. Intellectual capital emerges from differentiated insights, deep domain expertise, and unique perspectives. Relationship capital is built through genuine connections and trust within your network, while reputational capital is earned through tangible results and reliability, not just self-promotional branding. Bringing these capitals together creates a flywheel that drives lasting success, even as AI commoditizes old sources of value. Financial capital follows as a natural result of delivering value that others find meaningful. Those able to orchestrate these four capitals will build not just AI-resistant careers but ones supercharged by the new opportunities technology presents. Unleashing Human Potential: Adapt, Create, and Lead As AI handles more routine tasks, the future belongs to those who cultivate curiosity, creativity, and critical thinking. These human abilities enable us to ask better questions, generate bold ideas, and envision solutions no algorithm can predict. Lochhead urges professionals to take radical responsibility for their careers and continually seek ways to create net new value. Adapting to this shift means letting go of fear and embracing the opportunity to redefine what it means to be valuable. The most successful individuals and organizations will be those who harness AI as a tool to augment their creative power and lead the way into uncharted territory. The age of the creator capitalist has arrived, and it's time to build the future together. To hear more of Christopher Lochhead’s thoughts on Creator Capitalist and the future of work, download and listen to this episode. Links Want to catch more episode of the AI Agent & Copilot Podcast? You can check them out here: Presented by Cloud Wars | AI Agent and Copilot Podcast | John Siefert LinkedIn | Cloud Wars LinkedIn We hope you enjoyed this episode of Christopher Lochhead: Follow Your Different™! Christopher loves hearing from his listeners. Feel free to email him, connect on Facebook, X (formerly Twitter), Instagram, and subscribe on Apple Podcast / Spotify!
➡️ Want To Learn More About Partnering With with Alan Kushmakov and myself at eXp? Schedule Your 100% Confidential, 100% Zero Pressure Discovery Call: https://calendly.com/alankbesthomesre/exp-explained ➡️ Connect with Alan Kushmakov: Facebook: https://www.facebook.com/alankushmakov Instagram: https://www.instagram.com/alankushmakov LinkTree: https://linktr.ee/alankushmakov ➡️ Connect With Me On Social Media: Facebook: https://www.facebook.com/JoshuaSmithGSD Instagram: https://instagram.com/joshuasmithgsd/ About Joshua Smith: -Licensed Realtor/Team Leader Since 2005 -Voted 30th Top Realtor in America by The Wall Street Journal -NAR "30 Under 30" Finalist -Named Top 100 Most Influential People In Real Estate -Top 1% of Realtors/Team Leaders Worldwide -6000+ Homes Sold & Currently Selling 1+ Homes Daily -Featured In: Forbes, Wall Street Journal, Inman & Realtor Magazine -Realtor, Team Leader, Coach, Mentor
“Agent 99” herself, the funny and charming Barbara Feldon invites Gilbert and Frank to her New York City townhouse to share warm memories of “Get Smart” co-stars Don Adams, Ed Platt and Bernie Kopell and to give the boys her take on the Steve Carell feature film version. Also, Barbara looks back on working with everyone from Dean Martin to Bruce Dern and tells us how she managed to win $64,000 on a quiz show. Also in this episode: Gilbert channels John McGiver, Barbara auditions to be a stripper, and the worst TV movie ever made. PLUS: A live, all-new rendition of the "99" song! Learn more about your ad choices. Visit megaphone.fm/adchoices