Podcasts about executives

Today, we welcome Dr. Greg Giuliano, advisor and executive coach to senior leaders and teams around the world, and founder of GA | Ultra Leadership. Greg is the author of three #1 Amazon Bestsellers, including his newest book, Coaching for (a) Change: How to Engage, Empower, and Activate People.Greg's WebsiteGreg on YouTube@ultraleadership on InstagramLinkedIn: https://www.linkedin.com/in/greggiuliano/In this book, Greg challenges traditional command-and-control leadership and offers a practical alternative: coaching. Drawing on more than two decades of experience, he introduces the GR8 Coaching Framework, a set of eight powerful questions designed to help leaders shift from being expert problem-solvers to facilitators of ownership, engagement, and real change.Why This Book, and Why Now?Greg, let's start at the beginning. What experiences or patterns in your leadership and coaching work prompted you to write Coaching for (a) Change? What problem were you seeing leaders struggle with most?From Manager to CoachYou talk about the need for leaders to shift from “manager” to “coach.” What does that shift really mean in day-to-day leadership—and why does the old command-and-control model fall short?Ultra Leadership vs. Traditional LeadershipYou distinguish between traditional leadership and what you call Ultra Leadership. How are they different, and what behaviors separate leaders who engage and empower people from those who unintentionally shut them down?The Power of Coaching (and the Misconceptions)Many leaders say they don't have time to coach—or that coaching is soft or optional. Why is coaching actually a critical leadership skill today, and what are the biggest misconceptions leaders have about it?The GR8 Coaching FrameworkLet's get practical. Walk us through the GR8 Coaching questions. How do these questions help leaders kick the “expert problem-solver” habit and activate ownership, accountability, and change?For leaders listening right now who want to start coaching for change—but don't know where to begin—what's one question they can ask this week that would immediately shift how their people show up?Thanks to our sponsor, White Cloud Coffee — fueling creative conversations everywhere. Listeners, enjoy 10% off your first order at whitecloudcoffee.com.And before you go, you can download a free copy of my e-book A World of Creativity when you visit mark-stinson.com.

Deborrah Mac Kenzie-Meneades has over 30 years of experience in executive support.In this episode of The Leader Assistant Podcast, Deborrah shares her assistant career story, including a bit from her experience leading EA teams, and talks about superpowers assistants have.Show notes -> leaderassistant.com/366 --It's the last day of the offsite and it was exactly what the team needed. The CEO pulls you aside to say, “Thank you. This was next level.”Your secret? You used Offsite. They handled the venues, negotiations, and logistics – so you could focus on shaping the experience.Sound too good to be true? It's actually within reach. (And it can even save you money.)See how at leaderassistant.com/offsite. --Are you ready to level up? Enroll in The Leader Assistant Academy at leaderassistant.com/academy to embrace the Leader Assistant frameworks used by thousands of assistants.More from The Leader Assistant... Book, Audiobook, and Workbook -> leaderassistantbook.com The Leader Assistant Academy -> leaderassistantbook.com/academy Premium Membership -> leaderassistant.com/membership Events -> leaderassistantlive.com Free Community -> leaderassistant.com/community

In this episode, William A. Wertheim, Executive Vice President at Stony Brook Medicine, joins the podcast to discuss embedding care directly into the communities they serve, including the development of a new East Hampton emergency center. He shares how structural transformation and shared governance are helping merge clinical and academic priorities, and reflects on the importance of living out core values as a leader during times of growth and change.

What if the leadership issue in front of you is not strategy, but an old wound you have never fully resolved?   In this episode, Bill Sherman talks with Kendra Dahlstrom an executive coach and host of "The Unworthy Leader" podcast about the deeply personal path that led her into thought leadership, and why she believes the future of leadership development must go far beyond traditional coaching. Kendra shares how her own experience as a coaching client changed the way she worked, lived, and led. What started as personal growth became something bigger. Senior leaders began turning to her for guidance in high-pressure moments. That trust revealed a new role: trusted advisor, coach, and thought leader. The conversation explores the real shift from being an internal leader to building an independent coaching practice. Kendra is candid about the hard part. Selling coaching is personal. When you are the product, rejection can feel personal too. She explains how learning to value her work, define her frameworks, and sell without losing generosity became essential to building a sustainable business. Bill and Kendra also dig into what makes coaching credible and scalable. Kendra explains why leaders want a bespoke experience, but still need a repeatable process they can trust. She discusses the balance between personal connection and structured methodology, and why clients are often buying trust in the coach as much as the framework itself. One of the most powerful parts of the episode is Kendra's discussion of trauma, agency, and leadership. She shares how her own lived experience shaped her approach to coaching. Her belief is clear: unresolved trauma does not stay at home. It shows up in meetings, reactions, communication, and performance. She makes the case that leadership development should address emotional triggers, somatic awareness, and inner healing, not just surface-level behavior change. The episode then turns toward the future. Kendra outlines a bold vision to reshape leadership development inside large organizations. She wants to move this work from one-on-one executive coaching into teams, programs, and eventually enterprise-wide culture change. Bill helps pressure-test that vision, asking the key business questions: Can it scale? Can it be measured? Can it improve productivity, retention, and performance? Together, they frame a practical and provocative roadmap for what next-generation leadership could look like. This is a thoughtful conversation about trust, transformation, and the courage to introduce ideas that may feel uncomfortable at first. It is also a strong example of thought leadership in motion: personal, distinctive, and designed to challenge conventional thinking. Listeners will come away with a fresh perspective on coaching, leadership, and what it truly takes to create lasting change.   Three Key Takeaways: • Thought leadership often starts when trust shows up before a title does. The guest's path began when leaders started turning to her for advice in high-stakes moments. That trust revealed her value as a coach and trusted advisor before she fully claimed that role herself. • Better leadership requires deeper inner work, not just better tactics. A core theme is that unresolved trauma, emotional triggers, and past experiences can shape how leaders react at work. The conversation argues that self-regulation, agency, and somatic awareness are not "soft" extras. They directly affect how leaders show up in the boardroom.  • The future of leadership development must be both human and scalable. The episode moves beyond one-on-one coaching and explores how this work could expand into teams, workshops, and enterprise programs. The focus is on making leadership development more effective, more measurable, and more relevant to outcomes organizations care about, especially productivity and performance. If this episode sparked your thinking about how better leadership starts with deeper self-awareness, emotional regulation, and real inner work, then Joseph Press's episode is a strong next listen. In Kendra's conversation, the focus is on what happens inside the leader: the wounds, triggers, and patterns that shape behavior at work. In Joseph's episode, the focus shifts to what leaders must do next: think beyond reactive habits, lead with greater awareness, and prepare their organizations for an uncertain future. Together, these two episodes give you both sides of the leadership equation: how to lead yourself more intentionally, and how to lead your organization more effectively through change.    

Is your traditional SaaS experience becoming obsolete? In this new 20-minute rapid-fire format, Sam Jacobs, AJ Bruno, and Asad Zaman tackle a specific listener question: How does a senior operator transition from a legacy B2B SaaS role into a high-growth AI company? The market is shifting toward a meritocracy where recent hands-on capability outweighs decades of tenure on a CV. The hosts break down exactly how to position yourself for companies like CoreWeave and EliseAI. They discuss why hiding your lack of technical engineering skills is a mistake, how to build a portfolio of "work product" using low-code tools like Replit and Claude, and why being able to articulate the failures of AI models is actually the strongest signal of fluency. Key Takeaways: - Stop relying on a static resume and start building a portfolio of practical applications. As Sam Jacobs notes, the hiring landscape has shifted so that "your work product needs to speak for itself... demonstrating that you're capable of working with these tools, not theoretically, but practically through your conversations that you're having with hiring managers." - We are entering a career reset where agility beats seniority. Asad Zaman warns that "whenever there is a platform shift... the value of experience goes down a little bit," which creates a massive opportunity for younger leaders to "move up faster if you present in a very compelling manner because people are not looking at titles the same way." - Cultural currency matters as much as technical skill. To be taken seriously by founders in this space, you must consume information where they do. As Asad Zaman puts it, "If they find out that you're not on AI Twitter or AI X, I think they will think you're not a serious person... the information is not gonna be found in these old school channels." Connect with the Hosts: Host: Sam Jacobs - https://www.linkedin.com/in/samfjacobs/ Host: AJ Bruno - https://www.linkedin.com/in/ajbruno3/ Host: Asad Zaman - https://www.linkedin.com/in/azaman1/   Topline is not JUST a YouTube Channel! Subscribe to Topline Newsletter: https://www.joinpavilion.com/topline-newsletter Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech: https://www.joinpavilion.com/topline-podcast Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast: https://www.joinpavilion.com/topline-slack   Chapters: 00:00 Intro 01:58 Viewer Q: Transitioning to AI 02:48 Show Work Product, Not Just CVs 04:36 Applying SaaS Principles to AI 05:58 The AI-First Mentality 08:58 Articulating AI Limitations 11:30 The Meritocracy Shift 13:55 Unexpected AI Wins 21:27 Staying Culturally Relevant 24:29 Summary: How to Get Hired  

The Pentagon is phasing out Anthropic's AI after the company refused to remove safety "red lines" regarding autonomous weapons and mass surveillance. This move comes as the Trump administration pushes to have the most powerful military technology and outpace China. Retired Lieutenant Colonel Bob Maginnis joins the show to discuss the necessity of keeping a human in the decision-making loop, the rapidly growing use of AI on modern battlefields, and the challenges of replenishing American munitions stockpiles.Later, Tevi Troy, Senior Fellow at the Ronald Reagan Institute, joins to discuss America's complicated relationship with Iran since World War II and how the two nations became enemies nearly 50 years ago. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Iran has — for years — been developing drone technology to share with adversaries of the United States and Israel. And now, Iran's military is using them for attacks in Israel and countries hosting American troops. The first American deaths in the U.S.-Israel military operation against Iran were in a one-way drone attack in Kuwait. The Russia-Ukraine conflict is considered to be the first real drone war, with both sides using them for attacks on a large scale. Their use in military strikes dates back about 20 years. FOX News Rundown host Chris Foster recently spoke with FOX News Contributor and Army Special Operations Intelligence Analyst Brett Velicovich about his experience using drones in combat and how they're changing the battlefield. Velicovich, who is also the founder of the drone company Powerus, talked about the use of drones in Operation Epic Fury and his concerns about terrorists using them anywhere in the world — including the U.S. We often have to trim our interviews during the week, but we thought you'd like to hear the full conversation. Today on the FOX News Rundown Extra, we share our entire interview with FOX News Contributor and drone expert Brett Velicovich. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Big transformations don't come from heroic sprints; they come from steady steps that respect how our brains and bodies adapt to change.We unpack the ABC coaching tool, a simple, repeatable way to make progress effortless and consistent, making it feel less like a war with yourself and more like a rewarding collaboration.If you're ready to evolve on purpose - this guide is your blueprint. Subscribe, share with someone who's hungry for change, and leave a review to help more people find a gentler path to lasting growth.  Text Me Your Thoughts and IdeasSupport the showBrought to you by Angela Shurina Behavior-First, Executive, Leadership and Optimal Performance Coach 360, Change Leadership & Culture Transformation Consultant

Send a textThe NoJetStress Podcast is a traveler wellbeing podcast for frequent business travelers covering health and peak performance on the road as well as to help business travelers maintain optimal health and avoid burnout no matter how much they travel.  Christopher Babayode, a Corporate Travel Wellness Expert shares his insights on Traveler Wellness.In this episode, Christopher talks about:Who It's For:Travel and HR leaders focused on sustainable performance.Executive travelers managing back-to-back travel cycles.Organizations serious about integrating wellbeing into travel policy.Key Takeaway:If you don't optimize circadian health and recovery, jet stress will do it for you. The PJP rewires how your travelers move through the world.What You'll Learn:Why treating each trip as a one-off fails your travelers.The Three Phases of Leverage:PoML (Place of Most Leverage): Home base, 48–72 hours before and after travel to tune rhythms and store vitality.PoLL (Place of Least Leverage): In-flight environment focused on damage control through hydration, light, and micro-movements.PoSL (Place of Some Leverage): Destination strategy to anchor circadian rhythms via light, meals, and movement alignment.The circadian clock system - central, gut, and peripheral, and how to realign it.Moving from duty of care to duty of performance for corporate travelers.Preview of the Perpetual Journey Planner App for organizational visibility and traveler wellbeing.How to get help for the number 1 jet lag travel stress your travelers face.You can subscribe to this podcast by searching 'BusinessTravel360' on your favorite podcast player or visiting BusinessTravel360.comThis podcast was created by Christopher Babayode and distributed by BusinessTravel360.  For more information about NoJetStress, visit us at NoJetStress.com and check out the P.H.A.R.E Well Audit Checklist.Support the show

Iranians across their own country, in the United States and across the world have been celebrating the death of Supreme Leader Ayatollah Ali Khamenei after coordinated U.S. and Israeli strikes continue. Iranians were first in disbelief but now they dare to dream their country will be free from the brutal Muslim regime of the Ayatollah. Many Iranians who's families fled in the 1970's remember an Iran, in the heart of the Middle East but with Western ideas of promoting individual liberty, democratic governance, and self-rule. FOX's Tonya J. Powers speaks with Nazee Moinian, associate fellow at the Middle East Institute in Washington, D.C. and author of the book, "Narratives of Grievance in Iran's Foreign Policy," who shares her family's story and explains why Iranians are so grateful to the United States and Israel for this military action against tyranny. Click Here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To Follow 'The FOX News Rundown: Evening Edition' Learn more about your ad choices. Visit podcastchoices.com/adchoices

As the Department of Homeland Security nears week three of a partial shutdown, caused by a funding lapse over Democrat-led demands for ICE reform, the United States has begun widespread military operations in Iran - raising renewed concerns about potential threats on U.S. soil. Former Senior Advisor at the Department of Homeland Security Charles Marino joins the Rundown to address those concerns, also weighing in on the firing of now-former DHS Secretary Kristi Noem and her replacement, Senator Markwayne Mullin (R-OK). Later, Former Chief of Staff to the National Security Council Alex Gray joins to unpack the broader geopolitical impact of Operation ‘Epic Fury.' Learn more about your ad choices. Visit podcastchoices.com/adchoices

This week, the world watched as "Operation Epic Fury" fundamentally altered Iran's future. But for those who fled the regime's oppression decades ago, this moment is deeply personal. Earlier this week, FOX News Rundown host Jessica Rosenthal spoke with two Iranian Americans—Board-certified physician Dr. Houman Hemmati and journalist Tabby Refael—to discuss their families' escape from the first Ayatollah and their reactions to the dismantling of the current regime. They shared their immense gratitude to the United States and explained why, for the first time in years, they have high hopes for a free Iran. We often have to trim our interviews during the week, but we thought you'd like to hear our entire, unedited conversations with both guests. Today on the FOX News Rundown Extra, we share our full interviews with Dr. Houman Hemmati and Tabby Refael. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode of the podcast, we spotlight the Darden Executive Fund (DEF) with a conversation featuring two of its leaders – Steve Miller and Philip Hunter. Steve and Philip are second year students in Darden's Executive MBA Class of 2026, and we talk with them about their backgrounds, what drew them to the Darden Executive Fund, what they've been working on with the Fund this year and more. For more insights, tips, and stories about the Darden experience, be sure to check out the Discover Darden Admissions blog and follow us on Instagram @dardenmba.  

A lawsuit claims that senior executives at JPMorgan Chase were aware of Jeffrey Epstein's abuse of underage girls while he was still a client of the bank. According to court filings cited by the Daily Mail, internal communications and testimony suggest that high-level officials discussed concerns about Epstein's behavior for years before cutting ties with him in 2013. The lawsuit alleges that bank employees flagged suspicious cash withdrawals and the nature of Epstein's relationships with young women, yet he remained a profitable client despite his 2008 conviction for soliciting a minor.The legal action argues that JPMorgan not only maintained its relationship with Epstein after his conviction but also potentially facilitated aspects of his trafficking operation by continuing to process large financial transactions. The bank has previously stated that it regrets its association with Epstein and maintains that it ended the relationship once concerns escalated internally.to contact me:bobbycapucci@protonmail.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-moscow-murders-and-more--5852883/support.

"this job is really primarily a people job" "if you get the right people, you don't have to spend a lot of time micromanaging; get out of their way and let them do their thing" "you have to be the type of boss that people are not afraid to bring bad news" "you all have everything you need to be successful at Dow" "if you treat Japanese people with integrity, trust, respect, like you would want to be treated like anywhere else in the world, you're going to be fine" Brief Bio Peter Jennings is President of Dow in Japan and Korea, overseeing a multi-billion-dollar business and thousands of employees across both markets. He joined Dow as an attorney and spent twenty-seven years in legal roles before being unexpectedly tapped for senior business leadership. Before moving to Japan in 2012, he served in Hong Kong as general counsel for Dow Asia Pacific and later returned to the United States for several senior assignments. His transition from legal counsel to country president reflects a career shaped by adaptability, deep institutional knowledge, and a strong people-first philosophy. In Japan, he became Dow's longest-serving president in the market's history, leading cultural renewal, leadership development, diversity initiatives, and a more open, internationally minded operating model inside a long-established Japanese organisation. Peter Jennings presents a compelling case that leadership success in Japan does not begin with technical mastery, perfect language, or rigid adherence to stereotype. It begins with trust. When he arrived in Japan in 2012, one year after the Tohoku earthquake, he came not as a traditional commercial operator but as a long-serving Dow lawyer with deep corporate knowledge and international experience. That unusual path could easily have created distance between him and a highly experienced Japanese leadership team. Instead, it became an advantage because he did not arrive pretending to know everything. He arrived listening. His early approach was simple and disciplined. He met leaders individually, asked about their biggest issues, wrote everything down, and focused on how he could help. In a market where nemawashi, ringi-sho, consensus-building, and careful internal alignment still shape decision-making, that restraint mattered. Rather than impose a foreign leadership template, Jennings worked to understand how trust and respect are earned locally. He recognised that formal authority in Japan means little unless people feel safe enough to speak candidly. Over time, the proof of progress was behavioural. Senior staff started challenging him privately after meetings. Employees began dropping by for coffee or lunch. More importantly, people brought bad news earlier. For Jennings, that was a decisive signal of culture change. He argues that if people fear punishment, information gets buried. In a high uncertainty avoidance environment, leaders must reduce the interpersonal risk of honesty before they can improve decision quality. That is where leadership and decision intelligence meet: better outcomes come from better information flow, not louder authority. He also reshaped the leadership bench. Over several years, Dow Japan moved from a more traditional senior male model towards a younger, more diverse, bilingual, bicultural team. Jennings takes particular satisfaction not in personal advancement but in seeing talented people, especially women, promoted into larger roles. He frames leadership as removing obstacles, securing resources, and backing capable people rather than controlling them. That is a significant shift away from hierarchical supervision and towards empowerment. Another major insight concerns engagement. Rather than accept low survey scores as a fixed Japan problem, Jennings replaced abstract annual questionnaires with thirty small-group focus sessions built around four direct questions. This surfaced practical barriers that a standardised survey missed. In effect, he moved from broad sentiment tracking to grounded organisational sensing. That approach resembles a more human version of modern management tools such as digital twins or data-led diagnostic systems: the aim is not data volume, but usable insight. Jennings remains optimistic about Japan's future because he sees a new generation less constrained by inherited conventions. He believes many younger professionals want accelerated careers, global exposure, flexibility, and merit-based opportunity. His lesson is clear: leadership in Japan works best when it combines respect for consensus with encouragement for initiative, local sensitivity with global openness, and humility with conviction. Q&A Summary What makes leadership in Japan unique? Leadership in Japan is shaped by context more than cliché. Jennings suggests the distinctive challenge is not that Japanese teams are uniquely difficult, but that trust must be earned carefully and consistently. Consensus matters, and leaders must respect the logic behind nemawashi and ringi-sho rather than dismiss them as slow. People observe behaviour closely before deciding whether a leader is safe, credible, and worth following. Titles alone do not create followership. In practice, leadership in Japan requires patience, consistency, and a visible commitment to fairness. Why do global executives struggle? Many global executives struggle because they arrive overconfident or over-programmed. Jennings argues that outsiders often assume prior Asia experience transfers automatically into Japan. It does not. Japan requires a different cadence, especially around rapport, internal alignment, and decision support. Executives also fail when they underestimate how long trust-building takes. Jennings says it took two to three years before he felt his influence had truly taken root. Leaders who expect quick wins often misread silence as agreement and hierarchy as commitment. Is Japan truly risk-averse? Jennings does not deny caution exists, but he reframes the issue as uncertainty rather than simple risk aversion. In environments with strong uncertainty avoidance, employees can hesitate because the social cost of error feels high. That does not mean they lack ambition or imagination. It means leadership must lower the penalty for speaking up, experimenting, and surfacing problems. When employees believe bad news will be handled constructively, innovation becomes more possible. The issue is less about national character and more about psychological safety. What leadership style actually works? The style that works is people-centred, transparent, and supportive. Jennings repeatedly returns to one principle: leadership is a people job. He believes leaders should ask good questions, listen well, help teams secure resources, and avoid micromanagement. They should also model openness by welcoming challenge and by rewarding honesty instead of punishing it. This style aligns well with consensus cultures because it does not destroy harmony; it strengthens it through trust. Effective leaders also create points of light by visibly backing talented people into bigger roles. How can technology help? Technology can support leadership, but it cannot replace human judgment. Jennings' critique of standard engagement surveys shows that data without context often misleads. Better systems should improve signal quality, not merely produce dashboards. In that sense, tools associated with decision intelligence, workforce analytics, or even digital twins of organisational processes can help leaders identify bottlenecks, bias, and friction. Yet Jennings' own example shows the real breakthrough came from direct conversation. Technology is most useful when it sharpens listening rather than substitutes for it. Does language proficiency matter? Language proficiency helps, but Jennings suggests it is not decisive. He openly acknowledges not speaking Japanese, yet built credibility through authenticity, gratitude, and respectful conduct. He believes leaders can succeed without perfect language if they behave with integrity, remain accessible, and work through strong local talent. Language matters less than whether people believe the leader is genuine, fair, and willing to learn. Cultural arrogance is far more damaging than imperfect fluency. What's the ultimate leadership lesson? The ultimate lesson is that people rise when leaders combine belief with opportunity. Jennings insists that employees already possess the education and ability to succeed; what often separates performance is confidence, encouragement, and the chance to act. Great leadership in Japan is therefore not about overpowering culture but about unlocking potential within it. When leaders blend respect, transparency, empowerment, and resilience, they create an organisation where people are willing to speak, grow, and lead. Author Credentials Dr. Greg Story, Ph.D. in Japanese Decision-Making, is President of Dale Carnegie Tokyo Training and Adjunct Professor at Griffith University. He is a two-time winner of the Dale Carnegie "One Carnegie Award" (2018, 2021) and recipient of the Griffith University Business School Outstanding Alumnus Award (2012). As a Dale Carnegie Master Trainer, Greg is certified to deliver globally across all leadership, communication, sales, and presentation programs, including Leadership Training for Results. He has written several books, including three best-sellers — Japan Business Mastery, Japan Sales Mastery, and Japan Presentations Mastery — along with Japan Leadership Mastery and How to Stop Wasting Money on Training. His works have also been translated into Japanese, including Za Eigyō (ザ営業), Purezen no Tatsujin (プレゼンの達人), Torēningu de Okane o Muda ni Suru no wa Yamemashō (トレーニングでお金を無駄にするのはやめましょう), and Gendaiban "Hito o Ugokasu" Rīdā (現代版「人を動かす」リーダー). In addition to his books, Greg publishes daily blogs on LinkedIn, Facebook, and Twitter, offering practical insights on leadership, communication, and Japanese business culture. He is also the host of six weekly podcasts, including The Leadership Japan Series, The Sales Japan Series, The Presentations Japan Series, Japan Business Mastery, and Japan's Top Business Interviews. On YouTube, he produces three weekly shows — The Cutting Edge Japan Business Show, Japan Business Mastery, and Japan's Top Business Interviews — which have become leading resources for executives seeking strategies for success in Japan.

There's suspicions speculation around Chris Luxon's future won't be subsiding, even after he firmly ruled out stepping aside. This week's Taxpayers' Union-Curia Poll has National down to 28.4 percent, with Labour able to govern alongside the Greens and Te Pati Maori. The Prime Minister's assured the public he had his MP's backing and won't be going anywhere. Taxpayers' Union Executive Director Jordan Williams says this week's been a challenging one from Chris Luxon. "The real significant event this week in terms of the election is the unexpected economic headwinds we now appear to be in - the events in the Middle East are not going to be over in a week or even a month now, it's looking to be quite a lot longer, and the implications on the New Zealand economy is certainly a challenge." Former Labour Chief of Staff Neale Jones says the speculation over Chris Luxon's political future is 'fatal' - regardless of whether or not it's true. "The problem he's got is that it's never a good thing when you have to ring up and say - I'm not resigning. I think that spoke to the crisis he was in this week." LISTEN ABOVESee omnystudio.com/listener for privacy information.

One of the biggest questions Christians have wrestled with for centuries is “if Jesus tells us to love our neighbor and turn the other cheek, how can Christians ever go to war?” Augustine addressed this in his book “City of God”. Listen in to hear his take on this issue.---------SUBSCRIBE ▶️ Receive our latest videos:https://www.youtube.com/c/PastorSteve...ABOUTPastor, author and speaker Steve Berger is known for his straight talk in dealing with various hot-topic cultural issues that many pastors avoid. In 2021, he founded Ambassador Services International with his wife, Sarah. He serves on the Executive and Pastoral Advisory Boards for Promise Keepers International, and the Jerusalem Prayer Breakfast Board, and is Pastor Emeritus of One Church Home in Fairview TN. Whether preaching or writing, in great joy or pain, Steve longs to be a proclaimer of the grace and hope that Jesus came to offer. Since June of 1987, he has been married to Sarah, the love of his life, and together, they have four beautiful children and five grandchildren.LEARN MORE

If you have ever walked into a doctor's office with real perimenopause symptoms and been told you are too young, this conversation will feel validating.In this episode, Madge Rumman, co-founder of Blair Health, shares how women can access specialist-level menopause care without waiting months for referrals or feeling dismissed in primary care. We talk about why menopause is diagnosed based on symptoms rather than blood tests, what often gets missed in traditional healthcare, and how to trust what your body is telling you.Madge also explains how Blair Health combines licensed providers with structured digital assessments and responsible AI to deliver personalized menopause treatment plans in a regulated, clinically grounded way. Beyond individual care, we explore how midlife health affects career progression, leadership pipelines, and why employers should be paying attention.This is a conversation about access, validation, and action. Whether you are navigating menopause yourself, supporting women in your workplace, or building in women's health tech, you will walk away with clarity on what to look for and what to do next.Chapters:

Jeff sits down with Joanie Baker, President of Executive Women of Lake Norman, and Kellie Grutko, the organization's Director of Communications. Together they share the story of a group that's been connecting Lake Norman's women in business since 2010 — built not around leads and referrals, but around genuine education, mentorship, and community. With monthly socials and luncheons featuring guest speakers, a growing membership back in the 30s after COVID, and a flexible (not cutthroat) seat structure, Executive Women of Lake Norman is the kind of organization you actually look forward to showing up for.If you're a woman entrepreneur, founder, or professional in the Lake Norman area, this episode is worth your time. The group is actively welcoming new members and offers sponsorship opportunities as well. Find them at executivewomenoflkn.com, on Facebook, Instagram, and LinkedIn, or reach out directly at executivewomenoflkn@gmail.com. ---------------------------------------------------------------------------------------Lake Norman's #1 Podcast & Email NewsletterThe Best of LKNhttps://thebestoflkn.com/Hosted by:Jeff Hammwww.lknreal.comThanks to Safe harbor Peninsula Yacht Club for their support!Support the show

February's jobs numbers are a disappointment, as the Labor Department reported the U.S. economy shed 92,000 jobs last month. Meanwhile, military conflict in Iran has sparked a surge in oil prices, raising concerns over how high they could go and how long the increase will last. Michael Lee, founder of Michael Lee Strategy, joins FOX Business Contributor Lou Basenese to discuss the jobs data, the Mideast conflict's impact on energy, and why investors have reasons to be optimistic despite some of the recent economic headlines. Then, Lee discusses which AI companies he's watching and why the fear of AI killing software jobs may be overblown. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Homeland Security Secretary Kristi Noem is being removed from her role following a difficult week of congressional hearings and mounting questions about her leadership. Meanwhile, military strikes on Iran continue alongside concerns on Capitol Hill over the duration of Operation Epic Fury, the extent of the President's authority to act against Iran, and energy prices. FOX News Sunday anchor Shannon Bream joins the Rundown to discuss the political fight at home over the conflict, the intelligence behind the "imminent threat" from Iran's nuclear program, and how rising energy costs could shape voter sentiment ahead of the midterms. The modern battlefield is changing, driven largely by the rise of drones. The U.S. military has deployed one-way attack drones in combat against Iran for the first time, marking a significant escalation in a conflict defined by massive drone and missile barrages. Meanwhile, U.S. forces are learning firsthand the challenges of neutralizing Iran's drone arsenal. Former Army Special Ops intelligence analyst and FOX News Contributor Brett Velicovich joins to discuss the evolution of military drone strategy, the high cost of using sophisticated interceptors against low-cost enemy tech, and the rising threat of weaponized commercial drones. Plus, commentary by Jason Rantz, Host of the Jason Rantz Show and author of “What's Killing America.” PHOTO CREDIT: ASSOCIATED PRESS Learn more about your ad choices. Visit podcastchoices.com/adchoices

Preview for Later Today: John Yoo explains the Founders' preference for a single executive, emphasizing that one commander-in-chief provides the speed and energy necessary to protect the community. (6)1789

This week marks part 1 of the Vanderpump Rules reunion! Natalie and Kim don't hash out their relationship, Venus is over Marcus for good, Andy wonders why Audrey is so angry and more!Follow me on social media, find links to merch, Patreon and more here! Hosted on Acast. See acast.com/privacy for more information.

Today's podcast begins with our pious host, Mike Slater, urging the audience to "trust God's plan" when listening to commentary about President Donald J. Trump's actions with the U.S. military as they continue their campaigns against the nation of Iran. Following that, Slater speaks to Peter Breen, Executive Vice President & Head of Litigation for Thomas More Society, about recent decisions from the United States Supreme Court related to parental rights as they relate to transgender madness within our schools. Don't miss it! MAGA! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Signal-based demand generation requires tracking the right data points. Nick Zeckets, Chief Fire Starter at Smoke Signals AI, brings expertise from two MarTech exits and building AI-first HubSpot programs. He identifies SEC filings as the most valuable signal for enterprise sales, revealing executive discussions about business risks, projections, and budget allocations. Executive hiring patterns at VP-level and above indicate strategic shifts and fresh budget priorities, while M&A activity creates 18-36 months of organizational change and new problem sets.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Joined by a 20-year veteran of Fannie Mae, Shane shares findings from his work on a proposed new model for building renter wealth: shared prosperity rental housing.Show notes:Phillips, S. (2025). Building Renter Wealth: An Evaluation of Shared Prosperity Rental (SPR) Housing Program Design and Feasibility. UCLA Lewis Center for Regional Policy Studies.Executive summary for the SPR report.Shane's 2021 article in The Atlantic, “Renting is Terrible, Owning is Worse.”Shane's blog posts preceding and following the article in The Atlantic.Monkkonen, P., Carlton, I., & Macfarlane, K. (2020). One to four: The market potential of fourplexes in California's single-family neighborhoods. UCLA Lewis Center for Regional Policy Studies.The Multifamily Impact Council's Multifamily Impact Framework.Enterprise Community Partners' Renter Wealth Creation Fund website.Colorado Renter Rewards program website.

BuffStampede.com publisher Adam Munsterteiger catches up with forever Buff Scotty McKnight, who played at CU between 2006-10. He was the 10th player in NCAA history to catch at least one pass in every game he appeared in. McKnight later spent time in the NFL with the New York Jets before injuries forced him to hang up his cleats and begin a career in Holleywood. McKnight has followed Colorado redshirt freshman quarterback Julian “JuJu” Lewis with his GOAT Farm Sports media company for years now. McKnight spoke about that relationship, his background with the Buffs, and more, in a special edition of BuffStampede Radio.

https://www.coachingforrelevance.com/ https://www.amazon.com/Bring-Freedom-Potential-Overcoming-Soaring-ebook/dp/B0D3BVD1GY/ref=sr_1_1?crid=3TGTLR44A8JNT&dib=eyJ2IjoiMSJ9.-tS4GlU7CqiCwISeIYoHV_Y1sqCG5MioC8ZbYLo38kAM8A2JPTUFRLp0iE4NntW0HsVqZEHupeHX2wieWWjUPbxo39Cw3mao9Hiv4MHq03zLyylIvKZWDVc9SulEwcwXh1mAiMAHexLsWrS2wJnVjgxLpv0wOi4JQIVoWW4h4aYYk509fMxo880flRWiHCF3ldphFkuTU5Ym8NNNjosdDsuoj04Mr3mU8L-niN4409w.v9J0csZcatbaAlDEgPY0pVS3lXV2XahICl8-gkpNayU&dib_tag=se&keywords=randy+swaim&qid=1715269499&sprefix=randy+swai%2Caps%2C312&sr=8-1 Listen to us live on mytuner-radio, onlineradiobox, fmradiofree.com and streema.com (the simpleradio app)https://onlineradiobox.com/search?cs=us.pbnnetwork1&q=podcast%20business%20news%20network&c=ushttps://mytuner-radio.com/search/?q=business+news+networkhttps://www.fmradiofree.com/search?q=professional+podcast+networkhttps://streema.com/radios/search/?q=podcast+business+news+network

Senior executives at JPMorgan Chase continued to meet with Jeffrey Epstein years after the bank said it had cut him off as a client in 2013, according to reporting based on internal documents and people familiar with the matter. Bankers, including one named Justin Nelson, held about half a dozen meetings with Epstein at his Manhattan townhouse between 2014 and 2017, even though JPMorgan had formally ended its banking relationship with him. Some of those meetings involved discussions about other clients or introductions Epstein could make, rather than direct financial dealings, but they demonstrate that contact between the disgraced financier and bank personnel continued long after the official split.The disclosures have fueled broader questions about how deeply Epstein's network remained embedded with Wall Street institutions and whether JPMorgan's review and severing of ties in 2013 reflected the full scope of its engagement. While the bank maintains it ended the relationship and has denied prior wrongdoing, the continued interactions with Epstein and other executives' past contacts with him have become part of ongoing litigation and scrutiny over whether the bank appropriately handled red flags associated with Epstein's conduct.to contact me:bobbycapucci@protonmail.com

The reception to our recent post on Code Reviews has been strong. Catch up!Amid a maelstrom of discussion on whether or not AI is killing SaaS, one of the top publicly listed SaaS companies in the world has just reported record revenues, clearing well over $1.1B in ARR for the first time with a 28% margin. As we comment on the pod, Aaron Levie is the rare public company CEO equally at home in both worlds of Silicon Valley and Wall Street/Main Street, by day helping 70% of the Fortune 500 with their Enterprise Advanced Suite, and yet by night is often found in the basements of early startups and tweeting viral insights about the future of agents.Now that both Cursor, Cloudflare, Perplexity, Anthropic and more have made Filesystems and Sandboxes and various forms of “Just Give the Agent a Box” cool (not just cool; it is now one of the single hottest areas in AI infrastructure growing 100% MoM), we find it a delightfully appropriate time to do the episode with the OG CEO who has been giving humans and computers Boxes since he was a college dropout pitching VCs at a Michael Arrington house party.Enjoy our special pod, with fan favorite returning guest/guest cohost Jeff Huber!Note: We didn't directly discuss the AI vs SaaS debate - Aaron has done many, many, many other podcasts on that, and you should read his definitive essay on it. Most commentators do not understand SaaS businesses because they have never scaled one themselves, and deeply reflected on what the true value proposition of SaaS is.We also discuss Your Company is a Filesystem:We also shoutout CTO Ben Kus' and the AI team, who talked about the technical architecture and will return for AIE WF 2026.Full Video EpisodeTimestamps* 00:00 Adapting Work for Agents* 01:29 Why Every Agent Needs a Box* 04:38 Agent Governance and Identity* 11:28 Why Coding Agents Took Off First* 21:42 Context Engineering and Search Limits* 31:29 Inside Agent Evals* 33:23 Industries and Datasets* 35:22 Building the Agent Team* 38:50 Read Write Agent Workflows* 41:54 Docs Graphs and Founder Mode* 55:38 Token FOMO Culture* 56:31 Production Function Secrets* 01:01:08 Film Roots to Box* 01:03:38 AI Future of Movies* 01:06:47 Media DevRel and EngineeringTranscriptAdapting Work for AgentsAaron Levie: Like you don't write code, you talk to an agent and it goes and does it for you, and you may be at best review it. That's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work.We basically adapted to how the agent works. All of the economy has to go through that exact same evolution. Right now, it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this ‘cause you'll see compounding returns. But that's just gonna take a while for most companies to actually go and get this deployed.swyx: Welcome to the Lane Space Pod. We're back in the chroma studio with uh, chroma, CEO, Jeff Hoover. Welcome returning guest now guest host.Aaron Levie: It's a pleasure. Wow. How'd you get upgraded to, uh, to that?swyx: Because he's like the perfect guy to be guest those for you.Aaron Levie: That makes sense actually, for We love context. We, we both really love context le we really do.We really do.swyx: Uh, and we're here with, uh, Aaron Levy. Welcome.Aaron Levie: Thank you. Good to, uh, good to be [00:01:00] here.swyx: Uh, yeah. So we've all met offline and like chatted a little bit, but like, it's always nice to get these things in person and conversation. Yeah. You just started off with so much energy. You're, you're super excited about agents.I loveAaron Levie: agents.swyx: Yeah. Open claw. Just got by, got bought by OpenAI. No, not bought, but you know, you know what I mean?Aaron Levie: Some, some, you know, acquihire. Executiveswyx: hire.Aaron Levie: Executive hire. Okay. Executive hire. Say,swyx: hey, that's my term. Okay. Um, what are you pounding the table on on agents? You have so many insightful tweets.Why Every Agent Needs a BoxAaron Levie: Well, the thing that, that we get super excited by that I think is probably, you know, should be relatively obvious is we've, we've built a platform to help enterprises manage their files and their, their corporate files and the permissions of who has access to those files and the sharing collaboration of those files.All of those files contain really, really important information for the enterprise. It might have your contracts, it might have your research materials, it might have marketing information, it might have your memos. All that data obviously has, you know, predominantly been used by humans. [00:02:00] But there's been one really interesting problem, which is that, you know, humans only really work with their files during an active engagement with them, and they kind of go away and you don't really see them for a long time.And all of a sudden, uh, with the power of AI and AI agents, all of that data becomes extremely relevant as this ongoing source of, of answers to new questions of data that will transform into, into something else that, that produces value in your organization. It, it contains the answer to the new employee that's onboarding, that needs to ramp up on a project.Um, it contains the answer to the right thing to sell a customer when you're having a conversation to them, with them contains the roadmap information that's gonna produce the next feature. So all that data. That previously we've been just sort of storing and, and you know, occasionally forgetting about, ‘cause we're only working on the new active stuff.All of that information becomes valuable to the enterprise and it's gonna become extremely valuable to end users because now they can have agents go find what they're looking for and produce new, new [00:03:00] value and new data on that information. And it's gonna become incredibly valuable to agents because agents can roam around and do a bunch of work and they're gonna need access to that data as well.And um, and you know, sometimes that will be an agent that is sort of working on behalf of, of, of you and, and effectively as you as and, and they are kind of accessing all of the same information that you have access to and, and operating as you in the system. And then sometimes there's gonna be agents that are just.Effectively autonomous and kind of run on their own and, and you're gonna collaborate and work with them kind of like you did another person. Open Claw being the most recent and maybe first real sort of, you know, kind of, you know, up updating everybody's, you know, views of this landscape version of, of what that could look like, which is, okay, I have an agent.It's on its own system, it's on its own computer, it has access to its own tools. I probably don't give it access to my entire life. I probably communicate with it like I would an assistant or a colleague and then it, it sort of has this sandbox environment. So all of that has massive implications for a platform that manage that [00:04:00] enterprise data.We think it's gonna just transform how we work with all of the enterprise content that we work with, and we just have to make sure we're building the right platform to support that.swyx: The sort of shorthand I put it is as people build agents, everybody's just realizing that every agent needs a box. Yes.And it's nice to be called box and just give everyone a box.Aaron Levie: Hey, I if I, you know, if we can make that go viral, uh, like I, I think that that terminology, I, that's theswyx: tagline. Every agentAaron Levie: needs a box. Every agent needs a box. If we can make that the headline of this, I'm fine with this. And that's the billboard I wanna like Yeah, exactly.Every agent needs a box. Um, I like it. Can we ship this? Like,swyx: okay, let's do it. Yeah.Aaron Levie: Uh, my work here is done and I got the value I needed outta this podcast Drinks.swyx: Yeah.Agent Governance and IdentityAaron Levie: But, but, um, but, but, you know, so the thing that we, we kind of think about is, um, is, you know, whether you think the number 10 x or a hundred x or whatever the number is, we're gonna have some order of magnitude more agents than people.That's inevitable. It has to happen. So then the question is, what is the infrastructure that's needed to make all those agents effective in the enterprise? Make sure that they are well governed. Make sure they're only doing [00:05:00] safe things on your information. Make sure that they're not getting exposed. The data that they shouldn't have access to.There's gonna be just incredibly spectacularly crazy security incidents that will happen with agents because you'll prompt, inject an agent and sort of find your way through the CRM system and pull out data that you shouldn't have access to. Oh, weJeff Huber: have God,Aaron Levie: right? I mean, that's just gonna happen all over the place, right?So, so then the thing is, is how do you make sure you have the right security, the permissions, the access controls, the data governance. Um, we actually don't yet exactly know in many cases how we're gonna regulate some of these agents, right? If you think about an agent in financial services, does it have the exact same financial sort of, uh, requirements that a human did?Or is it, is the risk fully on the human that was interacting or created the agent? All open questions, but no matter what, there's gonna need to be a layer that manages the, the data they have access to, the workflows that they're involved in, pulling up data from multiple systems. This is the new infrastructure opportunity in the era of agents.swyx: You have a piece on agent identities, [00:06:00] which I think was today, um, which I think a lot of breaking news, the security, security people are talking about, right? Like you basically, I, I always think of this as like, well you need the human you and then there you need the agent. YouAaron Levie: Yes.swyx: And uh, well, I don't know if it's that simple, but is box going to have an opinion on that or you're just gonna be like, well we're just the sort of the, the source layer.Yeah. Let's Okta of zero handle that.Aaron Levie: I think we're gonna have an opinion and we will work with generally wherever the contours of the market end up. Um, and the reason that we're gonna have an opinion more than other topics probably is because one of the biggest use cases for why your agent might need it, an identity is for file system access.So thus we have to kind of think about this pretty deeply. And I think, uh, unless you're like in our world thinking about this particular problem all day long, it might be, you know, like, why is this such a big deal? And the reason why it's a really big deal is because sometimes sort of say, well just give the agent an, an account on the system and it just treats, treat it like every other type of user on the system.The [00:07:00] problem is, is that I as Aaron don't really have any responsibility over anybody else's box account in our organization. I can't see the box account of any other employee that I work with. I am not liable for anything that they do. And they have, I have, I have, you know, strict privacy requirements on everything that they're able to, you know, that, that, that they work on.Agents don't have that, you know, don't have those properties. The person who creates the agent probably is gonna, for the foreseeable future, take on a lot of the liability of what that agent does. That agent doesn't deserve any privacy because, because it's, you know, it can't fully be autonomously operated and it doesn't have any legal, you know, kind of, you know, responsibility.So thus you can't just be like, oh, well I'll just create a bunch of accounts and then I'll, I'll kind of work with that agent and I'll talk to it occasionally. Like you need oversight of that. And so then the question is, how do you have a world where the agent, sometimes you have oversight of, but what if that agent goes and works with other people?That person over there is collaborating with the agent on something you shouldn't have [00:08:00] access to what they're doing. So we have all of these new boundaries that we're gonna have to figure out of, of, you know, it's really, really easy. So far we've been in, in easy mode. We've hit the easy button with ai, which is the agent just is you.And when you're in quad code and you're in cursor, and you're in Codex, you're just, the agent is you. You're offing into your services. It can do everything you can do. That's the easy mode. The hard mode is agents are kind of running on their own. People check in with them occasionally, they're doing things autonomously.How do you give them access to resources in the enterprise and not dramatically increased the security risk and the risk that you might expose the wrong thing to somebody. These are all the new problems that we have to get solved. I like the identity layer and, and identity vendors as being a solution to that, but we'll, we'll need some opinions as well because so many of the use cases are these collaborative file system use cases, which is how do I give it an agent, a subset of my data?Give it its own workspace as well. ‘cause it's gonna need to store off its own information that would be relevant for it. And how do I have the right oversight into that? [00:09:00]Jeff Huber: One thing, which, um, I think is kind interesting, think about is that you know, how humans work, right? Like I may not also just like give you access to the whole file.I might like sit next to you and like scroll to this like one part of the file and just show you that like one part and like, you know,swyx: partial file access.Jeff Huber: I'm just saying I think like our, like RA does seem to be dead, right? Like you wanna say something is dead uhhuh probably RA is dead. And uh, like the auth story to me seems like incredibly unsolved and unaddressed by like the existing state of like AI vendors.ButAaron Levie: yeah, I think, um, we're, I mean you're taking obviously really to level limit that we probably need to solve for. Yeah. And we built an access control system that was, was kind of like, you know, its own little world for, for a long time. And um, and the idea was this, it's a many to many collaboration system where I can give you any part of the file system.And it's a waterfall model. So if I give you higher up in the, in the, in the system, you get everything below. And that, that kind of created immense flexibility because I can kind of point you to any layer in the, in the tree, but then you're gonna get access to everything kind of below it. And that [00:10:00] mostly is, is working in this, in this world.But you do have to manage this issue, which is how do I create an agent that has access to some of my stuff and somebody else's stuff as well. Mm-hmm. And which parts do I get to look at as the creator of the agent? And, and these are just brand new problems? Yeah. Crazy. And humans, when there was a human there that was really easy to do.Like, like if the three of us were all sharing, there'd be a Venn diagram where we'd have an overlapping set of things we've shared, but then we'd have our own ways that we shared with each other. In an agent world, somebody needs to take responsibility for what that agent has access to and what they're working on.These are like the, some of the most probably, you know, boring problems for 98% of people on, on the internet, but they will be the problems that are the difference between can you actually have autonomous agents in an enterprise contextswyx: Yeah.Aaron Levie: That are not leaking your data constantly.swyx: No. Like, I mean, you know, I run a very, very small company for my conference and like we already have data sensitivity issues.Yes. And some of my team members cannot see Yes. Uh, the others and like, I can't imagine what it's like to run a Fortune 500 and like, you have to [00:11:00] worry about this. I'm just kinda curious, like you, you talked to a lot like, like 70, 80% of your cus uh, of the Fortune 500, your customers.Aaron Levie: Yep. 67%. Just so we're being verySEswyx: precise.So Yeah. I'm notAaron Levie: Okay. Okay.swyx: Something I'm rounding up. Yes. Round up. I'm projecting to, forAaron Levie: the government.swyx: I'm projecting to the end of the year.Aaron Levie: Okay.swyx: There you go.Aaron Levie: You do make it sound like, like we, we, well we've gotta be on this. Like we're, we're taking way too long to get to 80%. Well,swyx: no, I mean, so like. How are they approaching it?Right? Because you're, you don't have a, you don't have a final answer yet.Why Coding Agents Took Off FirstAaron Levie: Well, okay, so, so this is actually, this is the stark reality that like, unfortunately is the kinda like pouring the water on the party a little bit.swyx: Yes.Aaron Levie: We all in Silicon Valley are like, have the absolute best conditions possible for AI ever.And I think we all saw the dke, you know, kind of Dario podcast and this idea of AI coding. Why is that taken off? And, and we're not yet fully seeing it everywhere else. Well, look, if you just like enumerated the list of properties that AI coding has and then compared it to other [00:12:00] knowledge work, let's just, let's just go through a few of them.Generally speaking, you bring on a new engineer, they have access to a large swath of the code base. Like, there's like very, like you, just, like new engineer comes on, they can just go and find the, the, the stuff that they, they need to work with. It's a fully text in text out. Medium. It's only, it's just gonna be text at the end of the day.So it's like really great from a, from just a, uh, you know, kinda what the agent can work with. Obviously the models are super trained on that dataset. The labs themselves have a really strong, kind of self-reinforcing positive flywheel of why they need to do, you know, agent coding deeply. So then you get just better tooling, better services.The actual developers of the AI are daily users of the, of the thing that they're we're working on versus like the, you know, probably there's only like seven Claude Cowork legal plugin users at Anthropic any given day, but there's like a couple thousand Claude code and you know, users every single day.So just like, think about which one are they getting more feedback on. All day long. So you just go through this list. You have a, you know, everybody who's a [00:13:00] developer by definition is technical so they can go install the latest thing. We're all generally online, or at least, you know, kinda the weird ones are, and we're all talking to each other, sharing best practices, like that's like already eight differences.Versus the rest of the economy. Every other part of the economy has like, like six to seven headwinds relative to that list. You go into a company, you're a banker in financial services, you have access to like a, a tiny little subset of the total data that's gonna be relevant to do your job. And you're have to start to go and talk to a bunch of people to get the right data to do your job because Sally didn't add you to that deal room, you know, folder.And that that, you know, the information is actually in a completely different organization that you now have to go in and, and sort of run into. And it's like you have this endless list of access controls and security. As, as you talked about, you have a medium, which is not, it's not just text, right? You have, you have a zoom call that, that you're getting all of the requirements from the customer.You have a lot of in-person conversations and you're doing in-person sales and like how do you ever [00:14:00] digitize all of that information? Um, you know, I think a lot of people got upset with this idea that the code base has all the context, um, that I don't know if you follow, you know, did you follow some of that conversation that that went viral?Is like, you know, it's not that simple that, that the code base doesn't have all the knowledge, but like it's a lot, you're a lot better off than you are with other areas of knowledge work. Like you, we like, we like have documentation practices, you write specifications. Those things don't exist for like 80% of work that happens in the enterprise.That's the divide that we have, which is, which is AI coding has, has just fully, you know, where we've reached escape velocity of how powerful this stuff is, and then we're gonna have to find a way to bring that same energy and momentum, but to all these other areas of knowledge work. Where the tools aren't there, the data's not set up to be there.The access controls don't make it that easy. The context engineering is an incredibly hard problem because again, you have access control challenges, you have different data formats. You have end users that are gonna need to kind of be kind of trained through this as opposed to their adopting [00:15:00] these tools in their free time.That's where the Fortune 500 is. And so we, I think, you know, have to be prepared as an industry where we are gonna be on a multi-year march to, to be able to bring agents to the enterprise for these workflows. And I think probably the, the thing that we've learned most in coding that, that the rest of the world is not yet, I think ready for, I mean, we're, they'll, they'll have to be ready for it because it's just gonna inevitably happen is I think in coding.What, what's interesting is if you think about the practice of coding today versus two years ago. It's probably the most changed workflow in maybe the history of time from the amount of time it's changed, right? Yeah. Like, like has any, has any workflow in the entire economy changed that quickly in terms of the amount of change?I just, you know, at least in any knowledge worker workflow, there's like very rarely been an event where one piece of technology and work practice has so fundamentally, you know, changed, changed what you do. Like you don't write code, you talk to an agent and it goes and [00:16:00] does it for you, and you may be at best review it.And even that's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work. We basically adapted to how the agent works. Mm-hmm. All of the economy has to go through that exact same evolution.The rest of the economy is gonna have to update its workflows to make agents effective. And to give agents the context that they need and to actually figure out what kind of prompting works and to figure out how do you ensure that the agent has the right access to information to be able to execute on its work.I, you know, this is not the panacea that people were hoping for, of the agent drops in, just automates your life. Like you have to basically re-engineer your workflow to get the most out of agents and, uh, and that, that's just gonna take, you know, multiple years across the economy. Right now it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this.‘cause [00:17:00] you'll see compounding returns, but that's just gonna take a while for most companies to actually go and get this deployed.swyx: I love, I love pushing back. I think that. That is what a lot of technology consultants love to hear this sort of thing, right? Yeah, yeah, yeah. First to, to embrace the ai. Yes. To get to the promised land, you must pay me so much money to a hundred percent to adopt the prescribed way of, uh, conforming to the agents.Yes. And I worry that you will be eclipsed by someone else who says, no, come as you are.Aaron Levie: Yeah.swyx: And we'll meet you where you are.Aaron Levie: And, and, and and what was the thing that went viral a week ago? OpenAI probably, uh, is hiring F Dees. Yeah. Uh, to go into the enterprise. Yeah. Yeah. And then philanthropic is embedded at Goldman Sachs.Yeah. So if the labs are having to do this, if, if the labs have decided that they need to hire FDE and professional services, then I think that's a pretty clear indication that this, there's no easy mode of workflow transformation. Yeah. Yeah. So, so to your point, I think actually this is a market opportunity for, you know, new professional services and consulting [00:18:00] firms that are like Agent Build and they, and they kind of, you know, go into organizations and they figure out how to re-engineer your workflows to make them more agent ready and get your data into the right format and, you know, reconstruct your business process.So you're, you're not doing most of the work. You're telling agents how to do the work and then you're reviewing it. But I haven't seen the thing that can just drop in and, and kinda let you not go through those changes.swyx: I don't know how that kind of sales pitch goes over. Yeah. You know, you're, you're saying things like, well, in my sort of nice beautiful walled garden, here's, there's, uh, because here's this, here's this beautiful box account that has everything.Yes. And I'm like, well, most, most real life is extremely messy. Sure. And like, poorly named and there duplicate this outdated s**tAaron Levie: a hundred percent. And so No, no, a hundred percent. And so this is actually No. So, so this is, I mean, we agree that, that getting to the beautiful garden is gonna be tough.swyx: Yeah.Aaron Levie: There's also the other end of the spectrum where I, I just like, it's a technical impossibility to solve. The agent is, is truly cannot get enough context to make the right decision in, in the, in the incredibly messy land. Like there's [00:19:00] no a GI that will solve that. So, so we're gonna have to kind of land in somewhere in between, which is like we all collectively get better at.Documentation practices and, and having authoritative relatively up-to-date information and putting it in the right place like agents will, will certainly cause us to be much better organized around how we work with our information, simply because the severity of the agent pulling the wrong data will be too high and the productivity gain of that you'll miss out on by not doing this will be too high as well, that you, that your competition will just do it and they'll just have higher velocity.So, uh, and, and we, we see this a lot firsthand. So we, we build a series of agents internally that they can kind of have access to your full box account and go off and you give it a task and it can go find whatever information you're looking for and work with. And, you know, thank God for the model progress, but like, if, if you gave that task to an agent.Nine months ago, you're just gonna get lots of bogus answers because it's gonna, it's gonna say, Hey, here's, here are fi [00:20:00] five, you know, documents that all kind of smell like the right thing. And I'm gonna, but I, but you're, you're putting me on the clock. ‘cause my assistant prompt says like, you know, be pretty smart, but also try and respond to the user and it's gonna respond.And it's like, ah, it got the wrong document. And then you do that once or twice as a knowledge worker and you're just neverswyx: again,Aaron Levie: never again. You're just like done with the system.swyx: Yeah. It doesn't work.Aaron Levie: It doesn't work. And so, you know, Opus four six and Gemini three one Pro and you know, whatever the latest five 3G BT will be, like, those things are getting better and better and it's using better judgment.And this sort of like the, all of these updates to the agentic tool and search systems are, are, we're seeing, we're seeing very real progress where the agent. Kind of can, can almost smell some things a little bit fishy when it's getting, you know, we, we have this process where we, we have it go fan out, do a bunch of searches, pull up a bunch of data, and then it has to sort of do its own ranking of, you know, what are the right documents that, that it should be working with.And again, like, you know, the intelligence level of a model six months ago, [00:21:00] it'd be just throwing a dart at like, I'm just, I'm gonna grab these seven files and I, I pray, I hope that that's the right answer. And something like an opus first four five, and now four six is like, oh, it's like, no, that one doesn't seem right relative to this question because I'm seeing some signal that is making that, you know, that's contradicting the document where it would normally be in the tree and who should have access.Like it's doing all of that kind of work for you. But like, it still doesn't work if you just have a total wasteland of data. Like, it's just not, it's just not possible. Partly ‘cause a human wouldn't even be able to do it. So basically if a, if a really, really smart human. Could not do that task in five or 10 minutes for a search retrieval type task.Look, you know, your agent's not gonna be able to do it any better. You see this all day long. SoContext Engineering and Search Limitsswyx: this touches on a thing that just passionate about it was just context engineering. I, I'm just gonna let you ramble or riff on, on context engineering. If, if, if there's anything like he, he did really good work on context fraud, which has really taken over as like the term that people use and the referenceAaron Levie: a hundred percent.We, we all we think about is, is the context rob problem. [00:22:00]Jeff Huber: Yeah, there's certainly a lot of like ranking considerations. Gentech surgery think is incredibly promising. Um, yeah, I was trying to generate a question though. I think I have a question right now. Swyx.Aaron Levie: Yeah, no, but like, like I think there was this moment, um, you know, like, I don't know, two years ago before, before we knew like where the, the gotchas were gonna be in ai and I think someone was like, was like, well, infinite context windows will just solve all of these problems and ‘cause you'll just, you'll just give the context window like all the data and.It's just like, okay, I mean, maybe in 2035, like this is a viable solution. First of all, it, it would just, it would just simply cost too much. Like we just can't give the model like the 5,000 documents that might be relevant and it's gonna read them all. And I've seen enough to, to start believing in crazy stuff.So like, I'm willing to just say, sure. Like in, in 10 years from now,swyx: never say, never, never.Aaron Levie: In, in 10 years from now, we'll have infinite context windows at, at a thousandth of the price of today. Like, let's just like believe that that's possible, but Right. We're in reality today. So today we have a context engineering [00:23:00] problem, which is, I got, I got, you know, 200,000 tokens that I can work with, or prob, I don't even know what the latest graph is before, like massive degradation.16. Okay. I have 60,000 tokens that I get to work with where I'm gonna get accurate information. That's not a lot of tokens for a corpus of 10 million documents that a knowledge worker might have across all of the teams and all the projects and all the people they work with. I have, I have 10 million documents.Which, you know, maybe is times five pages per document or something like that. I'm at 50 million pages of information and I have 60,000 tokens. Like, holy s**t. Yeah. This is like, how do I bridge the 50 million pages of information with, you know, the couple hundred that I get to work with in that, in that token window.Yeah. This is like, this is like such an interesting problem and that's why actually so much work is actually like, just like search systems and the databases and that layer has to just get so locked in, but models getting better and importantly [00:24:00] knowing when they've done a search, they found the wrong thing, they go back, they check their work, they, they find a way to balance sort of appeasing the user versus double checking.We have this one, we have this one test case where we ask the agent to go find. 10 pieces of information.swyx: Is this the complex work eval?Aaron Levie: Uh, this is actually not in the eval. This is, this is sort of just like we have a bunch of different, we have a bunch of internal benchmark kind of scenarios. Every time we, we update our agent, we have one, which is, I ask it to find all of our office addresses, and I give it the list of 10 offices that we have.And there's not one document that has this, maybe there should be, that would be a great example of the kind of thing that like maybe over time companies start to, you know, have these sort of like, what are the canonical, you know, kind of key areas of knowledge that we need to have. We don't seem to have this one document that says, here are all of our offices.We have a bunch of documents that have like, here's the New York office and whatever. So you task this agent and you, you get, you say, I need the addresses for these 10 offices. Okay. And by the way, if you do this on any, you know, [00:25:00] public chat model, the same outcome is gonna happen. But for a different kind of query, you give it, you say, I need these 10 addresses.How many times should the agent go and do its search before it decides whether or not, there's just no answer to this question. Often, and especially the, the, let's say lower tier models, it'll come back and it'll give you six of the 10 addresses. And it'll, and I'll just say I couldn't find the otherswyx: four.It, it doesn't know what It doesn't know. ItAaron Levie: doesn't know what It doesn't know. Yeah. So the model is just like, like when should it stop? When should it stop doing? Like should it, should it do that task for literally an hour and just keep cranking through? Maybe I actually made up an office location and it doesn't know that I made it up and I didn't even know that I made it up.Like, should it just keep, re should it read every single file in your entire box account until it, until it should exhaust every single piece of information.swyx: Expensive.Aaron Levie: These are the new problems that we have. So, you know, something like, let's say a new opus model is sort of like, okay, I'm gonna try these types of queries.I didn't get exactly what I wanted. I'm gonna try again. I'm gonna, at [00:26:00] some point I'm gonna stop searching. ‘cause I've determined that that no amount of searching is gonna solve this problem. I'm just not able to do it. And that judgment is like a really new thing that the model needs to be able to have.It's like, when should it give up on a task? ‘cause, ‘cause you just don't, it's a can't find the thing. That's the real world of knowledge, work problems. And this is the stuff that the coding agents don't have to deal with. Because they, it just doesn't like, like you're not usually asking it about, you're, you're always creating net new information coming right outta the model for the most part.Obviously it has to know about your code base and your specs and your documentation, but, but when you deploy an agent on all of your data that now you have all of these new problems that you're dealing withJeff Huber: our, uh, follow follow-up research to context ride is actually on a genetic search. Ah. Um, and we've like right, sort of stress tested like frontier models and their ability to search.Um, and they're not actually that good at searching. Right. Uh, so you're sort of highlighting this like explore, exploit.swyx: You're just say, Debbie, Donna say everything doesn't work. Like,Aaron Levie: well,Jeff Huber: somebody has to be,Aaron Levie: um, can I just throw out one more thing? Yeah. That is different from coding and, and the rest [00:27:00] of the knowledge work that I, I failed to mention.So one other kind of key point is, is that, you know, at the end of the day. Whether you believe we're in a slop apocalypse or, or whatever. At the end of the day, if you, if you build a working product at the end of, if you, if you've built a working solution that is ultimately what the customer is paying for, like whether I have a lot of slop, a little slop or whatever, I'm sure there's lots of code bases we could go into in enterprise software companies where it's like just crazy slop that humans did over a 20 year period, but the end customer just gets this little interface.They can, they can type into it, it does its thing. Knowledge work, uh, doesn't have that property. If I have an AI model, go generate a contract and I generate a contract 20 times and, you know, all 20 times it's just 3% different and like that I, that, that kind of lop introduces all new kinds of risk for my organization that the code version of that LOP didn't, didn't introduce.These are, and so like, so how do you constrain these models to just the part that you want [00:28:00] them to work on and just do the thing that you want them to do? And, and, you know, in engineering, we don't, you can't be disbarred as an engineer, but you could be disbarred as a lawyer. Like you can do the wrong medical thing In healthcare, you, there's no, there's no equivalent to that of engineering.Like, doswyx: you want there to be, because I've considered softwareJeff Huber: engineer. What's that? Civil engineering there is, right? NotAaron Levie: software civil engineer. Sure. Oh yeah, for sure. But like in any of our companies, you like, you know, you'll be forgiven if you took down the site and, and we, we will do a rollback and you'll, you'll be in a meeting, but you have not been disbarred as an engineer.We don't, we don't change your, you know, your computer science, uh, blameJeff Huber: degree, this postmortem.Aaron Levie: Yeah, exactly. Exactly. So, so, uh, now maybe we collectively as an industry need to figure out like, what are you liable for? Not legally, but like in a, in a management sense, uh, of these agents. All sorts of interesting problems that, that, that, uh, that have to come out.But in knowledge work, that's the real hostile environments that we're operating in. Hmm.swyx: I do think like, uh, a lot of the last year's, 2025 story was the rise of coding agents and I think [00:29:00] 2026 story is definitely knowledge work agents. Yes. A hundredAaron Levie: percent.swyx: Right. Like that would, and I think open claw core work are just the beginning.Yes. Like it's, the next one's gonna just gonna be absolute craziness.Aaron Levie: It it is. And, and, uh, and it's gonna be, I mean, again, like this is gonna be this, this wave where we, we are gonna try and bring as many of the practices from coding because that, that will clearly be the forefront, which is tell an agent to go do something and has an access to a set of resources.You need to be responsible for reviewing it at the end of the process. That to me is the, is the kind of template that I just think goes across knowledge, work and odd. Cowork is a great example. Open Closet's a great example. You can kind of, sort of see what Codex could become over time. These are some, some really interesting kind of platforms that are emerging.swyx: Okay. Um, I wanted to, we touched on evals a little bit. You had, you had the report that you're gonna go bring up and then I was gonna go into like, uh, boxes, evals, but uh, go ahead. Talk about your genetic search thing.Jeff Huber: Yeah. Mostly I think kinda a few of the insights. It's like number one frontier model is not good at search.Humans have this [00:30:00] natural explore, exploit trade off where we kinda understand like when to stop doing something. Also, humans are pretty good at like forgetting actually, and like pruning their own context, whereas agents are not, and actually an agent in their kind of context history, if they knew something was bad and they even, you could see in the trace the reason you trace, Hey, that probably wasn't a good idea.If it's still in the trace, still in the context, they'll still do it again. Uhhuh. Uh, and so like, I think pruning is also gonna be like, really, it's already becoming a thing, right? But like, letting self prune the con windowsswyx: be a big deal. Yeah. So, so don't leave the mistake. Don't leave the mistake in there.Cut out the mistake but tell it that you made a mistake in the past and so it doesn't repeat it.Jeff Huber: Yeah. But like cut it out so it doesn't get like distracted by it again. ‘cause really, you know, what is so, so it will repeat its mistake just because it's been, it's inswyx: theJeff Huber: context. It'sAaron Levie: in the context so much.That's a few shot example. Even if it, yeah.Jeff Huber: It's like oh thisAaron Levie: is a great thing to go try even ifJeff Huber: it didn't work.Aaron Levie: Yeah,Jeff Huber: exactly.Aaron Levie: SoJeff Huber: there's like a bunch of stuff there. JustAaron Levie: Groundhogs Day inside these models. Yeah. I'm gonna go keep doing the same wrongJeff Huber: thing. Covering sense. I feel like, you know, some creator analogy you're trying like fit a manifold in latent space, which kind is doing break program synthesis, which is kinda one we think about we're doing right.Like, you know, certain [00:31:00] facts might be like sort of overly pitting it. There are certain, you know, sec sectors of latent space and so like plug clean space. Yeah. And, uh, andswyx: so we have a bell, our editor as a bell every time you say that. SoJeff Huber: you have, you have to like remove those, likeswyx: you shoulda a gong like TPN or something.IfJeff Huber: we gong, you either remove those links to like kinda give it the freedom, kind of do what you need to do. So, but yeah. We'll, we'll release more soon. That'sAaron Levie: awesome.Jeff Huber: That'll, that'll be cool.swyx: We're a cerebral podcast that people listen to us and, and sort of think really deep. So yeah, we try to keep it subtle.Okay. We try to keep it.Aaron Levie: Okay, fine.Inside Agent Evalsswyx: Um, you, you guys do, you guys do have EVs, you talked about your, your office thing, but, uh, you've been also promoting APEX agents and complex work. Uh, yeah, whatever you, wherever you wanna take this just Yeah. How youAaron Levie: Apex is, is obviously me, core's, uh, uh, kind of, um, agent eval.We, we supported that by sort of. Opening up some data for them around how we kind of see these, um, data workspaces in, in the, you know, kind of regular economy. So how do lawyers have a workspace? How do investment bankers have a workspace? What kind of data goes into those? And so we, [00:32:00] we partner with them on their, their apex eval.Our own, um, eval is, it's actually relatively straightforward. We have a, a set of, of documents in a, in a range of industries. We give the agent previously did this as a one shot test of just purely the model. And then we just realized we, we need to, based on where everything's going, it's just gotta be more agentic.So now it's a bit more of a test of both our harness and the model. And we have a rubric of a set of things that has to get right and we score it. Um, and you're just seeing, you know, these incredible jumps in almost every single model in its own family of, you know, opus four, um, you know, sonnet four six versus sonnet four five.swyx: Yeah. We have this up on screen.Aaron Levie: Okay, cool. So some, you're seeing it somewhere like. I, I forget the to, it was like 15 point jump, I think on the main, on the overall,swyx: yes.Aaron Levie: And it's just like, you know, these incredible leaps that, that are starting to happen. Um,swyx: and OP doesn't know any, like any, it's completely held out from op.Aaron Levie: This is not in any, there's no public data which has, you know, Ben benefits and this is just a private eval that we [00:33:00] do, and then we just happen to show it to, to the world. Hmm. So you can't, you can't train against it. And I think it's just as representative of. It's obviously reasoning capabilities, what it's doing at, at, you know, kind of test time, compute capabilities, thinking levels, all like the context rot issues.So many interesting, you know, kind of, uh, uh, capabilities that are, that are now improvingswyx: one sector that you have. That's interesting.Industries and Datasetsswyx: Uh, people are roughly familiar with healthcare and legal, but you have public sector in there.Aaron Levie: Yeah.swyx: Uh, what's that? Like, what, what, what is that?Aaron Levie: Yeah, and, and we actually test against, I dunno, maybe 10 industries.We, we end up usually just cutting a few that we think have interesting gains. All extras, won a lot of like government type documents. Um,swyx: what is that? What is it? Government type documents?Aaron Levie: Government filings. Like a taxswyx: return, likeAaron Levie: a probably not tax returns. It would be more of what would go the government be using, uh, as data.So, okay. Um, so think about research that, that type of, of, of data sets. And then we have financial services for things like data rooms and what would be in an investment prospectus. Uhhuh,swyx: that one you can dog food.Aaron Levie: Yeah, exactly. Exactly. Yes. Yes. [00:34:00] So, uh, so we, we run the models, um, in now, you know, more of an agent mode, but, but still with, with kinda limited capacity and just try and see like on a, like, for like basis, what are the improvements?And, and again, we just continue to be blown away by. How, how good these models are getting.swyx: Yeah, I mean, I think every serious AI company needs something like that where like, well, this is the work we do. Here's our company eval. Yeah. And if you don't have it, well, you're not a serious AI company.Aaron Levie: There's two dimensions, right?So there's, there's like, how are the models improving? And so which models should you either recommend a customer use, which one should you adopt? But then every single day, we're making changes to our agents. And you need to knowswyx: if you regressed,Aaron Levie: if you know. Yeah. You know, I've been fully convinced that the whole agent observability and eval space is gonna be a massive space.Um, super excited for what Braintrust is doing, excited for, you know, Lang Smith, all the things. And I think what you're going to, I mean, this is like every enter like literally every enterprise right now. It's like the AI companies are the customers of these tools. Every enterprise will have this. Yeah, you'll just [00:35:00] have to have an eval.Of all of your work and like, we'll, you'll have an eval of your RFP generation, you'll have an eval of your sales material creation. You'll have an eval of your, uh, invoice processing. And, and as you, you know, buy or use new agentic systems, you are gonna need to know like, what's the quality of your, of your pipeline.swyx: Yeah.Aaron Levie: Um, so huge, huge market with agent evals.swyx: Yeah.Building the Agent Teamswyx: And, and you know, I'm gonna shout out your, your team a bit, uh, your CTO, Ben, uh, did a great talk with us last year. Awesome. And he's gonna come back again. Oh, cool. For World's Fair.Aaron Levie: Yep.swyx: Just talk about your team, like brag a little bit. I think I, I think people take these eval numbers in pretty charts for granted, but No, there, I mean, there's, there's lots of really smart people at work during all this.Aaron Levie: Biggest shout out, uh, is we have a, we have a couple folks at Dya, uh, Sidarth, uh, that, that kind of run this. They're like a, you know, kind of tag tag team duo on our evals, Ben, our CTO, heavily involved Yasha, head of ai, uh, you know, a bunch of folks. And, um, evals is one part of the story. And then just like the full, you know, kind of AI.An agent team [00:36:00] is, uh, is a, is a pretty, you know, is core to this whole effort. So there's probably, I don't know, like maybe a few dozen people that are like the epicenter. And then you just have like layers and layers of, of kind of concentric circles of okay, then there's a search team that supports them and an infrastructure team that supports them.And it's starting to ripple through the entire company. But there's that kind of core agent team, um, that's a pretty, pretty close, uh, close knit group.swyx: The search team is separate from the infra team.Aaron Levie: I mean, we have like every, every layer of the stack we have to kind of do, except for just pure public cloud.Um, but um, you know, we, we store, I don't even know what our public numbers are in, you know, but like, you can just think about it as like a lot of data is, is stored in box. And so we have, and you have every layer of the, of the stack of, you know, how do you manage the data, the file system, the metadata system, the search system, just all of those components.And then they all are having to understand that now you've got this new customer. Which is the agent, and they've been building for two types of customers in the past. They've been building for users and they've been building for like applications. [00:37:00] And now you've got this new agent user, and it comes in with a difference of it, of property sometimes, like, hey, maybe sometimes we should do embeddings, an embedding based, you know, kind of search versus, you know, your, your typical semantic search.Like, it's just like you have to build the, the capabilities to support all of this. And we're testing stuff, throwing things away, something doesn't work and, and not relevant. It's like just, you know, total chaos. But all of those teams are supporting the agent team that is kind of coming up with its requirements of what, what do we need?swyx: Yeah. No, uh, we just came from, uh, fireside chat where you did, and you, you talked about how you're doing this. It's, it's kind of like an internal startup. Yeah. Within the broader company. The broader company's like 3000 people. Yeah. But you know, there's, there's a, this is a core team of like, well, here's the innovation center.Aaron Levie: Yeah.swyx: And like that every company kind of is run this way.Aaron Levie: Yeah. I wanna be sensitive. I don't call it the innovation center. Yeah. Only because I think everybody has to do innovation. Um, there, there's a part of the, the, the company that is, is sort of do or die for the agent wave.swyx: Yeah.Aaron Levie: And it only happens to be more of my focus simply because it's existential that [00:38:00] we get it right.swyx: Yeah.Aaron Levie: All of the supporting systems are necessary. All of the surrounding adjacent capabilities are necessary. Like the only reason we get to be a platform where you'd run an agent is because we have a security feature or a compliance feature, or a governance feature that, that some team is working on.But that's not gonna be the make or break of, of whether we get agents right. Like that already exists and we need to keep innovating there. I don't know what the right, exact precise number is, but it's not a thousand people and it's not 10 people. There's a number of people that are like the, the kind of like, you know, startup within the company that are the make or break on everything related to AI agents, you know, leveraging our platform and letting you work with your data.And that's where I spend a lot of my time, and Ben and Yosh and Diego and Teri, you know, these are just, you know, people that, that, you know, kind of across the team. Are working.swyx: Yeah. Amazing.Read Write Agent WorkflowsJeff Huber: How do you, how do you think about, I mean, you talked a lot about like kinda read workflows over your box data. Yep.Right. You know, gen search questions, queries, et cetera. But like, what about like, write or like authoring workflows?Aaron Levie: Yes. I've [00:39:00] already probably revealed too much actually now that I think about it. So, um, I've talked about whatever,Jeff Huber: whatever you can.Aaron Levie: Okay. It's just us. It's just us. Yeah. Okay. Of course, of course.So I, I guess I would just, uh, I'll make it a little bit conceptual, uh, because again, I've already, I've already said things that are not even ga but, but we've, we've kinda like danced around it publicly, so I, yeah, yeah. Okay. Just like, hopefully nobody watches this, um, episode. No.swyx: It's tidbits for the Heidi engaged to go figure out like what exactly, um, you know, is, is your sort of line of thinking.Sure. They can connect the dots.Aaron Levie: Yeah. So, so I would say that, that, uh, we, you know, as a, as a place where you have your enterprise content, there's a use case where I want to, you know, have an agent read that data and answer questions for me. And then there's a use case where I want the agent to create something.And use the file system to create something or store off data that it's working on, or be able to have, you know, various files that it's writing to about the work it's doing. So we do see it as a total read write. The harder problem has so far been the read only because, because again, you have that kind of like 10 [00:40:00] million to one ratio problem, whereas rights are a lot of, that's just gonna come from the model and, and we just like, we'll just put it in the file system and kinda use it.So it's a little bit of a technically easier problem, but the only part that's like, not necessarily technically hard, it is just like it's not yet perfected in the state of the ecosystem is, you know, building a beautiful PowerPoint presentation. It's still a hard problem for these models. Like, like we still, you know, like, like these formats are just, we're not built for.They'reswyx: working on it.Aaron Levie: They're, they're working on it. Everybody's working on it.swyx: Every launch is like, well, we do PowerPoint now.Aaron Levie: We're getting, yeah, getting a lot, getting a lot of better each time. But then you'll do this thing where you'll ask the update one slide and all of a sudden, like the fonts will be just like a little bit different, you know, on two of the slides, or it moved, you know, some shape over to the left a little bit.And again, these are the kind of things that, like in code, obviously you could really care about if you really care about, you know, how beautiful is the code, but at the end, user doesn't notice all those problems and file creation, the end user instantly sees it. You're [00:41:00] like, ah, like paragraph three, like, you literally just changed the font on me.Like it's a totally different font and like midway through the document. Mm-hmm. Those are the kind of things that you run into a lot of in the, in the content creation side. So, mm-hmm. We are gonna have native agents. That do all of those things, they'll be powered by the leading kind of models and labs.But the thing that I think is, is probably gonna be a much bigger idea over time is any agent on any system, again, using Box as a file system for its work, and in that kind of scenario, we don't necessarily care what it's putting in the file system. It could put its memory files, it could put its, you know, specification, you know, documents.It could put, you know, whatever its markdown files are, or it could, you know, generate PDFs. It's just like, it's a workspace that is, is sort of sandboxed off for its work. People can collaborate into it, it can share with other people. And, and so we, we were thinking a lot about what's the right, you know, kind of way to, to deliver that at scale.Docs Graphs and Founder Modeswyx: I wanted to come into sort of the sort of AI transformation or AI sort of, uh, operations things. [00:42:00] Um, one of the tweets that you, that you wanted to talk about, this is just me going through your tweets, by the way. Oh, okay. I mean, like, this is, you readAaron Levie: one by one,swyx: you're the, you're the easiest guest to prep for because you, you already have like, this is the, this is what I'm interested in.I'm like, okay, well, areAaron Levie: we gonna get to like, like February, January or something? Where are we in the, in the timelines? How far back are we going?swyx: Can you, can you describe boxes? A set of skills? Right? Like that, that's like, that's like one of the extremes of like, well if you, you just turn everything into a markdown file.Yeah. Then your agent can run your company. Uh, like you just have to write, find the right sequence of words toAaron Levie: Yes.swyx: To do it.Aaron Levie: Sorry, isthatswyx: the question? So I think the question is like, what if we documented everything? Yes. The way that you exactly said like,Aaron Levie: yes.swyx: Um, let's get all the Fortune five hundreds, uh, prepared for agents.Yes. And like, you know, everything's in golden and, and nicely filed away and everything. Yes. What's missing? Like, what's left, right? LikeAaron Levie: Yeah.swyx: You've, you've run your company for a decade. LikeAaron Levie: Yeah. I think the challenge is that, that that information changes a week later. And because something happened in the market for that [00:43:00] customer, or us as a company that now has to go get updated, and so these systems are living and breathing and they have to experience reality and updates to reality, which right now is probably gonna be humans, you know, kinda giving those, giving them the updates.And, you know, there is this piece about context graphs as as, uh, that kinda went very viral. Yeah. And I, I, I was like a, i, I, I thought it was super provocative. I agreed with many parts of it. I disagree with a few parts around. You know, it's not gonna be as easy as as just if we just had the agent traces, then we can finally do that work because there's just like, there's so much more other stuff that that's happening that, that we haven't been able to capture and digitize.And I think they actually represented that in the piece to be clear. But like there's just a lot of work, you know, that that has to, you just can't have only skills files, you know, for your company because it's just gonna be like, there's gonna be a lot of other stuff that happens. Yeah. Change over time.Yeah. Most companies are practically apprenticeships.swyx: Most companies are practically apprenticeships. LikeJeff Huber: every new employee who joins the team, [00:44:00] like you span one to three months. Like ramping them up.Aaron Levie: Yes. AllJeff Huber: that tat knowledgeAaron Levie: isJeff Huber: not written down.Aaron Levie: Yes.Jeff Huber: But like, it would have to be if you wanted to like give it to an Asian.Right. And so like that seems to me like to beAaron Levie: one is I think you're gonna see again a premium on companies that can document this. Mm-hmm. Much. There'll be a huge premium on that because, because you know, can you shorten that three month ramp cycle to a two week ramp cycle? That's an instant productivity gain.Can you re dramatically reduce rework in the organization because you've documented where all the stuff is and where the answers are. Can you make your average employee as good as your 90th percentile employee because you've captured the knowledge that's sort of in the heads of, of those top employees and make that available.So like you can see some very clear productivity benefits. Mm-hmm. If you had a company culture of making sure you know your information was captured, digitized, put in a format that was agent ready and then made available to agents to work with, and then you just, again, have this reality of like add a 10,000 person [00:45:00] company.Mapping that to the, you know, access structure of the company is just a hard problem. Is like, is like, yeah, well, you just, not every piece of information that's digitized can be shared to everybody. And so now you have to organize that in a way that actually works. There was a pretty good piece, um, this, this, uh, this piece called your company as a file is a file system.I, did you see that one?swyx: Nope.Aaron Levie: Uh, yes. You saw it. Yeah. And, and, uh, I actually be curious your thoughts on it. Um, like, like an interesting kind of like, we, we agree with it because, because that's how we see the world and, uh,swyx: okay. We, we have it up on screen. Oh,Aaron Levie: okay. Yeah. But, but it's all about basically like, you know, we've already, we, we, we already organized in this kind of like, you know, permission structure way.Uh, and, and these are the kind of, you know, natural ways that, that agents can now work with data. So it's kind of like this, this, you know, kind of interesting metaphor, but I do think companies will have to start to think about how they start to digitize more, more of that data. What was your take?Jeff Huber: Yeah, I mean, like the company's probably like an acid compliant file system.Aaron Levie: Uh,Jeff Huber: yeah. Which I'm guessing boxes, right? So, yeah. Yes.swyx: Yeah. [00:46:00]Jeff Huber: Which you have a great piece on, but,swyx: uh, yeah. Well, uh, I, I, my, my, my direction is a little bit like, I wanna rewind a little bit to the graph word you said that there, that's a magic trigger word for us. I always ask what's your take on knowledge graphs?Yeah. Uh, ‘cause every, especially at every data database person, I just wanna see what they think. There's been knowledge graphs, hype cycles, and you've seen it all. So.Aaron Levie: Hmm. I actually am not the expert in knowledge graphs, so, so that you might need toswyx: research, you don't need to be an expert. Yeah. I think it's just like, well, how, how seriously do people take it?Yeah. Like, is is, is there a lot of potential in the, in the HOVI?Aaron Levie: Uh, well, can I, can I, uh, understand first if it's, um, is this a loaded question in the sense of are you super pro, super con, super anti medium? Iswyx: see pro, I see pros and cons. Okay. Uh, but I, I think your opinion should be independent of mine.Aaron Levie: Yeah. No, no, totally. Yeah. I just want to see what I'm stepping into.swyx: No, I know. It's a, and it's a huge trigger word for a lot of people out Yeah. In our audience. And they're, they're trying to figure out why is that? Because whyAaron Levie: is this such aswyx: hot item for them? Because a lot of people get graph religion.And they're like, everything's a graph. Of course you have to represent it as a graph. Well, [00:47:00] how do you solve your knowledge? Um, changing over time? Well, it's a graph.Aaron Levie: Yeah.swyx: And, and I think there, there's that line of work and then there's, there's a lot of people who are like, well, you don't need it. And both are right.Aaron Levie: Yeah. And what do the people who say you don't need it, what are theyswyx: arguing for Mark down files. Oh, sure, sure. Simplicity.Aaron Levie: Yeah.swyx: Versus it's, it's structure versus less structure. Right. That's, that's all what it is. I do.Aaron Levie: I think the tricky thing is, um, is, is again, when this gets met with real humans, they're just going to their computer.They're just working with some people on Slack or teams. They're just sharing some data through a collaborative file system and Google Docs or Box or whatever. I certainly like the vision of most, most knowledge graph, you know, kind of futuristic kind of ways of thinking about it. Uh, it's just like, you know, it's 2026.We haven't seen it yet. Kind of play out as as, I mean, I remember. Do you remember the, um, in like, actually I don't, I don't even know how old you guys are, but I'll for, for to show my age. I remember 17 years ago, everybody thought enterprises would just run on [00:48:00] Wikis. Yeah. And, uh, confluence and, and not even, I mean, confluence actually took off for engineering for sure.Like unquestionably. But like, this was like everything would be in the w. And I think based on our, uh, our, uh, general style of, of, of what we were building, like we were just like, I don't know, people just like wanna workspace. They're gonna collaborate with other people.swyx: Exactly. Yeah. So you were, you were anti-knowledge graph.Aaron Levie: Not anti, not anti. Soswyx: not nonAaron Levie: I'm not, I'm not anti. ‘cause I think, I think your search system, I just think these are two systems that probably, but like, I'm, I'm not in any religious war. I don't want to be in anybody's YouTube comments on this. There's not a fight for me.swyx: We, we love YouTube comments. We're, we're, we're get into comments.Aaron Levie: Okay. Uh, but like, but I, I, it's mostly just a virtue of what we built. Yeah. And we just continued down that path. Yeah.swyx: Yeah.Aaron Levie: And, um, and that, that was what we pursued. But I'm not, this is not a, you know, kind of, this is not a, uh, it'sswyx: not existential for you. Great.Aaron Levie: We're happy to plug into somebody else's graph.We're happy to feed data into it. We're happy for [00:49:00] agents to, to talk to multiple systems. Not, not our fight.swyx: Yeah.Aaron Levie: But I need your answer. Yeah. Graphs or nerd Snipes is very effective nerd.swyx: See this is, this is one, one opinion and then I've,Jeff Huber: and I think that the actual graph structure is emergent in the mind of the agent.Ah, in the same way it is in the mind of the human. And that's a more powerful graph ‘cause it actually involved over time.swyx: So don't tell me how to graph. I'll, I'll figure it out myself. Exactly. Okay. All right. AndJeff Huber: what's yours?swyx: I like the, the Wiki approach. Uh, my, I'm actually

If You're a FAN leave me a message :-)Your calendar is your real strategy, not the deck, not the talk, not the “Q2 priorities” slide.In this Executive Five episode, I show you how to read your last two weeks like evidence, where your time is going, what you're actually rewarding, and why your team aligns to what you attend, not what you announce.You'll walk away with three clean moves, run calendar forensics, pre book priority time first, and remove one status meeting that's just reporting theatre, so your week produces decisions, development, and real momentum.Support the showContact me:Daniel@the-success-blueprint.co.zawww.mindworx.bizdaniel@mindsworx.comInstagram: @Mindworx_Coaching

This week we examine the implications of the war in Iran and the rising uncertainty now weighing on financial markets. Since our previous episode, titled “Inflation Intensifies Amid Credit Cracks,” the inflation outlook has deteriorated sharply as the conflict has pushed energy prices higher. In the near term, stronger inflation now appears almost unavoidable, arriving at a moment when the economic backdrop was already fragile. We also look to history for guidance on the risks building in private credit. In particular, we revisit the collapse of Executive Life Insurance in the late nineteen eighties and early nineteen nineties, when heavy exposure to high yield debt ultimately proved fatal. The episode offers a useful lens through which to consider how stress in private credit might unfold and how losses could spread into other parts of the financial system. Finally, we reflect on the unusually uncertain environment facing investors. Will the conflict prove brief or prolonged? No one yet knows. What is clear is that periods of geopolitical uncertainty tend to unsettle markets. For now, that anxiety is showing up in prices, with all three major equity indices in the United States negative for the year.

Howie and Harlan are joined by Yale School of Medicine neurologist Kevin Sheth to discuss how collaboration helps drive breakthroughs in brain health, including advances in detecting stroke and other neurological diseases earlier and more precisely. Harlan reflects on lessons from his family's recent experience navigating the healthcare system; Howie examines the expanding marketplace for GLP-1 weight-loss drugs and the challenges of ensuring safe and appropriate use. Show notes: The Family Perspective Cleveland Clinic: Percutaneous Coronary Intervention "What's the Difference Between a CCU and an ICU?" Kevin Sheth Alva Health Mayo Clinic: Stroke Video: Kevin Sheth at the Yale Innovation Summit Sandra Saldana, PhD, MBA "Buddy System"  NIH: Multiple Principal Investigators "Assessing the Decade of the Brain" "Cerebrospinal fluid and plasma biomarkers in Alzheimer disease" Kevin Sheth: "Burden of Ischemic and Hemorrhagic Stroke Across the US From 1990 to 2019"  Endovascular Thrombectomy (EVT) Ischemic vs Hemorrhagic Stroke "What is cognitive reserve?"  Cheaper Obesity Drugs "Will Novo Nordisk's slashing of obesity drug prices save patients' money? It depends"  "Novo Nordisk to halve US list price of Wegovy from 2027"  "Walgreens Virtual Healthcare Adds Weight Management Services to Support Patients on Their Weight Loss Journey"  In the Yale School of Management's MBA for Executives program, you'll get a full MBA education in 22 months while applying new skills to your organization in real time. Yale's Executive Master of Public Health offers a rigorous public health education for working professionals, with the flexibility of evening online classes alongside three on-campus trainings. Email Howie and Harlan comments or questions.

For many Iranian Americans, the news of the Ayatollah's death marked the closing of a painful chapter that began decades ago when families fled the regime's rise. As the U.S. remains divided over the recent strikes, with the latest FOX News poll showing support split nearly 50-50, many in the Iranian diaspora are reflecting on their past while cautiously hoping for a different future for the country they once called home. Iranian American journalist and activist Tabby Refael and board-certified physician Dr. Houman Hemmati join the Rundown to share why the moment feels “bittersweet,” and what they believe could come next for Iran and its people. In the wake of Colin Gray's conviction for his role in the 2024 Apalachee High School shooting, a critical dialogue has emerged regarding parental accountability, and the preventable nature of gun violence. Board-certified forensic psychiatrist Dr. Dan Bober joins to discuss the tragic combination of adolescent grievances and easy firearm access, the psychological script that leads marginalized youth to idolize past shooters, and his expert advice for parents on identifying warning signs of potential violent intent. Plus, commentary by FOX News contributor, Joe Concha. PHOTO CREDIT: ASSOCIATED PRESS Learn more about your ad choices. Visit podcastchoices.com/adchoices

Israel has launched a new wave of intense airstrikes on Iran and Hezbollah targets in Lebanon. Israeli forces say they targeted key infrastructure linked to the Iranian government, including a missile launcher in Qom and an air defense system in Isfahan. The IDF is also heavily targeting the Islamic Revolutionary Guard Corps (IRGC) and the Basij militia, Iran's volunteer paramilitary force, who were both behind the violent, bloody crackdown on protesters in January. FOX's Jonathan Savage speaks with Trey Yingst, chief foreign correspondent for the FOX News Channel, reporting from Tel Aviv, Israel, who says operations to destroy Iranian missile capabilities are a major focus now. Click Here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To Follow 'The FOX News Rundown: Evening Edition' Learn more about your ad choices. Visit podcastchoices.com/adchoices

ADHD & Autism: Why Chores Are So Hard (And How to Teach Responsibility Without Shame) Why do chores turn into power struggles in so many ADHD and autistic families? It's not laziness. It's not defiance. And it's definitely not a character flaw. In this episode of The Autism ADHD Podcast, Holly Blanc Moses sits down with adolescent psychologist Dr. Cam Caswell to unpack why chores feel like a nightmare for neurodivergent kids and teens. If you're parenting a child with ADHD or autism and struggling with: Executive functioning challenges Chore refusal Emotional meltdowns over "simple" tasks Fear about your child's future Power struggles at home This conversation will change how you see chores forever. You'll learn: ✔ Why chasing compliance actually builds resentment ✔ The difference between responsibility and obedience ✔ How executive functioning impacts task initiation ✔ Why chores are an adult priority (not a teen priority) ✔ How to teach life skills without shame ✔ A neurodiversity-affirming approach to building ownership ✔ How to reduce conflict while increasing competence This episode is essential listening for: Parents of ADHD and/or autistic children and teens Therapists and psychologists working with neurodivergent families Educators Parenting coaches If you want to raise responsible, confident kids without damaging connection — this episode is for you!  Sincerely, Holly Blanc Moses, The Mom/Neurodivergent Therapist P.S. I've got more goodness for you!

A Northwest Side charter network, an iconic South Side cleaners, and a North Side art museum all announced closures in recent weeks. Executive producer Simone Alicea and host Jacoby Cochran dive into the details. Plus, attack ads are picking up in primary races, and Amazon delivery drones are coming to Chicago's south suburbs. Good News: Women in Dance Festival, Farmdega at Monday coffee, 312 All Star Basketball Tournament, Winter Walk & Bonfire Want some more City Cast Chicago news? Then make sure to sign up for our newsletter. Follow us @citycastchicago You can also text us or leave a voicemail at: 773 780-0246 Learn more about the sponsors of this March 4 episode: Access Contemporary Music – Use promo code PIANO for 20% off Become a member of City Cast Chicago. Interested in advertising with City Cast? Find more info HERE

Newly pointer Executive Director of IU Basketball, Ryan Carr, joins Jake Query to discuss what his new role with IU basketball will entail, how the shift from the Indiana Pacers to college basketball came about, admits that he really likes what he has seen from Darian DeVries this season, and takes you from his journey from starting at the very bottom of the barrel with the Indiana Pacers while working at Burger King to where he is today.Support the show: https://1075thefan.com/query-and-company/See omnystudio.com/listener for privacy information.

Executive producer and creative entrepreneur Diane Strand joins me to unpack a question most operators overlook: What if the arts teach the exact skills leaders need to survive volatility?We talk about discipline, rejection, resilience, visibility, and why creatives may be better prepared for uncertainty than most executives realize. From auditions and rehearsals to launching seven- and eight-figure ventures, Diane makes the case that the arts don't just produce performers—they produce entrepreneurs.Most corporate environments reward stability and caution. The arts reward iteration, discomfort, and persistence. That tension is the heart of this conversation.We explore why artists must become “creativepreneurs,” how passion evolves into purpose—and then into profit—and why the discipline learned on stage often translates directly into leadership, influence, and business growth.This isn't a romanticized view of creativity. It's a pragmatic look at how rehearsal, rejection, and reinvention create durable operators.TL;DR* The arts teach resilience through repetition and rejection.* Rehearsal discipline mirrors business preparation.* Passion without business structure stalls.* Visibility is a skill, not luck.* Start before you're ready. Momentum creates clarity.* There is no real “backup plan”—only commitment.* Creative skills are leadership skills.Memorable Lines* “Start before you're ready.”* “Get comfortable being uncomfortable.”* “Passion becomes purpose. Purpose becomes profit.”* “Leadership doesn't get easier—it becomes more public.”* “If you want something done, find a theater kid.”GuestDiane Strand — Executive Producer, Serial Entrepreneur, Author, and FounderFounder of JDS Studio, video producer, acting coach, nonprofit leader, and advocate for arts-based entrepreneurship.Diane works at the intersection of creativity and commerce—helping artists, executives, and founders become more visible, more disciplined, and more intentional about building sustainable careers.Why This MattersThe modern economy doesn't reward rigidity. It rewards adaptability.Rejection cycles aren't unique to actors. Founders pitch and get rejected. Consultants propose and get ignored. Leaders cast vision and face resistance. The rehearsal process of the arts mirrors the repetition required in business.For founders, operators, and executives rebuilding after setbacks, this episode reframes creativity as operational leverage.The skill is not talent.The skill is disciplined persistence under uncertainty. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.dougutberg.com

This episode breaks down the U.S. military's role in global conflicts and the political double standards surrounding them: Iran under attack: how U.S. forces are dismantling the regime's nuclear ambitions The human cost of past conflicts, including Libya and the rise of ISIS Democrats' shifting positions on presidential military authority Hakim Jeffries and Nancy Pelosi confronted on inconsistencies between Libya and Iran How historical U.S. interventions shaped modern Middle East instability The debate over congressional approval, humanitarian claims, and executive power We unpack the complexities of U.S. foreign policy, the politics behind military action, and why certain conflicts are viewed through vastly different lenses depending on the party in power.

A lawsuit claims that senior executives at JPMorgan Chase were aware of Jeffrey Epstein's abuse of underage girls while he was still a client of the bank. According to court filings cited by the Daily Mail, internal communications and testimony suggest that high-level officials discussed concerns about Epstein's behavior for years before cutting ties with him in 2013. The lawsuit alleges that bank employees flagged suspicious cash withdrawals and the nature of Epstein's relationships with young women, yet he remained a profitable client despite his 2008 conviction for soliciting a minor.The legal action argues that JPMorgan not only maintained its relationship with Epstein after his conviction but also potentially facilitated aspects of his trafficking operation by continuing to process large financial transactions. The bank has previously stated that it regrets its association with Epstein and maintains that it ended the relationship once concerns escalated internally.to contact me:bobbycapucci@protonmail.com

Success isn't always linear and sometimes the bravest move is walking away from something you worked incredibly hard to build. In this episode, Bryce sits down with Sharla Toller, J.D., Senior Vice President and Director of Diversity, Equity, and Inclusion at CannonDesign, to talk about courage, career pivots, and redefining what success really means. Sharla's journey to executive leadership in the AEC industry didn't follow a straight path. A former practicing attorney with a J.D. from Howard University School of Law, she made the bold decision to leave litigation behind to pursue work aligned with her passion: building inclusive, people-centered workplaces. Since joining CannonDesign in 2021, she has: Led implementation of the firm's DEI Strategic Framework Directed the DEI Council and Employee Resource Groups Launched firmwide training programs Deepened partnerships with organizations like National Organization of Minority Architects Co-authored the children's book Deja the Dynamo Been named one of the Top 50 DEI Professionals in the OnCon Icon Awards (2025) She also holds a Master of Professional Studies in HR Management/Diversity & Inclusion from Georgetown University and is a single mother who has intentionally shaped a career aligned with both passion and parenthood. In this episode, we discuss: Leaving a prestigious profession to follow purpose How DEI work impacts retention, talent acquisition, and engagement in AEC What real executive leadership looks like Building a career that supports your life — not competes with it The courage required to pivot This conversation is about alignment, authenticity, and redefining success on your own terms.

Tonya Thomas transformed from a solo virtual executive assistant into an agency founder by recognizing a critical business principle: when your company depends entirely on you, you've built a job, not a business. Over eighteen years supporting ex-corporate entrepreneurs, she discovered that executive assistants function as growth catalysts—not expenses—by freeing leaders to focus on strategy rather than operations. Her transition required learning that scaling demands systems and processes that work without you, not just better execution of individual tasks. Tonya has witnessed concrete business transformations through strategic delegation. Clients unable to launch new revenue streams suddenly implemented multiple offerings within months of engaging proper support. Others escaped the feeling of drowning in operational chaos and regained control of their time and priorities. Yet her most valuable insight addresses a hidden market gap: many entrepreneurs already employ executive assistants but lack the frameworks to delegate effectively. If you're stuck as your business's primary constraint, take action today. Visit Team Delegate and complete the Business Bottleneck Assessment—a five-minute diagnostic tool that reveals exactly where your time, attention, and capacity are leaking away and where targeted support creates the most leverage. You'll receive a personalized score with concrete next steps, transforming vague frustration into a clear roadmap for sustainable growth. Whether you're hiring your first assistant or maximizing one you already have, this assessment cuts through confusion and points directly toward the support structure your business needs to scale beyond you. For the accessible version of the podcast, go to our Ziotag gallery.We're happy you're here! Like the pod?Support the podcast and receive discounts from our sponsors: https://yourbrandamplified.codeadx.me/Leave a rating and review on your favorite platformFollow @yourbrandamplified on the socialsTalk to my digital avatar Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This week, we're digging into the nuances of TSS and lead turkey loads, both in terms of price and performance. Executive editor Natalie Krebs recently reported a deep-dive on the current TSS market and why prices have skyrocketed. Editor-in-chief Alex Robinson just finished range testing all of the top turkey loads on the market. So here's what you need to know about turkey ammo before the season opens. Related: Why TSS prices have skyrocketed http://outdoorlife.com/tss Hosted by editor-in-chief Alex Robinson. Produced by executive editor Natalie Krebs. Edited by Mike Pedersen / Eighty Five Audio. Learn more about your ad choices. Visit megaphone.fm/adchoices

You can be clear. Logical. Strategic. Ethical.And still lose influence.In this episode of The Executive Appeal, Alex D. Tremble, executive coach and founder of GPS Leadership Solutions, breaks down a hard truth for senior leaders: at the executive level, perception is the operating system of influence.In $50M to $750M organizations, leaders often believe communication is about clarity and authority. But if stakeholders do not trust your intent or misunderstand your positioning, execution slows, resistance rises, and decisions require more effort than they should.In this episode, you will learn:- Why perception, not intent, determines trust at the executive level- How misalignment quietly increases political friction- How to reduce resistance before major decisions- When to leverage allies instead of presenting ideas yourself- Why 360 perception awareness is critical to faster executionThis episode is for you if:- You are still the primary problem solver for your executive team- Conversations feel heavier than they should- Smart ideas face unnecessary resistance- You sense political tension but cannot pinpoint whyIf you want more trust, faster alignment, and fewer decisions rolling up to you, this episode will reshape how you approach executive communication.Listen now and share with another senior leader who values influence over noise.

Trauma Healing w Soul Intelligence Method: CEO & Founder Kristine Genovese The Soul Intelligence® Method (SQ) is a revolutionary bioenergetic healing system designed to release physical, emotional, and mental tension at the subconscious level, offering profound transformation without the need to relive past traumas. It marries science, spirituality, and practical application to help individuals and professionals alike clear energetic blockages that hinder growth and expansion. Kristine Genovese CEO Founder https://soulintelligencemethod.com/ https://linktr.ee/soulintelligencemethodPinkCloud9 Media is Video Podcaster have interviewed 500+ CEOs, Authors, Speakers, Coaches,Executives, Business Leaders & Professionals & looking to promote more for your Visibility, Authority & Evergreen Content to my 100,000+ audience reach since 2020. Topic is always Business & your specialization the subtopic. Also booking Speakers for online events globally. Book your Business Episode Host:Book your 15-30 minute Episode SPECIAL here:https://calendly.com/pinkcloud9media/actual-livestream-recordingPodmatch discount here:https://www.joinpodmatch.com/pinkcloud9mediaGet to know our Complimentary Community w an Exclusive Benefits optionhttps://www.patreon.com/c/PinkCloud9MediaLinkedin here:https://www.linkedin.com/in/pinkcloud9/https://www.youtube.com/@PinkCloud9MediaLinktree here: https://linktr.ee/PinkCloud9#pinkcloud9media #business #podmatch #podcast #Ai 

The war in Iran, now in its fifth day, has clearly become the focus of the past week.

It's been a crazy year for executives, both for good and for ill, and the trade deadline made things even crazier. Nate and Danny go through the many candidates for Not Executive of the Year. ⁠Full Daily Duncs with links⁠⁠ Luka Doncic-J.J. Redick Jarred Vanderbilt Luke Kornet Awards All-NBA Super-max Tyrese Maxey Steve Kerr-Kristaps Porzingis Mohamed Diawara Celtics-Nets ⁠Full Daily Duncs with links⁠ Join Dunc'd On Prime! It's the only place to get every episode with Nate & Danny, plus every pod with John Hollinger & Nate as well!Subscribe on YouTube to get Dunc'd On Clutch Calls, Real Video Scouts, and more.Or, sign up for our FREE mailing list to get Dan Feldman's Daily Duncs with all the major topics around the league twice a week. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The fight between Anthropic and the Pentagon goes deeper than a simple contract dispute. In some ways, it's the culmination of a tech rivalry that's been simmering since the early days of OpenAI.Anthropic wasn't some scrappy outsider that stumbled into national security. It'd already had top secret clearance, working with the CIA for years, and had seemingly made peace with the idea that its models would be used inside the American intelligence apparatus. So let's dispense with the notion that this is a company discovering government power for the first time. The rupture didn't happen because the Pentagon suddenly knocked on the door. The door had been open.The disagreement came down to terms. Anthropic wanted to draw lines beyond the law. No mass surveillance of civilians. No autonomous weapons without a human in the loop. Not “we'll follow U.S. statute.” They wanted something stricter, something moral, something aligned with Dario Amodei's effective altruist worldview. The Pentagon's response was blunt: we obey US law, but we don't sign up to a private company's expanded terms of service.That's where the temperature rose.Politics Politics Politics is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Because this isn't just any company. Dario left OpenAI over exactly this kind of philosophical divide. He believed OpenAI was becoming too commercial, too focused on product, not focused enough on safety and existential risk. So he built Anthropic as the safety lab. The kinder, gentler, crunchier alternative. But ironically, Anthropic was already cashing government checks while telling itself it was the adult in the room.From the Pentagon's perspective, the risk was operational. If you're going to integrate a model into defense infrastructure, you can't have the supplier yank the API mid-mission because the CEO decides the vibes are off. There were even reports that during negotiations, Pentagon officials asked whether Anthropic would allow its technology to respond to incoming ballistic missiles if civilian casualties were possible. The alleged answer, “you can always call,” wasn't reassuring to people whose job is to eliminate hesitation.And hovering over all of this is Sam Altman.Because while Anthropic was sparring with the Department of Defense, OpenAI was in conversation. The rivalry here isn't new. The effective altruist faction at OpenAI once helped push Altman out of his own company before he managed to return days later. Anthropic ran a Super Bowl ad that took thinly veiled shots at OpenAI's commercialization. So when Anthropic stumbled, OpenAI stepped in and secured its own defense agreement.Then came the nuclear option talk: labeling Anthropic a “supply chain risk.” In Pentagon language, this is the category you reserve for companies like Huawei, for hostile foreign hardware, for entities you believe can't be trusted inside American systems. Most people inside and outside the tech landscape agree that goes too far. Anthropic may be principled. It may be stubborn. It may even be naive. But it isn't malicious.Meanwhile, something fascinating happened in the market. Claude, Anthropic's consumer product, exploded in downloads. It became a kind of digital resistance symbol, a signal that you weren't with the war machine. The company that once insisted it didn't care about consumer dominance suddenly found itself riding a consumer wave, experience mass traffic it hadn't planned to account for.What this entire episode reveals is that AI isn't a lab experiment anymore. It's infrastructure. It's missile defense. It's geopolitical leverage. And when you build something that powerful, you don't get to exist outside power structures. You either align with them, fight them, or try to morally outmaneuver them. Anthropic tried the third path. The Pentagon reminded them that in wartime procurement, ambiguity isn't a feature.Cooler heads may yet prevail. Right now, the Pentagon's got bigger problems than a Silicon Valley slap fight. But this was the moment when AI stopped being a culture war talking point and became a live wire in national security. And once you plug into that grid, there's no going back.Chapters00:00:00 - Intro00:02:25 - Texas Primary Final Predictions00:15:20 - The Pentagon vs. Anthropic, Explained00:40:30 - Update00:40:52 - Iran00:45:41 - Clintons00:49:08 - Kalshi00:52:19 - Interview with Kenneth Lowande01:18:03 - Wrap-up This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.politicspoliticspolitics.com/subscribe

There has been a lot of headlines in recent months about crime on the CTA following high profile incidents in late 2025, ongoing tension with the feds over the presence of cops on public transit, and an overall feeling that even after improvements in hirings and wait times, CTA still has a lot to do concerning rider experience and safety. Executive producer Simone Alicea and host Jacoby Cochran are discussing recent public transit crime statistics. Plus, the city council is proposing a new tourism improvement district, and listeners have thoughts on Waymo in Chicago. Good News: Annual Chicago Birthday Party Want some more City Cast Chicago news? Then make sure to sign up for our newsletter. Follow us @citycastchicago You can also text us or leave a voicemail at: 773 780-0246 Learn more about the sponsors of this March 3 episode: Access Contemporary Music – Use promo code PIANO for 20% off Become a member of City Cast Chicago. Interested in advertising with City Cast? Find more info HERE