Podcasts about guardrails

In this episode of FYI, Brett Winton and Nick Grous sit down with Leif Abraham, co-founder and co-CEO of Public. They examine how the brokerage landscape is shifting as digital-native investors seek more sophisticated tools, and why Public is focused on the top quartile of earners positioned to compound wealth. Leif discusses agentic AI workflows, generated assets, platform design trade-offs, prediction markets, and how Public is balancing short-term monetization with long-term customer lifetime value.Key Points From This Episode: 00:00:00 Public's positioning in the modern brokerage landscape00:07:17 The K-shaped economy and focusing on the top quartile00:09:04 Building a “serious” financial service centered on trust00:10:06 Product depth vs. simplification in brokerage design00:11:00 Generated Assets: prompting AI-built custom portfolios00:13:21 Digital natives as hybrid self-directed investors00:15:04 How AI is transforming internal product development00:19:55 Launching agentic workflows for money movement and trading00:23:38 Compressing the distance from idea to execution00:27:34 Guardrails, approvals, and trust in AI-driven execution00:30:26 Short-term trading revenue vs. long-term lifetime value00:33:32 Agents as retention and lock-in strategy00:35:05 Replacing financial advisors: automation, advice, and emotion00:37:54 Tokenization and private asset access00:40:40 Prediction markets and avoiding sports betting00:45:55 Building the last investing account customers ever openEditing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

We start the political strategy behind the longest State of the Union speech yet. President Donald Trump's pick for surgeon general, a MAHA influencer, was grilled on Capitol Hill today. A CNN investigation found nearly 100 documents appear to be missing from the Justice Department's investigation on Jeffrey Epstein. The US Embassy is offering diplomatic services to a Israeli settlement in the Occupied West Bank. Plus, we explain why AI company Anthropic is ditching its core safety principal. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Voice agents are moving from novelty to true revenue infrastructure—and businesses that treat them like strategic roles instead of talking FAQs are pulling ahead. In this episode, John Jantsch sits down with Ryan Murha of Yodify to explore how purpose-built voice AI agents can qualify leads, guide buyers, facilitate conversations, and even create new revenue streams for creators and brands. They break down how multi-layered LLM orchestration, brand voice alignment, and AI guardrails reduce hallucinations and improve real-world performance. If you're curious about using voice AI for business development, customer experience automation, or scalable personalization, this conversation shows why voice AI is finally ready for prime time. Today we discussed: 00:00 Voice AI Fundamentals 02:32 Prompt Strategy, Personas, and Sales Roles 05:17 Critically Thinking Voice Agents 08:33 Voice Agent Framework 10:02 AI Transparency, Ethics, and Trust 11:43 Building and Testing AI Agents 14:59 Guardrails, Gemini, and Limitations 16:41 Integration, Monetization, and Pilots 19:59 Closing Thoughts and Contact Info Rate, Review, & Follow If you liked this episode, please rate and review the show. Let us know what you loved most about the episode. Struggling with strategy? Unlock your free AI-powered prompts now and start building a winning strategy today!

Welcome to episode #259!

Send a textWe unpack how to use self-directed IRAs to buy real estate, fund syndications, and even do hard money loans while keeping the same tax advantages as traditional retirement accounts. Henry Yoshida explains the rules, the risks, and how to get started without friction.• Using IRAs to invest in private real estate• How rental income and gains are taxed inside IRAs• Roth IRA benefits for long‑term real estate growth• Who self‑directed IRAs fit best and why timing matters• Hard money lending terms and execution via an IRA• Diversifying into LPs, syndications, and crypto• Why institutions allocate to private markets• Platform steps to open, fund, and deploy capital• Guardrails, paperwork, and keeping expenses inside the IRA• Word of the week: curiosity as an investing edgeSubscribe, leave a five‑star review, keep sharing, help me crack two million downloads. We're this close Support the showThanks again for listening. Don't forget to subscribe, share, and leave a FIVE-STAR review.Head to Dwanderful right now to claim your free real estate investing kit. And follow:http://www.Dwanderful.comhttp://www.facebook.com/Dwanderfulhttp://www.Instagram.com/Dwanderful http://www.youtube.com/DwanderfulRealEstateInvestingChannelMake it a Dwanderful Day!

Are you emotionally connected to your wife — or slowly drifting? Are you controlling the temperature of your marriage — or reacting to it? In this special series of 'Average Joe' conversations, Jim Ramos sits down with friend Chris Clay for an extremely practical conversation about building guardrails that protect both your character and your marriage. Drawing from Jim's upcoming book, Guardrails: 10 Boundaries for an Unbreakable Marriage, they unpack real-life stories and wisdom from decades of marriage to set clear boundaries every man needs to pursue.  Jim's newest book, Guardrails: Ten Boundaries for an Unbreakable Marriage will be releasing in April 2026. Pre-order your copy today at https://tinyurl.com/guardrails115.

Marilois Snowman, Founder and CEO of Mediastruction, discusses her journey in the media industry, focusing on the unique needs of mid-market brands. She highlights the evolution of media spending, the importance of measurement, and the role of AI in optimizing marketing strategies. The conversation delves into the significance of both digital and linear media, the impact of consumer behavior changes, and offers valuable advice for brands looking to enhance their media strategies. Takeaways Marilois Snowman founded Mediastruction to address mid-market brands' unique needs. The evolution of media spending has shifted significantly towards digital. Mid-market brands often lack the language and understanding of media mix modeling. Education is crucial for brands to understand the algorithms behind media planning. Customization of algorithms is essential for effective media mix modeling. Connected TV is becoming a valuable medium for mid-market brands. Linear TV still holds significant power in marketing strategies. AI can enhance data analysis but requires careful oversight. Consumer behavior is shifting, impacting web traffic and SEO strategies. Brands need a data evangelist to navigate the complexities of marketing data. Chapters 00:00 Introduction to Mediastruction and Marilois Snowman 01:02 The Genesis of Mediastruction and Marilois Background 02:04 Mid-Market Measurement Gaps and Growth Goals 02:42 The Rise of MMM and the Evolution of Media Spend and Measurement 04:35 Demystifying MMM and Building Customized Paid Media Solutions 06:59 Scaling Beyond Search and Social and Rethinking Channel Mix 08:16 CTV, Linear TV, and the Synergy Effect for Regional Brands 11:02 AI in Marketing Analytics, Hallucination Risk, and Guardrails 13:33 The Shift from SEO to AI-Driven Discovery and Declining Web Traffic 16:08 Advice for Brands: Hire a Data Evangelist and Build Smarter Measurement Learn more about your ad choices. Visit megaphone.fm/adchoices

Igor Andriushchenko joins Crying Out Cloud to explain how vibe coding changes the role of security engineers. The shift from typing lines of code to shaping entire systems means security teams need new strategies. Developers expect their shipping velocity to increase tenfold with AI assistance. Relying on traditional hard deployment blocks will only cause friction. If you want to understand how to build secure guardrails for AI development without destroying developer momentum, this conversation covers the exact mechanics.What's Inside:The evolution of the Stockholm tech scene and human ambition driven by AI.How Lovable empowers non-developers to build disposable and deeply specific software.The concept of "soft guardrails" and why hard blocks fail in AI-assisted workflows.Future capabilities of AI pen testing using hundreds of autonomous agents.The shared responsibility model when business users build internal applications.

OpenAI korrigiert seine Umsatzerwartungen erneut nach oben: $284 Mrd. bis 2030, davon $150 Mrd. aus dem Consumer-Geschäft . Anthropic meldet massive Destillationsangriffe chinesischer Modellbetreiber mit bis zu 24.000 Fake-Accounts, während DeepSeek laut Reuters auf Nvidias Blackwell-Chips trainiert – angeblich in Data Centern in der Mongolei. Bernie Sanders fordert nach Gesprächen mit KI-CEOs ein Moratorium. Der virale Citrini-Research-Artikel "The 2028 Global Intelligence Crisis" beschreibt ein Doom-Szenario für SaaS und löst einen realen Kursrutsch bei ServiceNow, DoorDash und Cloudflare aus. Das DHS baut eine behördenübergreifende biometrische Datenbank. OpenAI-Mitarbeiter erkannten Warnsignale in der Chat-Historie einer kanadischen Amokläuferin, meldeten sie aber nicht an Behörden. Open-Source-Projekte kämpfen mit AI-Slop-Commits, Cerebras wagt einen zweiten IPO-Anlauf. Trump bedroht Netflix wegen Board-Mitglied Susan Rice, Musks Super PAC verstößt gegen das Wahlrecht in Georgia. Das Pentagon arbeitet mit Google, OpenAI und XAI ohne Guardrails. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Intro (00:09:15) OpenAI Umsatzziel Anpassung (00:23:15) China destilliert Claude mit 24.000 Fake-Accounts (00:35:13) Citrini Research: The 2028 Global Intelligence Crisis (00:57:40) LinkedIn-Verifizierung: Was Persona mit deinen Daten macht (01:04:20) DHS baut biometrische Mega-Datenbank (01:08:50) OpenAI: Warnsignale vor Amoklauf nicht gemeldet (01:13:30) AI-Slop in Open Source und Cerebras IPO (01:19:07) Trump droht Netflix und Musks Wahlrechtsverstoß in Georgia (01:25:00) Waymo vs. Tesla und Pentagon ohne Guardrails (01:30:30) Trump-Regierung gegen europäische NGOs und DMA (01:32:57) Binance: $1,7 Mrd. Iran-Transaktionen, Whistleblower gefeuert (01:37:37) Steven Bartlett und Christian Angermayer (01:44:04) DJI-Saugroboter-Hack Shownotes OpenAI resets spending expectations, tells investors compute target is around $600 billion by 2030 - cnbc.com Anthropic beschuldigt chinesische Firmen, Daten von Claude zu stehlen. - wsj.com China nutzte Nvidia-Chip für KI-Modell trotz US-Verbot. - reuters.com Sanders warnt vor unkontrollierter Geschwindigkeit der KI-Revolution. - theguardian.com Post von pitdesi - x.com LinkedIn-Identität verifiziert - thelocalstack.eu DHS Search Engine - wired OpenAI-Mitarbeiter warnten Monate zuvor vor Kanadaschützen. - wsj.com Für Open-Source-Programme sind KI-Codierungswerkzeuge ein zweischneidiges Schwert. - techcrunch.com Cerebras Files Confidentially For a U.S. IPO - theinformation.com Trump droht Netflix wegen Rice im Vorstand Konsequenzen an. - bloomberg.com Trump sagt, Netflix wird 'Konsequenzen tragen', wenn Susan Rice bleibt. - theverge.com Georgia sagt, Elon Musks America PAC verletzte Wahlgesetz. - theverge.com Tesla Waymo - wired Musks xAI und Pentagon vereinbaren Nutzung von Grok in Geheimdiensten - axios.com Trump-Verbündete zielen auf europäische NGOs wegen Big-Tech-Regeln. - ftm.eu Binance Employees Find $1.7 Billion in Crypto Was Sent to Iranian Entities - nytimes.com Von Dragons' Den zu Disney: Steven Bartlett sammelt achtstellige Summe. - eu-startups.com Meta-Direktorin für KI-Sicherheit gab OpenClaw-Bot vollen Zugriff. - x.com DJI Romo mit Xbox-Controller. - x.com

Rolex im Champagner, KI-Influencerinnen mit Zahnspange, smarte Unterhosen und das Pentagon ohne Guardrails – was für eine Folge. Diese Episode startet dekadent im Männergruppen-Chat und endet beim selbstfahrenden Taxi mit offener Tür. Dazwischen geht's um: - Eine brisante Klage gegen Meta wegen angeblich nicht wirklich Ende-zu-Ende-verschlüsselter WhatsApp-Chats - Die Frage, warum man Nachrichten „nur für mich“ löscht - KI, die in deinem Namen Social-Media-Posts erstellt – sogar nach deinem Tod - Die KI-Influencerin „Juna“, die in Uniformen von Edeka, Deutsche Bahn & Co. auftritt – und was das für Marken bedeutet - Abmahnanwälte wie Löschkönig, die Google-Bewertungen entfernen lassen - Eine Unterhose mit Sensor zur Messung der täglichen „Wind-Ereignisse“ - Die Übernahme von OpenClaw durch OpenAI - Social Engineering für KI-Agents - Das US-Verteidigungsministerium vs. Anthropic - On-Device-KI bei Apple und die „Sensitive Content Warning“ bei FaceTime - Smarte Getränkeautomaten & Datenauswertung bei Five Guys - Selbstfahrende Taxis von Waymo - Und warum Barilla Spotify-Playlists nach Kochzeit baut Kurz gesagt: Das Internet ist kaputt. Aber unterhaltsam kaputt. -- Links zur Folge immer auf https://podcast.ichglaubeeshackt.de/ Wenn Euch unser Podcast gefallen hat, freuen wir uns über eine Bewertung! Feedback wie z.B. Themenwünsche könnt Ihr uns über sämtliche Kanäle zukommen lassen: Email: podcast@ichglaubeeshackt.de Web: podcast.ichglaubeeshackt.de Instagram: http://instagram.com/igehpodcast

(0:00) Intro (1:29) About the podcast sponsor: The American College of Governance Counsel. (2:15) Start of interview. *Reference to prior episode with Leo Strine (E100) (3:09) The Call of Conscience and The Current Moment (reference to his speech at the Weinberg Center in Oct of 2025) (5:18) Skepticism about Credibility of the Elite Among the Youth (7:02) The Ethical Muscle (8:20) Acknowledging Discrimination (8:56) The Climate Crisis (12:37) Shifts in Delaware Law (13:45) Return to Traditions. "What Delaware has done is return to its traditions that existed the entire time I was a judge." (14:28) The Controlled Company Debate and the MFW standard. (25:00) On the recent pushback against incorporating in Delaware: "I don't minimize the moment" (32:00) Section 220 Books and Records under SB21 (34:20) The statute was amended to provide more predictability. It actually looks like the Model Business Corporation Act. "I think both elements of this statute balance fairness and efficiency in a really good way." (39:54) Activist Judges and Delaware. "This was a nonpartisan initiative to restore confidence in Delaware's corporate law. I have the utmost respect for our judiciary, I'm proud to have been part of it, and I believe they will follow the law." (42:26) Delaware's Competitive Edge (48:25) The Rise of AI Companies (52:16) Energy Demand from AI. From guardrails to "trust us" (58:39) The Urgency of Leadership (1:01:59) Davos looks like a portrait of leadership failure "either eliminate it or make it real." Leo E. Strine, Jr., is Of Counsel at Wachtell, Lipton, Rosen & Katz. Prior to joining WLRK, he was the Chief Justice of the Delaware Supreme Court from early 2014 through late 2019.   You can follow Evan on social media at:X: @evanepsteinLinkedIn: https://www.linkedin.com/in/epsteinevan/ Substack: https://evanepstein.substack.com/__To support this podcast you can join as a subscriber of the Boardroom Governance Newsletter at https://evanepstein.substack.com/__Music/Soundtrack (found via Free Music Archive): Seeing The Future by Dexter Britain is licensed under a Attribution-Noncommercial-Share Alike 3.0 United States License

Want to live a better balanced life and win in marriage AND business at the same time? Purchase our (audio) book Tandem: The married entrepreneurs' guide for greater work-life balance. https://www.thetandembook.com/ Download the 5 Daily Habits to Thrive in Tandem https://marriedentrepreneur.co/5-daily-habits-download  Need some insight into how to balance it all? Schedule a free discovery call. https://marriedentrepreneur.co/lets-talk In this powerful and deeply personal episode of Thriving in Tandem, Robert and Kay Lee Fukui sit down with Ford Taylor, chairman of the U.S. Christian Chamber of Commerce board and founder of FSH Consulting Group. Ford shares his remarkable journey from scaling a struggling two-employee screen-printing shop into a $300M, 2,000-employee enterprise to ultimately redefining success when business growth came at the cost of his marriage, family, and personal well-being. His story is a sobering reminder that external success can hide internal brokenness—and that unchecked ambition often extracts a hidden toll at home. At the heart of the conversation is a defining moment every busy entrepreneur needs to hear. Ford recounts the night his six-year-old daughter asked him, through tears and ice cream, an innocent question that became the wake-up call that saved his life, redirected his priorities, and forced a courageous decision to realign business leadership with family leadership. Ford candidly opens up about insecurity, burnout, infidelity, and the hard road of rebuilding trust—offering hope to couples who feel trapped between providing financially and being emotionally present. The episode closes with practical wisdom for married entrepreneurs who want to win at work and at home. Ford outlines the guardrails he and his wife put in place—clear communication, shared decision-making around travel and opportunities, season-based priorities, and values-driven clarity. He introduces a simple but profound framework for balancing family, income, health, and community, reminding listeners that success is not about doing everything, but about intentionally choosing what matters most. This conversation is both a warning and an invitation: you don't have to hit rock bottom to change course. Website: https://www.transformlead.com/  Podcast & Resources: https://fordtaylortalks.com/  Key Takeaways Success without alignment is dangerous: Business growth means little if it costs your marriage, health, or relationship with your children. Children often see what adults ignore: Honest feedback—even from a six-year-old—can reveal what success metrics miss. Clarity creates peace: Defining values, priorities, and boundaries before opportunities arise removes guilt, conflict, and indecision. Guardrails protect trust: Openly discussing travel, time, and commitments strengthens both marriage and business leadership. Seasons matter: There are times to lean into work and times to lean into family—agreement and communication make both possible. You don't have to break to rebuild: Learn from others' stories so change can happen proactively, not painfully. Bio Jerry "Ford" Taylor grew up in Paris, Texas before heading to Texas A&M, where he earned his BBA in Business Management—but his most unforgettable college credential wasn't academic. Ford and his soon-to-be wife, Sandra, became campus favorites by teaching disco and country western dance to thousands of students, a 16-year run that revealed an early gift for equipping people with confidence and connection. After graduation, Ford stepped into retail management, unaware that the entrepreneurial chapter ahead would redefine his career. In 1982, Ford and Sandra purchased a struggling two-employee screen-printing shop, C.C. Creations, and transformed it into a powerhouse. Through acquisitions and growth, Ford eventually became CEO of Brazos Sportswear, a 2,000-employee, $300-million leader in screen printing and embroidery. His business impact earned him recognition as Texas Small Businessperson of the Year and a top-10 finalist nationally. In 1998, after decades of building and leading high-growth companies, Ford pivoted toward leadership consulting—first as a Senior VP at Great American Insurance, then as an ordained minister committed to helping leaders remove constraints and build healthier cultures. Today, Ford is the founder of FSH Consulting Group and Transformational Leadership, training organizations across the U.S. and around the world. He has delivered leadership development and conflict-resolution training in more than a dozen nations, authored the best-selling Relactional Leadership, co-wrote The Hike, and hosts the podcast Ford Taylor Talks. A sought-after speaker and board member—including Chairman of the Board for the U.S. Christian Chamber—Ford continues to blend business excellence with servant-leadership influence. He and Sandra, married since 1981, have three daughters and a grandson, and their legacy continues to ripple through every leader, team, and city they serve.

In this episode of ThimbleberryU, we explore the concept of building and maintaining confidence under uncertainty, especially for healthcare professionals who are already accustomed to high-stress environments. The financial world often mirrors the unpredictability of healthcare. Policy changes, staffing shortages, and burnout are compounded by volatile markets and alarming news cycles. Our focus is not on prediction, but on creating confidence through structured, thoughtful planning.We start by addressing how fear-driven headlines can tempt people into making financial decisions based on emotion. Amy reminds us that headlines are built to provoke urgency, not provide clarity. Market fear is often noise, not rooted in personal financial change. Reacting impulsively often locks in losses and increases risk. That's why we advocate for responsible inaction, a deliberate choice to stay the course unless personal circumstances demand a change.A strong financial plan assumes uncertainty. It's not built for calm seas, but for the real-world storms. That means including flexibility for job changes, a sufficient cash buffer, and the ability to adapt without starting over. Confidence grows from knowing your plan already factors in the unpredictable. It's not about guessing what's next. It's about trusting the structure you've created.We dig into the concept of guardrails. These are rules and pre-decisions made in calmer moments to help reduce decision fatigue. Healthcare professionals already follow protocols in their daily work, and the same concept applies to finances. These protocols guide us through emotionally charged situations and help prevent impulsive, regrettable moves.Cash plays a unique role in confidence. For healthcare professionals, cash isn't just an emergency buffer; it's emotional relief. It offers flexibility, covers transition periods, and acts as a cushion during market downturns. However, it's also important to avoid extremes. Too little cash creates anxiety, while too much slows growth. The right amount depends on career phase, income variability, and life responsibilities.We close with the reminder that certainty isn't the goal. Resilience is. When a plan is built to withstand real life, it allows money to support your lifestyle, not compete for your attention. That's where true confidence comes from.(00:00) - Intro: Confidence Under Uncertainty(00:47) - Why Healthcare Professionals Are Feeling Financial Strain(01:25) - The Emotional Impact of Headlines(02:12) - Market Fear vs. Personal Risk(03:08) - What “Doing Nothing” Really Means(04:51) - Is Your Financial Plan Built for Real Life?(06:04) - Guardrails and Reducing Decision Fatigue(07:30) - The Role of Cash in Building Confidence(10:48) - Cash as a Confidence Tool, Not a Cop-Out(11:00) - Final Thoughts: Confidence Comes from Structure(11:33) - How to Connect with Thimbleberry Financial To get in touch with Amy and her team at Thimbleberry Financial, call 503-610-6510 or visit thimbleberryfinancial.com.The ThimbleberryU Podcast is produced by JAG Podcast Productions - https://jagpodcastproductions.com/

Parenting is a sacred calling that changes with every season of life. Raising adult children can be both uniquely challenging and deeply rewarding. In Week 4 of our Guardrails sermon series, we explore the biblical guardrails for parenting sons and daughters as they step into adulthood. Learn how to release control, offer godly wisdom, maintain healthy boundaries, and trust God with the next chapter of their lives. Our prayer is that this message strengthens your faith and equips you to lead with grace, truth, and wisdom.

The Supreme Court imposes guardrails on Trump's tariffs; Trump says he is ‘mulling' a limited strike on Iran, but what does that really mean? Faith leaders, like Bishop William J. Barber II, have a long history of fighting government overreach and injustice. They're still fighting today To listen to this show and other MS podcasts without ads, sign up for MS NOW Premium on Apple Podcasts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Alexander Embiricos is the Head of Codex at OpenAI, leading the development of the company's flagship AI coding systems that power automated software generation, debugging and developer workflows. Under his leadership, Codex has become one of the most widely adopted AI developer platforms.  AGENDA: 05:13 Will Coding Be Automated? Why AI Could Create More Engineers, Not Fewer 07:17 Do We Need PMs? The "Undefined" Product Role and When It Matters 08:06 The Real AGI Bottleneck: Human Prompting, Validation, and "Too Much Effort" 13:04 Three Phases of Agents: Coding → Computer Use → Productized Workflows 13:52 Enterprise Reality Check: Security, Permissions, and Safe Agentic Browsing 17:57 Is Inference the New Sales and Marketing?  18:49 What % of Codex Was Written by AI? 21:33 Do OpenAI Use AI for Code Review? 23:31 Is there any stickiness to AI coding tools? 28:22 What Does "Winning" Mean at OpenAI? Mission, Competition, and Moats 32:04 The Future UI: Chat or Voice 34:10 Agent-to-Agent Workflows: Designing for Approvals, Compliance, and Automation 35:39 Do Coding Models Have a Data Moat? 36:50 How does Codex View Data: Will They Build Their Own Mercor and Turing? 37:27 How Does Codex View Consumer: Will They Compete with Lovable? 41:56 Benchmarks vs "Vibes": How People Actually Judge Models 42:43 Cursor's Edge and the Case for Building Your Own Models 47:37 Is SaaS Dead? What Still Defends Value (Humans + Systems of Record) 51:28 Talent Wars and Career Advice for New Engineers in the AI Era 01:01:03 Guardrails, the Fully AI-Managed Stack, and a 10-Year Vision for Everyone      

In this episode of the Shift AI Podcast, Scott Roberts, CISO at UiPath, joins host Boaz Ashkenazy for a deep dive into how agentic AI is reshaping enterprise security and automation—both for customers and inside UiPath itself.Scott shares his 25-year security journey spanning Microsoft's early Security Response Center days (including the era that produced Patch Tuesday and the Security Development Lifecycle), product security work across Windows and Xbox, time at AWS, and leadership roles at Google where he helped build the Android Security Assurance and Pixel Security teams and the Android Monthly Security Update process. He also discusses his work in security standards across IPsec, HTML5 encrypted media, GSMA device security, and most recently, contributions to emerging agentic AI security standards.The conversation then explores UiPath's evolution from traditional RPA into a unified platform that combines deterministic automation with agentic workflows. Scott walks through a real-world healthcare billing example where agentic automation increased deduplication accuracy dramatically by handling complex, variable inputs that classic RPA struggled with—while still keeping humans in the loop and feeding outcomes back into the system to improve over time.Boaz and Scott go deep on what's changed for CISOs in the post-LLM world: the need for guardrails, identity and entitlements for AI agents, and the challenge of end users copying sensitive information into consumer AI tools. Scott explains UiPath's approach: enable adoption while using nudges and policy controls to redirect sensitive workflows into enterprise-safe environments rather than relying solely on blocks.The episode closes with an eye-opening look at UiPath's internal “agentic threat analyst” system—an orchestration of 60+ agents that can investigate SIEM alerts end-to-end, generate structured incident writeups, and compress hours of analyst work into roughly a minute and a half. Scott's future-looking takeaway: as AI models evolve beyond “read-only” into potentially “read-write” systems that can update their foundational knowledge, the acceleration could be truly mind-blowing.This episode is essential listening for security leaders, enterprise operators, and automation teams trying to understand how agentic systems change not just productivity, but the entire security operating model.Chapters[00:01] Scott's Security Journey: Microsoft, Google, Coinbase, UiPath[01:33] Security Standards Work: From IPsec to Agentic AI Standards[04:08] What UiPath Does: Process Orchestration, RPA, and Enterprise Automation[06:28] RPA vs Agentic Automation: A Healthcare Billing Deduplication Example[09:17] The Agentic Stack: Canvas, Guardrails, and the AI Trust Layer[10:31] How LLMs Change Security: Data Controls, Access, and Governance[12:14] Internal Adoption at UiPath: AI Tooling by Persona (Legal, Finance, Engineering)[13:13] Code Velocity and Security: Agents Generating Code, Agents Verifying It[15:53] Two AI Security Worlds: Orchestration Platforms vs End-User Chat Interfaces[17:11] Securing End Users: Enterprise LLMs, Nudges, and Browser-Based Controls[19:07] Sovereign AI and Data Boundaries: Keeping Data in the Right Region[21:00] Over-Permissioning Meets Agents: Why AI Makes Old Problems Obvious Fast[22:21] The Next Wave: AI Transforming the Entire SDLC End-to-End[24:53] Security Pitfalls in Agentic SDLC: Misaligned Incentives and Permissions[26:02] UiPath's Agentic Threat Analyst: 60+ Agents, SIEM to Writeup Automation[30:07] What Changes for Humans: Faster “Time to Truth” and Higher-Leverage Work[32:09] Two-Word Future: “Mind Blowing” and Read/Write ModelsConnect with Scott RobertsLinkedIn: https://www.linkedin.com/in/scottroberts6/Connect with Boaz AshkenazyLinkedIn: https://www.linkedin.com/in/boazashkenazy/Email: info@shiftai.fm

EPISODE SUMMARY In this episode of Adventures in Legal Tech, host Jared Correia speaks with John Pothier, managing partner at Embedded Counsel, about one of the most common challenges lawyers face: launching a law firm without understanding technology. Using the fictional scenario of an in-house attorney ready to go solo but overwhelmed by tech decisions, the conversation breaks down the essential systems, tools, and strategic choices lawyers actually need when starting a modern practice. Rather than focusing on flashy software, the discussion emphasizes practical foundations — collaboration tools, workflow management, AI adoption, pricing models, marketing experimentation, and the realities of transitioning from in-house counsel to entrepreneurship. The episode also explores: Why Google Workspace may outperform traditional setups for small firms How cloud technology has lowered the barrier to starting a law practice The evolving role of AI in legal workflows Subscription and flat-fee pricing models replacing hourly billing Marketing experimentation and networking as growth drivers Burnout risks in in-house roles and the motivation to go independent Building partnerships and fractional legal services practices LINKS & RESOURCES redcavelegal.comembeddedcounsel.com john.pothier@embeddedcounsel.com KEYWORDS Legal tech for startups Starting a law firm Legal technology stack Google Workspace for lawyers Law firm technology basics Fractional general counsel Flat fee legal pricing Subscription legal services AI for lawyers Legal research technology Cloud law practice Legal entrepreneurship In-house counsel transition Law firm marketing strategy Legal networking Practice management tools Law firm automation Legal business development EPISODE HIGHLIGHTS 00:00–01:14 - Introducing a new approach to legal tech conversations 01:14–02:23 - The problem: starting a firm with zero technology knowledge 02:23–03:13 - Why Google Workspace became the foundation of a modern law firm 03:13–04:01 - Microsoft vs Google ecosystems and integration simplicity 04:01–05:11 - Project management challenges in legal practice tools 05:11–06:14 - AI tools lawyers are experimenting with today 06:14–06:57 - Guardrails and risks when using general AI platforms 06:57–07:24 - Cloud technology lowering startup costs for law firms 07:24–08:19 - The minimal tech stack needed to launch a practice 08:19–09:12 - John Pothier's unconventional path into law 09:12–10:08 - Entrepreneurship before traditional legal careers 10:08–11:10 - The reality of working as in-house counsel 11:10–12:19 - Burnout, workload pressure, and limited time off 12:19–13:41 - Why lawyers leave stable roles to start firms 13:41–15:00 - Choosing the right business partner in legal practice 15:00–17:00 - Balancing entrepreneurship with family life and risk 17:00–19:24 - Designing pricing models without industry transparency 19:24–20:37 - Flat fee vs hourly billing and client psychology 20:37–22:30 - The rise of fractional legal services 22:30–23:26 - Marketing experiments that didn't work 23:26–24:47 - Networking as the most reliable growth strategy 24:47–26:22 - Lessons learned from running AI-driven marketing ads 26:22–28:26 - Professional development while managing a law firm

Dennis Molinaro, former national security analyst and author of Under Assault: Interference and Espionage in China's Secret War on Canada, discusses our country's new strategic partnership with the Middle Kingdom. He argues the Carney government has failed to define its promised "guardrails", roll out a foreign agents registry, or impose any real consequences for years of Chinese foreign interference. He adds that Canada can maintain trade relations while protecting national interests, but warns that Canada's current approach shows that the Chinese can take advantage of Canada with no consequences.   The Hub is Canada's fastest growing independent digital news outlet.   Subscribe to The Hub's podcast feed to get our best content when you are on the go: https://tinyurl.com/3a7zpd7e (Apple)  https://tinyurl.com/y8akmfn7 (Spotify) Follow The Hub on X: https://x.com/thehubcanada?lang=en   CREDITS: Amal Attar-Guzman - Producer Elia Gross - Editor Harrison Lowman - Host Sean Kilpatrick/The Canadian Press - Photo Credit   To contact us, sign up for updates, and access transcripts email support@thehub.ca  

In this interview Vijoy Pandey from Cisco Outshift discusses the "Internet of Agents," the donation of the AGNTCY framework to the Linux Foundation, and the new open-source SRE tool "Cape." Plus, how Swisscom is using agentic workflows to validate networks. Big thanks to Cisco for sponsoring this video and sponsoring my trip to Cisco Partners' Summit 2025 // Vijoy Pandey SOCIALS // LinkedIn: / vijoy X: https://x.com/vijoy // David's SOCIAL // Discord: discord.com/invite/usKSyzb Twitter: www.twitter.com/davidbombal Instagram: www.instagram.com/davidbombal LinkedIn: www.linkedin.com/in/davidbombal Facebook: www.facebook.com/davidbombal.co TikTok: tiktok.com/@davidbombal YouTube: / @davidbombal Spotify: open.spotify.com/show/3f6k6gE... SoundCloud: / davidbombal Apple Podcast: podcasts.apple.com/us/podcast... // MY STUFF // https://www.amazon.com/shop/davidbombal // SPONSORS // Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com // MENU // 00:00 - Coming Up 00:37 - Introduction 01:00 - What is Internet of Agents? 02:11 - The 4 Steps of Internet of Agents 03:25 - Project AGNTCY 04:40 - A DNS of the Agentic Internet 06:07 - To What End is the Agency Stack 07:21 - Use-cases for the Agency Stack 11:28 - The Future of the Agency Stack 12:55 - Guardrails for Agents 13:38 - Timeline for the Integration of Agents 14:51 - Outro Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! Disclaimer: This video is for educational purposes only. #agenticai #agntcy #cisco ‪@Cisco‬

Birgitta Elfversson, Non-executive director at Netlight Consulting AB Lars Elfversson, VP/Co-Founder, Netlight Consulting AB In fragmented industries, roll-ups are one of the most powerful strategies available. But high-volume acquisition programs come with hidden risks. Without discipline, complexity can quickly overwhelm value creation. In this episode, Birgitta Elfversson, Non-executive director at Netlight Consulting AB, and Lars Elfversson, VP/Co-Founder, Netlight Consulting AB, share hard-won lessons from building and governing multiple roll-up platforms. Drawing on their experience as operators, board members, and investors, they outline the structural guardrails required to execute consolidation strategies successfully. The conversation goes beyond sourcing and valuation to issues that determine long-term success. What you'll learn: Why small pipelines create dangerous decision pressure How subtle drift reshapes portfolios over time The importance of defining and defending an acquisition framework Why most roll-ups fail because of people, not numbers How inconsistent integration across acquisitions compounds complexity Why clarity (whether full, partial, or no integration) must be defined early and communicated clearly They also discuss governance discipline, board oversight, founder psychology, and the realities of market timing and exit decisions. If you're building or advising a roll-up platform, this episode is a practical guide to avoiding deal fever and installing the guardrails that protect strategy. _____________________ This episode is sponsored by DealRoom The best M&A teams close deals faster...not because they work harder, but because they have better systems. DealRoom helps you manage your entire deal lifecycle from target identification through close. No more hunting for documents or wondering what's blocking progress. Request a Demo today  ____________________ Become an M&A Scientist: www.mascience.com/membership - $995/year for full access to the Intelligence Hub ____________________ Episode Chapters  [00:02:38] From Organic Builder to PE Rollups – Lars and Birgitta contrast building companies 100% organically vs. scaling through programmatic M&A. [00:10:07] Validating the Rollup Thesis – How PE firms test market fundamentals, recruit operators, and pressure-test early industry hypotheses. [00:13:02] Defining the Acquisition Framework – Setting guardrails on size, profitability, services, and integration logic before chasing deals. [00:15:46] Avoiding Deal Fever with Massive Pipelines – Why long target lists prevent desperation, strategy drift, and "must-win" mistakes. [00:21:07] Saving Your Silver Bullets – How board members influence management without overplaying authority or derailing alignment. [00:23:43] Why Deals Go Off the Rails – How incentives, scarcity, and human bias quietly nudge teams away from original criteria. [00:29:10] Picking the Right Companies to Buy – The three core filters: business model, size compatibility, and profitability profile. [00:46:06] Integration Depth Drives Exit Value – Why partial integration destroys valuation and how buyers now scrutinize ERP, systems, and operational cohesion. [01:01:56] Signing 27 Deals in One Day – A firsthand look at high-velocity rollups and the operational intensity behind scaling platforms. [01:02:37] The Craziest Thing in M&A – Accounting "creativity," forward-recognized revenue, and a deal so distorted it forced a divestiture and loss. ____________________ Questions, comments, concerns?Follow Kison Patel for behind-the-scenes insights on modern M&A.

Emily Williams Knight, president and CEO of the Texas Restaurant Association, joins this episode of the Food On Demand podcast to discuss restaurant adoption of AI, food delivery policy changes, third-party delivery friction points and more.  

Cory King reveals how building a cash machine, mastering the BRRRR Strategy, and protecting family priorities can transform a driven agent into a disciplined wealth builder with lasting freedom.See article: https://www.unitedstatesrealestateinvestor.com/from-side-hustle-to-hardcore-freedom-building-success-with-cory-king/(00:00) - Welcome to The REI Agent and Introduction of Cory King(01:10) - Cory's Real Estate Overview and Investor Background(03:20) - Buying a First Home at 22 During the 2009 Market Crash(05:40) - Early House Hacking and Covering the Mortgage with Roommates(07:45) - Flipping Comic Books and Discovering Land Auctions(10:30) - Buying Vacant Lots and Creating Arbitrage Opportunities(13:15) - Selling the Restaurant Business and Moving to Knoxville(15:10) - Getting Licensed to Support Investing Goals(17:20) - Building a Cash Machine Versus a Wealth Machine(19:45) - Why Agents Should Invest in the Markets They Sell(22:10) - BRRRR Strategy and Long Term Rental Planning(24:40) - Leaving Money in Deals and Thinking Long Term(26:50) - Avoiding the Check to Check Agent Trap(29:00) - Risk Tolerance and Acting During Market Fear(31:15) - Investment Options Beyond Rentals Including Syndications(33:30) - Analysis Paralysis and Taking Imperfect Action(35:20) - Building The Caza Group and Serving the Investor Niche(37:40) - Creating a Specialist Team Model Like a Superhero Network(39:50) - Why Property Management Is Not in the Immediate Plan(41:20) - Launching and Growing the GRID Investor Meetup(43:40) - Hosting Events as a Lead Funnel for Agents(45:10) - Family Life, Glass Versus Rubber Balls, and Guardrails(46:10) - Golden Nuggets, Book Recommendations, and Closing Thoughts(46:48) - Episode Outro and DisclaimerContact Cory Kinghttps://www.thecazagroup.com/caza_knoxville_teamhttps://www.facebook.com/CoryKingREALTOR/https://www.instagram.com/cory__king_/https://www.linkedin.com/in/cory-king-984b6b4b/Cory King reminds us that freedom is built on discipline, focus, and courage to act before you feel ready. Build your cash machine, fund your long-term vision, protect your glass balls, and never let success cost your peace. If this conversation sparked something in you, take the next step and visit https://reiagent.comIs success destroying your peace? Most pros grind until they break. Download The Investor's Life Balance Sheet: A Holistic Wealth Audit to see if you are building a legacy or heading for burnout. Presented by The REI Agent Podcast & United States Real Estate Investor® https://sendfox.com/lp/m4jrl

We're interrupting your regularly scheduled Hustle & Flowchart episode to showcase a recent episode of The Next Wave Podcast. Joe Fier joined Matt Wolfe and co-host Maria Gharib to dive deep into the new world of Delphi AI — the "digital minds" platform that's revolutionizing how creators and entrepreneurs interact with their audiences. The conversation starts with Joe Fier breaking down what Delphi is, how it works, and why it's a game-changer for anyone who's tired of answering repetitive questions or wants to scale their expertise online.The episode gets hands-on, showcasing a live demo with Delphi-powered digital clones — including an AI "Arnold Schwarzenegger" and a digital version of Matt Wolfe himself. Joe explains how these AI clones are trained on content sources like YouTube, podcasts, and websites, allowing them to recreate your speaking style and answer questions 24/7. Listeners hear the practical use cases for Delphi, from monetizing access (like Tony Robbins' $99/month AI bot), to lead generation, and as a time-saving tool for creators, coaches, or business owners. The conversation is loaded with real-world examples, humor, and candid insights into the future of AI-powered personal branding. If you're curious about leveraging AI in your business or want to see how digital clones can save you time (and even make money), this episode is a must-listen.Topics DiscussedWhat Is Delphi and Digital Minds?Real-Life Examples and Live DemoTraining Your AI CloneHandling Repeat Questions & Time ManagementCustomization, Guardrails, and Speaking StyleManaging Uncharted QuestionsMonetizing Your Digital CloneCRM & IntegrationsActions & AutomationsEthics, Verification, and Brand SafetyLaunching Your Own Clone for FreeBehind the Scenes FriendshipResources MentionedDelphi: http://hustleandflowchart.com/delphiThe Next Wave Podcast: https://www.thenextwave.showMatt Wolfe: https://www.youtube.com/@mreflowMaria Gharib: https://www.linkedin.com/in/maria-gharib-091779b9/Connect with Joe

In this episode, we explore Google's integration of music-making capabilities into Gemini, utilizing the new Lyria 3 model. We also discuss its features, such as 30-second track generation with lyrics and cover art, and its expansion into YouTube's Dream Track.Chapters03:10 Lyria 3 Features and Capabilities07:24 Guardrails and Watermarking12:12 AI Music Industry Landscape15:07 Lyria 3 vs. Dedicated Music AI LinksGet the top 50+ AI Models for $9 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

In this episode, we explore Google's integration of music-making capabilities into Gemini, utilizing the new Lyria 3 model. We also discuss its features, such as 30-second track generation with lyrics and cover art, and its expansion into YouTube's Dream Track.Chapters03:10 Lyria 3 Features and Capabilities07:24 Guardrails and Watermarking12:12 AI Music Industry Landscape15:07 Lyria 3 vs. Dedicated Music AI LinksGet the top 50+ AI Models for $9 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we explore Google's integration of music-making capabilities into Gemini, utilizing the new Lyria 3 model. We also discuss its features, such as 30-second track generation with lyrics and cover art, and its expansion into YouTube's Dream Track.Chapters03:10 Lyria 3 Features and Capabilities07:24 Guardrails and Watermarking12:12 AI Music Industry Landscape15:07 Lyria 3 vs. Dedicated Music AI LinksGet the top 50+ AI Models for $9 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we explore Google's integration of music-making capabilities into Gemini, utilizing the new Lyria 3 model. We also discuss its features, such as 30-second track generation with lyrics and cover art, and its expansion into YouTube's Dream Track.Chapters03:10 Lyria 3 Features and Capabilities07:24 Guardrails and Watermarking12:12 AI Music Industry Landscape15:07 Lyria 3 vs. Dedicated Music AI LinksGet the top 50+ AI Models for $9 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

In this episode, we explore Google's integration of music-making capabilities into Gemini, utilizing the new Lyria 3 model. We also discuss its features, such as 30-second track generation with lyrics and cover art, and its expansion into YouTube's Dream Track.Chapters03:10 Lyria 3 Features and Capabilities07:24 Guardrails and Watermarking12:12 AI Music Industry Landscape15:07 Lyria 3 vs. Dedicated Music AI LinksGet the top 50+ AI Models for $9 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we explore Google's integration of music-making capabilities into Gemini, utilizing the new Lyria 3 model. We also discuss its features, such as 30-second track generation with lyrics and cover art, and its expansion into YouTube's Dream Track.Chapters03:10 Lyria 3 Features and Capabilities07:24 Guardrails and Watermarking12:12 AI Music Industry Landscape15:07 Lyria 3 vs. Dedicated Music AI LinksGet the top 50+ AI Models for $9 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we explore Google's integration of music-making capabilities into Gemini, utilizing the new Lyria 3 model. We also discuss its features, such as 30-second track generation with lyrics and cover art, and its expansion into YouTube's Dream Track.Chapters03:10 Lyria 3 Features and Capabilities07:24 Guardrails and Watermarking12:12 AI Music Industry Landscape15:07 Lyria 3 vs. Dedicated Music AI LinksGet the top 50+ AI Models for $9 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we explore Google's integration of music-making capabilities into Gemini, utilizing the new Lyria 3 model. We also discuss its features, such as 30-second track generation with lyrics and cover art, and its expansion into YouTube's Dream Track.Chapters03:10 Lyria 3 Features and Capabilities07:24 Guardrails and Watermarking12:12 AI Music Industry Landscape15:07 Lyria 3 vs. Dedicated Music AI LinksGet the top 50+ AI Models for $9 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Are you getting a little too personal with someone who isn't your wife? Emotional affairs don't explode overnight—they bleed out slowly, one conversation at a time. In this special series of 'Average Joe' conversations, Jim Ramos sits down with friend Paco Arenas for an extremely practical conversation about building guardrails that protect both your character and your marriage. Drawing from Jim's upcoming book, Guardrails: 10 Boundaries for an Unbreakable Marriage, they unpack real-life stories and wisdom from decades of marriage to set clear boundaries every man needs to pursue.  Jim's newest book, Guardrails: Ten Boundaries for an Unbreakable Marriage will be releasing in April 2026. Sign up to be notified when it's available at https://meninthearena.org/guardrails. I Can Only Imagine 2 hits theaters February 20th, 2026! Watch the trailer and get tickets aticanonlyimagine.com. Every man needs a locker room. Apply to join an exclusive brotherhood of like-minded men in The Locker Room, our monthly live Zoom Q&A call! We meet in the Locker Room once a month for community, fellowship, laughter, and to help each other find biblical answers to life's difficult questions. Locker Room members also get access to monthly exclusive leadership trainings, historically only available to the staff team at Men in the Arena. Membership is by application only. Go here to apply: https://patreon.com/themeninthearena Get Jim Ramos' USA TODAY Bestselling book, Dialed In: Reaching Your Full Capacity as a Man of God (https://tinyurl.com/dialedinbook)

Andrew, Ben, and Tom discuss Elliot's stake in Norwegian, YTD bond performance, and Anthropic's plan for AI guardrails. Join our live YouTube stream Monday through Friday at 8:30 AM EST:http://www.youtube.com/@TheMorningMarketBriefingPlease see disclosures:https://www.narwhal.com/disclosure

In this episode of Next in Media, I sit down live at the Kochava Summit in Sandpoint, Idaho, with Charles Manning, founder and CEO of Kochava. We go deep on one of the most pressing questions facing the industry right now: how profound is the shift to agentic advertising and AI-driven workflows? Charles argues it is not a decade-long evolution like programmatic was. It is breathtakingly faster, and the companies that understand how to use their first-party data as a competitive kernel, rather than leaking it to the walled gardens, are the ones that will come out ahead. He draws a compelling analogy: if programmatic changed the auction, AI is about to change the workflow.We also dig into Kochava's CTV journey, from its mobile app roots to building measurement tools adopted by LG, Samsung, Vizio, and Roku, and how the view-and-do combo between the TV screen and the mobile device is creating powerful new outcome-based measurement opportunities for brands. Charles breaks down what holding companies should fear (and fix), why the ad tech supply chain is due for serious consolidation, and why he predicts a wave of take-privates and roll-ups followed by a bonanza of public offerings over the next two years. He also introduces Station One, Kochava's integrative AI hub that acts like a Slack for AI workflows, designed to help teams transform how they work without giving up control of their data. Key Highlights:⚡ AI vs. Programmatic: Charles explains why the shift to agentic advertising is moving breathtakingly faster than programmatic did. While programmatic took over a decade to fully reshape the auction, AI is set to transform the entire workflow within the next 16 months.

Imagine giving middle and high school students a full week to explore careers without grades, homework, or “regular” classes. That's the core idea behind Camanche Community School District's J-term: a dedicated pause in the academic grind that turns school into a career-exploration lab, where 5th-12th grade students can test-drive career fields, build confidence, and discover options they didn't even know existed. That's right: J-term is no longer only reserved for the college experience.What makes this model so compelling is the way it engages students & teachers in a way that the traditional classroom never could. Middle and High School Principals Melissa Phillips and Josh Davis saw higher engagement and clearer direction in this real-world, hands-on week of learning. You see it in the outcomes and reactions: the high school generated 100+ internships, the middle school reported zero office referrals that week, attendance hit a high-water mark, and the community showed up in force.In this episode:Why a “no grades, no homework” week can reveal a different version of students and teachers.How J-term creates equity in exposure by removing barriers families can't always overcome on their own. Why employers and community partners are more likely to say “yes” to short, high-impact experiences than longer commitments. How a J-term can reshape course choices and future plans, helping students move from “I don't know” to a real next step. 3 Big Takeaways from this Episode:1. A grades-free, hands-on week can encourage a different level of student engagement. At the middle school, they saw zero office referrals and “not one student” sent down for behavior during J-term. The deeper lesson is that when the goal shifts from performance to exploration, more students lean in because the experience finally matches how they learn best. 2. J-term is an equity play because it reduces the “who you know” advantage. The high school framed it explicitly as removing barriers for families who “don't have the means” or the pathway to get students these opportunities on their own. Guardrails like requiring internships not be at a student's current job help ensure the week is about new exposure, not just extending what already exists. 3. Short, real-world exposure can change trajectories faster than a semester of coursework. One student had such a strong internship experience that she reworked her schedule to keep going back, and it shifted her likely postsecondary plan toward education. The big insight is that a one-week “test drive” creates clarity either way, helping students confirm a direction or rule one out while the stakes are still low. Resources in this Episode:Read about Camanche CSD's J-Term weekVisit Camanche CSDSee more on the episode page!We want to hear from you! Send us a text.Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn

In this episode of the B2B Marketing Excellence & AI Podcast, Donna Peterson discusses a growing leadership issue inside companies using AI.Many teams are increasing speed. Fewer are defining direction.AI accelerates output, but without documented guardrails, it can quietly amplify misalignment across departments. When messaging, tone, and strategy drift, trust weakens, especially in long sales cycle B2B environments.Using a practical analogy from Olympic Super-G skiing, Donna explains why leaders must define the boundaries that keep teams aligned and moving efficiently toward the same goal.In This Episode:Why AI increases both speed and riskHow unclear direction creates internal driftThe leadership cost of repeating yourselfWhat true AI guardrails includeWhy monthly AI alignment meetings are essentialThe risk of layering new tools without structureHow shared templates improve consistencyThe connection between alignment and trustKey Leadership Insight:If you are repeating tone, mission, or positioning guidance across departments, it may not be a personnel issue. It may be a documentation issue.AI amplifies whatever structure exists.Without guardrails, inconsistency scales faster.With guardrails, trust compounds.Practical Action Steps. After listening, consider:Writing your company's WHY in one clear paragraph.Defining your tone in five specific words.Reviewing whether current AI outputs reflect that tone.Evaluating whether your team is aligned around shared templates.Scheduling a monthly AI alignment discussion if one does not exist.If this conversation resonates, the full episode provides detailed examples and implementation guidance you can apply immediately. Listen to the complete episode to understand how to build AI guardrails that protect your mission and strengthen long-term growth.If your organization is ready to bring structure and clarity to your AI implementation, we would welcome the opportunity to work with your leadership team. *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies.*** Subscribe to the B2B Marketing Excellence & AI Podcast for weekly insights into marketing, leadership, and the future of AI.

Jason expresses deep concern regarding the rapid rise of Artificial Intelligence. He argues that this technology is far more than a simple tool; it is a transformative force capable of disrupting the global labor force and eroding personal privacy through advanced surveillance. Because AI can now think and outpace human intelligence, Jason explains why citizens must pressure lawmakers to establish urgent guardrails before it is too late to control. Bring on the Stupid: A Norwegian biathlete admits to cheating on his girlfriend during a post-win interview for his bronze medal. Learn more about your ad choices. Visit podcastchoices.com/adchoices

BONUS: When AI Decisions Go Wrong at Scale—And How to Prevent It We've spent years asking what AI can do. But the next frontier isn't more capability—it's something far less glamorous and far more dangerous if we get it wrong. In this episode, Ran Aroussi shares why observability, transparency, and governance may be the difference between AI that empowers humans and AI that quietly drifts out of alignment. The Gap Between Demos and Deployable Systems "I've noticed that I watched well-designed agents make perfectly reasonable decisions based on their training, but in a context where the decision was catastrophically wrong. And there was really no way of knowing what had happened until the damage was already there."   Ran's journey from building algorithmic trading systems to creating MUXI, an open framework for production-ready AI agents, revealed a fundamental truth: the skills needed to build impressive AI demos are completely different from those needed to deploy reliable systems at scale. Coming from the EdTech space where he handled billions of ad impressions daily and over a million concurrent users, Ran brings a perspective shaped by real-world production demands.  The moment of realization came when he saw that the non-deterministic nature of AI meant that traditional software engineering approaches simply don't apply. While traditional bugs are reproducible, AI systems can produce different results from identical inputs—and that changes everything about how we need to approach deployment. Why Leaders Misunderstand Production AI "When you chat with ChatGPT, you go there and it pretty much works all the time for you. But when you deploy a system in production, you have users with unimaginable different use cases, different problems, and different ways of phrasing themselves."   The biggest misconception leaders have is assuming that because AI works well in their personal testing, it will work equally well at scale. When you test AI with your own biases and limited imagination for scenarios, you're essentially seeing a curated experience.  Real users bring infinite variation: non-native English speakers constructing sentences differently, unexpected use cases, and edge cases no one anticipated. The input space for AI systems is practically infinite because it's language-based, making comprehensive testing impossible. Multi-Layered Protection for Production AI "You have to put in deterministic filters between the AI and what you get back to the user."   Ran outlines a comprehensive approach to protecting AI systems in production:   Model version locking: Just as you wouldn't randomly upgrade Python versions without testing, lock your AI model versions to ensure consistent behavior Guardrails in prompts: Set clear boundaries about what the AI should never do or share Deterministic filters: Language firewalls that catch personal information, harmful content, or unexpected outputs before they reach users Comprehensive logging: Detailed traces of every decision, tool call, and data flow for debugging and pattern detection   The key insight is that these layers must work together—no single approach provides sufficient protection for production systems. Observability in Agentic Workflows "With agentic AI, you have decision-making, task decomposition, tools that it decided to call, and what data to pass to them. So there's a lot of things that you should at least be able to trace back."   Observability for agentic systems is fundamentally different from traditional LLM observability. When a user asks "What do I have to do today?", the system must determine who is asking, which tools are relevant to their role, what their preferences are, and how to format the response.  Each user triggers a completely different dynamic workflow. Ran emphasizes the need for multi-layered access to observability data: engineers need full debugging access with appropriate security clearances, while managers need topic-level views without personal information. The goal is building a knowledge graph of interactions that allows pattern detection and continuous improvement. Governance as Human-AI Partnership "Governance isn't about control—it's about keeping people in the loop so AI amplifies, not replaces, human judgment."   The most powerful reframing in this conversation is viewing governance not as red tape but as a partnership model. Some actions—like answering support tickets—can be fully automated with occasional human review. Others—like approving million-dollar financial transfers—require human confirmation before execution. The key is designing systems where AI can do the preparation work while humans retain decision authority at critical checkpoints. This mirrors how we build trust with human colleagues: through repeated successful interactions over time, gradually expanding autonomy as confidence grows. Building Trust Through Incremental Autonomy "Working with AI is like working with a new colleague that will back you up during your vacation. You probably don't know this person for a month. You probably know them for years. The first time you went on vacation, they had 10 calls with you, and then slowly it got to 'I'm only gonna call you if it's really urgent.'"   The path to trusting AI systems mirrors how we build trust with human colleagues. You don't immediately hand over complete control—you start with frequent check-ins, observe performance, and gradually expand autonomy as confidence builds. This means starting with heavy human-in-the-loop interaction and systematically reducing oversight as the system proves reliable. The goal is reaching a state where you can confidently say "you don't have to ask permission before you do X, but I still want to approve every Y."   In this episode, we refer to Thinking in Systems by Donella Meadows, Designing Machine Learning Systems by Chip Huyen, and Build a Large Language Model (From Scratch) by Sebastian Raschka.   About Ran Aroussi Ran Aroussi is the founder of MUXI, an open framework for production-ready AI agents. He is also the co-creator of yfinance (with 10 million downloads monthly) and founder of Tradologics and Automaze. Ran is the author of the forthcoming book Production-Grade Agentic AI: From Brittle Workflows to Deployable Autonomous Systems, also available at productionaibook.com.   You can connect with Ran Aroussi on LinkedIn.

Pride has taken hold of our culture in epidemic proportions, shaping values, identity, and truth. While believers live in the world, we are not called to be of the world. In Week 3 of our Guardrails sermon series, we examine the biblical guardrails that help Christians navigate culture with humility, conviction, and faithfulness to God's Word. Discover how to stand firm in truth without losing compassion, and how to reflect Christ in a pride driven society.

COLLECTION TITLE - SERMON TITLE - SPEAKER We hope this message encourages and inspires you!Want more like this from CoastLife Church?YouTube: CoastLife Church - YouTubeFacebook: https://www.facebook.com/mycoastlifechurchInstagram: https://instagram.com/coastlifechurch...GIVE: https://www.mycoastlifechurch.com/giveLooking to get connected? We'd love to meet you! We offer several different ways to connect and be in community: Join a Together Group, Register for CoastLife+, or become a part of our Serve Team today by visiting: CoastLife Connect Card - CoastLife Church (churchcenter.com)Give: To support and be a part of or growth and global impact click here: https://www.mycoastlifechurch.com/give

Good Morning Voice Family! Today is the final week of our Guardrails series. Can't wait to hear what Pastor Taka brings to us today! If you are new to Voice Church, please take a moment to fill out the connection card at www.voice.church/connect to get more info and get connected to the church family!

As LLM apps evolve from simple chatbots to tool-using agents, the attack surface explodes, and the old security playbooks don't hold. In this episode of Alexa's Input (AI), Alexa Griffith sits down with Ian Webster, co-founder and CEO of PromptFoo, to break down what AI security actually looks like in practice: automated red teaming, prompt injection and jailbreak testing, evaluation workflows that scale, and why “guardrails alone” is not a security strategy.Ian shares how PromptFoo grew from a side project into a widely adopted open-source standard, what it means to raise multi-millions in a fast-moving market, and how enterprises are approaching the full vulnerability lifecycle, from finding issues to triage, remediation, and validation. Ian also discusses the “lethal trifecta” that makes agents fundamentally risky (untrusted input + sensitive data + exfil path), and why MCP security isn't just about users and tools, it's about dangerous tool combinations and rogue servers.Podcast LinksWatch: ⁠⁠⁠⁠⁠https://www.youtube.com/@alexa_griffith⁠⁠⁠⁠⁠Read: ⁠⁠⁠⁠⁠⁠⁠https://alexasinput.substack.com/⁠⁠⁠⁠⁠⁠⁠Listen:⁠⁠⁠ https://creators.spotify.com/pod/profile/alexagriffith/⁠⁠⁠More: ⁠⁠⁠⁠⁠https://linktr.ee/alexagriffith⁠⁠⁠⁠⁠Website: ⁠⁠⁠⁠⁠https://alexagriffith.com/⁠⁠⁠⁠⁠LinkedIn: ⁠⁠⁠⁠⁠https://www.linkedin.com/in/alexa-griffith/⁠⁠⁠⁠Find out more about the guest at:PromptFoo Website: https://www.promptfoo.dev/Github: https://github.com/promptfoo/promptfooIan's LinkedIn: https://www.linkedin.com/in/ianww/Chapters00:00 Introduction to AI Security Challenges02:06 Funding and Growth of PromptFu06:16 The Genesis of PromptFu11:05 Career Journey and Lessons Learned12:53 Understanding AI Red Teaming17:36 Recent AI Security Vulnerabilities19:46 The Dual Nature of AI in Security21:47 Understanding the Lethal Trifecta in AI Security24:22 Exploring Model Context Protocol (MCP) and Its Security Implications26:22 Common Security Issues in MCP Systems28:17 The Role of Identity and Permissions in AI Security30:00 Practical Implications of Using PromptFoo for Developers31:33 Evaluating Language Models: Challenges and Techniques36:34 The Limitations of Guardrails in AI Security38:25 Best Practices for Engineers in AI Development39:58 Future Trends in AI and Security42:28 Everyday Applications of AI and Language Models

0000019c-6597-d4ec-a9bd-7fb71f3a0000https://www.wvik.org/podcast/good-morning-from-wvik-news/2026-02-16/proposed-legislation-for-guardrails-on-data-centersRenata SagoProposed Legislation for Guardrails on Data Centers

AI models are powerful, but they don't forget. And that's a problem.They hallucinate. They inherit bias. They absorb sensitive data. And once they're trained, fixing those issues is painfully expensive. Retraining takes weeks and maybe tens of millions of dollars. And any guardrails the AI company puts up are brittle.What if you could perform surgery on the model itself?In this episode of TechFirst, John Koetsier sits down with Ben Luria, co-founder of Hirundo, to explore machine unlearning, a new approach that selectively removes unwanted data, behaviors, and vulnerabilities from trained AI systems.Hirundo claims it can:• Cut hallucinations in half• Massively reduce bias• Reduce successful prompt injection attacks by over 90%• Do it in under an hour on a single GPU• Preserve benchmark performanceInstead of adding more guardrails, machine unlearning works inside the model, identifying problematic weights, isolating behavioral vectors, and surgically removing risks without degrading quality.If AI is going mainstream in enterprises, it needs a remediation layer. Is machine unlearning the missing piece?⸻GuestBen LuriaCo-Founder, HirundoNhirhttps://www.hirundo.io⸻Topics Covered• Why AI models “can't forget”• The difference between hallucinations and inaccuracies• Why guardrails aren't enough• How prompt injection works — and how to reduce it• Removing PII and noncompliant training data• AI security at the model level• Why machine unlearning could become standard by 2030⸻If you're building, deploying, or investing in AI, this is a conversation you can't miss.

The Gene Simmons of Data Protection: Protegrity's KISS MethodToday, we are releasing our final FINAL episode from our series, entitled The Gene Simmons of Data Protection - the KISS Method, brought to you by none other than Protegrity. Protegrity is AI-powered data security for data consumption, offering fine grain data protection solutions, so you can enable your data security, compliance, sharing and analytics.Episode Title: Navigating the Future of Data Management: Type Systems, Quantum Computing, and Protegrity's InnovationsIn our final-FINAL episode, we are speaking with Ave Gatton, Director of Generative AI. We talk about how AI safety doesn't end with training, it begins with inference. We explore the overlooked frontier of AI security, from prompt-injection, data leakage, and model manipulation. Ave helps to understand how you can build guardrails that operate in real time, and adapt to evolving threats.QuestionsWhat are inference-time threats and why are they becoming a critical focus in AI security? How do inference-time risks differ from training-time risks? Why is inference-time protection critical for safe, scalable AI adoption? How do inference-time threats vary across industries? Is there any industry where these attacks are most prevalent? Why are traditional security models insufficient at inference? What is the impact of inference-time breaches on AI adoption? What role does compliance play in shaping inference-time guardrails?What practical steps can organizations take to secure inference today? How can businesses balance performance with security when adding guardrails? Linkshttps://www.protegrity.com/https://www.linkedin.com/in/averell-gatton/Support this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

What does it really mean to live above reproach in a culture that constantly tests your integrity? In this special series of 'Average Joe' conversations, Jim Ramos sits down with long-time friend Kent Mahelona for an extremely practical conversation about building guardrails that protect both your character and your marriage. Drawing from Jim's upcoming book, Guardrails: 10 Boundaries for an Unbreakable Marriage, they unpack real-life stories and wisdom from decades of marriage to set clear boundaries every man needs to pursue. Jim's newest book, Guardrails: Ten Boundaries for an Unbreakable Marriage will be releasing in April 2026. Sign up to be notified when it's available at https://meninthearena.org/guardrails. This episode is sponsored by Compassion International. Our goal is for the Men in the Arena tribe to sponsor 1,000 boys over the coming year! Help us reach that goal and make a difference in a child's life today. When you sponsor a child using our link, you'll receive a free copy of Jim's book, Dialed In: Reaching Your Full Capacity as a Man of God! I Can Only Imagine 2 hits theaters February 20th, 2026! Watch the trailer and get tickets aticanonlyimagine.com. Every man needs a locker room. Apply to join an exclusive brotherhood of like-minded men in The Locker Room, our monthly live Zoom Q&A call! We meet in the Locker Room once a month for community, fellowship, laughter, and to help each other find biblical answers to life's difficult questions. Locker Room members also get access to monthly exclusive leadership trainings, historically only available to the staff team at Men in the Arena. Membership is by application only. Go here to apply: https://patreon.com/themeninthearena Get Jim Ramos' USA TODAY Bestselling book, Dialed In: Reaching Your Full Capacity as a Man of God (https://tinyurl.com/dialedinbook)

Lawyers are understandably cautious about AI—but the real risk may be using it the wrong way. In episode 601 of the Lawyerist Podcast, Zack Glaser sits down with Matt Spiegel of Lawmatics to explore how agentic AI is changing the way law firms handle intake and evaluate potential clients.  Matt breaks down why surface-level AI tools fall short, how agentic AI can make informed recommendations instead of opaque scores, and what it takes to build trust in automated decision-making. They also discuss how better intake systems can reduce wasted time, improve lead quality, and support more intentional firm growth.  Listen to our other episodes on Artificial Intelligence in Legal Practice.  #497: Real Talk About Artificial Intelligence in Your Office, with Ben Apple | Spotify | LTN  #543: What Lawyers Need to Know About the Ethics of Using AI, with Hilary Gerzhoy Apple | Spotify | LTN  #546: Unlock Law Firm Growth: AI marketing Secrets with Karin Conroy Apple | Spotify | LTN  Links from the episode:  https://www.lawmatics.com/    Have thoughts about today's episode? Join the conversation on LinkedIn, Facebook, Instagram, and X!    If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you.    Access more resources from Lawyerist at lawyerist.com.    Chapters / Timestamps:   00:00 – Introduction  01:28 – Meet Matt Spiegel  03:55 – From the Cloud to AI in Legal Tech  05:38 – Why Lawyers Are Cautious About AI  06:50 – Moving Beyond Surface-Level AI  08:51 – Why Lead Scoring Misses the Point  11:14 – What Makes Agentic AI Different  14:10 – Generative AI vs. Agentic AI  15:57 – Teaching Software to Make Decisions  17:17 – Automating Outcomes, Not Steps  20:10 – Why Lawmatics Was Already Agentic  21:47 – Trust, Guardrails, and Client Data  24:20 – What Qualify AI Does Differently  25:33 – Closing Thoughts 

Send me a textThis episode started because my YouTube feed randomly turned into a whole finance channel, and it made me realize I'm 40… so compounding interest doesn't have the same runway it did at 20. Then I heard one line about Jesus and leftovers that hit me right in the chest and made me look at all the “leftovers” I waste—not out of carelessness, but out of forgetting and not planning. That mindset shift led me straight to my orange tree situation and a full-on no-waste orange adventure that turned into real stewardship in real life. So today I'm sharing a simple Sunday Money Reset—five quick steps to help you pay attention, reduce the chaos, and stop waking up midweek wondering where your money went.Mentioned in this episode: