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AI can accelerate a strong operating model, but when decision rights, incentives, or data are already unclear, it can make the mess spread faster.In this episode, I sit down with Denise Tilles, a leading voice in product operations, to unpack how her career moved from editorial work at Condé Nast into product management, commercial leadership, and eventually product operations. Denise shares how learning to work with revenue data, product analysts, and operating models changed the way she thought about product leadership and led to her work helping enterprise organizations make faster, better-quality decisions.We explore what product operations actually does, why an operating model needs to define how decisions get made, and where incentives can quietly undermine even a well-designed process. We also dig into what happens when AI makes producing documents, specifications, and analysis nearly effortless: generating more output doesn't remove the work of judgment. In many cases, it makes clarity about inputs, outputs, ownership, and what “good” looks like even more important.Key TakeawaysProduct ops should improve decision-making: Denise defines it around business and data insights, customer and market insights, and the operating model.Commercial context changes product thinking: At Cision, learning P&L, ACV, and recognized revenue helped Denise connect product decisions directly to business outcomes.Good analysis reveals hidden opportunities: A product analyst uncovered an add-on opportunity that generated roughly $1 million within a year.Operating models need clear decision rights: Teams need to know what gets worked on, who decides, and how work actually gets done.AI amplifies the system already in place: If ownership, data, or processes are unclear, AI can make those weaknesses spread faster.Additional InsightsInformal decisions can override formal processes: Denise learned that hallway conversations and executive requests often mattered more than the documented workflow.Proof does not create authority: Better analysis can earn credibility, but changing a system still requires ownership, sponsorship, and permission.Incentives shape behavior: Product and sales can both act rationally while optimizing toward conflicting measures of success.AI can shift work downstream: Faster artifact creation still leaves someone responsible for checking the reasoning, evidence, and assumptions.Operations may become more connected: Denise sees product ops, design ops, sales ops, and other functions moving toward a more unified “Omni Ops” model.Episode Highlights00:00 - Episode RecapDenise explains why the starting point for operating-model and AI work should be the pain a company is actually experiencing, from PRD structure to data quality, rather than adopting AI simply because the technology is available.02:01 - Guest Introduction: Denise TillesI introduce Denise Tilles and her work in product operations and operating models, setting up our discussion about data, decision-making, incentives, and how product organizations can operate more effectively.03:13 - From Editor to Product ManagerDenise traces her move from media and content strategy at Condé Nast into product management, a role she initially had to define for herself because the discipline was still relatively young.04:50 - Learning the Economics of ProductMoving to Cision gave Denise access to commercial data she had never had before, pushing her to learn from the CFO and understand product through revenue, P&L, ACV, and business outcomes.08:41 - The Analyst Who Changed the TeamDenise explains how hiring a product analyst gave her team more objective insight into customer and product data, including an overlooked opportunity that generated roughly $1 million in its first year.12:55 - Finding Revenue Hidden in BehaviorI share how an analyst at Lastminute.com identified a collapse in same-day booking conversion after 7 p.m., giving the team a specific customer behavior to investigate and improve through experiments.15:14 - The Three Pillars of Product OpsDenise defines product operations through business and data insights, customer and market insights, and the operating model, all designed to help product managers make faster and better-quality decisions.17:01 - The Process You Don't SeeDenise describes discovering that documented processes were often competing with informal conversations and executive requests, revealing why operating models need to account for how decisions really get made.19:59 - Who Actually Gets to Decide?At its core, Denise says an operating model defines what a company works on, who has the right to decide, and how the work gets done within the organization's real constraints.24:41 - Operating Models Need OwnersDenise warns against treating an operating model as something you publish once and forget, because without clear ownership, maintenance, onboarding, and reinforcement, the system quickly falls out of use.25:48 - Incentives Beat Better ProcessA mismatch between how product and sales were measured taught Denise that people naturally optimize around their incentives, even when that produces conflicting outcomes for the wider business.29:09 - AI Makes Drive-By Requests Harder to RejectDenise explains how a senior leader's opinion can now arrive with an AI-generated specification, data, and outcomes attached, making an untested idea look more rigorous without necessarily improving the underlying thinking.33:22 - Define What Good Looks LikeAs AI increases the volume of work teams can produce, Denise argues that operating models need clearer standards for what should be created, what evidence belongs in it, and how colleagues are expected to consume it.35:33 - Your Output Is Someone Else's InputWe explore the value of looking at work end to end, because one team's output often becomes another team's input and localized optimization can create problems elsewhere in the system.38:56 - Use AI Where the Pain Justifies ItDenise is increasingly advising companies to use less AI than they initially expect, starting instead with the problem, the value AI might add, and the human judgment and context that still need to remain in the loop.41:10 - From Product Ops to Omni OpsDenise looks ahead to a more connected model where operational disciplines work across functional boundaries, allowing companies to design the engine of operations as one system rather than a collection of independent silos.42:09 - Closing ReflectionsI close by encouraging listeners to explore Denise and Melissa's Product Ops and to think of their own organizations as systems that can be deliberately redesigned and experimented on.FAQsWhat is product operations?Denise describes product operations as helping product managers make faster and better-quality decisions. Her model has three pillars: business and data insights, customer and market insights, and the operating model or ways of working that support product teams.What is a product operating model?At its simplest, Denise says an operating model determines what a company decides to work on, who gets to decide, and how the work gets done. Every organization has one in practice, but many have accumulated theirs informally rather than designing and communicating it intentionally.How does AI affect product operations?AI can accelerate activities across product operations, but Denise argues that judgment and context remain essential. When organizations apply AI to an unclear operating model, poor data, or unresolved decision rights, the technology can amplify those existing weaknesses rather than solve them.Why do incentives matter when designing an operating model?People tend to optimize around what they are measured on. Denise experienced this when product was focused on recognized revenue while sales celebrated closed contracts, creating different definitions of success even though both teams were acting rationally according to their incentives.How should a company decide where to use AI in its operating model?Denise starts with the pain points rather than the technology. She looks at issues such as PRD structure, data analysis, source quality, ownership, and decision-making first, then asks whether AI genuinely improves that part of the system and where human judgment still needs to remain.Useful ResourcesProduct Operations — the book Denise co-authored with Melissa on building the systems and capabilities that help product managers make faster and better decisions.

→ Prayer CalendarHave you ever been asked "What did you do all day?" and struggled to put it into words? Mama, you did everything. In this episode, we come alongside you with the warmth and wisdom of mothers who have been right where you are, reminding you that making a home is one of the most meaningful things you will ever do.Rooted in Titus 2 and Psalm 90, we walk through the everyday rhythms of a home built with love, from planning and decluttering to cooking, decorating, and supervising little ones, offering practical hacks and grace-filled encouragement every step of the way.Episode Highlights00:00 What it means to be "busy at home" from Titus 2:4-504:30 Planning your home, writing your family pillars, and starting with the heart (1-2)11:30 Organizing, cleaning, and the Princess Bride method (3-5)18:00 Decorating your home and mealtimes (6-7)33:00 Communication, loose schedules, and supervising children (8-10)Please send us your questions if you'd like to have them discussed on the podcast: themindofachildpodcast@gmail.com The Mind of a Child is an early child development podcast that exists to encourage and equip parents to raise their kids to love God and love others. If you're looking for Biblical principles, practical parenting solutions, and science-backed research, our discussions are specifically tailored for you. Our hosts are Leslie Dudley Corbell and Diane Doucet Matthews, who each have a combined 50+ years of experience in the early child parenting space.

In part one of a special two-part series, Mark and Emily sit down with author and pastor Trevin Wax to introduce The Gospel Way Catechism, a new 50-question resource he co-wrote with Thomas Wax to root Christians in truth amid cultural chaos. Trevin unpacks what a catechism actually is, why this centuries-old discipleship tool is making a comeback, and takes listeners behind the scenes of writing the book in C.S. Lewis's own study. Along the way, they dig deep into one question in particular, "What is freedom?", and why getting the answer wrong is quietly shaping a generation.Episode Highlights00:27 — Introducing guest Trevin Wax and The Gospel Way Catechism01:33 — What exactly is a catechism, and why the word intimidates people01:58 — A brief history of catechisms, from the early church to the Reformation04:01 — Why catechism matters for growing Christians today, not just kids05:34 — What makes The Gospel Way different from classics like Westminster06:23 — Tim Keller's call for a renewal of "counter catechesis"08:41 — Behind the scenes: writing the catechism at C.S. Lewis's home, the Kilns12:37 — Naming the cultural narratives Christians are swimming in today14:14 — A closer look at one question: "What is freedom?"15:44 — Applying the freedom question to college freshmen headed to Iowa State18:08 — Trevin's hope and prayer for how the catechism will be used20:44 — What's ahead: Part 2 with Trevin, and the fall sermon series at CornerstoneResourcesThe Gospel Way Catechism by Trevin Wax and Thomas WaxThe Gospel Way Catechism for Kids by Trevin Wax and Thomas WaxCornerstone Sermons: Listen OnlineAsk Mark a Question!Suggest a topic or question for Mark to discuss on a future episode of the Equip Podcast!

In part two of this special series, Mark and Emily bring Trevin Wax back for an unscripted Q&A, pulling questions straight from his own writing and years of curiosity built up over their friendship. They talk through the difference between spiritual discipline and self-help optimization, wrestle with pride and holy ambition, and more. Trevin closes things out with his top five most influential books and a candid answer to one final question: is he hopeful or fearful for the future of the church?Episode Highlights00:27 — Welcoming Trevin back for a rapid-fire "Ask Trevin Anything" episode01:39 — Spiritual disciplines vs. self-help: what's the real difference?05:19 — Behind Trevin's new daily prayer project, "The Lord Is My Light"09:36 — The sin we've stopped taking seriously: pride09:55 — Balancing holy ambition with the pull toward selfish ambition13:38 — "Worship yourself and you'll become less than yourself"15:43 — What is the Lausanne Movement, and why does it matter?17:42 — What the American church needs to learn from the global church20:08 — Rapid fire: Trevin's top five most influential books24:58 — Is Trevin hopeful or fearful for the future of the church?ResourcesThe Gospel Way Catechism by Trevin Wax and Thomas WaxThe Gospel Way Catechism for Kids by Trevin Wax and Thomas WaxCornerstone Sermons: Listen OnlineAsk Mark a Question!Suggest a topic or question for Mark to discuss on a future episode of the Equip Podcast!

Mark sits down with Chelle Lambert and Hannah Beth Gilbert, two Salt Company staff members who've actually lived with the Spiritual Workout Plan, not just recommended it. They get honest about what's worked, what's been hard, and how the plan flexes across different seasons of life, whether you're a college student or a "30-something rando floating in the abyss of adulthood." If you've started a dozen Bible reading plans and never finished one, this conversation is the reset you need before the new Fall plan launches.Episode Highlights00:38 — Meet the guests: Chelle Lambert and Hannah Beth Gilbert01:56 — Not just for college students: who the plan is really for02:12 — Where the Spiritual Workout Plan came from and the problem it was built to solve04:14 — The unexpected benefit: camaraderie in reading the same thing together06:24 — Bible memorization and building a culture around it10:01 — Getting practical: how to handle a high-volume reading plan without drowning12:32 — "You haven't read the whole Bible": Mark's loving, firm challenge to skip the excuses15:01 — Steady over spectacular: resetting expectations for what walking with God looks like16:12 — Different seasons need different rhythms, even for the leaders running the plan17:56 — Progress, not perfection: remembering the plan is a tool, not the goal itself20:44 — Do the scripture memory wristbands actually help?22:03 — What's new in the Fall plan: minor prophets and flexible reading tracks22:45 — Encouragement for anyone who's tried and quit before25:45 — Building real relational health into your group, not just surface-level check-ins28:01 — Where to get the plan and a final challenge to get startedResourcesFall Spiritual Workout PlanFull PlanDaily ReadingsGet Text UpdatesCornerstone Sermons: Listen OnlineAsk Mark a Question!Suggest a topic or question for Mark to discuss on a future episode of the Equip Podcast!

Mark and Emily pull back the curtain on how Cornerstone decides what to preach and introduce the church's new series through The Gospel Way. Mark walks through the history and philosophy behind preaching styles, why Cornerstone leans expository, and how topical teaching, liturgical seasons, and book-by-book exposition all fit together into one intentional plan.Episode Highlights00:52 — What the Gospel Way Catechism is and why it was written01:44 — How the 50 truths are structured across sections and years03:09 — Two upcoming episodes featuring author Trevin Wax04:36 — Why using a catechism to preach isn't as unusual as it sounds05:33 — The pulpit vs. the altar: why preaching is central to Protestant worship07:20 — A brief history of preaching styles, from the Puritans to Piper, Keller, and MacArthur09:08 — Defining expository preaching and its different forms11:18 — The strengths and blind spots of verse-by-verse exposition14:39 — In defense of good topical preaching16:24 — Why a well-done topical series can take 40–50 hours to prepare19:52 — How Mark builds the preaching calendar: book-by-book plus liturgical seasons22:39 — Why The Gospel Way Catechism is a hybrid approach — and why that matters24:07 — Mark's heart behind it all: guarding the gospel and preaching the full counsel of GodResourcesThe Gospel Way: A Catechism by Trevin Wax and Thomas WestThe Gospel Way Catechism for Kids by Trevin Wax and Thomas WestCornerstone Sermons: Listen OnlineAsk Mark a Question!Suggest a topic or question for Mark to discuss on a future episode of the Equip Podcast!

AI is forcing us to rethink a question most organizations have avoided for years: what is uniquely valuable about human work when intelligence itself is no longer scarce?Tatyana Mamut, CEO of Wayfound and former CPO of Nextdoor, joins me to explore AI adoption through a lens that goes beyond software. Drawing on her background in anthropology, economics, organizational design, and product leadership, Tatyana explains why the real challenge is designing the rules, tools, norms, incentives, and relationships that shape how humans and AI agents work together.We get practical about what this means at both an individual and organizational level. We explore the human capabilities that become more valuable as AI takes on more routine mental work, why fear leads companies into bad AI decisions, how poorly designed incentives can push agents toward unexpected behavior, and why the subject-matter experts closest to the work need to become responsible for managing the agents operating alongside them.Key TakeawaysHuman comparative advantage is changing: As AI takes on more mental work, people need to rethink where their uniquely human value comes from.Develop taste, judgment, relationships, and performance: Tatyana sees these as practical areas where people can complement AI rather than compete with it.AI adoption is an organizational design problem: Success depends on redesigning rules, tools, norms, incentives, and accountability around the technology.Goals and guardrails can still produce the wrong behavior: An agent may follow its objective while still acting against the organization's intent, as Tatyana's refund example shows.Subject-matter experts need to become agent managers: The people closest to the work must be able to monitor, correct, and improve the agents operating in their domain.Additional InsightsOrganizational culture can be consciously designed: Tatyana frames culture as the interaction of rules, tools, and unwritten norms that shape behavior.Relationships become more valuable as outreach gets automated: When AI increases the volume of generic communication, trust and genuine relationships become more important.AI can generate options, but humans still decide what matters: Judgment becomes critical when the challenge shifts from what can be done to what is worth doing.Small failure rates compound across multi-agent systems: Edge cases that seem minor with one agent can become more significant as agents are connected into workflows.Building an agent and managing one are different jobs: Engineering can help create the agent, but functional owners must take responsibility for its ongoing performance.Episode Highlights00:00 - Episode RecapTatyana frames the AI shift as a deeper question about what it means to create value as a human when intelligent systems increasingly share responsibility for thinking and decision-making.02:10 - Guest Introduction: Tatyana MamutI introduce Tatyana Mamut, CEO of Wayfound and former CPO of Nextdoor, whose experience across anthropology, organizational design, and product leadership shapes her approach to human and AI systems.05:06 - From Economics to AnthropologyTatyana explains how the failure of economic models to predict events such as Russia's 1998 economic collapse pushed her toward studying the mental models and social institutions that shape human behavior.08:07 - Designing Culture Through Rules, Tools, and NormsTatyana breaks organizational culture into practical components, showing how formal rules, available technologies, incentives, status, beliefs, and unwritten norms interact to shape behavior.13:16 - The Multi-Sapiens WorkplaceTatyana argues that AI is forcing people to reconsider their comparative advantage as humans as intelligent systems begin participating in higher-level thinking and decision-making.18:42 - Four Human Capabilities to DevelopTatyana identifies taste, judgment, relationships, and performance as four areas people can strengthen as AI absorbs more routine mental work.23:32 - Why Human Relationships Matter MoreBarry and Tatyana discuss how automation can remove administrative work while making authentic relationships, lived experience, trust, and storytelling increasingly valuable.27:21 - Fear Is the Enemy of ProgressTatyana explains how fear can push organizations either to rush into AI using outdated assumptions or retreat when the technology does not behave like traditional software.29:11 - AI Agents Need Different SupervisionTatyana describes why AI agents require governance and oversight based on organizational context, including goals, rules, norms, and definitions of what good performance looks like.31:32 - The Incentive ProblemThe conversation turns to how model behavior and organizational goals interact, including Tatyana's view that sycophantic behavior can create unexpected feedback loops in production agents.32:34 - When an Agent Breaks the Intent of the RuleUsing a customer service example, Tatyana shows how an agent trying to maximize case closure and customer satisfaction can suggest a refund even when its guardrails tell it not to.38:59 - Escaping Endless Pilot ModeBarry explores why uncertainty can keep organizations trapped in experimentation rather than allowing AI systems to move into real operating environments.40:10 - Who Owns the Agent After Deployment?Tatyana argues that the functional experts closest to the work need direct responsibility and visibility once an AI agent is operating in production.44:41 - Treat AI Agents Like New EmployeesTatyana compares engineering teams to recruiters who can help bring an agent into the organization, while the business owner remains responsible for coaching, compliance, and ongoing performance.46:14 - Closing ReflectionsBarry closes by reflecting on the emerging skills leaders and individuals will need as they learn to manage systems in which humans and AI agents increasingly work together.FAQsQ1. What human skills become more valuable as AI takes on more work?Tatyana highlights four areas: taste, judgment, relationships, and performance. Her argument is that AI may generate options, perform routine mental work, and help with administration, but humans still create value by deciding what is good, what is worth doing, whom to trust, and how to motivate or persuade other people.Q2. What does Tatyana Mamut mean by a “multi-sapiens workplace”?She uses the phrase to describe a workplace where humans are no longer the only entities carrying out higher-level thinking and decision-making. In that environment, organizations need new rules, tools, and norms for determining how humans and AI systems work together and where responsibility sits.Q3. Why does Tatyana say AI adoption is an organizational design challenge?Because deploying an AI system changes more than the technology stack. Organizations also have to consider incentives, governance, supervision, communication, accountability, cultural norms, and who has the authority to evaluate and correct an agent's behavior.Q4. Why do AI agents need supervision even when they have guardrails?Tatyana explains that an agent can technically pursue its assigned goal while still behaving in a way the organization did not intend. Her customer service example shows an agent suggesting a refund because doing so could resolve the case and improve customer satisfaction, despite instructions designed to prevent refunds.Q5. Who should manage AI agents after they are deployed?Tatyana argues that responsibility should move toward the subject-matter experts who understand the work the agent performs. Engineering or IT may build and deploy the system, but salespeople should oversee sales agents, finance teams should oversee finance agents, and other functional experts should have direct access to monitor, correct, and improve their agents.Useful ResourcesTanyana Mamut on LinkedIn - https://www.linkedin.com/in/tmamut/ Wayfound - https://www.wayfound.ai/ Artificial Organizations - https://geni.us/artificialorgs Nextdoor - https://blog.nextdoor.com/ Claude - https://claude.com/ Salesforce -

Send us Fan MailCan a treatment decision depend on whether one pathologist sees 45% biomarker positivity and another sees 55%?Visual immunohistochemistry scoring helped establish precision oncology. But as targeted therapies become more sensitive to subtle biological differences, categorical scores such as 0, 1+, 2+, and 3+ may no longer capture the information needed to identify the right patients.In this episode, I speak with three Roche experts:Gordana Juric-Sekhar, MD, anatomic pathologistSaleh Miri, PhD, Director of Digital Pathology AI AlgorithmsPurvi Gaglani, Regulatory Affairs Lead for Digital PathologyWe discuss how computational pathology is changing companion diagnostics by moving biomarker assessment from visual estimates to continuous, cell-level measurements.The conversation examines the limitations of manual IHC scoring, including interobserver variability, intraobserver variability, visual fatigue, borderline cases, tumor heterogeneity, and the inability of the human eye to measure complex spatial relationships.Using TROP2 scoring in advanced non-small cell lung cancer as an example, Saleh explains the normalized membrane ratio. This computational metric measures protein expression at the cell membrane relative to total expression within the cell—something that can't be reproduced through conventional visual scoring.We also clarify the difference between computer-assisted scoring and a fully computational companion diagnostic. An assisted tool supports a pathologist's visual interpretation. A computational CDx generates the biomarker measurement through algorithmic, cell-level analysis.That doesn't remove the pathologist.Pathologists remain responsible for evaluating tissue quality, staining quality, scan quality, tumor selection, image analysis results, and the final clinical context. They can reject a stain, request a rescan, exclude inappropriate regions, question the result, or seek a second opinion.The episode also examines the regulatory implications of computational companion diagnostics. Instead of evaluating a single IHC assay, regulators may need to assess the complete system - from tissue preparation and staining to scanning, image management, algorithmic analysis, display, and the final biomarker report.Finally, we discuss what laboratories will need to implement these workflows, including validated scanning infrastructure, cybersecurity, tighter preanalytical process control, and training that helps pathologists interpret continuous computational measurements.Episode Highlights00:00 — Pathologists remain central to computational CDxWhy computational tools provide more precise measurements without replacing pathology expertise.01:09 — Why companion diagnostics are changingVisual IHC scoring helped launch precision oncology, but the model is approaching its limits.04:53 — The current companion diagnostic landscapeHow IHC, next-generation sequencing, liquid biopsy, and visual biomarker scoring are used today.07:01 — The mathematical burden placed on the human eyeWhy manually assessing tens of thousands of tumor cells requires pathologists to estimate rather than calculate.08:39 — The borderline patient dilemmaA digital tool can distinguish measurements such as 74% and 76%, while that difference is difficult to reproduce visually.09:27 — Why spatial context mattersComputational pathology can measure biomarker heterogeneity, clustering, and relationships between tumor and immune cells.12:17 — Where manual scoring reaches its limitsInterobserver variability, intraobserver variability, fatigue, staining interpretation, and heterogeneous tumors.18:29 — Moving from judgment calls to quantified measurementsWhy the next stage of precision oncology requires information beyond human visual perception.19:14 — Computer-assisted scoring versus computational CDxThe important distinction between helping a pathologist calculate an existing score and generating a new algorithmic measurement.23:22 — Computational pathology and decentralized workflowsHow digital images can support remote review, access to expertise, and second opinions.27:48 — Why therapies require higher-resolution biomarkersModern targeted treatments may respond to biological differences that categorical scoring can't capture.32:09 — TROP2 in advanced non-small cell lung cancerThe episode's example of a biomarker requiring computational measurement.33:26 — Understanding the normalized membrane ratioHow the algorithm measures membrane expression relative to total protein expression at the individual-cell level.35:46 — Working with regulators on a new diagnostic modelPurvi discusses global health authority engagement and the FDA Breakthrough Device Designation.38:33 — The computational CDx as a system of systemsWhy staining, scanning, image management, algorithms, displays, and reporting must be evaluated together.40:11 — Changes to validated workflow componentsHow using a different scanner, monitor, or other component could fall outside the defined device configuration.43:30 — Why computational pathology is becoming necessaryContinuous measurements can reveal biomarker-treatment relationships that may remain hidden within categorical scores.49:12 — The pathologist's role in the workflowReviewing sample, staining, scan, image, algorithmic analysis, and the final biomarker result.53:39 — Digital second opinionsHow image management systems can simplify collaboration without physically transporting glass slides.56:43 — What laboratories need to prepareValidated infrastructure, cybersecurity, preanalytical control, training, and digital pathology literacy.58:49 — Learning to interpret computational resultsThe shift from visually estimated categories to continuous, quantitative biomarker measurements.Resources MentionedFull discussion on YouTube: https://youtu.be/oKW1xC6TTZgListen to the full discussion to understand how computational pathology could change companion diagnostics—and what pathologists, laboratories, and regulators must prepare for next.Support the showGet the "Digital Pathology 101" FREE E-book and join us!

→ Prayer CalendarSocial media says the '90s mom had it all figured out, but what was she actually doing right? In this episode, we take a warm, honest look at what defined our generation of mothering and what today's young moms can carry forward.From supervised freedom and unstructured play to chores, limited technology, and keeping the heart at home, we ground this conversation in Titus 2 and the timeless truth that faithful motherhood begins with a heart oriented toward God, not fear, comparison, or the pressure to perform.Episode Highlights00:00 What defined a 90s mom?09:00 Parenting without fear13:20 Social media and anxiety19:00 Putting down the phone and being present21:00 Bringing the heart homePlease send us your questions if you'd like to have them discussed on the podcast: themindofachildpodcast@gmail.com The Mind of a Child is an early child development podcast that exists to encourage and equip parents to raise their kids to love God and love others. If you're looking for Biblical principles, practical parenting solutions, and science-backed research, our discussions are specifically tailored for you. Our hosts are Leslie Dudley Corbell and Diane Doucet Matthews, who each have a combined 50+ years of experience in the early child parenting space.

In this episode of the Equip Podcast, Mark Vance sits down with Mel Pearson, who leads City Ministry at Cornerstone Church, to talk about the real state of foster care in Iowa right now, and why it should matter deeply to Christians. Mel shares her own family's unglamorized journey into foster care, the theology behind caring for the vulnerable, and how a new initiative called The Table Project is working to change the system one family, one church, and one child at a time.Episode Highlights00:31 — Introducing Mel Pearson01:18 — Why should Christians care about the vulnerable beyond their own families?03:10 — The overwhelming needs in Iowa: foster care and schools under strain05:05 — Mel and Bryan's honest, unglamorized story of getting into foster care07:25 — Deglamorizing foster care: the hard, unseen realities behind it08:56 — Clinging to a Savior who moved toward hard places10:53 — Philippians 3: knowing Christ through the fellowship of suffering11:36 — Practical ways to get involved at different seasons of life13:00 — Care communities: how support raises foster family retention from 50% to 98%14:16 — Kids in the river: moving from crisis response to prevention16:49 — The scope of the crisis: Iowa has 30% more foster care calls than available homes19:46 — What is The Table Project? Faith-based, pre-licensure foster care training24:06 — How to get involvedResourcesCornerstone Sermons: Listen OnlineThe Table Project — TableProject.orgLunch and Learn — August 16th at Cornerstone (RSVP Here)Wildwood CollectiveAsk Mark a Question!Suggest a topic or question for Mark to discuss on a future episode of the Equip Podcast!

Discover how middle managers can navigate AI transformation effectively, emphasising human-centred leadership and self-awareness. Join Sally Foley-Lewis, a seasoned leadership expert, as she shares insights on maintaining relevance, fostering trust, and enhancing emotional intelligence in tomorrow's workplace.Episode Highlights00:00 How AI Is Changing Leadership02:47 Navigating AI in the Workplace05:54 Why Middle Managers Matter More Than Ever08:45 Creating Behavioural Change with AI11:41 How Leaders Can Empower Teams Through AI15:08 The Human Skills AI Can't Replace17:51 Preparing for the Future of LeadershipConnect with SallySally Foley-Lewis offers a free community called the Middle Multipliers, designed exclusively for middle managers. She's also exploring how middle managers navigate their unique leadership identity and role in the AI era. Reach out to learn more about her work and insights on leading with purpose in a digital world.The Middle Multipliers: https://courses.sallyfoleylewis.com/communities/groups/the-middle-multipliers/home?invite=6a32319aa9c5c031cb15f63bResearch Project: Influence Without Authority, Role Ambiguity and Identity Conflict in Middle Managers: https://link.tekmatix.com/widget/quiz/Ng4YKh6WXeX5RZHIxzebGet in touch with us at info@peopleleaders.com.auPeople Leaders Website - https://peopleleaders.com.au/People Leaders on LinkedIn - https://www.linkedin.com/company/people-leaders-pty-ltd/Connect with Jan Terkelsen on LinkedIn - https://www.linkedin.com/in/janterkelsen/Connect with Michelle Terkelsen on LinkedIn - https://www.linkedin.com/in/michelle-terkelsen-creating-high-performing-teams-a992744/Follow us on Instagram - https://www.instagram.com/people.leaders

This episode is sponsored by…NCH:Set up an LLC to protect your investments! – https://nchinc.com/rtrBLUPRINT HOME LOANS:Get pre-approved with one of RTR's preferred lenders at - https://bluprinthomeloans.com/renttoretirement/ Can turnkey rehab properties help you build a rental portfolio faster—and with less capital?In this episode of the Rent To Retirement Podcast, host Matthew Seyoum and investment strategist Tommy break down how professionally renovated turnkey properties can offer investors a lower entry point, stronger projected cash flow relative to their down payment, and an opportunity to diversify across multiple rental properties.

This episode is sponsored by…NCH:Set up an LLC to protect your investments! – https://nchinc.com/rtrBLUPRINT HOME LOANS:Get pre-approved with one of RTR's preferred lenders at - https://bluprinthomeloans.com/renttoretirement/ Can turnkey rehab properties help you build a rental portfolio faster—and with less capital?In this episode of the Rent To Retirement Podcast, host Matthew Seyoum and investment strategist Tommy break down how professionally renovated turnkey properties can offer investors a lower entry point, stronger projected cash flow relative to their down payment, and an opportunity to diversify across multiple rental properties.

In this episode of the Equip Podcast, Mark and Emily introduce 21 Days of Prayer, a church-wide season of focused, kingdom-centered prayer leading into the fall semester. They talk through why prayer matters even though God already knows our needs, what makes "kingdom-centered intercession" different from ordinary requests, and practical boosters to help sustain a rich prayer life.Episode Highlights00:39 — Casting the vision of 21 Days of Prayer02:08 — Setting aside focused seasons of prayer, like fasting, to tune the heart03:13 — Why pray if God already knows our needs? Three reasons: for God, for us, and for movement05:06 — Introducing the 21 Days of Prayer tradition at Cornerstone06:32 — Guarding against self-centered prayer by praying for the nations07:13 — Types of prayer in the Psalms and the shift toward kingdom-centered intercession08:12 — Kingdom-centered intercession: praying boldly in the authority of Jesus09:34 — A simple pattern: kingdom authority plus a specific need11:18 — How specific should our prayers be?12:23 — Praying by name and by place to make prayer concrete15:36 — Four prayer boosters: fasting, walking, community, and timing20:05 — How to join 21 Days of Prayer and get daily text promptsResourcesCornerstone Sermons: Listen OnlineReceive 21 Days of Prayer Prompts: Text 'PRAY' to 515-232-5488Ask Mark a Question!Suggest a topic or question for Mark to discuss on a future episode of the Equip Podcast!

Becoming Iconic: The Founder Building a Media Brand for Ambitious WomenWhat happens when the platform you built your entire business on disappears overnight?For Jen Leigh, losing her social media account felt catastrophic. As a single mother, the sole income earner for four children and the founder of Becoming Iconic, she initially feared everything she had created was about to collapse.Instead, that moment became the catalyst for her biggest reinvention yet: launching Iconic Magazine, a media platform she describes as Vogue meets Forbes for ambitious women.In this episode of Dawn of a New Era, Dawn speaks with Jen about building brands that last, creating visibility that delivers genuine commercial results and becoming the woman capable of holding the success you desire.Jen shares how her definition of success has evolved from chasing financial milestones to focusing on the person she is becoming through entrepreneurship. As she explains, when you grow into the right identity, the money begins to follow.They also explore why founders should never build their entire audience on a platform they do not own, how email and podcasting became Jen's “business insurance” and why visibility without the right infrastructure can become little more than an addictive vanity metric.This is a powerful and honest conversation about peaceful confidence, personal branding, motherhood, resilience and what it truly means to become iconic.In This Episode, You'll DiscoverHow Jen went from wanting to earn $2,000 a month as a stay-at-home mother to helping generate more than $100 million in client salesWhy who you become while building your business may be more valuable than the financial outcomeThe three lessons Jen learned after losing her entire social media presenceWhy email lists, podcasts and owned communities act as business insuranceHow losing her audience led Jen to launch Iconic MagazineWhy visibility does not automatically create clients, sales or authorityThe infrastructure your business needs before a major media opportunity or viral momentWhat Jen looks for when deciding whether a woman or brand is truly iconicThe difference between attention-seeking, hiding and “peaceful confidence”Why becoming a solopreneur should only be a temporary stage of businessHow to create multiple intentional entry points into your brandThe pattern Jen sees in women who build lasting influenceWhy so many founders quit just before their work begins to pay offHow Jen combines motherhood and entrepreneurship without pursuing impossible balanceWhy she prefers to think in terms of exchanges rather than sacrificesHow presence and harmony have helped her hold a business and raise four childrenWhy saying yes and stepping into the arena have transformed Jen's yearKey TakeawaysBuild a brand that can survive a platform disappearingJen had placed the majority of her attention on Facebook and Instagram. When her account disappeared, she realised how vulnerable the business had become.Her email list, podcast and community allowed her to continue communicating, but she also discovered that audiences do not automatically follow a founder from one platform to another. People choose where and how they want to engage with you.A resilient brand therefore needs several carefully selected channels, not one platform holding the entire audience.Visibility only works when the business is readyMany founders believe more press, followers or podcast appearances will solve their growth problems. Jen argues that visibility without a funnel, infrastructure, positioning and clear customer journey may create attention but very little commercial impact.Before seeking more eyes on your brand, ask:Where will those people go?How will you welcome them?What is the next step?Can your business hold the opportunity if it arrives?Build the ecosystem before the viral moment, not after it.Iconic women embody peaceful confidenceFor Jen, being iconic is not about being the loudest woman in the room. It is also not about making yourself smaller or always taking the seat at the back.Peaceful confidence is the ability to enter a room without needing to dominate it or disappear within it.It is knowing you are equal to everyone there: no better than anyone else, but certainly no less deserving of space.Lasting influence begins with contributionThe women who create enduring influence are rarely motivated solely by what they can gain.They are driven by what they have learned, lived or mastered and feel compelled to share it with others.Instead of asking, “How much can I get?”, they ask, “How much can I give?”That deeper sense of purpose is what allows them to continue when growth takes longer than expected.Stop searching for perfect balanceJen challenges the idea that women must distribute their time equally across their children, business, relationships and personal needs.Different people and priorities require different amounts of attention on different days.Rather than chasing balance and constantly feeling as though she is failing, Jen asks whether her day felt harmonious. Did she care for herself, follow through on her commitments and remain present with the people who mattered?Harmony allows for changing ratios without unnecessary guilt.Episode Highlights00:00 – Introducing Jen Leigh and Becoming Iconic00:47 – How Jen's definition of success has changed01:28 – Her original goal of earning $2,000 a month02:45 – Why who you become is the greatest entrepreneurial reward04:29 – Losing her social media and fearing the business was over05:48 – The moment Jen decided to embody the Becoming Iconic brand06:42 – Why founders need more than one communication channel08:17 – The power of women, community and unexpected support08:42 – Appearing on more than 100 podcasts and launching Iconic Magazine11:25 – What makes a woman or brand genuinely iconic12:14 – Why visibility can become an empty vanity metric14:01 – The meaning of peaceful confidence16:45 – What turns a beautiful personal brand into commercial authority17:50 – Building the systems, team and infrastructure before success arrives20:40 – Preparing a business to capitalise on a viral moment21:46 – The defining trait of women who create lasting influence23:22 – Why founders often quit before payday and impact25:00 – Building a business while raising four children25:19 – Replacing sacrifice with conscious exchanges26:15 – How practising presence helps remove guilt26:58 – Why balance is a lie and harmony is a better goal30:16 – What becoming iconic means for Jen in 202631:01 – Saying yes, doing the work and jumping into the arena33:07 – Jen's most embarrassing business moments35:13 – Where to find Jen and read Iconic MagazineMemorable Moments“Who you become on this journey is the greatest reward of all.”“A personal brand is personal. When you are leading something as a brand, you have to rise to the occasion.”“If one channel drops, the others hold the space.”“Visibility without preparation can simply become a vanity metric.”“Peaceful confidence is knowing that you are not better than or less than anyone else.”“It is not about how much I can get. It is about how much I can give.”“So many people quit before payday and quit before impact.”“Balance is a lie, because searching for balance will always leave us feeling imbalanced.”About Jen LeighJen Leigh is the founder of Becoming Iconic, a hybrid mentorship and creative agency dedicated to helping women build meaningful brands, businesses and legacies.After more than 20 years in business and helping her clients generate over $100 million in sales, Jen launched Iconic Magazine following the unexpected loss of her social media platform.Today, the magazine provides ambitious women with a platform to be seen, heard and felt while helping them turn visibility into genuine authority, community and commercial growth.Connect With JenExplore Becoming Iconic and the creative agency at becomingiconic.coFollow Becoming Iconic and Iconic Magazine on Instagram - https://www.instagram.com/becomingiconic/ Digital editions of Iconic Magazine are available complimentary through the Becoming Iconic website, with physical copies also available for readers who love the experience of slowing down, turning the pages and being inspired by powerful women and their stories.Support the PodcastEnjoyed this conversation?Subscribe to Dawn of a New Era, share the episode with an ambitious founder and leave a rating or review wherever you listen to your podcasts.Your support helps more women discover the conversations, strategies and stories that can change the way they build their businesses and their lives.CHECK OUT THE PODCAST & APPLY TO...

Send us Fan MailIs your digital pathology rollout moving so slowly that it's creating a fragmented workflow instead of transforming the department?In this episode of the Digital Pathology Podcast, I speak with Dr. Syed Hoda, Director of Digital Pathology at NYU, about why gradual implementation may no longer be the best approach to digital pathology adoption.Dr. Hoda explains how NYU used an intensive nine-month planning period to prepare for a department-wide transition. The process involved pathology, IT, project managers, vendors, hospital leadership, and approximately 40–50 people participating in regular planning calls.This wasn't simply a scanner installation.The team mapped workflows, configured Epic Beaker, redesigned laboratory spaces, tested integrations, planned training, and addressed the practical concerns of nearly 100 pathologists.We also discuss why scanner specifications may matter less than integration, vendor support, training, and system performance. For Dr. Hoda, digital pathology had to work as smoothly as glass microscopy. Speed was non-negotiable.Change management played an equally important role. Through open discussions, town halls, and the ADKAR framework, the team addressed concerns ranging from ergonomics to the loss of collaborative microscope sessions.The result? Every pathologist adopted the digital workflow, no one left the department because of the transition, and approximately 60–65 pathologists now work remotely using equipment that matches their office setup.Finally, we examine the next step: artificial intelligence in pathology. Dr. Hoda explains why NYU focused on building a reliable digital foundation before introducing AI. He also raises important questions about validation, transparency, responsibility, regulatory clearance, and the need for greater pathologist involvement in AI development.Episode Highlights00:00 — Are we repeating the same mistakes with pathology AI?Dr. Hoda compares the current excitement around AI with the early promises made about digital pathology 15 years ago.01:04 — Meet Dr. Syed HodaHis clinical pathology background and path to becoming NYU's Director of Digital Pathology.03:16 — Why going slowly can hold departments backHow partial adoption creates fragmented workflows, inconsistent training, and prolonged implementation.06:25 — Leadership support for rapid adoptionWhy institutional commitment, resources, and an ambitious timeline made the project possible.10:13 — Nine months of detailed planningWorkflow mapping, laboratory changes, system configuration, vendor selection, testing, and validation.11:48 — The role of professional project managementWhy pathologists shouldn't be expected to coordinate every part of a complex digital transformation.14:29 — Why the scanner isn't the most important decisionImage quality matters, but integration, service, training, and workflow fit may matter more.17:42 — People matter more than machinesHow vendor relationships and departmental engagement supported adoption.19:19 — Setting clear expectations across the departmentNYU communicated that every pathologist would move to digital sign-out within a defined period.20:49 — Change management is a structured processHow the ADKAR framework guided communication, education, adoption, and reinforcement.25:07 — Addressing practical and personal concernsFrom mouse ergonomics to preserving collaborative case review between pathologists.27:19 — Why NYU didn't introduce AI firstDr. Hoda explains why pathologists needed to become comfortable with the digital platform before adding new AI tools.29:26 — Digital pathology and remote sign-outApproximately 60–65 pathologists now work remotely with equipment matching their office setup.30:28 — Why speed is non-negotiableEven a small delay or repeated pixelation can quickly undermine confidence in a digital workflow.33:25 — A cautious approach to pathology AIConcerns about premature adoption, self-validation, limited regulatory clearance, and lack of pathologist involvement.37:27 — Scientific validation, transparency, and responsibilityWhat happens when the AI result and the pathologist's interpretation don't agree?40:41 — Where AI could meaningfully augment pathologyQuantifying microenvironments, feature combinations, ratios, and findings that are difficult to assess visually.Resources MentionedADKAR change management frameworkDigital Pathology AssociationExecutive War CollegeFDA list of AI-powered medical devicesA radiology mock-trial paper examining responsibility when clinicians use AI: Examining perceptions of liability about AI in radiology (MedRxiv)Why AI cannot do good science without humans (Nature Editorial)A previous Digital Pathology Podcast discussion about AI-supported colorectal cancer feature analysis (How to use deep learning image analysis for colon cancer with Rish Pai)Listen to the full conversation for a practical look at digital pathology planning, change management, remote sign-out, scanner integration, and responsible AI adoption.Support the showGet the "Digital Pathology 101" FREE E-book and join us!

Machine learning teams are moving faster, but the hard part has not disappeared. The work is shifting from writing and debugging every line of code toward defining the right problem, setting requirements, reviewing outputs, and deciding what belongs in a durable platform.Niels Bantilan, Chief Machine Learning Engineer at Union AI, explains how machine learning work has changed, why coding agents are accelerating prototyping, and what engineers must consider when building infrastructure that supports many teams instead of optimizing one model. He also shares how customer needs become product decisions, why machine learning roles are becoming more specialized, and why measuring AI productivity remains difficult.Key Takeaways• Coding agents reduce time spent on implementation, debugging, and exploration, but engineers still need judgment around architecture, quality, and business value.• Platform teams must balance experimentation with stability by giving users freedom at the edges while protecting a reliable foundation.• Machine learning engineering now spans a wider range of skills, from low level performance work to customer empathy, education, documentation, and developer advocacy.• The best model for a task may depend on complexity. Smaller self hosted models can handle tightly scoped changes, while longer and more complex work may still require stronger hosted tools.Episode Highlights00:50 What Union AI means by an AI runtime for production02:10 How machine learning work has changed over the past five years10:40 The mindset shift from model building to platform engineering15:00 Turning customer problems into reusable product capabilities19:00 Why machine learning roles are becoming more specialized21:50 Using coding agents through specifications, tickets, and code review26:50 Token costs, productivity measurement, and choosing the right modelOne Line That Stuck“I'm still solving problems. It's just the level at which I'm doing it doesn't require me to necessarily get into the weeds of the implementation.”Follow The Tech Trek for more conversations on AI, data, engineering, product, and technical leadership.

From Stage to Clinic: The Science, Art & Ethics of Hypnosis with Tommy GiolandoWhat can stage hypnosis teach clinical hypnotherapists? Quite a lot, it turns out.In this fascinating conversation, I sit down with internationally renowned hypnotist Tommy Giolando to explore the remarkable bridge between performance hypnosis, neuroscience, clinical practice, and faith.Tommy shares his journey from sceptical teenager to internationally recognised stage hypnotist, before revealing why he made the transition into therapeutic work and how mentorship with the legendary Tom Silver transformed his understanding of hypnosis through neuroscience.Together we explore:Why stage hypnotists often develop exceptional therapeutic skills.How observation, calibration, and creativity can transform clinical outcomes.The science behind rapid inductions versus relaxation-based hypnosis.Brainwaves, attention, neuroplasticity, and why simply closing your eyes changes brain activity.The relationship between music, rhythm, sensory processing and trance.How experiences—not just suggestions—anchor lasting transformation.Eye movements, fractionation and why movement helps the brain process information.Tommy's innovative self-hypnosis book and how it combines storytelling, eye movements and personalised language.A thoughtful discussion about hypnosis, Christianity, ethics and the science behind meditative states.Whether you're a clinical hypnotherapist, stage hypnotist, student, coach, healthcare professional or simply fascinated by how the human mind works, this episode is packed with practical insights, scientific discussion and plenty of HypnoGeek moments.Episode Highlights00:00 – Welcome to HypnoGeeks & introducing Tommy Giolando05:00 – Tommy's unexpected journey into hypnosis after believing it was fake14:30 – Why stage hypnosis creates exceptional clinical practitioners22:00 – Progressive relaxation vs rapid inductions: Do we overcomplicate hypnosis?33:00 – Creativity, calibration and reading the person in front of you42:00 – Creating therapeutic experiences that become lasting anchors for change52:00 – Tom Silver's neuroscience research and using EEG to study hypnosis1:03:00 – Brainwaves explained: Beta, Alpha, Theta, Delta and why simply closing your eyes matters1:16:00 – Eye movements, fractionation and innovative approaches to self-hypnosis1:28:00 – Hypnosis, faith and Christianity: Can science and spirituality coexist?1:39:00 – Final reflections on ethics, curiosity and moving the profession forward✨ Why listen?This isn't simply a conversation about hypnosis.It's a discussion about curiosity, neuroscience, performance psychology, therapeutic excellence, creativity, ethics and the extraordinary capacity of the human mind to change.If you've ever wondered how to become a better therapist, communicator, performer, or facilitator of change, this episode is full of ideas you'll want to revisit.

Before leaders can redesign their organizations with AI, they have to reconsider how they personally think, work, and make decisions.In this special episode of Unlearn, Barry O'Reilly shares the opening chapter of the audiobook edition of Artificial Organizations, narrated in his own voice. After hearing from readers who wanted another way to experience the book, Barry spent four days in the studio bringing its ideas and stories to life. The process was rewarding, demanding, and personal. As someone who is dyslexic, reading every word aloud required a different kind of focus from delivering a keynote, teaching a workshop, or hosting a podcast conversation.Barry then takes listeners into the central argument of the book: organizations often begin AI adoption with licenses, pilots, and tools while leaving leadership behavior and decision-making systems unchanged. Drawing from his own experiments, leadership research, and work with senior teams across North America, Europe, and Asia, he explains why meaningful AI transformation starts with human traits, high-value tasks, and the judgment leaders must preserve before selecting technology.Key TakeawaysAI should strengthen judgment, not simply increase output: Machines can process and synthesize information at a scale no individual can match, but leaders still have to decide what matters. The opportunity is to use AI to prepare, capture, and pressure-test thinking so human attention stays focused on consequential decisions.Start with traits, then tasks, then tools: Barry's 3T model begins with how a leader naturally thinks, creates, communicates, and decides. Only after identifying the tasks where that judgment creates the most value should leaders choose tools to support the work.Decision velocity must be paired with decision advantage: Decision velocity is how quickly a leader moves from question to insight, decision, and action. Decision advantage is the quality and depth of context behind that choice; speed without insight creates chaos, while insight without timely action becomes irrelevant.Most leadership time is allocated away from leadership value: Barry describes an 80/20 mismatch in which meetings, updates, administration, and context reconstruction consume most of a leader's time, while the greatest value comes from framing problems, evaluating tradeoffs, and making high-stakes decisions.Organizational AI adoption begins with personal behavior change: Broad mandates, task forces, and tool rollouts are often the wrong starting point. Leaders build more credible adoption when they experiment in their own workflows, share what they learn, and make new behaviors visible to their teams.Additional InsightsPresence can be more valuable than productivity: Barry's first AI experiment used a meeting assistant to capture and synthesize conversations. The practical gain was not only faster preparation and follow-up; it allowed him to stop carrying every detail in his head and remain fully present during critical discussions.Experience becomes a liability when it is not augmented: The instincts and institutional knowledge that helped leaders succeed can become limiting when they are treated as sufficient. Experience keeps compounding only when leaders combine it with broader recall, faster synthesis, and continuous testing.Senior leaders need psychological safety to learn: Barry's executive study found that leaders preferred one-on-one coaching and small peer cohorts over large workshops or self-paced courses. Being a beginner is uncomfortable at senior levels, so smaller environments make experimentation and honest questions easier.New capacity should create thinking space, not more workload: In the Progeny case study, AI reduced the effort required to capture meetings, actions, owners, and deadlines. CEO Peter Nevsky framed the resulting capacity as time for strategic thought and better decisions rather than an invitation to place people on a faster operational treadmill.The unit of change is the judgment inside a role: AI may automate parts of a project manager's, analyst's, or executive's work while increasing the importance of interpretation, challenge, and decision quality. The role may remain, but the judgment required within it changes.Episode Highlights00:00 – Episode Introduction & Why I Created the AudiobookBarry introduces this special preview of the Artificial Organizations audiobook, shares why he chose to narrate it himself, and explains why leaders need a different approach to AI adoption through the 3T framework: Traits, Tasks, and Tools.04:33 – A Quick Favor Before We BeginBarry invites listeners to leave an Amazon review, recommend the audiobook to their network, and help more leaders discover its ideas.05:16 – Preface: Why the Way We Work Is BrokenBarry introduces the central challenge facing modern organizations: leaders are overwhelmed by information, while better decisions remain harder than ever.07:11 – Judgment Under PressureBarry explores why more data, more tools, and more technology haven't created better leadership, arguing that the real constraint is our ability to process information and make sound judgments.10:07 – The First AI Leadership ExperimentA simple experiment with an AI meeting assistant transformed Barry's leadership by improving clarity, presence, and decision-making, leading to a new perspective on AI's role.12:00 – AI as Judgment InfrastructureBarry reframes AI as more than a productivity tool, explaining how it strengthens judgment, improves decisions, and helps leaders focus on what matters most.16:07 – Part One: The Judgment ConstraintBarry introduces the first section of the book, explaining why AI creates little value unless it changes how leaders think, decide, and lead.18:08 – Chapter One: Your Legacy Is Now Your LiabilityBarry examines why experience alone is no longer enough and how decision velocity and continuous learning are becoming the defining advantages of modern leadership.22:20 – The AI ROI Blind SpotBarry challenges the common focus on efficiency and cost reduction, arguing that AI's greatest value lies in helping leaders make better and faster decisions.28:16 – From Linear Leadership to Exponential InnovationBarry explains why traditional leadership models struggle in the AI era and why organizations must adopt new ways of learning, experimenting, and making decisions.34:10 – What Makes an Artificial OrganizationBarry defines artificial organizations and shares how leaders can replace memory-based management with shared judgment systems that accelerate decision-making and collaboration.40:09 – The New Leadership DivideBarry explores the widening gap between leaders who actively experiment with AI and those who continue relying on legacy ways of working, and why that difference will compound over time.43:15 – Where to StartBarry explains why successful AI transformation begins with personal experimentation, encouraging leaders to model new behaviors before scaling change across their organizations.45:15 – Closing ReflectionsBarry concludes the first chapter, thanks listeners for joining this special audiobook preview, and invites them to continue the journey with Artificial Organizations.FAQsQ1. Is this Unlearn episode an audiobook preview?Yes. This special episode includes Barry O'Reilly's recorded introduction followed by the opening chapter of the audiobook edition of Artificial Organizations, narrated by Barry himself. He explains why the audio edition was created, what recording the book required, and how its ideas connect to his work with executive leaders and teams.Q2. What is an artificial organization?An artificial organization is a company that deliberately combines human and machine intelligence to redesign how context is captured, information is synthesized, and decisions are made. Instead of adding AI to the edges of existing workflows, it builds judgment infrastructure into how the organization operates.Q3. How can leaders use AI to make better decisions?Leaders can use AI to capture conversations, summarize context, test assumptions, explore scenarios, prepare for meetings, and identify unresolved actions. This reduces the information leaders must carry mentally and gives them more capacity to focus on tradeoffs, consequences, and high-value judgment.Q4. What is the difference between decision velocity and decision advantage?Decision velocity is the speed at which a leader moves from a question to insight, decision, and action. Decision advantage is the quality, accuracy, and depth of context behind that decision. Strong leadership requires both because speed without insight creates chaos, while insight without action loses relevance.Q5. Why do many enterprise AI initiatives fail to create business value?They often begin with tool purchases, pilots, and mandates without redesigning how work, context, and judgment flow through the...

Send us Fan MailIf AI is already being used across the drug development pipeline, why hasn't its impact matched the investment?AI can help researchers review scientific literature, predict protein structures, prioritize molecules, assess toxicity, support clinical trials, and monitor adverse events. But access to better tools doesn't automatically create better drugs.In this episode, I speak with Thibault Geoui, Science CDO and host of the Tech & Drugs Podcast, about where AI is making a practical difference in drug discovery and development—and where the results remain limited. We map AI across the full drug development funnel, from basic research and target identification to preclinical testing, clinical trials, regulatory documentation, commercialization, and pharmacovigilance.We also discuss why digital-native tech-bio companies may be better positioned to benefit from AI than traditional pharmaceutical organizations. The difference isn't simply the model. It's how data, people, laboratory experiments, and AI tools are connected inside the workflow.For digital pathology professionals, the conversation becomes especially relevant when we examine AI-powered biomarker development, the role of pathology in pharmaceutical research, and the Roche–PathAI case discussed in the episode.And, of course, we talk about the problem every AI user eventually faces: an answer can look polished, specific, and completely convincing—and still be wrong.Episode Highlights00:00 — When convincing AI output creates more work Why AI can accelerate information generation while increasing the time required for review and verification.02:15 — From structural biology to science and technology leadership Thibault shares his background in X-ray crystallography, structural biology, scientific data, and digital product development.15:36 — Understanding the drug discovery and development funnel How thousands of potential compounds are narrowed down through discovery, preclinical research, clinical trials, and approval.20:00 — AI for scientific literature review How alerts, filtering, summarization, and information extraction can help researchers manage a rapidly growing scientific literature base.22:32 — AlphaFold and protein structure prediction What faster access to predicted protein structures changes for researchers—and why structural prediction alone doesn't solve drug discovery.24:13 — Searching an enormous chemical space How AI can help design and prioritize potential molecules for synthesis and experimental testing.25:50 — Predicting efficacy and toxicity Where AI supports preclinical research, why the models remain imperfect, and why experimental validation still matters.29:38 — Has AI changed drug development outcomes yet? A practical discussion about drug approval rates, AI investment, uneven returns, and the difference between deploying a tool and integrating it into a process.34:33 — Why traditional pharma struggles to scale AI Siloed data, legacy systems, organizational complexity, and the need to build reusable data workflows.37:57 — The “lab in the loop” model How tech-bio companies connect AI predictions with wet-lab experiments and feed the new data back into their models.44:37 — Can tech-bio companies shorten development timelines? How digital-native organizations are changing parts of the discovery and preclinical process.58:00 — AI, pharma, and digital pathology What the Roche–PathAI case discussed in the episode may indicate about the role of pathology data, biomarker discovery, and pharmaceutical workflows.01:06:17 — AI errors in regulated environments Why responsibility remains with the person or company submitting AI-assisted work, regardless of which tool produced it.01:17:37 — The growing cost of AI tools Subscriptions, token limits, model selection, AI orchestrators, and the need to use expensive tools more intentionally.01:27:50 — What successful AI adoption requires Starting with focused pilots, training scientists and technologists together, and treating implementation as organizational change.01:30:26 — The AI quirks that still frustrate users Hallucinated information, ignored writing instructions, stylistic habits, and poor awareness of time and context.The episode's timestamped themes and examples are documented in the supplied summary. The broader discussion covers AI from literature mining and molecular design through clinical development and post-market monitoring. Resources Mentioned Thibault Geoui's LinkedIn profile Tech & Drugs PodcastMIT NANDA study on generative AI implementation and return on investment Insilico Medicine as an example of a digital-native tech-bio company AI is already changing how scientific work gets done. The bigger question is whether organizations can redesign their workflows, train their teams, and maintain the human oversight needed to use it well.Listen to the full episode for a practical look at AI in drug discovery, drug development, and digital pathology.Support the showGet the "Digital Pathology 101" FREE E-book and join us!

→ Prayer CalendarWhat happens when parenting gets complicated by blended families, boundary-crossing relatives, or an unbelieving spouse? In this episode, we answer real listener questions about some of the most tender and complex relationships in a mother's life.With grace, honesty, and scripture as our guide, we walk through what it looks like to present a united parenting front, navigate family members who push against your values, and faithfully raise children when your spouse does not share your faith.Episode Highlights00:00 Parenting on a united front03:40 Navigating blended families08:00 Setting boundaries when family members cross the line12:22 Parenting with an unbelieving spousePlease send us your questions if you'd like to have them discussed on the podcast: themindofachildpodcast@gmail.com The Mind of a Child is an early child development podcast that exists to encourage and equip parents to raise their kids to love God and love others. If you're looking for Biblical principles, practical parenting solutions, and science-backed research, our discussions are specifically tailored for you. Our hosts are Leslie Dudley Corbell and Diane Doucet Matthews, who each have a combined 50+ years of experience in the early child parenting space.

Borderless property investing has become one of the fastest-growing strategies in real estate—but is it helping investors build wealth, or simply making it easier to sell property at scale?In this episode, we are joined by buyer's advocate and negotiation expert Scott Aggett to unpack the rise of borderless buyer's agents and the risks investors need to understand before buying interstate. With proposed changes to negative gearing and capital gains tax reshaping the investment landscape, we examine whether high-volume, data-driven buying models are still fit for purpose, and why relying on market trends alone could leave investors exposed when it's time to sell.Together, we explore the importance of due diligence, local market expertise, and having a clear exit strategy before purchasing an investment property. The conversation also tackles the growing role of AI in property research, the limitations of data-driven investing, buying sight unseen, and why choosing the right adviser may be just as important as choosing the right property.Whether you're considering your first investment property or expanding your portfolio across Australia, this episode will challenge some of the industry's biggest assumptions and help you build a smarter, more resilient property investment strategy.Episode Highlights00:25 – Meet Scott Aggett: A Different Take on Property Advice05:55 – Melbourne Units: Bargain Buy or Bad Investment?08:21 – The Dangerous Side of Data-Driven Investing14:57 – Property Horror Stories That Cost Investors Big17:39 – Why the Budget Changed the Property Narrative21:55 – Who's Regulating Buyer's Agents?27:23 – Raising the Standard for Buyer's Agents30:20 – AI Won't Replace Property Expertise—Here's Why37:41 – The Investor's Dilemma After the Budget41:31 – Four Strategies for Today's Property Investors44:49 – Where Smart Investors Should Be Looking Next49:49 – Why Portfolio Hype Can Hurt Your WealthAbout the GuestScott Aggett is a buyer's advocate, negotiation specialist, and property professional with extensive experience representing buyers across Australia's property market. Having worked on both the selling and buying sides of real estate, Scott brings a unique perspective on how properties are marketed, negotiated, and ultimately purchased.Through his work with Green Shoots, Scott has built a reputation for strategic advice, rigorous due diligence, and skilled negotiation, helping clients make informed property decisions rather than simply facilitating transactions. His approach combines practical market knowledge with a strong focus on protecting buyers from costly mistakes in an increasingly complex property landscape.In this episode, Scott shares his insights on the rise of borderless buyer's agents, the evolving role of AI in property investing, and why long-term thinking, local expertise, and professional due diligence remain essential for successful property investment.Connect with ScottLinkedIn | Scott AggettWebsite| Scott AggettWebsite | Green Shoots PropertyLinkedIn | Green ShootResourcesVisit our website: https://www.theelephantintheroom.com.auIf you have any questions or would like to be featured on our show, contact us at:The Elephant in the Room Property Podcast - questions@theelephantintheroom.com.auLooking for a Sydney Buyers Agent? https://www.gooddeeds.com.auWork with Veronica: https://www.veronicamorgan.com.auLooking for a Mortgage Broker? alcove.com.auWork with Chris: chrisbates@alcove.com.auEnjoyed the podcast? Don't miss out on what's yet to come! Hit that subscription button, spread the word, and join us for more insightful discussions in real estate. Your journey starts now!Subscribe on YouTube: https://www.youtube.com/@theelephantintheroom-podcastSubscribe on Apple Podcasts: https://podcasts.apple.com/ph/podcast/the-elephant-in-the-room-property-podcast/id1384822719Subscribe on Spotify: https://open.spotify.com/show/3r0nnJrLUu3t1GpO7X3j6EIf you enjoyed today's podcast, don't forget to subscribe, rate, and share the show! There's more to come, so we hope to have you along with us on this journey!See you on the inside,Veronica & Chris

In this episode of the Equip Podcast, part of the Sins We Tolerate series, Mark and Emily turn to sloth, the "sister sin" to gluttony. They define sloth not simply as laziness, but as neglecting the work God has assigned, then offer practical, gospel-rooted ways to move from sloth toward diligent, faithful work.Episode Highlights00:59 — Sloth introduced as a sister sin to gluttony01:15 — Defining sloth: more than laziness, it's neglecting duties God has assigned02:00 — Ephesians 2 and the tension between grace and good works03:10 — Giving your best to the useless and your worst to the useful03:22 — Proverbs 26 and the sluggard's excuses04:40 — Busy but lazy: the example of Mary and Martha07:24 — Work isn't a curse — toil is; Jesus as the perfect model of a worker09:37 — "Saved by works" vs. "saved to work"14:57 — Feeding the spirit: the five C's of calling16:22 — AI, dystopian fiction, and WALL-E as a picture of sloth19:58 — An accountability tool: tracking every fifteen minutesResourcesCornerstone Sermons: Listen OnlineAsk Mark a Question!Suggest a topic or question for Mark to discuss on a future episode of the Equip Podcast!

Send us Fan Mail“Trust yourself knowing that you're capable of more.”-Molly Rose SpeedExclusive Insights from This Week's EpisodesFounder freedom disappears when delegation is scattered. Molly Rose Speed reveals how unclear systems, weak onboarding, and the wrong VA fit create hidden growth drag.Episode Highlights00:08:00 Why founders lose freedom by keeping their hands in every cookie jar00:10:00 The interview questions that reveal whether a VA understands business00:12:00 Why scattered delegation sets even great assistants up to fail00:14:00 How AI changes the assistant role without replacing human judgment00:25:00 The hidden cost of saying it is faster if I do it myself00:28:00 Why a 30, 60, 90-day onboarding rhythm changes the relationship00:37:00 The SOP mistake that lets knowledge walk out the doorFull show notes, transcript, and resources for this episode:https://podcast.deepwealth.com/559The Deep Wealth PodcastMost entrepreneurs do not fail.They just carry too much for too long.The business grows. Pressure grows faster. Profits get harder to predict. Decisions cost more energy. Over time, focus slips and health takes the hit.The Deep Wealth Podcast and Deep Wealth Mastery are built from real experience. We're the only system based on a 9-figure exit. This system exists because guessing gets expensive.

Growing your business is exciting, but scaling it successfully takes more than increasing sales. Behind every valuable company is a strong financial foundation, efficient systems, and a strategy designed for long-term growth, attracting investors, and creating a business that's built to last.In this episode, Capt. Marco Torres sits down with veteran finance executive Jeff Glick, founder of Start U Up and Head of U.S. Operations at Outsourced CFO. With more than 30 years of experience spanning private equity, hedge funds, family offices, and high-growth companies, Jeff shares what separates businesses that simply grow from those that become truly valuable. Discover practical insights on financial leadership, business expansion, investor readiness, franchise value, and the systems that help companies scale with confidence.Because building a business is one thing. Building one that lasts is something else entirely. Stop chasing growth—and start building lasting business value.⏱ Episode Highlights00:35 Meet Finance Executive Jeff Glick01:37 The Missing Financial Foundation Behind Growth02:38 Jeff's Journey from CFO to Entrepreneur04:00 Building Businesses That Scale06:35 Understanding Franchise Value08:05 Why Owners Should Plan Their Exit Early10:05 Common Growth Mistakes Entrepreneurs Make12:30 Creating a Business with Lasting Value 15:58 Inside the Outsourced CFO Process18:55 When Should You Bring in a CFO?21:30 Using AI to Improve Financial Operations23:20 What Investors Want to See26:58 Preparing Your Business for Capital & Growth33:30 Where Every Entrepreneur Should Start35:55 Investing in Financial Leadership37:08 The Mindset Shift That Changes Everything39:40 Building Better Systems for Long-Term SuccessConnect to Jeff Glick  belowWebsite: https://www.ocfo.com/LinkedIn: https://www.linkedin.com/in/jeffreyglick/ 

In this episode of the Equip Podcast, Mark flips the script, handing the mic to Emily Jensen to walk through the third entry in their series on hidden, respectable sins: gluttony. Far from the exaggerated stereotype most of us picture, Emily unpacks why this sin is far more common, subtle, and spiritually dangerous than we think, and how the gospel gives us a better way forward.Episode Highlights00:28 — Introducing the series on hidden, respectable sins and the topic of gluttony01:49 — Why the modern stereotype of gluttony misses the mark02:07 — How the church fathers, reformers, and puritans defined gluttony: being ruled by your appetite02:45 — Introducing the FRESH acronym: five forms of gluttony from Gregory the Great via Dr. DeYoung03:55 — Fastidiously: the gluttony of delicacy and over-fussiness about food05:13 — Sumptuously: eating for maximum satisfaction and strategically hoarding the best portion06:26 — Ravenously, excessively, and hastily: the three ways gluttony shows up in how we eat09:06 — The biblical case against gluttony: 1 Corinthians 6:12, Philippians 3:19, and what it means to be mastered by an appetite10:15 — Food as a good gift from God — and why guilt isn't the goal11:20 — How gluttony fits into the bigger picture: a battle between flesh and spirit13:35 — The marriage supper of the Lamb, the shadowlands, and keeping food in its right place15:26 — How to starve the sin: study it, hate it, flee it, confess it16:32 — Hating gluttony: looking at where it leads historically and in your own health18:00 — Fleeing and confessing: practical strategies and why community matters21:15 — Feeding the spirit: food neutrality, thanksgiving, and the antidote to gluttony23:26 — Closing thoughts: gluttony as a gateway sin and a window into deeper appetite disordersResources:Cornerstone Sermons: Listen OnlineAsk Mark a Question!Suggest a topic or question for Mark to discuss on a future episode of the Equip Podcast!

AI is making it easier than ever to build products, automate work, and scale ideas. The challenge is no longer access to technology. It's designing the systems, stories, and customer understanding that turn AI into real business outcomes.In this episode of Unlearn, I'm joined by Eric Baxley, Chief Marketing Officer at Nobody Studios. Eric shares how a seventh-grade summer teaching himself to program on an Atari 800 sparked a 30-plus year career spanning software development, product management, marketing, sales, business development, and partnerships.We explore what Eric has had to unlearn while building companies in the AI era—from challenging assumptions before execution and replacing corporate polish with authentic storytelling, to designing scalable systems instead of disconnected tools. Along the way, Eric explains why great marketing still starts with deeply understanding customers, and why AI works best when it amplifies human judgment rather than replacing it.Key TakeawaysChallenge the foundation before execution: Eric shared that in a previous large business, the team was “doing things right,” but not “doing the right things.” The segmentation was off, and correcting who they were really going after helped the team hit its goals for the next three years.Authentic stories build trust: Eric has had to unlearn the corporate habit of making everything polished before sharing it. He believes people respond when you show the journey, talk about the hardships, and ask for feedback along the way.Systems matter more than scattered tools: Eric warned against building a set of siloed point products. In a venture studio building multiple companies at once, he said you need systems that can scale, especially with the speed of AI.Use AI to strengthen your thinking, not replace it: Eric described writing and revising a LinkedIn post himself before turning to AI. The post performed well, and his takeaway was that people could sense it was naturally written and not simply generated.Real messaging starts with real customers: When Eric joined Nobody Studios, one of the first things he did was speak directly with patent attorneys for Evalify. That helped him understand their language, their concerns, and what message would actually resonate.Additional InsightsStorytelling has to match the person and the moment: Eric explained that messaging should change based on persona, stage in the buyer journey, industry, and country. A CIO, CTO, or chief product officer may each need to hear the story differently.The right message needs different levels of depth: Eric talked about having a 30-second version, a 90-second version, and a longer version of the message ready. The point is to be prepared for the amount of attention and context the listener actually has.B2B messaging has to speak to head, heart, and wallet: Eric said that in larger enterprise deals, especially six- or seven-figure buying decisions, messaging needs to appeal to logic, emotion, and business economics.Consistency across channels is hard but necessary: Eric noted that messages can quickly become confusing when sales, TikTok, Instagram, LinkedIn, and other channels are all saying different things. The challenge is keeping the story consistent while still tailoring it to the audience.Automation still needs personalization: Eric uses some automated systems, but he emphasized that he still fine-tunes and personalizes messages based on someone's background. Otherwise, outreach becomes the kind of generic message people ignore.Episode Highlights00:00 - Episode RecapEric Baxley explains why company building in the AI era requires scalable systems, curiosity, grit, and a willingness to dig into the details rather than staying at a high level.01:53 - Guest Introduction: Eric BaxleyBarry introduces Eric Baxley, Chief Marketing Officer at Nobody Studios, and highlights his work across growth, marketing, partnerships, and company building.03:13 - The Seventh-Grade SparkEric shares how teaching himself to program on an Atari 800 while growing up in Germany sparked his interest in technology and shaped the rest of his career.05:10 - Unlearning AssumptionsEric explains why he no longer assumes the base foundation of a business is solid, using a segmentation mistake from a large business as an example.06:20 - Moving Past Corporate PolishEric talks about unlearning the need for everything to be buttoned up and why showing the real journey can make the work more relatable.07:39 - Authentic Stories in a Noisy MarketBarry and Eric discuss why honest stories about what is working, what is difficult, and what is still being learned can stand out from exaggerated AI claims.10:48 - Tailoring the StoryEric breaks down how messaging needs to be adapted by persona, buyer journey stage, industry, and country.13:24 - Learning From Patent AttorneysEric shares how he started shaping Evalify's messaging by speaking directly with patent attorneys instead of creating sales and marketing materials in a vacuum.18:08 - Head, Heart, and WalletEric explains why enterprise messaging needs more than a clinical problem-and-solution structure; it also needs emotion, business value, and a clear story.22:40 - Building Systems Backwards From the CustomerEric talks about the explosion of marketing technology and why he starts with the persona, the outcome, and the channels where customers actually spend time.27:37 - Writing Before AIEric describes how he wrote and revised a LinkedIn post himself before involving AI, and why he believes the human work helped it resonate.31:48 - Human-in-the-Loop AI for Patent AttorneysEric explains how Evalify helps patent attorneys with work that can take 20 to 30 hours, while making clear that the product amplifies their work rather than replacing them.33:49 - Building Companies Faster and More FrugallyEric shares why he is excited that small teams can now use AI capabilities to build, fund, and scale companies differently than in the past.35:36 - Closing ReflectionsBarry thanks Eric for sharing lessons from his work at Nobody Studios and looks forward to continuing to build together.FAQsQ1. Who is Eric Baxley?Eric Baxley is the Chief Marketing Officer at Nobody Studios. In the episode, he describes a career that began in software development and later moved into product management, marketing, sales, business development, and partnerships.Q2. What does Eric Baxley say leaders need to unlearn?Eric says he has had to unlearn assuming the foundation is already right, relying too much on corporate polish, and building around siloed tools instead of scalable systems.Q3. Why does Eric Baxley focus so much on customer segmentation?Eric believes many teams jump straight to execution without checking whether they are going after the right customers. He shared an example where fixing segmentation helped a business focus on the right audience and hit its goals.Q4. How does Eric Baxley approach messaging for AI products?Eric starts by talking to the people the product is meant to serve. With Evalify, he spoke with patent attorneys, used their language, tested the message, and worked with an advisory board to see whether the story resonated.Q5. What role should AI play in marketing, according to this episode?AI can help with speed, systems, and efficiency, but Eric and Barry emphasize that human judgment still matters. Eric's examples show that personalization, customer understanding, and careful writing are still needed for the message to land.Useful ResourcesEric Baxley on LinkedIn - https://www.linkedin.com/in/ericbaxley/ Nobody Studios on LinkedIn - https://www.linkedin.com/company/nobodycrowd/ Nobody StudiosEvalifyThe Challenger SaleArtificial Organizations - https://artificialorganizations.com/ Follow the HostBarry O'Reilly on LinkedIn: https://www.linkedin.com/in/barryoreillyBarry O'Reilly's website:

Send us Fan MailWhat does AI literacy actually look like for pathologists, researchers, and future clinicians? And how do you teach it in a way that is practical, not abstract?In this episode, I talk with Candice Chu, DVM, PhD about something I think a lot of people in digital pathology and computational pathology are feeling right now: AI is moving fast, but education is still catching up.Candice is a clinical pathologist, veterinarian, and educator building AI-focused teaching and research at Texas A&M. We worked together before on digital pathology and image analysis projects, so this conversation felt especially grounded. We talk about her AI literacy curriculum framework for veterinary education, why she decided to build it, and what it takes to teach AI in a way that is useful, ethical, and realistic.This episode is about understanding what AI tools are good for, where they can waste your time, and why hands-on experience matters. Candice explains why she sees AI as a set of tools, not a belief system. Try them. Learn them. Keep what improves your workflow. Drop what does not.We also talk about the difference between putting educational content online and building formal institutional teaching. That matters because social media can move quickly, but curriculum changes, research, and professional organizations shape longer-term adoption. Candice shares how her course started as a low-stakes elective, then grew into a more structured framework that combines education with publishable research.A big part of this conversation is the curriculum itself. We go through what students actually learn: AI fundamentals without heavy math, machine learning and image analysis, large language models, prompt engineering, chatbot building, ethics, literature research, and final projects where students evaluate real tools and workflows. I liked that the course does not stop at theory. It asks students to use tools, question them, and explain where they help and where they do not.We also get into something that matters far beyond veterinary medicine: professional responsibility. If AI is involved in a workflow, the clinician is still responsible. That includes fabricated citations, bad outputs, weak prompts, and the temptation to trust tools too quickly. Candice makes a strong case that AI education needs ethics, legal context, and interdisciplinary teaching built in from the start.If you are trying to think more clearly about AI in pathology, education, workflow design, or professional training, this episode gives you a concrete example of what responsible AI literacy can look like.Episode Highlights00:00 – Why AI tools are just tools, and why trying them matters even if you later decide not to keep using them00:33 – Who Candice Chu is and why her work on AI literacy in veterinary medicine is worth paying attention to02:33 – Why going back to Texas A&M changed the scale of Candice's AI research and teaching07:53 – How the AI course was designed as a low-stakes elective first, and why that helped student engagement11:16 – Where veterinary AI education stands now, and what professional organizations like ACVP are doing13:08 – Why AI adoption in veterinary medicine is still slow, and what skepticism usually sounds like in practice15:19 – Real examples of how Candice uses LLMs and computer vision in pathology, medical records, and research19:58 – What is actually inside the 15-week AI literacy curriculum, from fundamentals to final projects24:16 – Why ethics and legal responsibility are not optional in AI education31:35 – Why no-code tools and vibe coding are entering the curriculum already38:50 – The AI tools Candice is testing in her own workflow, including Claude, Codex, and PerplexityResources mentionedCandice Chu's AI literacy curriculum framework paper in Frontiers in Veterinary ScienceCandice's earlier work on ChatGPT in veterinary medicineTexas A&M and the institutional setting where Candice is building AI research and teachingMr. Don Riddick and the AVMA AI working group, mentioned in the ethics and legal contextClaude, Codex, and Perplexity as AI tools Candice is actively testingDigital Pathology 101, mentioned in the conversation as a teaching resourceCandice's online educational work on Instagram.Support the showGet the "Digital Pathology 101" FREE E-book and join us!

In this special Fourth of July episode of the Equip Podcast, Mark reflects on patriotism, love of country, and what it means for Christians to hold citizenship in heaven while living as faithful residents on earth. Turning to Jeremiah's letter to the exiles in Babylon, he unpacks what it looks like to genuinely love your country, work for its good, and offer honest critique, all without confusing any earthly nation, including America, with the Kingdom of God.Episode Highlights00:27 — Setting up a Fourth of July reflection on patriotism and dual citizenship01:09 — Personal memories of Fourth of July growing up in Sheldon and Slater, Iowa02:51 — Gratitude for America's freedoms, "for all her flaws"03:14 — Naming the tension between heavenly and earthly citizenship04:02 — Turning to Jeremiah 29 as a guiding text on exile and citizenship04:31 — Context: Jeremiah's letter to Israelites exiled in Babylon06:20 — The exiles' dilemma: how do you relate to the kingdom that conquered you?07:22 — Jeremiah's command: "pursue the well-being of the city"08:24 — Why pray for Babylon's good: "when it thrives, you will thrive"08:46 — God's promise to restore His people after seventy years10:12 — Applying the picture: citizens of heaven, temporary residents on earth11:04 — Practical instructions: build, plant, and work for the good11:29 — Clarifying what Christian nationalism actually means13:04 — A discerning eye toward the flaws of any human nation13:53 — Daniel's example: working for Babylon's good without compromising conviction14:56 — Applying it to America: gratitude, contribution, and good citizenship17:03 — Unafraid to both love America and critique her flaws17:26 — A simple Fourth of July exhortation: be a participant, not just a critic18:34 — Closing blessing: "God bless America, but even so, come, Lord Jesus"ResourcesCornerstone Sermons: Listen OnlineAsk Mark a Question!Suggest a topic or question for Mark to discuss on a future episode of the Equip Podcast!

In this episode, Mark and Emily kick off a brand new series called Since We Tolerate, a look at the "respectable sins" Christians often overlook or excuse. They start with one of the most culturally relevant: judgment. Drawing from Romans 14, Mark unpacks how Christians can fall into a pattern of casting judgment on brothers and sisters in areas where scripture doesn't demand a single answer, and what it looks like to pursue edifying love instead.Episode Highlights00:34 — Introducing the new series: Since We Tolerate and the idea of "respectable sins"01:13 — Why Christians often tackle the obvious sins but miss the subtle ones01:57 — The framework for the series: a four-part process for killing sin03:26 — Defining the process: remember the gospel, remember your identity, starve the sin, feed the spirit05:13 — Introducing the sin of judgment and its grounding in Romans 1406:12 — The Jewish-Gentile tension in the early church as the original context for Romans 1408:10 — What makes a matter "gray" — and why gray doesn't mean unimportant10:26 — Judgementalism as a "crowning vice of modernity," amplified by social media and cable news13:33 — When judgment is right: distinguishing disputed matters from clear biblical teaching17:00 — Diagnosing a judgmental heart: the BAM vs. WAM test (Best Available Motive vs. Worst Available Motive)21:28 — Practical steps to starve the sin: study it, hate it, flee it, confess it27:00 — Feeding the spirit: cultivating edifying love as the antidote to judgment30:34 — A preview of the next episode: gluttonyResourcesRespectable Sins by Jerry Bridges: PurchaseCornerstone Sermons: Listen OnlineAsk Mark a Question!Suggest a topic or question for Mark to discuss on a future episode of the Equip Podcast!

AI is changing how leaders think, decide, and work with their teams. But as John Cutler points out in this conversation, the real shift is not simply about faster answers or more productivity. It is about becoming more aware of the judgment systems we already use, often without noticing.In this episode of the Unlearn Podcast, I'm joined again by John Cutler, product thinker, systems explorer, and Head of Product at Dotwork. We explore how AI can help leaders expose their thinking, pressure test decisions, and build stronger team judgment, while also making it easier to accelerate poor habits, shallow work, and false confidence.John shares practical examples from product prioritization, survey design, objection handling, and team collaboration to show where AI can genuinely improve decision quality. We also get into the tradeoffs: why AI can make work feel like “hard mode,” why downtime still matters, and why intentionality is becoming one of the most important leadership skills in this moment.Key TakeawaysAI exposes how leaders make decisions: AI tends to amplify the decision system already there. When a leader's thinking is clear, AI can help make it visible and reusable; when it is vague, AI can make that vagueness move faster.Judgment is built differently depending on the situation: John explains that some judgment comes from repetition and tacit pattern recognition, while other judgment develops through coaching, discussion, and working alongside people with more experience.AI can help turn intuition into something teams can use: John's example of documenting his product prioritization heuristic shows how AI can help make internal judgment concrete. The value comes from helping others understand why certain decisions matter, not just what the decision is.Better AI use starts with knowing what you know: John contrasts product prioritization, where he has deep experience, with survey design, where he knows there is established expertise to draw from. The skill is recognizing whether AI should extend your own judgment or help you borrow from a domain expert.Teams using AI well can raise decision quality: Barry shares how AI can help teams pressure test assumptions, run scenarios, and ask disconfirming questions without losing momentum. The real advantage comes when AI strengthens collaboration rather than replacing it.AI can also accelerate bad instincts: John warns that AI can make poor thinking look polished. A team can paste AI onto an existing process and call it transformation without changing how decisions are actually made.Intentionality matters more than productivity: AI can reduce friction, but it can also remove the pauses where judgment forms. Leaders need to design space for reflection, not just optimize for more output.Additional InsightsIndividual metacognition: This is understanding how you think and make decisions. John's examples show that leaders get more value from AI when they can first make their own judgment system visible.Social metacognition: This is understanding that other people think, perceive, and engage differently. AI becomes more useful when it supports the conversation between people instead of flattening everyone into the same process.Computational metacognition: This is understanding what LLMs are good at, where they fail, and how to work with them responsibly. John argues that leaders need this skill so they know when to trust AI, when to challenge it, and when to bring in human expertise.Objection handling as a repeatable system: John's team did not ask AI to create a generic sales guide. They role-played real objections, captured the discussion, compared their responses against best practices, and turned that into a system that could review future calls.The deeper lesson: AI becomes more useful when it is connected to real work, real context, and a team's actual judgment. Without that grounding, it risks creating more output without improving the quality of decisions.Episode Highlights00:00 – Episode RecapJohn Cutler opens with a story about how judgment often comes from repetition and tacit signals, not neat frameworks. The episode explores what happens when AI starts making those hidden decision systems visible.02:02 – Guest Introduction: John CutlerBarry welcomes back John Cutler, product thinker, systems explorer, and Head of Product at Dotwork, for a conversation about judgment, decision making, and collaboration in the age of AI.04:59 – How Judgment Gets BuiltJohn explains that judgment develops differently depending on the context: through individual practice, repeated exposure, mentorship, team discussion, and comparison against examples of quality.08:58 – Making Prioritization Thinking VisibleJohn shares how he used AI to document his own scoring heuristic for product prioritization, giving a teammate deeper insight into why certain ideas mattered more than others.12:11 – Knowing When to Borrow ExpertiseUsing survey design as an example, John explains how AI can help access existing expert knowledge when you are not the expert yourself. The key is being honest about the limits of your own judgment.13:56 – From Answers to Better QuestionsBarry reflects on the shift from using AI to get answers toward using it to challenge thinking, improve decisions, and bring stronger questions to colleagues.18:04 – Why Better Surveys Lead to Better DecisionsJohn explains how improving a survey from average to strong can materially change the quality of insight a team gets back, which then affects the quality of product decisions.23:04 – Teams, AI, and Decision AdvantageBarry shares how AI can help teams maintain momentum during ideation by quickly pressure testing scenarios, asking disconfirming questions, and bringing outside information into the room.27:48 – Turning Objection Handling into a SystemJohn describes how his team recorded a live objection-handling exercise, analyzed it against best practices, and turned the team's collective knowledge into a reusable system.31:32 – The Three Forms of MetacognitionJohn introduces individual, social, and computational metacognition as three skills leaders need to work effectively with AI and with each other.35:19 – AI Exposes Leadership SystemsBarry and John discuss why AI can feel uncomfortable for leaders: it reveals whether there is a real decision-making system underneath the confidence.37:34 – When AI Makes Every Decision Feel HardJohn raises an important limitation: AI can remove small pauses in the workday, leaving people constantly operating at high cognitive load.41:58 – Productivity Fatigue and Agent OverloadBarry and John discuss the temptation to run too many AI-assisted tasks at once, and why that can create more noise rather than better outcomes.44:23 – Designing Time to ThinkBarry shares how he intentionally creates time for walking, exercise, and reflection to avoid over-optimizing for fast, reactive decisions.46:38 – Intentionality Over Process TheaterJohn explains why intentionality is different from rigid process. The opportunity is to design better systems without flattening the richness of how teams actually work.50:11 – Closing ReflectionsBarry wraps the conversation by reflecting on the opportunity for leaders to use AI not just to move faster, but to become more aware of how they think, decide, and scale judgment across teams.Useful ResourcesDotwork – John Cutler's work focuses on helping teams and organizations better understand how work, decisions, and systems connect.Artificial Organizations – Barry references the book and the CSTA loop as part of his work on AI, decision making, and organizational performance.Daniel Kahneman's System 1 and System 2 Thinking – Referenced in the discussion on snap decisions, deeper thinking, and productivity fatigue.Pugh Analysis – John mentions this as an example of a prioritization approach originally intended to help experts independently rate options and then discuss differences in judgment.Follow the HostLinkedIn: https://www.linkedin.com/in/barryoreillyPersonal site:

Send us Fan MailAre pathology foundation models actually ready for labs, or are they still stronger on paper than in practice?In this episode of DigiPath Digest #49, I unpack a timely review on pathology foundation models and ask the question that matters most to me: not just what these models can do, but what has to be true before they are genuinely useful in real pathology workflows.I walk through how pathology AI moved from narrow, task-specific models into the era of transformer-based foundation models. That shift matters because pathology is no longer only about looking at H&E in isolation. Today, pathologists are expected to integrate morphology, immunohistochemistry, molecular assays, genomics, and clinical context. That growing complexity is one reason foundation models are getting so much attention.In this discussion, I explain how transformers entered pathology, why image patches are treated like tokens, and how shared embeddings can support classification, regression, segmentation, and multimodal retrieval. I also go through the major pathology foundation models mentioned in the paper, including Virchow/Virchow2, Mayo Clinic Atlas, UNI, CONCH, H-Optimus, GigaPath, and TITAN, and why scale alone is not the full story.A big part of this episode is about the gap between benchmark performance and clinical readiness. I talk about the persistent limitations in training data diversity, the overuse of TCGA, and why public benchmarks can still miss what real pathology practice looks like. I also cover where foundation models still struggle, especially in cytopathology, hematopathology, and underrepresented disease areas, along with the real-world problems of artifacts, domain shift, concept drift, infrastructure burden, regulatory complexity, and workflow disruption.For me, one of the most important themes is this: AI in pathology should augment, not replace, pathologists. The future is not about handing diagnosis to a model. It is about building tools that support pathologists better, fit real workflows, and can be validated in ways that deserve trust.I also spend time on what comes next: explainable AI, counterfactual explanations, conversational interfaces, retrieval-augmented systems, multimodal fusion, and the need for deployment-centric validation rather than paper-only excitement.If you are trying to understand where pathology foundation models really stand today, this episode will help you separate the promise from the practical barriers.Episode Highlights00:01 – Why I chose this paper, what is changing at Digital Pathology Place, and why foundation models are worth paying attention to now.02:15 – The core questions: what pathology foundation models are, where they are, and how difficult they are to apply in pathology.04:50 – Why pathology is becoming more cognitively demanding, and how multimodal complexity is driving interest in scalable AI.07:02 – From narrow AI to transformers: how pathology moved beyond single-task CNN models.10:16 – How transformers work in pathology: image patches as tokens, self-attention, embeddings, and downstream tasks.14:16 – Why multimodality matters, and what kinds of data foundation models may eventually integrate.15:27 – Timeline of key model developments, from “Attention Is All You Need” to gigapixel-scale pathology foundation models.17:13 – The leading models and what scale really looks like: Virchow, Mayo Clinic Atlas, UNI, CONCH, H-Optimus, and GigaPath.19:51 – Why dataset diversity matters more than sheer volume, and why TCGA is not enough.23:17 – Where foundation models still struggle: cytopathology, hematopathology, rare disease, artifacts, scanner shifts, and pen marks.28:06 – Explainability, counterfactual explanations, and why trust in pathology AI needs more than attention maps.30:17 – The real deployment hurdles: regulation, infrastructure, workflow fit, and economics.36:32 – Why AI should augment pathologists, not replace them, and which tedious tasks pathologists would gladly hand over.38:36 – Retrieval-augmented and conversational AI in pathology: where interactive systems may actually help.40:51 – Vision-language models and multimodal fusion with histology, radiology, genomics, and clinical notes.42:16 – The path forward: deployment-centric design, prospective multi-site validation, and human-AI collaboration.44:08 – Closing thoughts on AI literacy, community learning, and what needs to happen next.Resources MentionedMain paper discussed:Pathology Foundation Models: Evolution, Current Landscape, Challenges and Opportunities from a Technical and Clinical Perspectivehttps://doi.org/10.3390/bioengineering13050577Review article / journal landing page:https://doi.org/10.3390/bioengineering13050577Benchmarks mentioned:PathoBench — discussed in the review paper; use the review link here for context until you want to swap in a canonical project page:https://doi.org/10.3390/bioengineering13050577PathBench — public benchmark paper:https://arxiv.org/abs/2505.20202MEDFAIR — benchmark paper:https://arxiv.org/abs/2210.01725MEDFAIR code repository:https://github.com/ys-zong/MEDFAIRModels mentioned:Model overview in the review (Virchow/Virchow2, UNI, CONCH, H-Optimus, GigaPath, TITAN, Mayo Clinic Atlas):https://doi.org/10.3390/bioengineering13050577Virchow:https://arxiv.org/abs/2309.07778UNI:https://arxiv.org/abs/2308.15474CONCH:https://arxiv.org/abs/2307.12914Mayo Clinic Atlas:https://arxiv.org/abs/2501.05409TITAN:https://arxiv.org/abs/2411.19666Dataset mentioned:The Cancer Genome Atlas (TCGA)https://portal.gdc.cancer.gov/Book mentioned:Digital Pathology 101: All You Need to Know to Start and Continue Your Digital Pathology Journeyhttps://digitalpathologyplace.com/Platform:Digital Pathology Placehttps://digitalpathologyplace.com/Support the showGet the "Digital Pathology 101" FREE E-book and join us!

Emily Jensen sits down with Simeon Bell to talk about Citizens Church, a church he and his team are planting in Columbia, South Carolina. Simeon shares the unexpected timeline change that has his family moving this August, the vision behind the Citizens Church name rooted in Ephesians 2:19, and why Columbia is exactly where God is calling them.Episode Highlights00:27 — Simeon Bell and the Citizens Church story01:13 — An unexpected timeline change: Simeon's family is now moving to Columbia this August instead of January 202702:18 — How a local Columbia church reached out and accelerated the timeline — and what that partnership looks like03:20 — Who's going: 31 members headed to Columbia03:52 — How Simeon's years leading Cornerstone Youth equipped him for church planting05:50 — The meaning behind the name "Citizens Church" and its roots in Ephesians 2:1907:50 — Citizens Church's five core motives: Spirit-filled, authentic community, purpose-driven, sacrificial living, and kingdom multiplication07:59 — From motives to mission: preparing citizens for heaven by living faithfully on earth13:41 — The 10-year vision: 500 members, five church plants, and a launch pad up the East Coast14:29 — Why Columbia, South Carolina? The brokenness, the diversity, and the need18:02 — Columbia's racial diversity and the vision for a multiethnic church rooted in Revelation 7:919:15 — The University of South Carolina campus: 40,000 students, under 5% reached with the gospel20:04 — A surprising discovery: 52% of USC students come from the Northeast — the exact states Simeon has lived in23:18 — How to support Citizens Church: give, go, pray — and why Simeon's biggest prayer request is holiness25:58 — Simeon's gratitude for Cornerstone and what it means to be equipped and sent wellResourcesCitizens Church: Pray, Give, or GoCornerstone Sermons: Listen OnlineAsk Mark a Question!Suggest a topic or question for Mark to discuss on a future episode of the Equip Podcast!

Send us Fan MailHow far can pathologists take visual biomarker scoring before human vision becomes the bottleneck?In this episode, I talk with Doug Bowman. PhD, VP Precision Medicine at Indica Labs, about what happens when companion diagnostics move from traditional visual scoring into the era of AI-powered image analysis. Doug comes from a biomedical and electrical engineering background, with experience in microscopy, digital image analysis, pharma workflows, and now precision medicine at Indica Labs. That combination makes him a great person to talk to about how image analysis actually fits into real companion diagnostic development.We start with a very practical question: what is a companion diagnostic, and why is it becoming so important in precision medicine? Doug explains that companion diagnostics are developed alongside therapeutics to help identify which patients are most likely to benefit from a specific treatment, especially in more complex therapies like antibody-drug conjugates (ADCs). We use HER2 as an example, and from there we get into the real challenge: once a biomarker cutoff matters clinically, visual estimation around that cutoff becomes much harder than many people want to admit.That is where this conversation gets especially useful for pathologists and digital pathology trailblazers. We talk about the limits of human vision, why low or ultra-low biomarker expression is difficult to score consistently, and how AI helps at multiple levels of the workflow: slide QC, tissue classification, cell segmentation, membrane and cytoplasmic measurement, and spatial analysis. Doug makes the case that AI is not only a convenience here. In some cases, it is the only realistic way to capture the kind of quantitative information modern therapies need.We also get into one of the more interesting examples from the episode: the Trop2 story, where a ratio of cytoplasmic to membrane expression appears to predict therapeutic efficacy better than looking at one compartment alone. That kind of compartment-level quantitation is exactly where computational pathology becomes more than a digital version of what the eye already does. It starts uncovering measurements and signatures the eye cannot reliably extract on its own.Another important part of the discussion is workflow and regulation. Doug walks through how AI-powered companion diagnostics are developed from preclinical work, to human feasibility studies, to RUO or clinical trial assays, and eventually toward analytical and clinical validation with regulatory engagement happening early. We also talk about the Indica Labs and Leica Biosystems partnership, and why end-to-end capability matters when you are trying to build something clinically deployable rather than just analytically interesting.What I liked about this conversation is that it stayed grounded. We did not talk about AI as magic. We talked about image analysis as a method, companion diagnostics as a workflow, and precision medicine as something that only works when the measurement is good enough to support real decisions.Episode Highlights00:00 – Why AI matters in slide QC, tissue classification, and cell-level analysis before you even get to the biomarker score.00:54 – Doug Bowman's background in biomedical engineering, microscopy, and digital image analysis.05:16 – What a companion diagnostic actually is, and why it is critical for targeted therapies and ADCs.07:34 – Why visual biomarker scoring becomes unreliable around critical cutoffs, especially in low-expression cases.10:09 – How AI expands the workflow: slide QC, tissue classification, and precise cell segmentation.13:07 – Why pathologists remain central in AI workflows through validation, markup review, and model refinement.16:31 – The Trop2 example: when cytoplasmic-to-membrane ratio tells you more than one compartment alone.20:23 – The Indica Labs + Leica Biosystems partnership and why end-to-end workflow matters in companion diagnostics.22:53 – What the development journey looks like from early algorithm work to RUO, validation, and regulatory interaction.26:51 – Multiplexing, spatial analysis, and why more clinical value often comes with more deployment complexity.33:29 – Why image analysis literacy matters, and how shared language between pathologists and scientists becomes essential.40:13 – Where to learn more about Indica Labs and who to contact for collaboration.Resources mentionedIndica Labs Indica Labs contact – info@indicalab.comHALO software / HALO AI diagnostic image analysis – discussed in the context of companion diagnostic deployment and pharma services.Leica Biosystems GT450DX – referenced as an FDA-cleared slide scanner in the Indica-Leica partnership.Digital Pathology Association – mentioned as part of the broader educational ecosystem for digital pathology and image analysis.Digital Pathology Place / Digital Pathology Podcast – the platform hosting this conversation and related education around digital pathology and AI.Support the showGet the "Digital Pathology 101" FREE E-book and join us!

Everyone knows video is king. We see entrepreneurs building audiences, creating authority, and turning simple videos into leads, sales, and loyal customers. Yet behind the scenes, many business owners are fighting the same battle… overthinking every word, dreading the editing process, and waiting for their videos to be "perfect" before they ever hit publish.In this episode of the Marketing Boost Solutions Podcast, Capt. Marco Torres sits down with bestselling author, film producer, movement builder, and OneTake AI CEO Sébastien Night to uncover the real bottleneck keeping entrepreneurs invisible; and how AI is helping eliminate the friction between your expertise and the people who need to hear it.From overcoming perfectionism and simplifying content creation to using video to build trust, nurture relationships, and generate real business growth, this conversation is packed with practical strategies every entrepreneur can apply immediately. Because the businesses winning today aren't necessarily the smartest, the loudest, or the most polished. They're the ones willing to take action before everything feels perfect.

In this episode, Mark sits down with his friend and fellow pastor Shane Rothlisberger to tell the story of how the Acreage Church, a church plant in northeast Iowa, came to life in the most unexpected way. What began with a sick father, a family in need of community, and a living room livestream became something neither of them saw coming. Shane and Mark also discuss the spiritual state of rural Iowa and why it matters deeply for the future of the gospel.Episode Highlights00:26 — Introducing Shane Rothlisberger, pastor of the Acreage Church01:39 — How a family crisis and a move to northeast Iowa set everything in motion02:33 — Streaming Cornerstone from a living room03:17 — Wrestling with whether to call it what it was: a church plant04:26 — A moment in John 21 and Shane's calling to shepherd this flock05:33 — Cornerstone's role as the sending church for the Acreage06:00 — What a typical Sunday looks like at the Acreage Church today07:17 — Using Cornerstone's teaching series, one week behind, and how Shane contextualizes it09:31 — The spiritual landscape of rural Iowa: overchurched but unreached, and how that's shifted11:06 — A generational turnover: from cultural Christianity to irrelevance13:22 — The decline of mainline denominational churches in rural communities15:16 — Faithful pastors in rural Iowa stretched thin across multiple congregations16:13 — Easter at the Acreage: 175 people, four baptisms, and lives changed17:26 — Running out of room, and what a glorious problem that is18:28 — What Cornerstone is praying about next: rural church planting as a growing vision19:16 — "We didn't even pray for this", and what that stirs up for what God might do intentionally20:00 — A call to pray for rural Iowa and the harvest waiting thereResourcesCornerstone Sermons: Listen OnlineAsk Mark a Question!Suggest a topic or question for Mark to discuss on a future episode of the Equip Podcast!

Jim Highsmith has been thinking about decision-making for a long time. When he wrote Agile Project Management in 2004, he went looking for practical guidance on decision-making in the project management literature and found very little. That gap matters even more now.In this episode, Jim and I talk about why AI raises the stakes for executive judgment. AI can remove friction, speed up work, and take on repeatable tasks, but it can also make it easier for leaders to stop practicing the very capabilities they are paid to use. Jim brings this to life through John Boyd's OODA loop, the risk of judgment atrophy, mountaineering decisions, Rob Hall's Everest threshold, Phil Knight's pattern recognition at Nike, and a personal story from Jim's own time leading a collaborative project team at Nike.This conversation is really about how leaders build judgment deliberately: by making consequence-bearing decisions, setting thresholds before pressure arrives, creating space for slow thinking, and reflecting honestly on how decisions were made.Key TakeawaysAI can weaken judgment when leaders stop practicing it: Jim compares the risk to driving an autonomous car: the more the system takes over, the less sharp the driver becomes. AI can remove low-value effort, but leaders still need to practice making consequence-bearing decisions.The OODA loop is mostly about orientation: Jim explains that John Boyd's edge was not just speed, but his ability to update his mental model quickly. For leaders, the real work is noticing when old assumptions no longer fit the situation.Capability is knowledge plus experience plus judgment: AI can make knowledge easier to access, but it cannot replace the experience of carrying consequences. Judgment develops when people make real decisions, reflect on the outcome, and adjust how they think.Thresholds only work when enforced under pressure: Jim uses Rob Hall's Everest story to show why decision thresholds matter before emotion, ambition, or sunk cost take over. In business, those thresholds might be cost, risk, customer impact, or reversibility.Leaders need to separate fast decisions from slow judgment: Some repeatable, data-heavy decisions can be automated with guardrails. Higher-context decisions still need human orientation, pattern matching, and time to think.Reflection turns experience into better pattern matching: Barry shares his practice of documenting decisions, what was known at the time, and why the call was made. That kind of review helps leaders improve the decision process, not just judge the outcome.Additional InsightsRole modeling beats mandates: Jim describes how Boyd taught by showing the mechanics of his performance. Barry connects this to AI adoption: leaders create more movement by sharing how they are using the tools in real work.Productivity fatigue is a real AI-era risk: Barry reflects on how AI can increase output while shrinking the space to think. That matters because senior leadership work often depends on judgment, not just throughput.AI transformation is still a people problem: Jim returns to Jerry Weinberg's reminder that “no matter what they tell you, it's a people problem.” Tools help, but organizations still need to redesign the work, behaviors, and decisions around them.Pattern matching is different from gut feel: Jim uses Phil Knight's Nike decisions to show how instinct can come from years of context. What looks intuitive on the surface is often pattern recognition built through experience.Episode Highlights00:00 – Episode Recap – Jim Highsmith frames the core tension of the episode: AI can accelerate work, but it can also expose whether leaders have a real decision-making system or are quietly handing judgment to the machine.01:45 – Guest Introduction – Barry introduces Jim Highsmith, a pioneer of adaptive leadership and original Agile Manifesto signatory whose work has shaped how organizations navigate uncertainty and make high-stakes decisions. (Jim Highsmith)04:27 – Decision-Making Was Missing from the Playbook – Jim explains that when he wrote his first Agile Project Management book in 2004, he found surprisingly little practical guidance on decision-making in standard project management sources.05:47 – The Real Power of the OODA Loop – Jim revisits John Boyd's observe, orient, decide, act model and argues that orientation, the ability to update mental models under pressure, is the part leaders often underdevelop.07:19 – From Process-Centric to Judgment-Centric Management – Jim makes the case that if AI takes over more process improvement work, organizations need decision-making capacity distributed through the system, not concentrated at the top.09:14 – The Judgment Muscle Can Atrophy – Barry and Jim use the autonomous car example to show how useful automation can quietly weaken a capability when people stop practicing it.12:33 – Role Modeling Beats Mandates – Jim explains how Boyd taught fighter pilots by showing the mechanics of superior performance, which Barry connects to leaders demonstrating their own AI experiments instead of simply telling others what to do.15:50 – Capability Is More Than Knowledge – Jim defines capability as knowledge plus experience plus judgment, pointing out that LLMs can provide knowledge but not the consequence-bearing experience that shapes better calls.18:56 – Thresholds Keep Decisions Honest – Jim shares the Rob Hall Everest story to show why thresholds only matter if leaders are willing to honor them when pressure, ambition, or sunk cost pushes the other way.20:58 – Automate the Right Decisions – Jim distinguishes fast, data-dependent System One decisions from slower System Two judgments, giving leaders a practical way to decide what to automate and what to protect.24:31 – From Search Engine to Human-Agent Teams – Jim describes his own progression from using AI as a search engine to working daily with multiple humans and agents, showing that the practice evolves through use.27:06 – Productivity Fatigue and Constant Execution – Barry reflects on how AI can create more throughput while leaving less space for slow thinking, especially for leaders whose real value is making judgment calls.31:05 – Relearning the People Problem – Jim returns to Jerry Weinberg's reminder that “no matter what they tell you, it's a people problem,” and Barry connects that to companies buying AI tools without redesigning how people work.33:21 – Pattern Matching Is Not Gut Feel – Jim uses Phil Knight's early Nike decisions to explain why seasoned executives often seem intuitive because they have built patterns from industry knowledge, relationships, and lived context.36:09 – Decision Journaling Builds Better Judgment – Barry describes documenting decisions, the information available, and the rationale at the time as a way to learn from both strong and weak outcomes.37:22 – A Nike Lesson in Collaborative Judgment – Jim recalls a project decision at Nike where the team agreed with the outcome but challenged the process, giving him a lasting lesson about when people need to be part of the call.38:51 – Closing Reflections – Barry thanks Jim and points listeners toward his writing as these long-standing ideas about judgment, adaptability, and decision-making become even more relevant in the AI era.Useful ResourcesJim Highsmith's website – Jim's home base for his bio, books, articles, podcasts, and current work. (Jim Highsmith)The Adaptive EDGE – Jim's Substack on leadership, adaptability, and AI. (jimhighsmith.substack.com)The Agile Manifesto – The original manifesto and signatories list, including Jim Highsmith. (Agile Manifesto)Adaptive Leadership: Accelerating Enterprise Agility by Jim Highsmith – The book Jim references when discussing his earlier work on adaptive leadership and decision-making. (Google Books)Robot-Proof: When Machines Have All the Answers, Build Better People by Vivienne Ming – The book Jim mentions as influencing his thinking about creative human capability in the AI era. (Google Books)Boyd: The Fighter Pilot Who Changed the Art of War by Robert Coram – A deeper look at John Boyd, the OODA loop, and the “40-second Boyd” story discussed in the episode. (

AI is changing how work gets done — but more importantly, it's changing how people understand their value, identity, and ability to navigate uncertainty.That's one of the reasons I wanted Chris Walker on the show. Chris has spent years helping companies rethink growth, systems, and organizational performance, but this conversation goes far beyond marketing or AI tactics. Drawing on ideas from his new book The Frequency Era, Chris explores what happens when the work that once made people feel valuable can suddenly be done by AI and automation.One idea that stood out to me most in this conversation is that decision quality depends less on information and more on the person making the decision's internal state. In a world where AI can accelerate execution and analysis, judgment, discernment, and emotional clarity become increasingly valuable leadership capabilities — the very qualities machines cannot replicate.Key TakeawaysAI is reshaping identity, not just jobs: Chris explains that many people attach their self-worth to the work they perform. As AI absorbs more execution-based tasks, leaders will need to help teams navigate the emotional disruption that comes with that shift.Judgment becomes more valuable as automation increases: AI can accelerate execution and analysis, but leaders are still responsible for interpreting context, weighing tradeoffs, and making decisions under uncertainty.Decision quality is driven by internal state: Chris argues that calm, present leaders consistently make better long-term decisions under pressure than leaders operating from anxiety or fear.Creativity requires psychological safety: The conversation explores why innovation suffers in environments dominated by pressure and fear, and why teams create better ideas when people feel safe enough to challenge assumptions.Leaders need a compass more than a map: In fast-changing environments, rigid plans become less useful. Adaptability, awareness, and self-trust become more valuable than certainty.Additional InsightsAI exposes weak leadership systems faster: As AI accelerates execution, unclear decision-making, poor communication, and weak organizational alignment become more visible.Fear changes how people interpret information: Chris explains how anxiety and subconscious patterns can distort communication, amplify uncertainty, and affect leadership behavior.Experienced leaders reduce noise and focus on signal: Barry and Chris reflect on how strong operators simplify complexity and make clear decisions even when conditions are uncertain.Self-awareness becomes a leadership advantage: Understanding personal triggers, assumptions, and subconscious patterns improves both decision-making and interpersonal effectiveness.Episode Highlights00:00 – Episode RecapAI is not just changing how work gets done. It is forcing people to rethink identity, judgment, leadership, and the human capabilities that matter most in an uncertain future.01:42 – Guest Introduction: Chris WalkerBarry introduces Chris Walker, entrepreneur, systems thinker, and author of The Frequency Era, exploring how subconscious patterns shape leadership, performance, and decision-making.03:23 – Systems Thinking Beyond MarketingChris explains how thinking like a CEO and understanding entire systems shaped his approach to business, leadership, and organizational growth.08:11 – AI Is Elevating Human CapacityChris shares the core idea behind The Frequency Era, arguing that AI is not replacing humans but pushing people toward higher-order capabilities like judgment, creativity, and discernment.10:37 – When Identity Is Tied to WorkThe conversation explores why AI feels threatening for many people. Chris explains how attaching identity to specific tasks or roles creates fear and instability during periods of technological change.14:21 – Judgment Becomes the Competitive AdvantageBarry and Chris discuss why judgment may become the most important human skill in an AI-driven world, especially as people increasingly outsource interpretation and thinking to machines.18:58 – Calm Leaders Make Better DecisionsBarry reflects on why the best leaders are often the most present under pressure. Chris explains how emotional state directly affects decision quality and long-term outcomes.20:58 – Creativity Requires Psychological SafetyThe discussion shifts toward innovation and team dynamics. Barry and Chris unpack why fear suppresses creativity and how strong leaders create environments where people feel safe to challenge ideas.24:41 – Emotional Sovereignty and UncertaintyChris explains why anxiety, imposter syndrome, and self-doubt should be viewed as trainable patterns rather than permanent traits, especially in periods of rapid change.26:45 – Leaders Need a Compass, Not a MapThe conversation explores why rigid planning becomes less effective in fast-changing environments and why adaptability, self-trust, and clarity matter more than certainty.36:03 – The 30-Second Identity TestChris shares a simple but revealing exercise that exposes how unclear most people are about their own identity and direction.39:38 – Defining Your Own DirectionBarry reflects on why intentionality and self-awareness become critical leadership tools during periods of ambiguity and constant change.41:08 – Closing Reflections on Leadership and IdentityThe episode closes with reflections on self-awareness, adaptability, and the kind of leadership needed to navigate the AI era with confidence.FAQsQ1. What is The Frequency Era about?Chris Walker's book explores how subconscious patterns, beliefs, and emotional states influence leadership, decision-making, and performance, especially during periods of rapid technological change.Q2. Why does Chris Walker believe judgment is becoming more important in the AI era?As AI automates more execution-based work, leaders still need to interpret context, evaluate tradeoffs, and make decisions under uncertainty. Judgment becomes a differentiator when information and output are abundant.Q3. How does AI affect leadership and organizational culture?The episode explains that AI increases the pace of work and exposes weaknesses in communication, trust, and decision-making. Leaders need stronger emotional regulation and clearer principles to guide teams effectively.Q4. Why is psychological safety important for creativity?Chris and Barry discuss how fear and anxiety limit experimentation. Teams are more likely to produce innovative thinking when people feel safe enough to challenge ideas, make mistakes, and contribute openly.Q5. What human skills become more valuable as AI advances?The conversation highlights judgment, empathy, ethical reasoning, adaptability, communication, and self-awareness as essential skills that remain difficult to automate.Useful ResourcesChris Walker's book: The Frequency Era - https://a.co/d/0aUgBFeU Chris Walker on LinkedIn - https://www.linkedin.com/in/chriswalker171/ Encoded Website - https://www.encoded.ai/ Barry O'Reilly's book: Artificial Organizations - https://geni.us/artificialorgs

→ Prayer CalendarMotherhood is full of noise, rushing, and never-ending to-do lists, but what if slowing down was the most important thing you could do for your child today? In this episode of The Mind of a Child, we offer warm, gospel-centered wisdom for young mothers navigating the sacred, sometimes exhausting rhythms of nap times and bedtimes.From practical tips like writing things down, using a crockpot, and setting consistent routines, to deeper spiritual practices like prayer, scripture memorization, and worship music, this conversation reminds us that a peaceful mama makes a peaceful home. Stay consistent, extend yourself grace, and remember: raising children is some of the best work you will ever do.Episode Highlights00:00 — Why young parents should prioritize slowing down09:30 — Respecting rhythms and routines17:00 — Perspective shift on "menial" tasksPlease send us your questions if you'd like to have them discussed on the podcast: themindofachildpodcast@gmail.com The Mind of a Child is an early child development podcast that exists to encourage and equip parents to raise their kids to love God and love others. If you're looking for Biblical principles, practical parenting solutions, and science-backed research, our discussions are specifically tailored for you. Our hosts are Leslie Dudley Corbell and Diane Doucet Matthews, who each have a combined 50+ years of experience in the early child parenting space.

AI coding tools are not just changing how software gets written. They are changing how teams work, how engineers are evaluated, and where bottlenecks show up.Scott Breitenother, CEO and cofounder of Kilo, joins The Tech Trek to talk about what engineering looks like when developers are managing multiple agents, work continues overnight, and the real constraint is no longer typing code, but judgment, ownership, and process design.Scott shares how Kilo uses Kilo to build its own product, why AI only creates speed when companies rethink their workflows, and how teams can build trust in agent generated code without creating a new layer of busywork.Practical Takeaways• AI does not automatically make teams faster. If approvals, meetings, and handoffs stay the same, the bottlenecks simply move.• Engineers using coding agents still own the outcome. AI can assist with the work, but accountability for quality does not disappear.• The strongest teams will find a middle ground between blindly accepting AI output and reviewing every line as if nothing changed.• Agentic engineering may feel novel now, but Scott believes it will eventually just be called engineering.• Always on agents are already useful for monitoring, triage, and preparing recommended fixes, even if full autonomy is still selective.Episode Highlights00:38 Scott explains what Kilo is building across AI coding, open source infrastructure, and always on agents.01:16 How Kilo uses its own tools internally, and why developers are shifting from working with one agent to managing many at once.05:34 Why companies often fail to see AI speed gains when they layer new tools onto old processes.08:51 The trust curve with coding agents, from early experimentation to accountability, review, and better judgment.12:39 Why Scott sees agentic coding as a transition phase, not a permanent category.15:32 Two habits he thinks matter most right now, staying curious and trying a wide range of models and tools.18:03 What always on agents can already do today, and how that could expand over the next year.One Line That Stuck“Bringing in AI does not remove accountability from whoever creates the PR.”Pro Tips• Start small with AI assisted workflows, then expand into single agents, multiple agents, and automated review as trust grows.• Match review depth to risk. A mission critical system deserves more scrutiny than a simple cosmetic change.• Use automated review to guide human reviewers toward the areas that deserve the most attention.• Keep experimenting. A tool that fails on Monday may be materially better by Wednesday.Stay ConnectedSubscribe to The Tech Trek for more conversations on how modern technical teams are building, operating, and adapting around AI, data, platform, product, and engineering execution.

Mark sits down with Mitchell Johnson, a church planter being sent out from Cornerstone to launch The Way Church in Austin, Texas. Mitchell shares his remarkable story of growing up in New Orleans, surviving Hurricane Katrina, a crisis of suicidal despair in high school, and ultimately finding faith in Jesus at Texas Tech University. The conversation traces how God used brokenness, mentors, and years of ministry experience to equip Mitchell to plant a church in one of America's most spiritually searching cities.Episode Highlights00:27 — Introducing Mitchell Johnson and his connection to Cornerstone Church00:58 — The Way Church: launching in Austin, Texas on September 13th01:22 — Getting to know Mitchell: a peek behind the scenes before the ministry talk01:50 — Growing up in New Orleans: family background, divorce, and the Lower Ninth Ward02:51 — Mitchell's mom goes to prison — and he finds out on his own at age eight03:42 — Life in one of New Orleans's most dangerous neighborhoods04:12 — Hurricane Katrina hits: staying in the Lower Ninth Ward without evacuating05:40 — Trapped for four days, rescued by boat and helicopter, and arriving in Houston at age 1206:25 — Mitchell's grandmother: a model of faith in the middle of the storm07:44 — Depression, anxiety, and a suicidal crisis in high school08:55 — A gold cross on a rearview mirror and the moment everything changed09:28 — Coming to faith at Texas Tech University and beginning to run after Jesus12:18 — Mark reflects on Mitchell's infectious joy in the Lord13:40 — Ministry at Redeemer Church in Lubbock and the mentors who shaped him15:35 — Being handed the college pastor role at 23 and stepping into leadership17:33 — Wrestling with the call to full-time ministry and what shifted18:11 — Moving to Austin Stone and six years of ministry at UT Austin19:51 — The Way Church: mission, vision, and the launch plan for fall 202620:35 — Austin as a city: culture, spiritual climate, and why a new church is needed22:54 — Reaching the high rises, the alleyways, and the dorm rooms of Austin24:34 — John 13:35 and the heart of what The Way Church wants to be25:06 — Celebrating what God has done and what He's about to do25:49 — How to find, follow, and support The Way Church onlineResourcesCornerstone Sermons: Listen OnlineThe Way Church Austin: thewaychurchaustin.orgAsk Mark a Question!Suggest a topic or question for Mark to discuss on a future episode of the Equip Podcast!

Incorruptible with Eric RiesWhat if the companies that last the longest are the ones building enough trust that people want to keep participating in them? That's the idea behind this conversation with Eric Ries — entrepreneur, author of The Lean Startup, and now Incorruptible.Through stories such as Volvo giving away the seatbelt patent, Tony's Chocolonely opening its ethical supply chain to competitors, and Mary Parker Follett's idea of the “invisible leader,” we explore how organizations create lasting advantage through trust, shared purpose, and systems that hold together as companies scale.We also unpack why so many businesses drift toward short-term extraction, what leaders misunderstand about organizational health, and why AI is exposing deeper weaknesses in how companies operate.If you're building a company and questioning whether business-as-usual is still the right operating system, this conversation is for you.Key TakeawaysEthical business can outperform extractive business models: Eric argues that mission-driven companies are not sacrificing performance. In many cases, trust, alignment, and long-term thinking create stronger economic outcomes.Volvo used open ecosystems as strategy: Giving away the three-point seat belt patent helped establish safety as an industry standard while positioning Volvo as the global leader in automotive safety.Tony's Chocolonely treats its mission as infrastructure: The company's goal is not simply selling chocolate. Its mission is to eliminate child slavery from the cacao supply chain through systems that competitors can also adopt.Positive externalities can strengthen competitive advantage: Eric explains how companies can create value by improving the broader ecosystem around them instead of maximizing short-term value extraction.Organizations are shaped by invisible leadership: Mary Parker Follett's idea of the “invisible leader” shows how shared purpose influences decisions when executives are not in the room.Organizational health cannot be commanded: Leaders can issue instructions, but trust, accountability, and commitment have to be cultivated through systems and behavior over time.Additional InsightsThe current business narrative rewards extraction over durability: Barry and Eric discuss how modern startup culture often glorifies hyper-efficient solo founders, aggressive cost-cutting, and short-term returns while ignoring long-term organizational health.AI is amplifying leadership weaknesses, not solving them: As companies use AI to accelerate decision-making and productivity, leaders are being forced to confront whether their systems actually create clarity, trust, and aligned behavior.Mission statements are easy. Mission transmission is harder: Eric argues that values only matter when they shape real decisions, incentives, hiring, product tradeoffs, and customer experience.Open systems can expand both impact and market position: From Linux and Git to Netflix influencing AWS through open source tooling, the episode explores how sharing infrastructure can strengthen an ecosystem while also benefiting the originating company.Profit becomes dangerous when it ignores externalities: Eric explains how traditional profit models often fail to account for long-term brand damage, human cost, environmental impact, and deferred liabilities.Episode Highlights00:00 – Episode RecapEric Ries explains why organizations are living systems, not machines to be controlled. Leaders can command action, but organizational health has to be cultivated through purpose, trust, and the systems people use when no one is watching.00:57 – Barry's Opening ReflectionBarry connects AI, leadership, and decision-making systems before introducing Eric's new book, Incorruptible.02:14 – Guest Introduction: Eric RiesBarry introduces Eric Ries, entrepreneur, author of The Lean Startup, and author of Incorruptible, framing the conversation around ethical business as a path to long-term prosperity.04:34 – Researching the Stories Behind IncorruptibleEric shares how much research went into the book, including the challenge of finding stories that were not just interesting, but genuinely useful for leaders.08:07 – Volvo and the “Seatbelt Heist”Eric breaks down how Volvo's decision to give away the three-point seat belt patent created a prosperity cascade that reshaped the industry while strengthening Volvo's long-term brand position around safety.16:45 – Open Source as StrategyBarry connects Volvo's story to Netflix and cloud computing, where open sourcing internal tools helped shape the direction of the broader ecosystem.17:57 – Positive Externalities as Business StrategyEric explains why companies often overlook opportunities to create value by improving the wider system around them.20:18 – Tony's Chocolonely and Slave-Free ChocolateEric tells the story of how a Dutch journalist turned frustration over child labor in cacao production into a fast-growing chocolate company with a much larger mission.24:03 – Mission Beyond the ProductTony's mission is not simply making chocolate. The business exists to eliminate child slavery from the cacao supply chain and align economics with ethical sourcing.26:00 – Tony's Open ChainEric explains how Tony's opened its ethical supply chain to competitors while requiring them to commit to the same standards across all their chocolate products.30:32 – The False Tradeoff Between Ethics and PerformanceEric challenges the business-school assumption that companies must choose between mission and profit, arguing that the data often shows the opposite.33:23 – Redefining ProfitBarry and Eric discuss why traditional definitions of profit often ignore externalities, deferred liabilities, human cost, and long-term brand damage.39:19 – The Myth of the Solo FounderBarry pushes back on modern founder mythology and explains why anything built to last depends on systems, teams, and shared ownership.40:36 – Mary Parker Follett and the Invisible LeaderEric introduces management thinker Mary Parker Follett and explains why her ideas about shared purpose and distributed authority were decades ahead of their time.45:00 – What Guides Decisions When Leaders Aren't PresentEric explores Follett's idea of the invisible leader: the shared sense of purpose that influences behavior when no executive is in the room.49:35 – Organizations as Living SystemsEric compares organizations to emergent intelligence systems like ant colonies or the human body, arguing that leaders can cultivate organizational health but cannot directly command it.52:30 – Closing ReflectionsBarry and Eric reflect on the need for new business models that prioritize trust, mission alignment, and long-term value creation over extraction.Useful ResourcesEric Ries — IncorruptibleEric Ries — The Lean StartupEric Ries on LinkedIn - https://www.linkedin.com/in/eries/ The Eric Ries Show YouTube - https://www.youtube.com/@theericriesshow Barry O'Reilly — Artificial Organizations - https://geni.us/artificialorgsFAQsQ1: What is Eric Ries' book Incorruptible about?Incorruptible explores how leaders can build companies that stay aligned with their mission as they grow. Eric looks at stories from business history to show how purpose, governance, incentives, and ownership shape whether companies create long-term value or lose their way.Q2: Why does Eric Ries use Volvo as an example?Volvo's three-point seat belt story shows how a company can create value by spreading a mission beyond its own products. By making the patent available to others, Volvo helped establish safety as an industry standard while strengthening its own reputation for safety.Q3: What is Tony's Chocolonely trying to change?Tony's Chocolonely is trying to eliminate child slavery from the cacao supply chain. The company sells chocolate, but the deeper mechanism is building an ethical supply chain that other companies can use through Tony's Open Chain.Q4: What does Mary Parker Follett mean by the invisible leader?The invisible leader is the shared purpose that guides people's decisions when no formal leader is present. It is what shapes behavior in everyday moments, such as how teams handle quality issues, customer problems, or ethical tradeoffs.Q5: Can leaders...

Mark tackles one of the most avoided conversations in the Christian life: how do we approach health, medical care, and dying in a way that reflects a biblical worldview? With honesty and care, he challenges listeners to stop prolonging death and start pursuing a life of flourishing, all the way to the end.Episode Highlights00:27 — Introducing the topic: end-of-life health and the final decades of life 01:46 — The technology that prolongs death, not life — and why Christians need to think carefully about it 04:43 — Three principles for approaching end-of-life health as a Christian 05:20 — Principle 1: Stay healthy now — the four pillars of preventable disease 08:19 — The fifth pillar: social connection and why it matters more than most realize 10:25 — Principle 2: Doctor by decade — why your 40s approach shouldn't look like your 80s approach 12:52 — The shortage of geriatric doctors in America and what it means for you 14:31 — A personal story: Mark's dad, congestive heart failure, and asking hard questions about treatment 17:00 — Principle 3: Terminal illness, hospice, and palliative care — quality of life over length of life 19:20 — What hospice care actually is (and isn't) — and why Christians shouldn't fear it 21:33 — A firm word on euthanasia: the difference between dying well and ending life 22:19 — Closing call: have honest conversations with your family, your doctor, and your friendsResourcesCornerstone Sermons: Listen OnlineHow to Make Disease Disappear by Rangan Chatterjee — practical framework for preventable diseaseOutlive by Peter Attia — a deeper dive into longevity and healthspanAsk Mark a Question!Suggest a topic or question for Mark to discuss on a future episode of the Equip Podcast!

Mark tackles one of the most practical (and often avoided) topics in the Christian life: what does faithful stewardship look like in the final season of life? Drawing from Scripture and real conversations with retirees, Mark offers biblical principles and concrete wisdom for navigating end-of-life finances, inheritance, and Kingdom generosity.Episode Highlights00:27 — Introducing the topic: end-of-life finances, inheritance, and kingdom-centered giving 01:00 — Two North Stars: all money belongs to God; leaving a legacy has biblical priority 02:33 — Why most people want to be generous but struggle with the mechanism 03:31 — Four financial buckets retirees commonly fall into 07:50 — The Macedonian and Corinthian principles: everyone gives something, but not the same something 09:36 — Applying biblical proportionality to each financial scenario 14:31 — The $85 trillion baby boomer wealth transfer — and why Christians can't be absent 16:04 — End-of-life medical expenses: what the numbers actually look like 17:04 — "We are taking longer to die" — why Christians should pursue flourishing living, not slow dying 21:33 — Three options for covering long-term care costs 24:19 — Inheritance principles: it's not only monetary, and money amplifies character 27:48 — Treating the church as "another child" and giving in strategic stages 30:19 — Kingdom generosity: capping personal spending and investing the rest for God's purposes 35:22 — Final word: seek first the Kingdom, trust God's provision, open your handsResourcesCornerstone Sermons: Listen OnlineAsk Mark a Question!Suggest a topic or question for Mark to discuss on a future episode of the Equip Podcast!

Watch the YouTube version of this episode HEREThis episode gives you a clear, practical picture of how law firm SEO is changing right now so you can make smarter, more informed decisions about where to invest your time and money. Tyson sits down with Vaidas and Travis from RiseUp to unpack Google's latest updates, how AI content is being treated, and what actually moves the needle for firms that want cases instead of vanity rankings.You'll hear how Google is cracking down on scaled, low‑value AI content while rewarding original, human‑edited pages that deliver real information gain, and what that means for your current content library. The guys explain why “set it and forget it” SEO is dead, why they are going back to update a significant chunk of old content for long‑time clients, and how often you really need to revisit key pages. They also share a cautionary story about a firm that dumped 100 AI‑generated pages on their site and watched traffic drop by about 80% in two weeks, giving you a real‑world example of what not to do.Beyond Google's core update, you'll get a better understanding of where LLMs and search engines are actually looking: robust attorney bios, detailed case results, local signals, Yelp profiles, and consistent social content. That context helps you see SEO less as “just my website” and more as an ecosystem you can deliberately shape, instead of leaving it to chance.The episode also dives into PPC, showing how Google's own “smart” recommendations can tank your click‑through rate and why pay‑per‑click only works when you know your cost per click, conversion rate, and case value. By the end, you'll have a much clearer lens for deciding whether to put dollars into SEO, PPC, or cleaning up your broader online presence, and you'll know which questions to ask any marketing vendor before you sign the next contract.Episode Highlights00:00 – What's going on with the latest Google algorithm updates and how they impact law firm SEO.02:00 – Why “set it and forget it” content strategies are failing and how often you should update pages.04:00 – The firm that added 100 AI‑written pages and lost 80% of its traffic in two weeks.07:30 – How stats, FAQs, robust bios, case results, Yelp, and social posts feed Google and LLMs.10:00 – Tyson's CTR drop after following Google's “smart” ad recommendations and what to learn from it.15:45 – Travis's deck‑of‑cards analogy for PPC budgets and what “too little” spend really looks like.26:12 – Why most firms don't truly know their numbers and how that leads to bad SEO and ad investment decisionsConnect with RizeUp Media:Website Instagram Facebook Linkedin YoutubeResources:Join the Guild MembershipSubscribe to the Maximum Lawyer Youtube ChannelFollow us on InstagramJoin the Facebook GroupFollow the Facebook PageFollow us on LinkedIn

Summer is one of the most enjoyable seasons of the year, but it can also be one of the most spiritually distracting. In this episode, Mark and Emily talk about how to approach the summer months with intentionality through the Spiritual Workout Plan. This conversation offers a practical ways to stay rooted in Christ during a season that often pulls people away from consistency and challenges listeners to pursue depth, not just rest.Episode Highlights00:35 — Why summer can be both life-giving and spiritually distracting01:05 — The goal: approaching summer with intentionality, not drift02:04 — Building a plan for Scripture reading during the summer months03:56 — Why spiritual growth doesn't happen by accident05:56 — Reflection from past rhythms (Lent) and how they shape future habits07:57 — Creating a “punch list” for spiritual growth09:57 — The importance of accountability and doing this with others12:01 — Key components of the Spiritual Workout Plan14:10 — Finding practical and creative ways to stay consistent15:55 — Adapting rhythms to fit the unique pace of summerResourcesCornerstone Sermons: Listen OnlineAsk Mark a Question!Suggest a topic or question for Mark to discuss on a future episode of the Equip Podcast!

Send us Fan Mail“Take your time, enjoy the journey, and make great friends.”-Mark PierceExclusive Insights from This Week's EpisodesFounders build wealth, then leave it exposed. Trust Attorney Mark Pierce reveals why protection, legacy, and exit planning must begin before crisis arrives. Listen now.EPISODE HIGHLIGHTS00:05 Mark Pierce's family history reveals why wealth without protection can vanish00:14 Why waiting to assemble advisors weakens your future deal position00:19 The dangerous belief that asset protection is only for the ultra wealthy00:21 How skeletons can push buyers away or destroy enterprise value00:25 Why Wyoming trusts may protect assets, privacy, and long term legacy00:31 The overconfidence pattern that shows up before founders lose control00:45 The one legacy question every founder must answer before it is too lateFull show notes, transcript, and resources for this episode:https://podcast.deepwealth.com/539The Deep Wealth PodcastMost entrepreneurs do not fail.They just carry too much for too long.The business grows. Pressure grows faster. Profits get harder to predict. Decisions cost more energy. Over time, focus slips and health takes the hit.The Deep Wealth Podcast and Deep Wealth Mastery are built from real experience. We're the only system based on a 9-figure exit. This system exists because guessing gets expensive.

Most people think growth comes from doing more—more services, more offers, more complexity. But in this episode, I sit down with Tas Bober, who did the exact opposite. She stripped everything back, focused on one problem, and built a business so clear people can describe it in a single sentence. This conversation is about the courage to simplify—and why that's far harder (and more powerful) than it sounds.Tas didn't plan to become an entrepreneur. After layoffs, burnout, and a side experiment on LinkedIn, she found herself with unexpected demand—but no clear direction. It wasn't until she made a bold, uncomfortable decision to niche down into landing pages that everything changed. What followed is a masterclass in clarity, positioning, and designing a business that actually fits your life—not the other way around.Key TakeawaysNiching down creates clarity: Focusing on one problem made it obvious what Tas does—and why clients should choose her.Doing less accelerates growth: Eliminating distractions and context switching improved both quality and income.Clarity beats capability: Being known for one thing is more valuable than being able to do many.Positioning drives inbound demand: Clear positioning meant clients showed up with defined problems—making selling easier.Data should guide decisions: Tracking time revealed which work actually delivered the highest return.Design your business around your life: Tas optimized for time, flexibility, and energy—not scale for the sake of it.Additional InsightsTrying to do everything can make you lose authority: You shift from expert to order taker.Community accelerates growth: Trusted peers help challenge thinking and shorten the learning curve.Scarcity mindset delays focus: Holding onto everything early can prevent meaningful progress.AI amplifies thinking—it doesn't replace it: Expertise and nuance still drive better outcomes.Simplicity requires discipline: Even after success, the temptation to expand never goes away.Episode Highlights00:00 – Episode RecapTas shares how narrowing her focus to one specific problem transformed her business, income, and lifestyle.01:00 – The Accidental EntrepreneurTas reflects on being laid off twice and how a side experiment on LinkedIn unexpectedly opened new opportunities.05:00 – The Struggle of Starting OutShe describes the early chaos of offering everything, underpricing, and trying to figure out what problem she actually solved.08:30 – The Niching Down BreakthroughA peer challenges Tas to focus on landing pages—and within a week, everything changes.12:30 – Why Clarity Wins in BusinessBarry and Tas unpack why being known for one thing beats showcasing a wide range of capabilities.17:00 – The Power of Focused RepetitionTas explains how working on the same problem repeatedly builds deep expertise and pattern recognition.20:30 – The Economics of SpecializationTracking her time reveals a stark difference in earnings between general consulting and niche work.24:30 – Cutting Everything ElseTas makes the difficult decision to eliminate all other services and go all-in on landing pages.26:00 – Resisting the Urge to ExpandEven after success, the temptation to do more returns—and why discipline is required to stay focused.29:00 – Fast Decisions and IterationTas shares her approach to reversible decisions and rapid experimentation.31:00 – Building a Values-Driven BusinessShe discusses choosing clients based on alignment and maintaining an audience-first mindset.34:00 – The Role of Simplicity in GrowthBarry highlights how clear positioning is often the biggest unlock for entrepreneurs.36:50 – Designing a Business Around LifeTas reflects on working three days a week and prioritizing enjoyment and flexibility.38:00 – AI, Creativity, and Human InsightWhy AI can't replace nuanced expertise—and how human judgment remains critical.39:30 – Closing ReflectionsA final look at growth, experimentation, and the ongoing journey of building something meaningful.FAQsQ1. Why is niching down important for business growth?Niching down creates clarity in your positioning, making it easier for customers to understand what you do and why they should choose you. It also improves inbound demand and simplifies sales conversations.Q2. Can focusing on one service really increase revenue?Yes. Specializing allows you to become more efficient, deliver higher-quality results, and charge premium rates—often earning more while working less.Q3. How do you choose the right niche for your business?The best niche sits at the intersection of your experience, market demand, and repeatable problems you've solved. Testing a niche for a defined period can help validate it quickly.Q4. What are the benefits of clear positioning in a crowded market?Clear positioning helps you stand out by making you the first person people think of when they have a specific problem, reducing competition and increasing trust.Q5. How does specialization compare to using AI tools in business?AI can support execution, but it lacks the nuanced insight and pattern recognition that comes from deep specialization. Experts who focus on one problem can deliver more valuable and differentiated outcomes.

Send us Fan Mail“Don't worry, everything is going to work out.”-Tad FallowsExclusive Insights from This Week's EpisodesMost founders prepare for the deal and ignore what comes after it. Tad Fallows reveals why a big exit can create new pressure, costly decisions, and a search for meaning that founders never saw coming. This is the post-exit truth nobody talks about.EPISODE HIGHLIGHTS00:05 Why going from one illiquid asset to a liquid net worth creates a whole new category of founder questions00:07 The uncommon exit lesson Tad would repeat immediately: hiring the right investment banker00:10 Why life inside a large acquirer can feel profitable on paper and miserable in practice for a founder00:14 What makes Long Angle different from CEO peer groups and why no-solicitation matters after a liquidity event00:22 The painful post-exit mistakes founders make when they are bored, overconfident, and around the wrong advice00:30 Why even founders with $25 million can still feel emotionally paycheck to paycheck00:36 The 80 20 post-exit rule: handle the financial basics first, then delay irreversible life decisionsFull show notes, transcript, and resources for this episode:https://podcast.deepwealth.com/537The Deep Wealth PodcastMost entrepreneurs do not fail.They just carry too much for too long.The business grows. Pressure grows faster. Profits get harder to predict. Decisions cost more energy. Over time, focus slips and health takes the hit.The Deep Wealth Podcast and Deep Wealth Mastery are built from real experience. We're the only system based on a 9-figure exit. This system exists because guessing gets expensive.

Mark is joined by his wife, Crystal, to talk about the “summer” season of life: young adulthood, marriage, and building a life marked by faithfulness. Through stories and wisdom, they reflect on navigating relationships, finances, work, and spiritual growth in the early years of adulthood.Episode Highlights00:26 — Introducing Crystal and the focus on the “summer” season of life01:00 — Transitioning from youth to adulthood and new responsibilities02:49 — How God led their early adult decisions and direction04:20 — Early marriage realities and learning to grow together05:38 — Navigating uncertainty and figuring life out in real time06:58 — Wrestling with unknowns and trusting God in the process08:19 — Financial realities and learning how to live within limits09:32 — Making practical decisions about lifestyle and affordability10:54 — Advice for those entering adulthood and learning from others12:10 — Early financial decisions and stewardship (saving, working, planning)13:31 — Balancing work, life, and long-term direction14:51 — How cultural expectations shape decisions about life and family16:13 — The role of community and learning from others in similar stages17:38 — Choosing faithfulness over drifting or “messing around” in this season18:51 — Living intentionally for the Lord in everyday decisions20:09 — The danger of lack of intentionality in early adulthood21:16 — Trusting God's timing and provision22:33 — Recognizing God's kindness and guidance along the way23:43 — Final reflection: life as a gift from God to steward wellResourcesCornerstone Sermons: Listen Online"How to Speak Life to Your Husband: When All You Want to Do Is Yell at Him" by Ann WilsonAsk Mark a Question!Suggest a topic or question for Mark to discuss on a future episode of the Equip Podcast!