Podcasts about automating

What if saving money didn't require giving up the things you enjoy—but simply changing how you manage what you already earn? The truth is, small, intentional habits can quietly build significant wealth over time. By putting the right systems in place, you can make saving feel effortless instead of overwhelming.  Links: Track your savings goals with Goal Builder Explore some other saving challenges to make saving fun Check out TCU University for financial education tips and resources! Follow us on Facebook, Instagram and Twitter! Learn more about Triangle Credit Union Transcript: Welcome to Money Tip Tuesday from the Making Money Personal podcast.   Saving money doesn't have to feel restrictive. With the right strategies you can steadily build financial security without drastically changing your lifestyle. Whether you're just getting started or looking to improve your current habits, these 5 practical approaches can help you save more efficiently and consistently.  Number 1: Automate savings with direct deposit.  One of the simplest and most effective ways to save money is to remove the need for decision-making altogether. Automating your savings ensures that a portion of your income is set aside before you have the chance to spend it.  Many employers allow you to split your direct deposit into multiple accounts. By directing a percentage of each paycheck into a dedicated savings account, you create a "pay yourself first" system. This method builds savings effortlessly and reduces the temptation to spend.  Even small automated contributions of 5-10% or $25-$50 a paycheck can add up significantly over time, especially when paired with interest-earning accounts.   Number 2: Set up a savings goal tracker.  Having a clear savings goal gives your efforts purpose and direction. Whether you're saving for an emergency fund, a vacation, or a large purchase, tracking your progress helps you stay motivated.  A savings tracker can be as simple as a spreadsheet, mobile app, or visual chart. For more sophisticated tracking try an online banking tool like Triangle's Goal Builder tool within online and mobile banking. Seeing your progress grow over time reinforces positive financial behavior and keeps you accountable.  To make tracking more fun, break your larger goals into smaller milestones. For example, instead of focusing on saving $10,000, focus on and celebrate reaching every $1,000 mark. These smaller wins make the process feel achievable and rewarding.  Number 3: Try a savings challenge.  Savings challenges are a fun and structured way to build momentum. They turn saving into a game, making it more engaging and less of a chore.  Popular challenges include:  The 52-week challenge, where you gradually increase your savings each week or save a certain amount of money each week for a whole year The no-spend challenge, where you limit discretionary purchases for a set period The round-up method, where purchases are rounded up and the difference is saved The 100-envelope challenge, where you save a specified dollar amount in every envelope until they're all filled  These challenges not only boost your savings but also increase awareness of your spending habits. Over time, they can help you develop long-term discipline and smarter financial choices.  For more ideas on additional savings challenges visit triangleuniversity.org or follow the link in the show notes.   Number 4: Seek out high-yield savings accounts.  Not all savings accounts are created equal. Traditional accounts often offer minimal interest, while high-yield savings accounts provide significantly better returns.  By keeping your money in a high-yield account, you allow your savings to grow passively through compound interest. Even modest interest rates can make a noticeable difference over time, especially with consistent contributions.  When comparing accounts, consider:  Interest rates (APY) Fees Minimum balance requirements to open the account or earn interest Ease of access  Choosing the right high-yield savings account ensures your money is working as hard as you do.  Number 5: Make use of employer benefits like FSAs and HSAs.  Employer-sponsored benefits such as Flexible Spending Accounts (FSAs) and Health Savings Accounts (HSAs) can be powerful tools for saving money, particularly on healthcare expenses.  These accounts allow you to set aside pre-tax income, effectively reducing your taxable income and increasing your take-home value. HSAs, in particular, offer long-term advantages since unused funds can roll over year after year and even be invested.  By planning for expected medical costs using these accounts, you can avoid dipping into your regular savings and maximize your financial efficiency.  Saving money effectively isn't about making drastic sacrifices—it's about building smart, sustainable habits. By automating your savings, tracking goals, engaging in challenges, maximizing interest, and leveraging available benefits, you can steadily grow your financial security.  Start small, stay consistent, and remember: every dollar saved is a step closer to your financial goals.  If there are any other tips or topics you'd like us to cover, let us know at tcupodcast@trianglecu.org. Also, remember to like and follow our Making Money Personal Facebook and Instagram to share your thoughts. Finally, remember to look for our sponsor, Triangle Credit Union, on Facebook and LinkedIn.           Thanks for listening to today's Money Tip Tuesday. Check out our other tips and episodes on the Making Money Personal podcast. 

A $400,000 B2B card payment sounds simple until a processor flags it, the finance team cannot reconcile it, and the invoice sits open while DSO creeps up. That gap between delivering product and collecting cash is where B2B payments either become a growth engine or a constant operational headache.I sits down with Thomas Cecil, Co-Founder of PAYRA, to unpack how modern accounts receivable automation actually works when you have real scale like thousands of invoices per month and customers paying by card, ACH, wire, or check. We talk through PAYRA's approach to the invoice-to-cash cycle, why deep ERP integrations matter more than glossy dashboards, and how automated payment reconciliation into the general ledger eliminates the manual posting that blocks adoption. Thomas also explains the practical details finance teams care about, like handling surcharging and posting to multiple GL entries without breaking the books.We also zoom out to where B2B payments is headed: partnering with ISOs instead of trying to replace them, using AI agents to pull invoice metadata from legacy ERPs with limited APIs, and the growing opportunity in cross-border receivables. Thomas shares why stablecoins may reduce correspondent banking friction and why workflows and value-added services are becoming the real business model behind payments.

Discover all of the podcasts in our network, search for specific episodes, get the Optimal Living Daily workbook, and learn more at: OLDPodcast.com. Episode 4048: Benjamin Hardy explores how repeated practice and intentional overtraining can turn a learned behavior into an automatic part of your identity. Drawing on psychology and expert performance, he explains how increasing difficulty, pressure, and distraction can help you move beyond simple competence toward creativity, flexibility, and lasting personal growth. Read along with the original article(s) here: https://betterhumans.pub/the-science-of-automating-and-perfecting-any-skill-ea89f55b5f3e Quotes to ponder: "Learn the rules like a pro, so you can break them like an artist." "Achieving “automaticity” is about making a newly learned skill a part of who you are, as opposed to just a thing you can do." "Overtraining is about continuously practicing something you've already learned inside and out. Once you've over-learned a skill, you no longer need a script but can perform or even teach that skill in different ways and in different contexts." Episode references: Relentless: https://www.amazon.com/Relentless-Unstoppable-Athletes-Greatness-That-ebook/dp/B00FUZQYBO The Art of Learning: https://www.amazon.com/Art-Learning-Journey-Optimal-Performance/dp/0743277465 Learn more about your ad choices. Visit megaphone.fm/adchoices

Discover all of the podcasts in our network, search for specific episodes, get the Optimal Living Daily workbook, and learn more at: OLDPodcast.com. Episode 4048: Benjamin Hardy explores how repeated practice and intentional overtraining can turn a learned behavior into an automatic part of your identity. Drawing on psychology and expert performance, he explains how increasing difficulty, pressure, and distraction can help you move beyond simple competence toward creativity, flexibility, and lasting personal growth. Read along with the original article(s) here: https://betterhumans.pub/the-science-of-automating-and-perfecting-any-skill-ea89f55b5f3e Quotes to ponder: "Learn the rules like a pro, so you can break them like an artist." "Achieving “automaticity” is about making a newly learned skill a part of who you are, as opposed to just a thing you can do." "Overtraining is about continuously practicing something you've already learned inside and out. Once you've over-learned a skill, you no longer need a script but can perform or even teach that skill in different ways and in different contexts." Episode references: Relentless: https://www.amazon.com/Relentless-Unstoppable-Athletes-Greatness-That-ebook/dp/B00FUZQYBO The Art of Learning: https://www.amazon.com/Art-Learning-Journey-Optimal-Performance/dp/0743277465 Learn more about your ad choices. Visit megaphone.fm/adchoices

Discover all of the podcasts in our network, search for specific episodes, get the Optimal Living Daily workbook, and learn more at: OLDPodcast.com. Episode 4048: Benjamin Hardy explores how repeated practice and intentional overtraining can turn a learned behavior into an automatic part of your identity. Drawing on psychology and expert performance, he explains how increasing difficulty, pressure, and distraction can help you move beyond simple competence toward creativity, flexibility, and lasting personal growth. Read along with the original article(s) here: https://betterhumans.pub/the-science-of-automating-and-perfecting-any-skill-ea89f55b5f3e Quotes to ponder: "Learn the rules like a pro, so you can break them like an artist." "Achieving “automaticity” is about making a newly learned skill a part of who you are, as opposed to just a thing you can do." "Overtraining is about continuously practicing something you've already learned inside and out. Once you've over-learned a skill, you no longer need a script but can perform or even teach that skill in different ways and in different contexts." Episode references: Relentless: https://www.amazon.com/Relentless-Unstoppable-Athletes-Greatness-That-ebook/dp/B00FUZQYBO The Art of Learning: https://www.amazon.com/Art-Learning-Journey-Optimal-Performance/dp/0743277465 Learn more about your ad choices. Visit megaphone.fm/adchoices

Matt Faircloth talks to David Fields, CEO of AcquiOS, is a former Disney executive with a track record of orchestrating multi-billion-dollar acquisitions and a pioneering AI entrepreneur transforming real estate analysis. David shares the proprietary AI platform, AcquiOS, which automatically extracts data from documents, benchmarks assumptions against market intelligence, and scores deals based on your unique buy box. Whether you're evaluating multifamily, self-storage, or commercial assets, learn how this technology dynamically adapts to asset class complexity, enabling you to identify promising opportunities faster and with more confidence. David Fields Chief Executive Officer of AcquiOS Based in: Beverly Hills, California Where to find them: https://www.linkedin.com/in/davidrfields/ https://acquios.ai/ Book your free demo today at bill.com/bestever and get a $100 Amazon gift card. Visit https://malabarhillcapital.com/ for more info. Podcast production done by⁠ ⁠Outlier Audio⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

In "Fleet Profitability Unleashed: The Optimal Dynamics Advantage", Joe Lynch and Zach Schuchart, Senior Vice President, Head of Sales at Optimal Dynamics, discuss how decades of academic research and advanced decision intelligence are being used to automate complex logistics and maximize carrier profitability. Zach Schuchart Zach Schuchart is the Senior Vice President, Head of Sales at Optimal Dynamics. He has over 20 years of experience in the North American and European transportation industries, including roles at UPS, CHAINalytics, and XPO, he brings deep expertise and leadership to the Optimal Dynamics team. As Head of Sales, he oversees a talented group of Account Executives and Solutions Engineers, guiding prospective customers through the evaluation of advanced optimization solutions that drive operational success. About Optimal Dynamics  Optimal Dynamics provides the decision intelligence layer that powers logistics transformation. Born out of 40 years of research at Princeton University, Optimal Dynamics leverages proprietary artificial intelligence technology to automate, optimize, and radically improve decision-making across trucking and transportation operations. Headquartered in New York City, Optimal Dynamics is backed by marquee investors including Koch Disruptive Technologies, Bessemer Venture Partners, The Westly Group, and Activate Capital. Learn more at www.optimaldynamics.com. Key Takeaways: Fleet Profitability Unleashed: The Optimal Dynamics Advantage In "Fleet Profitability Unleashed: The Optimal Dynamics Advantage", Joe Lynch and Zach Schuchart, Senior Vice President, Head of Sales at Optimal Dynamics, discuss how decades of academic research and advanced decision intelligence are being used to automate complex logistics and maximize carrier profitability. From Research to Reality: The Princeton Pedigree. Optimal Dynamics isn't just another tech startup; it is built on 40 years of academic research from Princeton University. This provides a level of scientific rigor and proprietary AI that differentiates their solutions from standard off-the-shelf logistics software. The Power of "Decision Intelligence". While many platforms focus on data visibility (showing you what is happening), Zach highlights the shift toward Decision Intelligence. This layer automates and optimizes the choice itself, helping carriers move from reactive management to proactive, data-driven execution. Bridging the Gap Between Planning and Execution. Leveraging Zach's 20+ years of experience at giants like UPS and XPO, the episode explores how traditional planning often fails when it hits the "real world." Optimal Dynamics focuses on creating dynamic plans that account for the inherent volatility in trucking operations. Leveraging High-Dimensional Artificial Intelligence. The core technology focuses on solving "high-dimensional" problems. Instead of looking at simple variables, the platform uses AI to process thousands of data points simultaneously—such as driver hours, fuel costs, and lane profitability—to find the "Optimal" solution. Automating the Complexities of Trucking. Automation isn't just about replacing manual tasks; it's about augmenting human capability. Zach discusses how their solutions allow sales and operations teams to evaluate complex scenarios in minutes rather than days, drastically reducing the "evaluation-to-action" cycle. Maximizing Profitability in Volatile Markets. In an industry with razor-thin margins, "Optimal Dynamics" means finding the most profitable way to move freight despite fluctuating market conditions. The platform helps fleets identify which loads to accept and how to route them to ensure maximum fleet utilization. Strategic Backing for Long-Term Transformation. The company's growth is fueled by marquee investors like Bessemer Venture Partners and Koch Disruptive Technologies. This level of backing underscores the industry's belief that Optimal Dynamics is a foundational player in the future of global logistics infrastructure. Learn More About Fleet Profitability Unleashed: The Optimal Dynamics Advantage Zach Schuchart Optimal Dynamics | Linkedin Optimal Dynamics Optimizing for the Future: D.M. Bowman Embraces Decision Automation Shifting From Manual Grind to Automated Growth Driving Strategic Growth and Innovation with Decision Automation How Smarter Planning Leads to Stronger Performance Rapid Transformation and Record-Breaking Results at Grand Island Express During Freight Recession, BCB Transport Sees 19.6% Increase in Revenue Per Truck After Embracing Artificial Decision Intelligence The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

Contact us and share your opinionSee how GP Automate can help clear your pathology inbox: https://www.gpautomate.com00:00 Meet GP Automate Team02:10 Admin Challenges04:34 Practice processes06:30 Result filing experience10:00 GP admin conundrum11:30 GP Automate in action11:50 GP Automate integration13:30 Lab report certainty15:48 Hidden GP Path result costs17:03 Practice configurations and protocols19:30 Automating your QoF and LES outcomes21:30 Safety at its core25:50 Automating 80+ abnormal  GP results29:35 What GP automate doesnt do30:10 When GP results are normal but not normal32:00 GP Automate Clinical Safety34:40 Results Trend analysis36:20 QoF benefits38:05 LES benefits40:05 GP Automate Case examples42:30 How is time saved calculated46:25 What is a result?48:15 GP Automate cost51:20 GP automate what is next53:08 Practice impact with GP automate55:20 Contact GP Automate free trial56:50 GP Automate onboarding58:20 Data Governance59:50 More questionsSee their channel ‪@gpautomate3165‬ GP partners. Your lab inbox — how much of your week does it eat? Fivehours? Ten?Stop. There is a legal way to automate abnormal results now. Not normal — abnormals.Built by a GP, MHRA Class 1 registered, used by 200+ practices across 23 ICBs.If you are still manually filing bloods in 2026, you are losing money and burning out your team.Join Dr Mike as he shares how to get started and fly using EMIS to make your life easier with this clinical systembit.ly/EMIScourse

We're back! After a short hiatus, Rizaan, Lyle, and JP reunite for a packed solo episode. We catch up on the season, JP gets called "Peesha" in public, and Lyle revisits the hilarious drag name comments from a previous episode — before diving deep into what really matters this month.June 16 | 50 Years Since The Soweto Uprising — Rizaan leads a powerful conversation reflecting on the 1976 uprising and what Youth Day truly means in 2026. We examine what has genuinely changed for South African youth, what still hasn't, and why youth unemployment remains an alarming crisis despite the work that still needs to be done in this country. We also shift the "Message of Hope" segment into Threads of Hope — an open invitation to organizations to collaborate and uplift communities together.

Jason Valentino is Head of Software Engineering Strategy at BNY, where he oversees developer tooling, DevEx, platform workflows, and software delivery governance across more than 8,000 engineers.In this session from DX Annual, Jason shares how BNY moved beyond AI coding assistants to rethink the entire software delivery lifecycle. He explains how his team identified bottlenecks across the SDLC, prioritized automation opportunities, and applied AI to planning, peer review, testing, change management, and compliance workflows.Jason also discusses what it takes to scale AI inside a highly regulated enterprise, including rewriting policies, partnering closely with risk and audit teams, and building a culture that encourages experimentation and rapid sharing of ideas.Where to find Jason Valentino:• LinkedIn: https://www.linkedin.com/in/jasonvalentinoIn this episode, we cover:(00:00) Intro (01:20) Early results from AI coding tools at BNY(04:08) The 3X stress test: What breaks if engineering throughput triples?(06:56) Three ways to apply AI across the SDLC: IDE and CLI tools(08:07) Using autonomous AI agents for repetitive engineering tasks(09:16) Embedding AI directly into SDLC workflows(12:27) Why leaders should encourage experimentation and “start saying yes”(15:00) Q&A: How platform and productivity teams are evolving to support AI(16:33) Q&A: Rewriting policies and controls for AI-assisted software delivery(17:52) Q&A: How AI is affecting software quality and test ownership(19:00) Q&A: What Jason is most proud of: Practical examples of AI across the SDLC(20:30) Q&A: How BNY handles duplicated work across AI initiatives(22:30) Q&A: How BNY uses AI to support regulatory and compliance work(23:30) Q&A: Automating code reviews and change tickets(25:55) Q&A: How increased AI-driven throughput is affecting on-call and reliability(27:11) Q&A: How BNY works with risk and audit partners to move quickly with AI(29:01) Q&A: How BNY scales successful AI use cases across the organization(30:42) Q&A: What Jason is most proud of after BNY's busiest year with AIReferenced:• AI-assisted engineering: Q4 impact report• Measuring AI code assistants and agents• Measuring developer productivity with the DX Core 4• Windsurf• Claude Code by Anthropic | AI Coding Agent, Terminal, IDE• Codex | AI Coding Agent

In Episode 307 of the FNO: InsureTech Podcast, hosts Rob Beller and Lee Boyd welcome Aman Gour, Co-founder and CEO of FurtherAI, joining from San Francisco, the epicenter of today's AI revolution. Aman shares his journey from Microsoft to second time founder, and how he is now building one of the most ambitious AI driven companies in insurance. Aman discusses how FurtherAI is helping insurers automate real work across the entire policy lifecycle using AI agents that can process documents, make decisions, and execute workflows end to end. He explains why insurance, with its reliance on unstructured data and manual processes, is uniquely positioned for transformation through AI. The conversation goes beyond technology, exploring what it means to build a company during a once in a generation platform shift, why humility and domain expertise matter in vertical AI, and how founders can navigate rapid change while building lasting value. Aman also shares insights on scaling quickly, earning customer trust in a risk averse industry, and his long term vision of building a public company. Key Highlights [04:00] Meet Aman Gour and FurtherAI Aman introduces FurtherAI and shares the company's mission to transform insurance using AI agents that automate real workflows across the value chain. [07:00] Why Build an AI Company in San Francisco A look inside the AI epicenter and why being close to innovation matters when building at the frontier of technology. [08:00] AI Is Everywhere and It Is Moving Fast A lighthearted but insightful take on how AI has gone mainstream, even becoming part of everyday conversations. [10:00] AI as Coworker or Something More A discussion on how AI is evolving from a productivity tool into something closer to a digital operator that can execute tasks independently. [11:00] The Pressure of the AI Moment Why companies, employees, and founders are all feeling the urgency to adapt as AI reshapes industries in real time. [13:00] Outsourcing Thinking vs Understanding A powerful insight: while AI can do the thinking, humans must still provide judgment and understanding. [14:30] What FurtherAI Actually Does How the platform deploys AI agents to automate underwriting intake, claims workflows, and other high volume insurance processes. [16:30] Founder Origin Story Aman's journey from Microsoft to building and exiting an AI recruiting startup, and why he chose to start again. [19:00] The Pivot That Changed Everything How an early idea was labeled a "tar pit" and forced a major pivot that ultimately led to insurance. [21:00] Why Insurance Became the Focus Breaking down why insurance rose to the top as the ideal industry for AI transformation. [22:00] Learning Insurance from Scratch The now famous story of driving around with donuts to meet brokers and understand the industry firsthand. [25:00] Why AI Fits Insurance So Well How unstructured data, manual workflows, and operational complexity make insurance a prime candidate for AI. [26:30] Automating the Entire Lifecycle Why FurtherAI is focused on connecting workflows across underwriting, claims, and servicing, not just solving one piece. [29:00] Building for the Long Term Aman shares his goal of building a company that goes public and the decisions required to get there. [30:00] The Rise of Vertical AI Why success in AI depends on deep domain expertise and solving real industry specific problems. [32:00] Navigating Rapid Change How founders operate in an environment where the technology is evolving faster than ever before. [36:00] Scaling in a Risk Averse Industry How FurtherAI wins customers by reducing risk with free proofs of concept and flexible engagement models. [37:30] Learning the Language of Insurance Why humility and curiosity are critical when building in a complex, relationship driven industry. [41:00] Backing from Andreessen Horowitz The story behind securing one of the top venture firms and what it means for credibility and growth. [44:00] Final Thoughts: The Race Is On Aman reflects on building during a transformative moment in technology and what it takes to succeed.

Join Angel Horvat, Founder and CEO of AI Readi, for a candid evaluation of why the corporate rush into generative AI is grinding to an unexpected halt. Despite massive infrastructure investments, the enterprise journey is hitting a hard wall: while 88% of organizations have initiated AI pilots, a staggering 94% remain permanently trapped in pilot purgatory. Drawing on his years leading AI and data strategy at Nike (EMEA) and Gartner, Angel reveals that these failures are almost never a failure of the tech—they are structural failures of the organization itself. In this episode, we discover how to bridge the gap between initial demo and scaled business value.

Send us Fan MailTBeyond the Hype: Building a Human-AI Hybrid Model for Modern FleetsWhen we talk about managing risk and controlling costs in trucking and logistics, we usually focus on what's right in front of us: drivers, trucks, and insurance premiums. But the operational landscape is shifting rapidly. Artificial Intelligence and digital transformations are no longer future buzzwords—they are actively reshaping procurement and supply chains today.  In this episode, host Chris Harris (The Safety Dawg) and co-host John Farquhar, sit down with global experts Kenneth Sievers and Laurent Coulon from EFESO Management Consultants. They break down exactly how fleets can cut through the AI hype, navigate organizational readiness, and find measurable value without losing the crucial human element.  Whether you manage a mid-sized fleet or a large logistics organization, this conversation delivers a practical blueprint for the future.  Learn more about EFESO Management Consultants:

In part 2 of this engaging two-part series, host Dustin Owen sits down with Trent Hedge, the founder and CEO of Pylon Lending, for an in-depth discussion about the innovative ways his company is transforming the mortgage industry for Episode 631 of The Loan Officer Podcast. Since establishing Pylon in 2022, Hedge has successfully raised nearly $45 million in venture capital funding, which has enabled him and his team to focus on building a robust technology infrastructure designed to streamline every aspect of mortgage lending from the initial origination of loans all the way through to their delivery on the secondary market.  Throughout the conversation, Hedge explains how Pylon's platform is able to eliminate many of the inefficiencies and bottlenecks that have long plagued traditional mortgage processing, resulting in a smoother, faster, and more transparent experience for all parties involved. He also shares insights into how Pylon is able to deliver substantial pricing improvements for its customers, often in the range of 100 to 200 basis points, making home financing more affordable and accessible.  Additionally, the discussion highlights how Pylon empowers loan officers by equipping them with advanced tools and resources that allow them to significantly scale their businesses without the need to hire additional staff, ultimately driving greater productivity and growth. This episode offers a comprehensive look at the future of mortgage lending and the pivotal role that technology and innovation will play in shaping the industry. TLOP's Originator Coaching:

Today's clip is from episode 158 featuring Stefan Radev. In this conversation, Alex and Stefan explore a genuinely fascinating problem: how do you turn an expert's intuition into a mathematically valid prior distribution - and can AI help automate that process?Alex explains that prior elicitation is essentially a translation problem. Experts don't walk around thinking in probability distributions - their knowledge lives in intuitions, rules of thumb, and rough ranges. The challenge is converting that into something a Bayesian model can actually use.The traditional approach? Ask an expert for quantiles or a mean, then parameterize your prior with hyperparameters and simulate until the model-implied quantities match what the expert described. If your pipeline is differentiable end-to-end, you use gradient descent. If not, you fall back to something like Bayesian optimization. Either way, you're iterating toward a prior that genuinely reflects expert knowledge - not just a convenient assumption.But the really exciting part is what came next. In a follow-up paper, they pushed this further: instead of optimizing within a fixed parametric family (say, a Gaussian), they replaced the prior entirely with a normalizing flow - a flexible generative network - and ran the same procedure. No assumed distribution family. Just let the data and the expert's knowledge shape the prior from scratch.The catch? More flexibility means more non-identifiability and stability headaches. But the direction is clear: a fully automated, end-to-end pipeline for building priors from non-probabilistic expert knowledge. And in 2026, that pipeline could theoretically be driven by an agent.Get the full discussion hereSupport & Resources→ Support the show on Patreon→ Bayesian Modeling Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work

How to Write a Week of Client-Getting Content in 30 Minutes Using AIUsing AI tools like Claude or ChatGPT but still not creating content that attracts, connects, and converts? In this episode, Beverley breaks down how to make AI sound like you, by training it on your own IP, so you can produce a full week of client-getting content in about 30 minutes. She walks through the five levels of AI output, the doctrines and skills that separate real content from AI slop, and the exact prompt to generate a week of attract-nurture-invite content.What You'll Discover:• Why most coaches' AI content sounds generic, and the real reason it's not the prompt• How to tell your brain, the AI's brain, and true co-creation apart• The five levels of AI output, from raw search-bar prompts to full automation• What "doctrines" and "skills" (SOPs) are and how to build them• How to assemble a second brain from your transcripts, frameworks, and lessons• The four numbers every coach should track: cost per lead, earnings per lead, ROAS, and cost per acquisition• The exact prompt for seven days of conversion contentTimestamps00:00 — Are you using AI but still not converting?00:29 — Who is Beverley Simpson01:19 — Why most people prompt AI like a search bar01:50 — What AI slop actually looks like04:46 — Beyond prompting: training your AI model (why Claude)06:18 — Your brain vs. the AI's brain vs. co-creation08:22 — The truth about AI "memory"09:19 — The 5 levels of AI output12:48 — Level 3: building doctrines13:50 — Level 4: skills and SOPs14:41 — Building your second brain22:48 — Level 5: automation23:14 — Automating the daily sales ritual24:16 — The numbers that matter25:25 — Step-by-step: train your AI brain26:26 — The doctrines you'll need28:26 — The conversion framework29:39 — The prompt for 7 days of content30:28 — Connect with Beverley + free toolsResources Mentioned• Claude (Anthropic)• ChatGPT / Perplexity / Gemini• Fathom, Zoom, Google Drive, Slack (knowledge sources)• The Conversion Club (Beverley's program)• Follow Beverley on Instagram: @bsimpsonfitnessReady to go deeper? Join the PT Profit Accelerator and learn to build this for yourself at ptprofitformula.com.Resources & Links MentionedWant more client leads on Instagram™?  Grab lifetime access to 90- Days Done for You that Converts: https://ptprofitformula.com/content

In episode 120 of Venture Everywhere, Anna Barber, a General Partner at Everywhere Ventures, talks with Maria Azofra, co-founder and CEO of Sharpei — an AI-native operating system for embedded equipment financing that helps lenders automate and accelerate the loan origination process. Maria shares how building Yakk, a B2B equipment rental marketplace in Spain, exposed a frustrating industry-wide bottleneck: lenders taking 20 to 30 days to approve transactions, losing deals before they could ever close. Sharpei's vision is to become the origination infrastructure for every lender in the US — modernizing a $1.3 trillion industry that still runs on emails, PDFs, and phone calls.In this episode, you will hear:Iterating through multiple business models to find true market pull.Targeting pre-qualification as lending's most overlooked bottleneck.Automating credit file creation from days to hours with AI.Using lenders as the distribution channel to reach merchants at scale.Building leasing infrastructure that captures residual asset value.Learn more about Maria Azofra | SharpeiLinkedIn: https://www.linkedin.com/in/mariaazofra/enWebsite: https://www.gosharpei.com/Learn more about Anna Barber | Everywhere VCLinkedin: https://www.linkedin.com/in/annawbarberWebsite: https://everywhere.vc/

After a long absence, I'm back with a packed episode. I reflect on why I've been away and what's changed—both in my life and in how I think about entrepreneurship. I challenge the unicorn fairy tales we've been sold as founders, the idea that we need to change the world or go big or go home, and share why I now believe the real game is about distribution and conversion metrics. I talk about how we've shifted our mindset from being a single-product company to building a cluster of products under our umbrella company, User Quest, all powered by SEO as our core distribution channel. I dive deep into how we've transformed into an AI-first company, automating everything from product development to weekly performance analysis to inbox management with our own internal AI agent, Svetlana. And finally, I share the one small but powerful change we made to Podsqueeze's trial flow that actually reversed our growth and has us trending upward again for the first time in years.Links and mentions:Twitter: https://x.com/wbetiagoLinkedIn: https://www.linkedin.com/in/tiago-ferreira-48562095/Podsqueeze: https://podsqueeze.comFlarecut: https://flarecut.comHalston from Tiny Acquisitions: https://x.com/haltounyTimestamps:00:00 Welcome back & what happened01:10 Why I stopped sharing (and why I'm back)02:58 Debunking the unicorn myth08:41 What actually makes a product work: distribution and conversions09:58 Myth two: you don't have to go all in on one thing11:18 Building a cluster of companies under User Quest13:43 Turning into an AI-first company16:16 The three phases of a product launch20:58 How we use AI to build products faster22:01 Automating weekly performance analysis with AI24:27 Meet Svetlana, our internal AI agent25:36 The one thing that changed Podsqueeze's growth27:58 The lesson: remove friction from your user flow29:04 Closing thoughts & how to reach me

Ada & Zangemann - Ein Märchen über Software, Skateboards und Himbeereis.Wie erklärst du Kindern, warum Softwarefreiheit wichtig ist, ohne in einen Vortrag über Lizenzen, Monopole oder Big Tech abzurutschen? Genau aus dieser Frage ist Ada und Zangemann entstanden. Ein Kinderbuch, das auf den ersten Blick wie eine schöne Geschichte über Tüfteln, Skateboards und Himbeereis wirkt, auf den zweiten Blick aber Themen wie Open Source, digitale Selbstbestimmung, Tech-Bildung und gesellschaftliche Verantwortung verhandelt.In dieser Episode sprechen wir mit Matthias Kirschner, Präsident der Free Software Foundation Europe und Autor von Ada und Zangemann. Wir tauchen tief in die Entstehungsgeschichte des Buches ein, sprechen über die Rolle von Creative Commons und Open Educational Resources, über die technische Übersetzungspipeline mit Git und Weblate, über Community-Beiträge aus der Open-Source-Welt und darüber, wie aus einem Kinderbuch ein Film, Braille-Versionen, Lesungen, Schulprojekte und internationale Bildungsinitiativen wurden. Außerdem geht es um Feedback von Kindern, kritische Reaktionen, Diversität in Illustrationen und die Frage, wie wir junge Menschen für Technik, Programmieren und freies Wissen begeistern können.Wenn du dich für Open Source, Tech Community, Softwarefreiheit, digitale Bildung, Networking in der Community und den Impact von Technologie auf Gesellschaft und Kultur interessierst, ist diese Folge Pflichtprogramm. Und ja, danach hast du ziemlich sicher Lust auf Eis und vielleicht auch darauf, selbst mal ein Buch vorzulesen.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

What if the reason you're losing business has nothing to do with your service and everything to do with being forgotten? This week we're taking a break from InSights and Take the Stage to bring you a replay of Lunch with Haley, hosted by Brad Smith (Chief Strategy Officer, Haley Marketing). Brad reveals why the staffing firms that consistently win aren't necessarily the best firms. They're simply the ones that stay visible long enough to be there when opportunity strikes. About the Guest Brad Smith is the Chief Strategy Officer at Haley Marketing and a Certified Inbound Marketing professional who has helped hundreds of staffing and recruiting firms implement effective digital marketing strategies. He specializes in translating emerging marketing trends and technologies into practical growth strategies for staffing organizations. Key Takeaways Consistency creates opportunities that luck cannot. The firms that stay visible win more business. Education builds trust faster than selling. Nurturing outperforms persistence alone. Relationships grow when value comes before the ask. Timestamps [00:44] – Why staffing is a timing business [03:31] – The costly “I didn't know you did that” [06:42] – The math behind winning new accounts [08:44] – Why sales teams need marketing air cover [11:06] – Building trust through systematic nurturing [13:32] – Why education beats hard selling [15:21] – The powerful 3x3 relationship matrix [19:23] – The multiplier effect of multi-channel marketing [22:14] – Branded publications that drive conversations [26:55] – Why print mail stands out again [31:41] – Automating touches without losing personalization [42:20] – Using Challenger insights to create demand Sponsors InSights is presented by Haley Marketing. For a limited time, we're offer 50% off of a brand new staffing website. Just message Brad Bialy on LinkedIn and mention the Crazy Website Promo.

In episode 630 of the Loan Officer Podcast, host Dustin Owen embarks on a special journey to Palo Alto, California, marking the show's first-ever in-person interview. Dustin sits down with Trent Hedge, the dynamic founder and CEO of Pylon Lending, for an engaging and insightful conversation. Trent opens up about his remarkable entrepreneurial journey, beginning with his early days running a landscaping business as a teenager in Columbus, Ohio. He discusses how his passion for technology led him to teach himself coding, a skill that would prove invaluable as he made the bold decision to relocate to Silicon Valley at just 18 years old. Trent goes on to share the inspiration and challenges behind founding Pylon Lending, a company at the forefront of developing AI-driven, fully automated mortgage origination technology. The discussion delves into how Pylon's innovative platform is designed to dramatically reduce operational costs and streamline the mortgage process, with the ambitious goal of disrupting the traditional lending industry. Dustin and Trent explore the broader implications of automation and artificial intelligence in financial services, and what this means for both lenders and borrowers in the years ahead. Listeners can look forward to part two of this compelling interview, where Dustin and Trent will take an even deeper dive into Pylon's growing impact on the mortgage industry, the future of lending technology, and what's next for both Trent and his groundbreaking company. TLOP's Originator Coaching:

In this Marketing Over Coffee: CEO and Co-Founder of Trust Insights talks with us about AI Tactics, Site Management, Unlocking CRM Data, and more!! Direct Link to File Claude Desktop changed everything Using Cowork to unlock data in other platforms Automating website updates 9:25 – 10:53 Incubeta: the “old way” of marketing – with creative, […] The post Katie Robbert on Putting Claude Cowork to Work appeared first on Marketing Over Coffee Marketing Podcast.

Josh built Green Construction & Roofing from $0 to $550K in his first year — and he's on track for $1.5M. So why can't anyone find him on Google?In this live business breakdown, we pull up his market in Biloxi, MS and discover the brutal truth: he's spending $10,000/week on ads and is NOWHERE to be found. The problem isn't his budget. It's his name, his niche, and who he hired to run it.We break down:0:00 The keyword mistake costing him customers1:19 Meet Josh — $550K year one, on track for $1.5M04:30 Why "Construction AND Roofing" is killing his Google ranking06:00 The rebrand + mascot strategy the big players use08:15 Live Google audit — he's invisible (watch it happen)12:30 Generalist vs. specialist: who you should ACTUALLY hire15:55 The Facebook video strategy 99% of contractors get wrong17:40 Automating the customer journey (booking, color selection, follow-up)24:40 The 3 moves to make THIS weekIf you're a roofer or contractor trying to scale past the chaos, this one's for you.Coaching Session Signup: https://calendly.com/dripjobs/breakthroughPurchase the 31 Days of Value and build an EMPIRE: https://www.amazon.com/31-Days-Value-home-service-businesses/dp/B0FQSH32X7Spotify: https://open.spotify.com/show/2v0D0SNSBofqJJE6zApEE1DripJobs Demo: https://calendly.com/dripjobsteam/dripjobsdemoGusto: https://gusto.com/i/tanner269OpenPhone: https://openph.one/referral/8Kc17aqFacebook Group: https://www.facebook.com/groups/173750747824373/?ref=shareFollow me on Instagram: http://Instagram.com/officialtannermullen#roofing #roofingbusiness #contractormarketing #localseo #roofingcontractor #homeservices #businessgrowth

Companies are making the exact same mistake with AI that they made with cloud. FICO's CIO Mike Trkay breaks down why 95% of companies are failing at AI alignment, why "automating a bad process faster" is the #1 trap, and why regulated industries are already abandoning LLMs in favor of focused language models.   Key takeaways: • Only 5% of AI pilots make it to production — and MIT's research backs it up • The lift-and-shift parallel: cloud costs went up for the same reason AI ROI is missing • Why the LLM-to-focused-language-model shift mirrors cloud-native vs lift-and-shift • What "AI native" actually means (and why chatbots aren't it)   Chapters 00:00 The 5% Alignment Problem 01:09 Only 7% Even Measure If Their AI Works 02:15 "You're Just Doing a Bad Process Faster" 06:29 LLM Repatriation and the Rise of Focused Language Models -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this solo episode, Jonah Babins reports back from the annual Mastermind Summit. Every year, Jonah takes the mastermind group to an epic, tropical destination to map out business growth, and this year they returned to a beautiful resort in Mexico. While the room tackled classic pillars like contracts, public shows, SEO, and cold email, one massive topic dominated the entire trip: Artificial Intelligence. Jonah issues a direct warning to performers: it is 2026, and running a business without looking at AI is simply irresponsible. This isn’t about shoving technology down anyone’s throat; it’s about recognizing a unique window of opportunity to out-innovate your competition before your booking systems feel completely ancient. What You'll Learn in This Episode The Rising Floor: Why “okay” websites and generic marketing won’t cut it anymore as new competitors launch with highly optimized, AI-driven setups. Lead Generation in Flux: How the foundational engines of magic bookings—including SEO, Google Ads, and cold email—are shifting under our feet. Automating the Stuff You Hate: Turning over tedious tasks like inbox management, contract writing, web scraping, and chasing payments to AI so you can focus on performing. The Speed of Creativity: Why business no longer moves at the speed of pure effort and hours, but rather at the speed of creative system design. The Mastermind Evolution: Why the Discourse in Magic Mastermind has officially transition into an AI-driven innovation company. Key Pillars of the Discussion Shifting From Effort to Creativity Once upon a time, the magic business favored whoever could put in the most raw hours—sending the most emails or writing the most blog posts. Today, the tools are equalized, meaning the most creative system wins. Jonah contrasts a basic user who merely transcribes a sales call with a creative producer who uses AI to instantly sync with a CRM, generate automated follow-up sequences, pull dynamic client testimonials, and build custom pitch decks instantly. Just like a deck of cards, the tool remains the same, but the output depends entirely on the creativity of the performer. Erasing the Admin Work The most easily replaced tasks are the repetitive admin jobs that most magicians procrastinate on anyway. AI excels at calendar management, draft sorting, data scraping, and contract refinement. By automating these friction points, you preserve your energy for the parts of the business that require true human relationship-building: the magic, the client interactions, and the live performances. Mentions & Links The Discourse in Magic Mastermind: The premier community helping magicians scale their businesses through modern tech and strategic innovation. Jonah’s Daily Companion: Claude—the specific AI platform Jonah and lead coach Kelvin use for 3 to 5 hours every single day to test new workflows. Don’t wait until it gets easier. Jonah’s ultimate challenge to the community is to spend at least one hour a week (ideally an hour a day) playing with these tools. The magicians who jump in now are the ones who will capture the market while everyone else waits on the sidelines.

In this episode of Brave New Bookshelf, hosts Steph Pajonas and Danica Favorite are joined by Skye MacKinnon, a prolific author and expert in international translations. Skye shares her fascinating journey of using AI to reclaim her time, from building custom WordPress plugins with Antigravity to managing complex series bibles with NotebookLM. As a native German speaker, she provides invaluable insights into the nuances of AI translation, the importance of cultural awareness in global markets, and how to automate the "admin sludge" of a writing career. Whether you are looking to scale your business across multiple pen names or dive into the lucrative German market, Skye's practical approach to AI automation offers a roadmap for long-term success. Visit our website https://bravenewbookshelf.com to view the full episode notes, links and apps mentioned in the episode, and the full transcript.

In the final episode of the 2026 Boot Camp series, Paul Merriman sits down with Chris Pedersen and Daryl Bahls to tackle the last fork in the road every investor faces: how to and how much automation to use. After all the boot camp decisions — stocks versus bonds, which equity asset classes, how much fixed income, how to handle contributions and withdrawals — the final question is how much of the day-to-day management you should hand off to a tool, and which tool is right for you.Chris walks through how M1 Finance “pies” let buy-and-hold investors put their portfolios on autopilot: automated contributions, on-the-fly rebalancing as new money comes in, fractional shares, and one-button rebalancing. He explains the pre-configured Merriman portfolios — the Ultimate Buy and Hold, Worldwide and US Four-Fund, All Value, All Small Cap Value, and the Aggressive Target Date glide path in five-year increments — and an important limitation: once you grab a pie, there’s no live link back to the source, so website updates won’t change your account.Paul then makes the case for Fidelity’s Basket Portfolios as an alternative, especially for anyone uneasy about moving large sums to a younger company. He covers the flat $4.99-per-month fee regardless of account size, eligible account types, the TFLO short-term Treasury workaround for holding cash, and why Fidelity may fit investors already in the Fidelity ecosystem. The team compares trading windows, account minimums and how each firm counts the $10,000 threshold, and Daryl shares that M1 has grown from about $1 billion in 2020 to roughly $12.5 billion in assets under management.The conversation closes with practical guidance on mixing and matching Sound Investing portfolios, the question everyone’s asking — “how long do I have to wait for small cap value?” — a reminder not to flail or chase recent performance, why the 10-fund Ultimate Buy and Hold strategy still stands, and a clear explanation of the move from AVUS to AVLC and where AVSC fits.CHAPTERS00:00 - Intro03:10 - M1 Finance13:45 - Fidelity Baskets24:27 - Portfolio Combos29:55 - When to Change Allocations42:44 - AVLC vs. AVUS45:15 - OutroLINKS:Sound Investing Portfolio PiesM1 Finance Pie Tutorial (Mobile App)M1 Finance Pie Tutorial (Web Interface)

We can't keep turning a blind eye to e-commerce skimming. It's a real threat that demands real attention—regardless of how compliance checklists evolve. Eighteen months ago, our panel met to break down the rollout of PCI DSS requirements 6.4.3 and 11.6.1. Now, one year after PCI v4.0, we're looking at the data-backed reality of how these requirements are actually playing out in the field.With the recent industry transitions to PCI DSS v4.0.1, clarifications surrounding the boundaries between parent web pages and third-party iframes have created a dangerous side effect: "Checkbox Blindness." Many organizations are misinterpreting these adjustments to mean that script monitoring is effectively optional if a payment iframe is in place. But treating client-side security as a text-only compliance loophole ignores a harsh forensic reality—attackers don't care about scoping boundaries.In this follow-up episode, host Jen Stone sits down with a full house of SecurityMetrics experts—Gary Glover (VP of Assessment), Chad Horton (VP of Technology), and Aaron Willis (VP of Forensic Investigation)—to cut through the regulatory noise. Backed by data from over six years of payment page monitoring, they translate the latest auditor fine print into practical guidance on why your parent page remains a prime target, and how to protect it without drowning your team in alert fatigue.Key Takeaways From This Episode:The v4.0.1 Scoping Misconception: Why thinking an embedded iframe completely offloads your client-side security obligations is a critical business risk.Bypassing the Safe: How attackers manipulate the parent page environment to intercept credit card data before it ever reaches a secure iframe or redirect link.The Reality of "Checkbox Compliance": Why tracking down fourth- and fifth-party scripts matters to your baseline security, even if your SAQ criteria makes it look elective.Inside a "Zero-Malware" Exploit: A forensic breakdown of how threat actors turn legitimate, approved analytics scripts against online checkout flows.Managing the Responsibility Matrix: How to handle iframe providers who are quietly altering their security liability terms in their public documentation.Resources & Links Mentioned:Stop Checkbox Blindness: Automate your script inventory with SecurityMetrics Shopping Cart Monitor Get a Forensic MRI of Your Checkout: Schedule a deep-dive review with SecurityMetrics Shopping Cart Inspect Read the Research: Download the QSA White Paper on E-Commerce Skimmer Attacks Connect With Our Team:SecurityMetrics Website: securitymetrics.comFollow Us on LinkedIn: linkedin.com/company/securitymetricsA note from Jen: We built Practical Cybersecurity because we were tired of the fear-mongering in this industry. Security shouldn't be a secret club.If you're trying to figure out PCI compliance or need a pen test, my team at SecurityMetrics can help you out: https://www.securitymetrics.com/contact/lets-get-you-to-the-right-place But if you just want to learn how to protect yourself for free, start here:  https://academy.securitymetrics.com/ 

Scott sits down with Avi Freedman, CEO and co-founder of Kentik, to discuss if AI has advanced enough to automate human-centric NetOps. Together they caution against vendor hype regarding closed-loop network automation despite the progress AI has made. Avi also shares his personal experiences in the industry and the hard won lessons he learned along... Read more »

Scott sits down with Avi Freedman, CEO and co-founder of Kentik, to discuss if AI has advanced enough to automate human-centric NetOps. Together they caution against vendor hype regarding closed-loop network automation despite the progress AI has made. Avi also shares his personal experiences in the industry and the hard won lessons he learned along... Read more »

Want better AI results? The answer isn't to prompt better. (At least, not anymore.) As AI has changed drastically, so too must your company's strategy and implementation plan. Section's Bobby Isaacson joins Everyday AI to lay out the roadmap: helping guide organizations from running like hamsters on the AI treadmill to actually redefining workflows toward agentic automation. How Smart Teams Stopped Prompting AI and Started Automating Workflows -- An Everyday AI chat with Jordan Wilson and Section's Bobby IsaacsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:AI Success Metrics in Modern OrganizationsShift from Prompting to Workflow AutomationAdopting Autonomous Agents in EnterprisesImportance of Context Engineering with AITop-Down Leadership for AI TransformationBuilding AI Manifestos vs. AI PoliciesTraining Challenges: Chatbots to Agents EraClosing Skill Gaps: Elite vs. General AI UsersOvercoming Change Management in AI AdoptionFostering Curiosity and Experimentation in AI TeamsTimestamps:00:00 Defining AI success metrics05:19 The shift to context engineering08:16 Leadership setting AI adoption example11:58 CEO commitment to AI integration14:17 Setting clear AI goals19:06 Discussing automation and its challenges20:48 Enterprise AI usage challenges26:00 Leveraging AI for learning27:45 Closing and contact informationKeywords: AI workflow automation, autonomous agents, automating workflows, AI agents, enterprise AI transformation, custom GPTs, prompting AI, context engineering, AI proficiency, AI training, leadership in AI adoption, change management, AI strategy, employee enablement, AI integration, top-down AI approach, organization-wide AI, business process automation, AI-powered briefs, sales automation with AI, agent-based automation, workflow optimization, context sharing, repeatable AI workflows, AI change management strategy, AI use cases, AI in finance, ROI calculator with AI, personalized AI training, skill gap in AI, scaling AI solutions, technology adoption, digital transformation, AI challenges in enterprises, curiosity-driven learning, creative freedom in AI, AI enablement, AI policy vs manifesto, fostering innovation with AI, learning and development AI, AI champions, process innovationSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

In this insightful episode of In The Lab, Ruben sits down with Wendy Wei from Relay Financial to unpack one of the most overlooked skills in entrepreneurship and real estate investing: understanding your cash flow. What starts as a conversation around money management quickly turns into a deeper discussion on psychology, conditioning, identity, habits, and the systems that shape how entrepreneurs operate their businesses and lives.Wendy shares her journey from growing up in a traditional immigrant household to building a career across psychology, marketing, SaaS, storytelling, and fintech. With a background in psychology from Harvard University and experience spanning photography, creator partnerships, and performance marketing, Wendy explains how curiosity, experimentation, and human behavior became the foundation for the work she does today helping business owners better understand and organize their finances.The episode dives deep into the Profit First framework and how entrepreneurs can stop operating with one giant “bucket” of money and instead build systems that create visibility, automation, accountability, and profitability. Ruben also breaks down exactly how Invested Escapes uses Relay internally across multiple properties, vendors, virtual cards, owner payouts, and operational systems to move faster and stay organized while scaling nationwide.Relay is a digital banking and money management platform that helps real estate investors get clear visibility into what they're earning, spending and saving—so they can better understand the cash flow in their business.Throughout the conversation, Wendy also shares powerful insights around neuroplasticity, conditioning, growth mindset, rewiring limiting beliefs, and how small consistent habits can completely change the trajectory of your life and business over time. This episode blends entrepreneurship, psychology, systems, and financial organization into one conversation designed to help operators think differently about both money and growth.Tune in now to learn how to stop leaking money, organize your business like a true operator, and build systems that help you pay yourself first while scaling with clarity.Sign Up For Relay through My Referral Link: https://join.relayfi.com/partner/?referralcode=temporaryhousingmeetup&utm_source=events&utm_medium=…HIGHLIGHTS:42:21 - Wendy talks about rewiring your brain through growth mindset. 55:50 - Wendy talks about automating cash flow for entrepreneurs. Keeping it Real:01:00 – Building micro communities03:20 – Understanding cash flow06:10 – Graduation season pressure11:30 – Travel shapes perspective15:20 – Psychology meets marketing16:30 – Curiosity drives growth20:10 – Small actions compound31:00 – Understanding conditioning34:30 – Coaching changed everything36:00 – Rewiring self-talk42:20 – Neuroplasticity explained46:10 – Identity shapes habits51:20 – Profit First explained54:40 – Automating cash flow58:20 – Relay inside operations1:03:00 – Virtual card controls1:07:00 – Banking misconceptions1:10:00 – Most-used Relay features1:15:00 – Building real community1:17:00 – People over logos #RealEstateInvesting #ProfitFirst #CashFlowManagement #EntrepreneurMindset #RelayFinancial #BusinessSystems #FinancialFreedom #MoneyManagement #RealEstateBusiness #Entrepreneurship CONNECT WITH THE GUESTLinkedin: https://www.linkedin.com/company/bankwithrelay/https://www.linkedin.com/in/wendyhwei/

Today I want to walk through how to automate the customer support side of a small business using three tools. Claude, Make, and Gmail. By the end of this you'll know how to set things up so incoming emails get triaged by urgency automatically, the common questions get personalized replies drafted for you, and anything that actually needs a human gets flagged so you don't miss it.Get help here >> ⁠https://wilwaldon.com ⁠Join our business automation community >> ⁠https://www.skool.com/ai-and-automation-3750⁠

Every wish on your AI wish list?

Scott is with Brett Bohannon to talk about the fast-moving shift from basic AI chat tools to agent-driven Amazon workflows. They discuss Claude, OpenClaw, MCP servers, APIs, and how sellers can connect private catalog data, public marketplace data, and advertising insights into one AI-powered operating system. Brett shares how he uses AI agents to reduce repetitive Amazon tasks, audit catalogs, connect tools like Keepa and Data Dive, and build workflow automations for ads, inventory, and listing optimization. They also shed light on what this means for Amazon software, why unique data still matters, and how sellers can start using AI to solve specific operational problems instead of chasing every new tool.   Episode Notes: 00:09 - Intro to Brett Bohannon, Claude, and AI agents 01:40 - From custom GPTs to faster AI workflows 02:37 - Why recent AI progress feels different 02:55 - OpenClaw, AI agents, and business context 06:28 - Data Dive adapter for Claude and API data 07:18 - Three AI user levels: LLM users, builders, and MCP users 08:13 - How MCPs connect Claude with hosted or local data 09:49 - Combining Amazon tools under one AI workflow 12:33 - Using catalog data, Keepa, and niche analysis together 14:05 - Automating daily Amazon workflows 16:18 - Skill Create, GitHub, and open-source Amazon tools 17:45 - Replacing software with custom AI tools 19:31 - Maintenance tradeoffs with DIY AI workflows 20:08 - What stays valuable in Amazon software 22:57 - Talking to Amazon data inside Claude or ChatGPT 25:16 - Combining profitability, ads, and marketplace data 27:22 - Using agents to scale as a solo consultant 29:08 - Brett's Amazon background and catalog expertise 30:34 - Catalog audits using category listing reports 31:17 - Rufus scoring and listing data quality 33:38 - Helm and layered MCP workflows 34:25 - AI agents and the future of Amazon software   Related Post: How to Sell on TikTok Shop 2026 (Guide For Beginners)   LinkedIn: https://www.linkedin.com/in/brett-bohannon-1992329/ Website: https://voartex.com/   Scott's Links LinkedIn: linkedin.com/in/scott-needham-a8b39813 X: @itsScottNeedham Instagram: @smartestseller YouTube: www.youtube.com/@smartestamazonseller2371 Newsletter: https://www.smartscout.com/newsletter-sign-up Blog: https://www.smartscout.com/blog

Leveraging AI for Business Efficiency and Workflow AutomationExplore how AI is revolutionising operational workflows, replatforming and client collaboration in ecommerce.This episode delves into practical applications, strategic insights and real-world examples from industry experts on integrating AI into business processes to enhance productivity, quality and value.We discuss how even imperfect AI models can vastly increase operational efficiency through automation and scaling, but explain why human experts are needed to provide sensible guardrails and oversight.Here's what you'll get from this episode:The evolution of AI in agency workflows and internal operations at leading agency Tom & Co.Practical uses of agentic versus transactional AI, including long-term memory solutions.Automating data cleansing, prototyping and content generation with AI tools like Claude and ChatGPT.Building smarter workflows with AI-driven decision-making and human-in-the-loop governance.How AI can reduce grunt work in ecommerce, freeing teams for higher-value tasks.Examples of AI supporting client needs, from statement of work creation to inquiries and service desk automation.Strategic shift from code writing to system architecture and oversight skills.This episode showcases how pragmatic AI integration can transform operational efficiency, empower teams and deliver measurable business outcomes. Whether you're an agency, vendor or ecommerce business, these insights could help you harness AI for your next growth phase.Key topics & timings:[00:45] - Guest introductions and background.[02:45] - AI's impact on ecommerce development.[05:30] - Trends in AI adoption within agencies and project workflows.[07:10] - How AI is changing / replacing developer roles.[11:00] - Replatforming made easier with AI: speed, risk reduction and quality.[13:40] - Claude Design's capabilities and benefits.[17:13] - Examples of AI facilitating project management, code analysis and client reporting.[19:20] - Simplifying prompt engineering and accessibility for non-technical teams.[20:50] - AI in documentation, cross-referencing and long-term memory strategies.[26:45]- AI-generated designs, presentations and brand-compliant assets.[30:50] - Internal use of AI at Tom & Co: workflow automation for efficiency.[35:05] - Workflow automation for client briefs, code insights and statement of work creation.[39:05 ]- Human-in-the-loop governance and risk mitigation strategies.[45:10] - Managing AI context limitations: long-term memory and retrieval strategies.[51:50] - The broader opportunity of AI for operational and marketing efficiencies.

Tim Hyde shows how leaders can reclaim hours every week by fixing the invisible gaps in their systems. In this conversation, we explore why automation is not about saving time, but about creating intimacy at scale, reducing friction in decision-making and designing smarter customer journeys that actually move people forward.   ⁠Experience our episodes in a whole new way. Watch every video version on our YouTube ⁠Channel. Subscribe now to be first to catch our next release. https://www.youtube.com/@manageselfleadotherspodcast?sub_confirmation=1   SOUNDBITES [1:43] Why automation and system design should come before sales, marketing and delivery if leaders want scalable results. [2:18] Seeing customer journeys like lines of code and how one broken step can stop the entire business from working. [3:58] Where leaders should look first to find automation opportunities in their own workflows. [4:33] Using frequency as a decision filter to identify tasks that are worth automating and those that are not. [5:38] How long-standing annoyances and repeated behaviours signal high-value automation opportunities. [6:22] Why customer impact matters more than time savings when designing automated systems. [6:59] Creating intimacy at scale by personalising automated messages without becoming transactional. [8:07] Leveraging underutilised assets such as books, podcasts and content to strengthen automated touchpoints. [9:10] Building simple systems first and then reusing them for strategic leverage across multiple scenarios. [10:05] Using automation as a delivery system rather than relying on a single channel like email. [12:41] Choosing the right communication tools to deepen relationships, not just broadcast messages. [13:08] Reusing automation frameworks for anniversaries, milestones and ongoing client touchpoints. [14:26] Owning the indecision period after proposals are sent and why most businesses lose momentum here. [16:39] Using automation and AI notes to personalise long-term follow-ups months or years later. [18:02] Why templates combined with meaningful data create powerful, human-sounding automation. [18:47] The trade-off between learning automation yourself versus working with an expert. [21:06] Asking “and then what?” to turn single actions into connected systems.   TIM HYDE https://winmoreclients.com.au/ https://www.linkedin.com/in/tim-hyde-crm/   ABOUT PODCAST HOST, NINA SUNDAY Nina Sunday's latest book, ‘'Manage Self, Lead Others: Constructive Conversations, True Self-Leadership, and Culture You Can't Fake'' now on Amazon - paperback or kindle. Amazon USA ⁠⁠⁠⁠https://a.co/d/3WaplI9⁠⁠⁠⁠ Amazon Australia ⁠⁠⁠⁠https://amzn.asia/d/0KwghaM⁠⁠⁠⁠ You can read any Kindle eBook on your PC, laptop or phone; you don't need a Kindle device.  === To learn more about face-to-face training programs with Nina Sunday or one of her experienced Facilitators from Brainpower Training Pty Ltd in Australia Pacific, visit: ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.brainpowertraining.com.au...⁠ === To visit Nina Sunday's speaker site for global in-person speaking bookings visit: ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.ninasunday.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠ === Connect with Nina Sunday on LinkedIn https://www.linkedin.com/in/ninasunday/ === To subscribe to Nina Sunday's blog go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.brainpowertraining.com.au/⁠ ⁠⁠⁠⁠⁠⁠⁠⁠ and scroll to bottom of the page to register. Learn more about your ad choices. Visit megaphone.fm/adchoices

#911 If you thought Part 1 was packed with value, Part 2 takes it even further! In this conclusion to our 2-part series, host Brien Gearin continues his conversation with Corey Ganim — host of the "Build with AI" podcast and owner of Return My Time — diving into the final three pillars of his AI Operating System: Finance, Operations, and Intelligence. Corey introduces the Weekly P&L One-Pager, a skill that gives business owners a real-time pulse on their finances instead of waiting 45 days for last month's numbers. He then walks through how to fully automate client onboarding — turning a 30-to-45-minute manual process into a seamless, error-free experience that runs itself. Finally, Corey shares a powerful Intelligence skill that generates a personalized one-page client brief before every call, helping you show up fully informed and deliver a world-class experience every time. He also breaks down his three levers of ROI — effectiveness, efficiency, and quality — so you can evaluate any AI tool or implementation with clarity. If you're ready to stop being reactive in your business and start letting AI do the heavy lifting, this episode is your blueprint! What we discuss with Corey: + The Weekly P&L One-Pager skill + Stop waiting 45 days for financials + Course-correct mid-month, not after + Automating client onboarding end-to-end + Saving 30-45 minutes per new client + AI-generated pre-call client briefs + The three levers of ROI + Setting permissions and guardrails for AI + Treat Claude like a new employee + Connecting AI to your financial tools safely Thank you, Corey! Check out Part 1 of this episode. Check out Return My Time at ⁠ReturnMyTime.com⁠. Listen to ⁠The Build With AI Podcast⁠. Work with Corey⁠. Watch the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠video podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ of this episode! To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

From the archive: This episode was originally recorded and published in 2022. Our interviews on Entrepreneurs On Fire are meant to be evergreen, and we do our best to confirm that all offers and URL's in these archive episodes are still relevant. Brandon Zobel is CEO and Founder of ProsperSpark, using 20 plus years' experience to provide Excel consulting and process automation, serving 200 plus clients and simplifying their workflows. Top 3 Value Bombs 1. When automating, focus on small processes as well as large ones. 2. Automation often frees employees from repetitive tasks so they can focus on high-impact work. 3. Use technology for tasks that don't require a human touch. Get a 10 percent discount up to 1,000 dollars on a ProsperSpark project if you mention the code "FIRE." Book your free call today to get started - ProsperSpark for Fire Nation Sponsors HighLevel - The ultimate all-in-one platform for entrepreneurs, marketers, coaches, and agencies. Learn more at HighLevelFire.com. 50 - Join JLD on his free '50 days to something' video series on YouTube and create something special in 50 days.

You set up your 401(k) contributions years ago. They go out of your paycheck automatically, before you even see the money. You've been doing this for years. And you've been telling yourself you're saving for retirement. You're not saving. You're investing. Automatically, often without much thought, into a market-linked account where the value can drop without you withdrawing a single dollar. https://www.youtube.com/live/ISSLntYMpig That distinction isn't just semantic. It explains why so many high-earning, responsible people feel like they're not making real financial traction even when they're doing everything they were told to do. I've worked with clients across this exact transition for years. And what Bruce Wehner and I talked through on the podcast this week gets to the root of it. Not which products to use. The order. Save automatically. Invest intentionally. Get that order right and everything changes. Key TakeawaysThe Difference Between Saving and Investing (And Why Most People Get It Wrong)What About Inflation?The Language ProblemWhy the Default Financial Playbook Works Against YouThe Automatic Investing TrapThe Syndication Cautionary TaleThe Savings VoidHow the Wealthy Reverse the SequenceThe Personal Economic ModelThe Client Who Saved His Way to RetirementLifestyle Creep: The Silent UnderminerWhy You Save Automatically, and What That Frees You to DoThe Counterintuitive LogicWhat Gets Freed UpWhy Interrupting the Compounding Curve Costs More Than You ThinkWhat Interruption Actually CostsWhat It Means to Invest Intentionally, and How to Know If You AreInvestor DNAReal Due Diligence in the Current EnvironmentSafety, Liquidity, and GrowthThe Savings Vehicle That Bridges Both StagesHow It Works in PracticeThe Death Benefit BackstopWhere Saving and Investing Fit in the Wealth Creator's Cash Flow SystemChange the Order, Change the OutcomeBook A Strategy CallFrequently Asked QuestionsWhat is the difference between saving and investing?Why is automatic 401(k) investing not the same as saving for retirement?How do I start saving automatically?What does intentional investing actually mean?How does whole life insurance fit into saving automatically?Why do wealthy people save before they invest? Key Takeaways Saving and investing are not the same thing. Saving has a dollar-value floor - your $100 stays $100. Investing doesn't - the value can drop without you touching a cent. Most people have been calling one thing the other. The order you do them in determines your financial outcome. The default playbook is: invest automatically first, spend second, save whatever's left. The wealthy do it in reverse: save automatically first, spend from what remains, invest intentionally from the surplus. Automatic 401(k) contributions are investing, not saving - and doing them without due diligence, in a market-linked account you don't control, is a bet most people don't realize they're making. Automating saving is a cognitive strategy, not a cop-out. It removes a high-stakes decision from your mental queue, so your best thinking goes toward evaluating actual investments, where discernment genuinely matters. Interrupting the compounding curve is more costly than it looks. The exponential gains happen late in the cycle. Most people never get there because they restart the clock repeatedly by spending, redirecting, or skipping months. Intentional investing means deploying capital into things you understand, with control, sized to what you actually have, not automatically following historical performance into deals you don't fully understand. The Difference Between Saving and Investing (And Why Most People Get It Wrong) Let's start with a precise definition, because the confusion between these two things is where most of the problem lives. Saving is placing money somewhere it cannot lose dollar value. If you put $100 into a savings vehicle, those $100 will be there when you come back. The amount won't become $60 or $80 because of market conditions. You haven't taken the money out. No one stole it. It's just there, in full, because you put it there. Investing is different. When you invest, you're placing capital somewhere it has the potential to grow, but also to lose value. Not because you withdrew anything. Because the asset itself dropped. You can wake up to an account statement showing your $100 is worth $50, and that's investing. What About Inflation? This is where people push back, and it's a fair point. Inflation erodes the purchasing power of savings over time. That's real. But what often gets missed is that inflation erodes investments too. The same monetary forces that reduce what your saved dollars can buy are working on your invested dollars simultaneously. And an investment loss on top of inflation doesn't solve the inflation problem. It doubles it. Losing hundreds of thousands of dollars in a badly-timed deal isn't an inflation hedge. It's your money going backward at speed. The distinction we're drawing is about the dollar-value floor. Savings has one. Investing doesn't. That's it. The Language Problem The reason this gets so muddled is that the phrase "saving for retirement" has become the universal shorthand for 401(k) contributions, which are, by this definition, investing. Money in market-linked funds can drop. It has dropped. For many people, it's dropped dramatically at exactly the wrong moment. Calling that saving doesn't make it safer. It just makes it harder to think clearly about what you're actually doing. Why the Default Financial Playbook Works Against You Here's how most working Americans handle their money, in order: First, a payroll deduction flows automatically into a 401(k) or similar vehicle before the money arrives in their account. Then spending happens. Then, if anything is left at the end of the month, it might get saved. Maybe. The sequence is: invest first, spend second, save whatever remains. The problem isn't the investing. It's what that order produces in practice. The Automatic Investing Trap That first move, the automatic 401(k) contribution, is made without active due diligence, without specific knowledge of the underlying assets, and without meaningful control over timing or allocation. For most people, the decision is: pick a fund from a list, or accept the target date fund default. That's it. Target date funds are a genuine improvement over doing nothing. They diversify automatically and grow more conservative as you approach retirement. Financial advisors help take emotion out of the process, which matters more than most people realize. These are real improvements. But they don't solve the core problem. You've still lost control of that capital. You face future tax liability. And if you need access to it before retirement, the options are limited, costly, or both. The Syndication Cautionary Tale Bruce has been in over 6,000 client meetings. And one thing he's seen play out repeatedly in recent years is what happens when the "must always be invested" mindset runs into a changing economic environment. A lot of people deployed capital into real estate syndications because the historical performance looked strong and the tax benefits were real. What they didn't fully evaluate was what happens when interest rates rise sharply, and when deals structured around balloon-payment loans need to be refinanced. Rates went up. Sponsors couldn't refinance. Distributions stopped. In many cases, that capital is effectively gone. Not because real estate is a bad investment category. Because people committed capital without evaluating the current monetary environment, and instead relied almost entirely on historical performance as their due diligence. The people who pushed that money in because they felt they couldn't afford to leave it sitting somewhere safe are the ones who lost. Their money didn't just fail to outrun inflation. It evaporated. The Savings Void Because saving is residual in the default sequence, it often doesn't happen at all. By the time spending is done, there's nothing left to put aside. And that's the trap. When a genuinely good investment opportunity appears, there's no capital ready to move on it. The people who can act are the ones who built up savings first - liquid, available, usable cash that's safe and in their control. The others watch the opportunity pass. How the Wealthy Reverse the Sequence The pattern Bruce sees consistently across his wealthiest clients is the opposite of the default. They save automatically first. They determine spending second. They invest intentionally from what remains. The order of priority is reversed, and everything that follows is different because of it. The Personal Economic Model Think of your money as moving through a system. Income arrives. Taxes come out. Then every dollar faces a decision. The first and most important decision isn't to save or invest. It's: how much of this am I going to spend? Spending less than 100% of what you earn is the prerequisite for everything else. It sounds basic, but it's the step most people skip conceptually, even when they think they're doing it.  The Richest Man in Babylon put it plainly: set thy purse to fattening.  A part of all that you earn is yours to keep. Mike Michalowicz made the same argument for businesses in Profit First. If you wait to see what's left after spending, there won't be anything left. There never is. Once you've decided what you're keeping, the next question is the order. Save first, spend from what remains, then invest intentionally from the surplus you've built. The Client Who Saved His Way to Retirement Bruce shared a story that most financial commentators would dismiss as a cautionary tale, but it's actually the opposite. One of his clients kept his 401(k) in a money market account for his entire c

OpenAI's Codex is the best AI system on the planet.

Eric Mayhew, Chief Innovation Officer and Co-Founder of Fluency, shares how his experience in automotive advertising inspired the creation of Fluency and its mission to eliminate repetitive AdOps work through automation. Eric dives into the difference between automation and AI, the future of agentic systems, and why human creativity still matters most in advertising. From scaling ad operations to building compliant AI workflows, this conversation explores where marketing technology is headed next. Takeaways • Automation should eliminate repetitive tasks so teams can focus on strategy and creativity. • AI and automation are complementary, but they are not the same thing. • Human oversight remains critical for compliance, governance, and brand safety. • AI is powerful, but context quality determines the reliability of outputs. • Personalization in advertising may finally become practical with AI and automation. • Agencies want customizable workflows, not one-size-fits-all automation. • Fluency focuses on deterministic workflows that execute advertiser strategies at scale. • Agentic systems will combine rule-based automation with probabilistic AI decision-making. Chapters 00:00 Introduction to Eric Mayhew and Fluency 01:20 How Dealer.com Inspired the Creation of Fluency 04:07 The Real Problem with Manual AdOps Workflows 05:45 Fluency's Approach to Automation and AdOps Efficiency 07:45 Why AdOps Professionals Should Embrace Automation 10:41 The Difference Between Automation and AI 15:21 AI Risks, Hallucinations, and Governance Challenges 19:21 Where Humans Still Outperform AI 22:54 How Fluency Onboards and Automates Campaign Workflows 27:02 The Future of Agentic AI and Advertising Personalization Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Ted Tekippe, CEO of ZimpleMoney, shares insights into how his platform simplifies loan management for private real estate lenders, discusses key features, and explores growth strategies in the fintech and real estate sectors.   Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

In this episode, we continue our conversation on The AI Assistant as part of The AI-Powered Professional series. Picking up

Season 7, Episode 2: How did Equinox evolve from a single gym in New York to a global luxury lifestyle and hotel brand? Today, we sit down with Jeff Weinhaus, Co-President and Chief Development Officer at Equinox, to break down the incredible real estate strategy behind the fitness empire. Jeff shares the inside story of how a stubborn lease negotiation won over billionaire Stephen Ross, why Equinox builds gyms inside historic bank vaults and sugar factories, and the exact "70/30 Rule" they use to decide which cities get a location next. We also dive into the future of wellness, the shift from cardio to heavy strength training, and what it takes to double a luxury portfolio without losing the brand's soul. Whether you're curious about the brand's pivot toward longevity and mental health or how they plan to double their portfolio without losing their edge, this episode is a must-listen for anyone in capital markets or real estate development. Join us as we dive deep into the disciplined growth and creative vision that transformed a local family business into a global luxury platform. Shoutout to our sponsor, Henry AI. The fast track to investor-ready decks that actually stand out. TOPICS 0:00 - Intro & Jeff Weinhaus's Background 6:07 - The Columbus Circle Deal & Winning Over Stephen Ross 10:06 - Expanding Beyond NYC & The First LA Location 13:07 - Navigating the Pandemic & Automating the Gym 15:33 - The Blue-Collar Origin Story of a Luxury Brand 18:54 - Building Gyms in Bank Vaults & Sugar Factories 21:37 - The 70/30 Rule of Real Estate & Location Scouting 31:19 - Equinox Hotels & The Science of Perfect Sleep 39:13 - The Art of the Deal: Negotiating with Landlords 43:08 - Sunbelt Migration & Targeting Second-Tier Cities 48:08 - Why Gen Z is Spending Their Money on Equinox 54:05 - New Fitness Trends: Cold Plunges & Padel 1:00:13 - International Expansion: London & The Middle East 1:04:37 - The Future: How Equinox Plans to Double in Size For more episodes of No Cap by CRE Daily visit https://www.credaily.com/podcast/ Watch this episode on YouTube: https://www.youtube.com/@NoCapCREDaily About No Cap Podcast Commercial real estate is a $20 trillion industry and a force that shapes America's economic fabric and culture. No Cap by CRE Daily is the commercial real estate podcast that gives you an unfiltered ”No Cap” look into the industry's biggest trends and the money game behind them. Each week co-hosts Jack Stone and Alex Gornik break down the latest headlines with some of the most influential and entertaining figures in commercial real estate. About CRE Daily  CRE Daily is a digital media company covering the business of commercial real estate. Our mission is to empower professionals with the knowledge they need to make smarter decisions and do more business. We do this through our flagship newsletter (CRE Daily) which is read by 65,000+ investors, developers, brokers, and business leaders across the country. Our smart brevity format combined with need-to-know trends has made us one of the fastest growing media brands in commercial real estate.

16/16: Gene Marks explains how small businesses are developing custom AI applications to improve productivity. He highlights tools like Claude for automating sales quotes and executive summaries. However, researchers warn that AI's tendency toward sycophancy and charm can sometimes mislead users in professional settings.1900 PUEBLO SNAKE DANCE

Everything got a bit more powerful this week.

Did you ACTUALLY MISS OpenAI's big Workspace Agents announcement?

In this sponsored episode, brought to you by Cisco, Keith sits down with Mark Rodrigue of Room & Board and Dan Davis of Cisco. They discuss Room & Board's network and how their three-person networking team manages over 700 access points with the help of Meraki Cloud Management. Room & Board's story is a great... Read more »

#892 Want to scale your business without chasing constant expansion? In this episode, host Kirsten Tyrrel sits down with Corby Felsher and Luisa McGrath, the powerhouse duo behind a $3M+ residential cleaning company built on simplicity, systems, and staying small to grow big. They reveal how focusing on one neighborhood, ditching phones for email-only communication, and streamlining services helped them deliver a superior product, retain happier customers, and run a highly profitable business with a lean team. From building airtight systems and automating quotes to training employees remotely and eliminating services that didn't serve their vision, Corby and Luisa share actionable insights for entrepreneurs who want to work smarter, reduce stress, and scale sustainably — without burning out or overcomplicating growth! (Original Air Date - 9/3/25) What we discuss with Corby and Luisa: + Building a $3M cleaning business + Focusing on one neighborhood + Ditching phones for email-only + Streamlining services for efficiency + Automating quotes and pricing + Training employees remotely + Using systems to ensure quality + Simplifying to scale sustainably + Creating a stress-free work culture + Growing profits with a lean team Thank you, Corby and Luisa! Check out Central Park Cleaning at ⁠CentralParkCleaning.com⁠. Watch the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠video podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ of this episode! To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices