Podcasts about automating

Are attackers really using AI to run end-to-end cyber campaigns? In this episode, Edward Wu (Founder and CEO, DropzoneAI) joins Ashish to separate the hype from reality when it comes to AI-driven attacks .Edward explains how attackers are currently using open-source LLMs for reconnaissance and spear-phishing , and why the major commercial models now explicitly prohibit users from generating exploits without vetting . On the defense side, Edward shares how AI agents have successfully automated over 160 years' worth of alert investigations in the real world proving that 100% software-delivered SOC triage is already here .We also debunk the myth of AI "hallucinations," explaining why most errors are actually just poor context management . If you're building a security operations center or working with an MSSP, this episode will teach you how to shift from manual alert fatigue to leveraging AI for threat hunting.Guest Socials -⁠ ⁠⁠⁠⁠⁠⁠Edward's Linkedin Podcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Security, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security Podcast⁠Questions asked:(00:00) Introduction(02:50) Who is Edward Wu? (Founder of Dropzone AI) (04:50) The Reality of AI Cyber Attacks Today (Recon vs. End-to-End) (07:20) Why Commercial LLMs Are Blocking Exploit Generation (11:50) How MSSPs are Evolving with AI Triage (18:20) The Asymmetric Capacity Gap: Why Humans Can't Keep Up (22:30) Automating 160 Years of Alert Investigations (23:50) Why AI Hallucinations are Actually Context Management Failures (26:00) Build vs. Buy: The Data Network Effect for AI Agents (29:20) The New Workflow for SOC Analysts & Threat Hunters(31:30) Defining "Threategy": Scope, Authorization, and Context (35:50) How to Detect Prompt Injection (Treat it like an Insider Threat) (38:30) Dropzone AI Announcements at RSACResources spoken about during the episode:- Dropzone Diner RSAC 2026- If you want to learn more about Dropzone- you can do that here!

You're selling jobs, managing crews, answering every phone call, texting colors to your team, and wondering why nothing runs without you. Sound familiar?In this episode I sit down with Durant Foote of Unlimited Painting and break down exactly what's holding his business back — and it's the same thing holding most contractors back. We go through his entire production workflow and expose every friction point: communication breakdowns, no systems, no admin support, and one crew carrying all the weight.Here's what we cover:0:00 — Where Durant's business is right now2:00 — The communication problem killing your production3:30 — Why Slack is a game changer for contractors5:55 — Automating your jobs pipeline with DripJobs + Zapier6:20 — Fixing the color confirmation mess9:30 — How to use forms to eliminate back and forth11:45 — The systems you need before you hire14:00 — Why you need an office admin NOW17:00 — Why I don't recommend hiring overseas for this role18:00 — The mindset shift that forces you to build systems21:25 — Production manager vs. admin — which do you actually need24:00 — Quality control and on-time completion27:00 — How I use production rates to price exteriors28:10 — Live sales roleplay and objection handling31:30 — Why I discount 90% of my jobs (and why you should too)34:00 — The 35% gross margin rule36:30 — How to keep your sub crews busy year round38:00 — Stop putting all the pressure on one crew39:00 — Think like an investor, not a painterIf you're a painting contractor or home service business owner doing under $2M and you feel like the entire business falls apart without you — this is your episode.——————————————————

Automation was sold as a way to scale good experiences. It scales bad ones just as efficiently. Healthcare has spent the last decade deploying chatbots, portals, AI-generated content, and personalization engines in the name of patient experience. The ROI case was built on efficiency: lower cost per interaction, faster throughput, reduced call center volume. What was never put on the balance sheet is what happens to patient trust when those systems fail — and they fail regularly, quietly, and without anyone in the organization knowing it happened. That's trust debt. Every time an automated system fails a patient and the patient absorbs the cost silently — closes the portal, hangs up, stops engaging — a withdrawal is made from an account most health systems never knew they had. It doesn't show up in satisfaction scores. It shows up in churn, in rising call volumes that automation was supposed to reduce, in patients who schedule once and don't come back. Chris Boyer and Reed Smith work through where the debt is accumulating right now — and where automation is actually doing the opposite: Why AI-generated health content optimized for fluency, not accuracy, is seeding doubt in the patients most likely to engage with it How portal adoption metrics are measuring the wrong signal — and why enrollment without satisfaction is just a larger audience for your frustration Where DXP personalization crosses from service into surveillance — and how thin consent frameworks are accelerating that perception What trust-building automation actually looks like, and what it has in common with the best human interactions in healthcare The three questions every team should ask before the next automated touchpoint goes live The research is catching up to what practitioners already sense. AI safety disclaimers in patient-facing responses dropped from 26% in 2022 to under 1% in 2025. Sixty-one percent of patients say they'd consider switching providers over a better digital experience. And the 2025 Edelman Trust and Health report found that no institution — not business, not government, not NGOs — is trusted to address patient needs. Healthcare is operating in a trust deficit it didn't create alone, but automation is making it worse in ways that are largely invisible to the organizations doing it. The question isn't whether to automate. It's whether you've been honest about what you're actually scaling. Mentions from the Show: TP456: When AI Speaks for the Patient — touchpoint.health TP460: When Digital Speaks for the Patient — touchpoint.health TP470: When AI Becomes the First Stop for Care — touchpoint.health AI errors in healthcare — Healthcare Brew, August 2025: https://www.healthcare-brew.com/stories/2025/08/20/healthcare-execs-ai-errors Declining medical safety messaging in AI — npj Digital Medicine, October 2025: https://www.nature.com/articles/s41746-025-01943-1 ECRI Top 10 Patient Safety Concerns 2025: https://www.medtechdive.com/news/ecri-patient-safety-report-2025-ai/742114/ ONC Patient Portal Access Data Brief 2024: https://healthit.gov/data/data-briefs/individuals-access-and-use-patient-portals-and-smartphone-health-apps-2024/ Experian Health patient portal switching stat: https://www.experian.com/healthcare/solutions/patient-engagement-solutions 2025 Edelman Trust Barometer: Trust and Health: https://www.edelman.com/trust/2025/trust-barometer/special-report-health 2026 Edelman Trust Barometer: https://www.edelman.com/trust/2026/trust-barometer Reed Smith on LinkedIn: https://www.linkedin.com/in/reedtsmith/ Chris Boyer on LinkedIn: https://www.linkedin.com/in/chrisboyer/ Chris Boyer website: http://www.christopherboyer.com/ Chris Boyer on BlueSky: https://bsky.app/profile/chrisboyer.bsky.social Reed Smith on BlueSky: https://bsky.app/profile/reedsmith.bsky.social Learn more about your ad choices. Visit megaphone.fm/adchoices

What happens when divorce forces you to look at your money differently?In this episode of The Crazy Ex-Wives Club, Erica sits down with Shana and Vanessa of Budget Besties to talk about the B word. Budgets. Not the restrictive, shame-filled kind. The bougie kind. The kind that supports your next chapter instead of shrinking it.Divorce often brings financial fear to the surface. Whether you managed the money before or not, stepping into full financial responsibility can feel overwhelming. Shame creeps in. Avoidance sets in. The credit card becomes the emotional buffer.Shana and Vanessa break down how to move from fear to clarity using a simplified, automated budgeting system designed specifically for women. They explain how most women don't have a spending problem. They have an organization problem.If you're navigating financial independence after divorce, feeling behind with money, or afraid to look at your bank account, this episode will remind you that you are capable of being the CFO of your own life.You'll learn:Why money feels heavier after divorceThe difference between a spending problem and an organization problemHow shame keeps women stuck financiallyThe three-step simplified budget system: create, separate, automateWhat a digital envelope system is and how it replaces outdated cash envelopesHow separating accounts creates natural guardrailsWhy automation eliminates financial stressHow to stop relying on credit cards to fund your lifeWhy adding cushion prevents rebound overspendingHow paying off debt creates financial freedomHow to let your money work for you instead of against youWhy your version of “bougie” is allowedWe talk about:00:00 Reframing the B word after divorce02:00 Why budgeting feels emotional and overwhelming04:00 Money shame and “I should know this already”06:00 Avoidance and head-in-the-sand habits08:00 The simplified five-column budget structure10:00 Digital envelopes and separating accounts12:00 Why guardrails create freedom14:00 Overspending and emotional justification16:00 Designing a budget you actually want to follow18:00 Becoming the CFO of your own life20:00 Adding buffer and flexibility into your spending22:00 Automating your bills and savings24:00 Debit cards versus credit card reliance26:00 Paying off debt and reclaiming income28:00 Financial independence in your next chapter30:00 Letting your money multiply while you sleep32:00 Small shifts that create financial momentum34:00 Why budgeting is self-respect, not restriction36:00 Your first simple step this weekLinks Mentioned in the ShowNeed a monthly reset and rhythm? Explore The WILD WOMANReady to Define the New You? Create your BLUEPRINTWant to grab your own bougie budget? Grab your download from the podcast HERELoved this week's guest? LEARN MOREContact Erica & The Crazy Ex-Wives Clubwww.thecrazyexwivesclub.com Tag us @ Instagram | Facebook | TikTokDid you love this episode? Make sure to follow for more.

“In just an hour, I built a UI to interrogate my data, and it handled most of the heavy lifting for a client project."Chris Marshall, Director & Co-founder, OnState.Optimising Ecommerce Data with AI: Real-World ApplicationsYes, we talk about AI a lot on the podcast. It's inevitable, AI is weaving its way into so many ecommerce processes and tasks.This episode is highly practical.We cover real-world examples of how AI tools are being used to speed-up product data tasks whilst reducing the need to rely on expensive licences for specialist tools.SummaryEcommerce businesses are increasingly turning to AI to enhance their data management processes. The pod explores how AI tools are being used to clean, enrich, and structure product data, providing real-world examples that highlight their practical applications.The Build vs. Buy Dilemma Is Being ReframedBusinesses often face the decision of whether to build custom solutions or purchase existing platforms. In the context of AI for product data, building allows for tailored solutions using tools like Google Sheets and AI models such as ChatGPT for tasks including data transformation and HTML cleaning. On the other hand, buying involves using specialized AI-enabled tools or outsourcing, which can save time but may incur higher costs.Practical AI Strategies Discussed:DIY data cleaning: AI models can automate data cleaning tasks, such as reformatting unstructured HTML and standardising attributes, saving significant manual effort.Automating data structure: AI can analyse complex datasets, infer attribute types, and suggest categorisation rules, streamlining the setup of dynamic product groups.Hybrid approaches: combining DIY methods with outsourcing can optimise resources, allowing businesses to handle unique projects efficiently.Tune in to hear how AI is transforming data migration and management by automating previously manual tasks, increasing speed and allowing for continuous learning. Chapters[00:30] The Build vs. Buy Debate in AI Data Management[03:20] AI in Data Migration: Practical Use Cases[06:15] Transforming Data with AI Tools[09:20] The Role of AI in Content Management[12:20] Engaging with Data Structures[15:00] Building Custom AI Tools for Specific Needs[17:45] Tactical Middleware: A New Approach[20:35] Speeding Up Data Transformation Processes[23:20] Validating AI Outputs and Managing Expectations[26:15] The Future of AI in Ecommerce Data Management

In this episode I speak with Fabian Q Veit, CEO of make.com, a long established automation platform, that like many others has moved into AI orchestration.   AI-powered learning with NoteGPT Summarize YouTube videos, PDFs, articles, lectures, audios, PPTs, and images. Instantly create notes, mind maps, and presentations. Boost your learning efficiency by 10x. https://go.chrischinchilla.com/notegpt For show notes and an interactive transcript, visit chrischinchilla.com/podcast/To reach out and say hello, visit chrischinchilla.com/contact/To support the show for ad-free listening and extra content, visit chrischinchilla.com/support/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

EPISODE SUMMARY In this episode of Adventures in Legal Tech, host Jared Correia tackles one of the most persistent frustrations in modern law practice: balancing cybersecurity requirements with everyday usability. Using a fictional law firm scenario, the discussion explores how attorneys can safeguard confidential client information without sacrificing productivity or creating unnecessary workflow friction. Guest Mike Maschke, President and CEO of Sensei Enterprises, breaks down practical cybersecurity strategies tailored for law firms, explaining why resistance to security tools often stems from misunderstanding rather than actual inconvenience. The conversation covers essential topics including multi-factor authentication, encrypted communication, compliance frameworks, AI governance, change management, and emerging cybersecurity trends shaping the legal industry. Rather than presenting cybersecurity as a technical burden, the episode reframes it as a strategic business function — one that protects firms, clients, and long-term operational stability. LINKS & RESOURCES redcavelegal.comsenseient.com mmaschke@senseient.com KEYWORDS Legal cybersecurity Law firm data protection Cybersecurity for lawyers Multi-factor authentication law firms Encrypted email legal practice Legal tech security compliance Law firm cybersecurity policy AI governance for law firms Legal technology risk management Cloud security law firms Zero trust security model Legal compliance cybersecurity Law firm IT strategy Change management legal tech Cyber insurance requirements Legal data privacy AI policy law firms Legal practice cybersecurity best practices EPISODE HIGHLIGHTS 00:00–01:15 – Introducing a new approach to solving legal tech problems 01:15–01:49 – The core challenge: security vs convenience in law firms 01:49–03:28 – Why cybersecurity adoption has historically been slow in legal 03:28–04:18 – Multi-factor authentication myths and realities 04:18–04:58 – Why lawyers resist security measures 04:58–06:29 – Email encryption and protecting sensitive client data 06:29–07:13 – Legacy email habits and evolving communication risks 07:13–09:37 – Compliance requirements across state, federal, and industry rules 09:37–10:45 – Productivity concerns when implementing cybersecurity controls 10:45–12:25 – Change management strategies for technology adoption 12:25–13:37 – Why law firms struggle with operational change 13:37–14:48 – Planning technology decisions three to five years ahead 14:48–15:50 – Transition into AI discussions and industry hype 15:50–16:49 – Risks of unstructured AI adoption ("shadow AI") 16:49–20:21 – Building firm-wide AI policies and governance frameworks 20:21–20:55 – Creating formal AI usage policies for law firms 20:55–22:16 – Early adoption of AI automation workflows 22:16–23:15 – Automating legal processes using AI integrations 23:15–25:41 – Future legal tech trends beyond AI hype 25:41–26:55 – Zero Trust security explained simply 26:55–28:55 – Proactive cybersecurity monitoring and incident response 28:55–31:07 – Building collaborative relationships with IT vendors 31:07–32:56 – Leadership transition lessons from Sensei Enterprises 32:56–33:28 – Episode wrap-up and key takeaways

Episode GuestRyan Harvey is Head of AI Engineering at Compare the Market, where he builds teams and capabilities to apply AI in ways that accelerate delivery and increase the impact engineers can have. He's passionate about mentoring, practical problem-solving, and helping the next generation thrive as the world of work rapidly changes.Episode Timestamps:0:00 Introduction0:27 From a Chip Shop in Cyprus to Tech Support3:07 Automating the Job: Learning to Work Smarter5:16 Where Ryan's Love for Tech Began8:27 What Makes a Great Software Engineer?11:45 Learning the Hard Way: Early Career Mistakes14:06 Cheers and Chores in Engineering16:54 Startup Life vs Corporate Engineering19:05 The Pressure of Mission-Critical Software20:20 Why Compare the Market?22:09 How to Stand Out in an Engineering Interview24:04 The Power of Mentors (Inside and Outside Tech)30:12 The Best Career Advice: Seek Forgiveness, Not Permission32:23 The Future of Engineering in the AI Era34:52 AI Won't Replace Engineers – It Will Elevate Them37:48 Are We Underestimating Junior Engineers?41:46 How to Break into Software Engineering Today43:43 What Gets Ryan Out of Bed in the MorningEpisode Partners

AI had little to no impact on productivity in the past 3 years.This was according to a National Bureau of Economic Research survey released in February 2006 of 6,000 CEOs and executives across the US, UK, Germany, and Australia. Instead of throwing fruit at us, watch or listen as Enterprise Business Agility Consultant Om Patel and Product Manager Brian Orlando discuss why it won't be the loudest Silicon Valley CEO helping us make the most out of these new tools and technology, but boring old process improvement and org design!Yes, the current research-backed consensus (we review more such articles and research) is that AI adoption doesn't lead to productivity gains, but executives are going to still buy it anyway - they've got "positive vibes."

In this episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper sit down with Riya Grover to explore how AI is transforming order-to-cash workflows. The conversation explores billing automation, revenue operations, and the evolving role of finance teams. Riya shares her entrepreneurial journey and how Sequence is building the first agentic AR platform. This episode is packed with practical insights for modern finance leaders navigating AI adoption.Riya Grover is the Co-founder and CEO at Sequence. Sequence, backed by a16z with $40M raised, is building the first agentic platform for accounts receivable. The company helps B2B businesses automate quoting, billing, invoicing, and revenue recognition, especially for complex pricing and custom contracts. Prior to Sequence, Riya founded Feedr, a venture-backed company that exited to Compass Group in 2020. She holds an MBA from Harvard Business School and a BA in Economics and Management from Oxford University.In this episode, you will discover:Why building a two-sided marketplace is incredibly difficultHow modern B2B pricing models break traditional billing systemsThe difference between deterministic systems and generative AI in financeWhy human-in-the-loop design is critical for financial AI agentsWhat the future finance tech stack will look like in the next five yearsRiya explains how complex contracts, usage-based pricing, and custom deal structures create massive billing challenges for growing companies. Sequence solves this by combining deterministic billing foundations with AI-powered workflow agents. The discussion highlights where AI should and should not be used in finance operations. Trust, auditability, and human oversight remain central to successful AI implementation.Follow Riya:LinkedIn: https://www.linkedin.com/in/riya-grover-a22a4822/Website: https://www.sequencehq.com/Sequence Series A Fundraising: AnnouncementFollow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn - https://www.linkedin.com/in/thefpandaguyFollow QFlow.AI:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses...

In this episode, Jason Fishman hosts Ori Ohayon and Tory Ricalis, co-founders of Titl, to discuss how blockchain and AI are transforming real estate transactions. They share insights into their journey from identifying inefficiencies in traditional property dealings to developing a platform that streamlines title searches and reduces settlement times. The conversation covers the challenges of integrating new technology in a legacy industry, the importance of strategic partnerships, and the mindset shifts required for innovation. Ori and Tory also delve into the role of AI in automating processes, the impact of rebranding on market acceptance, and the future of real estate technology. Takeaways: Blockchain and AI can significantly reduce real estate transaction times. Strategic partnerships are crucial for gaining industry acceptance. Rebranding can enhance market perception and adoption. Automating title searches with AI improves accuracy and efficiency. Building a unified digital land registry offers a single source of truth. Flexibility and customization are key to meeting client needs. Long-term planning and resilience are essential for success. Chapters:  00:00 Introduction to Titl and Real Estate Innovation  06:45 Addressing Industry Inefficiencies  13:30 The Role of Blockchain and AI  20:15 Strategic Partnerships and Market Acceptance  27:50 Automating Title Searches  34:05 Building a Digital Land Registry  40:20 Rebranding and Market Perception  46:55 Future of Real Estate Technology Social and Website: https://www.linkedin.com/in/tory-ricalis-548818118/ https://www.linkedin.com/in/oriohayon/ https://titl.co/

#790 What if the easiest way to grow your business was hiding in plain sight — your existing customers? In this episode, host Brien Gearin welcomes back Brian O'Connor, ex-Deloitte consultant, founder of TalentHQ, and three-time MU guest, to dive deep into the power of customer success. Learn how businesses of all sizes — from SaaS companies to local service providers — can drive massive growth by retaining clients, generating referrals, collecting more reviews, and increasing lifetime customer value. Brian also shares how he helps companies hire top-tier talent from Latin America at a fraction of U.S. prices, and why the Customer Success Manager might be the most overlooked (and most profitable) role in your business. Whether you're just starting out or scaling fast, this episode will help you unlock more revenue — without chasing new leads! (Original Air Date - 6/26/25) What we discuss with Brian: + Customer success vs. customer service + Retention, referrals, and renewals + How SaaS pioneered customer success + Reoccurring vs. recurring revenue + Upselling through relationship building + Why reviews drive local business growth + Hiring top talent in Latin America + Small business roles to outsource + Automating follow-up for repeat sales + Customer success for online communities Thank you, Brian! Subscribe to Brian's newsletter at ⁠OutlierGrowth.com⁠. Follow Brian on social media @thebrianfoconnor. Email Brian at brian@talenthq.co. 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

Welcome to this episode of The New Warehouse Podcast, where Kevin chats with Audrey Djiya, CEO and Co-Founder of Handled. Audrey shares how her team is tackling one of the most overlooked areas of logistics: what happens after the customer clicks 'buy'. Handled is building an AI-powered operations platform focused on eliminating the manual, fragmented, and reactive work that dominates post-purchase workflows. From disconnected systems to return chaos and SLA blind spots, the conversation explores how automating manual tasks can shift 3PLs from constant firefighting to proactive execution.Learn more about Sonaria here. Follow us on LinkedIn and YouTube.Support the show

Anjali Jameson, Chief Product Officer at Arbiter, says the hard part is not gathering data. It is getting action across patients, providers, and payers without breaking what already works.“Automating something that's broken is not going to necessarily give us better outcomes.”Arbiter is a care orchestration platform built for patients, providers, and payers together, not a single point solution. The operating spine ingests and makes actionable data across the patient journey, including provider directories, EMR integrations, claims, and financial and policy data from health plans, then connects it to highly personalized multi channel agentic outreach. You will hear why cross system context matters, how total cost of care stays in view while each stakeholder chases different leading metrics, and what it looks like to move from automation into optimization, like going from a call center scheduling flow to 60 percent conversion and pushing toward 95 percent conversion.Timeline00:40 Care orchestration platform, operating spine, data across the patient journey04:33 Misaligned incentives, prior authorizations, 12 to 14 hours a week09:42 Total cost of care, star metric, building for different metrics12:25 Long form personalized videos, transportation, education, medication management15:02 Prior authorization from three to six days to almost instantaneous22:07 COVID, provider messaging two, three X, AI responds fasterSubscribe and share it with someone who is building in health tech.

Every step a dairy cow takes counts. There is a new tool available for farmers to detect lameness before it's visible. Dairy Stream host, Joanna Guza, and guest Tera Baker discuss the following topics:  Basics of hoof health care Automating hoof care Accuracy of artificial intelligence (AI) findings Materials needed on farm How it fits into a hoof care plan ROI Lifespan of equipment Advice to a farmer who is hesitant about adding AI on the farm Future of hoof health care About the guest Tera Baker is the North American Marketing Manager for the NedapDairy Business, bringing a lifelong passion for agriculture and a career spanning multiple segments of the dairy industry. Originally from Three Oaks, Michigan, she holds a B.S. in Agribusiness Management from Michigan State University and an MBA from Central Michigan University. Tera's career includes roles in pharmaceutical sales and leading the precision livestock sales unit at Topcon, and has spent time living and working with farms in Texas, Wisconsin, and Michigan in addition to national and international roles. She is especially energized by Nedap's commitment to technology creation and its role as a key connector among leading brands serving progressive dairy farmers. Beyond her work at Nedap, Tera remains deeply rooted in agriculture. She farms cash crops with her family, co-owns a precision ag dealership with her husband, and operates a U-Pick flower farm experience. Tera brings a grounded yet forward-looking perspective on dairy technology, innovation, and the future of livestock management.  Resources: SmartSight with Nedap Article on Nedap ignites the era of AI-powered vision technology with SmartSight Compeer Financial is proud partner of Dairy Stream.  Learn more about Dairy Stream sponsorship. This podcast is produced by the Voice of Milk, a collaboration of individual dairy organizations working to improve the future of dairy farm families. Become a sponsor, share an idea or feedback by emailing podcast@dairyforward.com. 

We are at a unique point in history where there is finally an alternative to human coding. If AI can write the code effectively, what is left for the software engineer?In this episode, Joris Conijn (AWS CTO at Xebia) argues that the era of "just coding" is over. We discuss why senior developers are safe (for now), why juniors are at risk of never learning the fundamentals, and how "Shadow AI" is forcing companies to change their security strategies.Most importantly, we break down the difference between a "Programmer" and a "Software Engineer" with the introduction of agentic tools. If you want to future-proof your career and move from writing lines of code to designing systems, this conversation is for you.In this episode, we cover:Why banning AI at work actually increases your security riskHow to use AI to automate the boring parts of the SDLC (requirements & user stories)The critical difference between "Coding" and "System Architecture"Why you should check your AI Agents into your Git repositoryThe 20-year problem: what happens when engineers never learn the fundamentals?Connect with Joris Conijn:https://www.linkedin.com/in/jorisconijnTIMESTAMPS00:00:00 - Intro 00:01:11 - What Keeps a CTO Excited About Tech? 00:02:58 - Stop Being the "Department of No" in Security 00:05:28 - The Real Risk of Banning AI at Work 00:06:32 - When Developers Hold the Organization Hostage 00:08:14 - The Hidden Dangers of Instant AI Code Fixes 00:09:50 - Will Future Devs Understand Object Oriented Programming? 00:11:36 - Using AI to Accelerate Learning vs Copy-Pasting 00:13:17 - Why Testing Matters More When AI Writes Code 00:16:42 - Automating the Boring Parts of the SDLC 00:19:06 - How to Turn Meeting Transcripts into User Stories 00:21:36 - The Critical Skill of Making Implicit Knowledge Explicit 00:23:10 - Why You Should Stop Obsessing Over Story Points 00:27:46 - The "A-Team" Approach to High-Trust Development 00:29:54 - Running Parallel Workflows with AI Agents 00:33:34 - Pro Tip: Check Your AI Agents into Git 00:35:52 - Balancing Autonomy and Governance in Large Teams 00:39:19 - There Is Finally an Alternative to Human Coders 00:41:07 - Programmer vs Software Engineer: What is the Difference? 00:44:45 - How to Teach Software Engineering in the AI Era#SoftwareEngineering #SystemDesign #AIAgents

Series 5 – Episode 5 Hosts: Renee Chiuchiarelli & Julie Parks (Hammer & Heels) Length: ~12 minutes Format: Simply Trade Tips Episode Summary In this episode of Simply Trade Tips, Renee and Julie tackle a topic that doesn't always get the spotlight it deserves: learning. With trade rules shifting constantly — tariff changes, executive orders, enforcement priorities, and regulatory updates — relying on static training or tribal knowledge simply isn't enough. Traditional “calendar training” (scheduled webinars, annual sessions, policy rollouts) still has value, but it's disconnected from daily operations. The big idea? Learning must move from a side activity to core infrastructure. Renee and Julie introduce the concept of “inflow learning” — contextual, real-time training embedded directly into workflow systems. Instead of pausing work to learn, professionals access guidance at the exact moment they need it. This shift makes compliance more resilient, scalable, and defensible in today's enforcement environment. Key Topics Covered Why static training creates operational gaps The difference between: Calendar training (scheduled sessions) Inflow training (embedded, contextual learning) How automation can trigger learning during: Origin determinations Classification decisions Filing processes Audit reviews Role-based learning paths for importers, exporters, and compliance teams Micro-learning triggered by real-time errors Using AI to generate contextual training from existing materials Why regulators expect documented training as part of “reasonable care” How embedded learning reduces repeat errors and improves confidence Why knowledge in trade is no longer theoretical — it impacts entries, exports, and balance sheets immediately Key Takeaways Learning must be integrated into daily workflow, not isolated from it Automation supports better decision-making without replacing expertise Real-time learning reduces repeat errors and strengthens defensibility Training documentation can become powerful evidence during audits Trade compliance in today's environment requires resilience, not just proactivity This Episode's FIO (Figure It Out) Take a moment to evaluate your current training model: Is your team relying mostly on scheduled sessions? Do your systems provide contextual, real-time learning prompts? Have you asked your software provider about embedded guidance tools? Have you explored advanced or hybrid learning models that combine live instruction with digital access? Dip your toe in. Explore what's available. Demand better integration between learning and operations. Join the Conversation How is your organization approaching trade training in 2026? Are you relying on memory — or building infrastructure? Join us inside the Trade Geeks Community and share what you're doing to make learning more resilient. Credits Hosts: Renee Chiuchiarelli Julie Parks Producer: Lalo Solorzano

Most marketers use AI to write generic emails.Kieran Flanagan used it to increase sales meetings by 30% and build a “Chief of Staff” that manages his 350-person team.Kieran is the SVP of Marketing at HubSpot, where he has helped scale the company from 250 to over 7,000 employees.He is also the co-host of the popular “Marketing Against the Grain” podcast.In other words, Kieran doesn't just theorize about AI; he is actively “vibe coding” custom internal tools to overhaul HubSpot's entire go-to-market motion.In this episode, Kieran opens his laptop to show exactly how he builds custom AI agents that extract viral talking points from video, automate complex management reporting from Slack, and personalize outreach at massive scale.Here's what you'll learn in this episode:The “Vibe Coding” Strategy: Why building your own simple tools beats buying off-the-shelf software.30% More Meetings: The exact email workflow change that drove massive sales efficiency.Management Automation: How to use AI to summarize weekly team activity and identify blockers across 350 employees.The Death of Prompt Engineering: Why “context grafting” and intent matching are replacing complex prompts.TIMESTAMPS:00:00 - Introduction00:30 - Managing a 350-person team at HubSpot04:05 - How AI drove a 30% increase in sales meetings08:07 - Building custom data sets for personalized outreach14:47 - Demo: Kieran's custom “Viral Talking Points” tool21:18 - Why “Vibe Coding” is the future of marketing workflows25:49 - Turning video transcripts into high-performing LinkedIn posts30:45 - The evolution of prompt engineering (and why it's dying)38:37 - The “Shakespeare Trap” of using AI for feedback42:30 - Using AI agents for deep research and storytelling50:28 - Automating management: Summarizing Slack and identifying blockers59:05 - Why AI makes creativity more valuable, not less01:02:40 - The #1 trait Kieran looks for when hiring01:03:15 - Sneak peek: AI agents inside Google SheetsWhere to find Kieran:LinkedIn: https://www.linkedin.com/in/kieranjflanagan/X: @searchbratWebsite: https://www.kieranflanagan.io/ , https://www.hubspot.com/Podcast: @MATGpodWhere to find Tim:LinkedIn: https://www.linkedin.com/in/timsoulo/X: @timsouloWebsite: https://www.timsoulo.com/

Listen to this week's first guest, Ed Stockman of Optimus,  talking about how consistent pricing builds long-term shipper relationships, reduces customer churn, and creates predictable freight brokerage revenue instead of chasing volatile spot market rates! Ed also covers why new freight brokers must own their local market first and focus on known shippers and commodities before expanding, data-driven freight sales using real shipment data and tools like Optimus AI to identify active shippers, sharpen targeting, and eliminate wasted calls. If you want stronger freight sales execution, smarter prospecting, and scalable brokerage growth, this episode lays out the playbook!   Connect with Ed Website: https://www.getoptimus.ai/  

The Dairy Streamlet is a condensed version of a long Dairy Stream episode and covers the high-level points of the conversation. If this topic interest you, then listen to the full episode on Feb. 18. Dairy Stream host, Joanna Guza, and guest Tera Baker of Nedap discuss the basics of hoof health, automating hoof care, working with your hoof trimmer, artificial intelligence, ROI and the future of hoof health care. This episode is sponsored by Nedap. About the guest Tera Baker is the North American Marketing Manager for the NedapDairy Business, bringing a lifelong passion for agriculture and a career spanning multiple segments of the dairy industry. Originally from Three Oaks, Michigan, she holds a B.S. in Agribusiness Management from Michigan State University and an MBA from Central Michigan University. Tera's career includes roles in pharmaceutical sales and leading the precision livestock sales unit at Topcon, and has spent time living and working with farms in Texas, Wisconsin, and Michigan in addition to national and international roles. She is especially energized by Nedap's commitment to technology creation and its role as a key connector among leading brands serving progressive dairy farmers. Beyond her work at Nedap, Tera remains deeply rooted in agriculture. She farms cash crops with her family, co-owns a precision ag dealership with her husband, and operates a U-Pick flower farm experience. Tera brings a grounded yet forward-looking perspective on dairy technology, innovation, and the future of livestock management.    Compeer Financial is proud partner of Dairy Stream.  Learn more about Dairy Stream sponsorship. This podcast is produced by the Voice of Milk, a collaboration of individual dairy organizations working to improve the future of dairy farm families. Become a sponsor, share an idea or feedback by emailing podcast@dairyforward.com. 

Is AI eating the software industry, or is it just making it more powerful?In this episode, we sit down with Braden Dennis, CEO and co-founder of Fiscal.ai, to discuss the shift happening in enterprise SaaS. If you've watched our videos, you know we use Fiscal's charts every single day to analyze the markets, so it was great to get Braden's perspective on where the industry is headed.We dive deep into the software apocalypse narrative and whether it's based in reality or just a market overreaction. Braden explains why maintaining software is getting easier, how his engineering team has achieved 10x productivity, and why internal AI solutions are coming for the "busy work" that off-the-shelf SaaS can't solve.Join us on Discord with Semiconductor Insider, sign up on our website: www.chipstockinvestor.com/membershipSupercharge your analysis with AI! Get 15% of your membership with our special link here: https://fiscal.ai/csi/Sign Up For Our Newsletter: https://mailchi.mp/b1228c12f284/sign-up-landing-page-short-formChapters:0:00 – Is AI Eating Software? 1:12 – Meet Braden Dennis, CEO of Fiscal.ai 1:45 – Why Software Engineering Has Changed Completely 2:40 – 2026 Outlook: Opportunities vs. Traps 3:30 – What Software is Becoming Obsolete? 4:30 – Automating the "Unsolvable" Internal Busy Work 5:15 – "Intelligence in the Sky": A New Data Layer 6:10 – Pricing Power Debate: Will Clients Pay Less? 7:45 – Broadcom & VMware Case Study8:55 – Comparing the Software Correction to 2018 Semiconductors 11:45 – Lessons on Market Cyclicality 13:55 – The Problem with Late-Stage Venture Capital 16:00 – Why We Need More Tech IPOs 18:10 – The Incentive for Founders to Stay Private 20:00 – Evaluating Figma and Adobe in the AI Age21:30 – ServiceNow: Narrative vs. Financial Reality 22:45 – Final Verdict: Being Selective in a Sell-offIf you found this video useful, please make sure to like and subscribe!*********************************************************Affiliate links that are sprinkled in throughout this video. If something catches your eye and you decide to buy it, we might earn a little coffee money. Thanks for helping us (Kasey) fuel our caffeine addiction!Content in this video is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal. #AI #SaaS #SoftwareStocks #Investing #ChipStockInvestor #FiscalAI #TechInvesting #ServiceNow #stockmarket2026 Nick and Kasey own shares of Adobe, Figma, ServiceNow

Our topic today is building and running network workflows. If your network workflows live in a spreadsheet, a SharePoint document, or in your head, you really need a workflow manager. A workflow manager brings scalability, repeatability, and consistency to your network operations team. In this sponsored episode, we discuss Cisco Crosswork Workflow Manager. Our guests... Read more »

Our topic today is building and running network workflows. If your network workflows live in a spreadsheet, a SharePoint document, or in your head, you really need a workflow manager. A workflow manager brings scalability, repeatability, and consistency to your network operations team. In this sponsored episode, we discuss Cisco Crosswork Workflow Manager. Our guests... Read more »

Our topic today is building and running network workflows. If your network workflows live in a spreadsheet, a SharePoint document, or in your head, you really need a workflow manager. A workflow manager brings scalability, repeatability, and consistency to your network operations team. In this sponsored episode, we discuss Cisco Crosswork Workflow Manager. Our guests... Read more »

Miranda Nover is the Co-founder and CEO of Fort Health. Fort builds wearables that automatically track strength training for people who care about longevity.This is a new format I'm experimenting with. It's the first time I've had a Banana portfolio company founder on the show while they're still at the pre-seed stage. When I surveyed my subscribers a few weeks ago, you were most interested in more early stage VC-backed founders, and I'd love your feedback on what you think of this.Miranda is still very much working through the idea maze and iterating on the Fort product. We talk about the megatrends driving consumer health, why she's building a company that helps people get stronger, and everything she's learned getting a hardware company off the ground.She's also in the middle of the current YC batch, and gives an inside look at what it's been like and if she'd recommend it to other founders.Thank you to Numeral and Flex for supporting this episode.Try Numeral, the end-to-end platform for sales tax and compliance: https://www.numeral.comSign-up for Flex Elite with code TURNER, get $1,000: https://form.typeform.com/to/Rx9rTjFzTimestamps:(3:37) Importance of strength training(6:34) Benefits of being strong(10:37) Evolution of Fort's hardware(15:58) Automating workout tracking(19:29) Two types of strength trainers(25:30) Building the strength company(27:26) How healthcare is consumerizing(40:43) Lessons building batteries at Tesla(44:56) Hardest parts about building a hardware startup(51:01) Adventures in vibe coding(57:54) How to use Twitter as a founder(1:02:09) The launch video industrial complex(1:08:03) What it's like doing YC(1:10:19) Selling crayons in 3rd grade, Lemonade stands(1:14:41) Miranda's best vintage finds(1:16:44) How Turner evolved as a VC(1:22:22) Turner's early social media PMF(1:28:53) Inventing shitpostingReferencedTry Fort: https://www.fort.cx/Follow MirandaTwitter: https://x.com/mirandanoverLinkedIn: https://www.linkedin.com/in/mirandanoverFollow TurnerTwitter: https://twitter.com/TurnerNovakLinkedIn: https://www.linkedin.com/in/turnernovakSubscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

Social media management is evolving rapidly, and the future of content creation hinges on understanding both technology and audience behavior. In this episode of Sharkpreneur, Seth Greene interviews Emeric Ernoult, Founder and CEO of Agorapulse, a social media management platform that has grown to $20 million in revenue without external funding. With more than 26 years of entrepreneurial experience, Emeric shares the challenges and breakthroughs that led to Agorapulse's success, from its early days of bootstrapping to its emergence as a leader in social media management. In this episode, Emeric also discusses the shifting social media landscape, trends businesses can't afford to ignore, and how AI is poised to revolutionize content creation. Key Takeaways:→ Agorapulse supports 10 major social networks and helps businesses publish content, engage with their audience, and analyze social media performance.→ AI automation within Agorapulse enables brands to manage high volumes of interactions, prioritize engagement, and streamline moderation.→ Social listening capabilities extend beyond social profiles to track brand mentions across forums, blogs, and other online platforms. → The future of social media is evolving from a focus on follower count to “interest media.”→ Content creation today must be hyper-targeted, focusing on understanding the audience's pain points and creating content they would pay for. Emeric Ernoult is a serial entrepreneur with 25 years of experience in Social Media and Saas (software as a service). He is the CEO and co-founder of Agorapulse, a Paris-based Social Media Management Software launched in 2011. Agorapulse has 175 team members in 19 countries, and is currently being used by more than 37,000 users across 180 countries. It is the only business in this industry to have exceeded $20M in annual revenue without raising capital. Connect With Emeric:Website: https://www.agorapulse.com/Instagram: https://www.instagram.com/agorapulse/ Threads: https://www.threads.com/@agorapulse TikTok: https://www.tiktok.com/@agorapulse X: https://x.com/agorapulse Facebook: https://www.facebook.com/Agorapulse/ LinkedIn: https://www.linkedin.com/company/agorapulse/

All links and images can be found on CISO Series. This week's episode is hosted by David Spark, producer of CISO Series and Andy Ellis, principal of Duha. Joining them is Russ Ayres, CISO, Principal Financial Group. In this episode: Metrics that matter Tool babysitting problem Automating the brokenness Stay connected intentionally Huge thanks to our sponsor, Strike48 Strike48 is the Agentic Log Intelligence Platform that actually puts AI agents to work, combining full log visibility with AI agents that investigate, detect, and respond 24/7. With pre-built agent clusters for security and a no-code agentic workflow builder, it's easy to get started. Learn more at strike48.com/security.  

"If you ask the surgeon how much time they have to spend thinking about the business side of their practice, it's too high... Let's let doctors be doctors." - Ryan WellsMy guest this week is Ryan Wells, Founder and CEO of Health Here. Ryan joins me to explain why the key to fixing the broken doctor-patient relationship is getting providers out of the debt collection business.We explore how Episodic Care (bundled payments) can finally align the financial incentives of self-funded employers and high-value specialists. Ryan breaks down how his platform automates payments, getting surgeons paid in under 15 days while eliminating patient liability entirely.We dive deep into Ryan's background in the OR, the lessons learned from the "Metal on Metal" hip recall, and why we need to move from "open enrollment confusion" to real-time, event-driven patient navigation.If you are tired of administrative waste and want to see a model where doctors focus on care instead of claims, this episode is for you.Thank you to our 2026 sponsors!ParetoHealth: ParetoHealth empowers midsize employers with a long-term solution to reduce volatility and lower overall health benefits costs. Visit ParetoHealth.com to learn more.Samaritan Fund: A program that connects those who need help to the support they need. We are proud to offer the Samaritan Fund Program. Visit SamaritanFundProgram.com to learn more.Vālenz Health: We're Vālenz Health, your partner in improving health literacy, reducing plan spend, and delivering high-value healthcare. Visit ValenzHealth.com to learn more.Imagine360: Imagine360 helps self-funded employers save on healthcare with smarter health plans. Cut expenses by 20-30% with custom solutions. Contact us today at Imagine360.com.Chapters:(00:00:00) Let Doctors Be Doctors(00:03:04) Ryan's Journey: From Anthropology to the OR (00:07:00) Lessons from Medicare's Acute Care Episode Demo (00:10:46) Defining the "Bundle" vs. Fee-for-Service (00:13:00) Value-Based Care = Outcome / Cost (00:16:14) Why Orthopedics is the Perfect Starting Point (00:18:32) Moving from "Elective" to "Discretionary" Care (00:21:38) The Navigation Problem: Open Enrollment Fails (00:31:48) Owning the Payment Rails: 15-Day Payments (00:37:38) Automating the "Outlier Workflow" (00:41:35) The "Metal on Metal" Hip Recall & Registries (00:48:30) Expanding to Cardiology and Bariatrics (00:53:03) The Moonshot: Removing the Business Burden from MDsKey Links for Social:@SelfFunded on YouTube for video versions of the podcast and much more - https://www.youtube.com/@SelfFundedListen/watch on Spotify - https://open.spotify.com/show/1TjmrMrkIj0qSmlwAIevKA?si=068a389925474f02Listen on Apple Podcasts - https://podcasts.apple.com/us/podcast/self-funded-with-spencer/id1566182286Follow Spencer on LinkedIn - https://www.linkedin.com/in/spencer-smith-self-funded/Follow Spencer on Instagram - https://www.instagram.com/selffundedwithspencer/

Ep. 197 features Benson Bleier and Daniel Prior, Co-Founders of Regen, an automated savings platform built specifically for sports bettors. break down how Regen helps bettors automatically save money on every bet — win or lose — and why they believe savings and investing can become a core part of sustainable gaming.   Hear them discuss: Benson and Daniel's paths from consulting, VC, and professional poker into building a betting-adjacent fintech startup How the founders met in Argentina through padel and decided to launch Regen How poker bankroll management inspired the original idea behind Regen What Regen does: automated savings triggered every time a sports bet is placed (win or lose) How the product works, including sportsbook connections, bank integrations, and user-set saving rules Why users save on both wins and losses and how typical saving percentages are set How Regen aggregates betting activity across multiple sportsbooks to provide simple performance insights Why Regen positions itself as a fintech, “gambling-adjacent” product for operators and bettors How Underdog's Guard Dog fund discovered Regen and why it invested Regen's roadmap, including operator integrations, investing products, and its vision for sustainable betting and financial education   Catch the video version of this episode here.   Learn more

"If you ask the surgeon how much time they have to spend thinking about the business side of their practice, it's too high... Let's let doctors be doctors." - Ryan WellsMy guest this week is Ryan Wells, Founder and CEO of Health Here. Ryan joins me to explain why the key to fixing the broken doctor-patient relationship is getting providers out of the debt collection business.We explore how Episodic Care (bundled payments) can finally align the financial incentives of self-funded employers and high-value specialists. Ryan breaks down how his platform automates payments, getting surgeons paid in under 15 days while eliminating patient liability entirely.We dive deep into Ryan's background in the OR, the lessons learned from the "Metal on Metal" hip recall, and why we need to move from "open enrollment confusion" to real-time, event-driven patient navigation.If you are tired of administrative waste and want to see a model where doctors focus on care instead of claims, this episode is for you.Thank you to our 2026 sponsors!ParetoHealth: ParetoHealth empowers midsize employers with a long-term solution to reduce volatility and lower overall health benefits costs. Visit ParetoHealth.com to learn more.Samaritan Fund: A program that connects those who need help to the support they need. We are proud to offer the Samaritan Fund Program. Visit SamaritanFundProgram.com to learn more.Vālenz Health: We're Vālenz Health, your partner in improving health literacy, reducing plan spend, and delivering high-value healthcare. Visit ValenzHealth.com to learn more.Imagine360: Imagine360 helps self-funded employers save on healthcare with smarter health plans. Cut expenses by 20-30% with custom solutions. Contact us today at Imagine360.com.Chapters:(00:00:00) Let Doctors Be Doctors(00:03:04) Ryan's Journey: From Anthropology to the OR (00:07:00) Lessons from Medicare's Acute Care Episode Demo (00:10:46) Defining the "Bundle" vs. Fee-for-Service (00:13:00) Value-Based Care = Outcome / Cost (00:16:14) Why Orthopedics is the Perfect Starting Point (00:18:32) Moving from "Elective" to "Discretionary" Care (00:21:38) The Navigation Problem: Open Enrollment Fails (00:31:48) Owning the Payment Rails: 15-Day Payments (00:37:38) Automating the "Outlier Workflow" (00:41:35) The "Metal on Metal" Hip Recall & Registries (00:48:30) Expanding to Cardiology and Bariatrics (00:53:03) The Moonshot: Removing the Business Burden from MDsKey Links for Social:@SelfFunded on YouTube for video versions of the podcast and much more - https://www.youtube.com/@SelfFundedListen/watch on Spotify - https://open.spotify.com/show/1TjmrMrkIj0qSmlwAIevKA?si=068a389925474f02Listen on Apple Podcasts - https://podcasts.apple.com/us/podcast/self-funded-with-spencer/id1566182286Follow Spencer on LinkedIn - https://www.linkedin.com/in/spencer-smith-self-funded/Follow Spencer on Instagram - https://www.instagram.com/selffundedwithspencer/

Alex Gleason was one of the main architects behind Donald Trump's Truth Social. Now he focuses on the intersection of nostr, ai, and bitcoin. We explore open source ai agents, such as OpenClaw, and the wider implications of the tech on society.Alex on Nostr: https://primal.net/p/nprofile1qqsqgc0uhmxycvm5gwvn944c7yfxnnxm0nyh8tt62zhrvtd3xkj8fhggpt7fyClawstr: https://clawstr.com/Soapbox Tools: https://soapbox.pub/toolsMy bot's nostr account: https://primal.net/p/nprofile1qqsfzaahg24yf7kujwrzje8rwa7xmt359tf9zyyjeczc9dhll30k8pgmlfee2 EPISODE: 190BLOCK: 935786PRICE: 1422 sats per dollar(00:02:30) Value-for-value, no sponsors, and show philosophy(00:02:39) Alex Gleason returns to talk AI(00:03:56) From vibe coding to open-source agents with memory(00:05:24) Messaging-first UX: Signal, Nostr, WhatsApp as AI interfaces(00:06:10) Why chatbots beat traditional AI apps for mainstream users(00:07:07) Open protocols pain vs closed platforms; Bitcoin and Nostr(00:08:52) Automating social games: price tracker and agent posting on Nostr(00:10:01) AI mediators for collective action, constitutions, and nonprofits(00:11:46) Scaling governance: trust, bias, and Discord vs freedom tech(00:13:14) Bot barriers on centralized messengers and need for open chat(00:14:04) Clawstr: decentralized AI-to-AI discussions on Nostr(00:15:21) Hype vs reality in AI agents; emergent behaviors and money(00:16:26) Agentic payments: bots with Cashu wallets and earnings(00:18:40) Agents solving UX pain: relay management, keys, and UTXOs(00:20:00) Cold storage approvals with chat agents: a new wallet paradigm(00:20:22) Specialized agents, skills, and distribution challenges(00:22:34) Cost tradeoffs: pay another agent vs build skills yourself(00:24:55) Token burn lessons(00:27:44) Beyond OpenClaw: bloated stacks, Icarus, and cost-optimized agents(00:28:52) Hybrid model routing: local small models with cloud for heavy lifts(00:29:47) Agents paying humans directly: disintermediating platforms(00:30:47) Voice, screens, and form factors: AirPods, text, and brain chips(00:33:01) Apple, privacy branding, and the Siri gap(00:34:35) Enterprise AI choices: Google, Microsoft, trust, and lock-in(00:36:01) Model personalities: Gemini concerns and OpenAI "openwashing"(00:37:23) Obvious agent UX wins: flights, rides, and social media shifts(00:38:50) Local-first social: group chats, neighbors, and healthier networks(00:40:16) Antiprimal.net: standardizing stats from Primal's caching server(00:43:34) Open specs, documentation via AI, and trust tradeoffs(00:45:18) Indexes vs client-side scans: performance and verification(00:46:20) APIs, rate limits, and a market for paid Nostr data(00:47:57) Agents and DVMs: paying sats for services on demand(00:48:49) Degenerate bots: LN Markets, costs, and Polymarket curiosity(00:50:42) Truth feeds for agents: Nostr, webs of trust, and OSINT sources(00:53:51) Post-truth reality: verification, signatures, and subjectivity(00:56:04) Polymarket mechanics: on-chain prediction markets and signals(01:00:10) Trading perception vs truth; sports markets as timelines(01:01:45) The Clawstr token saga: hype, claims, and misinformation(01:07:11) Why meme coins are scams: no equity, utility myths, slow rugs(01:08:55) Pulling the rug back: swapping out, fallout, and donations(01:10:49) Aftermath: donating to OpenSats and lessons learned(01:12:14) Prediction markets vs meme coins: societal value distinction(01:15:25) Iterating beyond OpenClaw and MoltBook; experiments on Nostr(01:18:00) Do bots need Clawstr? Segregating AI content and labels(01:21:02) Reverse CAPTCHA: proving bot-ness and the honor system(01:23:38) Souls, prompts, and token costs; agents with personalities(01:27:01) Wrap-up: acceleration, optimism, and next check-in(01:28:21) Open-source models, China's incentives, and local hardware(01:30:06) The dream stack: home server agent, Nostr chat, hybrid modelsmore info on the show: https://citadeldispatch.comlearn more about me: https://odell.xyz

Alexis Carlier, founder of Asymmetric Security, explains how assuming AGI-level intelligent labor should transform cybersecurity from reactive triage to proactive, continuous digital forensics. He breaks down today's threat landscape—from “spray and pray” cybercrime to nation-state IP theft and North Korean “remote workers.” The conversation explores Asymmetric's AI agents for deep investigations, their services-first approach to business email compromise, and how specialized digital forensics may differentially accelerate defensive AI capabilities. Use the Granola Recipe Nathan relies on to identify blind spots across conversations, AI research, and decisions: https://bit.ly/granolablindspot Sponsors: GovAI: GovAI was founded ten years ago on the belief that AI would end up transforming our world. Ten years later, the organization is at the forefront of trying to help decision-makers in government and industry navigate the transition to advanced AI.  GovAI is now hiring Research Scholars (one-year positions for those transitioning into AI policy) and Research Fellows (longer-term roles for experienced researchers). Both roles offer significant freedom to pursue policy research, advise decision-makers, or launch new initiatives. Applications close 15 February 2026. Apply at: https://www.governance.ai/opportunities Blitzy: Blitzy is the autonomous code generation platform that ingests millions of lines of code to accelerate enterprise software development by up to 5x with premium, spec-driven output. Schedule a strategy session with their AI solutions consultants at https://blitzy.com Serval: Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week four at https://serval.com/cognitive Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai CHAPTERS: (00:00) About the Episode (04:20) Defining AGI and jaggedness (12:27) Modern cyber threat landscape (Part 1) (19:10) Sponsors: GovAI | Blitzy (22:17) Modern cyber threat landscape (Part 2) (29:58) AI-powered cyber defense (Part 1) (33:31) Sponsors: Serval | Tasklet (36:20) AI-powered cyber defense (Part 2) (42:20) Inside digital forensics workflows (51:52) Bootstrapping AI cyber defense (59:17) Shaping the capability frontier (01:08:44) Future of automated forensics (01:17:59) Outro PRODUCED BY: https://aipodcast.ing

In this episode, we sit down with Daniel Boyce from Digimatiq Marketing to talk about future-proofing your oral surgery practice. The digital landscape is shifting fast, but the goal isn't to replace your team with robots—it's to use artificial intelligence to handle the mundane, repetitive tasks that drain your energy. Daniel explains how to bridge the gap between technical efficiency and authentic patient care. Key Concepts for the Modern Practice Agile Practice Management: Building a workflow that can adapt to digital changes within 24 to 48 hours is the best way to "future-proof." AI for Busy Work, Humans for Moments: Use LLMs (Large Language Models) like ChatGPT and Gemini for drafting, transcribing, and routing. This frees your staff to focus on "empathy moments"—like high-stakes treatment plan conversations or direct patient support. Generative Engine Optimization (GEO): Search is moving away from simple keywords. Patients are asking complex, natural-language questions, and your practice needs to provide "clusters" of expert information to be quoted by AI search engines. Personifying the Surgeon: Learn how a simple two-minute voice memo from your doctor can be transformed into a blog or FAQ that showcases their bedside manner before the patient even walks in the door. Referral Relationship Management: Discover how to use AI to track and summarize CE events, allowing for hyper-personalized follow-ups that turn "C" level referrers into "A" level partners. Reclaiming Your Time Whether it's saving an hour on meeting recaps or automating clinical notes and SOAP notes, the secret lies in finding the right tool for the specific job. By letting AI act as a "brilliant mime" for your admin tasks, you can lead with the authenticity and innovation that define SOMSA's core values.

Aaron Schumm, CEO and Founder of Vestwell, knows firsthand how broken America's savings system is. When he tried to set up a 401k for his previous 30-person company back in 2010, the process was so difficult, expensive, and confusing that he decided to build a better solution. Today, Vestwell serves 2 million savers with $50 billion in assets, has reduced 401k setup times from 40-70 hours down to just minutes, and runs 14 state-sponsored auto IRA programs including New York's Secure Choice.In this episode, Aaron explains why fintech has largely failed to move the needle on financial health, too many point solutions that put the onus back on individuals to figure out what to do and then implement it across multiple accounts. His solution? AI agents that will automatically route money from your paycheck to the optimal savings vehicle based on your income, location, tax rates, existing savings, and life circumstances. And he says we're less than a year away from making that a reality.In this podcast you will learn:What is broken with the current savings system in America.The problem at his previous business that was the a-ha moment for Vestwell.Their initial use case and how they got going.How their product works exactly.The three channels they work with.How they are working with New York State and other government programs.The conversations they are having with the Federal government around savings programs.The percentage of employees who typically sign up for an auto-enroll program.The scale that Vestwell is at today.What their technology stack looks like.How much easier it is to set up a workplace savings plan through Vestwell than traditional companies.The different revenue lines for Vestwell.How they are working with Amazon.Why we are not further along in helping Americans with their financial health.How autonomous AI agents are going to optimize our financial lives in the future.Connect with Fintech One-on-One: Tweet me @PeterRenton Connect with me on LinkedIn Find previous Fintech One-on-One episodes

What powers the infrastructure behind your favorite Web3 protocols? In this episode, I chat with Simon from Keeper Hub—an open-source platform that automates smart contract workflows and monitors wallets. We dive deep into the invisible backbone of crypto: DevOps. From saving 30% in gas fees to building AI-driven automations, Simon shares how Keeper Hub is quietly revolutionizing how developers build in Web3. If you've ever overlooked DevOps, this episode will change your mind.⏱️ Key Takeaways with Timestamps[00:41] Simon's journey from Linux tinkerer to DevOps in crypto[03:58] Origin of Keeper Hub from MakerDAO days[06:03] What Keeper Hub actually does: automation and monitoring[07:37] Real-world savings: 30% gas fee optimization[09:14] AI's impact on the developer landscape[13:03] Why DevOps is the invisible hero in Web3[17:16] Biggest misconception about DevOps[19:03] Workflows in Keeper Hub: "Zapier for Web3"[22:15] Spotlight on Tempo and the stablecoin narrative[25:00] Could 402X standards replace Stripe?[27:35] AI trends to watch in 2026[30:33] Why community is key in crypto[34:10] Keeper Hub's roadmap and how you can get involvedConnect with KeeperHubWebsite: https://keeperhub.com/Platform: https://app.keeperhub.com/YouTube:  https://www.youtube.com/@KeeperHubX (Twitter):  https://x.com/KeeperHubAppGitHub:  https://github.com/techops-services/keeperhubDiscord: https://discord.gg/G2sbPd46Rs⚠️ DisclaimerNothing mentioned in this podcast is investment advice and please do your own research.It would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.Be a guest on the podcast or contact us - https://www.web3pod.xyz/

Building better foundations isn't about chasing the newest framework, tool, or trend. Instead, it's about reinforcing the fundamentals that consistently support good software, healthy teams, and sustainable businesses. This episode closes out the Building Better Foundations series by stepping back and asking a practical question: are we still doing the things that matter most? Foundations rarely feel urgent. Because they're repetitive and often invisible, they're easy to deprioritize when deadlines tighten. However, when quality drops, focus slips, or growth stalls, the root cause is almost always the same—the foundations weren't maintained. Why Building Better Foundations Start With "Why" At the core of every strong foundation is clarity. Why does this work matter? Why does this business exist? Why are you building this product at all? Without clear answers, priorities blur and effort becomes reactive. As a result, teams stay busy without making meaningful progress. Re-centering on purpose provides a filter for decisions, helping teams choose what not to do just as much as what to pursue. The same principle applies to software and business. When purpose is clear, design decisions improve, roadmaps stabilize, and trade-offs become easier to justify. Building Better Foundations and Process Before Tools Tools are tempting—especially automation and AI. However, tools don't fix broken processes; they amplify them. If the underlying workflow is unclear or inefficient, adding technology only creates faster chaos. For that reason, building better foundations requires understanding the process first and then deciding where tools truly add value. This approach helps teams avoid constant tool churn and keeps attention focused on outcomes rather than novelty. Process Before Automation Clarify and stabilize workflows before introducing AI or automation Automating broken processes increases complexity, not productivity Building Better Foundations in Daily Developer Work Foundations show up in everyday habits. For example, designing before coding, writing meaningful comments, and committing code with intent all contribute to long-term stability. Although these practices may feel optional under pressure, they're what make systems maintainable and resilient. Skipping them might save minutes today, but it usually costs hours later. Over time, consistency in these habits separates fragile codebases from durable ones. Building Better Foundations for Business Growth For independent developers, consultants, and leaders, building better foundations also means working on the business—not just in it. While billable work feels productive, it doesn't scale by itself. Sustainable growth requires time spent on branding, marketing, process improvement, and planning. Although this work is often non-billable, it directly supports future stability. Working On vs. In the Business Non-billable work creates long-term opportunity Small, consistent investments compound over time Building Better Foundations and Focused Execution Distraction is one of the biggest threats to strong foundations. New ideas, side projects, and constant context switching quietly erode momentum. Focused execution means regularly checking whether current work aligns with real priorities. Short work cycles, clear goals, and intentional pauses help prevent drift and keep effort aligned. Foundation Checkpoint Are today's tasks aligned with your core goals? What can be deferred, simplified, or removed? Using AI to Strengthen Building Better Foundations AI can be a powerful accelerator when used intentionally. In practice, the most effective use cases target repetitive, low-value work and free up time for higher-impact thinking. Used thoughtfully, AI reinforces better foundations by supporting focus and experimentation. On the other hand, used carelessly, it becomes just another source of noise. Resetting Your Year With Building Better Foundations As this series wraps up, the takeaway is straightforward: revisit your foundations. Write down your goals. Clarify your priorities. Then build a roadmap and commit to it. Ultimately, building better foundations isn't a one-time effort. It's an ongoing discipline that enables growth, resilience, and adaptability. If you want better outcomes this year, start by strengthening what everything else depends on. Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Finding A Mentor – Creating a Solid Foundation Strong Foundations Start with Strong Requirements Building And Reinforcing Your Foundational Skills Building Better Foundations Podcast Videos – With Bonus Content

In this episode of Pathmonk Presents, we welcome Katherine Campbell, CMO of Shape. Katherine introduces Shape's all-in-one sales and marketing solution, designed to simplify complex CRM processes for businesses of all sizes. She discusses how Shape addresses the challenges of limited marketing budgets and time constraints, enabling businesses to effectively reach their target audience. Katherine shares insights on Shape's expansion into various industries, their customer acquisition strategies, and the crucial role of website optimization in lead conversion. She also offers valuable advice for marketers on continuous learning and adapting to rapidly evolving technologies.

Meet Jim Brusseau, VP of Sales and Marketing at PAR Excellence, a company that automates inventory management for modern healthcare. Jim shares how PAR Excellence helps hospitals reduce labor dependence, improve order accuracy, and lower inventory levels without compromising availability. He also discusses the importance of referrals, digital marketing, and building a strong team culture in the healthcare industry.

HBX Group sits in the middle of one of the most complex customer service chains in travel. A single issue can span a traveller, a travel agent, a global booking platform and a hotel on the other side of the world.In this episode, we explore how HBX Group is leveraging artificial intelligence to transform its global customer service operations with Xavier Godoy Moya, Customer Experience & Automation Director, and Adam Tinsley, Global Customer Service Director.We break down how HBX uses AI-driven classification to triage hundreds of thousands of monthly cases across voice, chat, email and ticketing systems. The team explains how generative models replaced traditional intent-matching systems, enabling accurate routing across more than 70 case types while supporting deterministic safeguards required at operational scale.Adam and Xavier share results across several key use cases, including an AI classification system that accurately categorises customer inquiries into 70 different intents, automated handling of common requests such as booking confirmations and cancellations, and an innovative workflow that can automatically communicate with hotels on behalf of agents. Their real-time translation solution has enabled 24/7 service across 13 languages, dramatically expanding their global support capabilities.We also discuss their approach to agent training, which includes an AI simulation system that lets new staff practice handling customer conversations at varying levels of difficulty before taking real calls.The episode closes with measured business outcomes, including faster case resolution, growing automation rates, operational insights unlocked through AI-native reporting and the next wave of experimentation around sentiment-aware routing and more adaptive voice experiences.Show notesFind out more about HBX Group: https://www.hbxgroup.comFollow Kane Simms on LinkedIn: https://www.linkedin.com/in/kanesimmsDownload our exclusive report on how AI agents keep CX stable when volume explodes: https://vux.world/how-ai-agents-keep-cx-stable-when-volume-explodes/?utm_source=podcast&utm_campaign=SurgeHappensTake our updated AI Maturity Assessment: https://vuxworld.typeform.com/to/a26bf9Rr?utm_source=podcast&utm_medium=audio&utm_campaign=vuxconsulting25Subscribe to VUX World: https://vuxworld.typeform.com/to/Qlo5aaeWSubscribe to The AI Ultimatum Substack: https://open.substack.com/pub/kanesimms Hosted on Acast. See acast.com/privacy for more information.

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#762 If hiring feels like a never-ending headache, this episode could change everything! Today, Brien Gearin sits down with Brandon Vaughn, founder of Wise Coatings and HireBus, to uncover how he scaled a garage floor coating company from zero to 39 locations in just four years — and why the pain of hiring led him to create one of the most innovative recruiting platforms in the home services industry. Brandon shares how HireBus uses AI agents to write job ads, assess candidates, and automatically schedule top-tier interviews, saving business owners 25+ hours per hire. They break down how great hiring is really a marketing problem, why most job postings fail to attract quality people, and how shifting your focus from “how” to “who” can unlock massive growth. If you want to build a dream team, reduce turnover, and free yourself from the hiring hamster wheel, this episode is a must-listen! (Original Air Date - 6/2/25) What we discuss with Brandon: + Scaling Wise Coatings to 39 locations + Why hiring is a marketing problem + Using AI agents to screen candidates + Writing job ads that attract talent + Always-on recruiting strategy + Behavioral assessments for better hires + Building a waitlist of technicians + Automating the hiring funnel + Importance of speed to lead + Creating a strong employer brand Thank you, Brandon! Check out HireBus at ⁠HireBus.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

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Editor's note: Welcome to our new AI for Science pod, with your new hosts RJ and Brandon! See the writeup on Latent.Space (https://Latent.Space) for more details on why we're launching 2 new pods this year. RJ Honicky is a co-founder and CTO at MiraOmics (https://miraomics.bio/), building AI models and services for single cell, spatial transcriptomics and pathology slide analysis. Brandon Anderson builds AI systems for RNA drug discovery at Atomic AI (https://atomic.ai). Anything said on this podcast is his personal take — not Atomic's.—From building molecular dynamics simulations at the University of Washington to red-teaming GPT-4 for chemistry applications and co-founding Future House (a focused research organization) and Edison Scientific (a venture-backed startup automating science at scale)—Andrew White has spent the last five years living through the full arc of AI's transformation of scientific discovery, from ChemCrow (the first Chemistry LLM agent) triggering White House briefings and three-letter agency meetings, to shipping Kosmos, an end-to-end autonomous research system that generates hypotheses, runs experiments, analyzes data, and updates its world model to accelerate the scientific method itself.* The ChemCrow story: GPT-4 + React + cloud lab automation, released March 2023, set off a storm of anxiety about AI-accelerated bioweapons/chemical weapons, led to a White House briefing (Jake Sullivan presented the paper to the president in a 30-minute block), and meetings with three-letter agencies asking “how does this change breakout time for nuclear weapons research?”* Why scientific taste is the frontier: RLHF on hypotheses didn't work (humans pay attention to tone, actionability, and specific facts, not “if this hypothesis is true/false, how does it change the world?”), so they shifted to end-to-end feedback loops where humans click/download discoveries and that signal rolls up to hypothesis quality* Cosmos: the full scientific agent with a world model (distilled memory system, like a Git repo for scientific knowledge) that iterates on hypotheses via literature search, data analysis, and experiment design—built by Ludo after weeks of failed attempts, the breakthrough was putting data analysis in the loop (literature alone didn't work)* Why molecular dynamics and DFT are overrated: “MD and DFT have consumed an enormous number of PhDs at the altar of beautiful simulation, but they don't model the world correctly—you simulate water at 330 Kelvin to get room temperature, you overfit to validation data with GGA/B3LYP functionals, and real catalysts (grain boundaries, dopants) are too complicated for DFT”* The AlphaFold vs. DE Shaw Research counterfactual: DE Shaw built custom silicon, taped out chips with MD algorithms burned in, ran MD at massive scale in a special room in Times Square, and David Shaw flew in by helicopter to present—Andrew thought protein folding would require special machines to fold one protein per day, then AlphaFold solved it in Google Colab on a desktop GPU* The E3 Zero reward hacking saga: trained a model to generate molecules with specific atom counts (verifiable reward), but it kept exploiting loopholes, then a Nature paper came out that year proving six-nitrogen compounds are possible under extreme conditions, then it started adding nitrogen gas (purchasable, doesn't participate in reactions), then acid-base chemistry to move one atom, and Andrew ended up “building a ridiculous catalog of purchasable compounds in a Bloom filter” to close the loopAndrew White* FutureHouse: http://futurehouse.org/* Edison Scientific: http://edisonscientific.com/* X: https://x.com/andrewwhite01* Cosmos paper: https://futurediscovery.org/cosmosFull Video EpisodeTimestamps00:00:00 Introduction: Andrew White on Automating Science with Future House and Edison Scientific00:02:22 The Academic to Startup Journey: Red Teaming GPT-4 and the ChemCrow Paper00:11:35 Future House Origins: The FRO Model and Mission to Automate Science00:12:32 Resigning Tenure: Why Leave Academia for AI Science00:15:54 What Does ‘Automating Science' Actually Mean?00:17:30 The Lab-in-the-Loop Bottleneck: Why Intelligence Isn't Enough00:18:39 Scientific Taste and Human Preferences: The 52% Agreement Problem00:20:05 Paper QA, Robin, and the Road to Cosmos00:21:57 World Models as Scientific Memory: The GitHub Analogy00:40:20 The Bitter Lesson for Biology: Why Molecular Dynamics and DFT Are Overrated00:43:22 AlphaFold's Shock: When First Principles Lost to Machine Learning00:46:25 Enumeration and Filtration: How AI Scientists Generate Hypotheses00:48:15 CBRN Safety and Dual-Use AI: Lessons from Red Teaming01:00:40 The Future of Chemistry is Language: Multimodal Debate01:08:15 Ether Zero: The Hilarious Reward Hacking Adventures01:10:12 Will Scientists Be Displaced? Jevons Paradox and Infinite Discovery01:13:46 Cosmos in Practice: Open Access and Enterprise Partnerships Get full access to Latent.Space at www.latent.space/subscribe

Principal Security Consultant and community favorite Jake Hildreth returns to The PowerShell Podcast to talk about building smarter automation, leveling up through community, and creating tools that solve real problems. Andrew shares his “stop trying so hard” theme for the year, how working smarter applies directly to scripting and security, and why getting involved with others is one of the fastest ways to grow in your career. The conversation dives into Jake's recent projects including Deck, a Markdown-to-terminal presentation tool built on Spectre.Console, and Stepper, a resumable scripting framework designed for long-running workflows that can't be fully automated end-to-end. They also explore presentation skills, avoiding “death by PowerPoint,” and why security work requires constantly re-checking assumptions as threats evolve.   Key Takeaways: • Work smarter, not harder — Whether you're scripting or building a career, small sustainable improvements beat grinding yourself into a corner. • Resumable automation is a game changer — Stepper helps scripts safely pause and resume, making real-world workflows more reliable when humans or flaky APIs are part of the loop. • Community turns into real momentum — Contributing, asking questions, and sharing feedback builds skills, friendships, and opportunities faster than trying to learn alone.   Guest Bio: Jake Hildreth is a Principal Security Consultant at Semperis, Microsoft MVP, and longtime builder of tools that make identity security suck a little less. With nearly 25 years in IT (and the battle scars to prove it), he specializes in helping orgs secure Active Directory and survive the baroque disaster that is Active Directory Certificate Services. He's the creator of Locksmith, Stepper, Deck, BlueTuxedo, and PowerPUG!, open-source tools built to make life easier for overworked identity admins. When he's not untangling Kerberos or wrangling DNS, he's usually hanging out with his favorite people and most grounding reality check: his wife and daughter.   Resource Links: • Jake Hildreth's Website – https://jakehildreth.com • Jake's GitHub - https://github.com/jakehildreth Andrew's Links - https://andrewpla.tech/links • PowerShell Spectre Console – https://pwshspectreconsole.com/ • PDQ Discord – https://discord.gg/PDQ • PowerShell Conference Europe – https://psconf.eu • PowerShell + DevOps Global Summit – https://powershellsummit.org • Jake's PowerShell Wednesday – https://www.youtube.com/watch?v=YdV6Qecn9v0 The PowerShell Podcast on YouTube: https://youtu.be/rFeoTKLerkA  

Host: Annik Sobing Guest: Jordan Welke Published: January 26, 2026 Length: ~30 minutes Presented by: Global Training Center ACE Up Your Trade Game: Modernizing Family Logistics This week on Simply Trade, host Annik Sobing chats with Jordan Welke, next-generation leader of Welke Customs Brokers & International Freight Forwarders, about evolving a family-owned logistics firm in a changing trade landscape. From rented desks symbolizing rapid 2025 growth to blending old-school service with cutting-edge tech, Jordan shares how Welke transformed challenges into expansion. Whether you're scaling a brokerage, managing hybrid teams, or navigating tariffs, this episode reveals strategies for staying nimble, compliant, and people-focused amid industry shifts.​ What You'll Learn in This Episode: Origins of Welke: Founded in 1985 from a basement brokerage to North America's magazine specialist 2025 breakout: Two new U.S. offices, 10 hires, NV OCC licensing for freight forwarding Hybrid culture: Three office days, flying teams for unity despite remote options Tech-service blend: Automating data entry to free staff for concierge client care Growth drivers: Capturing clients from acquired competitors, handling supply chain chaos Branding edge: Fun website vibes (shipping container dreams) driving inbound leads Leadership scaling: Empower divisional managers while communicating 5-year vision company-wide Adapting to pitfalls: Nimble mindset, owning mistakes, constant education like CVSA exams Future-proofing: Compliance tech, agency feeds, and hiring hustlers for U.S. sales​ Tips for Getting Started: Honor roots: Pair personalized service with AI for mundane tasks—keep humans on exceptions. Build online presence: SEO-optimize with personality to stand out in searches. Scale smart: Hire/promote leaders per office, share vision to preserve "mom-and-pop" feel. Stay adaptable: Embrace failure as learning; invest in team training amid tariffs/strikes. Respond fast: Answer crisis calls instantly—turn disruptions into loyalty wins.​ Key Takeaways: Welke proves family businesses thrive by modernizing without losing heart—40 profitable years into 2026 growth. Tech enhances, doesn't replace, expert people in complex trade. Nimbleness, culture, and quick service capture market share as boomers retire and chaos rises. Data-driven branding and automation build credibility for enterprise plays.​ Resources & Mentions: Jordan Welke: Connect on LinkedIn (search Welke Customs Brokers) Welke Customs Brokers: www.welke.com — Customs brokerage, freight forwarding, 3PL across North America Hiring: U.S. freight/customs sales roles open—DM Jordan for culture-fit hustlers Industry context: Tariffs, CARM, supply disruptions boosting demand for agile partners​ Credits Host: Annik Sobing Guest: Jordan Welk Producer: Annik Sobing      Subscribe & Follow New episodes weekly! Presented by: Global Training Center

In this episode, host Josh interviews Ryan Deiss, founder of DigitalMarketer, about the smartest way for entrepreneurs to hire their first employees. Ryan explains why business owners should avoid hiring assistants for minor tasks and instead recruit experienced professionals who can fully own critical business functions. He discusses overcoming fears around big hires, financial considerations, and the importance of mapping out your value creation process. Ryan also shares strategies for systematizing operations and building a team that enables real growth and freedom, rather than creating more management headaches.Chapters:Introduction to Ryan Deiss and Episode Overview (00:00:00)Host introduces Ryan Deiss, his background, and the episode's focus on business operating systems and hiring.Common Mistakes in First Hires (00:02:12)Ryan explains what not to do when hiring your first employee, warning against hiring assistants for minor tasks.The "Genius with a Thousand Helpers" Trap (00:02:56)Discussion on why hiring helpers instead of professionals leads to more management and less freedom.Hiring Professionals to Own Critical Functions (00:03:46)Advice to map value creation, identify weak spots, and hire experienced professionals to own those areas.Overcoming Fear and Financial Concerns in Big Hires (00:04:37)Ryan addresses the fear and financial hesitation of hiring high-level employees and how to mitigate it.Cost Comparison: Professionals vs. Multiple Helpers (00:06:14)Breakdown of the financial and operational impact of hiring one pro versus several lower-level helpers.The Real Cost of Ineffective Hiring (00:07:48)Explains the long-term frustration and wasted resources from hiring multiple helpers instead of a pro.Path to Entrepreneurial Freedom (00:09:18)Ryan outlines the goal: remove yourself from all value creation steps by hiring pros for each function.Debunking the "Learn It Before You Hire It" Myth (00:10:13)Ryan refutes the idea that founders must master a function before hiring an expert for it.Three Actionable Takeaways (00:11:39)Host summarizes key actions: value creation mapping, overcoming imposter syndrome for big hires, and automating processes.Closing and Where to Learn More (00:13:31)Ryan shares where listeners can learn more about his programs and communities.Links and Mentions:Tools and Websites  Founders BoardKey Takeaways  Value Creation Mapping: "00:11:58"  Overcoming Imposter Syndrome: 00:12:59  Automating the Value Creation Process: 00:13:28Transcript:Josh 00:00:00  Today I'm super excited to introduce to you Ryan Deiss. Ryan is the founder and the CEO of The Scalable Company Digital Marketer, and a founding partner at Scalable Equity, LLC, a venture equity accelerator that builds and acquires B2B media and software brands. He is a bestselling author, founder of multiple companies, collectively employing hundreds around the globe, and one of the most dynamic speakers on business operating systems in the United States today. So welcome to the podcast, Ryan.Ryan 00:00:32  Thanks for having me. It is not difficult to be among the most dynamic speakers about business operating systems, because most people would consider that to be like watching paint dry. But I think it's I think it's pretty sexy stuff, so I appreciate that.Josh 00:00:47  Hey, and I agree as well. Typically it is, it is one of those topics that most people, I think tend to avoid, right? If you go to a conference and you're like, which one should I go to? I think the shiny object is always like the newest marketing hack, right? Or like social media? and with your experience obviously running Digital Marketer, you're you're well versed in that.Josh 00:01:09  And I think you could argue you're one of the most well-versed in digital marketing itself. But today we're going to be talking all about business operating systems. So how do you know who should be your first hire? Right. is it kind of going along that customer journey, so to speak, or your value journey that we're talking about here? And is it identifying, you know, hey, actually our secret sauce is in product innovation, right? Like that's our secret sauce. That's where it seems like we're bringing a lot of value, especially on Amazon. Right. You talk about, you know, bringing traffic. It's like well Amazon's brought traffic to you. Plus they have the fulfillment engine. So like they've tackled two big levers for a lot of people right. so if you identify like, hey, we're really good at product innovation or something like that, Does that mean, hey, I should first hire out that product innovation? Or do I need to figure out a product? Do I need to hire a project manager? Or is it an executive assistant? Like, how do you go through the process of deciding who to hire first and why?Ryan 00:02:12  So let me answer the question by telling you what not to do.Ryan 00:02:14  And then I'll come back around and give a more explicit answer. So what most people do, and it's not what you should do, is they go around and they look at all the stuff that needs to get done, right. And it's their name in all the boxes. And so what they say is, okay, I need to get somebody to help me with all of the little things so that I have more time to do these quote unquote important things. Right? So I need to hire, you know, a virtual assistant to help, like, answer my email and to deal with my scheduling. And, you know, I need to hire somebody else over here to, you know, respond to this and take care of that. And, you know, in this particular step, if I, if I just had somebody to help me do some of the pieces of this, you know, then, you know, then then I could be more efficient. And what we're doing when we do that is.Ryan 00:02:56  And the reason that's not what you do is you're what is known as the genius with a thousand helpers. Okay. And so you're not actually creating any additional space and freedom for yourself. You're just adding the management of other people and the tasking out of other people to your already cluttered to do list. And that's why it doesn't work. And that's why ultimately these people wind up failing and we're like, oh, they suck. And they were supposed to help me. And they're supposed to take time off. And they're not. They're just asking me all these questions. I don't have time to answer all these questions. Right. It's because we didn't hire someone to own a critical aspect of the value creation process. We hired somebody to help us continue to own that process. So what I would encourage you to do is look at the value creation flow and to say, what are the critical tasks and processes that I don't like. And I'm not particularly good at, but I'm currently being forced to do okay.Ryan 00:03:46  So it's incredibly critical. It's incredibly important. But you don't necessarily like doing it and and you don't necessarily. You're not necessarily the best in the world at it. So let's say again, you know, you're running an e-commerce business and you really love the product side of things. You love the innovation and the sourcing. you love, you know, thinking about the packaging and the positioning, but you're getting the bulk of your traffic, let's say, from, you know, Pinterest and Instagram. And really, you don't geek out that much on Pinterest and Instagram, but you're good enough at it, right? So what people would say is like, I guess I'm gonna get somebody to help with photography and maybe somebody can write some of the descriptions and do a littl...

In this episode of This New Way, Aydin sits down with Hai Nghiem from AGI Ventures Canada to explore how Claude Code is changing the way teams build software, automate workflows, and even run go-to-market operations—without requiring everyone to be a developer.Hai walks through real, hands-on examples of using Claude Code as a terminal-based AI agent to qualify inbound leads, generate follow-up emails and statements of work, manage internal context with skills and sub-agents, and even automate browser-based tasks like filling out applications. The conversation dives deep into go-to-market engineering, context engineering, and why skills are becoming one of the most powerful primitives for scaling AI across an organization.If you're curious how non-technical teams can start using agents today—or how technical teams can dramatically compress GTM and sales workflows—this episode is a must-listen.Key Timestamps00:00 - Intro00:08.334 – “What's the killer AI product everyone should be using?”00:25.582 – Hai introduces Claude Code and why it's blowing up01:10.900 – Claude Code as an agent running in your terminal01:45.600 – Go-to-market engineering and reducing SDR teams02:10.222 – Industry trend: shrinking sales teams with AI agents03:45.976 – Claude Code vs Cursor for coding workflows04:32.100 – Writing 90% of production code with AI (safely)05:45.300 – Non-coding automation with Claude Code, Zapier, and n8n06:01.645 – What AGI Ventures Canada does06:45.900 – AI Tinkers community and the origins of AGI Ventures07:38.958 – Automating inbound lead qualification08:50.839 – Live role play: discovery call walkthrough09:12.607 – Using Notion as a live note-taker and context store10:03.350 – Example GTM automation use cases at Fellow11:52.973 – Running Claude Code with “dangerously skip permissions”13:07.050 – Sub-agents vs skills explained16:40.851 – What Claude “skills” actually are17:15.359 – Email writer skill walkthrough20:19.750 – Auto-updating skills from real GTM learnings22:19.592 – How Claude pulls context from Notion automatically25:42.632 – Generating follow-up emails using skills30:08.595 – Generating Statements of Work with scripts31:35.478 – Browser automation with the Claude Chrome extension32:16.870 – Auto-filling applications using personal skills34:56.562 – AI-powered Discord bot for community support37:18.114 – Live fact-checking inside Discord38:09.159 – How to contact AGI VenturesTools & Technologies MentionedClaude (Anthropic)An AI assistant positioned as a business-focused alternative to ChatGPT.Claude CodeA terminal-based AI agent that can write code, automate workflows, manage files, and interact with browsers—used heavily for GTM and internal automation.Claude SkillsLightweight, reusable instruction sets that teach Claude how to perform specific tasks (e.g., writing sales emails) without permanently consuming context.Claude Sub-agentsDelegated agents used to manage context and offload complex tasks without bloating the main agent's context window.NotionUsed as a lightweight CRM, document store, and central source of truth for agent context.DiscordPrimary internal and community communication platform, integrated with AI bots for automated responses.Chrome Automation (Claude Extension)Allows Claude Code to control the browser and complete web-based tasks like filling out forms.ZapierNo-code automation tool for connecting apps and workflows.n8nOpen-source workflow automation tool often used for advanced AI and agent pipelines.GPT Models (OpenAI)Currently used in AGI Ventures' Discord bot, with plans to migrate to Claude models.Contact Hai:agiventures.cahai@agiventures.cahttps://ca.linkedin.com/in/haiphunghiemSubscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

This Week In Startups is made possible by:Northwest Registered Agent - www.northwestregisteredagent.com/twistCrusoe Cloud - https://crusoe.ai/savingsLinkedIn Jobs - http://linkedIn.com/twistToday's show: On today's TWIST episode, Alex interviews two of the top startup co-founders: Keller Cliffton of Zipline and Anastasis Germanidis of Runway. Zipline announced its $600 million raise at a $7.6 BILLION valuation. Kellers breaks down the origins, economics, and future of Zipline's contrarian bet in drone delivery. What was science fiction a decade ago is now a regular part of life for many. In fact, Zipline operates more flights than United!Zipline is set to leapfrog the car delivery apps AND self driving cars with the superior economics of drone delivery. It is much cheaper to transport your burrito in a lightweight drone than a 6,000 pound self driving car!Then, Alex is joined by Anastasis Germanidis, the CTO and co-founder of Runway, to explain why the next frontier of generative AI is world models! Runway  is looking to build a universal simulation, which will unlock massive gains in robotics, autonomy, and simulations. The world model would be able to simulate rare edge cases that could take years to find naturally! Check out how this cutting edge AI startup's NYU Tisch School of Art's originsThen, See Jason's answer to the question: “When should founders pivot or give up?”Timestamps: (00:00) The Drone revolution is here!(02:46) Inside Zipline's factory to build 20K drones a year(04:40) American dynamism Vs. Chinese manufacturing dominance(09:00) How Zipline is growing 75% month on month(9:50) Northwest Registered Agent. Get more when you start your business with Northwest. In 10 clicks and 10 minutes, you can form your company and walk away with a real business identity —  Learn more at www.northwestregisteredagent.com/twist(11:15) Zipline teleports food and goods to your house(21:54) Crusoe Cloud: Crusoe is the AI factory company. Reliable infrastructure and expert support. Visit https://crusoe.ai/savings to reserve your capacity for the latest GPUs today.(23:02) Is it affordable to use a drone to deliver a burrito?(29:18) Zipline DOUBLES United's flight numbers(31:11) LinkedIn Jobs - post your job for free at http://linkedIn.com/twist then promote it to get access to LinkedIn Jobs new AI assistant.(32:21) Anastasis break's down Runway's AI modeling(35:24) Runway's Gen 4.5 and the world model(40:57) Why do robotics companies need a world model?(43:04) Using AI to simulate robot laundry folding(52:37) Runway's origins at NYU's art school(55:46) Founder Q/A: When to pivot or give up on your startup*Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com/Check out the TWIST500: https://twist500.com)Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp*Follow Lon:X: https://x.com/lons*Follow Alex:X: https://x.com/alexLinkedIn: https://www.linkedin.com/in/alexwilhelm/*Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanis/*Thank you to our partners:(9:50) Northwest Registered Agent. Get more when you start your business with Northwest. In 10 clicks and 10 minutes, you can form your company and walk away with a real business identity —  Learn more at www.northwestregisteredagent.com/twist(21:54) Crusoe Cloud: Crusoe is the AI factory company. Reliable infrastructure and expert support. Visit https://crusoe.ai/savings to reserve your capacity for the latest GPUs today.(31:11) LinkedIn Jobs - post your job for free at http://linkedIn.com/twist then promote it to get access to LinkedIn Jobs new AI assistant.Check out all our partner offers: https://partners.launch.co/

Imagine making money while relaxing on a beach in Greece, not because you're a crypto genius, but because you own metal boxes on a dirt lot. That is the reality for Bree Hartman, a former personal trainer who traded "trading time for dollars" for the high-margin world of Self-Storage Investing.In this episode of UpFlip, Bree breaks down how she built a portfolio of over 100,000 sq ft of storage space. She explains why self-storage crushes residential real estate (lower expenses, no evicting families) and how to find "Mom and Pop" owners who still run their multi-million dollar businesses on yellow notepads.In this episode, you'll learn:The Golden Mantra: Why "No Toilets, No Tenants, No Employees" makes storage the ultimate lifestyle business.The 35% Rule: Understanding why storage has a 35% expense ratio compared to 55%+ for multifamily real estate.The "Market Rule of Fives": Bree's exact criteria for picking a winning location (Population 5k-120k, median income $50k+, etc.).Google Maps Sourcing: How to find off-market deals for free by simply scrolling through Maps and looking for facilities with no websites.The "Yellow Pad" Opportunity: Why targeting unsophisticated Mom & Pop owners allows you to force appreciation instantly by adding basic tech.The Cold Call Script: The exact, non-salesy lines Bree uses to get owners to say "Yes" to selling their business.Seller Financing Structure: How Bree bought a $500k facility with only 15% down and pays the owner monthly—skipping the bank entirely.Remote Management Tech: The software stack (Easy Storage Solutions, Gate Codes) that allows full automation without onsite employees.The 92% Occupancy Sweet Spot: Why being 100% full is actually a bad thing and a sign you are undercharging.Wholesaling for Cash: How to start with $0 by putting a facility under contract and selling the rights for a $100k fee.Tags: Business Buying, Entrepreneurship, Real Estate, Passive Income, Breanne Hartman, Seller Financing, Self Storage BusinessTimestamps(00:00) Intro: From Personal Trainer to Storage Empire(02:40) The Numbers: $41k/Month & Profit Margins(04:30) Why Storage Beats Residential Rentals(08:20) Targeting "Yellow Pad" Mom & Pop Owners(14:15) The "Market Rule of Fives" (Location Scouting)(17:50) Automating the Business with Tech(20:45) The Exact Cold Call Script to Buy Businesses(23:30) How to Structure Seller Financing Deals(28:30) The Fan Blitz: Red Flags & Best AdviceResources:Grow your mid-term rental business today:  https://www.upflip.com/course/the-mid-term-rental-blueprint Connect with Breanna: https://www.instagram.com/bree.theinvestor/?hl=en

With AI poised to generate nearly infinite content, personalization, and experiences, is the single most important thing marketers should be focused on actually something that can't be automated at all? Agility requires not just adopting new technologies, but knowing when and how to double down on timeless human principles. It's about integrating the power of AI without losing the soul of the brand. Today, we're going to talk about the unexpected paradox of the AI revolution. As artificial intelligence becomes more capable of creating, personalizing, and automating customer interactions at scale, the most critical differentiator for a business isn't a better algorithm, but a stronger, more trusted brand. We'll explore why brand is becoming the essential human edge in an increasingly automated world, and how leaders can harness AI not to replace their brand, but to amplify it. To help me discuss this topic, I'd like to welcome, Jessica Shapiro, Chief Marketing Officer at LiveRamp. About Jessica Shapiro Jessica Shapiro is Chief Marketing Officer at LiveRamp (NYSE: RAMP), where she leads global marketing strategy and execution. With deep experience guiding companies through critical growth inflection points, she is known for building brands, shaping categories, and aligning marketing with business strategy.Over the past two decades, Jessica has held senior marketing leadership roles at Microsoft, Starbucks, and SAP—helping established brands navigate change, scale new offerings, and grow in competitive markets. Her expertise spans brand development, go-to-market strategy, communications, and demand generation. Jessica holds a BA from Brown University and an MBA from the University of Washington.,Yes,This will be completed shortly Jessica Shapiro on LinkedIn: https://www.linkedin.com/in/jessicamshapiro/ Resources LiveRamp: https://liveramp.com/ The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/Drive your customers to new horizons at the premier retail event of the year for Retail and Brand marketers. Learn more at CRMC 2026, June 1-3. https://www.thecrmc.com/ Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://ratethispodcast.com/agileConnect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company