Podcasts about Zapier

During the upcoming OWASP Global AppSec EU in Barcelona, Spyros Gasteratos, long-time OWASP contributor and co-founder of Smithy, to explore how automation, collaboration, and community resources are shaping the future of application security. Spyros shares the foundation of his talk at OWASP AppSec Global: building a DevSecOps program from scratch using existing community tools—blending technical guidance with a celebration of open-source achievements.Spyros emphasizes that true progress in security stems not from an ever-growing stack of tools, but from aligning the humans behind them. According to him, security failures often stem from fragmented information and misaligned incentives across teams. His solution? Bring the teams together with a shared, streamlined flow of information and automate wherever possible to reduce wasted cycles and miscommunication.At the core of Spyros' philosophy is the need to turn AppSec from a blocker into a builder. Rather than overwhelming developers with endless bug reports, or security leaders with red dashboards, programs need to reflect the actual risk appetite of the business—prioritizing issues dynamically based on impact, timing, and operational goals. He challenges the one-size-fits-all approach, advocating instead for tagging systems that defer certain risks and encode organizational priorities in automation logic.A major part of that transformation lies in Smithy, the platform he's helping build. It's designed to be “Zapier for security”—an automation engine rooted in open-source standards that allows for custom workflows without creating a tangle of fragile scripts. The idea is to let teams focus on what's unique to them, while relying on battle-tested components for the rest.Looking ahead, Spyros doesn't buy into the doom-and-gloom narrative about AI limiting developer creativity. On the contrary, he argues that AI-enabled coding frees up cognitive space for better architecture and secure design thinking. In his view, creativity doesn't die—it just shifts from syntax to strategy.This episode is more than a discussion—it's a blueprint for how teams can rally around a common goal, and how OWASP's community can be the catalyst. Tune in to hear how open-source, automation, and human alignment are redefining AppSec from the ground up.GUEST: Spyros Gasteratos | OpenCRE co-lead and Founder of smithy.security | https://www.linkedin.com/in/spyr/HOST: Sean Martin, Co-Founder at ITSPmagazine and Host of Redefining CyberSecurity Podcast | https://www.seanmartin.comSPONSORSManicode Security: https://itspm.ag/manicode-security-7q8iRESOURCESSpyros' Session: A completely pluggable DevSecOps programme, for free, using community resources (https://owasp2025globalappseceu.sched.com/event/1whCB/a-completely-pluggable-devsecops-programme-for-free-using-community-resources)Learn more and catch more stories from OWASP Global AppSec EU 2025 Conference coverage: https://www.itspmagazine.com/owasp-global-appsec-barcelona-2025-application-security-event-coverage-in-catalunya-spainCatch all of our event coverage: https://www.itspmagazine.com/technology-and-cybersecurity-conference-coverageWant to tell your Brand Story Briefing as part of our event coverage? Learn More

AI and automation for solopreneurs is no longer optional—it's the secret weapon to scaling your business without stress or burnout. In this episode, we sit down with Andy Reinhold, founder of Studio Spark and former Deloitte consultant, who shares the exact frameworks, tools, and mindset shifts solopreneurs need to work smarter—not harder.If you're searching for ways to stop the constant grind, this conversation delivers what you've been looking for. Andy breaks down how to leverage AI tools for entrepreneurs and build systems that replace repetitive tasks, unlock time, and support your solopreneur productivity.He explains how to create automation in small business that streamlines marketing, sales, operations, and finance using tools like ChatGPT for business, Make.com vs Zapier, and Airtable—even if you're not technical. You'll learn how Andy turned his burnout into a blueprint and how you can do the same.This episode is for those wanting to:Escape burnout and entrepreneurship overwhelmBuild repeatable lead-gen or content systems that convertAlign your business with values like authenticity, freedom, and self-careScale with AI-powered workflows—not sleepless nightsPacked with real strategies and step-by-step examples, this conversation shows how to go from reactive to automated while still staying human.00:00 – Intro: Who is Andy Reinhold?01:15 – From Deloitte to burnout: his transformation story04:10 – How cancer & family loss reshaped his priorities06:30 – Why AI & automation became his new mission08:10 – The “No-Hustle Blueprint” explained10:45 – Tools that save time: ChatGPT, Make.com, Airtable13:00 – Learning AI as a non-technical solopreneur15:15 – Automating 90% of busy work (and staying human)17:20 – Creating content that converts with AI20:00 – Aligning your business with your values21:45 – How to connect with AndyTo check out the YouTube (video podcast), visit: https://www.youtube.com/@drchrisloomdphdDisclaimer: Not advice. Educational purposes only. Not an endorsement for or against. Results not vetted. Views of the guests do not represent those of the host or show.  Click here to join PodMatch (the "AirBNB" of Podcasting): https://www.joinpodmatch.com/drchrisloomdphdWe couldn't do it without the support of our listeners. To help support the show:CashApp- https://cash.app/$drchrisloomdphdVenmo- https://account.venmo.com/u/Chris-Loo-4Spotify- https://podcasters.spotify.com/pod/show/christopher-loo/supportBuy Me a Coffee- https://www.buymeacoffee.com/chrisJxClick here to schedule a 1-on-1 private coaching call: https://www.drchrisloomdphd.com/book-onlineClick here to check out our bookstore, e-courses, and workshops: https://www.drchrisloomdphd.com/shopClick here to purchase my books on Amazon: https://amzn.to/2PaQn4pFor audiobooks, visit: https://www.audible.com/author/Christopher-H-Loo-MD-PhD/B07WFKBG1FFollow our YouTube channel: https://www.youtube.com/chL1357Follow us on Twitter: https://www.twitter.com/drchrisloomdphdFollow us on Instagram: https://www.instagram.com/thereal_drchrislooFollow us on Threads: https://www.threads.net/@thereal_drchrislooFollow us on TikTok: https://www.tiktok.com/@drchrisloomddphdFollow our Blog: https://www.drchrisloomdphd.com/blogFollow the podcast on Spotify: https://open.spotify.com/show/3NkM6US7cjsiAYTBjWGdx6?si=1da9d0a17be14d18Subscribe to our Substack newsletter: https://substack.com/@drchrisloomdphd1Subscribe to our Medium newsletter: https://medium.com/@drchrisloomdphdSubscribe to our LinkedIn newsletter: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=6992935013231071233Subscribe to our email list: https://financial-freedom-podcast-with-dr-loo.kit.com/Thank you to all of our sponsors and advertisers that help support the show!Financial Freedom for Physicians, Copyright 2025

We've all heard the complaint: "Technology is supposed to make life easier, but it just makes everything more complicated!" Spoiler alert: it's not really the tech's fault. Josh and Will explore why technology feels overwhelming and share practical strategies for successful tech adoption. You'll discover why the "adoption curve" makes everything harder at first, the real culprits behind tech complexity (hint: bad implementation), and how small, intentional changes actually work. Plus, see a live  @Zapier demo showing how automation can simplify your workflow without any coding. Whether you're implementing new systems at work or just tired of tech frustrations, this episode has actionable insights for making technology work for you, not against you.For more on our conversation, check out the episode page ⁠⁠here⁠⁠.Want to build your business like we have? Join us over at Notion by ⁠signing up with our affiliate link⁠ to start organizing EVERYTHING you do.Head over to our website at ⁠⁠⁠hitechpod.us⁠⁠⁠ for all of our episode pages, send some support at ⁠⁠Buy Me a Coffee⁠⁠, our ⁠⁠⁠Twitter⁠⁠⁠, our ⁠⁠⁠YouTube⁠⁠⁠, our connection to ⁠⁠⁠Education Podcast Network⁠⁠⁠, and to see our faces (maybe skip the last one).Need a journal that's secure and reflective? Sign-up for the ⁠Reflection App⁠ today! We promise that the free version is enough, but if you want the extra features, paying up is even better with our affiliate discount.

This week, Sam and Dave are joined by a very special guest: Synthetic Fidji. Yes, an AI version of Fidji Simo, created after the real one politely declined (hey, the show must go on, okay?).They get into:the bull and bear case for vibe codingGemini vs. GPT (is Sam having second thoughts?)why GitHub might be quietly, ruthlessly winning the AI dev racethe identity crisis no one's cracked with LLMsPlus: OpenAI just spent $6 billion on hardware to team up with Jony Ive, the MEO phone is suddenly everywhere, and more.We're also on ↓X: https://twitter.com/moreorlesspodInstagram: https://instagram.com/moreorlessSpotify: https://podcasters.spotify.com/pod/show/moreorlesspodConnect with us here:Sam Lessin: https://x.com/lessinDave Morin: https://x.com/davemorinJessica Lessin: https://x.com/JessicalessinBrit Morin: https://x.com/brit00:00 Introduction01:24 OpenAI CEO of Applications?07:55 Tools that ACTUALLY work18:47 Is everyone lying about vibe coding?43:10 The big identity problem with LLMs (and Zapier)52:26 Google I/O: "Who cares?"54:13 Is OpenAI big tech? They buy Jony Ive's startup56:17 The "hyper-viral" Methaphone. How?59:40 Outro

In this episode, we sat down with full-stack developer and AI innovator Matthew Henage, creator of WAOS.ai (Web App Operating System) and the incredible storytelling platform SpeakMagic.ai. This conversation took us deep into the world of agentic AI, low-code app building, and the future of intelligent workflows.We kicked things off with Matthew sharing how he's been riding the AI wave since GPT-3.5 blew his mind. His platform WoWs is all about making it easy for developers to build powerful web apps with embedded AI workflows — think of it like Zapier meets ChatGPT, but with agents working together instead of API chains.One of the most eye-opening parts of our chat was learning about agent swarms — essentially teams of specialized AI agents that collaborate to perform complex tasks. Instead of relying on one giant AI brain to do everything, you create smaller, purpose-built AIs that handle specific steps in a workflow. It's scalable, smarter, and kind of like assembling your dream dev team… but all made of code.Matthew's Speak Magic project is a jaw-dropper. It uses a swarm of over 40 agents to turn a single story idea into a fully animated, two-minute video — complete with scenes, scripts, character animations, music, and more. It's AI storytelling on steroids.We also talked a lot about:Best practices for building reliable AI workflowsThe importance of keeping context windows small (under 4,000 tokens works best!)How prompt engineering is becoming the new programmingUsing AI for vibe coding (yes, that's a thing) and rapid prototypingThe tradeoffs between using traditional programming vs. letting AI handle logicEthical considerations and how to handle memory and privacy in long-running user interactionsCheck out Matthew's work at WAOS.ai and speakmagic.ai — and as always, stay curious and keep building!Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

Episode 2 of 12 in the MTRX series! This is a long awaited episode talking about the integration between MTRX and CRM systems using the Zapier integration! This is a game changer for business communication and efficiency for the retail shop environment. You're not going to want to miss this one! https://dentprosacramento.com/ https://www.dentprousa.com/  

What if you could reclaim hours of your time each week—just by documenting and automating the simple tasks you're already doing? In this episode, I sit down with Glen Young of Cold Springs Organics, a Farm Marketing School member and automation-building wizard, to talk about how he's using Zapier + AI to automate processes in his farm business—from order management to email marketing, lead tagging, customer onboarding, and even abandoned cart follow-ups. Glen shares how he went from juggling everything manually to building smart, scalable workflows that save him time and create a better customer experience. He walks us through his "white belt to black belt" automation philosophy, shares the tools he's using (and loving), and explains how he's using ChatGPT to document and coach his systems into existence.

What happens when the person trained to spot burnout becomes its next victim?Kelly Vaughn is a Senior Engineering Manager at Zapier, the author of the After Burnout Substack, and a trained therapist. She joins hosts Ben and Andrew to share her incredibly candid journey of discovering burnout in herself. Kelly reveals how she (despite her professional understanding of burnout's mechanisms) found herself deep in its grip, recounting the slow realizations like dwindling passion, increasing cynicism, and distinct physical tolls like disrupted sleep and a loss of hunger cues.This raw conversation offers vital lessons for anyone in a high-pressure career (and let's face it: that's all of us!). As the tech landscape accelerates with AI, Kelly shares insights on managing its pressures and opportunities. She redefines ambitions for herself alongside the non-negotiables she established for her own well-being when seeking her new role. Listeners will gain powerful insights into identifying their own limits, the courage for pivotal changes, and integrating new demands without self-sacrifice.Check out:AI Code Reviews: Automate AI code reviews for every PRSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Personal Website: kvlly.com"After Burnout" Newsletter: afterburnout.co"The Modern Leader" Newsletter: modernleader.isKelly's Article: On burnout, quitting, and redefining what mattersReferenced in today's show:The FAA has resorted to buying parts on eBay because its equipment is so old, Transportation Secretary Sean Duffy says 2025-05-11 air traffic controlDOGE Is in Its AI EraIRS hopes to replace fired enforcement workers with AI Microsoft lays off about 3% of its workforce in what one executive calls a ‘day with a loSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

Blink, and you've already missed like 7 AI updates.The large language models we use and rely on? They change out more than your undies. (No judgement here.) But real talk — businesses have made LLMs a cornerstone of their business operations, yet don't follow the updates. Don't worry shorties. We've got ya. In our first ever LLM Monthly roundup, we're telling you what's new and noteworthy in your favorite LLMs. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:ChatGPT 4.1 New Features OverviewChatGPT Shopping Platform LaunchChatGPT's Microsoft SharePoint IntegrationChatGPT Memory and Conversation HistoryGoogle Gemini 2.5 Pro UpdatesGemini Canvas Powerful ApplicationsClaude Integrations with Google WorkspaceMicrosoft Copilot Deep Research InsightsTimestamps:00:00 Saudi Arabia's $600B AI Investment06:44 Monthly AI Model Update Show08:11 OpenAI Launches GPT-4.1 Publicly11:52 AI Research Tools Comparison16:29 Perplexity's Pushy Shopping Propensity19:55 ChatGPT Memory: Pros and Cons22:29 Gemini Canvas vs. OpenAI Canvas25:06 AI Model Competition Highlights28:25 Google Gemini Rivals OpenAI's Research32:30 "Claude's Features and Limitations"37:05 Anthropic's Educational AI Innovation39:02 Exploring Copilot Vision Expansion41:38 Meta AI Launch and Llama 4 Models46:27 "New iOS Voice Assistant Features"47:54 "Enhancing iOS Assistant Potential"Keywords:ChatGPT, AI updates, Large Language Model updates, OpenAI, GPT 4.1, GPT 4.0, GPT 4.5, GPT 4.1 Mini, Saudi Arabia AI investment, NVIDIA Blackwell AI chips, AMD deal, Humane startup, Data Vault, AI data centers, Logic errors moderation, Grox AI, Elon Musk, XAI, Google Gemini, ChatGPT shopping, Microsoft SharePoint integration, OneDrive integration, deep research, AI shopping platform, Google DeepMind, Alpha Evolve, evolutionary techniques, AI coding, Claude, Anthropic Claude, Confluence integration, Jira integration, Zapier integration, ChatGPT enterprise, API updates, Copilot pages, Microsoft three sixty five, Bing search, Meta AI, Llama 4, Llama 4 Maverick, Llama 4 Scout, Perplexity, voice assistant, Siri alternatives, Grok Studio, AI social network.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

SummaryIn this episode of The E-commerce Content Creation Podcast, Daniel Jester and creative director/photo manager turned creative ops consultant Kelly Garthwait dive into a candid, exploratory conversation about authenticity in visual storytelling and the tensions introduced by AI and automation in creative roles. Their dialogue weaves through the influence of social media on brand identity, the importance of consistency in e-commerce visuals, the enduring value of printed photography, and how storytelling creates meaningful connections between brands and audiences.Key TakeawaysAuthenticity is more than aesthetics – it's about coherence, trust, and meaningful storytelling.Consumers can feel when something is off, even if they can't articulate it.A brand's inconsistent tone across platforms (e.g., social media vs. streaming ads) can erode trust and feel “two-timing.”Consistent product photography builds customer trust and reduces friction in the shopping experience.Even subtle mismatches in lighting, angles, or image quality can raise subconscious red flags.Daniel shared HauteLook's strategy of using coordinated color themes to maintain daily visual cohesion.AI can accelerate execution but cannot replace taste or vision.The most successful creative applications of AI come from teams who understand what good looks like and guide the tools accordingly.There's value in observing trends before overcommitting to tools with fleeting hype cycles.Storytelling provides the essential context that transforms content into connection.Visual narratives, recurring motifs, and Easter eggs (like Daniel's Signs of the Zodiac series) offer richer engagement.In-person experiences with printed photography or museum exhibits deepen emotional resonance far beyond screen-based consumption.There's a growing need to reinvest in creative direction as a function that ensures cohesion, especially in content-heavy environments.Creative leadership helps bridge the gap between fast execution (often with AI) and meaningful brand expression.Physical prints offer an emotional and sensory connection that screens can't replicate.Both Kelly and Daniel emphasized the power of printed art to evoke memory, emotion, and a sense of home.Tools like Zapier and automated workflows can relieve friction in production processes.The goal is not to remove creative roles, but to enable them by reducing logistical bottlenecks (like asset review and approvals).CreditsHosted by: Daniel Jester - danieltjester.com

In this episode of FileMaker DevCast, we dive into n8n—a flexible, low-code workflow automation platform that gives you total control over how your systems talk to each other. We explore how n8n stacks up against tools like Zapier and Claris Connect, and walk through live examples of connecting Google Forms, FileMaker, email services, and even local AI agents. Learn how to build scalable, resilient automations—hosted on your own infrastructure or in the cloud—that will save you time. You'll hear about: Real-world n8n workflows with Google Sheets and FileMaker The power of "nodes" vs "zaps" and "connectors" Triggering flows with webhooks, timers, or file changes Using n8n with LLMs and vector stores for RAG-based AI The pros and trade-offs of local vs SaaS hosting Whether you're automating internal tools or building next-gen AI workflows, this episode will show you new ways to think about integration.

Roberta Dombrowski invites us to rethink success, tune into our intuition, and lead with intention —sharing how mindfulness, healing, and self-compassion can transform the way we work and live. ====== Episode chapters 00:00 – Welcome and Introduction 04:25 – Being a Transracial Adoptee and Finding Voice 14:11 – The Restless Career Journey and Job-Hopping 22:54 – Lessons from Anxiety, Burnout, and Slowing Down 32:25 – Mindfulness, Somatic Work, and Coaching Practice 42:46 – The Challenges Facing UX Researchers Today 50:42 – Systemic vs Individual Burnout 58:10 – How to Navigate Red Flags in Hiring 1:06:01 – The Role of Intuition and Inner Wisdom 1:15:51 – Rediscovering Fun and Joy at Work ====== Who is Roberta Dombrowski? Roberta Dombrowski is a certified leadership coach and experience strategist, dedicated to transforming the way people live, learn, and work. She is the founder of Learn Mindfully, a coaching and training company she launched in 2022. Since then, Roberta has supported hundreds of leaders from companies such as Adobe, Instacart, ServiceNow, Zapier, and Zoom. Previously, Roberta was a Research Partner at Maze, where she helped clients maximize the platform's potential. Before that, she was VP of User Research at User Interviews, where she built and scaled the research function while tackling the meta-challenge of researching researchers. Roberta is also the author of Consciously Crafting Your Career Path, a self-reflection and career planning workbook designed to help people shape fulfilling and intentional careers. Her insights have been featured on podcasts like Lead the People and BLOC, and at events such as Rosenfeld Media's Advancing Research conference. ====== Find Roberta here: LinkedIn: https://www.linkedin.com/in/robertadombrowski/ Company website: https://learnmindfully.co/ Personal website: https://robertalearns.com/  ====== Subscribe to Brave UX Liked what you heard and want to hear more? Subscribe and support the show by leaving a review on Apple Podcasts (or wherever you listen). Apple Podcast Spotify YouTube Podbean Follow us on our other social channels for more great Brave UX content! LinkedIn TikTok Instagram Brendan Jarvis hosts the Show, and you can find him here: Brendan Jarvis on LinkedIn The Space InBetween Website

Ep. 325 What if you could be 10x more productive—just by letting AI organize your workday? Kipp dives into how to leverage new AI assistants to automate your workflows, optimize your meetings, and finally banish daily chaos. Learn more on integrating Claude and ChatGPT with your Google tools, using AI to map and improve your daily routines, and building a custom personal assistant agent that keeps you one step ahead. Mentions Want our favorite productivity prompt? Get it here: https://clickhubspot.com/dse Claude https://claude.ai/ ChatGPT https://chatgpt.com/ Zapier https://zapier.com/ Make https://www.make.com/en Check out this episode on YouTube: https://www.youtube.com/watch?v=dD6ehvz5fDg&t=642s Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

This week we talk about the Marshall Plan, standardization, and USB.We also discuss artificial intelligence, Anthropic, and protocols.Recommended Book: Fuzz by Mary RoachTranscriptIn the wake of WWII, the US government implemented the European Recovery Program, more commonly known as the Marshall Plan, to help Western Europe recover from a conflict that had devastated the afflicted countries' populations, infrastructure, and economies.It kicked off in April of 1948, and though it was replaced by a successor program, the Mutual Security Act, just three years later in 1951—which was similar to the Marshall Plan, but which had a more militant, anti-communism bent, the idea being to keep the Soviets from expanding their influence across the continent and around the world—the general goal of both programs was similar: the US was in pretty good shape, post-war, and in fact by waiting to enter as long as it did, and by becoming the arsenal of the Allied side in the conflict, its economy was flourishing, its manufacturing base was all revved up and needed something to do with all the extra output capacity it had available, all the resources committed to producing hardware and food and so on, so by sharing these resources with allies, by basically just giving a bunch of money and assets and infrastructural necessities to these European governments, the US could get everybody on side, bulwarked against the Soviet Union's counterinfluence, at a moment in which these governments were otherwise prone to that influence; because they were suffering and weaker than usual, and thus, if the Soviets came in with the right offer, or with enough guns, they could conceivably grab a lot of support and even territory. So it was considered to be in everyone's best interest, those who wanted to keep the Soviet Union from expanding, at least, to get Europe back on its feet, posthaste.So this program, and its successor program, were highly influential during this period, and it's generally considered to be one of the better things the US government has done for the world, as while there were clear anti-Soviet incentives at play, it was also a relatively hands-off, large-scale give-away that favorably compared with the Soviets' more demanding and less generous version of the same.One interesting side effect of the Marshall Plan is that because US manufacturers were sending so much stuff to these foreign ports, their machines and screws and lumber used to rebuild entire cities across Europe, the types of machines and screws and lumber, which were the standard models of each in the US, but many of which were foreign to Europe at the time, became the de facto standard in some of these European cities, as well.Such standards aren't always the best of all possible options, sometimes they stick around long past their period of ideal utility, and they don't always stick, but the standards and protocols within an industry or technology do tend to shape that industry or technology's trajectory for decades into the future, as has been the case with many Marshall Plan-era US standards that rapidly spread around the world as a result of these giveaways.And standards and protocols are what I'd like to talk about today. In particular a new protocol that seems primed to shape the path today's AI tools are taking.—Today's artificial intelligence, or AI, which is an ill-defined type of software that generally refers to applications capable of doing vaguely human-like things, like producing text and images, but also somewhat superhuman things, like working with large data-sets and bringing meaning to them, are developing rapidly, becoming more potent and capable seemingly every day.This period of AI development has been in the works for decades, and the technologies required to make the current batch of generative AI tools—the type that makes stuff based on libraries of training data, deriving patterns from that data and then coming up with new stuff based on the prompting of human users—were originally developed in the 1970s, but the transformer, which was a fresh approach to what's called deep learning architectures, was first proposed in 2017 by a researcher at Google, and that led to the development of the generative pre-trained transformer, or GPT, in 2018.The average non-tech-world person probably started to hear about this generation of AI tools a few years later, maybe when the first transformer-based voice and image tools started popping up around the internet, mostly as novelties, or even more likely in late-2022 when OpenAI released the first version of ChatGPT, a generative AI system attached to a chatbot interface, which made these sorts of tools more accessible to the average person.Since then, there's been a wave of investment and interest in AI tools, and we've reached a point where the seemingly obvious next-step is removing humans from the loop in more AI-related processes.What that means in practice is that while today these tools require human prompting for most of what they do—you have to ask an AI for a specific image, then ask it to refine that image in order to customize it for your intended use-case, for instance—it's possible to have AI do more things on their own, working from broader instructions to refine their creations themselves over multiple steps and longer periods of time.So rather than chatting with an AI to come up with a marketing plan for your business, prompting it dozens or hundreds of times to refine the sales copy, the logo, the images for the website, the code for the website, and so on, you might tell an AI tool that you're building a business that does X and ask it to spin up all the assets that you need. From there, the AI might research what a new business in that industry requires, make all the assets you need for it, go back and tweak all those assets based on feedback from other AI tools, and then deploy those assets for you on web hosting services, social media accounts, and the like.It's possible that at some point these tools could become so capable in this regard that humans won't need to be involved at all, even for the initial ideation. You could ask an AI what sorts of businesses make sense at the moment, and tell it to build you a dozen minimum viable products for those businesses, and then ask it to run those businesses for you—completely hands off, except for the expressing your wishes part, almost like you're working with a digital genie.At the moment, components of that potential future are possible, but one of the main things standing in the way is that AI systems largely aren't agentic enough, which in this context means they need a lot of hand-holding for things that a human being would be capable of doing, but which they largely, with rare exceptions, aren't yet, and they often don't have the permission or ability to interact with other tools required to do that kind of building—and that includes things like the ability to create a business account on Shopify, but also the ability to access and handle money, which would be required to set up business and bank accounts, to receive money from customers, and so on.This is changing at a rapid pace, and more companies are making their offerings accessible to specific AI tools; Shopify has deployed its own cluster of internal AI systems, for instance, meant to manage various aspects of a business its customers perch on its platform.What's missing right now, though, is a unifying scaffolding that allows these services and assets and systems to all play nice with each other.And that's the issue the Model Context Protocol is meant to address.The Model Context Protocol, or MCP, is a standard developed by AI company Anthropic, and it's open and designed to be universal. The company intends for it to be the mycelium that connects large language model-based AI to all sorts of data and tools and other systems, a bit like the Hypertext Transfer Protocol, or HTTP, allows data on the web to be used and shared and processed, universally, in a standardized way, and to dip back into the world of physical objects, how standardized shipping containers make global trade a lot more efficient because everyone's working with the same sized boxes, cargo vessels, and so on.The Universal Serial Bus standard, usually shorthanded as USB, is also a good comparison here, as the USB was introduced to replaced a bunch of other standards in the early days of personal computing, which varied by computer maker, and which made it difficult for those makers, plus those who developed accessories, to make their products accessible and inexpensive for end-users, as you might buy a mouse that doesn't work with your specific computer hardware, or you might have a cable that fits in the hole on your computer, but doesn't send the right amount of data, or provide the power you need.USB standards ensured that all devices had the same holes, and that a certain basic level of data and power transmission would be available. And while this standard has since fractured a bit, a period of many different types of USB leading to a lot of confusion, and the deployment of the USB C standard simplying things somewhat, but still being a bit confounding at times, as the same shaped plug may carry different amounts of data and power, despite all that, it has still made things a lot easier for both consumers and producers of electronic goods, as there are fewer plugs and charger types to purchase, and thus less waste, confusion, and so on. We've moved on from the wild west era of computer hardware connectivity into something less varied and thus, more predictable and interoperable.The MCP, if it's successful, could go on to be something like the USB standard in that it would serve as a universal connector between various AI systems and all the things you might want those AI systems to access and use.That might mean you want one of Anthropic's AI systems to build you a business, without you having to do much or anything at all, and it may be capable of doing so, asking you questions along the way if it requires more clarity or additional permissiosn—to open a bank account in your name, for instance—but otherwise acting more agentically, as intended, even to the point that it could run social media accounts, work with manufacturers of the goods you sell, and handle customer service inquiries on your behalf.What makes this standard a standout compared to other options, though—and there are many other proposed options, right now, as this space is still kind of a wild west—is that though it was developed by Anthropic, which originally made it to work with its Claude family of AI tools, it has since also been adopted by OpenAI, Google DeepMind, and several of the other largest players in the AI world.That means, although there are other options here, all with their own pros and cons, as was the case with USB compared to other connection options back in the day, MCP is usable with many of the biggest and most spendy and powerful entities in the AI world, right now, and that gives it a sort of credibility and gravity that the other standards don't currently enjoy.This standard is also rapidly being adopted by companies like Block, Apollo, PayPal, CloudFlare, Asana, Plaid, and Sentry, among many, many others—including other connectors, like Zapier, which basically allows stuff to connect to other stuff, further broadening the capacity of AI tools that adopt this standard.While this isn't a done deal, then, there's a good chance that MCP will be the first big connective, near-universal standard in this space, which in turn means many of the next-step moves and tools in this space will need to work with it, in order to gain adoption and flourish, and that means, like the standards spread around the world by the Marshall Plan, it will go on to shape the look and feel and capabilities, including the limitations, of future AI tools and scaffoldings.Show Noteshttps://arstechnica.com/information-technology/2025/04/mcp-the-new-usb-c-for-ai-thats-bringing-fierce-rivals-together/https://blog.cloudflare.com/remote-model-context-protocol-servers-mcp/https://oldvcr.blogspot.com/2025/05/what-went-wrong-with-wireless-usb.htmlhttps://arxiv.org/html/2504.16736v2https://en.wikipedia.org/wiki/Model_Context_Protocol#cite_note-anthropic_mcp-1https://github.com/modelcontextprotocolhttps://www.anthropic.com/news/integrationshttps://www.theverge.com/2024/11/25/24305774/anthropic-model-context-protocol-data-sourceshttps://beebom.com/model-context-protocol-mcp-explained/https://techcrunch.com/2025/03/26/openai-adopts-rival-anthropics-standard-for-connecting-ai-models-to-data/https://techcrunch.com/2025/04/09/google-says-itll-embrace-anthropics-standard-for-connecting-ai-models-to-data/https://en.wikipedia.org/wiki/Generative_artificial_intelligencehttps://en.wikipedia.org/wiki/USBhttps://www.archives.gov/milestone-documents/marshall-planhttps://en.wikipedia.org/wiki/Marshall_Planhttps://www.congress.gov/crs-product/R45079https://www.ebsco.com/research-starters/history/marshall-planhttps://www.history.com/articles/marshall-plan This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit letsknowthings.substack.com/subscribe

In this episode of Don't Waste the Chaos, Kerri Roberts dives into how artificial intelligence is reshaping the future of small and mid-sized businesses. With her signature clarity and practical insight, Kerri explains how AI is not just for Silicon Valley anymore—it's a tool that every entrepreneur can harness to streamline operations, increase productivity, and gain a competitive edge. From content creation and market research to automation and strategic planning, Kerri shares how she and her clients are successfully using AI in their day-to-day work. If you've been curious about how to use AI in your business, this episode is the perfect starting point. Tune in to hear:The latest stats on AI adoption among small businessesHow early AI adopters are growing at double the rate of their competitorsSimple ways to use AI in marketing, client delivery, and operationsWhy content creation is one of the easiest places to start with AITools that automate repetitive admin tasks and free up your timeAI use cases for customer service, research, financial forecasting, and moreHow Kerri uses AI inside her HR consulting firmEncouragement for business owners who feel overwhelmed by new techWhy AI should be seen as a partner—not a threat—to your growthResourcesSalt & Light AdvisorsLearn more about AI tools for small businesses (blog post or future download—link pending)Connect with Kerri on Instagram: @kerrimrobertsBook a consulting session to integrate AI into your businessRecommended AI tools: ChatGPT, Jasper, Notion AI, Canva, Grammarly, Zapier

Ross sits down with Kieran Flanagan, SVP of Marketing at HubSpot, for a deep dive into AI's impact on SEO, content strategy in a post-search world, and the real story behind the "HubSpot traffic drop. Kieran breaks down why conversions—not clicks—have always been at the core of HubSpot's strategy, how AI is reshaping team structures, and why co-citation and brand authority are the future of SEO. They also cover LLM optimization, the importance of tools in training sets, and what separates influential content from purely informational posts. Plus: Why lazy AI marketers will fail, what The Hustle acquisition means for HubSpot's media strategy, and how to build long-term influence through POV-driven content. Chapters: 00:00 – Intro: Did HubSpot Really Lose 80% of Blog Traffic? 02:00 – HubSpot's Real Metrics: LTV: CAC, Not Just Clicks 04:00 – Google's AI & the New Era of Search Disruption 06:00 – What Content Will Be Cannibalized by LLMs 08:00 – Influence or Information: Winning with Point of View 10:00 – From Links to Mentions: Co-Citation SEO Strategy 12:00 – Optimizing for LLMs: Citations, Not Just SERPs 14:00 – AI, Brand Authority & The Repetitional Layer 17:00 – Tools, Training Sets, and the Battle of Ideas 20:00 – Inside HubSpot's Media Play: The Hustle, Podcasts & Creators 24:00 – Why Interactive Tools Still Work (If Done Right) 26:00 – Gated Content & Moving the “Free Line” 28:00 – New Team Models: Journalists, Generalists, and Engineers 32:00 – Kieran's Leadership Framework: Manage Problems, Not People 35:00 – Contrarian Bet: Buying The Hustle & Building Influence 38:00 – Lessons from Zapier vs HubSpot's Go-To-Market 40:00 – Why Lazy AI Marketers Will Fail 42:00 – Is M&A Still a Growth Lever for HubSpot? 44:00 – Final Thoughts & Where to Follow Kieran --- Show Links Did Hubspot Lose 80% of Blog Traffic? [https://www.youtube.com/watch?v=tBHoJMOkL6Y](https://www.youtube.com/watch?v=tBHoJMOkL6Y) Contrast Ratio by Siege Media [https://www.siegemedia.com/contrast-ratio](https://www.siegemedia.com/contrast-ratio) Interactive Content Data Use [https://www.siegemedia.com/strategy/content-marketing-trends#interactive-content](https://www.siegemedia.com/strategy/content-marketing-trends#interactive-content) The Hustle by HubSpot [https://blog.hubspot.com/the-hustle/page/1](https://blog.hubspot.com/the-hustle/page/1) Kieran Flanagan on LinkedIn [https://linkedin.com/in/kieranjflanagan](https://linkedin.com/in/kieranjflanagan)

Discover how top-tier client service and smart tools like Calendly, Zapier, and TextExpander can transform your law firm's client experience. The American College of Trust and Estate Counsel, ACTEC, is a professional society of peer-elected trust and estate lawyers in the United States and around the globe. This series offers professionals best practice advice, insights, and commentary on subjects that affect the profession and clients. Learn more in this podcast.

Wait.... how's this make sense?↪ Meta is going after ChatGPT's business. (AI app) ↪ ChatGPT is going after Amazon's business. (Shopping) ↪ Amazon is going after Google's business (Powerful LLM) ↪ And Google is going after..... OpenAI's business? (AI mode) The tech trillionaires are at it again, going blow for blow with drool-worthy AI updates. Don't spend hours on your own trying to catch up. Spend your Mondays with Everyday AI as we bring you the AI News That Matters. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the conversation.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Amazon's Nova Premier AI Model LaunchMeta AI App Powered by Llama 4Google's AI Mode Available in USDuolingo Replaces Jobs with AI ToolsTrump AI Pope Image ControversyApple and Google's Gemini AI IntegrationAnthropic Claude's New App IntegrationsNotebookLM Enhanced with Gemini 2.5 FlashOpenAI's ChatGPT Shopping Feature IntroductionTimestamps:00:00 Amazon AWS Unveils Nova Premier AI05:11 Meta Unveils AI Competitor to ChatGPT09:14 Duolingo Replaces Contractors with AI12:52 AI's Growing Impact on Hiring14:32 AI Image Mocking Catholics Sparks Outrage20:49 "Zapier Enhances Claude's Research Utility"25:09 Gemini 2.5 Update Enhancements26:19 "Gemini 2.5 Flash Enhancements"29:55 "ChatGPT Enhances Product Research"34:06 OpenAI Ventures into Affiliate Marketing37:29 Weekly AI News HighlightsKeywords:Meta AI app, Llama four, generative AI, Amazon, AWS, Nova Premier, AI model, enterprise applications, text and image inputs, long form video, 1,000,000 token context window, model distillation, AWS bedrock, Google, chatGPT, OpenAI, Meta, social media integration, Ray-Ban smart glasses, user preferences, conversational AI, Google Shopping, AI mode, search labs, AI-enhanced local business features, Duolingo, AI first business model, contract worker replacement, Donald Trump AI image, AI-generated content, political controversies, Apple, Google, Gemini AI model, Siri enhancements, Claude, AI integrations, Jira, Confluence, Zapier, Anthropic, advanced research mode, NotebookLM, Gemini 2.5 Flash, Google AI, shopping buttons, OpenAI shopping feature, affiliate fees, conversational product recommendations, Nespresso, Amazon AI, Rufus AI, personalized shopping experience, 2025 technology trends.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

In this conversation, Jaeden discusses the latest advancements from Anthropic, particularly their new integrations that allow users to connect various applications directly to Claude.Try AI Box: ⁠⁠https://AIBox.ai/⁠⁠TakeawaysAnthropic is expanding its capabilities with new app integrations.AI Box has launched a product that consolidates AI models.Claude's new features include advanced research and web searching.The MCP protocol allows for enhanced data integration across platforms.Zapier integration enables automation workflows with Claude.Claude can access local drives for comprehensive research.Anthropic aims to compete with major players like OpenAI and Google.The ability to connect payment systems to AI models is emerging.Future AI agents will leverage these new integrations.The importance of citation in AI-generated content is being addressed.

Subscribe at Thisnewway.com to get the step-by-step AI workflows.In episode 2 of This New Way, Felipe Izquierdo, CEO of Quest, explains how a small, boot-strapped team runs both an educational game studio and a cohort-based learning program by leaning on AI for almost every function — prototyping multiplayer math games in hours instead of weeks, automating high-touch parent emails, and even building a 24/7 “executive-coach” phone agent from scratch.Along the way he shares the exact stacks (Cursor, Replit, Zapier, Anthropic, Twilio, 11 Labs) and design choices that let three people operate like fifty.Timestamps00:00 Felipe's path from non-technical founder to AI-assisted coder01:28 What Quest does and why AI keeps the team lean03:28 How AI shrinks game-prototype cycles from weeks to hours08:34 Daily workflow: Cursor, Replit, Super Whisper voice coding & Mac dictation14:00 Learning to code faster via screenshot-driven ChatGPT tutoring16:58 Show & Tell #1: Zapier + Anthropic email-drafting pipeline (live demo)30:59 Show & Tell #2: Building and calling “Maximo,” a voice executive-coach agent41:48 Future bets: voice as the primary UI and AI-only workflowsResources & Tools Mentioned:Coding & Prototyping: Cursor, Replit, Devin (reference), GitHub PR reviewsVoice / Dictation: Super Whisper (Mac), macOS built-in dictation, 11 Labs Voice & Conversational AI, OpenAI Real-Time APIAutomation & LLMs: Zapier (Zaps), Anthropic Claude, Google Sheets / Airtable, Twilio (SMS & voice)Products & Links:Quest math & strategy games – joinquest.comAI executive coach “Maximo” – meetmaximo.com

Subscribe at Thisnewway.com to get the step-by-step AI workflows.In episode 3 of This New Way, Aydin sits down with Philippe Dame, CPO of Recollective, to unpack how AI is transforming qualitative market-research, sales operations, internal knowledge-sharing, and day-to-day productivity.Phil walks through the product pivot that turned Recollective's vast unstructured data into an “AI-first” insights engine, then demos a stack of no-code automations — from AI-powered lead scoring in Google Sheets to a self-serve Vertex AI search that makes every doc, deck, and Gong call instantly searchable.You'll hear concrete play-by-plays, see cost breakdowns , and learn how to start small, scale fast, and turn AI into a force-multiplier across your org.Timestamps:00:35 Phil's background and early web-tool days01:44 Pivot to Recollective and focus on market-research tech03:18 Why hybrid qual + quant research matters03:58 Unstructured data → perfect AI playground04:50 “Roadmap reset” after ChatGPT pressure06:00 How the team up-skilled on LLMs & vector DBs08:12 First AI features: summarization → theme extraction → comparisons09:05 Making space for AI work without derailing commitments10:10 Company-wide AI wins: sales data mining & lead scoring13:08 Relay + Google Sheets workflow for automated enrichment16:18 Running internal “AI office hours” to drive adoption17:05 Staying current: newsletters, trials, and cost control20:25 Seat-based vs. usage-based pricing—Phil's take23:04 Perplexity as Phil's go-to research sidekick24:50 Cutting the “collaboration tax” with self-serve AI answers27:24 Live demo: Recollective's Ask-AI tab & verbatim citations31:28 Segment @mentions for instant comparative analysis37:04 Emotion tagging and drilling into negative feedback38:30 Building an internal Vertex-AI search in one afternoon42:23 Agent Builder setup walkthrough44:34 Relay use-cases: lead workflows, news scraping, stand-up bot53:23 n8n migrations: 4,000 Gong calls plus on-the-fly analysis56:30 OpenAI Playground & Notebook LM for ad-hoc knowledgebases1:02:20 Google AI Studio multimodal experiments (free)1:04:04 Start simple—one use-case, one stakeholder, iterateTools & Resources Mentioned:AI / LLMs & Model-PlaygroundsChatGPT (OpenAI)OpenAI Platform & PlaygroundClaude (Anthropic)Perplexity Pro- Google Gemini (Workspace)Google AI StudioKnowledgeBase & Search Vertex AI Agent Builder / Search (Google Cloud) Notebook LM (Google) Internal Vertex-powered “ask-AI” portalAutomation & WorkflowsRelay (no-code workflow tool with AI steps)Zapier (reference point)n8n (open-source automation + AI agents)Data, CRM & Sales EnablementGoogle SheetsSalesforceOutreachGong (call recordings)Collaboration & ProductivitySlack (AI channel, human-in-the-loop flows)Notion (company intranet)Google Drive & Google CalendarRSS feeds + custom “Article Extractor” scraperCore ProductRecollective (Phil's qualitative-research platform with built-in AI features)Developer / Engineering UtilitiesCursor IDE (AI-assisted coding, briefly cited)

In this special episode of the HR Leaders Podcast, we bring you a powerful panel discussion hosted by Lynne Oldham, Chief People Officer at Dataiku, featuring talent leaders from Databricks, Omnicom Media Group, Eaton and Zapier.Together, they explore how AI is transforming talent acquisition and talent management, from predictive hiring and internal mobility to bias reduction and personalized candidate experiences.

In this episode of From Startup to Wunderbrand, host Nicholas Kuhne dives into Bert's extraordinary journey—from solo expeditions to pioneering AI in healthcare with Leadbrain.ai.Discover how persistence trumps talent, why there are truly no shortcuts, and how AI is transforming customer acquisition in healthcare. Whether you're steering a startup or navigating your own leadership path, Bert's raw lessons on endurance, innovation, and entrepreneurship will anchor you.

In this episode of The Speed of Culture, Matt Britton talks with Wade Foster, CEO and Co-Founder of Zapier, about the rise of AI-driven automation, innovative strategies behind Zapier's massive growth, and why empowering creativity with technology is reshaping the business landscape.Follow Suzy on Twitter: @AskSuzyBizFollow Wade Foster on LinkedInSubscribe to The Speed of Culture on your favorite podcast platform.And if you have a question or suggestions for the show, send us an email at suzy@suzy.com Hosted on Acast. See acast.com/privacy for more information.

Send us a textReady to rethink your approach to customer success without draining your budget? In this episode of the Customer Success Playbook, hosts Roman Trebon and Kevin Metzger sit down with Joe Di Grande, founder of Joe DE's Tech Touch, to demystify tech touch strategies. Joe shares practical methods for building a tech touch framework even when your data is scattered and your budget is tight. You'll discover how understanding your goals, auditing your current data, and leveraging freemium tools can set the foundation for scalable and impactful customer success initiatives.Detailed Analysis: Joe Di Grande dives into the evolution of "tech touch" — from a basic method of handling long-tail customer segments to a full-fledged strategic pillar within modern customer success playbooks. He emphasizes that success doesn't start with the fanciest tools but with a clear understanding of your goals and the data you already have. Joe cleverly outlines how even spreadsheet-based strategies can kick off a winning initiative if you keep your eyes on key lifecycle markers like contract dates.Resourcefulness takes center stage as Joe highlights a roster of budget-friendly tools — including Zapier, Apollo.io, and Tango.io — that can empower even the scrappiest startups to automate engagement and education touchpoints. By focusing first on aligning data and customer lifecycle stages, organizations can set up low-cost experiments that yield big insights and pave the way for future investment in tech success platforms.Whether you're a startup looking to stretch every dollar or an enterprise recalibrating your customer success operations, this conversation offers a refreshing, grounded take on scaling smartly. Joe's energy and real-world examples make this a can't-miss episode for anyone seeking to modernize their customer success playbook with tech touch strategies.Now you can interact with us directly by leaving a voice message at https://www.speakpipe.com/CustomerSuccessPlaybookPlease Like, Comment, Share and Subscribe. You can also find the CS Playbook Podcast:YouTube - @CustomerSuccessPlaybookPodcastTwitter - @CS_PlaybookYou can find Kevin at:Metzgerbusiness.com - Kevin's person web siteKevin Metzger on Linked In.You can find Roman at:Roman Trebon on Linked In.

MITIGATION STRATEGIES VS FAKE JOB CANDIDATES   Reports of fraudulent job applications are on the rise. A globalised internet, universal job insecurity and the reduction of friction provided by technology innovation from EasyApply to AI-powered mass personalisation, is a producing a perfect storm which is overwhelming recruitment teams.   As these trends accelerate, we can expect the volume and sophistication of fake job applications to likewise increase. Let's talk about the techniques job candidates are using and what counter measures employers are thinking about to ensure only authentic, honest candidates get through to process.   We will explore:   - What do we categorise as fraudulent? - What types of candidate fraud can we describe? - What is our current mechanism of mitigation? - Detect or Deter? - How do we ensure Candidate Experience, whilst protecting employers interests? - Is the best way to change our talent attraction approach (i.e stop advertising) or can there be another solution? - Using tech to fight agains tech - What are the most fraud-proof assessment techniques - How to balance between security vs efficiency? - What skills does a recruiter need to be good at fraud mitigation? - What do hiring managers needs to do to become good at fraud mitigation? - What types of assessment are no longer viable? - What are the long term implications for talent acquisition?   All this and more as we dive into the world of recruiting and the job search in 2025   We are on Friday 25th April, 2pm BST   Register by clicking the green button and follow the channel here (recommended)       Ep303 is sponsored by our friends at BrightHire   BrightHire is the leader in Interview Intelligence trusted by the world's fastest growing companies: Canva, Ramp, Toast, Axon, Zapier, Vercel, Klaviyo, Rippling, Attentive, HighTouch, Groq, Navan, and 000s more. Not just another note-taking tool, BrightHire's end-to-end AI platform is transforming how our clients hire — delivering substantial hiring efficiency and consistently raising the bar on quality.   “BrightHire has elevated both the quality and speed of our hiring process” - Tony James, Talent Acquisition Partner at AlphaSense   Discover why market-leaders call BrightHire a game-changer for how they hire.   If you schedule a demo with our team next week, and mention Hung sent you, we'll send you a $50 eGift.

If you'd like to check out Flodesk + get my 4-Part Email Welcome Series Workflow sign up with my link!What if your email marketing platform actually made you feel smarter instead of overwhelmed? Dawn Richardson, Product Education Manager at Flodesk, is here to help you redefine what's possible in nonprofit email marketing (with ALL the segmenting and automations too!)Email personalization in 2025 is going way beyond just inserting a supporter's name. Dawn introduces link actions, form preferences, and how to segment donors based on their actual behaviors and interests.Did we mention Flodesk can also support seamless integrations (hello, Canva and Zapier!) and unlimited subscribers and emails - all at a flat-rate price?! I've been using this platform for years and I have never wavered or wanted to make a switch.  FIVE nonprofits in my Monthly Giving Mastermind even made the switch to Flodesk on the spot and now have a much easier time sending eye-catching emails, boosting their email performance and donor loyalty.Resources & LinksLearn more about Flodesk and get 50% off your first year. You can also learn more on their YouTube channel and by joining the Flodesk Insiders Facebook Group. This show is presented by LinkedIn for Nonprofits. We're so grateful for their partnership. Explore their incredible suite of resources and discounts for nonprofit teams here. Through April 30th, LinkedIn is giving away 6 months FREE of Sales Navigator Core to the first 2,000 eligible nonprofit professionals! Click here to apply.My book, The Monthly Giving Mastermind, is here! Grab a copy here and learn my framework to build, grow, and sustain subscriptions for good.Let's Connect! Send a DM on Instagram or LinkedIn and let us know what you think of the show! Head to YouTube for digital marketing how-to videos and podcast teasers Want to book Dana as a speaker for your event? Click here!

In this episode of the Print Hustlers Podcast, Bruce and Steven go deep. From the long-awaited receiving feature launch in Printavo, to scaling with better tools like Zapier and Gusto, to what shops are getting totally wrong about buying DTF machines — this one's full of sharp insights, hard truths, and software that actually saves your sanity. They also share what they've learned running Fabric.ink, a peer-based business coaching group for print shops focused on growth, automation, and reclaiming work-life balance. Oh — and Steven may or may not have triggered a DTF Facebook group during a live talk titled “DTF Doomsday.”

What if I told you that working just two and a half days a week could actually be your new normal? More time with your family, more energy for your passions, and more freedom to live—without sacrificing your income or impact. Sounds wild, right? But it's possible—and in this episode of the Happy Hustle Podcast, I'm breaking down exactly how I pulled it off. First things first: I didn't start here. I used to grind nonstop—100+ hour workweeks, chasing big goals in the big city, feeling burned out and unfulfilled. Eventually, I hit a breaking point and knew something had to change. That's when I started to design my life on purpose. I created a weekly structure, tested out new systems, and got clear on what actually mattered. Over time, that led me to working just 2.5 days a week—with more results, more happiness, and more balance. Here's how it works: It's not just about the structure—it's about the systems. I use time-blocking religiously and follow Parkinson's Law: work expands to the time you give it. So I limit tasks on purpose. I use the Pomodoro technique—45 minutes of deep work, 15 minutes of rest. Apps like Sunsama and Notion help me plan my day with intention. I set just three “Most Valuable Tasks” each day and focus only on those. The rest? Either gets scheduled for later or let go.Delegation and automation are non-negotiables. I ask myself, “What would break if I stopped doing this?” If the answer is nothing, I cut it. For what's essential but not in my zone of genius, I delegate using the 10-80-10 rule: 10% to set it up, 80% delegated, 10% to review. I rely on tools like Zapier and an organized team to automate as much as possible. I also create SOPs (Standard Operating Procedures) for everything so I'm not the bottleneck. Once things are documented and repeatable, it's easy to scale without burning out.One big mindset shift that made this lifestyle possible? Realizing busy doesn't equal productive. I stopped glorifying hustle and started chasing impact. I focus only on the 20% of actions that create 80% of the results—whether that's nurturing partnerships, closing deals, or creating content that builds brand trust. If it doesn't move the needle, I say no.And speaking of “no”—boundaries are everything. I trained my team and clients to respect my schedule. I don't reply to business texts on Sundays. I protect off-grid time and unplug regularly to reset my nervous system. People quickly adapt when you set clear expectations—and you'll find you're actually more respected when you own your time.Was this shift easy? Nope. It took trial and error. I had to hustle hard at first to build the foundation. But now, with recurring income streams, dialed-in systems, and a focused schedule, I get to enjoy a life that's rich in time, not just money.So if you're tired of the grind and want more freedom without giving up your goals—start small. Time-block your ideal week. Identify your needle-moving tasks. Eliminate the noise. And build the life you actually want to live, one intentional move at a time. Connect with Cary!https://www.instagram.com/caryjack/https://www.facebook.com/SirCaryJackhttps://www.linkedin.com/in/cary-jack-kendzior/https://twitter.com/thehappyhustlehttps://www.youtube.com/channel/UCFDNsD59tLxv2JfEuSsNMOQ/featuredGet a free copy of his new book, The Happy Hustle, 10 Alignments to Avoid Burnout & Achieve Blissful Balance https://www.thehappyhustle.com/bookSign up for The Journey: 10 Days To Become a Happy Hustler Online Course https://thehappyhustle.com/thejourney/Apply to the Montana Mastermind Epic Camping Adventure https://thehappyhustle.com/mastermind/“It's time to Happy Hustle, a blissfully balanced life you love, full of passion, purpose, and positive impact!”Episode Sponsor: Magnesium Breakthrough from BiOptimizers https://bioptimizers.com/happyIf you've been on a restricted diet lately or maybe even taken some meds to shed those pounds for the summer, I gotta warn ya—be careful! You might have unknowingly created a nutrient deficiency that could not only mess with your health but also jeopardize those weight loss goals.Did you know that over 75% of Americans are already deficient in magnesium? Yeah, it's wild! Magnesium is this powerhouse mineral that's involved in over 600 biological reactions in your body. It helps with everything from sleep to stress management to hormone balance—all key players in keeping your weight on track.And if you're still on those meds, you might be dealing with some side effects like sleepless nights, digestive issues, or irritability, which can totally throw off your commitment to your goals. Whether you're taking meds or not, setting up healthy habits is crucial to maintaining your weight over time. One of the best things you can do? Make sure you're getting all the magnesium your body needs.Don't let a magnesium deficiency derail your progress! Give Magnesium Breakthrough by BIOptimizers a shot. Unlike other supplements, this one's got all 7 forms of magnesium that your body can actually absorb, so you get the full spectrum of benefits.This approach will help you crush your goals and maintain a healthy weight while keeping your overall health in check. For an exclusive offer, head to bioptimizers.com/happy and use the promo code 'happy10' at checkout to save 10%. And if you subscribe, you'll snag amazing discounts, free gifts, and a guaranteed monthly supply.

Today I'm joined by Jay Singh, AI expert and founder of Casper Studios, to explore how AI is transforming both product creation and internal workflows for creators and businesses alike.We dive deep into the future of personalized software, unlocking AI use cases for creators, and building tools with platforms like Cursor, MindStudio, and Replit. Jay shares how creators can implement fast, practical automations to save time, boost output, and stay ahead in a rapidly changing AI landscape.You'll learn how to identify your best automation opportunities, spin up AI-driven products from transcripts and meeting notes, and use AI to turn raw data into insight, revenue, and leverage.Timestamps:00:00 – Introduction02:17 – Why AI Helps 95% of Tasks—but Gets Used for 50%06:12 – Creators, Voice, and the Future of AI08:33 – Jay's Background at Microsoft & LinkedIn10:09 – The 3-Step Framework for AI Product Thinking13:26 – Automating Finance, Accounting & Accuracy18:02 – How Jay's Agency Designs AI Workflows20:19 – Zapier, MindStudio & Real AI Implementations24:36 – Going From Transcript to Product Requirements in Minutes27:11 – V0, Cursor & AI Product Design Workflows33:07 – Kit's App Store Vision & The Future of Personalized Software38:15 – Building AI Tools Without Knowing the Future42:24 – AI Tools Every Creator Should Be Using45:42 – Meeting Transcripts → LinkedIn Content48:19 – AI-Powered Weekly Metrics Reports for Creators51:06 – How to Spot Your Own Automation Opportunities55:09 – Why Everyone Thinks Their Job is “Safe” From AIIf you enjoyed this episode, please like and subscribe, share it with your friends, and leave us a review. We read every single one.Learn more about The Nathan Barry Show: https://nathanbarry.com/showFollow Nathan:Instagram: https://www.instagram.com/nathanbarryLinkedIn: https://www.linkedin.com/in/nathanbarryX: https://twitter.com/nathanbarryYouTube: https://www.youtube.com/@thenathanbarryshowWebsite: https://nathanbarry.comFollow Jay:LinkedIn: https://www.linkedin.com/in/jaysinghX: https://x.com/JSingh_08Website: https://casperstudios.xyzFeatured in this episode:MindStudio: https://mindstudio.comCursor: https://cursor.shV0: https://v0.devFireflies: https://fireflies.aiReplit: https://replit.comKit: https://kit.com

In this episode, we're diving into a topic that sparked a massive response on LinkedIn - KPIs for Executive Assistants. If you've ever struggled to explain your value, felt stuck in performance reviews, or wondered how to track the impact of your work, this is the episode for you.We explain KPIs, why they matter in our role, and how you can start measuring your impact in simple, practical ways without adding to your workload. We also discuss how to use this data in one-to-ones, performance reviews, interviews, and even casual conversations with your Executive (yes, without feeling like you're bragging!).And a huge thank you to our sponsor, Vimcal EA, for supporting this episode. Their brand-new Executive Calendar Audit feature is a game-changer for Assistants looking to save time and prove their value. Make sure to check out the free upcoming webinar!Links and Resources MentionedFree KPI Template for Executive Assistants → theeacampus.com/podcast/ep58Vimcal EA – Executive Calendar Audit Tool → https://vimcal.com/eaVimcal EA Webinar – Hosted by CTO Michael Zhao → Next session: April 18th, 2025 – Register here: https://lu.ma/ro0ylk6k

If you're still manually sending thank you notes, chasing spreadsheets, or struggling to keep up with donor touch points, this episode could save you THOUSANDS of dollars.I'm talking with Rachel Bearbower, an absolute systems wizard and the founder of  Nonprofit Automation Agency, to break down how nonprofits can implement systems and automations that actually feel personal.Rachel walks us through some compelling case studies, including a monthly giving program that used customized workflows to segment donors by gift size and deliver messages that felt like they came straight from the Executive Director's inbox. You'll hear how my team used Zapier to automatically send scholarship applications from HubSpot to Google Sheets. The kicker? These automations helped scale communications to over 4,700 event registrants without sacrificing personalization!Plus, Rachel shares her “The One Minute Thank You” trick that lands pre-written, customizable drafts in your inbox the moment a donation comes through.Resources & LinksConnect with Rachel on LinkedIn or Instagram or book a demo. You can also learn more about Nonprofit Automation Agency on her website.Check out Rachel's FREE Resources: 5 Ways to Automate Your Stewardship and Create a Remarkable Donor Experience. This show is presented by LinkedIn for Nonprofits. We're so grateful for their partnership. Explore their incredible suite of resources and discounts for nonprofit teams here. Through April 30th, LinkedIn is giving away 6 months FREE of Sales Navigator Core to the first 2,000 eligible nonprofit professionals! Click here to apply.My book, The Monthly Giving Mastermind, is here! Grab a copy here and learn my framework to build, grow, and sustain subscriptions for good.Let's Connect! Send a DM on Instagram or LinkedIn and let us know what you think of the show! Head to YouTube for digital marketing how-to videos and podcast teasers Want to book Dana as a speaker for your event? Click here!

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss MCP (Model Context Protocol) and agentic marketing. You’ll learn how MCP connects AI tools to automate tasks—but also why technical expertise is essential to use it effectively. You’ll discover the three layers of AI adoption, from manual prompts to fully autonomous agents, and why skipping foundational steps leads to costly mistakes. You’ll see why workflow automation (like N8N) is the bridge to agentic AI, and how to avoid falling for social media hype. Finally, you’ll get practical advice on staying ahead without drowning in tech overwhelm. Watch now to demystify AI's next big thing! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-what-is-mcp-agentic-ai-generative-ai.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In-Ear Insights, let’s talk about MCP—Model Context Protocol—and its applications for marketing and what it means. Katie, you said you have questions. Katie Robbert – 00:13 I do. I saw you posted in our free Slack group, Analytics for Marketers, towards the end of last week that one of the models had MCP available. When I see notifications like that, my first thought is: Is this something I need to pay attention to? Usually, you’re really good about letting me know, but I am a fully grown human who needs to be responsible for what I should be paying attention to and not just relying on the data scientist on my team. That was my first gut reaction—which is fair, because you’re a busy person. I like to keep you very busy, and you don’t always have time to let me know what I should be paying attention to. So that was problem one. Problem number two is, yes, you post things typically ahead of when they become more commonplace announcements. I saw a post this morning that I shared with you about MCP and agentic marketing processes, and how it’s going to replace your SEO if you’re doing traditional SEO. For some reason, that raised all of my insecurities and anxieties. Oh my gosh, I really am falling behind because I like to tell people about getting their foundation squared away. If I’m being really honest with myself, I think I focus on that because I feel so lost when I think about AI, agentic processes, MCP, N8N, and all these other things. So I’m like, let me focus on what I know best. But I am now in the boat where I feel like my boat is trailing behind the giant AI yacht. I’m dog-paddling to try to keep up, and I’m just not there. So help me understand a couple of things. One, what is MCP? Two, we’ve talked about agentic AI, but let’s talk about agentic marketing processes. And three, how is someone who isn’t in the weeds with AI every day supposed to not sit at their desk and cry over all of this? Those are big questions, so maybe let’s take them one at a time. All right, let’s start with: What is MCP? Christopher S. Penn – 02:36 Okay, MCP stands for Model Context Protocol. This is something initially advanced by Anthropic, the makers of Claude. It has since been adopted as a standard by OpenAI and now by Google. Sundar Pichai announced at Google Cloud Next last week that the Gemini family will adopt MCP. So what is this? It’s a way for a generative AI model to interface with other systems—a process called tool handling. MCP is a specific kind of tool. You create an MCP server that does stuff behind the scenes. It can be as simple as reading files from your disk or as complicated as using a bunch of SEO tools to optimize a page. It makes that keyword tool available in a tool like Claude Desktop. You could call the tool something like “Make a Katie Joke.” That would be the tool name. You would build an MCP server that talks to an LLM to do all these things behind the scenes. But in Claude, it would just appear as a little tool icon. You’d say, “Hey, Claude, use the Make a Katie Joke tool to make a joke that Katie would make,” and it would talk to that MCP server and kick off all these processes behind the scenes. So think of MCP as a kind of natural language API where, in a conversation with ChatGPT or Claude, you’d say, “Hey, write me some Google Ads with the Google Ads tool.” If you’ve built this tool for yourself or use one of the many free, open MCP servers available (which have data privacy issues), you can add new capabilities to generative AI that the tools don’t have on their own. The thing is, you still have to know what the tool does. You have to build it if it doesn’t exist, integrate it, and know when you should and shouldn’t use it. So as much as it may feel like you’re falling behind, believe it or not, your expertise is actually more important than ever for this. Even though we have MCP, N8N, and workflow automation, all that is software development. It still has to conform to the SDLC. You may not write code, but you better know the SDLC, or you’re going to waste a lot of time. Katie Robbert – 05:19 That’s helpful to know because, again, this may be—let me back up for a second. The information people share on social media is what they want you to see about them. They’re presenting their best selves. I understand that. I do that too as a representative of the company. That’s my job—to represent the best parts of what we do. And yet, my non-professional persona looks at what everyone else is sharing and thinks, Oh my gosh, I really am falling behind. And yet, here I am. My posts are right up there with the others. It’s like, no, I’m not. So I think that’s a little bit of the psychology of where a lot of people are feeling right now. We’re trying our best to look like we know what we’re talking about, but on a daily basis, we’re like, I have no idea what’s happening. So that’s part one. Now I understand what an MCP is. In a nutshell, it’s kind of like a connector between two systems. The commercial version is Zapier—a lot of marketers use Zapier. It’s like, how do I get my data from this place to that place? It transfers information from one system to another. Interestingly enough, I was at the animal shelter we work with yesterday, talking with the executive director. One of the problems she’s trying to solve is that she has literally hundreds of tabs in different spreadsheets of inventory at the shelter. They’re moving to a new shelter, and she’s trying to figure out where everything goes. I was describing to her a system—which doesn’t exist yet—that could include what you’re telling me is an MCP. In a very short version, I explained: We could take all your spreadsheets with all your tabs (which are basically your categories), put those into a database, and then layer generative AI on top of it with some system instructions. Your staff takes a picture of whatever’s been donated. Generative AI recognizes, Okay, that’s two bags of dog food, one thing of wet food, and some pee pads. It looks like those go in Room 121 with the other things, and it adds to the database. I was explaining this process without knowing what that connector was going to be. I said, Let me go back and talk to Chris about it. But I’m fairly certain that’s a thing that can exist. So it sounds like I was describing something I didn’t have the terminology for. Christopher S. Penn – 08:12 Exactly. Right now, here’s the thing—and this is something the LinkedIn hype crowd won’t tell you. As the average user, let me show you what the “getting started with MCP” quick start for non-technical users is. This is from Claude’s website: For Claude Desktop users, get started using MCP in Claude Desktop. First, install Claude Desktop. Second, go into the config file and edit this JSON. Katie Robbert – 08:41 You’ve already lost me. Christopher S. Penn – 08:42 Exactly. Oh, by the way, you also need Node.js on your computer for this to run properly. So when someone says MCP is the future and it’s so easy—well, yes, if you’re a technical person, that’s true. If you’re a non-technical person, this is useless because you’re not going to sit there and install Node.js just to configure a pre-built MCP server. You and your company—if you want to use these capabilities—need to have some IT resources because this is just straight-up IT. This isn’t even AI. This is just, Hey, you need these components in your kitchen before you can cook anything. As cool as MCP is (and believe me, it is very cool), it also has a very high technical bar of entry. So when you see somebody saying, Hey, this is the new AI-enabled MCP SEO, well, yes, that’s true. But what they’re not saying is, you’re probably not going to do this on your own if you’re a non-technical marketer. It’s a business ploy to say, You should hire us as your SEO firm because we’re AI-enabled and we know how to install MCP services. Like, yeah, I can do that too. I just don’t advertise it because it’s kind of a jerk move. Katie Robbert – 10:13 But I think that’s an important point to raise—not that you’re a jerk, but that a lot of us struggle with feeling like we’re not keeping up with AI because of these individuals—professionals, thought leaders, futurists, content creators—who put out this information: This is the future, this is how you’re going to do it. I can probably accurately describe agentic AI, but I couldn’t build it for you. And I think that’s where everyday marketers are struggling. Yeah, I think now I finally understand the concept, but I have no idea how to get started with the thing because there’s nothing out of the box for non-technical people. It’s all still, to your point, a lot of software development, a lot of IT. Even if it’s just installing things so you can get to the drag-and-drop, asking people to suddenly update their config file is maybe one step beyond their technical comfort zone. I just—I know the purpose of this episode is to understand more about MCP and agentic marketing, but I’m struggling to feel like I’m keeping up with being able to execute on all these things that are happening. Because every day, it’s something new, right? Christopher S. Penn – 11:54 So here’s how you get to MCP usage. First, you have to have the basics. Remember, we have the three layers we’ve talked about in the past: Done by you—You’re copy-pasting prompts. There’s nothing wrong with that, but it’s labor-intensive. If you’ve got a great prompt and a way of doing things that works, you’re already ahead of 95% of the crowd who’s still typing one-sentence prompts into ChatGPT. That’s step one. Done with you—How can you put that in some form of automation? We’ve talked about N8N in the past. I’ll give you an example: I put together a workflow for my newsletter where I say, Here’s my newsletter post. I want you to translate it into these four languages. It sends it to Google Gemini, then writes the updated versions back to my hard drive. This saves me about 20 minutes a week because I don’t have to copy-paste each prompt anymore. This is workflow automation. Done for you (Agentic)—To turn this into an MCP server (which makes it an agent, where I’m not part of the process at all), I’d add the MCP server node. Instead of saying, When manual start (when Chris clicks go), you’d have an MCP server that says, When a generative AI tool like Claude requests this, run the process. So, Claude would say, Hey, here’s this week’s newsletter—go make it. Claude Desktop would recognize there’s an Almost Timely Newsletter tool (an MCP server), send the request, the software would run, and when it’s done, it would send a message back to Claude saying, We’re done. That’s how MCP fits in. It takes the whole automation, puts it in a black box, and now it’s an agent. But you cannot build the agent without the workflow automation, and you cannot build the workflow automation without the standard operating procedure. If you don’t have that fundamental in place, you’re going to create garbage. Katie Robbert – 15:59 I think that’s also helpful because even just thinking about the step of translation—I’m assuming you didn’t just say, Hey, Gemini, translate this and accept whatever it gave back. You likely had to build system instructions that included, Translate it this way, then here’s how you’re going to double-check it, then here’s how you’re going to triple-check it. That to me is very helpful because you’re giving me confirmation that the foundational pieces still have to happen. And I think that’s where a lot of these content creators on social platforms talking about MCP and agentic AI are skipping that part of the conversation. Because, as we’ve said before, it’s not the fun stuff—it’s not the push-the-buttons, twist-the-knob, get-the-shiny-object part. It’s how you actually get things to work correctly. And that’s where, as a regular human, I get caught up in the hype: Oh, but they’re making it look so easy. You just do the thing. It’s like the people on social who post, Look how perfect my sourdough bread came out, but they’re not showing you the 17 loaves and five years of trial and error before this perfect loaf. Or they’re faking it with a mock background. I’m saying all this because I need that reminder—it’s all smoke and mirrors. There’s no shortcut for getting it done correctly. So when I see posts about agentic marketing systems and SEO and email marketing—You’re not even going to have to participate, and it’s going to get it right—I need that reminder that it’s all smoke and mirrors. That’s my therapy session for the morning. Christopher S. Penn – 18:33 And here’s the thing: If you have well-written standard operating procedures (SOPs) that are step-by-step, you can hand that to someone skilled at N8N to turn it into a workflow automation. But it has to be granular—Click here, then click here. That level of detail is so important. Once you have an SOP (your process), you turn it into workflow automation. Once the workflow automation works, you bolt on the MCP pieces, and now you have an agent. But here’s the danger: All these things use APIs, and APIs cost either time, money, or resources. I’m using Gemini’s free version, which Google trains on. If I was doing this for a client, I’d use the paid version (which doesn’t train), and the bills start coming in. Every API call costs money. If you don’t know what you’re doing and you haven’t perfected the process, you might end up with a five-figure server bill and wonder, What happened? Part of MCP construction and agentic AI is great development practices to make your code as efficient as possible. Otherwise, you’re going to burn a lot of money—and you may not even be cash-positive. Katie Robbert – 21:27 But look how fast it is! Look how cool it is! Christopher S. Penn – 21:36 It is cool. Katie Robbert – 21:38 Going back to the original question about MCP—I read a post this morning about agentic marketing systems using MCP and how it’s going to change the way you do SEO. It said it’s going to optimize your content, optimize for competitors, find keywords—all of which sounds really cool. But the way it was presented was like, Oh, duh, why am I not already doing this? I’m falling behind if I’m not letting the machines do my SEO for me and building these systems for my clients. This conversation has already made me feel better about where I am in terms of understanding and execution. Going back to—you still have to have those foundational pieces. Because agentic AI, MCPs, generative AI, shiny objects—it’s all just software development. Christopher S. Penn – 22:59 Exactly. It’s all software development. We’ve just gotten used to writing in natural language instead of code. The challenge with shiny objects is that the people promoting them correctly say, This is what’s possible. But at a certain point, even with agentic AI and MCP automations, it’s more efficient to go back to classical programming. N8N doesn’t scale as well as Python code. In the same way, a 3D printer is cool for making one thing at home, but if you want to make 10,000, classical injection molding is the way to go. New technology doesn’t solve old problems. Katie Robbert – 23:47 And yet, it’s going to happen. Well, I know we’re wrapping up this episode. This has been incredibly helpful and educational for me because every week there’s a new term, a new thing we’re being asked to wrap our heads around. As long as we can keep going back to It’s just software development, you still need the foundation, then I think myself and a lot of other people at my skill level are going to be like, Whew, okay, I can still breathe this week. I don’t have to panic just yet. Christopher S. Penn – 24:23 That said, at some point, we are going to have to make a training course on a system like N8N and workflow automation because it’s so valuable for the boring stuff—like keyword selection in SEO. Stay tuned for that. The best place to stay tuned for announcements from us is our free Slack group, Trust Insights AI Analytics for Marketers, where you and nearly 5,000 marketers are asking and answering each other’s questions every day about data science, analytics, and AI. Wherever you watch or listen to the show, if there’s a channel you’d rather have it on, go to trustinsights.ai/tipodcast to find us at all the places fine podcasts are served. Thanks for tuning in—I’ll talk to you on the next one! (Transcript ends with AI training permission notice.) Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

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XORsearch: Searching With Regexes Didier explains a workaround to use his tool XORsearch to search for regular expressions instead of simple strings. https://isc.sans.edu/diary/XORsearch%3A%20Searching%20With%20Regexes/31834 MCP Security Notification: Tool Poisoning Attacks Invariant labs summarized a critical weakness in the Model Context Protocol (MCP) that allows for "Tool Poisoning Attacks." Many major providers such as Anthropic and OpenAI, workflow automation systems like Zapier, and MCP clients like Cursor are susceptible to this attack https://invariantlabs.ai/blog/mcp-security-notification-tool-poisoning-attacks Making :visited more private Google Chrome changed how links are marked as visited . This new partitioning scheme was introduced to improve privacy. Instead of marking a link as visited on any page where it is displayed, it is only marked as visited if the user clicks on the link while visiting the particular site where the link is displayed. https://developer.chrome.com/blog/visited-links

Use promo code TKOPOD for 20% off Gumloop.I sat down with Max Brodeur-Urbas, founder of Gumloop, and got into all things AI automation. Max described Gumloop as an intuitive drag-and-drop tool where you can build powerful AI workflows without writing a single line of code, think Zapier, but supercharged with AI.We explored how Gumloop isn't just great for automating tasks like web scraping and sales outreach; it's also a huge opportunity for people looking to start their own businesses or side hustles. Max shared how you can become an in-demand Gumloop expert, build an agency offering custom automation services, or even create businesses by white-labeling Gumloop flows. We also touched on real-world examples of individuals successfully monetizing their skills and ideas with Gumloop.Max also gave us a sneak peek at their upcoming co-pilot feature that's designed to make creating workflows even easier and more accessible.Connect with Max:X (formerly Twitter)LinkedInTimestamps below. Enjoy!---Watch this on YouTube instead here: tkopod.co/p-ytAsk me a question on or off the show here: http://tkopod.co/p-askLearn more about me: http://tkopod.co/p-cjkLearn about my company: http://tkopod.co/p-cofFollow me on Twitter here: http://tkopod.co/p-xFree weekly business ideas newsletter: http://tkopod.co/p-nlShare this podcast: http://tkopod.co/p-allScrape small business data: http://tkopod.co/p-os---00:00 Introduction to Gumloop and Its Value Proposition02:59 AI-First Automation: The Future of Workflows05:52 Real-World Applications of Gumloop09:12 Understanding Automation: The Role of Workflows12:05 Case Studies: How Businesses Use Gumloop15:01 The Next Steps for Gumloop: Co-Pilot Feature17:53 Challenges and Future Directions in Automation23:08 Growth and Opportunities in AI Business24:33 Identifying Exceptional Talent in AI26:30 Creative Use Cases for AI and Automation28:22 Building Scalable Workflows with Gum Loop30:44 Expert Marketplace and Demand Dynamics32:35 Transitioning from User to Expert33:06 Automating Customer Engagement and Research34:33 Sales Prospecting and Meeting Preparation36:28 Leveraging Competitor Insights for Marketing39:52 Programmatic SEO and Content Generation42:44 White Labeling and Business Opportunities with Gum Loop43:43 Choosing the Right AI Models for Tasks

In this episode I sit down with Wade Foster, the founder and CEO of Zapier. We explore Zapier's unique path, from building its first integrations on nights and weekends in Missouri to scaling with minimal funding through Y Combinator. Wade shares how “don't hire till it hurts” became a guiding mantra, why Zapier embraced remote work early on, and how the rise of AI is unlocking new automation possibilities through Zapier Agents. Whether you're curious about seedstrapping, enterprise workflows, or the frontier of AI benchmarks, this conversation delivers practical insights for building a lean, innovative company.00:00:00 - “Don't Hire Till It Hurts” Mantra00:01:24 - The First Zap & Early Users00:03:42 - Joining YC & Minimal Funding00:05:09 - Profitability & Lean Hiring00:06:57 - SEO for Marketplace Growth00:08:10 - AI Agents & Unstructured Data00:10:28 - Enterprise Playbook & GTM00:13:14 - ARC Prize & Future of AGI00:17:29 - Remote Culture at Zapier00:20:29 - Seedstrapping Advice in AI00:25:09 - Reimagining Processes w/ AI00:28:54 - Final Insights & Future

Join JJ Englert in this episode of 'This Week in No-Code + AI' as he delves into the intersection of AI and no-code development. This week, JJ reshares an insightful conversation with Kieran from No-Code Life about JJ's journey with AI agents and notable experiences across platforms like Zapier, lindy.ai, and n8n. They discuss JJ's recent course on AI agents, various no-code tools, and the massive impact AI integration is making in the industry. Highlights include no-code platforms' response to the AI boom, successful real-world applications, and future forecasting for tech and workflows. Finally, stick around for in-depth examples as JJ demonstrates the powerful capabilities of AI agents in practical scenarios.00:00 Introduction and Host Welcome00:26 Exciting Conversation with No-Code Life01:01 Latest News in No-Code and AI01:52 Bubble's AI Vision and Community Event02:53 Softr's New Database Product03:47 Deep Dive into AI Agents04:59 JJ's Journey and Insights07:10 Building AI Agents: Challenges and Learnings18:41 Modular Approach to AI Agents25:33 Podcast Producer Agent33:06 The Evolution of No-Code Platforms33:36 Introduction to NAN and Its Capabilities34:01 Exploring Lindy AI for Business Automation35:20 Combining Workflows for Enhanced Functionality36:37 AI Automation vs. AI Agents40:35 Real-World Use Cases and Community Contributions51:05 Challenges and Opportunities in AI and No-Code52:42 The Future of AI and No-Code Integration59:05 Learning and Adapting to AI Agents01:01:18 Conclusion and Course Information

In this fascinating episode, we dive deep into the race towards true AI intelligence, AGI benchmarks, test-time adaptation, and program synthesis with star AI researcher (and philosopher) Francois Chollet, creator of Keras and the ARC AGI benchmark, and Mike Knoop, co-founder of Zapier and now co-founder with Francois of both the ARC Prize and the research lab Ndea. With the launch of ARC Prize 2025 and ARC-AGI 2, they explain why existing LLMs fall short on true intelligence tests, how new models like O3 mark a step change in capabilities, and what it will really take to reach AGI.We cover everything from the technical evolution of ARC 1 to ARC 2, the shift toward test-time reasoning, and the role of program synthesis as a foundation for more general intelligence. The conversation also explores the philosophical underpinnings of intelligence, the structure of the ARC Prize, and the motivation behind launching Ndea — a ew AGI research lab that aims to build a "factory for rapid scientific advancement." Whether you're deep in the AI research trenches or just fascinated by where this is all headed, this episode offers clarity and inspiration.NdeaWebsite - https://ndea.comX/Twitter - https://x.com/ndeaARC PrizeWebsite - https://arcprize.orgX/Twitter - https://x.com/arcprizeFrançois CholletLinkedIn - https://www.linkedin.com/in/fcholletX/Twitter - https://x.com/fcholletMike KnoopX/Twitter - https://x.com/mikeknoopFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturck(00:00) Intro (01:05) Introduction to ARC Prize 2025 and ARC-AGI 2 (02:07) What is ARC and how it differs from other AI benchmarks (02:54) Why current models struggle with fluid intelligence (03:52) Shift from static LLMs to test-time adaptation (04:19) What ARC measures vs. traditional benchmarks (07:52) Limitations of brute-force scaling in LLMs (13:31) Defining intelligence: adaptation and efficiency (16:19) How O3 achieved a massive leap in ARC performance (20:35) Speculation on O3's architecture and test-time search (22:48) Program synthesis: what it is and why it matters (28:28) Combining LLMs with search and synthesis techniques (34:57) The ARC Prize structure: efficiency track, private vs. public (42:03) Open source as a requirement for progress (44:59) What's new in ARC-AGI 2 and human benchmark testing (48:14) Capabilities ARC-AGI 2 is designed to test (49:21) When will ARC-AGI 2 be saturated? AGI timelines (52:25) Founding of NDEA and why now (54:19) Vision beyond AGI: a factory for scientific advancement (56:40) What NDEA is building and why it's different from LLM labs (58:32) Hiring and remote-first culture at NDEA (59:52) Closing thoughts and the future of AI research

In episode 68, Brian and Alex dive into why you need to think of your brands content as social show. This playbook is a game changer for success in 2025.Here's 5 things you can get done faster on Wix Studio:● Scale content with dynamic pages and reusable assets● And integrate with Meta CAPI, Zapier, Google Ads and more in seconds● A/B tests are a given—create them in days, not weeks with intuitive design tools● Connect tracking and analytics tools like GA4 & Semrush in seconds● And manage all your clients' social media from one dashboardAll of that right here: https://l.marketingexamined.com/wixpoAs always, appreciate you all listening, and don't forget to leave us a review and submit your questions for Alex and Brian at the email address below. See you next week.--------------------WANT FREE GAME? Or just have a question for Brian & Alex?Submit your questions here: www.marketingexamined.com/podcastOR email us at podcast@marketingexamined.com--------------------WATCH THE PODCAST ON YOUTUBE:For full video versions, and short highlights of every episode, head tohttps://www.youtube.com/@marketingexamined?sub_confirmation=1NEWSLETTER:For growth playbooks, deep dives, and marketing case studies, get subscribed atwww.marketingexamined.com--------------------Follow Alex & Brian on Twitter and IGwww.twitter.com/@alexgarcia_atxwww.twitter.com/@brian_blum1

In this episode of Grow a Small Business, host Troy Trewin interviews Marissa Seeley, co-founder of By Design Physio, a physiotherapy business based in Hobart, Australia, providing high-quality physiotherapy services with an emphasis on personalised care, injury rehabilitation, and ongoing physical wellness built around consistency in team culture and service delivery, ensuring that every client receives a top-tier experience.   Other Resources: Marketing Funding Flywheel eBook Why would you wait any longer to start living the lifestyle you signed up for? Balance your health, wealth, relationships and business growth. And focus your time and energy and make the most of this year. Let's get into it by clicking here.   Troy delves into our guest's startup journey, their perception of success, industry reconsideration, and the pivotal stress point during business expansion. They discuss the joys of small business growth, vital entrepreneurial habits, and strategies for team building, encompassing wins, blunders, and invaluable advice.   And a snapshot of the final five Grow A Small Business Questions: 1. What do you think is the hardest thing in growing a small business?   One of the hardest things in growing a small business is scaling without losing quality or company culture. Finding and retaining the right people is a major challenge, as is managing cash flow during rapid growth. Additionally, the emotional ups and downs of entrepreneurship can be difficult to navigate.   2. What's your favorite business book that has helped you the most?   One of Marissa's favorite business book is The Code of the Extraordinary Mind by Vishen Lakhiani. It talks about the 12 elements of life. And if you can fill all of the buckets, then you'll feel whole, which is really nice.   3. Are there any great podcasts or online learning resources you'd recommend to help grow a small business?   Marissa says “Build with Leila Hormozi”is always in her ears all the time. She says it is very helpful to anyone that has staff because she simplifies all concepts into manageable, bite sized pieces that you can apply literally that day, so that you're not just listening, you're actually applying.   4. What tool or resource would you recommend to grow a small business?   One of the most effective tools for growing a small business is leveraging Google Reviews and SEO to improve online visibility. Customer relationship management (CRM) software like HubSpot or ActiveCampaign can help manage customer interactions and automate marketing. Automation tools like Zapier can streamline operations and save time by connecting different apps and services.   5. What advice would you give yourself on day one of starting out in business?   If I could give myself advice on day one, I would emphasize the importance of focusing on building systems rather than just working hard. Patience is key—success doesn't happen overnight, and consistent effort pays off in the long run. Networking and building relationships early on can open doors to new opportunities. Lastly, keeping a close eye on finances from the beginning can prevent many future challenges. Book a 20-minute Growth Chat with Troy Trewin to see if you qualify for our upcoming course. Don't miss out on this opportunity to take your small business to new heights! Enjoyed the podcast? Please leave a review on iTunes or your preferred platform. Your feedback helps more small business owners discover our podcast and embark on their business growth journey. Quotable quotes from our special Grow A Small Business podcast guest:   “Growth isn't just about numbers—it's about building a team and culture that delivers consistently, every single day.” - Marissa Seeley   “Google Reviews became one of our biggest game-changers. We didn't just rely on word of mouth; we made sure potential clients could see real results before they even walked through the door.” - Marissa Seeley   “The best investment we made wasn't just in marketing or operations—it was in ourselves. Learning from mentors and refining our leadership changed everything.” - Marissa Seeley

Hey Rainmakers! It's Chelsey and Stephen, and we're back with the final episode of our three-part Rainmaker Method series—this one's all about AUTOMATION. If you're craving more time freedom in your life and business, this episode is for you. We're diving into what it looks like to make your business more hands-off, and how the automation pillar fits into the Rainmaker Method alongside leverage and solution. Automation gets tossed around a lot, but we're breaking it down in a way that makes it practical and doable—even if you're just getting started. We share our early days of building systems from scratch, learning tools like Zapier (or Zapier... the debate is real!), and how a few small tweaks can lead to big time savings. This episode is loaded with simple ways to buy back your time through smart software, outsourcing, and AI tools that are more accessible than ever. Chelsey gets real about the fears and perfectionism that hold so many of us back from outsourcing or setting up automation. We talk about that mindset shift—from "no one can do it like me" to "someone can do it 80% as well and free up my brain space!" Stephen walks through how to identify your buyback rate, hire your first virtual assistant, and how to actually communicate your style when passing off tasks. We wrap up by showing how all three pillars—leverage, solution, and automation—come together inside our Amazon-based businesses and the Rainmaker Mastermind. If you're building something big and want to do it without sacrificing your time, your family, or your health, this framework is the compass we keep coming back to. Let's build businesses that work for us, not the other way around. Links for this episode: Connect with us: ► Rainmaker Instagram: @therainmakerfamily ► Chelsey Instagram: @chels_diaz ► Stephen Instagram: @steezdiaz ► TikTok: @therainmakerfamily ► Facebook: @diazfamilylegacy ► Website: therainmakerfamily.com Join Our Next Rainmaker Challenge - How To Make Passive Income From Home: https://therainmakerchallenge.com Save On Our Favorite Things: https://rainmakerfamily.com/deals Watch The Million Dollar Mama Case Study: https://www.makeitrainmomma.com/casestudy   Episode Minute by Minute:  0:00 – Introduction to Part 3: Automation 1:30 – Passive Income vs. Leveraged Income 4:00 – Relative Income Explained 6:00 – Our First Steps into Automation 8:00 – What Holds People Back from Outsourcing 10:00 – Perfectionism, Communication, and the “80% Rule” 13:00 – How to Hire Your First Virtual Assistant 16:00 – Fiverr, Upwork, OnlineJobs.ph: Our Favorite Tools 18:00 – AI Tools and Automating Repetitive Tasks 20:00 – Letting AI Save You Time in Content and Communication 21:00 – Recap of the Rainmaker Method 23:00 – How We Apply This on Amazon 28:00 – Want Support? Join Our Mastermind

You prolly missed a lot of this AI news:

Send us a textDiscover the art of aligning your financial priorities with personal goals, as Brigham Dallas, founder of Hello Sugar, joins us to share his transformative strategies. Learn from Brigham's approach to smart spending and managing finances effectively, inspired by Ramit Sethi's principles. With insights on organizing financial goals and maintaining harmony in personal relationships, Brigham's wisdom promises to reshape your perspective on money management.Our conversation doesn't stop at personal finance. We tackle the complexities of franchising, spotlighting Augusta Lawn Care's journey of expansion across the United States. From understanding state regulations to strategic positioning in key markets like Chicago and Dallas, we unravel the intricacies of scaling a business successfully. Brigham's story of maintaining a work-life balance while managing multiple companies offers a blueprint for entrepreneurs striving for growth without sacrificing personal well-being.To round out this engaging episode, we focus on the power of automation and aligning incentives to ensure business success. Explore how tools like Zapier and AI can revolutionize operations, and learn from real-world examples of aligning employee goals with business objectives to boost performance. With stories of personal growth, travel, and the importance of peer support, this episode is packed with actionable insights and heartfelt moments that will leave you inspired and motivated. To Reach Jordan:Email: Jordan@Edwards.Consulting Youtube:https://www.youtube.com/channel/UC9ejFXH1_BjdnxG4J8u93Zw Facebook: https://www.facebook.com/jordan.edwards.7503 Instagram: https://www.instagram.com/jordanfedwards/ Linkedin: https://www.linkedin.com/in/jordanedwards5/ Hope you find value in this. If so please provide a 5-star and drop a review.Complimentary Edwards Consulting Session: https://calendly.com/jordan-555/intro-call

I'd love to hear from you! Send me a text message here and let me know what you thought about the episode. :)Today, I'm sharing something I normally reserve for my paid mastermind clients: a ready-to-implement, 4-part email welcome series designed specifically for monthly donors. Even better? It's built in Flodesk so you can download and customize it immediately for your organization!When you're capturing new monthly donors, are you missing a crucial opportunity to take them through a well-timed sequence?I'll break down the four strategically timed emails that I recommend sending: an immediate thank you, a personal message from leadership, an impact story that demonstrates their support in action, and a 1-month anniversary celebration. Each message serves a beautiful purpose in strengthening donor connection.And using Zapier, you can seamlessly connect this entire sequence with popular donation platforms like Givebutter, FundraiseUp, Classy, and iDonate. Your monthly donors are the backbone of sustainable funding - I can't wait to see how you use these email templates. Click HERE to download them for FREE.Resources & LinksDownload my FREE 4-part Monthly Giving Email Welcome Series templates here. And if you need implementation support, book a VIP Intensive with me.If you're interested in incorporating text messaging with 99% open rates into your donor engagement strategy, join me and the team at Tatango for a FREE webinar on March 26th at 1:30pm ET.Try out my favorite email marketing software, Flodesk, and get 50% off your first year!  This show is presented by LinkedIn for Nonprofits. We're so grateful for their partnership. Explore their incredible suite of resources and discounts for nonprofit teams here.My book, The Monthly Giving Mastermind, is here! Grab a copy here and learn my framework to build, grow, and sustain subscriptions for good.Let's Connect! Send a DM on Instagram or LinkedIn and let us know what you think of the show! Head to YouTube for digital marketing how-to videos and podcast teasers Want to book Dana as a speaker for your event? Click here!

Register here for GRE's live online event to learn about ‘Cleveland's Amazing Cash Flow Opportunities' on Thursday, March 20th. Keith discusses the impact of recent federal job layoffs, emphasizing the importance of diversifying income sources. 40% of Americans experience job loss at least once in their careers, with men more affected. He advocates for real investing in real estate as a safety net. Seth Williams joins the conversation to discuss the use of AI in everyday life and real estate investing. Hear a practical example of how AI can help with real estate due diligence, such as reviewing municipal regulations and zoning rules. Resources: Check out Seth's resources, including the Pulse Inner Circle community, to learn more about practical applications of AI. Show Notes: GetRichEducation.com/543 For access to properties or free help with a GRE Investment Coach, start here: GREmarketplace.com GRE Free Investment Coaching:GREmarketplace.com/Coach Get mortgage loans for investment property: RidgeLendingGroup.com or call 855-74-RIDGE  or e-mail: info@RidgeLendingGroup.com Invest with Freedom Family Investments.  You get paid first: Text FAMILY to 66866 Will you please leave a review for the show? I'd be grateful. Search “how to leave an Apple Podcasts review”  For advertising inquiries, visit: GetRichEducation.com/ad Best Financial Education: GetRichEducation.com Get our wealth-building newsletter free— text ‘GRE' to 66866 Our YouTube Channel: www.youtube.com/c/GetRichEducation Follow us on Instagram: @getricheducation Complete episode transcript:   Automatically Transcribed With Otter.ai    Keith Weinhold  0:01   Welcome to GRE. I'm your host. Keith Weinhold, amidst 10s of 1000s of federal workers recently getting fired. It's not rare, because throughout their working career, layoffs hit 40% of Americans. How do you hedge yourself against the danger of losing your job? Then get a fascinating understanding of how you can use AI to improve your everyday life, and some applications for AI in real estate investing today on Get Rich Education.   Since 2014 the powerful get rich education podcast has created more passive income for people than nearly any other show in the world. This show teaches you how to earn strong returns from passive real estate investing in the best markets without losing your time being a flipper or landlord. Show Host Keith Weinhold writes for both Forbes and Rich Dad advisors, and delivers a new show every week since 2014 there's been millions of listener downloads in 188 world nations. He has a list show guests and key top selling personal finance author Robert Kiyosaki, get rich education can be heard on every podcast platform, plus it has its own dedicated Apple and Android listener phone apps build wealth on the go with get rich education podcast. Sign up now for the get rich education podcast or visit get rich education.com   Corey Coates  1:19   You're listening to the show that has created more financial freedom than nearly any show in the world. This is get rich education.   Keith Weinhold  1:35   Welcome to GRE from Sunbury, Pennsylvania to Sun Valley, Idaho and across 488 nations worldwide. I'm Keith Weinhold, and I'm grateful to have you with me here for another week. This is get rich education. I'm known as the guy that back in 2015 was the first person to explain how real estate pays you five distinct ways at the same time when mass federal layoffs hit recently, you know you can learn something really important at a time like this. And no, it's not about the Washington, DC real estate market. That's not where I'm going here. That's not the bigger lesson, unless you're perhaps in the DC real estate market, it's shaping up to be 10s of 1000s of federal workers that are getting the boot as the result of the new administration in charge. We'll see where the number lands. But the thing is, is that federal jobs have long been deemed as the most secure, and yet more firings are coming. So if they're the most secure jobs, then what does that say about you and the safety of your job in both your near term future and your long term future, whether you're in the public sector or the private sector. I've worked in both sectors, and yeah, sadly, this is not such a rare occurrence. Many sources cite that roughly 40% of Americans get fired at least once during their working life. Job loss is more likely for a man than a woman, and it's happened to me. Yep, even I've taken that awkward and awful feeling box full of desk stuff, walk. The big lesson here is that you need to grow a second source of income, Experian and fed data. They cite that the average debt per consumer is about $39,000 worth of student loan debt, and another $24,000 worth of auto loan debt and another $6,500 worth of credit card debt. Well, those are not good debt types, like real estate debt is where you can outsource the debt to a tenants. Instead, you are the one that has to pay these type of debts, and that's why a lot of job losers are going to decline into a financial tailspin. They will default on their payments. They will become delinquent, they will descend into bankruptcy, and they will have a destroyed credit score, and the incidence of depression and suicide that even goes up for these people. Now, as we know, most of the so called financial advice out there that targets budgeting, how to cut your expenses. That's okay. You can do a little of that, but if you lose your job, a bundled cell phone plan in ditching your $7 latte is hardly going to help you. See, here's the thing that a lot of people fail around. Lies, even if you get a promotion and a raise at work, it still only pads a dangerous single source. It's still just a sole income source. Instead, what's powerful is, rather than budgeting, it is increasing your income, but it needs to be a source outside of your day job. That's how you get income diversification at the same time. I mean, you could take on a part time job or freelance work and accomplish that, but see the problem there is that you've lost your irreplenishable time. That's a one way street that time is never coming back. Don't live below your means. Grow your means. Owning an income property that can completely solve all of these problems, even a low cost income property of, say, $200,000 and Okay, a property like this, that might start with just 100 to $300 per month of residual cash flow, but that amount tends to rise even faster than inflation, because, as we know, your mortgage payment stays fixed. That's how that happens, and additionally, your 200k property at just 5% annual appreciation that grows to 255k in just five years. And if you only made a 20% down payment of 40k on this well, that property that grows to over 100k of equity in five years because you've got both the appreciation and the tenant made loan pay down. There is more to this. Besides increasing your monthly income, you can often take a chunk of this 100k plus equity with a cash out refinance that is a tax free windfall event, you heard that, right? Tax free, and you still get to hold on to the property. So a simple, low cost 200k property, just one of those, it increases your income now it gives you a second source of income, and it simultaneously gives you a leveraged windfall chunk that you can access in one nice, tax free cash lump. And one thing's for sure, you want to get a loan for income property and get that property now why you have your job? Because when you lose your job again, 40% of the time, no mortgage underwriter will qualify you when you're unemployed, relying on one income source that is kind of like playing Jenga on a wobbly legged table. So really, the bottom line here is that widespread federal job firings, they have really brought to light how many people are vulnerable with just one source of income. Why would anyone do that? Owning investment property solves the problem. Plant that second income seed now you can't have just one income stream that is too close to zero, that is precariously close to zero, and much of your life's thought pathways. They're about expectations, your expectations for the future, the way you think about your future, and if there's even a looming threat of losing your job in the future, you know that might not happen, but just the mere threat of losing your job that can induce stress. So that's why you want to do something about that, and I have a great resource to share with you shortly that me and the team here at GRE are going to help you with in you getting that vital income diversification a second source, but first Tax Day is next month. If you aren't getting an extension, you be pulling your tax documents together Trump tax changes are anticipated any time here, the highest federal income tax rate is expected to stay at 37% the standard deductions are moving up soon, indexed to inflation, $15,000 if you're single, $30,000 if you're married. Basically this means that things like your donation receipts. You know what? They are not worth saving and tracking unless they exceed those standard deduction amounts. And I like easy ways to remember things as you're pulling together documents for your tax preparer, if you are the tax preparer yourself, a w2 form shows. Income from your employer. A 1099 form shows income that's not from an employer, really. That's the distinction and an easy way to remember it. And to my point earlier about having more than just one vulnerable source of income, I hope that your 1099 income not from an employer, like the rents that your property manager collected for you that those 1090 nines are increasing faster than your w2 income, which is from an employer.    America's first car free neighborhood. I sent you more about that in our newsletter recently, and you said that you really liked learning about it. Yes, America's first car free neighborhood. It's had its share of detractors and skeptics and supporters since it broke ground in 2021 these are largely rental apartments in Tempe, Arizona, that is just the east of downtown Phoenix. Residents get around with light rail and E bikes. Studio apartments start around $1,300 a month, and three bedroom units around $2,700you can meet your neighbors more and get to know your community when everyone's not in their car and garage bubbles. So I found this really interesting. One resident of America's first car free neighborhood said We've probably made more connections here in six months than when we lived in the suburbs for 15 years. That was interesting to learn about in our newsletter.    Coming up on the second half of the show today, an expert guest and I are talking AI, think about all the time that this is going to save you. Think about all the brain damage that this is going to save you. Think about how much better informed you're going to be and how much smarter you'll feel. That's coming up shortly. Hey with what I mentioned earlier, I am announcing that coming up in just a couple weeks, here on March 20, it is our live online event for an amazing Cleveland cash flow opportunity. And why Cleveland now? Well, healthy, real world monthly rents are more than 1% of home prices. That is a lucrative ratio. And on top of this, we are layering the BRRRR strategy by rehab, rent, refinance and repeat, where cash flow averages more than $500 per door. This strategy, it allows you to put fewer dollars in the deal, and that's why it's really popular. Be sure to show up and learn more. Our last live online event was last year. It was for BRRRRs, and we had a record 538 registrants. We're going to examine single family properties in C and C plus neighborhoods. Those are the investor sweet spots here. And besides learning about real estate due diligence and the Cleveland market, there will also be a buying opportunity. Yes, the bur strategy allows you to invest with that low equity position, yes, both investor advantage areas, with the BRRRR strategy layered on top of it, it's the right opportunity for you if you need to build that second or third source of income. And besides all that, there's just the simple fact that amidst the well known national undersupply of housing. Entry Level homes, like these ones in Cleveland, they are even fewer. That entry level segment really has the scarce supply. I mean, you're going to own a scarce asset that everyone wants and needs. And this live event is one of course you can join from the comfort of your own home. It has two co hosts. You are going to be joined by one of our terrifically qualified GRE investment coaches and one of our top partners who has helped investors create wealth and grow their portfolios for over 20 years. I know him. I've had dinner with him. You can register now at GREwebinars.com Again, it is March 20. Our last one had 538 registrants. That was a record. Register while you can it is open now at GREwebinars.com more next. I'm Keith Weinhold. You're listening to GRE   you know what's crazy. Your bank is getting rich off of you. The average savings account pays less than 1% it's like laughable. Meanwhile, if your money isn't making at least 4% you're losing to inflation. That's why I saw. Putting my own money into the FFI liquidity fund. It's super simple. Your cash can pull in up to 8% returns, and it compounds. It's not some high risk gamble like digital or AI stock trading. It's pretty low risk because they've got a 10 plus year track record of paying investors on time in full every time. I mean, I wouldn't be talking about it if I wasn't invested myself. You can invest as little as 25k and you keep earning until you decide you want your money back. No weird lockups or anything like that. So if you're like me and tired of your liquid funds just sitting there doing nothing. Check it out. Text family to 66866, to learn about freedom family investments, liquidity fund again. Text family to 66866    Hey, you can get your mortgage loans at the same place where I get mine, at Ridge lending group NMLS, 42056, they provided our listeners with more loans than any provider in the entire nation because they specialize in income properties. They help you build a long term plan for growing your real estate empire with leverage. You can start your pre qualification and chat with President Caeli Ridge personally. Start now while it's on your mind at Ridge lendinggroup.com that's Ridge lendinggroup.com   Blair Singer  16:35   this is Rich Dad, sales advisor, Blair Singer. Listen to get rich education with Keith Weinhold. And above all, don't quit your Daydream.   Keith Weinhold  16:51   How do you really use AI? Can you believe if you have a question about anything in life, 90% of the time, it already makes more sense to ask chatgpt than a human being. That's what my longtime friend says. He's with us today, and he hosts the terrific R E tipster YouTube channel. Welcome into GRE Seth Williams,    Seth Williams  17:15   hey, Keith, great to be here. Thanks for having me. Seth, you've been interested in AI for years. Tell us how your perspective has evolved over time. A lot of people have pretty big variations in how much they use AI and how much they're even aware of it. Personally, I use it every day, like many, many times a day. Chatgpt is open almost all the time, and I use it for almost anything you can imagine, like when I have a question about almost anything, it makes more sense to ask chatgpt than it does to do a talk to a human, because I can get direct answers. It's armed with pretty much all the information that's publicly available on the world is an incredible resource. And when I talk to people and I ask them, like, Hey, do you use chatgpt? And they either say, What are you talking about, or they say, Yeah, I've used it once. It like, it just hurts me. You know, it's like, seriously, you have a superpower at your disposal here. You're not using it. It's kind of like what the internet was back in 1995 or something, where, like, some people kind of got it, but a lot of people didn't get it yet. It's pretty crazy when you can harness the power of not just chat GPT, but all of this AI stuff that's available now. Like, there's incredible, very powerful leveraging opportunity here.    Keith Weinhold  18:27   I use it about every other day. I bet after talking to you, it's gonna make me want to use it more. But, yeah, the guy that cuts my hair, he's only 25 years old. He doesn't seem very familiar with this. But like you said, it's a lot like Google in 1995 to maybe 1998 like, people just didn't automatically think of Googling something. And it's beginning to get that way, I think with using an AI like chatgpt to answer your questions, why don't you tell us about some of the biggest misconceptions that people have about AI?    Seth Williams  18:54   Well, that's good question. I guess it kind of depends on where they're coming from and what they are even aware of in terms of what is capable of. But I know one thing I hear from time to time is people will say, Well, I'm not a content creator, so I don't really have a use for that, like it makes sense if you're like a blogger or a podcaster. And I guess the good thing is that they at least have some awareness of what it can be used for. But things like chatgpt can be used by pretty much anybody who knows how to type on a computer or even speak to their phone, the chatgpt mobile app, for example, I just love this thing you do have to be a paying Plus member, which is 20 bucks a month. That is a laughably inexpensive price for everything that chatgpt could do for you, especially a mobile app. I can turn this thing on. I can use it as a camera to point to anything and have it give me insights and instructions on how to deal with this thing, whether it's a plumbing problem. I was just using it this morning. I had my phone set up on a tripod on my desk, pointed at Zapier trying to figure out how to make two complex softwares work together, and I just had to speak to it in real time. Time and ask it, this is what I'm trying to do. How do I do this? I don't get it, and it explained exactly what to do. And this was help that I could have paid a consultant money for, but it just came from this app, and all has to do is just look at my screen and it understands all of it. It sees things that I don't see. I know people that use chatgpt as the therapist. I've never done that, but I've know a whole lot of people that do that kind of thing. Yeah, and it gives them legitimate, useful feedback, and it's available 24/7, and it doesn't cost 100 plus dollars per session to talk to them.   Keith Weinhold  20:32   You the listener right now are thinking about all the jobs that this is displacing, surely, but why don't we pull back and think about no Seth. If someone is completely new to AI, what's the first thing that they should try to use it for?   Seth Williams  20:46    If you are a real estate person? Specifically, I don't know if everybody listening to this is necessarily, but as a real estate investor, the first thing I ever used it for was writing property descriptions for me, like when I had a property I was trying to sell. I know there's a great way to explain this thing, but I don't really know how to do it in my own head. Yeah. And you can just feed it basic information about the property and say, Hey, write me a beautiful, compelling property description that will make these things sellable and make people you know, respond with interest and that kind of thing. And just do that, and you'll see what I'm talking about it. It's an incredible writer. It does a great job. What's your question about where do they start with chat GPT? Is that what you're asking? Yeah, if one isn't familiar with it, where should they start? Well, another thing you could do daily use type thing. So something that I've used chat GPT for, I've taken a picture of my closet in the different clothes I have to wear, and I send it to chat gpati and say, Hey, what should I wear today? Like, what different articles of clothing would you recommend that I pair together? You could do this with your cupboard. Say, Hey, here's what I have in my cupboard. Tell me what I can make with this and then give me the recipe to make it. You could do this at the drug store. You'd go take a picture of the shelf and say, Hey, I have a splitting headache. Show me what on this shelf will solve my problem right now and get rid of my headache. I've actually got this problem worse than most people, where I can be looking right at the solution, and I don't see it like it's right there in front of me, but I miss it. But chatgpt doesn't miss anything like, if it's in the picture, or even in the the live vision camera, it's like a live video feed that you can point at anything. Like it will see it, and it will point out stuff that you very likely are missing.   Keith Weinhold  22:24   That's amazing. I haven't used its image capability that way yet, and really that brings up Seth. There are so many AI tools available, like an explosion these past couple years. How is a person supposed to decide which ones are worth using and which ones are not.   Speaker 1  22:41    It's very true, there's a lot of stuff out there. It can be a little overwhelming. I can tell you, I've used chatgpt, I've used Claude, I've used Gemini, I've used grok, bunch of different AI chat bots out there. They can all do some pretty amazing things, but if you just don't know where to start, like I'll see if I can only have one of them, chatgpt is what I would go to. I think part of that is just a level of familiarity, like I've just used it for so long now. It's like a comfortable old shoe, but it really is innovating at an incredible speed, and it's this AI boom has been happening for over two years now, and chatgpt is still arguably at the top. I mean, they've done a really good job of staying on the bleeding edge of what can be done now, and chatgpt is free, but if you pay for the $20 a month version of it, you just unlocks a lot more capability and usability. That's probably what I would do. But there's different Claude. I've seen this myself, and I've heard this from a lot of other people. If you're trying to, like, write a story, for example, Claude is actually a better writer than most things out there. So that's what you're trying to do. Like, go with quad you want, like, a one, all purpose tool that can do pretty much everything reasonably well. That's what chat GPT is, in my opinion,   Keith Weinhold  23:52   those are some great tips. And yeah, I thought it was pretty impactful last year, when even when you do a Google search, at the top of that, there is now an AI summary before you see your conventional Google Search sort of hits, which actually concerned Google advertisers for a little while. How about some of the most driest and esoteric reading that we can think of, and how AI can speed that up and make it more interesting, just say, doing due diligence in real estate, like reviewing municipal regulations or zoning rules and property restrictions. How does AI help you there?   Speaker 1  24:27    I've used it numerous times for that, perfect for that. For example, in the land business, one way that you can make money from land is by subdividing land. And one strategy within the subdividing business is to find properties that are they're called exempt subdivides, which means that you can essentially do the subdivide and not get anybody's permission to do it, like you can just split it up and not ask anyone. And you can do it, but you can only do that if the size of the property is over a certain threshold. In Texas, I think it's 10.01 acres or. Higher. There's certain places Michigan that are similar, but you can figure this out by looking at the county and the municipal guidelines to understand what is that threshold, or does that threshold exist at all? You can find these PDFs from the county or the municipal website. Upload it to something like chatgpt or Claude, and just ask the question like, how big does a property have to be before it's exempt from the subdivision rules? And it'll tell you, if it's in there, it can redo the thing in a matter of seconds and tell you what the answer is and where it found the answer, a very similar thing with like legalese and legal writing that's really hard for the average person to understand, probably by design, it can decode that for you. I've gotten this before. I've gotten really poorly written emails from people like electricians, or even just, I can't believe there's already happened exactly. They explain things using a lot of industry jargon and lingo, and I don't know what they're talking about, right? And I can copy and paste that email into chatgpt and just say, Hey, I got this email from an electrician. I have no idea what this means. Can you explain this to me? Like I'm a five year old, and it does it, and it works every time where it's like, oh, okay, that's what you meant. I can just know that instead of having to respond to them and say, Hey, can you rewrite that for me? I don't understand it, and they reply, and it's bad again. And it goes back to this a lot of questions that a lot of us have every single day. Historically, we've gone to people to ask those questions, and that's fine, but it wastes their time, and it wastes our time, and we still might not get the answers we're looking for, but with things like chatgpt, like you almost certainly will get the answer you're looking for very quickly, and it doesn't waste anybody's time other than the time you have to spend asking the question. So it's a big 8020, lever, you can get a lot more done without relying on the limits of humans to get the job done.    Keith Weinhold  26:50   We're talking about how you can use AI in your overall life and in real estate a little bit too. With Seth Williams, well, you're such a good resource. You're really pretty pioneering in learning AI and helping you with problems and solutions in both your overall life and in real estate investing. So tell us by now, what are some of the most unexpected or just like, totally impressive things that AI has helped you with, and how do you do that stuff?   Seth Williams  27:17   That's a really long list, but the thing that I have been most impressed with as of late is something that both chatgpt and Google Gemini can both do this now, kind of in different ways, but they can look at your computer screen and help you figure out all kinds of complex problems. Talked about this a little bit in part one, but earlier this morning, I had my chat GPT mobile app right here on my phone. I had it on a tripod pointed at my screen, and it was walking me through how to set up a couple new zaps on Zapier using a web hooks, which just right there I probably lost most people. It's just a confusing thing to figure out. I still don't fully understand it, but I was explaining my problem and what I was trying to do, and I could just talk for as long as I want, until I'm done talking. And then chatgpt chimed in, and in about 30 seconds, it solved my problem and told me exactly what to do. And Google has another way of doing this, where it's actually like on your computer, like seeing your entire screen, and it kind of does the same thing where a voice talks back to you. It's amazing, because I know how hard some of these things can be, the type of thing that would either make me give up and just not do what I'm trying to do, or pay somebody a bunch of money to come in fix the problem for me, or stand over my shoulder, either which way is not a great outcome. But with the help of these AI chat bots that can see everything going on, and they have basically all the knowledge in the world about how to solve the problem. They can do it really quickly and easily. And it's amazing. That's one of millions of different things you can do with chatgpt.   Keith Weinhold  28:51    Oh dear. If AI looked at my computer screen, the first thing they would probably tell me is to close half of the tabs that I have open. Oh, yeah, me too, yeah. How are you personally using AI in your real estate investing business today?   Seth Williams  29:07   lots of ways, but one thing that has been particularly useful to me is the use of what's called Custom gpts, which basically just means, right, you are training chat GP T to respond to you in a very specific way based on certain instructions you give it. So every time you start a conversation like it already knows why you're there, what you're looking for, what assumptions you want it to make. One example of a custom GPT I've made is one that can very quickly analyze big commercial projects like whether it's a self storage facility or industrial outdoor storage, I've explained to it how I want it to run the numbers based on certain information. I give it like square footage and pricing and occupancy rates and that kind of thing. So I can basically feed it like six or seven key pieces of information and 20 seconds it can tell. A give me, like a one to 10 rating based on this is a great deal, you should move forward, or this is a terrible deal. Look the other way. And the reason this is a big deal is because the way I used to handle this was I had a giant spreadsheet, and I would go line by line, filling in all these different inputs, and it would take me, at a minimum, like 30 to 45 minutes to get to the same place of understanding, like, Yes, this is good. I should keep going on this. Or no, this is a terrible deal. And it can just, like, look at a lot of stuff, a lot of data, very quickly. And it's not like the final answer necessarily, like, you don't just blindly follow whatever it tells you to do, but it can just get to the bottom of stuff, or, I guess, get further to the bottom of stuff, wasting a whole lot less time. So, you know, the real estate that's super helpful, and people in, like, banking and accounting and all this stuff fields where, like, there are full time analysts that look at this stuff all day long. And it naturally takes humans a lot of time to figure this stuff out, but AI can get there much faster.   Keith Weinhold  31:03   Yeah, that is pretty remarkable, and it sounds like you're finding a pretty high degree of reliability and not getting what we call hallucinations in the AI world.    Seth Williams  31:15   Yeah, that is sort of a developing thing. So hallucinations, it's definitely a real issue where basically we'll just make up stuff that sounds viable, but it's not right, and the only way you would really know that is if you knew better in the first place, which means, why am I even asking the question if I already know the answer? So it was kind of an issue where chatgpt and Claude and Gemini would just make stuff up. One of the ideas with some of the newer models that are coming out with, like, oh one or oh three mini now is what they've got. They use a lot more logic in these models. And the difference is, when you ask it one of these questions, and if it doesn't know the answer, it'll just say, I don't know. That's a great answer. They're hallucinating. Yeah, absolutely. And you know, chatgpt Four, oh, it's kind of like the difference between if you hire a very polite VA in on the other side of the world who's trained to be a yes man or a yes woman, like they want to make you happy, and they're going to tell you what you want to hear, whether it's right or not, whereas, you know, these more advanced logical models are more like your account or it's like, I'm not here to impress you. I'm just going to tell you the facts and how things really are, I think, depending on what you're trying to do, like, there are certain situations where you'd want the more creative four, oh, version of the situations where you'd want the logical ones. So I'm trying to, like, do code or analyze numbers or do something where accuracy is very important. That's where I want to use those logical models. But if I'm like, writing a story or song lyrics or whatever, and creativity is more important, that's what I'd want to do four Oh, so it's not that either one is like better or worse. It just depends on what you're trying to accomplish and what output you want from it.   Keith Weinhold  32:54   Sure, part of this is knowing which tool to apply. There might be a grain of gratefulness, that there are such thing as hallucinations, right? I mean, it still takes you a human being thinking to confirm, does that answer make sense and it's just simply a good idea? Or could that be inaccurate? So the human component sounds like isn't completely displaced yet at this point, starting probably more than 10 years ago, Seth, when people began to look for answers to everyday questions, oftentimes, they would go to YouTube and they would just like to get their answer that way. Why is this faucet leaking or anything else? And watch a YouTube video about that. What's your process though for using AI to take a YouTube video and summarizing it and extracting key insights that way?   Seth Williams  33:39   Well, there is a free chrome extension called glasp, G, L, A, S, P, that I just used it this morning. All the time. I've heard of it. It kind of sits on top of YouTube. So when you're on YouTube and you have this chrome extension there, this little button appears, and you can copy a transcript of the entire video and then take that and paste it into chat, G, P, T, and you can ask it whatever you want about what that video is about. You could say, summarize it in one sentence. Or you could say, Does this video talk about this issue? And if so, where or what does it say about it? You could say, take this video and turn it into a blog post for me, literally, like, whatever you can imagine that could violate come from that video. You could get that information from it. And that alone is is amazing. And it kind of goes back to, like, what is the purpose of this video, or what is my question that I'm trying to get answered? Am I looking for entertainment? You know, for example, I've been watching a lot of videos about guitars and guitar pedals and amps lately. I want to hear what this guitar sounds like. I kind of have to watch a video for that. Like, a transcripts, not really going to help me chat. GPT is not going to help me. Like, I just actually have to watch the video. So this doesn't totally render videos useless. It just depends on why you're watching it and what information you want to get, and how can you get there faster.   Keith Weinhold  34:50   This has been great. Seth, are there any last things that we should know about? Ai, whether that's misconceptions or making sure that we're using the right. AI tools and avoiding the wrong ones. Any last thoughts? Seth, if   Seth Williams  35:04   people are really interested in this stuff, I mean, there's plenty of places you can go online. This is a huge trending topic on YouTube, lots of good information out there. We actually put together a school community intended primarily for real estate investors and business people. It's you can find that at Pulse inner circle.com, P, U, L, S, E, inner circle.com. We're talking about this stuff all the time. My friend Mike balcom and I did a couple different courses on this stuff, like a guided course that was awesome. I mean, we even learned a lot of stuff going through the process. But it is a rapidly advancing area right now, and it has been ever since chatgpt came out, like, every week, there's some huge new thing out there. It's something that's worth paying attention to, because even, like, right now, it's incredible the stuff you can do. And interestingly, like, most people aren't doing it. So if you are up to speed and educated on it, you've got a superpower that most of the people don't know exists or aren't willing to learn.   Keith Weinhold  36:01   That's a great point. If you just learn 1% of this, you're going to be ahead of the general population, and it's really easy to do. Seth, I've done some learning about AI myself. This has been a great chat. Thanks.    Seth Williams  36:14   You bet.   Keith Weinhold  36:21   Check out Seth's resources and his own R E tipster podcast. Always love to chat with my man, Seth Williams, Super Down to Earth guy, and also he does not look like a dork like you might think an AI expert would. Yeah, like I told Seth, the guy that cuts my hair is 25 years old. He's a SoundCloud music artist. He mentioned to me about how he writes his own lyrics for his music. I asked him how the results were when he asked chatgpt to write his lyrics or write him some rhymes, he told me he never even thought of that. I couldn't believe it. So yeah, AI, it's just still not top of mind for people.    The two platforms that I use the most are chatgpt and venice.ai last year I told you about how you can turn any document into an AI podcast with notebook LM, and you'll remember that I also played a minute or two of that AI generated podcast right here on the show for you, you can book your travel with AI as well. Have it put together in itinerary for you. Have you asked AI who you are? I hope that you've tried that by now. When I go to chat GPT and ask it, who is Keith Weinhold, let's see, is it accurate? Well, the answer starts with Keith Weinhold, is a real estate investor, author and the host of the get rich education podcast. Well, then it goes on for a few paragraphs. It goes on to say he founded get rich education, a platform that offers educational content through podcasts, blogs and resources about real estate investing, personal finance and wealth building. His teachings emphasize the benefits of leveraging real estate as a long term wealth building tool while highlighting strategies to maximize cash flow and minimize risks. Okay, yeah, I would say that's accurate. No hallucination there. You can also ask chat, GPT or an AI, of course, about your properties. In fact, I'm going to enter the address of one of my rental properties and ask it how much cash flow it generates. So to skim the answer for you, it's okay. It looks pretty accurate. Here. It says that it is a three bedroom, two bathroom, single family home with 1300 44 square feet of living space. It shows the property was last listed for rent at $1,625 per month in March of 2024 Yep, that sounds right. Zillows rent, Zestimate estimate estimates the current rental value at $1,898 per month, is what it says. Okay, and then here's what it says about the property's cash flow. Because I asked that about the cash flow, it writes to determine the potential rental cash flow, consider the estimated monthly rental income of 1898 subtract operating expenses such as property management fees, maintenance insurance, property taxes and any mortgage payments, the resulting figure will represent the net monthly cash flow. All right, well, then it goes on with more info that's less interesting, okay, so therefore, at least this basic question that I've asked it chat GPT, I mean, it cannot know my cash flow unless they know what my loan amount was and what the mortgage interest rate is and those sorts of things. But maybe another AI knows that, though I am not sure.    Hey, coming up here on future episodes of the get rich education podcast, some well known names that haven't been here on the show. Before and another interesting upcoming episode down the road. Here is when a pastor is going to join me on the show. Here, this pastor is an expert in what the Bible says about money. You might be familiar with the Bible verse that says it is easier for a camel to go through the eye of a needle than for a rich man to enter the kingdom of God, gosh. Well, how does that make me feel about how the pastor and I's conversation is gonna go here on a show that's called get rich education that ought to be super interesting, and I really look forward to that show. Now, even if you're not a Christian or you don't believe in the Bible, this is going to be a significant conversation, because you cannot deny the Bible's influence. It is, in fact, the greatest selling book of all time, and even if it doesn't personally affect you, it does impact other investors around you and just billions of people across the world. What the Bible says about money coming up, which could have, I guess, some uncomfortable moments here in future weeks on the show, along with a lot of other great content. If you want to be sure that you don't miss that on your pod catching app, be sure to hit the Follow button. Also, if you would please, simply tell a friend about the show until next week. I'm your host. Keith Weinhold, don't quit your Daydream.   Speaker 2  41:41   Nothing on this show should be considered specific, personal or professional advice. Please consult an appropriate tax, legal, real estate, financial or business professional for individualized advice. Opinions of guests are their own. Information is not guaranteed. All investment strategies have the potential for profit or loss. The host is operating on behalf of get rich Education LLC, exclusively.   Keith Weinhold  42:09   The preceding program was brought to you by your home for wealth, building, getricheducation.com