Podcasts about using ai

In this AMA episode, Ryan Michler and Kipp Sorensen tackle a wide range of listener questions-from AI and authenticity to divorce, brotherhood, and extreme ownership. Ryan shares lessons from his own divorce about reflection, accountability, and rebuilding your life after a major setback. The conversation also dives into why authenticity builds trust, the danger of labeling words as violence, and how men can start building strong brotherhoods even if they've spent most of their lives alone. If you're feeling stuck in your career, isolated in life, or unsure how to take the next step forward, this episode offers practical guidance and honest perspective. SHOW HIGHLIGHTS 00:04 - Introduction and lacrosse tournament story 03:46 - Listener question: AI and content creation 17:57 - Navigating divorce and staying afloat emotionally 30:17 - New Order of Man merchandise designs 32:14 - Ideals worth fighting or dying for 35:15 - Violence, language, and societal perception 42:16 - Building brotherhood from scratch 51:22 - Extreme ownership when stuck in a job 59:24 - Reflecting on advice given years earlier 59:50 - Episode closing remarks Battle Planners: Pick yours up today! Order Ryan's new book, The Masculinity Manifesto. For more information on the Iron Council brotherhood. Want maximum health, wealth, relationships, and abundance in your life? Sign up for our free course, 30 Days to Battle Ready

On this episode of Destination on the Left, I talk with Dan Flores, Head of Tourism at Satisfi Labs, all about using AI in the travel industry. We discuss how conversational artificial intelligence can help drive revenue and operational efficiency, and Dan offers real examples of where this AI is being deployed and how it has had real impacts. We also talk about adoption rates of AI within the tourism industry, and Dan shares a framework for approaching this new technology in your organization. What You Will Learn in This Episode: How Dan Flores transitioned from a long career in tourism operations to leading strategy in conversational AI at Satisfi Labs Why understanding operational efficiency is important when adopting new technology in the tourism industry What conversational AI can do to improve visitor experience and drive revenue How changes in consumer behavior and expectations are encouraging the tourism industry to embrace AI-powered solutions Why it's important to identify pain points and define goals before implementing AI technology in your organization Examples of real-world successful AI adoption, including collaborative projects like Connected City and integrated chatbots for DMOs, attractions, and tour operators How a strategic plan and incremental steps can help tourism businesses navigate the AI landscape The Power of Conversational AI in Tourism The tourism industry has always relied heavily on storytelling and connection, and Satisfi Labs' conversational AI platform gives destinations the ability to amplify their story and interact with customers in real-time. Unlike static websites and traditional ads, conversational AI provides dynamic interactions, it can answer questions, qualify leads, and even facilitate transactions 24/7, in dozens of languages. This delivers not only improved customer service but also a seamless path from inquiry to purchase. Driving Operational Efficiency and Revenue Operational efficiency is a cornerstone in the tourism sector, where staff often wear a lot of hats and resources are limited. Satisfi Labs' conversational agents can automate routine inquiries, freeing up staff to focus on high-value tasks and sales. Using AI turns businesses into round-the-clock operations without needing to scale human teams. A case in point is Dan's personal experience using a Satisfi Labs chatbot to resolve a ticket issue for a college basketball game in minutes, a process he expected would take much longer. The technology goes beyond simple customer service. AI-driven agents are also powerful tools for lead qualification, routing sales queries to the right person after gathering the right information, resulting in improved conversion rates and more effective use of resources. Making AI Work for You AI adoption is happening at a breakneck pace, so fast that Dan warns companies risk being left behind if they don't get on board. He suggests tourism businesses create a strategic AI plan that identifies departmental pain points and assesses if AI can offer a solution, then they can decide whether to build in-house or engage a vendor, and start small. This framework helps organizations prioritize efforts, minimize risk, and ensure resources are being used where they matter most. A key piece of advice is top-down adoption. Leadership should empower staff with resources, education, and freedom to experiment with AI tools, ensuring the culture embraces innovation. Resources: Website: www.satisfilabs.com LinkedIn Personal: https://www.linkedin.com/in/dan-flores2022/ LinkedIn Business: https://www.linkedin.com/company/satisfi-labs/ We value your thoughts and feedback and would love to hear from you. Leave us a review on your favorite streaming platform to let us know what you want to hear more o​f. Here is a quick tutorial on how to leave us a rating and review on iTunes!

AI isn't just answering questions anymore—it's doing real work that used to take humans hours, days, or even weeks. In this wide-ranging conversation, returning guest Dean Ball, Senior Fellow at the Foundation for American Innovation, breaks down the massive leaps in AI since mid-2024: smarter models with true reasoning, web-searching research agents, and revolutionary coding agents that control your computer via command line to automate complex tasks.We cover:- Why AI has gone from "toy" to essential tool for professionals- The rise of coding agents (Claude Code, OpenAI tools) and real-world examples- Why so many skeptics—especially on the American right—are still skeptical (and why they're likely to get left behind)- Data center backlash, NIMBYism, energy/water concerns, and how AI companies could win more community support- Dean's experience drafting the Trump administration's AI action plan at the White House OSTP- Practical tips: Go "AI-first" in your workflow (skip Google, use Claude/Grok, integrate agents)Whether you're an AI user, skeptic, policymaker, or just curious about where this tech is headed in 2026, this episode is a reality check on what's actually working today.CHAPTERS(00:00 Introduction)(00:44 How Far AI Has Come Since 2024)(02:35 Smarter Models + Better Reasoning)(03:14 From Google Search to Real Research Reports)(03:56 Coding Agents: The New Form Factor Revolution)(05:49 Aaron's AI-First Workflow (Claude, Grok, Voice Prompting))(07:46 Real Example: Building a Manosphere Podcast Transcription Tool)(10:15 AI for Work vs. Chat/Fun – Doing Useful Stuff)(12:20 Feedback on Writing, Refining Ideas, Not Great at Pure Idea Gen)(13:45 Addressing AI Skepticism (Right & Left))(16:40 Ignorance, Cultural Animosity, & Boycotts)(18:30 Josh Hawley Example & Early Impressions)(23:00 Data Centers: NIMBY Fights, Energy, Taxes, & Community Buy-In)(30:00 Trump's AI Action Plan – What It Covers & Why)(35:00 National Security, Cyber Risks, & Prudent Steps)(42:00 Dean's White House Experience & Using AI to Help Draft)(51:00 AI Is Like a Piano – Easy to Start, Hard to Master)DEAN BALL LINKS:

In private conversations, I’m hearing a lot of founders describe how they’re starting to sell to AI agents, like OpenClaw's. Zapier has more traction doing that than anyone else I met. So, in my monthly podcast with Zapier's founder, Wade Foster, I asked him to show me how they’re doing it. Wade Foster is the co-founder and CEO of Zapier, the automation platform used by hundreds of thousands of businesses to connect over 8,000 apps. Since launching in 2011, Zapier has grown into a remote-first company with more than 800 employees and hundreds of millions in revenue. Today, Wade is leading Zapier's evolution into AI-powered automation, MCP integrations, and tools built for an agent-driven future. Sponsored byZapier More interviews -> https://mixergy.com/moreint Rate this interview -> https://mixergy.com/rateint

How can organizations use AI to transform hiring while still protecting the human element at the heart of work? In this episode of Tech Talks Daily, I sit down with Mahe Bayireddi, co-founder and CEO of Phenom, to explore how artificial intelligence is reshaping the way companies attract, hire, and develop talent.  Our conversation comes at an interesting moment for the company, following the announcement that Phenom has acquired Be Applied, an AI-driven cognitive assessment platform designed to validate candidate and employee capabilities at scale. The move follows an earlier acquisition of Included, an AI-native people analytics platform focused on delivering deeper workforce insights and faster decision making. Mahe shares how Phenom's long-term mission to help a billion people find the right job is evolving as AI becomes embedded throughout the HR lifecycle. From candidate discovery to onboarding and internal mobility, organizations are now experimenting with automation, personalization, and intelligent workflows that aim to improve both productivity and employee experience. One theme that runs throughout our discussion is how AI adoption in HR varies dramatically depending on geography, regulation, and industry. In Europe, regulatory frameworks are shaping how companies deploy automation. In the United States, state-level policies introduce additional complexity. Meanwhile, organizations across Asia are often approaching AI with entirely different priorities. As a result, many global companies are experimenting carefully, introducing AI into specific business units or regions before rolling it out more broadly. We also talk about a challenge that has caught many HR teams by surprise: the growing issue of fraudulent candidates and identity manipulation in the hiring process. As job applications become easier to submit and remote work expands global talent pools, organizations must rethink how they validate candidate identity and credentials. Mahe explains how AI-driven fraud detection tools can help highlight suspicious patterns while still keeping humans in the loop for final decisions. Another important point raised in the conversation is the need to preserve humanity in the workplace while introducing intelligent automation. While AI can dramatically improve efficiency across recruiting and workforce planning, Mahe believes HR leaders must be careful to ensure technology strengthens human potential rather than reducing people to data points in a system. Looking ahead, we discuss how organizations can begin adopting AI responsibly by starting small, focusing on high-impact areas, and building guardrails that reflect regional regulations and company culture. For many companies, the most successful path forward will involve testing AI within specific workflows, measuring outcomes quickly, and scaling what works. So as artificial intelligence becomes a central part of hiring, workforce planning, and employee development, the big question for leaders is this. Can organizations use AI to create faster, smarter talent decisions while still keeping people at the center of the workplace experience?

In this celebratory episode of the Research Like a Pro podcast, Diana and Nicole highlight the incredible impact the RLP process has had on their listeners by sharing several inspiring success stories. They read comments from researchers, one of whom explains how the RLP workflows help them conquer imposter syndrome, and another who shares a journey from feeling overwhelmed as a beginner to pursuing accreditation. Multiple individuals note that the RLP method turned them from "searchers" into "researchers," providing the structure and discipline necessary to break down brick walls, and in one instance, even launch a genealogy business.  Nicole shares fun podcast statistics, including that all 400 episodes equate to 250 hours of continuous listening, and that the total downloads for each podcast episode are roughly equivalent to filling the home-side bleachers of a high school stadium. Diana and Nicole then summarize the core benefits listeners gain from applying the RLP process, which include overcoming overwhelm, building confidence to go from intermediate to professional, and staying motivated by connecting with peer groups. They conclude by discussing the profound purposes of family history, such as making new discoveries, uncovering the truth, and rescuing ancestors from anonymity, which ultimately helps listeners connect with the past and preserve their family's stories for future generations. Listeners learn how to be more productive and disciplined and how the RLP process provides the confidence and structure needed to advance their genealogical research. This summary was generated by Google Gemini. Links Episode 1 from seven and a half years ago, July 16, 2018 - https://familylocket.com/rlp-1-introduction/ Top Ten Most Downloaded Episodes of RLP RLP 185: Revisiting Timelines and Analysis Again – 6,047 - https://familylocket.com/rlp-185-revisiting-timelines-and-analysis-again/ RLP 184: Revisiting Research Objectives Again – 5,872 - https://familylocket.com/rlp-184-revisiting-research-objectives-again/ RLP 186: Revisiting Locality Research Again – 5,820 - https://familylocket.com/rlp-186-revisiting-locality-research-again/ RLP 190: Revisiting Report Writing Again – 5,762 - https://familylocket.com/rlp-190-revisiting-report-writing-again/ RLP 156: Tracing 19th Century Germans with Heidi Mathis... – 5,692 - https://familylocket.com/rlp-156-tracing-19th-century-germans-part-1-the-nitty-gritty-of-german-names/ RLP 2: Research Objectives – 5,690 - https://familylocket.com/rlp-2-research-objectives/ RLP 1: Introduction – 5,665 - https://familylocket.com/rlp-1-introduction/ RLP 158: RLP with DNA Course with Allison Part 1 – 5,660 - https://familylocket.com/rlp-158-rlp-with-dna-ecourse-part-1/ RLP 100: Top Ten Tips to Research Like a Pro – 5,610 - https://familylocket.com/rlp-100-top-ten-tips-to-research-like-a-pro/ RLP 197: Proving Your Pedigree with DNA with Debra Hoffman – 5,606 - https://familylocket.com/rlp-197-proving-your-pedigree-with-dna-with-debra-hoffman/ Upcoming Conferences NGS GenTech Toolbox workshop by Nicole - Transcribing Handwritten Documents with Artificial Intelligence - https://www.ngsgenealogy.org/gentechtoolbox/transcribing-handwritten-documents-with-ai/ North Carolina Genealogical Society Virtual Conference March 27 – Using AI to Abstract 19th Century North Carolina Deeds by Nicole - https://www.ncgenealogy.org/event/2026-ncgs-virtual-conference/  National Genealogical Society Conference May 27-30 in Fort Wayne, Indiana - https://conference.ngsgenealogy.org/ - Nicole & Diana are giving several lectures on using AI to understand terminology, Barsheba Tharp DNA case, deciphering handwriting, court records, and finding females in court records. Sponsor – Newspapers.com For listeners of this podcast, Newspapers.com is offering new subscribers 20% off a Publisher Extra subscription so you can start exploring today. Just use the code "FamilyLocket" at checkout.  Research Like a Pro Resources Airtable Universe - Nicole's Airtable Templates - https://www.airtable.com/universe/creator/usrsBSDhwHyLNnP4O/nicole-dyer Airtable Research Logs Quick Reference - by Nicole Dyer - https://familylocket.com/product-tag/airtable/ Research Like a Pro: A Genealogist's Guide book by Diana Elder with Nicole Dyer on Amazon.com - https://amzn.to/2x0ku3d 14-Day Research Like a Pro Challenge Workbook - digital - https://familylocket.com/product/14-day-research-like-a-pro-challenge-workbook-digital-only/ and spiral bound - https://familylocket.com/product/14-day-research-like-a-pro-challenge-workbook-spiral-bound/ Research Like a Pro Webinar Series - monthly case study webinars including documentary evidence and many with DNA evidence - https://familylocket.com/product-category/webinars/ Research Like a Pro eCourse - independent study course -  https://familylocket.com/product/research-like-a-pro-e-course/ RLP Study Group - upcoming group and email notification list - https://familylocket.com/services/research-like-a-pro-study-group/ Research Like a Pro Institute Courses - https://familylocket.com/product-category/institute-course/ Research Like a Pro with DNA Resources Research Like a Pro with DNA: A Genealogist's Guide to Finding and Confirming Ancestors with DNA Evidence book by Diana Elder, Nicole Dyer, and Robin Wirthlin - https://amzn.to/3gn0hKx Research Like a Pro with DNA eCourse - independent study course -  https://familylocket.com/product/research-like-a-pro-with-dna-ecourse/ RLP with DNA Study Group - upcoming group and email notification list - https://familylocket.com/services/research-like-a-pro-with-dna-study-group/ Thank you Thanks for listening! We hope that you will share your thoughts about our podcast and help us out by doing the following: Write a review on iTunes or Apple Podcasts. If you leave a review, we will read it on the podcast and answer any questions that you bring up in your review. Thank you! Leave a comment in the comment or question in the comment section below. Share the episode on Twitter, Facebook, or Pinterest. Subscribe on iTunes or your favorite podcast app. Sign up for our newsletter to receive notifications of new episodes - https://familylocket.com/sign-up/ Check out this list of genealogy podcasts from Feedspot: Best Genealogy Podcasts - https://blog.feedspot.com/genealogy_podcasts/

You're invited into a legacy family audio business that refused to accept “good enough” on feedback control and instead chased the impossible: a truly zero‑latency, AI‑driven way to push your PA louder without squeals. You follow Devin Sheets from growing up on sound gigs to roaming European stages, then back home to build De‑Feedback plugin for working musicians, a live sound feedback plugin and on‑the‑fly impulse‑response generator that listens like a seasoned engineer: separating human voice, room reverb, background noise, and feedback in real time so you can grab at least 6 dB more gain before things start to howl. Along the way you see how NAMM sparked the idea, how inverse impulse responses and probability math beat old EQ and gate tricks, and how “homebrew AI” meant sneaking into every empty church at 3 a.m. just to teach the model what real rooms actually sound like. You also learn how to think like a modern working musician: using social media to find the right AI programmers across the world, leaning on LLMs to translate, collaborate, and even rate contractor work so you can move faster without losing control. You come away knowing you can drop a dedicated De‑Feedback box or plugin into almost any rig, from churches to touring consoles to tiny clubs, take it with you even when someone else is behind the board, and quietly stack the deck in your favor. In the end, it's a roadmap for how you run your own gigs and career: stay curious, embrace new tools, protect your sound, and Always Be Performing. 00:00:00 Gig Gab 524 – Monday, March 9th, 2026 March 9th: National Meatball Day Guest co-host: Devin Sheets from Alpha Labs 00:02:12 Let's Grow this Legacy Family Business Grew up doing sound Also a musician Lived in Europe Then came back and said, “let's grow this family business!” 00:03:44 We haven't “just solved” this feedback problem Went to NAMM for the first time, and was inspired There are automated EQ-based or gate-based systems PSE plugin from Waves 5045 for feedback 00:04:57 Why isn't there a “balanced audio”-type solution for Feedback Balanced Audio fixes hums and it just works. 00:08:24 NAMM is a great inspiration…and it inspired Devin and his team to seek a feedback plugin solution People get entrenched Inverse Impulse Response methodology 00:12:35 Training the AI to listen for three things: human voice, reverb, and feedback Created a de-reverb algorithm and went beyond that A probability calculation does the math 00:16:05 Truly zero latency for the plugin Workflow latency remains 00:19:32 I don't have any coding or AI background, but I have a gut feeling AI will fix this feedback problem Others: It's harder than you think Devin: I knew that it needed to happen 00:20:58 Finding an AI programmer who was interested in doing Experimented with some programmers, failed, learned some things! 00:21:09 Social Media to the rescue! Late 2023: Devin found a group of AI programmers who would be interested Sending large amounts of money to China…it's a risk! 00:26:30 At 3am, a text message: I think I've done it. Devin immediately started testing it himself “It seemed to work.” 00:27:17 Installing De-Feedback in Churches Sponsors 00:30:57 SPONSOR: Claude.ai – Ready to tackle bigger problems? Sign up for Claude today, which includes access to Claude Cowork, too, when you visit Claude.ai/giggab 00:32:43 SPONSOR: Squarespace. Check out https://www.squarespace.com/GIGGAB to save 10% off your first purchase of a website or domain using code GIGGAB. 00:34:20 What is an impulse response? Impulse Response: An audio picture of how the room sounds Popping balloons in a room/environment and recording the sound is a common approach for creating impulse responses 00:38:33 De-Feedback is an on-the-fly IR generator …and analyzer that's trained on the human voice, room reverb, background noise…and feedback 00:41:55 Finding the right programmers was the key …in addition to actually having the idea and the bullheaded persistence to make it happen. 00:44:46 Mind-melding was necessary And LLMs helped with translation! 00:48:39 Using AI to make it possible to collaborate with other humans 00:50:03 Using an LLM to rate the work of your contractors and employees 00:51:54 How do we get De-Feedback into the hands of working musicians US$499 for the De-Feedback plugin VST3 or AU plugin A higher-end Windows laptop can likely run it on its own Apple's Core Audio tech makes it difficult, but they're working on it. De-Feedback also sells a perfectly-tuned headless computer to do this Alpha Labs tried tons of interfaces that the Focusrite Scarlett keeps glitches out of the mix Waves SuperRack LiveBox 01:01:37 Where do we expand? Allen & Heath mixers? Midas/Behringer mixers? Paul Falcone, mixing Mariah Carey, wanted to use it! Robert Scovill talking Rock Hall on Gig Gab 01:05:18 Homebrew AI! Training EVERY room he could find “Can you let me into your empty church at 3am?” – To record IR to then train the data set for De-Feeback 01:07:25 Creating your own AI model 01:08:13 What's the future look like? Acquisition? Demands for security? – Planning for it all 01:09:26 You can get this and bring it with you to gigs where someone else is doing sound De-Feedback Option 1 Allen & Heath Qu-5's Feedback Eliminator De-Feedback gets at least as 6dB more gain before feedback 01:17:46 Gig Gab 524 Outtro Follow Devin Sheets And Alpha Labs Facebook and Instagram YouTube for Alpha Labs Contact Gig Gab! @GigGabPodcast on Instagram feedback@giggabpodcast.com Sign Up for the Gig Gab Mailing List The post De-Feedback Plugin for Working Musicians: More Gain, Less Feedback – Gig Gab 524 with Devin Sheets appeared first on Gig Gab.

In this episode of BizNinja Entrepreneur Radio, Tyler Jorgenson sits down with Matthew Holman, subscription strategist and community builder behind Commerce Catalyst and The Subscription Doc. Matthew shares how he stumbled into entrepreneurship and discovered the massive opportunity inside subscription commerce. From helping brands crack the subscription model to building communities that connect e-commerce founders, Matthew explains why subscriptions are one of the most powerful ways to create predictable revenue and long-term growth. Tyler and Matthew discuss the evolution of e-commerce, the rising costs of customer acquisition, and why knowing your customer deeply is still the ultimate competitive advantage. They also explore how AI and automation are changing personalization and retention for subscription brands. If you are building an e-commerce brand or thinking about launching one, this episode delivers practical insights on offers, retention, customer experience, and the future of subscription commerce. What You'll Learn • Why subscription is one of the most powerful business models in e-commerce • The biggest mistake new subscription brands make • Why your offer matters more than your retention strategy • How successful brands truly understand their customers • Why the first 7 to 10 days after purchase are critical • How bulk offers and bundles increase revenue and retention • The role of content, influencers, and community in modern e-commerce • How AI is shaping the future of personalized subscriptions Chapters 00:00 Introduction to Subscription Commerce 00:50 Matthew Holman's Entrepreneurial Journey 03:13 Building Commerce Catalyst and Subscription Communities 06:17 Major Changes in E-Commerce Over the Last Five Years 07:55 Why Knowing Your Customer Is Everything 09:06 Influencer Led Brands and Audience Connection 11:10 Unique and Surprising Subscription Businesses 12:41 The Power of Customer Experience and Product Adoption 16:40 Success Stories from Subscription Consulting 19:00 Why Offers Matter More Than Retention 19:33 Best Platforms for Customer Acquisition Today 20:10 Common Mistakes Early E-Commerce Brands Make 22:01 What Excites Matthew About the Future of E-Commerce 24:30 Using AI to Enable Entrepreneurs 25:03 Personal Goals and Life Outside Business 25:38 Where to Learn More About Matthew Holman 26:12 Advice for New E-Commerce Entrepreneurs

In this episode of the DecaMillionaire Decoded podcast, Justin delivers a wake-up call to financial advisors and business owners who are still using outdated marketing strategies. 80% of financial advisors struggle to break the $1 million revenue mark - this is usually because the owner is still acting as the primary technician rather than a strategic leader, and they lack the systems to convert prospects at scale without their personal involvement. Justin argues that the digital landscape of 2026 has rendered traditional "personality-based" marketing obsolete, and that scaling to a multi-million dollar revenue level now requires a transition from human-driven guesswork to AI-optimized systems. Learn more about Relentless Value Coaching:  https://www.justingoodbread.com/coaching/

In this episode of The Six Figure Author Experiment, Lee and Russell veer delightfully off-road into a “totally new format” conversation that blends tarot, business diagnostics, mindset, guided meditations, nervous system regulation, and delegation. Lee shares her two-year journey toward creating a tarot deck without spending $25K–$30K on art, and how AI helped her extract and match quotes from her own books into card concepts. That rabbit trail turns into a bigger theme: permission. Why creators freeze, hustle, or stall out when the real work is learning to believe you belong in the room. From “capitalist tarot” systems (major arcana as business phases) to talismans and rituals that anchor identity, the conversation lands on a practical delegation framework: start with the projects you will never do, hire for agency, and run 7-day experiments instead of building fragile job roles.Topics Covered:* Lee's new format experiment: building a tarot deck (and why it matters)* The real cost of a traditional tarot deck: 78 cards + art + printing* Pivoting from full art to text-based decks: oracle/stuck deck hybrids* Using AI to extract quotes from your own catalog and match them to cards* “I can't hit the trend unless I make the trend” and why creators rebuild systems to understand them* Building “business tarot”: diagnostics designed for business, not pasted onto it* Tarot as structured language: major arcana, phases, and shared symbolic meaning* Tarot as poetry: interpretation as self-revelation, not author intent* “Beyond the book” expansion: why rituals and repeat-touch objects matter* Anchors and talismans: poker chips, degrees on walls, and belief as the real ticket in* Permission economy vs. self-permission: how creators get trained to ask instead of act* Lisa's guided meditations for authors: relaxing into the solution-state and letting the brain map the path* Reticular activating system: priming your mind to notice solutions* Hustle vs. freeze: sympathetic overload, cortisol loops, and “gas + emergency brake” burnout* Walking as regulation: bilateral movement cues safety and de-escalation* Play as nervous system reset: “sketch with no outcome,” look up, take a photo, be present* Delegation as a common creator pain point: burnout + distrust + micromanaging* Delegation metaphor: if you order coffee without running into the kitchen, you've delegated* Hiring for agency: “extrapolating from known data” as Russell's key interview test* The recursive feedback loop: taste, questions, and improving output over time* The “F*** List”: projects you will never do (perfect first delegation targets)* Don't hire for high-context roles too early: community, ads, brand voice, etc.* Delegate low-hanging fruit first: personal life tasks and modular business tasks* Delegation stall-out: bicycle → Ferrari transition and tolerating the temporary slowdown* 7-day experiments over rigid goals: test, review, iterate, replace* Zone of genius homework: notice flow states, write them down, delegate the rest* Space creates growth: firing headaches, reclaiming runway, hiring better replacements* Closing recap: tarot, meditations, delegating, and embracing “good chaos” This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.sixfigureauthorexperiment.com

Jack Chambers Ward welcomes returning guest Sarah McDowell from The SEO Mindset Podcast to discuss AI and LLMs and how they're responsibly integrating them into their work processes.Jack & Sarah share AI usage stats, note the split between adopters and non-adopters, and cover concerns including environmental impact, big tech/data issues, hallucinations and fabricated reporting, and the need for clearer disclosure when AI is used.They describe practical, cautious uses of tools like Descript and Riverside for transcription, clip creation, repurposing, research, and rewriting emails, stressing AI as a tool that still requires human review.

Welcome to another episode of Build a Better Agency! This week, host Drew McLellan dives into the rapidly evolving landscape of AI and its game-changing implications for agency owners. Joining him is Julian Goldie, an innovative SEO agency owner and AI authority who has reimagined his business by harnessing the power of automation. Together, they demystify AI's practical applications, offering grounded advice for agencies eager not to fall behind in the age of automation.  In this insightful conversation, Julian Goldie recounts how the emergence of tools like ChatGPT prompted him to reinvent his agency from the inside out. He shares real-world examples of leveraging AI for operational efficiency—including automating repetitive outreach tasks, cutting costs, and scaling revenue without increasing headcount. You'll hear how identifying high-impact areas for automation can transform daily workflows and free up your team to focus on the strategies that matter most.  Drew McLellan and Julian Goldie discuss the overwhelming variety of AI tools on the market and outline how to strategically narrow down your agency's tech stack. You'll get tangible tips for evaluating and adopting automations, maintaining quality control, and sidestepping common pitfalls many organizations face when deploying AI. Plus, Julian reveals his "three-tool AI stack" essential for any modern agency, and shares strategies for using AI not just to save time, but to generate new revenue streams and position yourself as an industry thought leader.  Whether you're just beginning to experiment with AI or are looking to deepen your automation game, this episode is packed with actionable insights. By the end, you'll have concrete steps for auditing your workflow, selecting the right tools, and leading your clients confidently into the future of AI-powered marketing. Don't miss this practical roadmap to building a smarter, more scalable, and future-ready agency.  A big thank you to our podcast's presenting sponsor, White Label IQ. They're an amazing resource for agencies who want to outsource their design, dev, or PPC work at wholesale prices. Check out their special offer (10 free hours!) for podcast listeners here.  What You Will Learn in This Episode: Leveraging AI to automate high-impact agency tasks   Building value through workflow automation, not just content creation Simplifying your AI tech stack for profit and efficiency The critical role of quality control with AI-powered outputs Using AI-driven communities and content for client acquisition Mindful adoption: focusing on one key automation at a time Positioning your agency as a thought leader by documenting and sharing your AI journey  

AI is writing essays. AI is passing exams. AI is graduating with honours. But what’s happening to our kids’ brains? When an MIT study found students who used ChatGPT had dramatically worse recall, headlines screamed: “AI is destroying intelligence.” The truth is more complicated — and more confronting. In this episode, Justin and Kylie unpack what AI is actually doing to developing brains, why schools may be accidentally making it worse, and the one rule every family needs before a child touches ChatGPT again. Because this isn’t about banning AI. It’s about protecting your child’s ability to think. KEY POINTS Brain first, then AI What EEG scans revealed about neural engagement Why students using AI first “never recovered” cognitively The alarming reality inside high schools and universities How over-reliance weakens critical thinking (even in doctors) The “forklift at the gym” analogy from Alfie Kohn Why productive struggle is essential for learning Practical scripts parents can use at home What schools should be doing differently QUOTE OF THE EPISODE “Using AI to write for you is like bringing a forklift to the gym. The weights get lifted — but you don’t get stronger.” ACTION STEPS FOR PARENTS Create the Brain-First Rule. No AI use until your child has attempted the task independently. Normalise Productive Struggle. Remind them: frustration builds neural pathways. Use AI as a Challenger, Not a Writer. Instead of “Write this for me,” teach them to ask: “Ask me to explain my argument before giving feedback.” “Challenge my reasoning with three hard questions.” Model It Yourself. Let your kids see you think first, then refine with technology. Have the Long-Term Conversation. Ask: Do you want to think for yourself — or let a machine think for you? See omnystudio.com/listener for privacy information.

Rolling out Copilot or ChatGPT and hoping productivity magically improves rarely works. In fact, for many leaders, it creates more confusion, more noise and, in some cases, more work. In this How I AI episode, Neo and I unpack the single most important question leaders should be asking about AI adoption: how can I help my people be ready for AI? Because bringing AI into your organisation isn’t primarily a technology decision. It’s a people one. We talk through why simply handing out paid licenses without building capability often backfires, how poor AI use can actually reduce productivity, and the practical steps leaders need to get right from day one. Neo and I cover: Why AI adoption fails when leaders treat it as a software rollout instead of a change process How to clearly articulate the why so people don’t assume AI equals job replacement Using AI to reduce administrivia and free people up for more meaningful work Why “it’s intuitive” is a dangerous assumption when it comes to capability building How untrained use can create AI slop, longer emails and organisational “Chinese whispers” How searchable knowledge can unlock real productivity gains, and how poor permissions can create real risk Why training change leads or team leads is critical to embedding AI into real workflows Connect with Neo Aplin on LinkedIn and via inventium.ai, where he leads Inventium’s AI training and upskilling work with organisations and teams. My latest book The Health Habit is out now. You can order a copy here: https://www.amantha.com/the-health-habit/ Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha-imber.ck.page/subscribe Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: Martin Imber See omnystudio.com/listener for privacy information.

What if you're not “bad at time management”… you're just leaking energy in places that don't matter? In Healthy Mind, Healthy Life hosted by Yusuf, executive coach Mark Briggs unpacks why high performers hit a wall—even when the calendar looks “managed.” This episode is for leaders, founders, and ambitious professionals who feel stretched thin but still want to lead with clarity. You'll walk away with small, realistic shifts—like the “top 3 goals” rule, calendar alignment, and a gentler way to use AI as a thought partner—so your impact grows without burning you out. About the Guest: Mark Briggs is an executive coach, author, keynote speaker, and founder of Empyrean Group. He helps leaders find their “next gear,” where effort decreases and impact accelerates. Episode Chapters: 00:01:41 — Energy is the real constraint, not time 00:03:37 — The pandemic shift: more time, less clarity 00:05:19 — The grind myth and the “top 3 goals” rule 00:07:49 — Broken promises to yourself = quiet anxiety 00:09:22 — Calendar color-coding: do priorities actually show up? 00:11:06 — Date night as a KPI for a well-led life 00:16:47 — Using AI to find space, summarize, and create focus Key Takeaways: Pick no more than 3 daily priorities; finish them before adding more. Run a weekly calendar test: do your stated goals appear on it? Treat “promises to self” as integrity—small follow-through reduces anxiety. Build a 15-minute morning routine (hydration, stretch, journal, gratitude, meditate). Use AI to brainstorm schedule gaps, summarize meetings, and surface next steps. How to Connect With the Guest: LinkedIn Website: https://www.markbriggs.org/ (NextGear newsletter)     Want to be a guest on Healthy Mind, Healthy Life? DM on PM - Send me a message on PodMatch DM Me Here: https://www.podmatch.com/hostdetailpreview/avik Disclaimer: This video is for educational and informational purposes only. The views expressed are the personal opinions of the guest and do not reflect the views of the host or Healthy Mind By Avik™️. We do not intend to harm, defame, or discredit any person, organization, brand, product, country, or profession mentioned. All third-party media used remain the property of their respective owners and are used under fair use for informational purposes. By watching, you acknowledge and accept this disclaimer. Healthy Mind By Avik™️ is a global platform redefining mental health as a necessity, not a luxury. Born during the pandemic, it's become a sanctuary for healing, growth, and mindful living. Hosted by Avik Chakraborty, storyteller, survivor, and wellness advocate. With over 6000+ episodes and 200K+ global listeners, we unite voices, break stigma, and build a world where every story matters.

On the podcast: why app economy disruption won't happen as fast as everyone seems to think, how AI is just as useful for defending against copycats as creating them, and why the real barrier to app success is still distribution, not code. This conversation is shorter than usual and will be featured in RevenueCat's State of Subscription Apps report. Each episode in this series will explore one crucial topic and share actionable insights from top subscription app operators.Top Takeaways:

The arrival of AGI could “compress a century of progress in a decade,” forcing humanity to make decisions with higher stakes than we've ever seen before — and with less time to get them right. But AI development also presents an opportunity: we could build and deploy AI tools that help us think more clearly, act more wisely, and coordinate more effectively. And if we roll these decision-making tools out quickly enough, humanity could be far better equipped to navigate the critical period ahead.This article is narrated by the author, Zershaaneh Qureshi. It explores why AI decision-making tools could be a big deal, who might be a good fit to help shape this new field, and what the downside risks of getting involved might be. Read the original article on the 80,000 Hours website: https://80000hours.org/problem-profiles/ai-enhanced-decision-making/Chapters:Check out our new narrations feed (00:00:00)Summary (00:01:21)Section 1: Why advancing AI decision making tools might matter a lot (00:02:52)AI tools could help us make much better decisions (00:05:59)We might be able to differentially speed up the rollout of AI decision making tools (00:11:04)Section 2: What are the arguments against working to advance AI decision making tools? (00:13:17)Section 3: How to work in this area (00:26:19)Want one-on-one advice? (00:29:50)Audio editing: Dominic Armstrong and Milo McGuire

#thePOZcast is proudly brought to you by Fountain - the leading enterprise platform for workforce management. Our platform enables companies to support their frontline workers from job application to departure. Fountain elevates the hiring, management, and retention of frontline workers at scale. To learn more, please visit: https://www.fountain.com/?utm_source=shrm-2024&utm_medium=event&utm_campaign=shrm-2024-podcast-adam-posner. Thanks for listening, and please follow us on Insta @NHPTalent and www.youtube.com/thePOZcast For all episodes, please check out www.thePOZcast.com    Takeaways - Ashley Heard emphasizes the importance of proper training for first-time managers. - Promoting strong individual contributors to management roles can lead to failure without support. - Management styles can be categorized into 'tight jeans' and 'cozy joggers' to illustrate different approaches. - The Pause, Consider, Act framework helps managers make thoughtful decisions under pressure. - Intentional leadership is crucial for fostering a positive team environment. - Leadership development should be an ongoing process, not a one-time event. - AI can enhance leadership by providing tools for better decision-making and communication. - Cultural sensitivity is essential for effective management in diverse teams. - Success in leadership is defined by passion for work and a balanced life. - The Manager Method book provides practical frameworks for effective management.   Chapters 00:00 Introduction to Leadership Development 02:54 The Journey to Law and Corporate Life 05:59 The Challenges of Promoting Managers 09:00 Management Styles: Tight Jeans vs. Cozy Joggers 11:46 The Pause, Consider, Act Framework 15:02 Navigating Toxic Management 18:02 The Manager Method Book Launch 20:36 Self-Discovery Through Writing 22:22 The Importance of Continuous Leadership Development 23:38 AI: A Tool for Human Connection 26:57 Using AI to Enhance Team Dynamics 29:14 The Human Element in Performance Reviews 32:07 Evolving as a People Leader 34:44 The Positive Side of HR 35:54 Navigating the Future of Work 37:43 The Journey of Entrepreneurship 39:16 Defining Success in Work and Life

Vinney (Smile) Chopra is a real estate investor, entrepreneur, and mentor whose journey began with just $7 in his pocket after arriving in the United States from India. Over the past four decades, Vinney has built an extraordinary career—raising more than $250 million from investors and acquiring a real estate portfolio exceeding $1 billion. Today, he is the founder of multiple companies, a best-selling author, and the host of several podcasts dedicated to helping investors build wealth through commercial real estate.   In this episode, Vinney shares insights from his mastermind discussions about what it really takes to succeed in real estate investing today. The conversation dives deep into the strategies he uses to find deals, raise capital, and structure investments that benefit both sponsors and investors.  

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In this podcast episode, JJ discusses ZeroEyes, an AI weapons-detection software-as-a-service created in response to the Parkland shooting to make existing security cameras proactive rather than reactive. The platform works with current IP cameras (720p minimum) to detect brandished firearms (not concealed weapons) and sends detections within seconds to the ZeroEyes Operation Center, where trained former law enforcement or military personnel verify threats to reduce false positives before calling 911 and the client. The conversation covers why human judgment is kept in the loop, how special-operations mission focus shapes company culture and go-to-market, and why competitors without an operations center struggle. Key adoption challenges include limited school budgets, distracting “shiny” analytics, reliance on bonds and grants, and efforts to lower costs via insurance partnerships and state blanket funding.00:24 Origin Story Parkland02:16 Making Cameras Proactive03:50 Human in the Loop08:27 Mission Driven Culture12:12 Avoiding Shiny Analytics14:39 Budget and Funding Hurdles17:02 Partnerships and Insurance20:28 Hesitation Costs Lives22:18 Signals and Real CasesConnect with JJ: Website: https://www.jjparma.comZeroEyes: https://www.zeroeyes.comLinkedIn: JJ ParmaEmail: johnparma@zeroeyes.comConnect with Raul: • Work with Raul: https://dogoodwork.io/apply • Free Growth Resources: https://dogoodwork.io/free-growth-resources• Connect with Raul on LinkedIn (DMs open): https://www.linkedin.com/in/dogoodwork/ 

In This Episode AI is powerful—but without structured processes and reliable data, it cannot deliver meaningful results. In this episode, Adi Klevit interviews Bryan DeBois about how artificial intelligence is transforming manufacturing and industrial systems. Bryan explains why the excitement around generative AI often overlooks the unique realities of plant-floor operations, where errors can have serious consequences. In high-stakes environments like manufacturing, organizations must carefully choose the right type of AI for the job. Adi and Bryan discuss the difference between generative AI, predictive models, and autonomous AI systems. Bryan shares how manufacturers can use predictive analytics to forecast product quality, optimize set points, and improve operational performance. These models are designed to solve operational problems rather than simply generate information. The conversation also highlights a critical systems principle: AI only works when businesses have already documented their processes and established strong data collection practices. Bryan explains how companies capture expert knowledge through a process called "machine teaching," allowing AI systems to learn from experienced operators and apply that expertise to improve future performance.  

Russell Brunson joins Jay Schwedelson to reveal why traditional websites are dead and how a simple funnel can completely change your business trajectory. Russell breaks down exactly how he used AI to pull off his biggest launch ever and shares the "webinar a week" strategy that took ClickFunnels from zero to $10 million in revenue.ㅤRussell encourages everyone to start with his books—DotCom Secrets for funnel basics, Expert Secrets for messaging, and Traffic Secrets for getting eyeballs—or jump straight into the ClickFunnels community.ㅤBest Moments:(01:34) Why a confused mind always says no and how to fix it immediately(04:47) Using AI to analyze competitors and build a perfect marketing campaign(08:30) How to get $150k worth of consulting for free using simple AI tools(09:33) The specific weekly webinar strategy that took ClickFunnels to $10M(11:00) Real-time feedback loops that can double your sales during a live presentation(15:19) Why you should never stop telling your core stories even if you are bored of themㅤCheck out Jay's YOUTUBE Channel: https://www.youtube.com/@schwedelsonCheck out Jay's TIKTOK: https://www.tiktok.com/@schwedelsonCheck Out Jay's INSTAGRAM: https://www.instagram.com/jayschwedelson/ㅤPre-order Jay Schwedelson's new book, Stupider People Have Done It (out April 21, 2026). All net proceeds are donated to The V Foundation for Cancer Research—let's kick cancer's butt: https://www.amazon.com/Stupider-People-Have-Done-Marketing/dp/1637635206

In this episode, Kyle Hunt shares a variety of practical ideas pulled from recent conversations inside the Remodelers Community. He talks about the importance of focusing on fewer priorities, tackling the tasks you're most likely to avoid, and creating systems that keep projects and decisions moving forward. Kyle also touches on marketing reminders like staying in touch with past clients, experimenting with new tools like AI, and why understanding your numbers and tracking job costs is critical for running a profitable remodeling business. Join the conversation inside our free, private group for remodelers at RemodelersCommunity.com today! ----- If you're serious about improving your remodeling business, you should check out the Rise Conference from Remodelers On The Rise, happening August 11 and 12 in Ann Arbor, Michigan. This two day event is built specifically for remodeling business owners who want practical strategies they can actually implement, from improving your sales process and marketing to building a stronger team and running a more profitable business. You'll connect with remodelers from across the country, hear from experienced industry leaders, and walk away with ideas you can put into action right away. To learn more and grab your ticket, head over to remodelersontherise.com/rise. ----- Explore the vast array of tools, training courses, a podcast, and a supportive community of over 2,000 remodelers. Visit Remodelersontherise.com today and take your remodeling business to new heights! -----  Key  Topics Business focus and prioritization Using AI tools for efficiency Effective communication and presentation Financial management and profitability Celebrating wins and maintaining motivation ----- Chapters 00:00 Introduction to Remodelers on the Rise 02:04 The Value of Community in Remodeling 03:33 Focusing on Fewer Ideas for Greater Impact 06:58 Exploring AI Tools in Remodeling 09:02 The Importance of Email Marketing 11:11 Celebrating Wins in Business 16:17 Effective Client Communication Strategies 17:42 Innovative Marketing Techniques 19:55 Productivity Tips: Eating Your Frog 24:03 Understanding Job Costing and Profit Margins 27:09 Conclusion and Call to Action

The three point stance features high school kids using AI to generate highlight reels to send to recruiters, this years Celtics being very similar to last years Celtics offensively, and Chicago Bears Drew Dalman retiring at a young age.

Send a textWhat if the real AI edge isn't another tool, but a new way of working? We sit down with author and entrepreneur Bryan Cassady to break the habit of “prompt and pray” and replace it with a teammate mindset that turns AI into a collaborator you can brief, challenge, and iterate with. Instead of shiny demos, we get into the gritty, day-to-day shifts that drive measurable results.We start by naming the core failure pattern: teams deploy AI without clear objectives or a system to absorb its output. Bryan lays out how a generative organization creates new value from existing assets by designing simple loops—plan, do, study—then placing AI where it augments human judgment. He draws a sharp line between using AI like a vending machine and working with AI like a colleague, complete with context, constraints, and feedback. You'll hear a practical cold-email example that shows why context, not clever wording, is the real differentiator.Bryan shares SPARKS, a compact framework to level up results: Speak your thoughts to clarify context, Pivot so AI asks you questions, Ask for more with regeneration and feedback, Reframe the brief from new angles, Keep going past the obvious, and Stop to think before accepting answers. We explore custom instructions, red teaming, and confidence scoring to raise quality. And we dig into myths: innovation isn't a lightbulb moment, and “human in the loop” isn't always better—what matters is the order of handoffs between humans and models.You'll also hear a surprising publishing experiment: removing the paywall and adding AI tools to Bryan's book increased usage and sales. The deeper lesson for leaders is clear—reduce friction to understanding and practice, and adoption grows. Whether you're a founder, marketer, or team lead, you'll leave with concrete ways to make AI a partner in strategy, copy, research, and review. If this conversation sparks an idea, share it with a colleague, subscribe for more like this, and leave a quick review to help others find the show.This episode was recorded through a Descript call on February 3, 2026. Read the blog article and show notes here: https://webdrie.net/stop-using-ai-and-start-working-with-it..........................................................................Metricool is a new official podcast partner of Web3 CMO Stories in 2026. Metricool helps marketers and creators bring structure, clarity, and consistency to their social media workflows through analytics, planning, and reporting. Listeners can try Metricool Premium for free for 30 days using the coupon code JOERI..........................................................................

Episode #90: How Microsoft's AI Innovation Officer Actually Uses AI | Dr. Michael J. Jabbour on Thinking, Not Just Tools AI is changing our brains. How we work. How we think. And even how we feel.  The question isn't "Should I use AI?" It's "How do I direct the change?" Michael J. Jabbour says he uses AI for 70% of his work. "Not because it's faster. Because it would be irresponsible not to."

More resources? ----------------------- Watch Full Episodes in my YouTube channel! https://youtube.com/@drtjahn ---------------------- Get Your Free Copy of my book, "Podiatry Profits Book: Crafting A Seven-Figure Lifestyle Practice" to grow your podiatry practice. You just cover the shipping: https://www.podiatryprofitsbook.com ---------------------- Do you want to build your dream private practice without the hassles of insurance networks? Then schedule a FREE 45-min Strategy Session with me. We will dive to look at your current practice and I will provide you with a crystal game plan for you: https://drtjahn.com/the-profit-accelerator-session/ ---------------------- I've created this EXCLUSIVE Private Facebook Group community of like-minded podiatrists who are coming together to build their DREAM PRIVATE PRACTICE, and FREE to join!! https://www.facebook.com/groups/podiatryprofits

What is Artificial Intelligence? What does AI do? How does AI work? Have you started your FREE TRIAL of Who Smarted?+ for AD FREE listening, an EXTRA episode every week & bonus content? Sign up right in the Apple app, or directly at WhoSmarted.com and find out why more than 1,000 families are LOVING their subscription! Get official Who Smarted? Merch: tee-shirts, mugs, hoodies and more, at Who Smarted?

➡️ Want To Learn More About Partnering With with Alan Kushmakov and myself at eXp? Schedule Your 100% Confidential, 100% Zero Pressure Discovery Call: https://calendly.com/alankbesthomesre/exp-explained   ➡️ Connect with Alan Kushmakov: Facebook: https://www.facebook.com/alankushmakov Instagram: https://www.instagram.com/alankushmakov LinkTree: https://linktr.ee/alankushmakov   ➡️ Connect With Me On Social Media: Facebook: https://www.facebook.com/JoshuaSmithGSD Instagram: https://instagram.com/joshuasmithgsd/   About Joshua Smith: -Licensed Realtor/Team Leader Since 2005 -Voted 30th Top Realtor in America by The Wall Street Journal -NAR "30 Under 30" Finalist -Named Top 100 Most Influential People In Real Estate -Top 1% of Realtors/Team Leaders Worldwide -6000+ Homes Sold & Currently Selling 1+ Homes Daily -Featured In: Forbes, Wall Street Journal, Inman & Realtor Magazine -Realtor, Team Leader, Coach, Mentor

Following up on an earlier conversation about AI, this episode shifts to the product side of the discussion. Host Kimberly Rhodes chats with 37signals CEO and co-founder Jason Fried about his daily AI use, what it's helped him do more efficiently, customer expectations, and how he's thinking about AI's role in future product updates.Key Takeaways00:12 – Putting AI tools to work06:42 – Using AI to reclaim time, not replace thinking12:19 – Where 37signals sees thoughtful implementation fitting in17:16 – Why rushing adoption can backfire18:25 – The ongoing debate from the customer perspective21:45 – Why workforce changes aren't always tied to automation25:40 – Human interaction still mattersLinks and ResourcesThe owner's word weighs a ton by Jason Fried on Signal v. NoiseFizzy is a modern spin on kanban. Try it for free at fizzy.doRecord a video question for the podcastSign up for a 30-day free trial at Basecamp.comBooks by 37signalsHEY World | HEYThe REWORK podcastThe Rework Podcast on YouTubeThe 37signals Dev Blog37signals on YouTube@37signals on X

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On the Whole Whale podcast, George interviews Andy Citizen, CTO of Share More Stories, about collecting 150–300+ word experience-based stories (typed or voice) from targeted constituencies via a web app and analyzing them with AI. Share More Stories uses sequential classification across ~70 cloud models to score stories for evidence of emotions like anxiety, joy, and self-transcendence, combining these scores with light demographics and survey data, then using a generative AI agent constrained to the dataset to explore themes, anomalies, and demographic differences iteratively. They discuss nonprofit uses such as before-and-after journaling and program impact, the importance of prompts, and how AI should augment rather than automate, with emphasis on user competency, intent, validation, and avoiding hallucinations. Citizen critiques “AI everywhere” features and AI-written social content as trust-eroding, argues trust is a major opportunity, shares concerns about DevOps at scale, and reflects on community involvement and moving faster by reducing process gaps. 00:00 Meet Andy Citizen 00:50 What Share More Stories Does 01:57 Collecting Real Experience Stories 02:41 AI Scoring Emotional Signals 04:14 How Stories Are Gathered 05:24 Prompts Versus Surveys 06:26 Dashboards Reports And Agents 09:20 Nonprofit Program Evaluation Uses 12:06 Prompt Craft And Hidden Insights 14:05 AI Adoption And Training Gaps 17:46 Use Cases Lanes And Hallucinations 20:27 AI Side Of Fries And Trust 25:44 Rapid Fire Tech Questions 29:39 Personal Advice And Community 31:58 Magic Wand For Human Connection 34:12 How To Connect And Wrap Up  

How do you maintain a luxury brand while staying approachable in today's evolving real estate market? In this episode of A State of Mind, we break down luxury real estate marketing strategy, focusing on how to reach the right client through branding, video marketing, and intentional positioning. Managing Broker Tanya Starkel shares how she uses lifestyle-driven video, YouTube optimization, avatar targeting, and even AI-enhanced storytelling to attract ideal luxury buyers—without becoming a social media influencer. If you're a real estate professional looking to refine your luxury marketing strategy, clarify your brand message, and connect with modern buyers across demographics, this episode delivers practical insight you can implement immediately. You'll learn: How to define and market to your ideal client “avatar” Why lifestyle sells before the house does How to use YouTube to expand national reach The balance between premium branding and authentic service When and how to use AI in real estate video marketing How to communicate effectively across generational buyers   0:00 – Introduction 1:12 – Maintaining a Luxury Brand While Staying Approachable 6:49 – Creating Lifestyle-Driven Listing Videos 9:23 – Why YouTube Expands Your Luxury Reach 11:24 – The Investment Behind High-Quality Video Marketing 17:25 – Authentic Branding vs. Social Media Influence 21:20 – Defining and Marketing to Your Ideal Client Avatar 28:27 – Using AI to Showcase Lifestyle and Seasons 32:09 – Marketing Across Changing Demographics 35:54 – Communication Styles & Removing Client Friction

Send a textAI automation is changing how businesses handle sales calls, website builds, internal systems, and admin tasks using AI agents, prompt engineering, and real business data. This episode breaks down real world AI use cases including sales call analysis, website automation, email prioritization, and building internal AI software to replace manual workflows. Learn how companies can use AI integration, AI coding tools, and process documentation to improve efficiency, reduce overhead, and prepare for the AI shift already happening.If AI is already costing you time and money, get on a strategy call and build a custom AI system before your competitors figure it out: https://bit.ly/4jMZtxu#AIautomation #BusinessAutomation #ArtificialIntelligence #AIagents #entrepreneurship --------------------------------------------------------------------------Want free resources? Dowload our Free Amazon guides here:2026 Q1 Repeat Buyer Formula: https://bit.ly/47KJmOdGrowth Email Marketing Strategies: https://hubs.ly/Q04457QF0Amazon Proft Margin Defense 2026: https://hubs.ly/Q042trRH0Amazon SEO Toolkit 2026: https://bit.ly/4oC2ClTAmazon Seller Strategy Report 2026: https://bit.ly/3YN1RME2026 Ecommerce Website & SEO Readiness Checklist: https://hubs.ly/Q040Jg0M0Amazon Crisis Kit: https://bit.ly/4maWHn0TIMESTAMPS00:00 – AI Is Finally Ready for Business02:00 – Using AI to Analyze Sales Calls and Customer Pain Points04:00 – Extracting Amazon Seller Pain Points With AI Tools05:20 – Why Businesses Are Pivoting to AI Services09:56 – The AI Singularity and What It Means for Companies14:30 – Cutting Costs With AI Instead of Cutting Teams17:00 – Replacing Admin Work With AI Agents18:58 – Building an AI Website in One Afternoon21:35 – Live Demo: Updating a Website With AI25:42 – Building Internal AI Software With Company Data28:00 – Prompt Engineering and Iteration at Scale30:40 – Automating Email With AI for Daily Efficiency32:28 – Packaging AI Services and Selling in Public34:56 – Why AI Content Can Reach a Bigger Audience36:04 – Fixing Websites Fast With AI38:46 – AI FOMO and Moving Before It's Too Late________________________________Follow us:LinkedIn: https://www.linkedin.com/company/28605816/Instagram: https://www.instagram.com/stevenpopemag/Pinterest: https://www.pinterest.com/myamazonguys/Twitter: https://twitter.com/myamazonguySubscribe to the My Amazon Guy podcast:My Amazon Guy podcast: https://podcast.myamazonguy.comApple Podcast: https://podcasts.apple.com/us/podcast/my-amazon-guy/id1501974229Spotify: https://open.spotify.com/show/4A5ASHGGfr6s4wWNQIqyVwSupport the show

In this episode of Millions Were Made, Jessica Marx is joined by Brooke Dumas for a focused discussion on the role of AI in business strategy—and why founders must be careful not to confuse automation with leadership.As AI tools become more accessible and widely adopted, many business owners are using them to generate marketing plans, onboarding systems, offers, and internal processes. While AI can be highly effective as a research and support tool, Jessica and Brooke explain why it is not equipped to deliver true strategy, future forecasting, or market leadership—especially for six- and seven-figure businesses.They also explore the structural limitations of AI, including its reliance on historical and unvalidated data, its inability to think futuristically, and its tendency to agree rather than challenge assumptions. Through real-world examples from marketing, hiring, onboarding, and product development, they outline where AI adds value and where human expertise remains essential.This episode provides practical guidance for founders who want to integrate AI into their businesses responsibly—without outsourcing critical thinking, vision, or strategic decision-making.Listen now!Mini-timeline00:21–02:40 — Why AI strategy is a critical topic for founders right now02:41–03:20 — Can AI actually provide a real business strategy?03:21–05:45 — The limitations of AI-generated insights05:46–8:15 — Why AI-driven strategies are often outdated upon execution08:16–09:45 — The issue with AI agreeing instead of challenging assumptions09:46–12:25 — Expert decision-making versus automated responses12:26–14:50 — Why founders relying solely on AI will struggle to scale14:51–16:10 — Will AI replace businesses—or expose weak leadership?16:11–18:45 — Where AI is most effective18:46–20:30 — Using AI to gather data without replacing expertise20:31–22:10 — Why AI should be one input, not the only source22:11–23:45 — Onboarding and operational risks of AI-generated systems23:46–24:55 — Why effective onboarding requires business-specific design24:56–26:00 — Final guidance for founders using AI strategicallyResourcesFollow @millionsweremade on Instagram for frameworks + strategy tipsConnect with Jessica:Instagram: @millionsweremade | @thejessicamarxWork with Jessica: Tailored PremierWebsite: Millions Were Made

Send a textMaking Data Simple dives into the world of data security with Josh Scott, CISO and VP of Security at Hydrolix — a real-time data platform built for massive scale. Josh unpacks critical challenges like AI adoption, cybersecurity priorities, and how organizations can harness data to stay ahead, all while keeping performance high and costs down.01:02 Investing 04:25 Meet Josh Scott 10:54 Adopting AI Safely 14:42 What IS a CISO? 17:14 What Keeps a CISO Up at Night? 19:11 Using AI for Security 20:47 Two Phones? 21:36 Password Sharing 23:03 CISO Prioritization 27:39 Signal From Noise 29:29 Leadership Style 32:27 The Crystal BallLinkedIn: https://www.linkedin.com/in/joshuascott/ Website: https://www.hydrolix.io/#MakingDataSimple #DataSecurity #Cybersecurity #CISO #AIAdoption #AIAndSecurity #Hydrolix #RealTimeData #DataPlatform #InfoSec #CyberLeadership #TechPodcast #Leadership #BigData #AI #DataPrivacy #CloudSecurity #SignalVsNoiseWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send a textMaking Data Simple dives into the world of data security with Josh Scott, CISO and VP of Security at Hydrolix — a real-time data platform built for massive scale. Josh unpacks critical challenges like AI adoption, cybersecurity priorities, and how organizations can harness data to stay ahead, all while keeping performance high and costs down.01:02 Investing 04:25 Meet Josh Scott 10:54 Adopting AI Safely 14:42 What IS a CISO? 17:14 What Keeps a CISO Up at Night? 19:11 Using AI for Security 20:47 Two Phones? 21:36 Password Sharing 23:03 CISO Prioritization 27:39 Signal From Noise 29:29 Leadership Style 32:27 The Crystal BallLinkedIn: https://www.linkedin.com/in/joshuascott/ Website: https://www.hydrolix.io/#MakingDataSimple #DataSecurity #Cybersecurity #CISO #AIAdoption #AIAndSecurity #Hydrolix #RealTimeData #DataPlatform #InfoSec #CyberLeadership #TechPodcast #Leadership #BigData #AI #DataPrivacy #CloudSecurity #SignalVsNoiseWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

AI isn't about replacing people — it's about unlocking productivity and making customer experiences feel more human. On this episode of Right About Now, Ryan Alford sits down with Vinod Muthukrishnan, VP & GM of Webex Customer Experience at Cisco, to discuss how AI is transforming customer experience from fragmented interactions into continuous, context-driven conversations. Vinod explains why the purpose of AI in CX is not efficiency alone — it's humanization. From “concierge agents” that become the face of a brand to agentic systems that orchestrate complex multi-step requests across departments, this conversation explores the end of CX silos and the rise of intelligent, brand-aligned AI interfaces. They also tackle the real question everyone's asking: is AI taking jobs — or elevating them? Key Takeaways AI should make CX more human. Automation should enhance context, empathy, and continuity — not remove them. Context is the missing link in customer loyalty. Most brands reset conversations every time. AI fixes that. Concierge agents become the brand. They orchestrate backend systems while delivering one seamless customer conversation. Agentic AI moves beyond tasks. It executes complex, multi-step “jobs” across systems over time. AI won't replace humans — but AI-powered humans will win. Repetitive work declines. Strategic expertise rises. Connect With the Guest Vinod Muthukrishnan VP & GM, Webex Customer Experience – Cisco X: https://x.com/Vinod_CC LinkedIn: https://www.linkedin.com/in/vinodmkrishnan Connect With Ryan Ryan Alford Website: https://ryanisright.com Instagram: https://www.instagram.com/ryanalford LinkedIn: https://www.linkedin.com/in/ryan-alford

“You deserve it.”In this episode of Inside the Vault with Ash Cash, 7-figure speaker Jeremy Anderson delivers one of the most raw and spiritually charged conversations we've ever had.From selling drugs and running nightclubs… To losing everything… To becoming a man of faith… To generating seven figures in a single year as a speaker…Jeremy shares how your pain, your story, your obedience, and your faith are directly connected to your abundance.This episode dives deep into:Why faith and finance are under spiritual attackWhy so many people are afraid to monetize their giftsHow communication creates currencyThe “Donut Run” strategy that helped speakers land $4K–$5K checksHow AI is transforming the speaking industryWhy abundance is your birthrightHow Jeremy's nonprofit feeds 1,000 children weekly and has put 60+ students through collegeIf you've been doubting your future… If you've been questioning your assignment… If you know you have something inside you but haven't monetized it yet…This episode is your confirmation.Register for the FREE 3-Day Communicate & Captivate Virtual Summit: TheVaultSpeakers.comFollow Jeremy Anderson: @onejeremyanderson Follow Ash Cash: @iamashcash Follow Inside the Vault: @insidethevaultInside the Vault — The Greatest Money Mindset Show on the Planet.⏱ TIMESTAMPS00:00 – You've Got Something Inside You 00:33 – From the Streets to Purpose 02:33 – Communication Creates Currency 04:38 – The Spiritual War: Faith & Finance 07:46 – Why God's People Fear Charging 10:27 – Eric Thomas & High-Level Speaking Fees 12:23 – Why the 3-Day Summit Is Free 15:13 – First Step to Monetizing Your Pain 18:15 – Losing Everything & Hitting Reset 19:48 – Becoming a 7-Figure Speaker 20:52 – Feeding 1,000 Kids Every Week 23:01 – Stop Playing Small — It's Bigger Than You 25:00 – Real Students Making Six & Seven Figures 28:19 – If the Enemy Makes You Doubt, He Wins 30:16 – Character, Obedience & Alignment 34:18 – What You'll Learn at the Virtual Summit 39:09 – 97 Years of Speaking Game 40:38 – The “Donut Run” Strategy Explained 45:12 – Using AI to Build a Client Avatar 47:03 – VIP Access & Live Q&A Sessions 50:05 – Hold On Just a Little While Longer 53:32 – Obedience Unlocks Abundance 56:13 – Register Now 57:53 – Where to Follow JeremyAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

What if you could give every student a one-on-one coach without ever filming another video?   I had Jenna Soard back on the mic this week. she's the AI branding guru who went from teaching Canva to running a $5.5M business with zero video modules. We dove deep into the exact tools and strategies she uses to build hyper-custom GPTs that guide your students step-by-step, adapt to their needs, and even coach them through mindset blocks. Today on the podcast, Jenna and I break down how course creators can use AI to speed up their launch, create pro-quality assets, and deliver personalized coaching at scale. Listen in and discover:   Why custom GPTs beat static video modules every time   The secret image + video tools (ChatGPT's SORA, Mid-Journey, RunwayML) for on-brand content in seconds   How to embed GPTs into your course shell and lead magnets (no extra coding needed)  Using AI for sales objections and somatic coaching so students get real-time answers   If you're ready to stop dreading course edits and start riding the AI wave, this episode is for you. Tune in now and see how you can replace bulky videos with smart, scalable GPTs.   Did you enjoy this episode? I'd love it if you'd share it on Instagram and tag me @iambrandonlucero! Thank you for supporting the show. Find me on: IG: @iambrandonlucero Facebook: https://www.facebook.com/IAmBrandonLucero  Website: https://www.brandonlucero.com 

In this solo episode, Scott Snibbe explores an unexpected intersection of AI, music, and love. After discovering the generative music platform Suno, he created deeply personalized songs for members of his family—turning their life stories, struggles, and triumphs into hyper-specific “love songs” in the Buddhist sense of wishing others happiness. As he shares the music and the emotional reactions it evokes, Scott reflects on how art (now amplified by AI) can transform even painful memories into meaning, lift low moods, and open the heart. Episode 216: Generative Love: Using AI to Turn Lives Into SongIf you'd like to practice with others and bring these ideas into your life, join our weekly meditation community with Scott.

Hey Heal Squad! It's another What Worked This Week with Maria,  and this one is all about simple shifts that can create real healing. First up a powerful breathing technique Maria was reminded of when she chatted with someone who does bioresonance therapy. Let's just say if you have had moments of anxiety, fear, or just need a quick reset …this  exercise totally helps! It can help regulate the nervous system and move out of fight-or-flight. Such a great tool! Next a spontaneous moment with her dad that turned into something magical. Using AI tools, they created an original song in Greek which is  proof that creativity and technology can come together in the most unexpected and beautiful ways. We promise this song will make you cry even if you don't understand Greek. Then, have you ever had a “no plans” day?? Maria's cancelled commitment led to a full self care day and again it was another great reminder that rest isn't a luxury, it's necessary. Finally, forgiveness. Maria reflects on how holding onto anger can live in the body ( her hips are where she stores it!). But releasing it can open the door to true healing. We hope you love these little tools that can make the week that much better! Enjoy! HEAL SQUAD SOCIALS IG: https://www.instagram.com/healsquad/ TikTok: https://www.tiktok.com/@healsquadxmaria HEAL SQUAD RESOURCES: Heal Squad Website: https://www.healsquad.com/ Heal Squad x Patreon: https://www.patreon.com/HealSquad/membership Maria Menounos Website: https://www.mariamenounos.com My Curated Macy's Page: Shop My Macy's Storefront EMR-Tek Red Light: https://emr-tek.com/discount/Maria30 for 30% off Airbnb: https://www.airbnb.com/host AUDIBLE:  https://audible.com/healsquad AG1:  https://drinkag1.com/healsquad  Join In-Person Heal Retreat Waitlist! https://mariamenounos.myflodesk.com/heal-retreat-waitlist Suno AI Song Creator https://suno.com/ More Recent Finds: https://shopmy.us/shop/collections/3873481 ABOUT MARIA MENOUNOS: Emmy Award-winning journalist, TV personality, actress, 2x NYT best-selling author, former pro-wrestler and brain tumor survivor, Maria Menounos' passion is to see others heal and to get better in all areas of life. ABOUT HEAL SQUAD x MARIA MENOUNOS: A daily digital talk-show that brings you the world's leading healers, experts, and celebrities to share groundbreaking secrets and tips to getting better in all areas of life. DISCLAIMER: This Podcast and all related content (published or distributed by or on behalf of Maria Menounos or http://Mariamenounos.com and http://healsquad.com) is for informational purposes only and may include information that is general in nature and that is not specific to you. Any information or opinions provided by guest experts or hosts featured within website or on Company's Podcast are their own; not those of Maria Menounos or the Company. Accordingly, Maria Menounos and the Company cannot be responsible for any results or consequences or actions you may take based on such information or opinions. This podcast is presented for exploratory purposes only. Published content is not intended to be used for preventing, diagnosing, or treating a specific illness. If you have, or suspect you may have, a health-care emergency, please contact a qualified health care professional for treatment.

Monday has been hit harder than almost any other public SaaS company. With $1.3BN in ARR, the company is valued at just $3.8BN; a more than 60% fall since IPO. Today, Eran Zinman, Monday's CEO joins Harry Stebbings in the hotseat to walkthrough six of the biggest threats to Monday's business; what is real, what is not and what are the unknowns.  AGENDA: 05:47 Six Threats Monday Faces Today  07:04 Threat #1: Vibe Coding: Will Companies Vibe Code Everything 11:24 Threat #2: Will OpenAI and Anthropic Own the Application Layer  13:52 Threat #3: Will Agents Turn Monday and Salesforce into a Database 18:43 Why is Monday Adding 15% Headcount When Everyone is Cutting? 21:40 How Monday is Using AI to be More Efficient 27:49 What Happens to Seat Pricing? What Comes Next? 34:17 What No One Sees About Enterprise AI Adoption 37:13 How Google AI Overview Smashed 10% of our Customer Acquisition 38:49 If Bullish on Monday, Why Has Eran Not Bought More Stock… 40:38 How to Manage Internal Morale When Stock is Down 60% 44:08 Do Private Companies Have Advantages Public Companies Do Not Have 47:28 With $1.5BN in Cash, Why is Eran Not Buying More Companies… 53:30 What is the Most Offensive Bet Eran Would Like to Take? 57:13 Quickfire: Marriage, Biggest Short, Mentors  

In this episode, Dave and Jamison answer these questions: Hi, thank you for the podcast, I am long time listener, first time asker. Something weird is going on at my company. A colleague of my always wanted to get promoted to management, he got the opportunity, but after multiple preparatory meeting for this new promotion, HE QUIT! He did not tell what happened there, only that “it was time for something new”. Now several months later my skip level declared that he wants to be a developer again. Another manager was offered his position, which is a significant promotion (basically head of engineering), which he accepted, but after being included into high level meetings he declared that he is also QUITTING! We now have an interim Head of engineering, who declared that he is only doing this until a replacement is found. Why does no one wants to be in the management? What is happening at these meetings that people leave? Btw. the financial state of the company is not great, but not horrible, the CEO even declared that there won't be layoffs this year. So what's going on? I really like working at this company, but I can't shake the feeling after these events that I am up for a big surprise soon. Hi, I'm a senior dev at a megacorp. I'm struggling with AI. We've got a lot of initiatives around it and are expected to be using it with our work. The problem is every time I try to use it I get really frustrated. It feels like working with a junior dev who doesn't know the codebase well but knows lots of language/framework trivia. I also feel displeasure in my work turning into just reviewing some generated code and fixing it up. Especially, when you have to be very thorough because we all know that a single line of code can cause an outage. I just find no joy in this kind of work and am starting to have an aversion to it even when I just try to learn more about it. I'm also having a hard time teasing apart the hype from the reality. I'm either hearing that “the models are so great, this is the future, coding isn't a career anymore” or “this is hype, the bubble will burst soon and ruin everything.” Both of these outcomes seem kinda catastrophic but I have no idea which one to believe in (or maybe there's a 3rd option?). So, how do I overcome this aversion? How do I make sense of the hype vs. reality? How do I learn to stop worrying and love the slop? Thanks, Dr. Strangecode

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