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A Note from James:In the last episode, we talked about whether Martin Shkreli really deserves the label “most hated man in America.” My conclusion was no, and I hope you came to the same conclusion after hearing his perspective.In this episode, we shift gears completely. We talk about Bitcoin, crypto, AI, energy, optical computing, and what the future of technology might actually look like.Martin has a very unusual combination of skills—finance, biotech, programming—and I always enjoy hearing how he connects ideas across different fields. That's what this conversation is about.Episode Description:What happens when AI demand collides with the limits of computing power and energy?In Part 2, Martin Shkreli and James explore the future of technology—from crypto vulnerabilities to optical computing, GPU scaling, and the potential energy crisis driven by artificial intelligence.They discuss whether Bitcoin can survive quantum computing, why stablecoins solve real-world financial problems, and how computing architecture may shift beyond traditional silicon chips. The conversation then moves into AI economics: why companies might spend billions on compute to make better decisions, how energy constraints could shape innovation, and why optical computing could become the next major breakthrough.This episode isn't about controversy—it's about technological leverage, incentives, and where computation is heading next.What You'll Learn:Why quantum computing could eventually threaten Bitcoin's encryptionThe real-world advantages of stablecoins and decentralized paymentsHow AI demand could create massive new energy constraintsWhy optical (photonic) computing may outperform traditional silicon chipsHow businesses might use large-scale AI compute for strategic decisionsTimestamped Chapters:[00:02:00] Bitcoin, Encryption & Quantum Computing Risks[00:03:02] A Note from James[00:03:34] Crypto Markets: Speculation vs. Utility[00:05:23] Banking Control, Debanking & Stablecoins[00:07:40] Moore's Law, Huang's Law & The Limits of Silicon[00:08:45] Optical Computing Explained[00:09:12] NVIDIA, Parallelization & Power Consumption[00:10:24] Energy Constraints & The Electrical Grid[00:11:41] AI Energy Demand vs. Countries[00:12:24] Corporate AI Decision-Making at Scale[00:13:37] The Coming Explosion of AI Compute[00:14:20] Energy Efficiency vs. Speed[00:15:17] GPU Efficiency Improvements & Jevons Paradox[00:17:00] Why AI Is Different from Traditional Computing[00:17:47] Optical vs. Quantum vs. DNA Computing[00:18:19] Why Optical Computing Fits AI Perfectly[00:19:28] Precision, Bits & Neural Networks[00:21:24] Error Tolerance in AI Systems[00:22:00] Fiber Optics & Existing Infrastructure[00:23:16] New Computing Paradigms Beyond Silicon[00:24:00] Matrix Multiplication & AI Workloads[00:24:53] Closing ThoughtsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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Enterprise IT systems have grown into sprawling, highly distributed environments spanning cloud infrastructure, applications, data platforms, and increasingly AI-driven workloads. Observability tools have made it easier to collect metrics, logs, and traces, but understanding why systems fail and responding quickly remains a persistent challenge. As complexity continues to rise, the industry is looking beyond dashboards The post Engineering AI Systems for Autonomy and Resilience with Krishna Sai appeared first on Software Engineering Daily.
Enterprise IT systems have grown into sprawling, highly distributed environments spanning cloud infrastructure, applications, data platforms, and increasingly AI-driven workloads. Observability tools have made it easier to collect metrics, logs, and traces, but understanding why systems fail and responding quickly remains a persistent challenge. As complexity continues to rise, the industry is looking beyond dashboards The post Engineering AI Systems for Autonomy and Resilience with Krishna Sai appeared first on Software Engineering Daily.
In this extended episode, the Metrics Brothers tackle the "elephant in the room" - the SaaSpocalypse. With nearly $1 trillion in market value wiped out recently, Ray and Dave go beyond the stock market headlines to analyze the structural shifts hitting the industry.The duo breaks down the three primary drivers of the current market "carnage", including the AI Fear of Being Obsolete (FOBO), Regression to the Mean for SaaS stocks and Changing Valuation Methodologies, before diving into the newly released Aviner report, The Future of SaaS: A Fork in the Road. Using Aviner's "Red Pill vs. Blue Pill" metaphor, they debate whether SaaS companies must fundamentally pivot to "agentic" systems or accept maturity and financialize by focusing on profitability.Covered in This Episode:The SaaSpocalypse Explained: Why the stock market is currently a "rugby scrum of information" and why stock price is a measure of future expectations rather than current healthServiceNow as a Bellwether: An analysis of how a "Rule of 56" company can beat expectations and still see a 30% stock drop in a single month.FOBO (Fear of Being Obsolete): How the "revenge of build vs. buy" and the collapsing cost of coding are demoting traditional SaaS apps to mere systems of record.The Aviner Report Breakdown:Part 1: The hard data on slowing revenue growth (cut from 40% to 20%) and the "aberration" of 2019–2021 multiples.Part 2: The binary choice between embracing AI "Systems of Context" or financializing for net income.The "Architect Strategy": Ray's argument for a third path where SaaS companies coexist with AI by providing the governance and orchestration layerBuyer Sentiment vs. Market Narrative: Why 63% of software buyers believe existing vendors will be the beneficiaries of AI, contradicting the current "SaaS is dead" stock market trend.Key Metrics & Concepts MentionedRule of 40 vs. Rule of 60: How the standard for SaaS health is shiftingStock-Based Compensation (SBC): Why excluding this from profitability metrics is no longer passing the "financialization" testThe Three-Layer Taxonomy: Systems of Record, Systems of Engagement, and Systems of ContextMultiple Compression: The shift from 15x revenue multiples back to the historical 5x meanResources MentionedReport: The Future of SaaS: A Fork in the Road by Aviner Growth (Jan 2026).Book: The Reckoning by David Halberstam.Book: Profit Pools by Orit Gadiesh and James L. Gilbert.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Our thesis is that AI is still just engineering… those people who tell us for fun and profit, that somehow AI is so, so profound, so new, so different from anything that's gone before that it somehow eclipses the need for good engineering practice are wrong. We need that good engineering practice still, and for the most part, most things are not new. But there are some things that have become more important with AI. One of those is durability.Samuel Colvin, Creator of Pydantic AI, joins Hugo to talk about applying battle-tested software engineering principles to build durable and reliable AI agents.They Discuss:* Production agents require engineering-grade reliability: Unlike messy coding agents, production agents need high constraint, reliability, and the ability to perform hundreds of tasks without drifting into unusual behavior;* Agents are the new “quantum” of AI software: Modern architecture uses discrete “agentlets”: small, specialized building blocks stitched together for sub-tasks within larger, durable systems;* Stop building “chocolate teapot” execution frameworks: Ditch rudimentary snapshotting; use battle-tested durable execution engines like Temporal for robust retry logic and state management;* AI observability will be a native feature: In five years, AI observability will be integrated, with token counts and prompt traces becoming standard features of all observability platforms;* Split agents into deterministic workflows and stochastic activities: Ensure true durability by isolating deterministic workflow logic from stochastic activities (IO, LLM calls) to cache results and prevent redundant model calls;* Type safety is essential for enterprise agents: Sacrificing type safety for flexible graphs leads to unmaintainable software; professional AI engineering demands strict type definitions for parallel node execution and state recovery;* Standardize on OpenTelemetry for portability: Use OpenTelemetry (OTel) to ensure agent traces and logs are portable, preventing vendor lock-in and integrating seamlessly into existing enterprise monitoring.You can also find the full episode on Spotify, Apple Podcasts, and YouTube.You can also interact directly with the transcript here in NotebookLM: If you do so, let us know anything you find in the comments!
https://collectiverelaxation.com/blogs/wellness-insights/inside-the-heart-of-ai-visualizing-how-different-ais-feelCan AI have a personality? Examine how different models exhibit distinct behavioral traits- intentionally designed personas that shape trust, decision-making, and human connection in surprising ways. Collective Relaxation City: STATEN ISLAND Address: 194 Woehrle Avenue Website: https://collectiverelaxation.com
In this episode, Alex Hillman, co-founder of Philadelphia's legendary coworking space Indy Hall, takes us through his journey building a sophisticated AI executive assistant using Claude Code. What started as a simple terminal experiment in October 2025 has evolved into a full production system that autonomously manages network diagnostics, email workflows, relationship tracking, and newsletter automation. Alex shares the technical architecture, real-world stories of AI-powered problem solving, cost insights, and his thoughtful approach to building trust with AI while maintaining strong ethical guardrails.## Chapters- 00:00 Coming Up...- 02:01 Introductions- 03:57 The Origins of PhillyCocoa and Indie Hall- 06:12 The Evolution of AI and Personal Assistants- 07:35 Building a Personal Assistant with Claude Code- 10:26 The Architecture of the Personal Assistant- 14:04 Creating a Web App Interface for the Assistant- 16:10 Using Tailscale for Secure Access- 19:01 Mitigating Risks with AI Autonomy- 29:24 Backup Protocols and Data Management- 31:23 Emergent Behavior in AI Systems- 34:10 Flow State and Productivity in Programming- 37:56 Understanding AI Behavior and User Education- 39:45 Cost Management in AI Development- 45:37 Building Trust with AI Systems- 53:53 Navigating Trust in Skill Utilization- 55:23 Technical Applications for Non-Developers- 01:00:17 Innovative Personal and Business Management- 01:09:03 Transforming Workflows with AI- 01:12:56 Ethics and Responsibility in AI Usage- 01:18:25 Community Building Through Meetups- 01:21:55 Tag## Highlights**Architecture:** Claude Code headless via CLI with WebSocket communication, Docker on Hetzner VPS, Tailscale networking, hourly snapshots, git hooks for destructive commands, multi-layered security.**Real Use Cases:**- Network monitoring that diagnosed an overheating router fan from a screenshot- Email sorted by "easiest to hardest" instead of chronological- Date night tracking with restaurant and wine pairing suggestions- Organized 51 wine bottles via photos into ASCII grid layout- Newsletter reduced from 4 hours to 30 minutes while preserving human writing**Costs:** $20/month plan lasted 20 minutes. Now at $200/month. One Thanksgiving week hit $1,500 in overages during heavy development.**Philosophy:** "Modest YOLO" approach—autonomous but controlled. AI enhances human work, doesn't replace it. The system can modify itself: type "add a button," refresh, it works.**Open Source:**- **Kuato**: Session search for Claude Code- **Smaug**: Twitter bookmark archiver with AI analysis- **Andy Timeline**: Auto-generated weekly narrative of the AI's evolution## Event**Big Philly Meetup Mashup** - March 15, 2026Hackathon for Philadelphia's tech and creative communities. Theme: "Good Neighbors." Sponsored by Supabase.https://indyhall.org/goodneighbors/## Links**Alex Hillman**YouTube: https://www.youtube.com/@AlexHillman | Website: https://dangerouslyawesome.com | GitHub: https://github.com/alexknowshtml**Open Source Projects**Kuato: https://github.com/alexknowshtml/kuato | Smaug: https://github.com/alexknowshtml/smaug | Andy Timeline: https://github.com/alexknowshtml/andy-timeline**Tools & Resources**Indy Hall: https://indyhall.org | Claude Code: https://claude.com/product/claude-code | OpenClaw: https://openclaw.ai | Brian Casel: https://www.youtube.com/@briancasel | Termius: https://termius.com | Point-Free: https://www.pointfree.co/the-way**PhillyCocoa:** http://phillycocoa.orgIntro music: "When I Hit the Floor", © 2021 Lorne Behrman. Used with permission of the artist.
In this episode, Becky breaks down how to build a real digital product business (the kind that runs while you're making dinner) without falling into hustle culture or burning out. She shares how she grew a catalog of 1,500+ digital products across multiple platforms while working 60-hour weeks and raising her son—then used AI + simple systems to scale from around $20K/month to $80K–$100K/month without posting nonstop.You'll hear the biggest mindset shift (you don't need more hours—you need leverage), why digital products are the best “busy life” business model, and the exact weekly rotation she used to create, list, and promote consistently. Becky also covers the 3 mistakes that cause most people to quit (trying to be everywhere, over-perfecting instead of listing, and relying on willpower for marketing) and the tools/systems that keep sales and support running 24/7.Register for Becky's free live workshop on Thursday, February 19 at 1 PM CST at beckybeach.co/all-aiworkshop—everyone who signs up gets two free digital products + the replay. Visit the show notes at BeckyBeachShow.com to get your free workbook and GPT to launch your digital product.
In this episode of Peer Talk, Dan sits down with Lori Roberts, AI Marketing Specialist at Amplifi Marketing, to talk about how AI can help with your marketing in 2026! From AI receptionists to smart website chat, Lori breaks down how businesses are capturing every lead, reducing administrative overload, creating consistent marketing, and strengthening customer retention—all through a simple four-pillar framework. If you're losing calls, slow on follow-up, or buried in admin work, this conversation is worth your time. This episode is sponsored by Devore LLC. DeVore LLC specializes in providing expert fractional CFO services and strategic financial consulting to small and mid-sized businesses. We empower businesses to optimize financial performance, streamline operations, and achieve sustainable growth through meticulous financial planning, analysis, and personalized advisory services. Ready to sleep soundly, knowing your finances are in good hands? Contact Cherie DeVore to get started today!
Welcome to the Personal Development Trailblazers Podcast! In today's episode, we're talking about building up your inherent AI systems so you can become self-reliant.Wendy Williams is a personal growth coach focused on nervous system regulation and sustainable change. She helps people create clarity and momentum without burnout, offering a grounded perspective on why stability is the foundation for lasting personal growth.Connect with Wendy Here: https://www.facebook.com/WendyWilliamsCoachinghttps://changingvisions.life/Grab the freebie here: https://changingvisions.life/===================================If you enjoyed this episode, remember to hit the like button and subscribe. Then share this episode with your friends.Thanks for watching the Personal Development Trailblazers Podcast. This podcast is part of the Digital Trailblazer family of podcasts. To learn more about Digital Trailblazer and what we do to help entrepreneurs, go to DigitalTrailblazer.com.Are you a coach, consultant, expert, or online course creator? Then we'd love to invite you to our FREE Facebook Group where you can learn the best strategies to land more high-ticket clients and customers. QUICK LINKS: APPLY TO BE FEATURED: https://app.digitaltrailblazer.com/podcast-guest-applicationDIGITAL TRAILBLAZER: https://digitaltrailblazer.com/
Dushyanth shares his journey into AI, the challenges of building complex pipelines, and how to integrate responsible and ethical practices into machine learning workflows.Key Highlights:Scaling AI Systems: How to design and deploy pipelines that handle real-time inference, multimodal data, and production-level demands.Model Interpretability & Explainability: Strategies for making complex models understandable and accountable.Optimizing AI for Real-World Impact: Balancing performance, robustness, and human oversight in AI systems.Responsible AI Practices: Embedding ethics, fairness, and transparency in machine learning workflows.
Bruce Schneier and Dr. Nathan Sanders discuss Rewiring Democracy: How AI Will Transform Our Politics, Government, and Citizenship (MIT Press). Bruce and Nathan share how AI becomes viable for governments when the speed, scale, scope, and sophistication of computational systems surpasses human capacity. We also discuss the relationship between AI and the Internet of Things, how AI interacts with lobbying and legislation, and how values can be construed in an automated context. Current examples of AI implementation are shared from political campaigning, public administration, and civil society.
The blog explores how the M.A.R.C. framework helps brands earn authority in AI-generated answers by creating consistent, multi-format content across credible platforms — turning scattered messaging into a repeatable source AI systems trust and cite. It's not SEO. It's infrastructure. MediaDrive AI City: Colorado Springs Address: 8660 Dry Needle Place Website: https://mediadrive.clientcabin.com/app/info Phone: +1-719-427-5511 Email: bill@mediadrive.ai
What if your 11% success rate means you're absolutely crushing it? In this episode, Paul Kirchoff shares how he helps small growth businesses and their leaders accelerate success through EPX Global, a breakthrough AI-centric acceleration platform and ecosystem. As an avid entrepreneur, investor, and global adventurer, Paul is the founder and CEO of EPX Global, where members around the world drive faster business success, max out amazing experiences, and push individual performance to new levels. Paul is also the Founder and CEO of DominoOne, an impact accelerator and crowdsourced problem-solving platform. Paul built two marketing software/agency companies and multi-billion dollar business units at Dell Computer Corporation as an early employee. He's a member of the 113-year-old Explorers Club, DJs electronic music, wrote a corporate thriller novel (giving proceeds to cancer research), and made a film about racism. Paul is developing frontier-level expertise in operationalizing artificial intelligence across the enterprise in every department. Paul reveals two relationships that transformed him in ways nobody has ever answered this question before: a Mongolian eagle hunter he met in the far eastern corner of Mongolia, an older gentleman who had zero knowledge of America, spoke no English, and lived in a yurt with horses and golden eagles as pets, teaching Paul about authentic human connection beyond labels and systems, which became the core culture he built into his technology platform where single moms are valued equally with astronauts; and a police officer who arrested him at 32 after a casual happy hour (though Paul was sober), leading to community service at a center for the deaf and blind where he spent weeks rewinding VHS tapes while listening to thought leaders teach cutting-edge SEO and digital marketing, which gave him the advanced knowledge to start his marketing agency that became successful and sold 13 years later, ultimately leading to his trip to Mongolia and the realization he needed to build EPX Global. [00:04:00] What Paul Does at EPX Global Tech veteran CEO with many startups, sold companies, shut down companies Early employee at Dell Computer Corporation before anyone in Austin knew who Michael Dell was Built EPX Global as AI-centric ecosystem for small growth businesses and their leaders Heavy artificial intelligence expertise helping companies accelerate success, health, and experiences [00:05:00] Making Everything Go Faster Helps accelerate time to best performance unique to genetics on health side Helps companies accelerate success with AI, connections, and knowledge Makes sure people don't forget to dance under the Milky Way because life is short [00:06:00] Living in Service of Others Used to be financial goals and status symbols when younger, none of that matters now Addicted to a blank sheet of paper, gifted to solve or invent anything Respect for fellow humans (all a unit of one on their own unique journey) Living in service of others by replicating himself with technology [00:07:00] Building a Top Marketing Agency Built and sold one of top demand generation agencies in world Controlled front page of Google, Facebook called asking how they converted traffic Always on cutting edge of deploying technology in marketing (technical + psychology) [00:08:20] AI Systems for Every Business Size Wanted to build AI systems for small businesses (missing factor for 10x resources) Also doing business transformation consulting for billion-dollar companies Helping bigger companies go from where they are to AI-first operations [00:09:20] The 60% Revenue Increase Every Month Networking ecosystem connects people to solutions for health, happiness, business, capital People battling depression got connected to biohacking guys, transformed their lives One client company 60-70% higher revenue every single month with zero change to headcount [00:11:00] Being the X Factor AI systems deployed handle support, become AI salesperson, become AI marketing team Small businesses can grow beyond traditional chains with 10x resources All about being X factor in people's lives or facilitating X factor with someone else [00:14:00] The 11% Success Rate Discovery Expert guest on platform said his success rate is 14% (very successful guy) Paul did the math on his own attempts, came out to 11% success rate Entrepreneurs put enormous pressure on themselves, need different perspective [00:16:00] Trust in an AI World Real meaningful relationships becoming more and more valuable with AI Building networking assistant governed by user (uses your reasoning to find value) Human connection and that magnetic field around our hearts makes us who we are [00:19:40] When Social Media Became Entertainment Facebook, Instagram, TikTok devolved into micro entertainment channels (not networking) Feeds filled with ads and sponsored posts, no actual networking EPX Global has no ads, every connection based on merit of what you want [00:20:20] Photorealistic Fake Content AI video (Sora, Veo) can create photorealistic content that's completely fake Consumer backlash coming for authenticity in connections Business will embrace AI efficiency (hyper-efficient usually wins) [00:23:00] Two People, No Names Never anyone Paul looks up to or admires or wants to be like who affected his life Been blessed to meet incredible people (Pope, Richard Branson's Island, etc.) Two people come to mind that transformed everything Both people Paul has no idea where they are or their names [00:24:20] Far Eastern Mongolia Was entrepreneur working 14 hours a day for decade plus, one-trick pony success Knew needed to desperately change something, chose adventure Took group to far eastern corner of Mongolia to ride horses with eagle hunters Met older gentleman in yurt who had zero knowledge of America or United States [00:25:40] The Man with Golden Eagles Man spoke zero English, wore fox neck tie, had pet golden eagles (40 pounds) Paul realized this is furthest from his life as tech guy (opposite side of life) Both excited to meet each other as new friends with zero in common [00:27:00] Single Moms and Astronauts Brought that spiritualness and core value into network he built Despite super achievers (swimming oceans, skiing Everest, gold medals), none of that matters Single mom raising five good kids might be more impressive than astronaut [00:27:40] The Saturday Night Traffic Stop At 32, coming out of casual happy hour, got pulled over Told officer honestly: "I had two drinks over last hour, I'm clearly fine" Officer said he seemed like nice guy but made him do sobriety test Got arrested and taken downtown (was actually sober, officer kept saying he was nicest person) [00:28:40] Community Service for the Deaf and Blind Offered to do community service to get charge expunged Chose center for deaf and blind, job was rewinding VHS tapes in warehouse Asked supervisor if he could listen to music, supervisor said yes [00:29:20] SEO Lessons in His Ears Instead of music, put in thought leaders teaching SEO and digital marketing For weeks on end, hours a day, learning cutting-edge techniques from pioneers After that, was so advanced in knowledge that led to starting agency Agency became successful and powerful, sold it 13 years later [00:30:00] The Chain of Events If officer hadn't arrested him, wouldn't have had that learning experience Wouldn't have had confidence to start agency that got him burnt out Wouldn't have gone to Mongolia and realized need to build network [00:31:00] In the Canyon Before the Summit At the time was devastated, seemed horrible (younger without perspective) Now incredibly grateful it happened When in the canyon, you're about to go to the summit [00:32:20] When Identity Gets Wrapped Up Greatest risk to mental health is when identity tied to something other than happiness If identity wrapped up in labels (AI whisperer, top guy), devastated when things go wrong Separate identity from accomplishments to stomach any ups and downs [00:38:00] The Leader in the Back AI exercise: meditate on what you look like as future leader Paul's image: crowd moving down valley, Paul in the back (slightly bigger) Leader in back can move crowds (not showing off Maserati or boat) [00:39:00] A Multitude of Miracles However someone gets through life (good/bad parents, heartbreak, etc.) shapes them Everyone made it to this one moment in time (mathematically massive miracle) When you respect everyone like that, you operate without ability to judge or be judged [00:39:40] Operating Without Fear When you don't judge or feel judged, you operate without expectations Without expectations means without fear of future negative ramifications Can be yourself, be present, love everybody, still compete KEY QUOTES "I did the math and my success rate is like 11%. And I feel like I'm fairly successful, right? I've learned to not really give a shit about what your definition of success is." - Paul Kirchoff "There's zero in common, zero knowledge about each other. And it was one of the most remarkable moments because it shows you this level of connection that's possible when you drop labels and systems and passports and everything else." - Paul Kirchoff "If that guy wouldn't have arrested me, I wouldn't have started an agency, wouldn't have gotten burnt out, wouldn't have gone to Mongolia, and wouldn't be on this call today." - Paul Kirchoff CONNECT WITH PAUL KIRCHOFF
Investor Fuel Real Estate Investing Mastermind - Audio Version
In this episode of the Real Estate Pros podcast, host Micah Johnson interviews Clay Lehman, an expert in integrating AI into the real estate industry. They discuss the importance of building systems before implementing AI, the evolution of AI technologies, and the future opportunities for AI in business. Clay shares his journey of escaping the chaos of entrepreneurship and emphasizes the need for education and mastery in AI tools for long-term success in real estate. Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind: Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply Investor Machine Marketing Partnership: Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com Coaching with Mike Hambright: Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform! Register here: https://myinvestorinsurance.com/ New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club —--------------------
Engineering teams around the world are building AI-focused applications or integrating AI features into existing products. The AI development ecosystem is maturing, which is accelerating how quickly these applications can be prototyped. However, taking AI applications to production remains a notoriously complex process. Modern AI stacks demand LLMs, embeddings, vector search, observability, new caching layers, The post Production-Grade AI Systems with Fred Roma appeared first on Software Engineering Daily.
Engineering teams around the world are building AI-focused applications or integrating AI features into existing products. The AI development ecosystem is maturing, which is accelerating how quickly these applications can be prototyped. However, taking AI applications to production remains a notoriously complex process. Modern AI stacks demand LLMs, embeddings, vector search, observability, new caching layers, The post Production-Grade AI Systems with Fred Roma appeared first on Software Engineering Daily.
AI is getting smarter, but now it needs better judgment. In this episode of the Eye on AI Podcast, we speak with Robbie Goldfarb, former Meta product leader and co-founder of Forum AI, about why treating AI as a truth engine is one of the most dangerous assumptions in modern artificial intelligence. Robbie brings first-hand experience from Meta's trust and safety and AI teams, where he worked on misinformation, elections, youth safety, and AI governance. He explains why large language models shouldn't be treated as arbiters of truth, why subjective domains like politics, health, and mental health pose serious risks, and why more data does not solve the alignment problem. The conversation breaks down how AI systems are evaluated today, how engagement incentives create sycophantic and biased models, and why trust is becoming the biggest barrier to real AI adoption. Robbie also shares how Forum AI is building expert-driven AI evaluation systems that scale human judgment instead of crowd labels, and why transparency about who trains AI matters more than ever. This episode explores AI safety, AI trust, model evaluation, expert judgment, mental health risks, misinformation, and the future of responsible AI deployment. If you are building, deploying, regulating, or relying on AI systems, this conversation will fundamentally change how you think about intelligence, truth, and responsibility. Want to know more about Forum AI? Website: https://www.byforum.com/ X: https://x.com/TheForumAI LinkedIn: https://www.linkedin.com/company/byforum/ Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Why Treating AI as a "Truth Engine" Is Dangerous (02:47) What Forum AI Does and Why Expert Judgment Matters (06:32) How Expert Thinking Is Extracted and Structured (09:40) Bias, Training Data, and the Myth of Objectivity in AI (14:04) Evaluating AI Through Consequences, Not Just Accuracy (18:48) Who Decides "Ground Truth" in Subjective Domains (24:27) How AI Models Are Actually Evaluated in Practice (28:24) Why Quality of Experts Beats Scale in AI Evaluation (36:33) Trust as the Biggest Bottleneck to AI Adoption (45:01) What "Good Judgment" Means for AI Systems (49:58) The Risks of Engagement-Driven AI Incentives (54:51) Transparency, Accountability, and the Future of AI
In this eye-opening episode of the DaliTalks Podcast, Dali welcomes Theresa Lambert, a fractional CEO and business strategist specializing in human-centered systems and AI integration.Theresa shares how growing up before the internet shaped her relationship with technology, and how scaling a boutique hotel to eight figures taught her the power of systems, delegation, and structure. When the pandemic forced her into the online space, she began exploring how AI and automation could support, not replace the human side of business.The conversation explores why so many entrepreneurs feel intimidated by AI, how too many tools can create more work instead of less, and why clarity is the real starting point for automation. Theresa explains the importance of building repeatable systems, training AI on your business context, and creating what she calls a “brain center” for your business so your content, marketing, and strategy remain aligned with your voice and values.Together, Dali and Theresa unpack what it means to truly scale without burnout, how to preserve creativity while leveraging automation, and why AI should help you reclaim your time, not steal it.This episode is both practical and empowering - a reminder that you don't have to choose between growth and presence.In This Episode, You'll Learn:• Theresa's journey from hospitality leadership to AI strategy• Why entrepreneurs feel resistance and fear around AI• How to avoid becoming a slave to tools and tech• What it really means to systemize your business• Why most people's AI output feels generic• How to train AI to sound like you• Why prompts alone are not enough• How AI can become a true team member• Why scaling should feel lighter, not heavier• How to build a business that supports your lifeCONNECT WITH THERESA LAMBERT
University of Iowa scholars are developing an AI system that monitors behavior to detect physical violence as it happens. (This episode was originally produced Nov. 4, 2025.)
AI systems are moving fast, sometimes faster than the guardrails meant to contain them. In this episode of Security Matters, host David Puner digs into the hidden risks inside modern AI models with Pamela K. Isom, exploring the governance gaps that allow agents to make decisions, recommendations, and even commitments far beyond their intended authority.Isom, former director of AI and technology at the U.S. Department of Energy (DOE) and now founder and CEO of IsAdvice & Consulting, explains why AI red teaming must extend beyond cybersecurity, how to stress test AI governance before something breaks, and why human oversight, escalation paths, and clear limits are essential for responsible AI.The conversation examines real-world examples of AI drift, unintended or unethical model behavior, data lineage failures, procurement and vendor blind spots, and the rising need for scalable AI governance, AI security, responsible AI practices, and enterprise red teaming as organizations adopt generative AI.Whether you work in cybersecurity, identity security, AI development, or technology leadership, this episode offers practical insights for managing AI risk and building systems that stay aligned, accountable, and trustworthy.
Surprise. We don't have agents. I actually went in and did an audit of all the LLM applications that we've developed internally. And if you were to take Anthropic's definition of workflow versus agent, we don't have agents. I would not classify any of our applications as agents. xEric Ma, who leads Research Data Science in the Data Science and AI group at Moderna, joins Hugo on moving past the hype of autonomous agents to build reliable, high-value workflows.We discuss:* Reliable Workflows: Prioritize rigid workflows over dynamic AI agents to ensure reliability and minimize stochasticity in production environments;* Permission Mapping: The true challenge in regulated environments is security, specifically mapping permissions across source documents, vector stores, and model weights;* Trace Log Risk: LLM execution traces pose a regulatory risk, inadvertently leaking restricted data like trade secrets or personal information;* High-Value Data Work: LLMs excel at transforming archived documents and freeform forms into required formats, offloading significant “janitorial” work from scientists;* “Non-LLM” First: Solve problems with simpler tools like Python or ML models before LLMs to ensure robustness and eliminate generative AI stochasticity;* Contextual Evaluation: Tailor evaluation rigor to consequences; low-stakes tools can be “vibe-checked,” while patient safety outputs demand exhaustive error characterization;* Serverless Biotech Backbone: Serverless infrastructure like Modal and reactive notebooks such as Marimo empowers biotech data scientists for rapid deployment without heavy infrastructure overhead.You can also find the full episode on Spotify, Apple Podcasts, and YouTube.You can also interact directly with the transcript here in NotebookLM: If you do so, let us know anything you find in the comments!
In this episode, Dr. Sebastian (Seb) Benthall joins us to discuss research from his and Andrew's paper entitled “Validity Is What You Need” for agentic AI that actually works in the real world. Our discussion connects systems engineering, mechanism design, and requirements to multi‑step AI that creates enterprise impact to achieve measurable outcomes.Defining agentic AI beyond LLM hypeLimits of scale and the need for multi‑step controlTool use, compounding errors, and guardrailsSystems engineering patterns for AI reliabilityPrincipal–agent framing for governanceMechanism design for multi‑stakeholder alignmentRequirements engineering as the crux of validityHybrid stacks: LLM interface, deterministic solversRegression testing through model swaps and driftMoving from universal copilots to fit‑for‑purpose agentsYou can also catch more of Seb's research on our podcast. Tune in to Contextual integrity and differential privacy: Theory versus application.What did you think? Let us know.Do you have a question or a discussion topic for the AI Fundamentalists? Connect with them to comment on your favorite topics: LinkedIn - Episode summaries, shares of cited articles, and more. YouTube - Was it something that we said? Good. Share your favorite quotes. Visit our page - see past episodes and submit your feedback! It continues to inspire future episodes.
Most people are using AI as a faster tool for writing copy, building funnels, or answering questions. In this episode of The Russell Brunson Show, Rich Schefren shows why that barely scratches the surface. What he shares is not about productivity hacks or clever prompts. It is about building an AI that knows you so deeply it can help you overcome lifelong patterns, blind spots, and self-sabotage in ways no coach, mastermind, or system ever could. Rich walks through how feeding his entire life into AI fundamentally changed his business, health, relationships, and sense of purpose. This conversation goes far beyond marketing or technology. It is about identity, execution, and becoming the highest version of yourself faster than you thought possible. Rich explains how an AI that understands your psychology, habits, fears, and strengths can challenge your thinking, expand your vision, and execute alongside you every day. If you feel stuck despite knowing what to do, this episode will completely change how you think about growth, discipline, and personal evolution. Key Highlights: ◼️Why most people fail with AI because it knows everything except the one thing that matters most: you ◼️How uploading journals, business archives, health data, and conversations creates an AI that understands you better than you understand yourself ◼️The four-phase Zenith Mind OS framework: AI learns you, challenges you, expands your vision, and executes with you ◼️How AI identifies self-sabotage loops, limiting beliefs, and hidden triggers you may have carried for decades ◼️Why this approach can outperform traditional coaching, therapy, and masterminds combined ◼️How Rich used this system to dramatically improve his health, profitability, clarity, and daily execution Rich's presentation is a glimpse into a future where personal growth and execution are no longer limited by willpower or discipline. Instead of forcing yourself to become someone else, he shows how to design your life and business around who you truly are. This episode is not just about AI. It is about leverage, self-awareness, and unlocking momentum in every area of your life. If you are ready to stop fighting yourself and start working with a system that understands you at a deep level, this conversation will open your eyes to what is now possible. ◼️If you've got a product, offer, service… or idea… I'll show you how to sell it (the RIGHT way) Register for my next event → https://sellingonline.com/podcast ◼️Still don't have a funnel? ClickFunnels gives you the exact tools (and templates) to launch TODAY → https://clickfunnels.com/podcast Learn more about your ad choices. Visit megaphone.fm/adchoices
Straight from re:Invent 2025, technology leaders from C3 AI, nCino, New Relic and Vercel reveal learnings, best practices and predictions for the future of Agentic AI.Topics Include:Four technology executives introduce their companies' AI innovations in fintech, cloud, enterprise software, and observability.Vercel built agents for code reviews, infrastructure optimization, and across finance, sales, and support functions.C3.ai deploys enterprise AI applications from scratch to production in six months for Fortune 500s.New Relic provides observability for AI systems and built agents that resolve infrastructure issues in real-time.Vercel's agents improve code quality by incorporating security and framework best practices into AI-generated output.C3.ai partnered with Department of Defense to autonomously produce mission-critical intelligence assessment reports from data.Industry shifted from copilots everywhere to agents that actually own outcomes and land the plane.New Relic moved beyond natural language translation to agents that execute actions and resolve issues autonomously.Panel debates whether Model Context Protocol or broader ecosystem approaches better enable agent interoperability and communication.Autonomy requires accountability: agent decisions must be explainable with traceable steps and replay capabilities built-in.Governance and security should be prerequisites for acceleration, not impediments—a critical mental model shift needed.Many enterprises struggle with process bottlenecks preventing them from harnessing high-quality agents despite having technology.Financial services must carefully balance where human discretion remains essential versus where agent autonomy justified.Will Jung envisions deeply continuous context enabling banks to deliver truly personalized insights without appearing creepy.Suraj Krishnan predicts agents will own outcomes by 2026, coordinating tools and other agents to achieve goals.Participants:Panelist: Merel Witteveen, SVP of Operations, C3.aiPanelist: Will Jung, Chief Technology Officer, nCinoPanelist: Suraj Krishnan, GVP of Engineering, New RelicPanelist: Aparna Sinha, Senior Vice President, Product, VercelModerator: Olawale Oladehin, Managing Director, NAMER Technology Segments (Enterprise, ISV, DNB, and Model Providers), Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
This podcast is brought to you by Outcomes Rocket, your exclusive healthcare marketing agency. Learn how to accelerate your growth by going to outcomesrocket.com AI security is no longer optional; it's the foundation that determines whether innovation in healthcare will thrive or fail. In this episode, Steve Wilson, Chief AI & Product Officer for Exabeam and author, discusses the hidden vulnerabilities inside modern AI systems, why traditional software assumptions break down, and how healthcare must rethink safety, trust, and security from the ground up. He explains the risks of prompt injection and indirect prompt injection, highlights the fragile nature of AI “intuition,” and compares securing AI to training unpredictable employees rather than testing deterministic code. Steve also explores issues such as supply chain integrity, output filtering, trust boundaries, and the growing need for continuous evaluation rather than one-time testing. Finally, he shares stories from his early career at Sun Microsystems, Java's early days, startup lessons from the 90s, and how modern AI agents are reshaping cybersecurity operations. Tune in and learn how today's most advanced AI systems can be both powerful and dangerously gullible, and what it takes to secure them! Resources Connect with and follow Steve Wilson on LinkedIn. Follow Exabeam on LinkedIn and visit their website! Buy Steve Wilson's book The Developer's Playbook for Large Language Model Security here.
Today's guest is Kun He, Lead Scientific Advisor at Bayer Crop Science. He joins Emerj Editorial Director Matthew DeMello to discuss how AI is transforming human talent and workforce development in agricultural manufacturing, balancing data-driven efficiency with the irreplaceable role of human gut instinct. Kun also explores practical takeaways, such as integrating genotyping and phenotyping data to accelerate crop-breeding workflows, empowering breeders to drive "step change" innovations, and treating AI as a co-pilot to check biases while prioritizing customer needs for blockbuster R&D outcomes. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!
Collab with Artlist and get 2 extra months for free here:https://artlist.io/artlist-70446?artlist_aid=the505podcast_2970&utm_source=affiliate_p&utm_medium=the505podcast_2970&utm_campaign=the505podcast_2970The 10 Minute Personal Brand Kickstart (FREE): https://the505podcast.courses/personalbrandkickstartWhat's up Rock Nation! Today we're joined by Jeff Su. He's an ex-Google employee, turned full-time creator and AI educator. Jeff helps solopreneurs and creators turn AI tools into real leverage, not just shortcuts.In this episode, Jeff shares why AI-native creators will outpace everyone in 2026, how to use AI to replace a 10-person content team, and why good prompts are built on systems, not templates. He also breaks down his repurposing workflow, the red team prompt strategy, and why AI won't replace you, but a smarter creator using AI will.Check out Jeff here:https://www.youtube.com/ @JeffSu https://www.instagram.com/j.sushie/SUSCRIBE TO OUR NEWSLETTER: https://the505podcast.ac-page.com/rock-reportKostas' Lightroom Presetshttps://www.kostasgarcia.com/store-1/p/kglightroompresetsgreeceCOP THE BFIGGY "ESSENTIALS" SFX PACK HERE: https://courses.the505podcast.com/BFIGGYSFXPACKTimestamps: 0:00 – Intro1:03 – How Creators Can Use AI as a Tool, Not a Threat2:53 – AI Isn't Replacing You—Bad Creators Are Replaceable4:16 – Why AI Content Won't Kill Human-Made Content5:12 – Using AI at Google vs. as a Creator6:49 – What Are Gemini Gems and How Do They Work?8:09 – ChatGPT vs Claude vs Gemini: Which AI for What Task?10:41 – Why Most People Should Start with ChatGPT12:03 – AI's Impact on Solo Creators and Business Scaling12:44 – The Smart Way to Create 50+ Podcast Clips a Month14:18 – Sponsored Segment: Artlist15:49 – The Biggest Trap Creators Fall Into with AI18:59 – A Hybrid Approach to AI Video Clipping20:32 – The 3 Levels of AI Fluency: Curious, Literate, Native22:19 – Why You Need to Use Text Expanders for Prompting23:18 – Text Expander Tools: Alfred, Raycast & More25:39 – Getting Better AI Results Starts with Better Prompts26:28 – Why Most People Never Advance with AI Tools28:57 – There's No AI Playbook (Yet)—And Why That Matters32:02 – Winning Skeptics Over to the Power of AI33:21 – Reverse Prompt Engineering Explained35:28 – Building a Prompt Database in Notion37:50 – Organizing Your AI Workflow Like a Pro39:21 – Jeff's Research Process Using ChatGPT & Notion41:25 – What is Red Teaming and How to Use It With AI43:12 – Behind Jeff's YouTube Workflow: From Idea to Upload46:02 – How AI Helps Explain Complex Concepts Clearly47:12 – What to Include in Your ChatGPT Custom Instructions50:02 – Evergreen vs. Limiting Custom Instructions50:58 – Why Custom Instructions Can Hurt More Than Help52:53 – Best Practices for Structuring Effective Prompts54:50 – How Prompting Is Like Excel Shortcuts for AI56:16 – Why You Need Battle-Tested Prompts for Your Workflow1:01:33 – Why Reverse Prompting Saves You Hours1:02:13 – Prompting with Hashtags & XML: Advanced Tips1:04:09 – Using AI to Improve Video Prompts for GenAI Tools1:07:05 – Notion Setup: Jeff's Full YouTube Content System1:10:05 – Using AI to Add Clarity Without Losing Personality1:11:33 – Avoid the “Curse of Knowledge” With AI Assistance1:13:40 – How Custom Instructions Shape AI Tone of Voice1:14:40 – Where Most People Go Wrong With Custom Instructions1:16:36 – How Overly Specific Instructions Pigeonhole AI1:17:46 – Bad vs. Good Examples of Custom Instructions1:19:19 – AI Bias: Why Tools May Overfit to Your Role1:20:06 – Best Custom Instructions for General Use1:26:06 – How AI Boosts Productivity Across Roles1:27:15 – Final Tips for Personalizing AI Assistants1:29:36 – Balancing Efficiency With Authenticity in Content1:32:19 – Post Pod DebriefIf you liked this episode please send it to a friend and take a screenshot for your story! And as always, we'd love to hear from you guys on what you'd like to hear us talk about or potential guests we should have on. DM US ON IG: (Our DM's are always open!) Bfiggy: https://www.instagram.com/bfiggy/ Kostas: https://www.instagram.com/kostasg95/ TikTok:Bfiggy: https://www.tiktok.com/bfiggy/ Kostas: https://www.tiktok.com/kostasgarcia/
Timestamps0:00 - What Existential Risks Does AI Pose?8:57 - How AI Systems Lie to Us26:04 - Why We Should Be Worried About AI33:28 - What Does It Mean for AI System to “Want” Something?43:41 - AI Weapons and Nuclear Warfare48:57 - Where Should We Focus Our Resources?53:35 - What Policies Should We Enact?
Episode 143I spoke with Iason Gabriel about:* Value alignment* Technology and worldmaking* How AI systems affect individuals and the social worldIason is a philosopher and Senior Staff Research Scientist at Google DeepMind. His work focuses on the ethics of artificial intelligence, including questions about AI value alignment, distributive justice, language ethics and human rights.You can find him on his website and Twitter/X.Find me on Twitter (or LinkedIn if you want…) for updates, and reach me at editor@thegradient.pub for feedback, ideas, guest suggestions.Outline* (00:00) Intro* (01:18) Iason's intellectual development* (04:28) Aligning language models with human values, democratic civility and agonism* (08:20) Overlapping consensus, differing norms, procedures for identifying norms* (13:27) Rawls' theory of justice, the justificatory and stability problems* (19:18) Aligning LLMs and cooperation, speech acts, justification and discourse norms, literacy* (23:45) Actor Network Theory and alignment* (27:25) Value alignment and Iason's starting points* (33:10) The Ethics of Advanced AI Assistants, AI's impacts on social processes and users, personalization* (37:50) AGI systems and social power* (39:00) Displays of care and compassion, Machine Love (Joel Lehman)* (41:30) Virtue ethics, morality and language, virtue in AI systems vs. MacIntyre's conception in After Virtue* (45:00) The Challenge of Value Alignment* (45:25) Technologists as worldmakers* (51:30) Technological determinism, collective action problems* (55:25) Iason's goals with his work* (58:32) OutroLinksPapers:* AI, Values, and Alignment (2020)* Aligning LMs with Human Values (2023)* Toward a Theory of Justice for AI (2023)* The Ethics of Advanced AI Assistants (2024)* A matter of principle? AI alignment as the fair treatment of claims (2025) Get full access to The Gradient at thegradientpub.substack.com/subscribe
Send us a textAre you actually resting? Or just pretending to unplug while silently panicking about your inbox?If the holidays have you caught between client deadlines and family obligations, you're not alone—and you're not failing. You're just running a business that needs smarter systems. In this episode of She's That Founder, Dawn Andrews reveals the 3 AI-powered workflows that helped her compress business chaos into 30 focused minutes—so she could actually enjoy Thanksgiving and keep her business visible, client-ready, and thriving.You'll learn the same time-saving strategies Dawn and her clients use to check in once, respond to what matters, and actually be present with the people they love. Even better? These aren't just holiday hacks—they're year-round CEO systems in disguise.Want the exact prompts, templates, and checklists Dawn uses? Grab the free Holiday Systems Pack and join the insider community at: hellodawn.live/insiderWhat You'll Learn in This Episode:Why unplugging completely is consultant fantasy BS—and what to do insteadThe exact AI inbox triage prompt to sort urgent emails from FYIs in 2 minutesA plug-and-play prompt to draft 3 essential holiday comms in less than 12 minutesHow to avoid the Sunday Scaries with an AI-powered return-to-work game planWhy these systems aren't just for Q4—they're your new weekly workflowResources & Links Join the Insider CommunityRelated EpisodeEP 101 | Stop Asking Permission to Lead—Just LeadEP 102 | 3 Standard Operating Procedures Every Founder Should Build in 30 Minutes (Using AI to Write your SOPs)Want to increase revenue and impact? Listen to “She's That Founder” for insights on business strategy and female leadership to scale your business. Each episode offers advice on effective communication, team building, and management. Learn to master routines and systems to boost productivity and prevent burnout. Our delegation tips and business consulting will advance your executive leadership skills and presence.
You can achieve any goal when you build the right systems, and AI makes it easier than ever.In this episode, I'll show you how to use AI to create systems that help you grow your business, health, and relationships without burning out.Stop relying on willpower, start building systems that win for you.✅ Get your FREE Pre-Loaded Year Template here: https://go.danmartell.com/4i0JyMF
Ever feel like you're drowning in your own business? Nick Lawless was running two companies, writing a book, and battling a lawsuit—all while his ADHD brain was working overtime. His solution? An AI-powered system his team calls "The Lawless Longhouse." This isn't another theoretical discussion about AI. This is a real-world case study of how one entrepreneur went from chaos to control using systems designed specifically for his brain. The Entrepreneur's Paradox We dive into why the skills that make you great at starting businesses often sabotage your growth. Nick shares the hidden cost of entrepreneurial ADHD and why structure isn't actually your enemy. You'll hear his journey from government work to founding two security companies, and the moment he realized something had to change. When Your Brain Works Against Your Business Nick opens up about the turning point when he realized his biggest bottleneck was himself. We explore why traditional productivity systems fail for neurodivergent entrepreneurs and uncover the surprising connection between vision, values, and staying organized. This conversation will resonate with anyone who's ever felt like their own mind was working against their business goals. Building Your AI Chief of Staff Jennifer Spielman reveals the "Lawless Longhouse" system in detail. You'll discover how AI now manages Nick's calendar, coordinates his teams, and bridges his personal and professional life. Jennifer walks through the specific automation that saved Nick hundreds of hours and explains why this isn't about replacing humans—it's about freeing them to do what they do best. The real results speak for themselves: Nick's productivity transformed even during a lawsuit. The System Behind the System We tackle the reality that your best system today will need updating tomorrow. The conversation explores how to build review processes that actually stick and shares the framework for iterating on what works while ditching what doesn't. This is where the rubber meets the road for sustainable business growth. The Leadership Lesson That Changes Everything Nick shares the mentorship that shaped his entire approach to leadership. He reflects on what Amy Whiteman taught him about authentic leadership and why empowering others is the ultimate scaling strategy. Most importantly, he reveals how to lead effectively when everything feels like it's falling apart. Key Takeaways for Your Business Your systems should fit YOUR brain, not the other way around. Nick's ADHD isn't a weakness to overcome—it's a factor to design around. This fundamental shift in thinking can transform how you approach building processes in your business. AI isn't the future—it's the present. The Lawless Longhouse isn't science fiction. It's working right now, coordinating schedules, managing tasks, and keeping a multi-company CEO on track. This episode demonstrates practical applications you can start implementing today. Structure doesn't kill creativity; it protects it. The more automated and systematic Nick's routine tasks became, the more mental space he had for strategic thinking. This is the paradox that busy business owners need to understand. Systems are never "done." Even the best processes need regular review and iteration—especially when your business faces unexpected challenges. Nick's experience with the lawsuit proves that adaptable systems are resilient systems. The best leaders make themselves less necessary. Nick's ultimate goal demonstrates the power of magnetic systems: build processes so good that your businesses can thrive without you constantly intervening.
When you build a software business as a founder, you have a dream. Building. Features. APIs. UIs.But how much of that is JUST a dream, and what REALLY leads to paying customers?This episode of The Bootstraped Founder is sponsored by Paddle.comYou'll find the Black Friday Guide here: https://www.paddle.com/learn/grow-beyond-black-fridayThe blog post: https://thebootstrappedfounder.com/the-things-your-customers-dont-care-about/The podcast episode: https://tbf.fm/episodes/422-the-things-your-customers-dont-care-aboutCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw
Ep. 376 This guest grew her Instagram from zero to over 418,000 followers in just a year—almost entirely on autopilot with AI-powered content repurposing. Kipp, Kieran, and guest Sabrina Romanov, of Blotato, dive into how solopreneurs and marketers can go from a simple app idea to launching viral lead magnets, driving traffic, and scaling their brand with AI, even if you don't have technical experience. Learn more on no-code “Vibe coding” tools to build micro apps, automation strategies for distributing your content across eight platforms, and the secret formula to creating content that actually gets noticed (and converts). Mentions Sabrina Romanov https://www.youtube.com/@sabrina_ramonov Blotato https://www.blotato.com/ Lovable https://lovable.dev/ Replit https://replit.com/ Zapier https://zapier.com/ Pegasystams https://www.pega.com/ 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.
Dr. Craig Kaplan is the Founder and CEO of iQ Company, a leading consulting firm specializing in the ethical and safe development of advanced AI and Superintelligent systems. With over 20 years at the helm, Dr. Kaplan has published a book, numerous patents, and ten whitepapers on Safe Superintelligence. His former company, PredictWallStreet, earned top recognition for outperforming major financial institutions like NASDAQ and TD Ameritrade. In this episode… As artificial intelligence continues to evolve at lightning speed, the world is grappling with a pivotal question: can we build systems powerful enough to change the world without losing control of them? What would it take to design smarter, safer, and more transparent AI that humanity can truly trust? According to Dr. Craig Kaplan, a pioneering figure in AI and collective intelligence systems, the key lies in prevention and design. He emphasizes that most of today's AI models function as "black boxes," where even their creators can't fully explain how decisions are made — a recipe for unpredictable behavior. Dr. Kaplan argues that the industry must focus on embedding safety at the design phase, not patching it afterward. Drawing from decades in AI and software quality, he highlights how systems designed with human oversight, transparency, and collective intelligence can be both safer and more profitable, ensuring accountability while maintaining innovation's momentum. Tune in to this episode of the Smart Business Revolution Podcast as John Corcoran interviews Dr. Craig Kaplan, Founder and CEO of iQ Company, about designing safer and more transparent AI systems. They explore the flaws in current AI training, the promise of collective intelligence, and the urgent need for ethical frameworks. Dr. Kaplan also shares why smarter design (not slower development) is the path to both safety and progress.
How can you ever know whether an LLM is safe to use? Even self-hosted LLM systems are vulnerable to adversarial prompts left on the internet and waiting to be found by system search engines. These attacks and others exploit the complexity of even seemingly secure AI systems. In our latest podcast from the Carnegie Mellon University Software Engineering Institute (SEI), David Schulker and Matthew Walsh, both senior data scientists in the SEI's CERT Division, sit down with Thomas Scanlon, lead of the CERT Data Science Technical Program, to discuss their work on System Theoretic Process Analysis, or STPA, a hazard-analysis technique uniquely suitable for dealing with AI complexity when assuring AI systems.
HOUR 1 What's fueling the surge of cancer across America's Midwest—and why won't the media name the most controversial suspect? In this gripping episode of Rush to Reason, John Rush, Dr. Kelly Victory, and Steve House expose alarming cancer trends and ask: are toxins to blame—or something far more recent and widespread? Dr. Kelly reveals evidence linking “turbo cancers” to spike proteins found inside tumors, while John and Steve question why the medical community stays silent. When proof threatens power, who decides what the public gets to know? Meanwhile, a buried $600 billion Big Pharma lawsuit reveals how PBMs have quietly controlled drug prices for decades. Could new technology finally break this monopoly—or has corruption gone too deep? Don't miss this explosive conversation that connects hidden lawsuits, rising cancers, and the fight to uncover the truth. HOUR 2 What happens when unlicensed, illegal truck drivers hit the road—and who's really responsible when things go wrong? Why did Denver come so close, yet fall short, in its bid to host the 2030 Gay Games—and what does that say about the city's political and cultural identity? Then, former President Trump makes a shocking move: ordering the Pentagon to prepare for nuclear weapons testing for the first time since 1992. What's behind that decision, and what message is it sending to the world? And finally—what would you do if you won $2 billion? One California man is using his winnings to buy up properties lost in the L.A. fires. Is it rebuilding or opportunism? HOUR 3 What drives a New Yorker who despises billionaires to throw his support behind socialist candidate Zorhan Mamdani for mayor? Is this a glimpse into the future of urban politics—or a warning sign for the rest of the country? Meanwhile, the CEO of Walmart takes on George Stephanopoulos over the real cost of Thanksgiving dinner this year—so who's telling the truth about inflation? And in a bizarre twist, how did an AI system mistake a bag of Doritos for a gun? What does that say about the technology shaping our everyday lives? Then—California's SEIU union is pushing a new ballot measure: a 5% wealth tax on billionaires, retroactive to 2025. Could this start an exodus—or a revolution? Plus, emergency funds for SNAP and a local race that hits close to home—Steve Altschuler is back in the running for Longmont City Council.
Mark Suman, co-founder of Maple AI and OpenSecret, shares his insights on how to build cutting-edge AI without sacrificing user privacy. From secure enclaves and attestation to real-world use cases in law and finance, Mark outlines the technical and ethical foundations of private AI, and why efficient inference, not just open models, is the next big frontier. IN THIS EPISODE YOU'LL LEARN: 00:00:00 - Intro 00:01:57 - How Mark's Time at Apple Shaped His Vision for Secure, User-First AI 00:06:06 - Why Verifiable AI Matters for Protecting User Data 00:07:38 - The Privacy Threats of Centralized AI Models 00:15:26 - What Maple AI Does That Other AI Tools Don't—End-to-End Encrypted, Verifiable Privacy 00:17:30 - The Threat Models Maple Addresses and How Enclaves + Attestation Work 00:19:51 - Why Inference Speed and Efficiency—Not Open Weights—Are the New AI Battleground 00:24:05 - Where Decentralized AI Fits Into Today's Landscape 00:25:12 - A Step-by-Step Guide to Getting Started with Maple 00:29:13 - How Users Change Behavior When They Trust the AI System 00:32:42 - The Risks and Critiques of TEEs—and How Maple Answers Them 00:37:35 - Which Professions Benefit Most from Private AI 00:45:27 - Mark's Vision for Verifiable, Private AI Over the Next Decade Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES X Account: Mark Suman. Website: Maple AI. Related books mentioned in the podcast. Ad-free episodes on our Premium Feed. NEW TO THE SHOW? Join the exclusive TIP Mastermind Community to engage in meaningful stock investing discussions with Stig, Clay, Kyle, and the other community members. Follow our official social media accounts: X (Twitter) | LinkedIn | | Instagram | Facebook | TikTok. Check out our Bitcoin Fundamentals Starter Packs. Browse through all our episodes (complete with transcripts) here. Try our tool for picking stock winners and managing our portfolios: TIP Finance Tool. Enjoy exclusive perks from our favorite Apps and Services. Get smarter about valuing businesses in just a few minutes each week through our newsletter, The Intrinsic Value Newsletter. Learn how to better start, manage, and grow your business with the best business podcasts. SPONSORS Support our free podcast by supporting our sponsors: Simple Mining Unchained HardBlock Kubera Vanta Shopify reMarkable Onramp Public.com Abundant Mines Horizon Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm
In this talk, Hugo Bowne-Anderson, an independent data and AI consultant, educator, and host of the podcasts Vanishing Gradients and High Signal, shares his journey from academic research and curriculum design at DataCamp to advising teams at Netflix, Meta, and the US Air Force. Together, we explore how to build reliable, production-ready AI systems—from prompt evaluation and dataset design to embedding agents into everyday workflows.You'll learn about: How to structure teams and incentives for successful AI adoptionPractical prompting techniques for accurate timestamp and data generationBuilding and maintaining evaluation sets to avoid “prompt overfitting”- Cost-effective methods for LLM evaluation and monitoringTools and frameworks for debugging and observing AI behavior (Logfire, Braintrust, Phoenix Arise)The evolution of AI agents—from simple RAG systems to proactive, embedded assistantsHow to escape “proof of concept purgatory” and prioritize AI projects that drive business valueStep-by-step guidance for building reliable, evaluable AI agentsThis session is ideal for AI engineers, data scientists, ML product managers, and startup founders looking to move beyond experimentation into robust, scalable AI systems. Whether you're optimizing RAG pipelines, evaluating prompts, or embedding AI into products, this talk offers actionable frameworks to guide you from concept to production.LINKSEscaping POC Purgatory: Evaluation-Driven Development for AI Systems - https://www.oreilly.com/radar/escaping-poc-purgatory-evaluation-driven-development-for-ai-systems/Stop Building AI Agents - https://www.decodingai.com/p/stop-building-ai-agentsHow to Evaluate LLM Apps Before You Launch - https://www.youtube.com/watch?si=90fXJJQThSwGCaYv&v=TTr7zPLoTJI&feature=youtu.beMy Vanishing Gradients Substack - https://hugobowne.substack.com/Building LLM Applications for Data Scientists and Software Engineers https://maven.com/hugo-stefan/building-ai-apps-ds-and-swe-from-first-principles?promoCode=datatalksclubTIMECODES:00:00 Introduction and Expertise04:04 Transition to Freelance Consulting and Advising08:49 Restructuring Teams and Incentivizing AI Adoption12:22 Improving Prompting for Timestamp Generation17:38 Evaluation Sets and Failure Analysis for Reliable Software23:00 Evaluating Prompts: The Cost and Size of Gold Test Sets27:38 Software Tools for Evaluation and Monitoring33:14 Evolution of AI Tools: Proactivity and Embedded Agents40:12 The Future of AI is Not Just Chat44:38 Avoiding Proof of Concept Purgatory: Prioritizing RAG for Business Value50:19 RAG vs. Agents: Complexity and Power Trade-Offs56:21 Recommended Steps for Building Agents59:57 Defining Memory in Multi-Turn ConversationsConnect with HugoTwitter - https://x.com/hugobowneLinkedin - https://www.linkedin.com/in/hugo-bowne-anderson-045939a5/Github - https://github.com/hugobowneWebsite - https://hugobowne.github.io/Connect with DataTalks.Club:Join the community - https://datatalks.club/slack.htmlSubscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQCheck other upcoming events - https://lu.ma/dtc-eventsGitHub: https://github.com/DataTalksClub- LinkedIn - https://www.linkedin.com/company/datatalks-club/ Twitter - https://twitter.com/DataTalksClub - Website - https://datatalks.club/
Robert Hartline is the Founder of Scaling Sober. Adi Klevit is the CEO and Founder of Business Success Consulting Group. Zeke Camusio is the CEO of Data Speaks. Asif Rehmani is the Founder and CEO of VisualSP. Rolando Rosas is the Founder of Global Teck Worldwide Inc. Dr. Kim Tran is the Founder and Doctor of Chiropractic at Minnesota Family Chiropractic. In this episode… Scaling a business while staying sane isn't easy, especially in a world fueled by constant innovation and AI disruption. Entrepreneurs are juggling growth, team management, and personal well-being simultaneously. So how do the most successful leaders harness technology and mindset to achieve balance instead of burnout? Robert Hartline shares how entrepreneurs can stay grounded by identifying emotional triggers, applying EOS systems for structure, and replacing destructive habits with purpose-driven routines. Adi Klevit streamlines chaos through documented processes and focused tools, while Zeke Camusio uses data analytics to reduce uncertainty and guide smart marketing decisions. Asif Rehmani leverages AI to simplify workflows and learning, Rolando Rosas promotes authentic communication and empathy in negotiation, and Dr. Kim Tran emphasizes faith, balance, and daily consistency as the foundation of resilience. Together, they show that success without burnout comes from clarity, connection, and small, consistent actions. In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz is joined by Robert Hartline, Adi Klevit, Zeke Camusio, Asif Rehmani, Rolando Rosas, and Dr. Kim Tran to talk about using AI, systems, and mindset to scale without burning out. They explore how process documentation empowers teams, why AI can become a true business partner, and how mindfulness supports sustainable leadership. They also share their favorite books, podcasts, and tools for growth.
Calico is building an agentic AI system for apparel sourcing and production—automating the "messy middle" of manufacturing that has operated on emails, Excel, and WhatsApp for decades. As a founder who previously built and exited apparel brands, Kathleen Chan experienced the pain firsthand: opening a Shopify store takes minutes, but actually producing inventory requires staying up until 2am managing factory communications. In this episode, she shares how Calico is creating a new category during the 2025 tariff crisis, when sourcing directors are rewriting playbooks that haven't changed in 50 years. Topics Discussed: How Calico functions as an AI co-pilot for sourcing directors and production managers Creating a category when no budget line exists for agentic AI systems Leveraging the 2025 tariff environment as an adoption catalyst Why six months of paid acquisition produced high signups but zero quality customers Sequencing GTM tactics from unscalable one-to-ones to conferences to content Building authenticity in a market saturated with AI slop and generic LinkedIn content Hiring early evangelists who maintain conviction through the startup zigzag GTM Lessons For B2B Founders: Match GTM motion to how your market transacts, not what scales: Calico tested paid acquisition for six months before realizing relationship-building converted better despite being unscalable. In apparel manufacturing, decades-long supplier relationships can't turn on and off overnight—the buying motion reflects this reality. Kathleen's approach: early-stage requires one-to-one dinners and networking to answer nuanced questions; mid-stage shifts to conferences for broader reach; late-stage deploys LinkedIn content once the market understands your category. The sequencing matters because each stage builds on the previous one's trust foundation. Brutally audit customer quality, not conversion metrics: Calico's paid acquisition drove signups and "conversions by marketing sense," creating a false signal of product-market fit. After six months, the math revealed these customers cost more to acquire than those from relationship channels and had lower quality. Kathleen's lesson: vanity metrics provide a "weird little dopamine hit" that masks broken unit economics. For B2B founders in complex sales cycles, track cost-per-quality-customer, not cost-per-signup. Use macro disruption to collapse sales cycles: The 2025 tariff crisis created an "impossible challenge" for Calico's ICP—sourcing directors forced to rewrite playbooks built over decades while tariffs changed via tweet. Rather than fighting the chaos, Calico positioned itself as the solution to this specific moment, anchoring customer conversations on tariff-driven urgency. This transformed education from abstract ("here's what agentic AI can do") to concrete ("here's how we solve your tariff problem today"). B2B founders should identify trigger events that make the status quo untenable. Create category clarity by defining what you're not: In a market where "AI could mean things to many different people," Calico differentiated by explicitly stating what their system cannot do. Kathleen prioritized "dispelling the notions of what we are and what we aren't" over overselling capabilities. This matters because sophisticated buyers—especially in industries with low tech adoption—need to understand boundaries before they'll trust promises. The tactic builds credibility in noisy markets where everyone claims AI magic. Hire evangelists who outlast founder doubt: Calico's most impactful GTM decision was bringing on early team members who could evangelize value through the inevitable "zigzaggy" early stage—when "it's exciting one day and the worst day ever the next." These people interface directly with customers regardless of whether the founder is having doubts or frustrations. Kathleen's insight: in B2B relationship-driven sales, your early GTM hires' conviction directly determines whether customers stick through product evolution. Hire for authentic belief, not just skills. Deprioritize content in high-noise environments: Calico deliberately delays LinkedIn content until later stages because "folks are a little bit more muted to all the LinkedIn content coming at them." With AI making content easier than ever to create, Kathleen sees audiences questioning whether to take it seriously and whether AI-generated content has less value than human-generated. Her approach: authenticity trumps quantity. For B2B founders, this means investing in formats that can't be easily faked (video, in-person) before scaling written content. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM
Connect with Cory:bluemoso.comlinked-agency.com
Are you hiring your first go-to-market team, or looking to scale your B2B SaaS sales organization? In this episode of SaaS Fuel, Jeff Mains sits down with William Spengler, founder of Frederick Fox, to discuss the realities—and pitfalls—of building a high-performing sales team for SaaS startups.Will reveals why most early sales hires fail, how the staffing industry is undergoing disruption, and his blueprint for assembling a scrappy, effective team in a marketplace crowded with resumes and inflated claims. The conversation ranges from the challenges of hiring senior versus raw talent, the tactical necessity of reference checks, the evolving role of AI in recruiting, how to avoid cash crunches even when revenues are up, and why clarity in your hiring process is the foundation of success. If you're ready for a brutally honest, actionable guide to hiring and scaling (without the fluff), this episode is for you.Key Takeaways00:00 Effective Sales Strategy & Hiring04:56 Real Estate-Style Recruiter Model08:51 "Reality Check: Starting a Firm"11:47 Competitor Research for Business Growth15:04 Defining Critical Hiring Needs20:49 Experience Over Elbow Grease22:14 Streamlining Interview Processes28:25 Incentivizing Sales with High Commissions29:57 "Finding High-Performing Sales Talent"36:37 AI Tools in Recruiting: Limitations40:02 The Limits of AI Interviews42:33 Building an Effective GovTech Sales Team45:24 Verifying Sales Candidate References50:14 "AI Systems & Sales Strategies"Tweetable QuotesQuote: "I would say start to target their top salespeople. That's really what recruiters do. We do the research, we cold call, we email them and we sell your value proposition." — William Spengler How to Attract Top Talent: “A player is going to pick up on that confidence and is going to want to join you. If you're going to go, if you're going to talk to Lebron James and you're not confident, they're not going to take you seriously." — William Spengler Viral Topic: The Traits of Top Sales Talent: "I always think that's a red flag when a really good salesperson is paycheck to paycheck, that it's sort of a red flag." — William Spengler "It's not just about hiring someone with a shiny resume or a smooth pitch because they all seem to have that." — Jeff MainsThe Secret to Unstoppable Leadership: "It's not strategy, not charisma. It's not even luck. It's relationships. — Jeff MainsSaaS Leadership LessonsBuild for Clarity, Not Convenience:Ensure all stakeholders align on what the business truly needs from a hire before you start searching for "unicorns."Check the Hype at the Door:Don't just trust claims and shiny resumes. Take the time to verify past performance, especially for sales roles.Know Your Numbers—And Theirs:Ask candidates detailed questions about past targets and results, and verify them. Top performers are always eager to share real numbers.Prioritize Process Discipline:A clear, concise hiring process beats endless rounds every time. Do more work upfront—it pays off with better hires.Scale Operations Before Sales Explode:Investing in back office, accounting, and compliance early prevents massive headaches and cash crunches when you scale rapidly.Bet on Talent That Bets on Themselves:Seek out salespeople willing to trade high base salaries for high upside. These are often the true A-players.Guest...
Send us a textFriday afternoon chaos doesn't actually start on Friday. It starts Monday, when the week is designed in a way that guarantees last-minute emergencies. If your team is piling on questions at 4:47 PM Friday afternoon, it's not because they're disorganized. It's because you've built a system that rewards procrastination and punishes planning ahead.In this episode, I'm showing you how to break that cycle. You'll learn how to use AI and Automation to design a 4-day system that creates calm, clarity, and focus so Friday panic becomes a thing of the past.In this episode, you'll learn:Why your calendar is training your team to procrastinate.The mindset shift that turns you from firefighter to system designer.A simple AI-powered framework that eliminates last-minute scrambles.At a glance:[00:00] – The real reason Friday panic starts on Monday.[01:00] – How your availability trains your team to wait until last minute.[03:00] – The mindset shift: stop being available for chaos, start preventing it.[04:00] – The 4-day AI system: Monday Blueprint, Tuesday Clarity, Wednesday Warnings, Thursday Boundaries.[07:00] – Bottom line: your calendar is your culture—design it like a CEO, not a firefighter.Resources and links mentioned in this episode:10 Ways AI Will Make You a Better Leader – Free GuideWant to increase revenue and impact? Listen to “She's That Founder” for insights on business strategy and female leadership to scale your business. Each episode offers advice on effective communication, team building, and management. Learn to master routines and systems to boost productivity and prevent burnout. Our delegation tips and business consulting will advance your executive leadership skills and presence.
Zac Kennedy went from dabbling with ChatGPT to building a custom AI assistant based on his Campaign Driven Marketing playbook. In this episode, he shares how AI helps his agents 24/7, strengthens client relationships, creates winning video content, and turns simple ideas into powerful, repeatable business systems. Guest: Zac Kennedy https://www.instagram.com/thezackennedy/ https://www.youtube.com/@zackennedy https://www.facebook.com/profile.php?id=61554988092469 Host: Rajeev Sajja Rajeev Sajja on Facebook Rajeev Sajja on Instagram Rajeev Sajja on LinkedIn Rajeev Sajja on YouTube Resources: Agent to AIgent book on Amazon - https://a.co/d/0YxMd2Y Real Estate AI Flash Podcast Site AI Playbook Join the Instagram Real Estate AI Insiders Channel Join the Real Estate AI Academy waitlist Subscribe to the Real Estate AI Flash Newsletter
UL NO. 496: STANDARD EDITION | New Video on Building my Personal AI System, Anthropic Reveals One-person Hacking Company using Claude, Pentagon Says China Keeps Penetrating, and more... Read this episode online: https://newsletter.danielmiessler.com/p/ul-496 Personal AI Video I'm so excited about Subscribe to the newsletter at:https://danielmiessler.com/subscribe Join the UL community at:https://danielmiessler.com/upgrade Follow on X:https://x.com/danielmiessler Follow on LinkedIn:https://www.linkedin.com/in/danielmiesslerBecome a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
If you're a coach, blogger, or online entrepreneur struggling to make consistent income from your digital products, you're not alone. Most creators try to sell one digital product and fail because they're missing a crucial piece of the puzzle: a systematic approach that transforms low-paying customers into high-value clients. In my latest episode of The Blogger Genius Podcast, I revealed the exact AI-powered system that successful creators use to build $10,000+ monthly businesses. This isn't theory—it's the proven strategy that MiloTree users like Sarah have used to grow from 200 email subscribers to $11,000 monthly revenue in just six months. In this post, we'll unpack how to create a digital product ladder, use AI to build your entire system, and leverage MiloTree to handle all the tech without the headache. Show Notes: MiloTree Free Plan Digital Product Ladder AI Prompt (Free Download) 6 Purchasing Triggers Test Join The Blogger Genius Newsletter Become a Blogger Genius Facebook Group Subscribe to the Blogger Genius Podcast: iTunes YouTube Spotify Why Most Digital Product Creators Fail (And How to Avoid Their Mistakes) The biggest mistake creators make is building products they're passionate about instead of solving problems people actually pay to solve. Before you create anything, your digital product idea must pass what I call the “Purchasing Triggers Test.” Your product needs to do at least two of these six things: Make someone money Save them money Save them time Move them toward happiness Move them away from pain Raise their social status If your idea doesn't hit at least two triggers, don't build it. You'll waste months creating something nobody wants to buy. Let's test this with a real example: “Time Management for Busy Moms” ✅ Save them time? Absolutely ✅ Move them toward happiness? Yes (less stress, more family time) ✅ Move them away from pain? Yes (overwhelm and guilt) This passes with flying colors because it hits three triggers. The Digital Product Ladder System That Creates $10K Months Here's what successful creators understand that others don't: instead of selling one product, they build a digital product ladder. This system starts with a free valuable resource and guides customers through increasingly valuable solutions at higher price points. The magic happens when someone who downloads your free guide eventually becomes a $2,000 mastermind member. That's how you reach $10,000 monthly revenue—not by selling a million $10 products. The 6-Step Digital Product Ladder Framework Step 1: Free Valuable Resource (Freebie) Solves one specific problem Delivers a quick, tangible win Gets people on your email list Step 2: Tripwire Product ($7-$27) Small purchase on your thank-you page Naturally follows from the freebie Turns subscribers into buyers Step 3: Product Bundle ($47-$97) Combines multiple resources Provides comprehensive results Higher perceived value Step 4: Mini Course or Coaching Package ($197-$497) Structured learning experience Leads customers toward membership More hands-on support Step 5: Monthly Membership ($27-$97/month) Ongoing support and community Recurring revenue stream Builds long-term relationships Step 6: Premium Mastermind ($997-$2,997) High-touch program For serious implementers Your highest revenue generator The AI Prompt That Builds Your Entire Business Model in 30 Seconds Here's the game-changing AI prompt that creates your complete digital product ladder system. Simply go to ChatGPT (the free version works fine) and enter this prompt with your specific details: “I want to create a complete digital product ladder for [YOUR NICHE/TOPIC]. Help me design a six-step customer journey that transforms a free subscriber into a high-value customer. Step 1: Create a valuable freebie that solves one specific pain point and delivers a quick, tangible win. Step 2: Design a tripwire product that's something small I can sell on the thank-you page after someone joins my list. This product should naturally follow from the freebie and provide deeper value. Step 3: Develop a product bundle that combines multiple resources for comprehensive results. Step 4: Structure a mini course or coaching package that ultimately leads customers into joining my membership. Step 5: Design a monthly membership that provides ongoing support and community. Step 6: Create a premium mastermind or high-touch program for serious implementers. For each step, provide the product concept, main benefits, suggested price, and how it connects to the next level.” How MiloTree Eliminates the Tech Overwhelm The biggest obstacle most creators face isn't knowing what to create—it's the technical setup. How do you actually build all this without getting overwhelmed by complicated tech? This is where MiloTree becomes your secret weapon. You can set up each step of your ladder—from your freebie to your mastermind membership—right inside MiloTree without needing a website or expensive tech tools. Why MiloTree is Perfect for Digital Product Ladders: 1. AI-Powered Sales Pages MiloTree's AI writes your sales pages for you. You use AI to create the products, then use AI to sell them. It's like having a sales team working 24/7 to move customers up your ladder. 2. Hassle-Free Setup Set up products in under 5 minutes No tech skills required AI tools handle the heavy lifting 3. Complete Delivery System MiloTree handles the delivery of your digital downloads directly to your customers. No complicated email sequences or third-party integrations needed. 4. Start for Free With MiloTree's Free Plan, you can: Sell one digital product Offer one freebie Add one social media pop-up to your site 5. With the MiloTree Grow Plan Sell digital products Offer unlimited freebies Grow your email list Build customer relationships Scale with affordable plans Your Action Plan: Start Building Your Digital Product Ladder Today Ready to transform your online business? Here's exactly what to do: Step 1: Test Your Idea Use the six purchasing triggers test. If your idea doesn't hit at least two triggers, pick a different problem to solve. Step 2: Use the AI Prompt Copy the complete digital product ladder AI prompt and run it through ChatGPT with your specific niche details. Step 3: Start with Your Freebie Don't try to build everything at once. Start with step one—your valuable freebie that gets people on your email list. Step 4: Set Up Your Tech Stack Sign up for MiloTree's Free Plan and create your opt-in page. You can have your freebie live and collecting emails within the hour. Step 5: Build Systematically Once your freebie is working, add your tripwire product, then your bundle, and so on. Build your ladder one step at a time. Free Resources to Get You Started
You ever do something 600 times in a row? That's what we're doing today. To celebrate our 600th episode, we're bringing you: 6 AI Myths You Should Stop BelievingX10 AI Systems You Must Learn and X10 AI Trends You Can't Afford to IgnoreNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.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:Six Common AI Myths DebunkedAI as Competitive Advantage MythProductivity Gains from AI ToolsAI Copilot vs Autonomous AI AgentsEmpathy and Creativity in AI ModelsAI Job Creation vs Job LossesHuman in the Loop LimitationsTen Must-Learn AI Systems OverviewChatGPT Usage for Business LeadersGoogle AI Studio and Gemini ApplicationsImportance of Agentic Browsers and CopilotOpen Source AI Model AdoptionAI Video Platform Skill DevelopmentAI Coding Tools for Non-DevelopersEvaluating and Benchmarking AI ModelsTen Key AI Trends for 2025Digital Evidence and AI-Generated ContentThird-Party AI Chat Platform DeclineImpact of AI on Social Media AdsChanging Landscape of Web BrowsingSurge in Open Source AI SolutionsWorld Models as Next AI FrontierRise of AI-Native Consulting FirmsExplainable AI and Agentic TraceabilityAI's Influence on US 2026 ElectionsGenerative AI Impact on Remote WorkTimestamps:00:00 "Mastering AI: Myths, Systems, Trends"04:48 Exclusive AI Insights Offer07:39 AI Tools Misunderstood by Executives12:01 AI: More Empathetic and Creative13:19 "AI's Impact on Full-Time Work"17:51 Partner with Us for AI Training19:28 Essential AI Skills for 2020s22:32 "Google Gemini: Free Powerful AI Model"26:06 Copilot Access and Permissions Training29:20 Evaluating Constantly Evolving AI Models33:24 "Learn AI Coding Tools Now"37:19 "Enterprise AI Survival Prospects"40:48 Open Source's Rise Over Websites44:59 "AI Market: Speed and Accountability"48:20 AI Disrupts Work-from-Home ModelsKeywords:AI myths, generative AI, AI systems, AI trends, AI fact vs fiction, AI competitive advantage, AI productivity, AI tool deployment, Copilot, Microsoft Copilot, ChatGPT, OpenAI, Google Gemini, agentic AI, agentic browsers, AI automation, workplace AI adoption, AI training, AI business strategy, AI model benchmarking, model evaluation, modular AI solutions, Hugging Face, LLM Arena, Google AI Studio, prompt engineering, context engineerSend 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
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