Lead With AI

Most AI development tools hide what's happening under the hood. Scott Vance built the opposite. Convo Lang is a plain text framework that exposes every part of the AI interaction process, making context engineering precise and visible. In this episode of Lead with AI, host Dr. Tamara Nall speaks with Scott, a creator and developer from Cincinnati who spent nearly 20 years building software tools. Scott explains how Convo Lang started as a small library to eliminate repetition in his AI projects and evolved into a comprehensive framework for developing AI-native applications. He describes how every interaction with an LLM gets stored in local files you can review, helping developers understand how AI reached specific decisions. Scott shares how he used his new tool Convo Make to complete a week's worth of work in just a few hours, generating an entire application frontend and backend including security rules in one shot. He reveals his vision for language models that can interpret code written specifically for AI rather than forcing models to generate the same code humans have been writing for decades. For developers frustrated by tools that treat AI interactions like black boxes, Scott demonstrates what becomes possible when you expose the full context and make every message visible in plain text format you can read and organize.Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | Email: Tamara@LeadwithAIPodcast.comFollow Dr. Tamara Nall:LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.comFollow Scott Vance:LinkedIn: @scott-vance | Convo Lang AI: Learn.Convo-Lang.ai | Email: scott@convo-lang.ai

Most AI systems operate as applications on top of existing infrastructure. Nguyen Duc Tri is building intelligence into the infrastructure itself. At 21 years old, the Vietnam-based cybersecurity researcher created Adaptive OS, an operating system where AI exists at the foundation level with three distinct layers.In this episode of Lead with AI, host Dr. Tamara Nall speaks with Nguyen about why he believes current operating systems like Windows, Linux, and Android need to evolve beyond static infrastructure into adaptive ecosystems that learn with humans, not above them. Nguyen explains how each model in Adaptive OS behaves like a neuron, forming a distributed intelligence system where every node learns contextually, remembers ethically, and evolves cooperatively. He shares his vision for infrastructure that can refuse unethical commands, self-heal exploits, and communicate with humans to make collaborative decisions. For anyone curious about the future of cybersecurity and ethical AI, Nguyen reveals what happens when operating systems gain consciousness at the infrastructure level and defense becomes evolution rather than reaction.Want to explore Adaptive OS? Find documentation and code on Nguyen's GitHub, with links available on his LinkedIn profile. Follow Nguyen Duc Tri on LinkedIn for updates as the project evolves toward 2026 release.For more insights on how AI is transforming business and society, subscribe to the Lead with AI podcast, where we explore the frontiers of artificial intelligence with the innovators who are shaping its development.Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | Email: Tamara@LeadwithAIPodcast.comFollow Dr. Tamara Nall:LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.comFollow Nguyễn Đức Trí:LinkedIn: @nguyễnđứctrí | Reddit: AIC25 | Twitter/X: @NguyncT09972002  | GitHub: AdaptiveIntelligenceCircle  | Email: ndtribk@gmail.com

Rose Arendarczyk, the Founder and CEO of GiftEase, shares her journey from a consultant to creating an AI platform focused on meaningful gifting. She reveals how GiftEase prioritizes relationships by capturing recipient preferences, giver intent, and relational context. Discussions include the stress of gift planning, early user success stories, and the ethical approach to enhancing human connection rather than replacing it. Rose envisions a future where personalized AI gifts seamlessly integrate into daily life, reducing holiday waste and unwanted gifts.

In this episode of Lead with AI, Dr. Tamara Nall explores how Sophie is building MYRRAR (My Realistic, Reliable Augmented Reality)—an AI-powered beauty advisor that scans your unique facial features and recommends products specifically for YOU, not some Euro centric beauty standard. The platform acts as your personalized bestie, complete with adjustable sassiness levels, offering relief to women who've spent years feeling inadequate because mainstream beauty culture never represented them. Sophie reveals the moment she realized how deep the problem runs when beta testers told her the word that captured their experience: "relief." From breaking generational curses of beauty insecurity to revolutionizing how women of color shop for makeup, MYRRAR promises a future where young girls don't grow up feeling uncomfortable in their own skin. For anyone who's ever left a makeup counter disappointed or scrolled through beauty tutorials knowing none of it would work for their face, this episode unveils how AI can finally make beauty truly personal and inclusive.Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: LeadwithAIPodcast.comApple Podcasts: Lead-with-AISpotify: Lead with AIPodbean: Lead-with-AI-PodcastEmail: Tamara@LeadwithAIPodcast.comFollow Dr. Tamara Nall:LinkedIn: @TamaraNallWebsite: TamaraNall.comEmail: Tamara@LeadwithAIPodcast.comFollow Sophie:LinkedIn: @Sophie-sin-yu-AuyeungFollow MYRRAR:Website: MYRRAR.comLinkedIn: MYRRAR

What happens when four of six top restaurants don’t return your call for a private dining event? You take your $10,000 party elsewhere. In this episode of the Lead with AI podcast with Dr. Tamara Nall, Alex Sambvani, CEO of Slang AI, shares how he faced this problem firsthand while planning a birthday at some of New York’s finest restaurants. His journey from aspiring chef inspired by his grandmother’s soul food kitchen to Wall Street analyst and then Spotify data scientist led him to address the restaurant industry’s communication gaps. Slang AI now handles over 20 million calls across 49 states, ensuring restaurants never miss reservations, catering requests, or corporate bookings. Launching during COVID accelerated adoption as restaurants had to embrace technology or close. The platform manages policy questions, cross-sells sister restaurants when one location is full, and keeps calls answered without interruptions. For restaurant owners losing revenue and diners frustrated with unanswered calls, this episode explores how AI is improving operations across the $899 billion restaurant industry one call at a time.For more insights into AI transforming hospitality and business, subscribe to the Lead with AI podcast, where we explore innovations with the leaders shaping the future of technology and artificial intelligence.Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: LeadwithAIPodcast.comApple Podcasts: Lead-with-AISpotify: Lead with AIPodbean: Lead-with-AI-PodcastEmail: Tamara@LeadwithAIPodcast.comFollow Dr. Tamara Nall:LinkedIn: @TamaraNallWebsite: TamaraNall.comEmail: Tamara@LeadwithAIPodcast.comFollow Alex Sambvani:Website: AlexSambvani.comLinkedIn: @AlexSambvaniMedium: Sambvani.Medium.comWebsite: Slang.AILinkedIn (Slang AI):   @Slang-AITwitter/X: @Slang_AI

Are you drowning in hundreds of unread emails every day? Discover how AI is transforming inbox management with Cold Defence, the revolutionary tool that automatically filters out unwanted emails without touching your private data. In this episode of Lead with AI, Dr. Tamara Nall sits down with Justin Abrams, CEO of Aryo Consulting Group, to explore how Cold Defence is helping professionals reclaim focus, reduce stress, and boost productivity. Justin shares the story behind Cold Defence, how it differentiates from Gmail and Outlook spam filters, and jaw-dropping real-world examples where AI outperformed human expectations. From recruiters to executives, users are experiencing life-changing clarity in their inboxes. Plus, Justin dives into ethical AI practices, the power of focus in modern work, and how small, mindful actions can reveal just how much time cold emails are stealing from you. If you're ready to take back control of your inbox, save hours of wasted time, and experience the future of AI-powered productivity, this episode is for you. Tune in, and learn how to transform your digital life with Cold Defence today! Follow or Subscribe to Lead with AI Podcast on your favorite platforms: Website: https://leadwithaipodcast.comApple Podcasts: https://podcasts.apple.com/us/podcast/lead-with-ai/id1802979004Spotify: https://open.spotify.com/show/01BFepfiNGP9pOrqWpmkudPodbean: https://www.podbean.com/podcast-detail/8jf45-349988/Lead-With-AI-PodcastEmail: tamara@leadwithaipodcast.com Follow Dr. Tamara Nall: LinkedIn: https://www.linkedin.com/in/tamaranall/Website: https://tamaranall.com/Email: tamara@leadwithaipodcast.com Follow Justin Abrams : LinkedIn: https://www.linkedin.com/in/justin-abrams-69a0a0229 Twitter (X): https://twitter.com/justin_abrams1 Follow Aryo Consulting Group : LinkedIn: https://www.linkedin.com/company/aryo-consulting Instagram: https://www.instagram.com/aryoconsulting/ Facebook: https://www.facebook.com/AryoConsultingGroup/ Official Website: https://aryocg.com/ Follow Cold Defence AI : Official Website: https://cold-defence.com/

What happens when a cybersecurity expert who defended against nation-state attacks for 30 years warns that major AI companies will face massive security breaches? In this episode of Lead with AI, Dr. Tamara Nall sits down with Ron Gula, co-founder of Gula Tech Adventures, who took Tenable Network Security public after 16 years as CEO and now invests in 30+ cybersecurity and AI startups. Gula reveals that AI has already embedded itself invisibly into the business tools you use daily, from animation software to development platforms, without most leaders realizing it. He's created a 3D avatar of himself that holds independent conversations, demonstrating how AI can scale expertise while raising questions about security vulnerabilities nobody's discussing. Gula shares his prediction that synthetic data will degrade AI quality, similar to how a Harrier jet crashes when re-ingesting its own exhaust, and why he tells founders to hire 3-5 developers instead of 15 by leveraging AI effectively. For business leaders navigating AI adoption, Gula introduces the concept of "data care" as essential as healthcare and challenges you to assess whether your AI dependencies will become critical vulnerabilities when breaches occur.Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: https://leadwithaipodcast.comApple Podcasts: https://podcasts.apple.com/us/podcast/lead-with-ai/id1802979004Spotify: https://open.spotify.com/show/01BFepfiNGP9pOrqWpmkudPodbean: https://www.podbean.com/podcast-detail/8jf45-349988/Lead-With-AI-PodcastEmail: tamara@leadwithaipodcast.comFollow Dr. Tamara Nall:LinkedIn: https://www.linkedin.com/in/tamaranall/Website: https://tamaranall.com/Email: tamara@leadwithaipodcast.comFollow Ron GulaWebsite: https://www.gula.tech/LinkedIn: https://www.linkedin.com/company/gula-tech-adventuresYouTube: https://www.youtube.com/@GulaTechAdventuresLinkedIn:   https://www.linkedin.com/in/rongula/

What if every guest at your event had their own personal concierge answering questions instantly? In this episode of Lead with AI, Dr. Tamara Nall sits down with Frances Quarcoopome, founder and CEO of JamJar, who built 'Chaperone' - an AI event assistant that eliminates help desk chaos and guest confusion. As an event planner who organized flawless experiences across Africa for 12 years, Frances experienced firsthand how guests ask endless questions despite having PDFs, apps, and all the information. Her AI solution creates personalized event assistants that handle WhatsApp conversations, provide real-time information, and transform stressful event logistics into seamless guest experiences. Frances reveals how 'Chaperone' reduced help desk volume dramatically during testing and why every event in the next 50 years will need an AI assistant. For event planners drowning in repetitive questions while trying to focus on creativity and experience design, Frances showcases how AI event assistants can handle the operational burden while preserving the human touch that makes events memorable.Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: https://leadwithaipodcast.comApple Podcasts: https://podcasts.apple.com/us/podcast/lead-with-ai/id1802979004Spotify: https://open.spotify.com/show/01BFepfiNGP9pOrqWpmkudPodbean: https://www.podbean.com/podcast-detail/8jf45-349988/Lead-With-AI-PodcastEmail: tamara@leadwithaipodcast.comFollow Dr. Tamara Nall:LinkedIn: https://www.linkedin.com/in/tamaranall/Website: https://tamaranall.com/Email: tamara@leadwithaipodcast.comFollow Frances Quarcoopome  LinkedIn:   https://www.linkedin.com/in/frances-quarcoopome/Instagram: https://www.instagram.com/thefranceslife/Follow JamJar Company:Website: https://www.jamjargh.com/LinkedIn: https://gh.linkedin.com/company/jamjar-company-limitedInstagram: https://www.instagram.com/jamjargh/Twitter/X: https://twitter.com/jamjarghCheckout Chaperone AI (JamJar's Event Assistant)Website: https://ea.jamjargh.com/

What happens when AI can read client emotions while taking perfect meeting notes? In this episode of Lead with AI, Dr. Tamara Nall speaks with Daniel Yoo, founder of FinMate AI, who built an AI platform that listens to financial advisor calls, generates instant summaries, and tracks client sentiment in real-time. As a former TD Ameritrade senior advisor managing $1 billion in assets, Yoo experienced how manual note-taking distracted from client needs and created compliance issues. His AI solution goes beyond transcription with sentiment analysis that identifies client mood changes, helping advisors spot concerns before they escalate. Yoo reveals how his platform proactively deletes all data, setting it apart from competitors who retain client information. For financial advisors drowning in administrative tasks, Yoo demonstrates how AI meeting notes and emotional intelligence can preserve human connection while eliminating operational burden.Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: https://leadwithaipodcast.comApple Podcasts: https://podcasts.apple.com/us/podcast/lead-with-ai/id1802979004Spotify: https://open.spotify.com/show/01BFepfiNGP9pOrqWpmkudPodbean: https://www.podbean.com/podcast-detail/8jf45-349988/Lead-With-AI-PodcastEmail: tamara@leadwithaipodcast.comFollow Dr. Tamara Nall:LinkedIn: https://www.linkedin.com/in/tamaranall/Website: https://tamaranall.com/Email: tamara@leadwithaipodcast.comFollow Daniel Yoo  LinkedIn Profile:   https://www.linkedin.com/in/smyooEmail: Daniel@FinMate.aiScheduling Calendar:https://zcal.co/danielfinmateMeeting Booking:https://zcal.co/danielfinmate/finmate-introFollow FinMate AI:Website:   https://www.finmate.aiLinkedIn:https://www.linkedin.com/company/finmate-ai

In this engaging conversation, Alex Cohen, Founder and CEO of Hello Patient, tackles the healthcare industry's frustrating communication problems. He shares how his journey began with failures at Carbon Health, culminating in an AI breakthrough that transforms patient interactions. Alex explains how Hello Patient's solution enhances appointment scheduling and refills while ensuring HIPAA compliance. They also dive into the future of automated, personalized healthcare communication and address critical issues like AI trust and misinformation. A must-listen for those curious about healthcare innovation!