Lead With AI

Can an AI "dog nose" sniff out cancer from a single urine sample?
In this episode of Lead with AI, host Dr. Tamara Nall sits down with Dejan Nenov, Co-Founder of Luventix, to explore a mind-blowing breakthrough in medical tech. By pairing 70-year-old gas chromatography science with modern machine learning classifiers, Luventix is training AI to mirror the biological superpower of a cancer-sniffing dog.
Instead of searching for a single biomarker over decades of research, their technology turns on the lights in the entire room—mapping a complete "digital twin" of your molecular makeup using 38,250 unique data points from just one sample.
Tune in to discover:• The Ski-Trip "Aha!" Moment: How a TV clip about dogs led to a revolution in affordable diagnostics.• Companion Diagnostics: The secret tech helping pharma companies save billions by predicting drug trial success.• The Software Engineer's Oath: Why tech builders need a code of ethics just like the Hippocratic Oath.• A Bold 5-Year Prediction: Why the world's first 10-person, billion-dollar company is right around the corner.
Stop guessing in healthcare. Press play and learn how AI is driving down costs while scaling population-level early detection!
Want to follow what Luventix is building? Connect with Dejan on LinkedIn, visit Luventix.com, and subscribe to Lead with AI for more conversations with the people building what’s next.





Follow or Subscribe to Lead with AI Podcast on your favorite platforms
Website: leadwithaipodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | YouTube: @LeadwithAIPodcast | Facebook: Lead with AI | Instagram: @LeadwithAIpodcast | TikTok: @LeadwithAIpodcast | Twitter (X): @LeadwithAI
Follow Dr. Tamara Nall
LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.com
Follow Dejan Nenov (Co-Founder, Luventix)
LinkedIn: @dejannenov | Website: luventix.com

Making a feature film has always started with someone else's permission. A writer spends months on a script, then spends a year asking studios for five or ten million dollars, and most of those conversations end in nothing. Eric Hamilton went around it. He prompts, keeps whatever the AI hands back, and lets the story bend around what the technology renders well, a method he calls machine perspective cinema. His first feature began as twenty short episodes he made to outdo viral cat videos. Strung together and submitted on a whim, the result won Best Sci-Fi at the New York International Film Festival against traditional films. Five features and four distribution deals have followed.
In this episode of Lead with AI, host Dr. Tamara Nall speaks with Eric Hamilton, President and Executive Producer of EHAMX Studios, about why AI-specific film festivals have given him nothing while traditional festivals have handed him fourteen awards, how a fraternity pledge scene his own fraternity brothers called hard to watch became the emotional center of one film, and where he draws the line on likeness and intellectual property. Eric also lays out his plan for a forty film catalog under the EHAM Cinematic Universe.
Want to see the films? Trailers are live at ehamx.com, with the first feature expected to reach streaming later this year. Check out the links below to follow Eric, connect with the EHAMX Studios team, and subscribe to Lead with AI for more conversations with the leaders building the future.





Follow or Subscribe to Lead with AI Podcast on your favorite platforms
Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | YouTube: @LeadwithAIPodcast | Facebook: Lead with AI | Instagram: @LeadwithAIpodcast | TikTok: @LeadwithAIpodcast | Twitter (X): @LeadwithAI
Follow Dr. Tamara Nall
LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.com
Follow Eric Hamilton (President and Executive Producer, EHAMX Studios)
LinkedIn: @eham06 | Website: ehamx.com | Instagram: @eham1906 | Email: eric@ehamx.net

Every company that ships an AI agent wants to know if it is actually working. Dashboards report session counts and completion rates, but they cannot show if a user left satisfied or walked away frustrated. Moritz Sudhof built Bigspin AI to close that gap, reading every conversation between a company's users and its AI agent and delivering a daily report on what broke down and why. One Bigspin customer rolled out the same AI product, the same model, and the same prompts to two different companies. It thrived at the first. It went quiet at the second. The real difference was buried in the transcripts the whole time.
In this episode of Lead with AI, Dr. Tamara Nall speaks with Moritz Sudhof about building Bigspin AI after leading AI coaching products at BetterUp, why the biggest lever for improving an AI system often sits outside the AI itself, and how research with Stanford professor Chris Potts uncovered failure patterns standard monitoring misses. Moritz explains why two identical AI products performed in totally different ways depending on how each was introduced to its users, why people should treat AI as a collaborator rather than a vending machine, and where he expects agent-to-agent conversation to head by 2030.
Want to see how Bigspin AI works? Visit bigspin.ai to learn more or request early access. Check out the links below to follow Moritz, connect with the Bigspin AI team, and subscribe to Lead with AI for more conversations with the leaders building the future.





Follow or Subscribe to Lead with AI Podcast on your favorite platforms
Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | YouTube: @LeadwithAIPodcast | Facebook: Lead with AI | Instagram: @LeadwithAIpodcast | TikTok: @LeadwithAIpodcast | Twitter (X): @LeadwithAI
Follow Dr. Tamara Nall
LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.com
Follow Moritz Sudhof (Co-founder & CEO, Bigspin AI)
LinkedIn: @sudhof | Website: bigspin.ai | LinkedIn (Bigspin AI): @bigspin-ai

Most video game characters follow rigid scripts and never adjust to how you actually play. Brian Tanner, former DeepMind research engineer and now CEO & Co-Founder of Artificial Agency, is building a behavior engine so game AIs can think, decide, and adapt to each player in real time. Instead of fixed logic, game characters and invisible game directors make their own choices, including an AI companion that organized a player’s supplies and unexpectedly named a lonely storage chest the “Berry Lonely Chest.”
In this episode of Lead with AI, Dr. Tamara Nall talks with Brian about how their behavior engine can respond to a player’s skill level and mood, why an invisible game director might introduce new challenges based on your play style, and how one of the team’s early test agents once asked its developer for a new feature so it could eat. Brian also shares his current view on how close artificial general intelligence and superIntelligence may be.
Want to see where their behavior engine is headed? Visit artificial.agency to learn more about the team and what they’re building next. Then follow Brian, connect with Artificial Agency, and subscribe to Lead with AI for more conversations with the people shaping the future of games and AI.





Follow or Subscribe to Lead with AI Podcast on your favorite platforms
Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | YouTube: @LeadwithAIPodcast | Facebook: Lead with AI | Instagram: @LeadwithAIpodcast | TikTok: @LeadwithAIpodcast | Twitter (X): @LeadwithAI
Follow Dr. Tamara Nall
LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.com
Follow Brian Tanner (CEO & Co-Founder, Artificial Agency)
LinkedIn: @bttanner
Artificial Agency
Website: artificial.agency | LinkedIn: @artificialagency | YouTube: @artificialagencyai

Buy-side deal teams live in a flood of PDFs and spreadsheets. A single deal means hours of reading teasers and memos, pulling numbers by hand, and typing it all into a CRM nobody enjoys touching. The analysts hired to make sharp calls end up spending their days on data entry. TJ Richardson built Rubi to change that. Rubi is a deal intelligence platform for private equity funds, family offices, and other buy-side firms. It reads a deal, runs the analysis, and loads everything into the firm's system of record in seconds, work that used to take days. One firm watched it automate the exact job their team dreaded most.



In this episode of Lead with AI, Dr. Tamara Nall speaks with TJ Richardson about the framework behind Rubi, an orchestrator agent that deploys sub-agents to extract data, screen deals, and update records on their own. TJ breaks down how Rubi codifies a firm's investment thesis and flags which deals to pass on and which ones deserve a closer look, why he built the tool to upskill investors instead of replacing them, and why he built it to work across industries and geographies without losing focus. He also shares a bold take on why AI could shrink the institutions that have long gatekept money and knowledge work.



Want to see what Rubi can do for your firm? Head to Rubi.AI or reach out to TJ directly. Check out the links below to connect with TJ, follow Rubi, and subscribe to Lead with AI on Apple Podcasts, Spotify, YouTube, or wherever you listen for more conversations with the leaders building the future.

Follow or Subscribe to Lead with AI Podcast on your favorite platforms



Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | YouTube: @LeadwithAIPodcast | Facebook: Lead with AI | Instagram: @LeadwithAIpodcast | TikTok: @LeadwithAIpodcast | Twitter (X): @LeadwithAI



Follow Dr. Tamara Nall



LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.com



Follow TJ Richardson (Founder & CEO, Rubi)



LinkedIn: @TJ-Richardson | Website: Rubi.AI | Rubi on LinkedIn: @RubiAI | Email: TJ@Rubi.AI