Most people scroll past an opinion they disagree with instead of saying so. Kiko Zang, CEO and Co-Founder of Chomp, built a daily question game to capture what people think. Players answer honestly, guess how everyone else answered, and then compare results. One early question asked players to rate "I love you" in month one of dating as a green flag or a red flag. 92.7% privately picked a green flag, while most guessed only half the room would agree.

In this episode of Lead with AI, Dr. Tamara Nall speaks with Kiko about the gap between what people post and what they privately believe, how Chomp's format measures it, and why she sees the data as a resource for AI models learning human judgment. She also explains why she rebuilt Chomp for a mainstream audience after starting on crypto.

Want to try it? Search Chomp on the App Store or join the waitlist at Chomp.fyi. Check the links below to follow Kiko Zang and subscribe to Lead with AI.

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A family finds rats in their apartment and needs a new unit fast. A school district changes, and a household has to relocate. These requests used to sit in a queue for weeks or months while a housing authority worked through the math by hand. Bejoy Narayana built Bob.AI to close that gap, helping families get a voucher issued and matched to a new home in hours and days instead.

In this episode of Lead with AI, Dr. Tamara Nall speaks with Bejoy Narayana, Founder, CEO, and Product Architect of Bob.AI, about how the platform reads pay stubs and award letters to calculate housing assistance, keeps public housing authorities audit ready, and frees case managers to spend more time with families.

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Executives are buried in email, meetings, and messages that pile up faster than anyone can sort them, and most teams cannot tell which ones actually matter. CEO & Co-Founder, Matt Francis built Herd AI, Inc to fix that, an AI platform that reads all of it and ranks it against a company's real objectives. One executive stopped working past seven at night and started finishing his most important work by early afternoon.

In this episode of Lead with AI, Dr. Tamara Nall speaks with Matt Francis about how Herd AI, Inc decides what deserves attention, why the platform turns its own AI scoring on and off to control cost, and how leadership teams cut through thousands of daily emails, meetings, and messages without adding new tools.

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Understaffed teams end up cleaning floors, answering phones, and covering shifts built for two people. Albert Saunders Jr. saw it at a gas station with one exhausted employee doing four jobs at once, and built Neil AI Global Solutions to fix it. The company now runs 38 robots: cleaning machines, delivery robots that move up to 1,200 pounds, and AI voice agents answering phones around the clock. One warehouse needed 300,000 square feet swept daily. One robot has handled it ever since.

In this episode of Lead with AI, Dr. Tamara Nall speaks with Albert Saunders Jr. about the RaaS model that prices a robot as a weekly labor cost, the faith and family values guiding Neil AI, and its recognition as North Carolina's first Black-owned AI and robotics company. Albert also shares his boldest prediction for Neil AI by 2030.

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Most sleep trackers count hours. Jonathan "JB" Berent set out to measure something else: slow waves, the deep brain activity that actually restores the body overnight. He built NextSense, a pair of EEG-sensing earbuds that read brainwaves and use targeted sound to help extend that restorative stage of sleep. One early user, a menopausal investor who could barely sleep two hours at a stretch, became one of NextSense's first backers after weeks of real relief. Another user liked the earbuds enough to pass them along to his boss, the CEO of one of the world's largest consulting firms.

In this episode of Lead with AI, Dr. Tamara Nall speaks with JB Berent about the research project at Google's moonshot factory that became NextSense, how the earbuds translate raw brain signals into something the AI can act on, and why he built the company to run its algorithms locally instead of in the cloud. JB also shares his boldest prediction about AI and consciousness, and what he thinks brain-sensing wearables could look like a decade from now.

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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!

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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.

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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.

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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.

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Artificial Agency

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.

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LinkedIn: @TJ-Richardson | Website: Rubi.AI | Rubi on LinkedIn: @RubiAI | Email: [email protected]