Lead With AI

You know you need a will. You have also found a dozen reasons not to deal with it, which is why seven in ten adults have none. The cost does not land on you. It lands on the people you love, left to untangle frozen accounts and fight over what you never wrote down. Succession Wills was built to end that standoff. It puts an AI in the chair a lawyer would normally sit in, asking the questions you did not know to ask until your will is done. And this is the part where the free AI will tools get wrong. The AI never writes the document. A deterministic engine that David Rosati, a practicing lawyer, approved line by line does that, so nothing in your will is guessed or hallucinated.
In this episode of Lead with AI, Dr. Tamara Nall speaks with David Rosati, Co-Founder & CEO of Succession Wills, about why most estates are simpler than the price of a lawyer suggests, how a toggle lets you switch between a form and a real conversation, why he refused to let AI near the legal drafting, and where Succession Wills goes after the will is signed.
Want to see it? You can build your entire will free at successionwills.com and watch it draft in real time, with the paywall showing up only at the end. Follow the links below to connect with David, reach the Succession Wills team, and subscribe to Lead with AI for more conversations with the people building the future.





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Follow David Rosati (Co-Founder & CEO, Succession Wills)
LinkedIn: @david-rosati | Website: successionwills.com | Instagram: @successionwills | Facebook: Succession Wills | LinkedIn: Succession Wills

Most developers running AI agents today are stuck babysitting them. The agent works in a terminal; the human watches every step, approves every change, and the promised productivity never shows up. Austin Born built Shinzo Labs to break that loop. The platform gives teams secure remote workspaces where agents run in the cloud, take on tasks that last half an hour or more, and message back the results on Slack, Microsoft Teams, or Discord when the work is done. Austin runs six agents in parallel and ships software features at least five times faster than he did working alone.

In this episode of Lead with AI, Dr. Tamara Nall speaks with Austin Born about leaving a five-year blockchain career at the end of 2024 to build at the start of the agent wave, how agents on the platform delegate work to one another, why users should question their agents the same way they would question a coworker, and the guardrails that keep agents honest about the work they claim to finish. Austin also shares his prediction that truly autonomous agents will soon run their own businesses with their own wallets.

Want to try Shinzo for yourself?

The platform is live at shinzo.ai with a free tier, and Austin offers a free 30 minute onboarding consultation. Check out the links below to connect with Austin and subscribe to Lead with AI for more conversations with the founders 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 Austin Born (Founder, Shinzo Labs): LinkedIn: @Austin-Born | Website: shinzo.ai | X: @shinzolabs

Most technology asks people to adapt to it. We hunch over screens and learn the rules of each new device. In the physical world, humans do the reverse. A person walks into a room and instantly knows where the furniture sits, what moved since yesterday, and who has been there. Computers still cannot read a space that way. Kirin Sinha built Illumix to change that. The spatial AI platform lets software understand 3D environments the way people do, localizing a space in under a second at centimeter accuracy, running entirely on the device with no cloud, and powering immersive experiences for global brands after a turn through the Disney Accelerator.
In this episode of Lead with AI, Dr. Tamara Nall speaks with Kirin Sinha about the gap between human and machine spatial understanding, the horror game that proved Illumix felt real when players backed into the corners of their own rooms, and why the company processes every camera frame on the device instead of in the cloud. Kirin also breaks down what mainstream AR glasses will do by 2030 and why she thinks today's AI chatbots will look like the command line in a few years.
Want to see what spatial AI can do for real-world spaces? Learn more at illumix.com. Check out the links below to follow Kirin, connect with the Illumix 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 | Podbean: Lead-with-AI-Podcast | 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 Kirin Sinha (Founder & CEO, Illumix)
LinkedIn: @kirin-sinha | Instagram: @KirinSinha
Illumix: Website: illumix.com | LinkedIn: @illumix

A logistics analyst sends a quick prompt and gets a generic answer back. A founder asks his own AI the same worry twice in different words, and the platform answers both as if they were new questions. The gap is not in the language model. It is in everything that happens before the prompt reaches it. What if every AI tool weighed a user's intent, focus, and emotional state before generating a single word?
In this episode of Lead with AI, Dr. Tamara Nall speaks with Chris Campbell, AI Architect and Workflow Strategist of Nexus Synapse, about the AI tool that stages every prompt before the model sees it. The platform scans for intent, emotional signals, and focus state, then assembles a context kit on the backend so the language model is executing rather than guessing. Chris built the architecture on a manufacturing floor, where he shipped five hundred orders a year and watched warehouse logic translate cleanly into AI orchestration. He walks through the day Nexus caught him mid-spiral, the SQL backend that makes the platform modular, the ethical line between adaptation and attachment, and his thesis that AI in 2030 should be a cognitive partner rather than an obedient assistant.
Tune in to hear how a logistics analyst built an AI that stages every prompt before the model sees it and why calibration matters more than tuning. Want to learn more? Visit Nexus Synapse. For more on Lead with AI, visit leadwithaipodcast.com.
#LeadWithAI #NexusSynapse #AIWorkflow #LogisticsAI #AIArchitecture #ModularAI #PromptStaging #ContextEngineering #AIFounder #WorkflowAutomation #EmotionalAI #AICognition #CognitivePartner #FutureOfWork #AIEthics #BuildersInAI #ArtificialIntelligence #AIDesign
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 | 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
Connect with Chris Campbell & Nexus Synapse
Website: NexusSynapse.app | Twitter/X: @Chriscanadian2 | Email: contact@nexussynapse.app; nexus.synapse.dev@gmail.com

A nurse applies to ten jobs and gets silence. A hospital posts an opening and interviews dry up. The hiring gap isn't about talent. It's about access. Healthcare recruiters have been using the same playbook for 20 years, and meanwhile, a million nurses are projected to be short by 2027. What if every healthcare worker had a partner available at 5 a.m., conducting interviews while they're awake, and every employer could instantly see which candidates fit which roles?
In this episode of Lead with AI, Dr. Tamara Nall speaks with Dr. Iman Abuzeid, MD, Co-Founder and CEO of Incredible Health, about the AI agents re-imagining healthcare careers. Lynn conducts interviews and sells employers. Gail coaches candidates at any hour. Together, they've connected 1.5 million nurses and 1,500 healthcare employers, and 75% of interviews close within 24 hours. Iman walks through the platform's architecture, how it reduces bias in hiring, the regulatory compliance built in, and her thesis that by 2030, every healthcare worker will have an AI agent working on their behalf.
Tune in to hear how specialized AI solves the healthcare labor shortage and what it looks like to keep humans in charge while AI handles the heavy lifting. Want to learn more? Visit Incredible Health. For more on Lead with AI, visit leadwithaipodcast.com.
#LeadWithAI #IncredibleHealth #HealthcareHiring #AIInHealthcare #NurseJobs #HealthcareJobs #FutureOfWork #HealthTech #NursingCareers#HRTech #Recruiting #AIVoiceAgents #HealthcareWorkforce #TechForGood #WorkforceInnovation #ArtificialIntelligence #CareerDevelopment#HealthcareLeadership





Follow or Subscribe to Lead with AI Podcast on your favorite platformsWebsite: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | YouTube: @LeadwithAIPodcast | Facebook: Lead with AI | Instagram: @LeadwithAIpodcast | TikTok: @LeadwithAIpodcast | Twitter (X): @LeadwithAI
Follow Dr. Tamara NallLinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.com
Connect with Dr. Iman Abuzeid & Incredible HealthWebsite: IncredibleHealth.com | LinkedIn: Iman Abuzeid | Twitter (X): @imanabuzeid