In this episode of Let’s Talk AI, Max Berthelot takes us into the heart of his founder journey. It is one that spans B2B SaaS, Y Combinator’s high-pressure halls, and now the health-tech frontier with Lucis. What starts as a leap from a stable career becomes a story about obsession, discipline, and the uncomfortable truths behind real startup growth. Max shares the moment he realized community was the key to expansion. He talks about the nights spent rethinking distribution, the emotional rollercoaster of working with both technical and non-technical co-founders, and the mindset that transformed Lucis from an idea into a fast-emerging longevity platform. This is a story of a founder recounting the lessons that scarred him, shaped him, and ultimately strengthened his ability to scale a startup in one of the toughest markets. If you want startup growth lessons that go beyond clichés, this is the episode to hear. Top Takeaways: Max is the founder of Lucis, focusing on health and longevity. Building a community around health can drive engagement and growth. Distribution should be prioritized from day one in product development. It's important to start with an idea and iterate rather than waiting for perfection. Y Combinator provided invaluable lessons and a life-changing experience for Max and his co-founders. Relentlessness is key to building a successful startup. Continuous learning is essential for founders as they navigate different stages of growth. The mission of Lucis is to make preventative health accessible in Europe. Max's personal experience with health data drives the mission of Lucis Connect with Max Berthelot Max Berthelot on LinkedIn (https://www.linkedin.com/in/maximeberthelot/) - https://www.linkedin.com/in/maximeberthelot/ (https://www.linkedin.com/in/maximeberthelot/) Instagram: @lucislife_en    Connect with Thomas Bustos Thomas Bustos on LinkedIn (https://www.linkedin.com/in/thomasbustos/) - https://www.linkedin.com/in/thomasbustos/ (https://www.linkedin.com/in/thomasbustos/)  Let’s Talk AI (https://thomasbustos.substack.com/) - https://thomasbustos.substack.com/ (https://thomasbustos.substack.com/)  Let’s Talk AI on YouTube (https://www.youtube.com/@lets-talk-ai) - https://www.youtube.com/@lets-talk-ai (https://www.youtube.com/@lets-talk-ai)  Let’s Talk AI on Spotify (https://open.spotify.com/show/6mVjFvdEkZDCTXpIuuSLAP) - https://open.spotify.com/show/6mVjFvdEkZDCTXpIuuSLAP (https://open.spotify.com/show/6mVjFvdEkZDCTXpIuuSLAP) Hosted on Ausha. See ausha.co/privacy-policy for more information.

The IDE has always been the developer’s command center. But as AI systems mature, the IDE is becoming something far more sophisticated — a hybrid of automation, intelligence, and adaptability. In this episode, Thomas Bustos and Richard Wang (Clad Labs) (https://www.cladlabs.ai/) dissect the architectural and strategic implications of building AI-powered IDEs. They discuss how real-time feedback loops, adaptive code assistance, and contextual learning models are reshaping both the developer experience and the business of software. This is a must-listen for engineers, founders, and product builders who want to understand the competitive edge behind AI-driven development tools, and why IDE innovation is the next major battleground for developer productivity. Top Insights: AI is revolutionizing the coding process for developers. Integrating ads into IDEs can subsidize development costs. User feedback is crucial for product iteration and improvement. The future of coding involves AI-native tools that enhance productivity. Democratizing access to AI tools is essential for global developers. Speed of development should focus on user-centric design. Understanding user workflows is key to building effective tools. The competitive landscape of IDEs is evolving with new approaches. Maintaining a balance between speed and quality is vital in development. The mission is to unlock coding opportunities for everyone. Connect with Richard Wang Richard Wang on LinkedIn (https://www.linkedin.com/in/richard-wang-39554994/) - https://www.linkedin.com/in/richard-wang-39554994/ (https://www.linkedin.com/in/richard-wang-39554994/) Clad Labs AI (https://www.cladlabs.ai/) - https://www.cladlabs.ai/ (https://www.cladlabs.ai/)  Connect with Thomas Bustos Thomas Bustos on LinkedIn (https://www.linkedin.com/in/thomasbustos/) - https://www.linkedin.com/in/thomasbustos/ (https://www.linkedin.com/in/thomasbustos/)  Let’s Talk AI (https://thomasbustos.substack.com/) - https://thomasbustos.substack.com/ (https://thomasbustos.substack.com/)  Let’s Talk AI on YouTube (https://www.youtube.com/@lets-talk-ai) - https://www.youtube.com/@lets-talk-ai (https://www.youtube.com/@lets-talk-ai)  Let’s Talk AI on Spotify (https://open.spotify.com/show/6mVjFvdEkZDCTXpIuuSLAP) - https://open.spotify.com/show/6mVjFvdEkZDCTXpIuuSLAP (https://open.spotify.com/show/6mVjFvdEkZDCTXpIuuSLAP) Hosted on Ausha. See ausha.co/privacy-policy for more information.

We often hear stories about engineers leaving Big Tech to chase their startup dreams, but few break down what really happens after the leap. In this episode, Anmol Sood, former Meta engineer and now founder of Alai, opens up about his journey from writing production-grade code to creating a startup that helps people build high-quality presentations in minutes. He shares how speed and quality constantly compete for attention in early-stage product development, why co-founder dynamics can make or break momentum, and the ultimate secret to building products that users love. For anyone navigating the startup ecosystem, Anmol’s story offers a grounded view of what it means to build, iterate, and keep your vision alive amid uncertainty. 🎧 Listen to the full episode and discover how startup success is built one decision at a time. Top Insights: Anmol emphasizes the importance of working on problems that matter to you. Building skills is not just about technical ability but also about caring for the problem. Transitioning from a large company to a startup requires unlearning certain practices. Identifying a clear target audience is crucial for product success. Finding early partners can provide valuable feedback and insights. Intuition plays a key role in product development, especially pre-product market fit. Understanding customer incentives is essential for effective partnerships. Design quality is a significant differentiator in presentation tools. Balancing speed and quality is vital in the development process. Strong co-founder relationships are foundational to startup success. Connect with Anmol Sood Anmol Sood on LinkedIn (https://www.linkedin.com/in/anmolsood/) - https://www.linkedin.com/in/anmolsood/ (https://www.linkedin.com/in/anmolsood/) Anmol Sood on X (https://x.com/anmolsood21) - https://x.com/anmolsood21 (https://x.com/anmolsood21)  Alai (https://getalai.com/) - https://getalai.com/ (https://getalai.com/) Hosted on Ausha. See ausha.co/privacy-policy for more information.

When artificial intelligence meets robotics, something remarkable happens: machines stop just following instructions and start understanding purpose. In this episode of Let’s Talk AI, Thomas Bustos sits down with Remi Fabre, a robotics engineer whose work bridges the gap between software intelligence and physical motion. Together, they unpack what it takes to design robots that don’t just move, but adapt, learn, and connect with the world around them. From the elegance of inverse kinematics to the power of open-source collaboration, Rémi shares how robotics has evolved from mechanical systems into intelligent ecosystems. They also explore the emotional dimension of robotics and why people form bonds with machines, and how AI is amplifying that connection. If you’ve ever wondered how intelligence takes shape in the real world, this episode reveals what’s next at the intersection of AI and robotics, where the digital brain meets the physical body. Top Insights: It's important for the human brain to do stuff that is hard. Open source has perks from the marketing side. You need to be comfortable with failure and iteration. The key word of robotics is robust. AI has access only to the high-level decision for now. I think it's fine that the robot has a personality. You can create a new language for movement. The future of robotics is incredibly exciting. You should always try to improve on what you're doing. Connect with Remi Fabre Remi Fabre on LinkedIn (https://fr.linkedin.com/in/remifabre) - https://fr.linkedin.com/in/remifabre (https://fr.linkedin.com/in/remifabre) Remi Fabre on YouTube (https://www.youtube.com/channel/UCDuIkx0YEzUMgzpVUu3aatw) - https://www.youtube.com/channel/UCDuIkx0YEzUMgzpVUu3aatw (https://www.youtube.com/channel/UCDuIkx0YEzUMgzpVUu3aatw)  Remi Fabre on X (https://x.com/RemiFabreRobot) - https://x.com/RemiFabreRobot (https://x.com/RemiFabreRobot) Hosted on Ausha. See ausha.co/privacy-policy for more information.

Behind every breakthrough is a builder with a playbook - one that’s forged through trial, mentorship, and iteration. In this episode, Thomas Bustos dissects the AI Engineer Playbook, a systems-level look at how great builders think, learn, and execute. He unpacks how to design your own playbook, why copying others will never scale, and how the future belongs to engineers who combine speed, control, and empathy for users. You’ll walk away challenged to rethink your process, reconnect with your community, and commit to growth that’s as intentional as it is technical. Listen to this solo deep dive into what it truly takes to create, learn, and lead as an AI engineer. Top Insights: Understand the value of solving problems and time saved. Minimize human involvement in engineering processes. Focus on user experience to solve the right problems. Building is a long-term game requiring curiosity and iteration. Define your unique playbook based on personal interests. Speed and control are essential in engineering excellence. Engage with communities and share your work publicly. Mentorship is crucial for growth and direction. Iterate on your goals weekly for continuous improvement. Be curious and explore new tools and technologies. Connect with Thomas Bustos Thomas Bustos on LinkedIn - https://www.linkedin.com/in/thomasbustos/ Let’s Talk AI - https://thomasbustos.substack.com/ Let’s Talk AI on YouTube - https://www.youtube.com/@lets-talk-ai Let’s Talk AI on Spotify - https://open.spotify.com/show/6mVjFvdEkZDCTXpIuuSLAP Hosted on Ausha. See ausha.co/privacy-policy for more information.

The path from zero to one is an equation that involves technology, psychology, and culture.  Adam Haney of Infinity Constellation breaks down how modern teams can achieve product-market fit while preserving a human-centric mindset. The discussion examines the convergence of AI tools, leadership communication, and strategic hiring, offering a lens into how effective collaboration fuels innovation.  It’s a grounded conversation on what tech leadership looks like in 2025 and beyond. Top Insights: Technology must harmonize with human-centric services. The zero to one phase is crucial for startups. AI tools are changing the landscape of product development. Unified vision enhances team velocity and effectiveness. Building relationships between tech and operations is vital. Iterative frameworks help in strategic planning. Experience teaches the importance of adaptability in leadership. The best AI services businesses need to be tightly coupled with operations. Hands-on experience in engineering fosters a well-rounded skill set. AI services are becoming viable for hyperscale companies. Understanding customer needs is essential for service success. Intuition and data should reinforce each other in decision-making. Surrounding yourself with ambitious people raises your own standards. Connect with Adam Haney Adam Haney on LinkedIn (https://www.linkedin.com/in/adamjhaney/) - https://www.linkedin.com/in/adamjhaney/ (https://www.linkedin.com/in/adamjhaney/)  Infinity Constellation (https://www.infinityconstellation.com/) - https://www.infinityconstellation.com/ (https://www.infinityconstellation.com/)  Open Story Podcast (https://openstorypodcast.com/) - https://openstorypodcast.com/ (https://openstorypodcast.com/)  Connect with Thomas Bustos Thomas Bustos on LinkedIn (https://www.linkedin.com/in/thomasbustos/) - https://www.linkedin.com/in/thomasbustos/ (https://www.linkedin.com/in/thomasbustos/)  Let’s Talk AI (https://thomasbustos.substack.com/) - https://thomasbustos.substack.com/ (https://thomasbustos.substack.com/)  Let’s Talk AI on YouTube (https://www.youtube.com/@lets-talk-ai) - https://www.youtube.com/@lets-talk-ai (https://www.youtube.com/@lets-talk-ai)  Let’s Talk AI on Spotify (https://open.spotify.com/show/6mVjFvdEkZDCTXpIuuSLAP) - https://open.spotify.com/show/6mVjFvdEkZDCTXpIuuSLAP (https://open.spotify.com/show/6mVjFvdEkZDCTXpIuuSLAP) Hosted on Ausha. See ausha.co/privacy-policy for more information.

Everyone says podcasting is already saturated, but Kevin Smith would disagree.  While most platforms focus on distribution, he’s betting on AI as the core experience. As co-founder of Snipd, Kevin argues that the future of podcasting isn’t about more shows, but about smarter listening: capturing key ideas, surfacing highlights, and creating shareable knowledge from endless hours of audio.  In this conversation, Thomas Bustos pushes on the big questions: is AI enhancing the podcast experience, or is it reshaping it entirely? What happens when AI curates your takeaways better than you can?  For anyone who thinks AI is just a background tool, this episode is a wake-up call. The podcast player itself is becoming intelligent. Top Insights: Decide what to focus on and forget everything else. Podcasts are the largest knowledge library in the world. You have to be relentlessly resourceful as a founder. Talk to people to understand their problems before building. Give it to five people, and you'll see the problems immediately. Snipd is a fully fledged podcast player with unique features. Put small building blocks on top of each other for success. The world needs more entrepreneurial energy and spirit. AI is changing how we interact with audio content. Exclusive Listener Offer! One month free premium access on Snipd (https://link.snipd.com/Cx7S/thomas) - https://link.snipd.com/Cx7S/thomas  Connect with Kevin Smith Kevin Smith on LinkedIn (https://ch.linkedin.com/in/kevin-smith-673714b4) - https://ch.linkedin.com/in/kevin-smith-673714b4  Snipd (https://www.snipd.com/) - https://www.snipd.com/ Hosted on Ausha. See ausha.co/privacy-policy for more information.

The conversation around AI engineering is shifting, and Alessandro Romano is at the center of it. In this episode of Let’s Talk AI, we explore why the future of AI is no longer just about tools. It’s now about people who can think critically, solve problems, and apply frameworks with purpose. Alessandro breaks down the evolution of roles in data science, the rise of hands-on workshops for real-world learning, and the practical use of frameworks like Crew AI and LangGraph. He also explains why observability isn’t a buzzword but a necessity for responsible AI development. If you’ve ever wondered how AI engineers can deliver business value without drowning in hype, this episode offers a grounded, professional perspective. Top Insights: A professional perspective in data science requires domain specificity. Experiences at conferences can lead to valuable networking opportunities. The role of a data scientist is evolving and often overlaps with AI engineering. AI engineering is about building solutions, not just maintaining infrastructure. Workshops can be effective for hands-on learning and engagement. Choosing the right framework depends on the specific problem being solved. Observability is crucial for understanding AI systems' decision-making processes. Problem-solving should be prioritized over tool selection in AI development. Experimentation with tools is essential for effective AI engineering. A strong foundation in software engineering enhances problem-solving capabilities. Connect with Alessandro Romano Alessandro Romano’s Website (https://www.aromano.dev/) - https://www.aromano.dev/ Connect with Thomas Bustos Thomas Bustos on LinkedIn (https://www.linkedin.com/in/thomasbustos/) - https://www.linkedin.com/in/thomasbustos/  Let’s Talk AI (https://thomasbustos.substack.com/) - https://thomasbustos.substack.com/  Let’s Talk AI on YouTube (https://www.youtube.com/@lets-talk-ai) - https://www.youtube.com/@lets-talk-ai  Let’s Talk AI on Spotify (https://open.spotify.com/show/6mVjFvdEkZDCTXpIuuSLAP) - https://open.spotify.com/show/6mVjFvdEkZDCTXpIuuSLAP Hosted on Ausha. See ausha.co/privacy-policy for more information.

The world of AI engineering is exploding. Every week, there’s a new framework, a new tool, a new breakthrough. For beginners and even mid-career engineers, it can feel overwhelming. Where do you even start? In this episode of Let’s Talk AI, Miguel explains why hands-on learning beats passive theory, why systems thinking is the real skill every AI engineer needs, and why observability—understanding what’s happening inside your models and systems—is non-negotiable if you want to build responsibly. For anyone looking to break into AI engineering, this episode offers a roadmap: stop chasing every trend, start focusing on systems, and above all… Build, learn, and grow. Top Insights: Neural Maze aims to help aspiring engineers navigate the overwhelming AI landscape. Building AI systems requires thinking in terms of systems, not just code. Observability is crucial for deploying AI systems in production. Learning by building projects is the most effective way to gain skills. Filo Agents project connects philosophy with gaming, showcasing innovative applications of AI. The value of code has shifted; engineers must adapt to new technologies. Miguel encourages staying out of the hype and focusing on building meaningful projects. He plans to expand Neural Maze into a community for self-contained courses. Connect with Miguel Otero Pedrido Miguel Otero Pedirdo on LinkedIn (https://es.linkedin.com/in/migueloteropedrido) Miguel Otero Pedrido on Substack (https://substack.com/@migueloteropedrido) Miguel Otero Pedrido on (https://medium.com/@migueloteropedrido/about)Medium.com (http://Medium.com) Miguel Otero Pedrido on GitHub (https://github.com/MichaelisTrofficus) Miguel Otero Pedrido on X (https://x.com/moteropedrido) The Neural Maze on Substack (https://theneuralmaze.substack.com/?utm_campaign=profile_chips) The Neural Maze on YouTube (https://www.youtube.com/@TheNeuralMaze) Connect with Thomas Bustos Thomas Bustos on LinkedIn (https://www.linkedin.com/in/thomasbustos/) Let’s Talk AI (https://thomasbustos.substack.com/) Let’s Talk AI on YouTube (https://www.youtube.com/@lets-talk-ai) Let’s Talk AI on Spotify (https://open.spotify.com/show/6mVjFvdEkZDCTXpIuuSLAP) Hosted on Ausha. See ausha.co/privacy-policy for more information.

We’re standing at the edge of an AI-driven future, and most people don’t realize how fast we’re getting there. In this episode of Let’s Talk AI, Nathan Labenz joins us to share insights from years at the forefront of AI development. We cover everything from the disruptive potential of AI-powered content creation to the deep ethical debates around autonomy, alignment, and safety. This is an urgent conversation because the decisions we make now—about adoption, guardrails, and governance—will define the next decade. Top Insights: There is radical uncertainty about AI's future. Nathan Labenz's mission is to understand AI's current state. AI is transforming content creation and marketing. Hands-on experience with AI is crucial for understanding its capabilities. AI can provide services that were previously expensive and inaccessible. The ideal user experience is for AI to automate tasks seamlessly. AI's rapid adoption is unprecedented in history. Ethical considerations around AI consciousness are complex. AI can outperform humans in specific tasks, but has weaknesses. The future of AI holds both exciting opportunities and significant risks. Connect with Nathan Labenz Nathan Labenz’ Website (https://www.nathanlabenz.com/) - https://www.nathanlabenz.com/ Nathan Labenz on LinkedIn (https://www.linkedin.com/in/nathanlabenz) - https://www.linkedin.com/in/nathanlabenz Nathan Labenz on X (https://x.com/labenz?lang=en) - https://x.com/labenz The Cognitive Revolution (https://www.cognitiverevolution.ai/) - https://www.cognitiverevolution.ai/ Connect with Thomas Bustos Thomas Bustos on LinkedIn (https://www.linkedin.com/in/thomasbustos/) - https://www.linkedin.com/in/thomasbustos/  Let’s Talk AI (https://thomasbustos.substack.com/) - https://thomasbustos.substack.com/  Let’s Talk AI on YouTube (https://www.youtube.com/@lets-talk-ai) - https://www.youtube.com/@lets-talk-ai  Let’s Talk AI on Spotify (https://open.spotify.com/show/6mVjFvdEkZDCTXpIuuSLAP) - https://open.spotify.com/show/6mVjFvdEkZDCTXpIuuSLAP Hosted on Ausha. See ausha.co/privacy-policy for more information.