Let's Talk AI

Every developer struggles with context-switching, managing multiple sessions, and maintaining focus. Enter Tmux. Tmux is a tool Thomas Bustos calls the backbone of his productivity. In this episode, he walks through his full tech stack, explains how deep work sessions are structured, and shows how Tmux integrates with NeoVim and Cloud Code for maximum efficiency. Learn how to track metrics, iterat...

The role of AI leaders has quietly transformed. Not long ago, being an “AI leader” meant hiring a few ML engineers, experimenting with models, and hoping something stuck. Today, that approach fails. AI leaders are no longer just technical champions. They are system architects of decision-making, accountability, and value creation. In this episode of Let’s Talk AI, Thomas Bustos breaks down the thr...

What is an AI Native employee? It’s not someone who occasionally uses ChatGPT. It’s not someone who automates a few workflows. It’s someone who integrates AI into how they think, decide, and operate. In this episode, Thomas Bustos explores the rise of the AI Native employee—not as a job title, but as a new operating standard. Before AI, employees manually summarized, synthesized, reported, and sha...

AI native companies represent a structural evolution in startup design. Unlike traditional companies that adopt AI as an efficiency layer, AI native companies integrate AI into the core decision-making fabric of the organization. In this episode, Thomas Bustos analyzes how AI native companies restructure three critical dimensions: learning velocity, decision quality, and organizational leverage. T...

Most advice for early stage founders is wrong because it assumes you’re ready to scale. In this episode, Thomas Bustos challenges the obsession with growth, optimization, and “best practices.” He argues that for an early stage founder, those things are distractions without a learning engine underneath them. Instead of asking “How do we grow faster?”, the better question is “How do we learn faster?...

Most early stage founders think their job is to grow. That belief quietly kills more startups than bad ideas ever will. In this episode, Thomas Bustos challenges the default startup narrative and argues that early stage founders should delay optimization, ignore premature scale, and focus obsessively on their first five customers. Not leads. Not users. Paying, real ICP customers. He dismantles the...

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 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) dissect the architectural and strategic implications of building AI-powered IDEs. They discuss how real-time feedback loops, adaptive code assistan...

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 const...

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, bu...

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...

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. ...

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...

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-wor...

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...

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...

Most people think entrepreneurship is about having a groundbreaking idea. Pedro Goes disagrees. In this episode, the CEO of InEvent reveals why ideas are overrated, and why execution, adaptability, and timing matter far more. He shares unfiltered insights into securing funding, scaling globally, and leveraging AI-driven innovation to transform the events industry. We also dive into remote leadersh...

Data science freelancing is a test of both technical skill and strategic adaptability.  In our conversation with Jérémy Arancio, we dissect the frameworks he uses to thrive: relentless upskilling, leveraging platforms like LinkedIn for visibility, and distinguishing between hype and practical tools in AI.  From the nuanced differences of GenAI vs. NLP to the tactical mindset shift freelancing requ...

What do you really need to thrive as a data engineer today? Ananth Packkildurai joins us to cut through the noise. From his experience building systems at Slack to his current role in data engineering, Ananth reveals what skills truly stand the test of time, like SQL, data modeling, and a deep understanding of user needs.  We also explore how the rise of Generative AI is changing the game, what ob...

AI is evolving fast, but are our systems, ethics, and infrastructure keeping up? In this episode, Thomas Bustos and Marijn Markus break down the complex interplay between innovation and responsibility in artificial intelligence and machine learning. They examine current limitations in explainability and bias, and unpack what it will take to build scalable, transparent, and human-centric systems. W...

🎙️ Who is Reuven Lerner? Reuven Lerner is a seasoned Python and Pandas instructor with over 30 years of experience in programming and teaching. He is dedicated to helping individuals enhance their careers through the Python language. With a background that includes an MIT education in computer science and a PhD in learning sciences, Reuven combines his industry experience with innovative teaching...

🎙️ Who is Peter Gostev? Peter Gostev is the Head of AI at Moonpig, specializing in generative AI and its transformative applications in e-commerce. With a strong background in structured problem-solving and data analytics, Peter emphasizes the importance of collaboration and rapid prototyping to drive innovation in AI projects. 💡 In this episode... ... we explore Peter's journey in the AI landsca...

🎙️ Who is Daniel Lenton? Daniel Lenton is the CEO of Unify, on a mission tounify and simplify the LLM landscape. He has a background in machine learning deployment, as well as in robotics and computer vision. Daniel is an intellectual and creative problem solver who values consistency, balance, and expectation management when building a startup. 💡 In this episode... ... we discuss Daniel's backgr...

🎙️ Who is Demetrios Brinkmann? Demetrios Brinkmann is the Founder and CEO of the MLOps Community, and also serves as a Conference Host. He is an expert in AI implementation for technical & non-technical professionals and has extensive knowledge of workflow optimization and AI automation. He has a passion for helping people find joy in AI implementation, and believes in augmenting expertise wit...

🎙️ Who is Noz Urbina? Noz Urbina is a content value designer, strategist, and podcaster who specializes in helping enterprises leverage AI and omnichannel for building brands that have relationships with their customers and to foster communities digitally. He has over 14 years of experience in content strategy and customer experience consultancy, where he is a pioneer in adaptive content modelling...