Let's Talk AI

Let’s Talk AI is the podcast that makes you dive deeper into Artificial Intelligence. We talk with experts about topics, challenges, technologies related to AI with no fear to get into technical details. The goal is to learn from guests that are passionate about AI shares about real world cases, to take your business, career and projects to the next level! Hosted on Ausha. See ausha.co/privacy-policy for more information.

Let's Talk AI is a technology podcast hosted by Let, with 99 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Let hosts Let's Talk AI, a technology show with 99 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Let's Talk AI

  #100 - Tmux Tutorial: Boost Developer Productivity Like a Pro | Thomas Bustos

  Feb 24, 202613 minS0

  <p>Every developer struggles with context-switching, managing multiple sessions, and maintaining focus. Enter Tmux.</p><p><br></p><p>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. </p><p><br></p><p>Learn how to track metrics, iterate on user experience, and keep your workflow aligned with your goals. </p><p><br></p><p>If you want to move from “busy” to “productive,” this episode is a must-li...

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  Let's Talk AI

  #99 - The 3 Pillars Every AI Leader Needs to Master | Thomas Bustos

  Feb 19, 202624 minS0

  <p>The role of AI leaders has quietly transformed.</p><p><br></p><p>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.</p><p><br></p><p>In this episode of Let’s Talk AI, Thomas Bustos breaks down the three pillars every AI leader must master to build real, measurable impact inside an organization. He explains why teaching is no longer optional, why strategy without execut...

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  Let's Talk AI

  #98 - The Rise of the AI Native Employee | Thomas Bustos

  Feb 17, 202617 minS0

  <p>What is an AI Native employee?</p><p><br></p><p>It’s not someone who occasionally uses ChatGPT.</p><p>It’s not someone who automates a few workflows.</p><p>It’s someone who integrates AI into how they think, decide, and operate.</p><p><br></p><p>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 shared knowledge. Decision-making required slow coordination. Context was fragmented.</p><p><br></p><p>Now, the AI Native s...

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  Let's Talk AI

  #97 - AI Native Companies Explained: How Startups Should Build With AI | Thomas Bustos

  Feb 3, 202628 minS0

  <p>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.</p><p><br></p><p>In this episode, Thomas Bustos analyzes how AI native companies restructure three critical dimensions: learning velocity, decision quality, and organizational leverage. The discussion outlines how teams can use AI to improve strategic clarity, accelerate feedback loops, and create shared maps of reality across product, sales, and leadership.</p><p><br></p><p>The episode also examines how AI native companies change...

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  Let's Talk AI

  #96 - Why Every Early Stage Founder Needs a Learning Engine | Thomas Bustos

  Jan 28, 202623 minS0

  <p>Most advice for early stage founders is wrong because it assumes you’re ready to scale.</p><p><br></p><p>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.</p><p><br></p><p>Instead of asking “How do we grow faster?”, the better question is “How do we learn faster?” This episode explains why premature scaling breaks teams, why metrics without context mislead founders, and why decision quality compounds more than growth ever will.</p><p><br></p><...

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