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!
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#100 - Tmux Tutorial: Boost Developer Productivity Like a Pro | Thomas Bustos
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, iterate on user experience, and keep your workflow aligned with your goals.
If you want to move from “busy” to “productive,” this episode is a must-listen.
Top Takeaways:
Cloud tools can enhance productivity but aren't the sole solution.
Tmux is a core tool for managing sessions effectively.
Daily skills help manage entropy and keep goals aligned.
Using a tech stack that includes NeoVim and Cloud Code is beneficial.
Iterating on user experience is crucial for app development.
Context management is key in software engineering.
Open source tools can be integrated for better workflow.
Security and setup considerations are important for cloud tools.
Deep work sessions can lead to more productive outcomes.
Feedback and iteration are essential in the design process.
Chapters:
00:00 Welcome!
02:47 Exploring the Tech Stack
06:07 Deep Work and Project Management
08:55 Iterating on User Experience
12:12 Final Thoughts on Engineering Tools
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 (https://ausha.co/privacy-policy) for more information.
20 Feb 2026
#99 - The 3 Pillars Every AI Leader Needs to Master | Thomas Bustos
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 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 execution collapses, and why implementation is where most AI initiatives die.
If you’re serious about becoming an AI leader, or building AI leadership inside your company, this episode gives you the blueprint.
Listen now.
Top Takeaways:
The core goal is to balance leading and delivering technology.
AI leaders must teach, strategize, and implement effectively.
Successful AI adoption can compound gains for organizations.
Metrics like error rates and active users are crucial for success.
Every build should enhance observability for future improvements.
AI leaders need to understand the latest tools and their applications.
Reverting to previous versions is essential for error handling.
Quantifying AI's impact in terms of revenue is recommended.
A learning organization adapts and grows through shared knowledge.
Effective implementation requires speed, reliability, and quality.
Chapters:
00:00 Welcome!
02:50 The AI Leaders Playbook: Key Pillars
06:03 Understanding AI Adoption and Its Impact
09:10 Strategies for Effective Implementation
11:58 Metrics for AI Success
14:51 Navigating AI Tools and Technologies
18:07 Building a Learning Organization
20:59 Final Thoughts
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 (https://ausha.co/privacy-policy) for more information.
18 Feb 2026
#98 - The Rise of the AI Native Employee | Thomas Bustos
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 shared knowledge. Decision-making required slow coordination. Context was fragmented.
Now, the AI Native shift is changing how organizations think, decide, and execute.
The AI Native employee defines what great looks like.
They set constraints.
They design systems.
They use AI to enhance clarity, not to outsource thinking.
Thomas Bustos breaks down why companies that fail to build AI Native systems will struggle with accountability, context gaps, and slow decision loops. And why the real competitive advantage is how employees integrate AI into learning velocity and decision quality.
This episode is a blueprint for leaders who want to move from AI curiosity to AI Native execution.
Top Takeaways:
If your company is just getting seats for people to ask things to ChatGPT, you definitely need to change something.
Create accountability and a motion of learning velocity.
The more connected your context system is, the better decisions can be made.
The quality of decisions depends on how much reality your team can see.
Software is going to zero, meaning the cost of building solutions is decreasing.
The jobs are not going anywhere; they are evolving with technology.
If you can generate more impact, you are more valuable.
Creating systems that enhance learning and context is crucial for growth.
This is why we're playing this game: to continuously learn and adapt.
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 (https://ausha.co/privacy-policy) for more information.
Who has been a guest on Let's Talk AI
Names identified in recent episode analyses. Showing up to five guests.
Max Berthelot
Richard Wang
Anmol Sood
Remi Fabre
Adam Haney
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Spotify
5.0 / 5
4 ratings
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Questions about Let's Talk AI
Who hosts Let's Talk AI?
Thomas Bustos and Ausha host the show. Published by Let's Talk AI.
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The show publishes weekly, based on its RSS feed.
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