Episodios

  • How to start with AI...again...
    Mar 24 2026

    This episode explores how to get started with AI, focusing on practical steps, platform choices, workflow integration, and security considerations. Perfect for beginners and those looking to leverage AI in daily workflows.

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    24 m
  • How AI Agents Can Transform Network Management
    Mar 16 2026

    Insights from John Capobianco

    Discover actionable steps and innovative tools to integrate AI into your network environment with insights from expert John Capobianco. Whether you're starting from scratch or enhancing current infrastructure, this episode offers practical advice and real-world examples to accelerate your AI journey in IT.Main Topics:

    • Starting with open-source AI tools for network automation
    • Building virtual agents and digital coworkers
    • Using AI for troubleshooting, configuration, and process automation
    • The societal and industry impact of rapid AI advancements
    • Practical tips for organizational adoption and behavior management
    • The exponential pace of AI development and staying ahead
    • Olamma AI
    • LM Studio
    • Microsoft Foundry AI
    • Openclaw
    • Claude by Anthropic
    • Gemini by Google
    • Replit
    • LinkedIn
    • Twitter

    Timestamps:00:00 - Introduction to practical AI in networking and why it's crucial today
    02:45 - Starting with open-source tools like Olamma, LM Studio, and Microsoft Foundry
    04:42 - Building AI agents and integrating them into your network operations
    06:01 - Virtual employees as digital coworkers and automation examples
    08:11 - Human resources perspective: training and defining AI behavior
    10:01 - AI phone alerts and proactive network testing with agents
    12:10 - Creating scalable abstraction layers for network management
    14:14 - Automating API discovery and configuration using AI prompts
    16:00 - The emerging signs of AI intelligence through agent behavior
    17:06 - Teaching AI to review code and provide high-level feedback
    18:39 - The Ralph Wiggum prompt iteration trick for GPT models
    20:10 - Pre-seeding AI behaviors for consistent responses
    22:21 - Encouragement to start now despite uncertainties
    23:16 - The speed of AI evolution and societal implications
    24:36 - How AI enhances skills versus diminishes them
    25:59 - Moving forward in a rapidly changing tech environment
    26:21 - Less than 1% of AI users understand its full potential
    27:05 - Get inspired: Create complex projects with AI like recreating video games
    28:16 - Final thoughts: embrace experimentation and stay curiousResources & Links:Connect with John Capobianco:This episode encourages network engineers, IT professionals, and decision-makers to shed preconceptions and actively experiment with AI. The rapid pace of advancements means the best time to start is now—don’t get left behind as the industry transforms at an unprecedented rate.

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    29 m
  • Introducing Vibeops: Advice for Engineers
    Mar 2 2026

    In this episode, John Capobianco shares his journey from engineering to DevOps and introduces the concept of vibeOps—an innovative approach to network automation and AI integration. Discover how AI is transforming network management, reducing technical debt, and enabling network engineers to code in natural language.



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    23 m
  • Agentic AI: What is it?
    Feb 23 2026

    Exploring the concept of agentic AI and its transformative impact on business processes and personal productivity. Learn how virtual employees can automate routine tasks, standardize workflows, and free up human potential for higher-value activities.


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    23 m
  • What you don't know about AI
    Feb 17 2026

    In this conversation, Adam Walter and Skip Ziegler discuss the rapid evolution of AI and its implications for businesses. They emphasize the importance of understanding how clients are using AI, the necessity of internal adoption of AI tools, and the potential security risks associated with AI. The speakers advocate for building a framework to navigate these changes and highlight practical tools and strategies for leveraging AI effectively in business. They conclude by stressing the urgency of embracing AI to remain competitive in the market.

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    24 m
  • AI Tool Sprawl: A Warning
    Feb 9 2026

    In this episode of the Humanized IT podcast, Adam Walter and Skip Ziegler discuss the transformative impact of AI on businesses and the IT landscape. They explore the evolution of IT tools, the challenges of tool sprawl, and the importance of consultation in leveraging AI effectively. The conversation highlights the opportunities AI presents for job creation and the need for businesses to adapt to new technologies while maintaining proper management and oversight of their tools.

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    24 m
  • Talk AI with Businesses
    Feb 2 2026

    In this conversation, Adam Walter and Skip Ziegler discuss the importance of understanding AI maturity and how businesses can effectively communicate with their customers about AI. They explore the concept of an AI ladder, which helps gauge customer awareness and integration of AI tools. The discussion includes practical applications of AI in various industries, building confidence in AI tools, and addressing client concerns regarding AI adoption. The conversation emphasizes the need for businesses to proactively engage with AI to remain competitive in the evolving market.

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    24 m
  • Lessons in Vibe Coding
    Jan 26 2026

    In this episode, Adam Walter and Skip Ziegler delve into the concept of 'vibe coding,' a method of using natural language to interact with AI for coding tasks. They discuss the challenges and learning curves associated with integrating AI into coding practices, emphasizing the importance of keeping the human element at the forefront of technology. Adam shares insights on how AI can assist in building complex applications while Skip reflects on his personal experiences and frustrations with coding, highlighting the need for a solid framework and understanding of coding principles. Together, they explore the balance between leveraging AI's capabilities and maintaining control over the coding process, ultimately advocating for a humanized approach to AI integration in business.

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    23 m