In this episode of the Talking AI Podcast, host Matt Page converses with Andrew Miller, an engineer turned designer turned product manager, who has developed the 'Prompt Driven Development' (PDD) methodology aimed at building software with large language models (LLMs).Andrew describes how PDD distills best practices from traditional software development into a framework that allows individuals to build reliable, methodical software without coding. He shares his career journey and how the introduction of ChatGPT inspired his methodology.The discussion includes a comparison between traditional and prompt-driven development workflows, the impact of AI on various software development roles, and the evolving roles in the tech industry.Andrew also shares his experience in building and monetizing a successful product using PDD. The episode emphasizes the disruptive and transformative potential of AI in the software industry.--Key Moments:The Aha Moment: Discovering AI's PotentialFrom Developer to Designer to Product ManagerThe Magic of Chat GPT and Crew AIUnderstanding Prompt Driven Development (PDD)Contrasting Traditional Development with PDDThe Future of AI in Software DevelopmentBuilding a Real Product with PDDDisruption in the Tech Industry--Key Links:RealPageConnect with Andrew Miller on LinkedInYouTubeTikTokSubStackPDD
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33:43
AI for Life: Tips, Tools, and Transformations with Celia Quillian
In this episode, host Matt Paige chats with Celia Quillian about how everyday people can start using AI to simplify their lives. Celia shares her journey from discovering free tools like ChatGPT to applying AI for tasks ranging from travel planning to organizing daily routines.The conversation breaks down practical tips for effective prompting and building habits with AI. Celia explains how giving clear context and using voice commands can transform simple tasks into major time-savers. She also covers how experimenting with AI tools can gradually build confidence and competence.Wrapping up, the discussion looks ahead at AI’s future in both work and personal life. Celia talks about her new book, AI for Life, which offers actionable guidance on integrating AI into everyday tasks, helping listeners overcome fear of change and embrace new opportunities.--Key Moments:Celia’s AI Journey & BackgroundAdopting AI: Daily Habits & ToolsEffective Prompting TechniquesBoosting Productivity with Voice AIThe Future of AI in Work & LifeBook Launch: AI for LifeEveryday AI Use Cases: Travel & Groceries--Key Links:GreenlightConnect with Celia Quillian on LinkedIn
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34:05
The New Era of AI Reasoning with Nate Jones
In this episode, host Matt Paige talks with Nate Jones, a long-time AI expert and popular TikTok personality, about how AI is changing. They discuss how new reasoning models and design approaches are making large language models more than just advanced autocomplete tools.They dive into how these models work by taking time to “think” through a problem. Nate explains that techniques like chain-of-thought and tree-of-thought allow AI to process more information before answering. They also touch on the importance of tokens and compute power, showing how these factors are changing software development and product design.The conversation wraps up by looking at the bigger picture. Nate and Matt talk about the need to work with AI while keeping our own critical thinking skills sharp. They share personal stories, including how Nate teaches his daughter to use AI wisely, and invite listeners to explore more of Nate’s content on TikTok, Substack, and YouTube.Key Moments: Changing AI Adoption HabitsVoice Agents and NuanceCollaborating with AI in Daily TasksRevolutionizing Product DiscoveryExploring AI Reasoning TechniquesTokens: The Building Blocks of AIInference and Compute EconomicsDebating AI vs. Human IntelligenceAI in Education and Everyday LifeKey Links:Rockerbox's WebsiteConnect with Nate Jones on LinkedInWatch Nate Jones on YouTubeFollow Nate Jones on TikTokNate's Substack
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34:35
Democratizing AI: How to Empower Your Organization
In this episode, host Matt Paige sits down with AI expert Andreas Welsch to talk about how companies can turn AI hype into real business value. Andreas shares his experience working with big enterprises and stresses the importance of training teams to use AI effectively. He explains that success in AI isn’t just about using new tools—it’s about better leadership and smarter integration into everyday work.They discuss practical ways to boost AI skills through “social blended learning,” which mixes quick lessons with hands-on practice. Andreas also talks about the evolving role of the chief AI officer, who helps bridge the gap between tech and business, and shares thoughts on the future of AI agents and prompt engineering in transforming traditional work.Looking ahead, the conversation covers how AI tools are becoming more accessible and powerful, making it easier for anyone in an organization to experiment and innovate. The discussion highlights the need for clear strategies and training, ensuring that technology supports real business outcomes while preparing teams for a changing work environment.Key Moments: The Importance of AI LiteracySocial Blended Learning ExplainedEmpowering Teams with AI ToolsThe Rise of the Chief AI OfficerAI Leadership as a Transitional RoleUnlocking Potential with AI AgentsShifting from Software to ServiceOrchestrating AI Across DepartmentsHuman-Centered AI DesignKey Links:Andreas' WebsiteConnect with Andreas Welsch on LinkedInLinkedIn Learning Courses:Agentic AI: Challenges and Opportunities for LeadershipAI Agents: Preparing Your Organization for Change as a Business Leader
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34:56
Transforming Data from 2D to 3D with Graphs and AI
How can high-reliability organizations transform their data from flat, 2D spreadsheets into a dynamic, 3D world of interconnected insights? In the Season 4 premiere of the Talking AI podcast, host Matt Paige dives deep with Jon Brewton, Founder & CEO at data², and Daniel Bukowski, CTO at data², to explore how leveraging knowledge graphs and AI is revolutionizing data transparency and explainability.Jon and Daniel share their journey from traditional analytics to building a modular, cloud-agnostic, zero-trust AI platform that empowers industries such as defense, intelligence, energy, finance, and healthcare. They break down the core concepts of graph databases versus relational systems, discuss how graphs provide the connective tissue needed to support AI-driven decision making, and reveal how integrating LLMs with structured graph data can overcome challenges like hallucinations and unreliable outputs.Learn how data² is transforming complex data into contextualized, three-dimensional insights that not only answer hard questions but also elevate the work of analysts and decision-makers. Whether you’re curious about how to improve data reliability or interested in the future of AI-augmented workflows, this episode is packed with practical insights and forward-thinking strategies.Key Moments:The data² Journey: From Flat Data to GraphsDemystifying Knowledge Graphs & Their ValueGraphs vs. Relational Databases: What’s the Difference?Integrating LLMs with Graph Data for Better AccuracyTransforming 2D Data into 3D InsightsReal-World Use Cases in High-Reliability IndustriesEmpowering Teams with Transparent, Explainable AIThe Future of AI-Driven AnalyticsKey Links:Data²Connect with Jon Brewton on LinkedInConnect with Daniel Bukowski on LinkedIn
Welcome to the Talking AI podcast, where we dive deep into the world of artificial intelligence with host Matt Paige. Formerly known as the Built Right podcast, Talking AI brings you insightful conversations with AI experts, founders of AI products, and industry leaders who are leveraging AI in their businesses. Whether you're an AI expert or a beginner, our episodes will help you understand how AI technology works and how early adopters are deriving value from it.
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