Episódios
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In this second instalment of our two-part series on prompt engineering, we take things to the next level. If you have ever wondered how to get large language models to think more deeply, reason more clearly, or act more independently, this episode is for you. We explore advanced prompting techniques that unlock far more than simple question-and-answer interactions—techniques that help AI reason, plan, and execute in more intelligent ways.
For more technical users—those building with AI, developing workflows, or exploring the limits of what generative AI can do—we will be covering Chain of Thought prompting, which helps guide models through complex reasoning steps, and Tree of Thought prompting, which enables the model to explore multiple problem-solving paths in parallel. We will also briefly touch on ReAct prompting, which allows models to not just reason but take action using tools and external resources.
Even if you’re not deeply technical, this episode still has plenty for you. We cover Automatic Prompt Engineering, a technique where AI helps refine its own instructions for better performance, and explore how to write powerful prompts for code generation, translation, explanation, and debugging—even if you're not a developer.
While some of the strategies we discuss go beyond what most non-technical users will use day to day, they offer a deeper look into what is possible when AI is used with precision and purpose. And to wrap it all up, we share a comprehensive set of best practices in prompt engineering that will help you write clearer, more effective prompts regardless of your background or use case.
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Prompt engineering is quickly becoming one of the most valuable skills in the AI era, yet most people still treat it as trial and error. In this first episode of our special two-part series based on the Prompt Engineering resource authored by Lee Boonstra at Google, we break down what prompt engineering actually is, why it matters, and how understanding the mechanics behind large language models can dramatically improve the quality of your AI interactions. From token prediction to temperature settings, we explain how generative AI decides what to say next—and how you can guide it with more precision.
We cover everything from basic to intermediate techniques, including single-shot and few-shot prompting, system and role prompts, and often-overlooked features like output configuration and randomness controls. These are the tools that separate casual users from those getting truly valuable results. You will learn how to write clearer prompts, control creativity, and design better outputs for everything from content generation to complex decision support.
Whether you're a student, professional, or a business leader, this episode will give you a strong foundation in how to think about prompting. It is practical, actionable, and sets the stage for Part Two, where we will explore advanced strategies like Chain of Thought, Tree of Thought, and more. If you want to work smarter with AI, start right here.
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In this episode of the Professor Insight Podcast, we break down one of the most in-demand skills in today’s AI-powered world: prompt engineering. With more companies actively hiring prompt engineers and more people using tools like ChatGPT, Gemini, and Claude in their daily workflows, knowing how to craft effective prompts is no longer optional — it is essential. Drawing from my own deep dive into research papers, online courses, and hands-on experimentation, I introduce a practical, proven approach to prompt design: Google’s Five-Step Prompting Framework.
We explore each step in this accessible model — Task, Context, References, Evaluate, and Iterate — and I share real-world examples to help you apply these concepts right away. Whether you are struggling to get useful responses from your AI tools or simply want to improve how you interact with language models, this episode provides a structured foundation for writing better, clearer, and more effective prompts. We also touch on helpful techniques like using personas, setting output formats, and refining your instructions when things don’t quite work as expected.
This is your go-to guide for Prompt Engineering 101, and it is perfect for beginners or anyone looking to sharpen their skills. But that’s not all — as I put this episode together, I realised there was still so much more to explore. That is why I’m launching a follow-up two-part special series focused on advanced prompt engineering, where we will cover more technical strategies for guiding language models to reason, reflect, and act with greater sophistication.
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Update (11 May 2025): Audio issues after 3min have been fixed. Thanks for your patience, and apologies for the inconvenience.
In this episode of the Professor Insight Podcast, we take a closer look at one of the most talked-about developments in artificial intelligence: Agentic AI. After our last episode introduced the concept, many listeners asked for a deeper dive. So today, we are breaking down what Agentic AI actually is, how it works, and how it differs from generative AI, large language models, and traditional AI workflows. If you have been hearing the term but are not quite sure what it means in practice, this episode will give you the clarity you need.
We explore the defining traits of Agentic AI, including autonomous decision-making, goal-driven behaviour, real-time planning, and tool use. Unlike models that simply respond to prompts or follow fixed sequences, Agentic AI is capable of taking initiative and solving complex problems independently. We also examine how this compares to generative AI, which is focused on content creation, and AI workflows, which rely on predefined steps and human direction.
So why should business leaders care? Because understanding these distinctions is critical to making smart choices about automation, innovation, and competitive strategy. Agentic AI opens up powerful new possibilities for efficiency, scalability, and intelligent decision-making across industries. Tune in to find out how this next wave of AI could reshape the way your organisation works and delivers value.
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In this episode, we plunge into the groundbreaking realm of Agentic AI. These aren’t just smart assistants—they’re autonomous agents capable of making decisions, taking action, and learning on the fly with minimal human input. Agentic AI is no longer a distant future – it's happening now. Businesses across the globe are rapidly exploring and integrating this technology to gain a crucial competitive edge. Tune in to discover how these sophisticated systems are moving beyond passive assistance to actively make decisions and execute tasks with limited or no human intervention. This podcast is based on the “Mastering AI Agents” ebook resource by Galileo, and the “Agentic AI - the new frontier in GenAI” report by PricewaterhouseCoopers.
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In this episode of the Professor Insight Podcast, we move beyond the theory and take a grounded look at how artificial intelligence is impacting business and society right now. Drawing from the 2024 Artificial Intelligence in Action report by the World Travel & Tourism Council in partnership with Microsoft, we explore the real-world use of AI across sectors including education, tourism, and business at large. This is not about distant predictions. It is about how AI is already transforming operations, enhancing customer experiences, and shaping workforce dynamics today.
We break down some of the report’s most revealing insights - from how AI is being used to personalise travel and optimise sustainability, to how businesses are struggling to scale AI due to skills gaps and infrastructure limitations. You will also hear about how AI is influencing legal frameworks, data governance, and ethical standards, and how these shifts are already affecting your industry, whether you are in travel, tech, or beyond.
Whether you're a professional, student, policymaker, or simply curious about how AI is shaping the world around you, this episode offers a clear and insightful overview of the current AI landscape. It is designed to help you understand what is happening beneath the surface of the AI headlines and why it matters for all of us.
This episode is sponsored by the Next-Gen Visitor Experience CRC which aims to pioneer cutting-edge technology and deliver an industry-led program of research and development to transform Australia’s visitor economy and accelerate productivity improvements in Australia’s tourism sector. To learn more about the Next-Gen Visitor Experience CRC Round 26 bid, visit: https://www.visitoreconomycrc.com.au/
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In this episode of the Professor Insight Podcast, we explore how artificial intelligence is transforming the tourism sector, guided by insights from the OECD Tourism Paper on Artificial Intelligence and Tourism. AI is already being applied across tourism to enhance visitor experiences, streamline operations, improve sustainability, and strengthen data-driven policymaking. This episode highlights the opportunities AI presents for innovation and growth, while also examining the critical challenges—ranging from data protection and workforce impacts to ethical considerations.
This episode is sponsored by the Next-Gen Visitor Experience CRC which aims to pioneer cutting-edge technology and deliver an industry-led program of research and development to transform Australia’s visitor economy and accelerate productivity improvements in Australia’s tourism sector. To learn more about the Next-Gen Visitor Experience CRC Round 26 bid, visit: https://www.visitoreconomycrc.com.au/
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In this episode on the Professor Insight Podcast, we shift our focus from the boardroom to the classroom—because understanding how students use AI today is essential for understanding the business leaders, researchers, and professionals of tomorrow. In this episode, we break down two major reports: the Global AI Student Survey 2024 by the Digital Education Council, and the Student Generative AI Survey 2025 by the Higher Education Policy Institute. We explore what students are doing with AI, what they expect from their institutions, and what this means for educators and business leaders alike. Plus, we spotlight Anthropic’s launch of Claude for Education—a platform launched in April 2025 and designed to reshape the role of AI in learning through reflection, not shortcuts.
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Welcome to the first episode of the Professor Insight Podcast. In this debut episode, we unpack the most compelling insights from the Standford HAI AI Index Report 2025. From the explosive growth in AI patents—surpassing 122,000 in a single year—to groundbreaking advancements in AI reasoning and medical research, this episode offers a clear, strategic overview of the trends that matter most. We'll explore innovations in AI hardware achieving unprecedented efficiency, the expanding frontiers of AI-driven scientific breakthroughs, and the ethical challenges emerging from rapid technological progress. This episode condenses complex findings into practical, high-level insights to keep you informed and prepared for the future of AI. Listen in to stay ahead.
