Unlocking the Power of Agentic AI: A Conversation with CTO Jakob Praher (Part 1)

The world of Artificial Intelligence is evolving fast, and one of the most exciting developments is Agentic AI. But what exactly is it, and how does it differ from the more commonly discussed Generative AI? In the latest episode of The Illuminating Podcast, we sit down with CTO Jakob Praher to explore these questions and dive into the transformative ways Agentic AI is shaping the future of workplace tools.

What You’ll Learn in This Episode

AI isn’t just about generating text, images, or code—it’s also about taking action. Agentic AI represents a new frontier where AI systems don’t just create but act with autonomy, making decisions, optimizing workflows, and even anticipating user needs. In our conversation, Jakob Praher breaks down:

• The key differences between Agentic AI and Generative AI—and why they matter.
• How Agentic AI is revolutionizing workplace tools, enabling smarter automation and seamless collaboration.

• Real-world applications that showcase how this technology is already transforming the way teams work.

   

Why This Matters

As businesses continue to embrace AI-driven solutions, understanding the nuances between different types of AI becomes mission-critical. Generative AI, focuses on creating content—text, images, videos—by leveraging large language models trained on vast amounts of data. These models learn to recognize and represent semantics, allowing them to understand language, detect objects in images, or generate media from textual descriptions.

However, while Generative AI forms the foundation of modern AI capabilities, Agentic AI takes things a step further. Instead of merely producing content, Agentic AI can act—meaning it has the ability to change its environment by performing tasks. In this context, an "agent" refers to a machine with the power to execute decisions autonomously. This shift from passive content creation to active decision-making is what makes Agentic AI a revolutionary force in workplace tools.

"Agentic AI refers to a division of AI, which is all about acting within their environments. Basically, an agent can be seen as a machine that has the ability to act, meaning to interact with these large language models because they are the foundation to understanding meaning and can semantically.“" - Jakob Praher

 

Don’t Miss This Episode!

If you’re curious about the next wave of AI-powered innovation and how it can supercharge workplace tools, this is an episode you won’t want to miss.

🎧 Listen now on your favorite podcast platform! And stay tuned for Part 2, where we’ll explore the role of Large Language Models in this space and how Mindbreeze InSpire is helping teams unlock deeper insights and smarter collaboration.