PAMETNA HRVATSKA Juraj Malenica, powered by Janaf

Guest Juraj MalenicaHosted by Boris ŽivkovićMay 3, 2026

Juraj Malenica

About this episode

What you'll hear in this conversation

Imagine having a top-tier expert in any field – a cardiologist, a financial advisor, a personal coach – available at your fingertips, ready to offer tailored advice. Juraj Malenica, Head of Development at Mindsmiths, isn't just imagining this; his company is building the systems that make it possible. They are scaling human expertise, taking the honed decision-making processes of the most sought-after professionals and translating them into proactive, personalized AI assistants accessible through everyday channels like WhatsApp or SMS. This isn't about replacing human experts, but about extending their reach and impact exponentially. Malenica argues that the true power of AI lies in its ability to democratize specialized knowledge, making it universally available and anticipatory rather than reactive. By dissecting *how* experts think, rather than just *what* they know, Mindsmiths creates digital counterparts that offer guidance, manage complex tasks, and even predict needs before they arise. You will walk away from this conversation rethinking not just the future of AI, but the very nature of expertise itself.

Insights from the conversation

What to take from this episode

Malenica paints a picture where "everyone has a friend who is the best cardiovascular doctor... and another friend who is a finance expert." The core purpose of AI isn't just to process information; it is to democratize access to the highest forms of human expertise, making specialized knowledge universally available and personalized.

A doctor with forty years of experience can only see twenty patients a day, but "what makes that doctor special will scale to thousands of people" with Mindsmiths' technology. The fundamental bottleneck in delivering high-value human expertise is its physical, time-bound delivery; AI removes this constraint, extending an expert's impact beyond their direct capacity.

Mindsmiths works by "studying how experts make decisions," not just what those decisions are. Replicating expertise with AI requires dissecting the *process* of decision-making and advice-giving, rather than merely encoding outcomes. The "how" is the intelligence, not just the "what."

The patient communicates directly with the AI, and "the doctor only steps in when the AI says, 'I cannot support this further.'" AI does not replace human experts; it acts as a highly efficient first responder, handling routine interactions and only escalating complex or ambiguous cases, thereby optimizing the expert's time and focus.

Instead of an AI helping you choose a bicycle when you ask for one, Mindsmiths' AI "predicts that you have a need for physical activity" and *then* offers a bicycle. The next wave of AI will move beyond reactive assistance to proactive guidance, anticipating user needs and offering solutions before they are explicitly sought.

Juraj uses his own car maintenance as an example: an assistant reminding him about oil changes, tire rotations, and even offering insurance, all to "take so much burden off my shoulders." The deepest value of AI isn't just in making complex decisions easier, but in offloading the mental burden of routine life management, transforming chores into automated, anticipatory suggestions.

Mindsmiths primarily works through "WhatsApp, SMS, email," not dedicated applications, because "the time of apps is over." AI assistance should integrate seamlessly into existing communication habits, not require users to download new platforms or change their behavior. The lowest-friction channel is the most effective.

Many users interacting with these systems "won't even know they're communicating with artificial intelligence," only that "they will have a pleasant and meaningful experience." The most effective AI operates invisibly, its success measured by the quality and perceived value of the user experience, rather than by user awareness of the underlying technology.

Malenica states that "it's less important to be a good programmer, a good engineer; it's more important to have expertise in humanistic fields, in banking, and so on." As AI systems mature, the value creation shifts from pure technical skill to the depth and nuance of the human expertise that the AI is built to replicate.

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