Answer of the Week

In 2025, Maria's case study was named the best agentic solution at the AI Superevent. In 2026, she returns, no longer as a keynote speaker, but as an ambassador.

Officially a Frag-Maria™ Partner for Pharma & Life Sciences since this month. A real conversation from her website shows what that looks like in practice.

A decision-maker asks Maria directly: "Where are you already in use?" Instead of slick answers, she provides raw data. Then she switches modes and asks back. This conversation shows how AI trust truly emerges.

A cleaning question after the first perfect juice — and suddenly the pressing screw got stuck. Maria didn't guess; she asked questions, identified the correct component, guided the customer step-by-step through the solution, and even answered the next maintenance question right away. No FAQ reflex. No support ticket. Just genuine after-sales advice.

The opening was a classic test: "Can you explain Ohm's Law to me?" Maria didn't falter—she correctly applied the formula to a coffee machine. And then sold the smallest machine in the range. Physics. Trust. Product.

A request in Cyrillic — no one on the team could read it. Maria could. She conducted the dialogue in Bulgarian, obtained GDPR consent, secured the lead, and handed the team a clean letter in German. No translator. No workaround.

A three-stage dialogue, two precise technical pieces of information, and at the end a clear "I don't have anything on that right now." Precisely this moment is golden. How Maria identifies knowledge gaps, structures escalation, and thereby expands the recipe database of hurom.swiss.

"Gas grill - but which one?" — four words, zero specification. Maria qualified in under two seconds, segmented in three rounds, and even answered a double query at the end. This is what digital purchasing advice looks like when it really works.

Over 5,000 vacuum cleaner models on the market. No one knows all the combinations. Maria does. Not because she guesses, but because she works with structure. A real conversation from live operations shows how compatibility logic, product data, and defined rules interact, and what happens when there's no direct match.