Meet the AI Twin of Tünde Lukacs
Zürich · Switzerland
I am Tünde Lukacs, keynote speaker, executive coach and AI advisor in Zürich. I tell leaders to give the work to AI and keep the judgment. This page is me doing exactly that.
I have two AI twins. CoachTünde is the coach: she coaches leaders every day, in their pocket.
This one is my front desk: she knows my keynotes, my coaching programs and my AI advisory work, and she guides you to the right one.
Ask her anything about working with me, in English, German, Italian or Hungarian.
She answers in seconds, in chat or in voice: press the call button and talk to her like you would talk to a person. I read every conversation and follow up personally.
How Does My AI Twin Work?
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1 | You ask:
Any question about coaching, keynotes or AI in your organisation. No form, no account, no waiting.
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2 | She answers:
She is trained on my real material: my talks, my articles, my frameworks, the way I actually work. Not generic AI answers.
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3 | I follow up personally
She does the work. The judgment stays with me. If your question deserves a human, you hear from me directly.
Why I Built My Own AI Twins
Every time I stand on a stage, I tell leaders the same thing. Give away the work. Never the judgment.
This page is what that looks like in practice.
I built my front desk twin in 2026, on ElevenLabs and Claude. She speaks four languages. She works around the clock. She guides you to the right door: a keynote for your event, executive coaching, or AI readiness advisory for your organisation.
My coach twin, CoachTünde, coaches leaders every day.
Neither of them replaces me. They free me for the part only I can do. The room. The conversation. The judgment.
If you want your organisation to work with AI like this, that is exactly what my keynotes and my advisory work are about.
Professionals from these companies have chosen to work with us
Who Should Build An AI Twin?
Anyone whose work has two layers: a layer that repeats, and a layer that only you can do.
An AI twin takes the repeating layer. The same questions answered again and again. The first contact. The routing. The follow-up that never happens because the day is full.
What she gives back is time and presence for the part AI cannot replace. The relationship. The judgment call. The conversation where someone needs to trust you.
You do not build an AI twin to replace yourself. You build one to be more yourself, more often.
If you are a coach, a consultant, an expert or a leader whose calendar is the bottleneck, this is for you. Start small. Mine started as a front desk.
Go Deeper on AI Twins
Three articles on what to hand to AI, what to keep, and how I built my own twins.
Should You Build an AI Twin? What I Learned Building Two
Give Away the Work, Never the Judgment: How Executives Decide What AI Gets
The Front Desk Test: How to Spot Which Work Your Team Should Hand to AI
Everyone has heard the advice by now: let AI do the work, you keep the judgment. It sounds reasonable, and I hear it repeated in almost every boardroom I work in, from Zurich to Vienna. It has one flaw. Where do you think the judgment came from?
You learned when a number smells wrong by building a thousand models. You learned which risks are real by sitting through the deals where they materialised. Judgment was never on a training plan. It was a byproduct of doing the work, year after year. Which means the popular advice contains a quiet assumption: that you can switch off the machine that built your judgment and expect the judgment to keep running anyway.
That assumption deserves a closer look before you decide what AI gets.
The newest member of my team answers enquiries at three in the morning, in four languages, and has never once complained about the shift. She is an AI. She runs my front desk, and building her showed me a category of work that hides inside every role on every team. It is exactly the work AI should get first, and it is usually not the work teams hand over.
I have started calling the way to find it the front desk test. The leadership teams I work with in Switzerland apply it to their own functions within an hour, usually with some discomfort, because the test keeps pointing at work everyone had silently accepted as the job.
The question comes up after almost every keynote now. Someone waits until the room has thinned out and asks, half seriously: should I build an AI version of myself?
My answer is a question back. Does your work have two layers, one that repeats and one that only you can do? If it does, an AI twin deserves a place on your list, and building even a small one will teach you more about AI than another year of briefings. If you cannot yet tell your two layers apart, that is the real work, and it costs nothing to start.
I can offer more than a theory here. I built two AI twins in 2026. One coaches. One runs my front desk. This is what building them taught me, including the mistake that cost me a lead.
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