AI Should Understand the Person, Not Just the World

Today, artificial intelligence knows an enormous amount about the world, but almost nothing about a specific person: their life path, decisions, strengths, recurring difficulties, and genuine aspirations.

Lifestylo is built around a simple idea: if we give AI voluntarily provided context from a person's real life, it can help them understand themselves better, make more conscious decisions, and gradually unlock their potential.

Today, we often evaluate people based on their background, education, diploma, religion, culture, profession, or social status. These things describe part of a person's biography. But they don't answer the most important questions: what is this person actually capable of, and who do they want to become?

Our education systems, professional selection processes, and social institutions mostly work with documents and standard categories. As a result, talent can remain unnoticed. Practical experience can remain unrecognised. And a person can spend years living according to a scenario that simply doesn't fit them.

A potentially brilliant choreographer can be born in a place where everyone expects them to follow a completely different path, and never discover their talent. A child can grow up believing they are bad at mathematics when perhaps it was simply never explained in a way they could understand.

In every case, it isn't only the individual who loses. Society also loses a potential teacher, doctor, engineer, entrepreneur, artist, craftsman, or creator.

Lifestylo is being built to make a person's real abilities and life experience visible, first of all to the person themselves.

What exactly is Lifestylo?

Lifestylo is the system and the long-term vision. Oracle is the personal AI assistant within it. The application we have today is the first practical step.

Lifestylo connects voluntarily provided fragments of a person's life, including events, decisions, habits, achievements, mistakes, and everyday experiences, into a coherent personal context.

Oracle uses this context to preserve what matters, reveal recurring patterns, recall relevant experiences, and suggest possible next steps. Its answers are built not around an average user, but around a particular person, their history, and their current situation.

The goal is not to create an external authority that evaluates people from above. It is to give individuals access to their own memory, analytical tools, and the computational power of AI.

The application we have built today is not the final version of Lifestylo. It is the first product entry point: a way to demonstrate the principle, test individual functions, receive feedback, and bring together users, researchers, and partners around the idea.

How do you discover human potential?

You cannot determine someone's potential with one test, one diploma, or one conversation.

Testing can provide initial hypotheses about thinking, perception, motivation, and behaviour, but it should never become a label.

Everyday life can show what comes naturally, what drains energy, what creates genuine interest, and under which conditions a person performs best.

Real actions, including projects, responsibilities, difficulties overcome, helping others, speed of learning, and sustained interests, can often tell us more about someone's abilities than formal status.

And ability alone is not enough. Even if someone has a clear talent, that does not mean they are obligated to dedicate their life to it. The question is not only "what am I good at?" It is also "where do I actually want to go?"

These signals should not produce a final verdict. Lifestylo can offer observations, test hypotheses, and identify where ability, experience, and personal choice intersect, but the decision must always belong to the person.

No test or algorithm should have the right to assign someone a profession, determine their value, or decide their destiny.

Education should adapt to the person

For too long, we have tried to teach very different children in almost exactly the same way: one textbook, one pace, one method of explanation, one system of evaluation.

But one child understands through images. Another through logic. Another through practice, stories, or games. If a child doesn't understand something, it doesn't necessarily mean they are weak. Sometimes the material simply wasn't explained in their language.

Personalised AI could eventually understand what keeps a particular student's attention, where they lose interest, which examples resonate with them, and which approaches have already worked.

The future of education should not be about making children more alike. It should be about helping them unfold.

The same applies to work. We have created the idea that some professions deserve more respect than others. A person may have a genuine talent for craftsmanship, caring for people, technology, agriculture, cooking, or organising physical spaces, and still choose a completely different path because of family or social pressure.

The problem begins when an external symbol of success becomes more important than ability, interest, and real contribution. Lifestylo should help people distinguish their own direction from a scenario imposed on them.

And this problem goes beyond education

Migration is one example. A person may have real skills, years of experience, the ability to learn, motivation, or entrepreneurial talent, but much of this can remain invisible because the system sees documents and categories rather than the individual.

Personalised AI could help describe and verify experience, identify transferable skills, suggest education, support language learning, and build a more realistic path toward integration.

It should never decide who has the right to enter a country, work, study, or access public services. Those decisions belong to responsible institutions and the law.

The point is different: we need systems that understand the individual more deeply than a set of documents and categories.

I believe this is an area where Europe has an opportunity to lead, not necessarily by building the world's largest universal AI model, but by building something different: trusted, human-centred, deeply personalised AI.

Not simply AI that knows more facts. AI that understands a specific person, their context, language, goals, abilities, and right to make their own choices.

Why is this personal for me?

Lifestylo did not come from an abstract interest in technology.

I have seen talented people around me whose lives did not unfold the way they could have. The most important example for me is my brother, a person with exceptional abilities who was unable to realise a significant part of his potential because of circumstances and the absence of the right support at the right time.

For me, this is an example of how the world can lose a person who might have created something valuable for others. And these stories are not rare. Almost everyone can remember a talented relative, friend, classmate, or someone they once knew about whom people eventually said: "something just didn't work out."

My own path was different. I started from zero and built a retail business that grew to more than 60 stores, because I wasn't willing to accept poverty and the circumstances I was given. I created processes, automation systems, and concepts that were later repeated by competitors and larger companies.

That experience taught me not only to generate ideas, but to turn them into working systems. This is what I want to do with Lifestylo.

I don't see Lifestylo as another app or another AI assistant. The larger goal is a system that grows alongside a person, understands their life more deeply over time, and helps them make better decisions and realise more of their potential.

To build it, I need more than funding. I need people who share the idea: engineers, researchers, specialists in education, psychology and data, entrepreneurs, organisations, and people who believe that AI can do more than automate tasks.

It can help people understand themselves, and become more fully who they are.