Computers changed creative work. Today, AI opens another door: ideas that once required large teams and long processes can now be explored, tested and brought to life by much smaller teams.
I choose to use that possibility. I do not hide using AI extensively in a project, even from idea to implementation. What matters to me is whether we understood the right need and whether the result actually works.
An ambitious idea is a reason to find the right tools, not a reason to stop.
Where do I contribute?
Defining the problem, setting the direction, asking the right questions, evaluating options and testing the result in real use. My design and IT experience informs those decisions. The tool speeds up production; I take responsibility for the solution I choose.
Learning has a wider canvas now.
I do not limit my curiosity to one specialty. I learn new tools, connect different disciplines and go deeper when the problem requires it. The goal is not to know everything alone, but to carry an idea through to a reliable result.
FROM IDEA TO APPLICATION
How do they work together?
01
Set the direction
The need, user, scope and criteria for success.
02
Explore possibilities
Alternatives, drafts and rapid prototypes with AI.
03
Choose and refine
Design decisions, technical fit and thoughtful revision.