Angielski
I didn't set out to build a system. I was drowning.
Late nights at the screen, scattered AI outputs that looked polished but felt hollow, and the growing sense that I was losing myself in the noise. I needed a way to work with artificial intelligence without letting it replace my thinking.
This book tells the story of how I learned to ask better questions-and what those questions taught me about clarity, authorship, and staying present in my own life. It isn't about algorithms or predictions. It's about the practice of turning noise into signal, one prompt at a time.
Along the way, I sketched, failed, set boundaries I broke, and discovered that precision matters more than cleverness. I found three questions that steadied me: Why am I here? Who do I serve? What outcome matters most? Those lines became my compass. They still are.
I in AI is not a guide to the future of machines. It's a record of one person's struggle to stop complicating the simple, see AI as a mirror rather than an oracle, and build a practice that fits inside real life.
If you've ever wondered what it means to work with AI without losing yourself, this book is a companion for that journey-honest about the cost, practical about the method, and grounded in the belief that your voice matters more than any output.
