When testing new technology features, I start by familiarizing myself with the documentation or guidelines to understand how it’s supposed to work. Then, I try it in a controlled environment, experimenting with different use cases to see its strengths and limitations. I also pay attention to how user-friendly it is and whether it integrates well with existing tools. If issues come up, I document them so I can reflect or share feedback. For me, the process is about balancing curiosity with a structured approach to testing.

I have experience using AI tools mainly as a student in IT. I often use AI-powered platforms for research, coding assistance, and generating ideas for projects, which helps me improve my problem-solving and productivity. I’ve also explored AI in content creation, such as generating summaries, refining writing, and brainstorming designs. While I’m still developing my technical skills, I see AI as a valuable tool that complements learning and makes tasks more efficient.