I got to work with some incredibly passionate designers, researchers, developers, and PMs who cared deeply about the work and weren’t afraid to ask hard questions. I learned that designing for AI is a different kind of challenge—there’s so much variability and unknown, and things move fast, especially with all the hype out there. But in the end, it’s still about people: what they need, what they trust, and how we can help them adopt GenAI in a way that truly supports their work. My biggest takeaway is how important explainability and transparency are in AI—we need to help users understand these tools, make the most of them, but not become overly reliant on them.