"When I first started as a product designer, my world revolved around pixels, wireframes, and user flows. I obsessed over every button placement, color choice, and animation timing. My job was to create beautiful, intuitive interfaces that users could effortlessly navigate. Fast forward to today, and I'm standing at a crossroads I never quite anticipated: AI is rewriting the rules of design, and it's forcing me to rethink everything - from what design means to how I collaborate with engineers and even how I define success."
"It started during a project where we were building an AI-powered writing assistant. Initially, I focused on the usual: how to design the interface for suggesting improvements in real-time. But pretty quickly, I hit a wall. The AI's suggestions didn't always make sense in context, and the user experience felt disjointed. I found myself asking: Why are users accepting some suggestions and ignoring others? How does the AI "understand" their style? How do we let users feel in control while still benefiting from automation?"
A product designer shifted from focusing solely on pixels and interfaces to shaping AI-driven systems. AI suggestions often lacked contextual relevance, prompting questions about why users accept or ignore recommendations and how the model interprets user style. Addressing those issues required thinking about models, training data, and feedback loops rather than only UI. Collaboration with engineers and prototyping in code became necessary to influence model behavior. Design responsibilities expanded to balance automation with user control and to craft evolving systems that improve through continuous feedback and iteration.
Read at Medium
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