The rise of AI has transformed how we think about product design and development. Platforms like GPT and Gemini have made it possible to create chatbots with unprecedented sophistication, bringing cutting-edge technology closer to everyday applications. But this isn’t just about tools or capabilities — it’s about a shift in how we approach design itself.
For designers, the introduction of AI marks the beginning of a new chapter that requires us to rethink traditional processes and embrace entirely new methods. Building AI-powered products is far from a plug-and-play process; it demands careful attention to user experience, deeper insights into user behavior, and a commitment to crafting solutions beyond functionality. With AI, we have an extraordinary opportunity to connect with users more personally, creating tailored experiences that address their unique needs, preferences, and limitations.
Over the past year, I’ve been deeply immersed in designing an AI-driven chatbot, gathering valuable insights and experience along the way. In this article, I’ll share some thoughts on how to make chatbot experiences feel more real, natural, and user-friendly — qualities that people genuinely seek in conversational AI.
There are a few schools of thought when it comes to visualizing chatbots. Faceless chatbots, like those of GPT, Gemini, or Google Assistant, are often represented by simple illustrations or icons — especially in text mode, where their small avatar size requires a clear, recognizable design. In voice mode, these chatbots sometimes adopt abstract compositions, such as the visual styles seen with GPT, Gemini, or the recently refreshed Siri. This approach is common for AI models designed to be integrated into a variety of specific products. (For the record, I’m a fan of Siri’s new look!)
