Blog

There's an assumption baked into most conversational AI roadmaps that nobody really questions anymore: more human-like is better. Friendlier persona, more natural turn-taking, more emotional mirroring, all treated as obvious improvements, the same way "more accurate" or "faster" would be. But is that actually true? Or have we been chasing a proxy for quality and calling it the goal itself? Why human-likeness doesn't always work Push a chatbot far enough toward human-like, and something strange happens: it can start working against you. Read more

For most of computing history, the interface stood between you and the machine, and good UX meant designing that interface so a user's skill level stopped mattering much. LLMs quietly broke that deal. The interface is now a text box, and "prompt engineering" is mostly just writing well: knowing what you want, saying it clearly, structuring it so someone (or something) can follow your logic, etc. In other words, literacy, in the plain sense of being proficient in reading and writing a language: a decent vocabulary, a feel for sentence structure, the ability to organize ideas logically, comprehension sharp enough to respond well to what you read. Read more

A lot of conversations with AI products go wrong. But if you dig into why these interactions really fail, you'll often find that the problem isn't in the interface at all, but it's psychological and it starts in the user's head, before they've even typed a word. Everyone walks into a conversation with a chatbot, voice assistant, or AI companion already carrying a set of expectations: about how smart it is, whether it can be trusted, whether it's " Read more

Have you ever noticed how even the best chatbots sometimes sound off? Not because their grammar’s wrong, but because something about the conversation just doesn’t feel natural. It turns out that long before GPT and LLMs, linguists were already thinking about what makes communication flow (what keeps a dialogue cooperative, relevant, and satisfying). One of them, Paul Grice, offered a framework in the 1970s that remains surprisingly useful for anyone designing conversations today, whether with humans or with machines. Read more

The way we interact with machines is evolving rapidly, and digital avatars are at the forefront of that transformation. As conversational AI systems become more powerful and human-like, avatars are reshaping not just how these systems look, but how we experience and engage with them. But what exactly is a digital avatar and why does it matter in the world of conversational AI? What is a digital avatar? The word avatar has a surprisingly ancient origin. Read more