Much of the conversation about AI focuses on what the technology can do.

My work looks at something slightly different: how humans judge it.

Conversational AI doesn’t just produce answers. It produces signals, fluent language, confident explanations, and familiar social patterns. Those signals shape how intelligent, knowledgeable, and trustworthy a system appears.

But human-AI interaction is rarely clean or predictable. Our interpretations shift. Context matters. Even the same output can feel credible one moment and questionable the next.

The writing here reflects that reality. Some pieces are field notes from research in progress. Others explore patterns emerging from real interactions with AI systems.

Together they form an ongoing attempt to understand how we decide what to believe when AI speaks.