From Prompt Engineering to Context Engineering: Why Typed Graphs Beat Chatty Agents in the Lab
A lab workflow is a terrible place to discover that your AI agent has been “remembering” chemistry as a conversation. That sounds unkind. It is also the point. In a casual chatbot, losing track of context means an awkward answer. In computational chemistry, losing track of context can mean a wrong molecular geometry, a missing imaginary-frequency check, an invalid charge or multiplicity, or a pKa estimate that looks numerically confident while being scientifically useless. The model did not necessarily become stupid. The workflow around it treated state as text. ...