The Empirical Research Assistance framework automates the cycle of hypothesis generation and experimental validation. It integrates LLMs with physical laboratory tools to accelerate scientific discovery. Google researchers use this system to reduce manual trial-and-error in complex chemistry. This shift allows scientists to focus on high-level theory while AI manages the iterative testing process.