The Empirical Research Assistance framework automates the cycle of hypothesis generation and experimental validation. It integrates large language models with laboratory automation to accelerate scientific discovery. Google researchers demonstrate that this system reduces manual trial-and-error. Practitioners can now automate complex discovery pipelines, shifting human effort toward high-level strategic design.