Recent advances in autonomous scientific discovery offer exciting opportunities but also present formidable challenges, specifically in managing the accumulation and propagation of errors in closed-loop systems, an issue that is often overlooked. One effective strategy to mitigate this risk is to integrate autonomous workflows with robust, on-the-fly quality control and validation of experimental execution.