A key challenge is maintaining the reliability of results, crucial for managing potential risks since a plethora of variables and parameters are prone to errors during experimentation 2 . These include tasks typically simple for humans, such as removal of salt accumulation, replenishing depleted electrolyte bottles, ensuring electrical connection at the hardware level, and maintaining safe thresholds for measurement parameters at the software level. Failure to address these aspects could not only lead to experimental inaccuracies but also in substantial time and resource wastage. The integration of mitigation strategies is a key step towards realizing a truly autonomous laboratory . Thus, we enhance our platform by implementing mechanisms for providing critical feedback and real-time analysis throughout the experimental stages (Fig. , Section Quality Control). This informs researchers of ongoing progress and potential failures, and enhance trustworthiness of high-throughput experimentation.