CRESt is just a starting point of how LLMs can assist experimental scientists, and we believe the true potential of LLMs lies in their hypothesis-generating capability. Humans possess a relatively limited knowledge base but exceptional causal inference capabilities, allowing us to produce pinpoint hypotheses, albeit not in large quantities. In contrast, relying on the extensive knowledge base and the emerging ability to discover the key pattern in a large datasheet via the Excel plugin, AI can generate numerous hypotheses in little time, but is usually less discerning today. Therefore, this is not a story of AI competing with humans, but rather one of AI complementing humans. In the paradigm of "AI suggests, humans select", we hope the strength of both parties can be leveraged.