We calculate the HOMO energies of the parent and child molecules to assess the degree to which the HOMO energy was modified in the child, as shown in the HOMO energy increases 69.7% of the time for the EDG prompts. These results are consistent with the expected impact of these functional groups on the HOMO energy of the molecules. In conclusion, these results demonstrate that the LLM is capable of generating molecules that modify electronic structures in the precise ways it was asked. This is further confirmed by the visualization provided through our molecular viewer, which shows the specific electronic variations achieved. Additionally, recent works have demonstrated the potential of few-shot prompting, iterative refinement schemes, and chain-of-thought (CoT) prompting in enhancing the performance of LLMs. Therefore, it may be worthwhile to explore these approaches further, combining them with advanced prompt engineering techniques, to understand how they can improve results beyond zero-shot prompting in the context of molecular design.