OpenAI's recent advancements in AI research, particularly with GPT-5, have shown significant potential for accelerating scientific inquiry. The models have achieved notable successes, such as winning gold medals in international math and computer science competitions. Researchers now rely on these systems to expedite literature searches across multiple disciplines, shrinking tasks that typically take days or weeks into mere hours. A related paper, published in November 2025, provides evidence that GPT-5 can meaningfully enhance research speeds. FrontierScience is introduced as a key tool for evaluating AI capabilities in generating scientific insights. It offers a structured way to assess AI's performance through standardized questions. While it doesn't capture the full scope of scientific work, it addresses the necessity for more complex and original scientific benchmarks. This tool aims to highlight areas where AI succeeds and where improvements are needed, reflecting a step forward in understanding AI's role in science. The article includes a sample chemistry research problem focused on modifying meso-nitrogen atoms in nickel(II) phthalocyanine. Phthalocyanines are valued for their unique physicochemical properties but have faced limitations in structural diversity due to traditional synthetic methods. New strategies that allow for targeted modifications at the meso positions can enhance their electronic and spectroscopic properties. The implications of these modifications extend to the compounds' reactivity and potential applications in material and life sciences. Finally, the article outlines how changes in π-electron count affect stability, aromaticity, and spectroscopic characteristics. For instance, substituents can shift absorption bands in the UV-Vis spectrum or alter NMR chemical shifts, reflecting changes in electronic structure. The ability to control the synthesis at the meso positions ultimately opens new avenues for functionalization and application in redox catalysis and sensor technology.