It's very hard to untangle it from the rest of its context (the prompt is built dynamically, from a lot of parts, some project-specific, some specific to my preferences, some built from interaction history), so I can't really share it. In any case, I don't think it's some specific prompt engineering sorcery I'm doing, it's not like I've spent any real time refining it or experimenting with various magical incantations. It's probably just some model features making it more amenable to the kind of instructions that are relevant in these cases (directness, questioning trade-offs, thoroughness etc.). My chatbot swears equally graphical in review prompts and news summarizing prompts so I'm pretty sure I'm not tickling the machine just right :)

Can you share some of its output for reference?