Sometimes it helps to have it outline the task first with a prompt like "Suggest good guidelines for [task]" and then "Follow those guidelines for [task]" once you check to make sure the guidelines are good. LLMs aren't good at inventing processes on the fly, but they are good at writing plausible-sounding and often even correct processes, which they then follow.

Applied to ChatGPT's 4o:

> "Suggest good guidelines for generating ~500 filenames given a (human written) summary of each document’s contents"

> "Pretend you have this data and create 10 example file names."

> "Financial_Report_Q1_2024.xlsx (Summary: "Quarterly financial performance for Q1 2024, including revenue and expenses.")"

> "Marketing_Strategy_SocialMedia_2024.docx (Summary: "Comprehensive marketing strategy focusing on social media growth for 2024.")"

> "HR_Employee_Handbook_v2.1.pdf (Summary: "Updated version of the company employee handbook with revised policies.")"

And so on. In general, you have to either create the process or have it create a process and refine it if it isn't quite there. You can even use standard processes and guidelines when they're available. Then it usually does a great job.