Why I came up with TSCE(Two-Step Contextual Enrichment).

+30pp uplift when using GPT-35-turbo on a mix of 300 tasks.

Free open framework, check the repo try it yourself

https://github.com/AutomationOptimization/tsce_demo

I tested this another 300 times with gpt-4.1 to remove those obtrusive "em-dashes" everyone hates. Tested a single-pass baseline vs TSCE, same exact instructions and prompt "Remove the em-dashes from my linkedin post. . .".

Out of the 300 tests, baseline failed to remove the em-dashes 149/300 times. TSCE failed to remove the em-dashes 18/300 times.

It works, all the data as well as the entire script used for testing is in the repo.