The essential practice of line-by-line proofreading, verifying facts, checking sources, and testing code outputs generated by automated models to spot errors or hallucinations.

A long-winded phrase used by corporate trainers to describe the tedious necessity of manually double-checking a language model's generated work because the software frequently makes things up.

• Dressed-Up Proofreading: Giving basic fact-checking and double-checking a long corporate title.
• Software Error Mask: Framing the high time-cost of catching model hallucinations as an intellectual virtue.
• House-Cleaning Reality Check: Like inspecting a swept floor for missed dirt patches and calling it "evaluating outcomes critically."

Michael Clayton (2000s) scene where attorneys meticulously evaluate document outputs line-by-line in a dark room, catching a single critical discrepancy that unravels a corporate defense.

Carefully proofreading and fact-checking generated software answers against source files.

“Our risk guidelines require evaluating outputs critically before submitting client reports.”

“We instructed our paralegals to double-check every generated date and quote against original PDF contracts before sending summaries to partners.”