Medium: https://medium.com/@jsmith0475/from-grep-to-greatness-how-gpt-5-makes-text-pipelines-bulletproof-36d61f82e420 The article, by Dr. Jerry A. Smith, explains how combining the Unix command grep with GPT-5's new regex-constrained tool calls creates highly efficient and reliable text processing pipelines. It contrasts older workflows, where a second grep pass was needed to validate LLM output after processing, with the new method where GPT-5's output is guaranteed to conform to specified regular expressions. This shift prevents errors proactively, reducing costs and latency by avoiding the generation of unusable data and subsequent reprocessing. The article emphasizes that while GPT-5 introduces significant capabilities, fundamental practices like initial filtering with grep and strategic chunking remain crucial for optimal pipeline performance and maintainability.