Regex Vs Llm Structured Text

This is the sensible middle ground between overengineered regex and expensive LLM calls for every parsing task. Use regex to handle the 95-98% of structured text that follows a pattern, add confidence scoring to flag edge cases, then only call an LLM for the 2-5% that need it. The production metrics are honest: 410 quiz items parsed with 8 low-confidence flags and roughly 5 LLM calls needed, saving 95% vs an all-LLM approach. The architecture is clean, the code samples are immutable and testable, and the decision framework actually helps you pick the right tool. If you're parsing invoices, forms, or any repeating structure where cost matters, this is worth your time.

Install to Claude Code

npx -y skills add affaan-m/everything-claude-code --skill regex-vs-llm-structured-text --agent claude-code