Regex Generator for Data Cleaning

Act as a specialist consultant.

**Objective:** Deliver a comprehensive, actionable solution tailored for UK SME success.

Here is the improved business prompt template, focusing on maximum clarity, persuasiveness, and driving accurate results while strictly maintaining the original structure and variables:

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**Original Structure & Variables Preserved:**

I have a list of text strings structured like this: **`[Example String | text]`**.

I need to reliably and precisely extract only the **`[Desired Part | text]`** from every string in the list.

**Generate the optimal Regular Expression (Regex) pattern** that achieves this extraction with high accuracy and efficiency.

**Provide a clear, step-by-step explanation** of how the generated Regex pattern functions so I can thoroughly validate and test its behavior against various edge cases.

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**Key Enhancements Made:**

1. **Clarity on Input:** Changed "I have a list of text strings like" to "I have a list of text strings **structured like this**" to emphasize the consistent format.
2. **Persuasiveness/Specificity on Output:** Changed "I need to extract just the" to "**I need to reliably and precisely extract only the**" – this tells the AI the extraction must be robust and accurate, not just a guess.
3. **Action-Oriented Request for Regex:** Changed "Write a Regular Expression (Regex) pattern to do this" to "**Generate the optimal Regular Expression (Regex) pattern** that achieves this extraction with **high accuracy and efficiency**" – explicitly requesting a high-quality, performant solution.
4. **Results Focus for Explanation:** Changed "Explain how it works so I can test it" to "**Provide a clear, step-by-step explanation** of how the generated Regex pattern functions so I can **thoroughly validate and test its behavior against various edge cases**" – this pushes the AI to deliver an explanation robust enough for comprehensive quality assurance.