TL;DR: Use specific tags to separate your instructions from your data so the AI doesn’t get confused.
The Problem & Solution
We have all been there: you paste a massive document into a chatbot, but the AI mistakes a sentence inside the document for a command. It starts summarizing the wrong thing or hallucinating rules that don’t exist. This Reddit user, u/Glass-War-2768, shared a reliable method called “Variable Tagging” to solve this exact headache. By using clear delimiters, you create a fence between what you want the AI to do and what you want it to read.
The Prompt
Here is the exact text provided by the author:
You are a Data Processor. Context: <DATA>[Insert Data Here]</DATA>. Rules: <RULES>[Insert Instructions]</RULES>. Task: Process the DATA strictly according to the RULES.
Why It Works
This prompts works because it leverages the way Large Language Models parse structure. 🛡️
- Delimiters: The tags (like <DATA>) act as distinct boundaries. They explicitly tell the model where the information starts and stops.
- Role Assignment: By assigning the persona of a “Data Processor,” you prime the model to act objectively rather than creatively.
- Strict Constraints: The final instruction to process “strictly according to the RULES” binds the previous two sections together, reducing the chance of the model wandering off track.
Variations to Try
While the author uses HTML-style entities, you can simplify this for different models:
- Standard XML: Replace < and > with standard angle brackets < and >. Most models like Claude and GPT-4 are trained to recognize these as high-priority separators.
- The “Triple Quote” Method: If you are coding or using Python, try wrapping your data in “”” (triple quotes). This is a standard way to denote large text blocks in programming, and models understand it intuitively.
Check out the full discussion for more community insights.
Frequently Asked Questions
Q: Do I really need to use strict XML tags like <DATA>?
Not always! While tags provide a rigid structure, some community members find that a clear conversational approach works just as well. Simply introducing the content with “I’m going to give you a document to analyze” followed by “Here is the document” often creates enough separation for the AI to understand.
Q: Is there an alternative to pasting massive blocks of text?
Yes, pasting isn’t your only option. Many users recommend simply attaching the document as a file if your AI interface supports it. For more advanced workflows, tools like Claude Code or Codex can access local files directly, saving you from the copy-paste headache.
The ‘Denominator’ Secret: Stop AI from mixing up data.
by u/Glass-War-2768 in PromptEngineering