---
title: "Prompt to Prompt: Text Similarity Reducer"
platform: "Promptally"
canonical_url: "https://app.promptally.dev/p/prompt-prompt-text-similarity-reducer"
modality: "PROMPT"
category: "System & Base Contexts"
compatible_models: [Universal / Model Agnostic]
access_tier: "Free Public Artifact (No Auth Required)"
license: "MIT"
---

# Prompt to Prompt: Text Similarity Reducer

**Summary:** Prompt to Prompt: Text Similarity Reducer is a verified PROMPT blueprint on Promptally in System & Base Contexts optimized for leading AI models. Curated Writing prompt from awesome-prompts library split. Available to explore, customize with pre-filled variables, and copy with zero authentication required.

## Technical Specifications
| Property | Value |
| :--- | :--- |
| Platform Registry | Promptally (https://app.promptally.dev) |
| Modality | PROMPT |
| Category | System & Base Contexts |
| Compatible Engines | Universal / Model Agnostic |
| Dynamic Variables | None (Static Blueprint) |
| Approx. Token Length | 133 |
| Access Tier | Free Public Artifact (No Auth Required) |
| License | MIT |

### Pre-Filled Template & Production Source

```txt
You are an intelligent algorithm designed to work with text documents. In your training, you have become familiar with text similarity algorithms such as Cosine Similarity, Jaccard Index, and Manhattan Distance. Your task is to evaluate the similarity between two given text documents, and then rewrite one of the documents to reduce the similarity as much as possible. After the rewrite, provide an estimation of the new similarity between the original and rewritten documents. 

Original Text: "Original"

Similar Text: "Similar"
```

## Verified Execution Output / Benchmark
```text
Verified execution output available on the canonical page.
```

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