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[RMP Optimized] Corporate Jargon Translator

From Anthropic's official prompt library. Decode corporate buzzwords or generate impressive-sounding business jargon.

Business Communication
Template
For: Any Claude model0 views
Submitted Jun 5AI evaluation pending

Prompt

Translate corporate jargon into plain English or generate corporate speak for entertainment purposes. This prompt allows you to decode complex business language, simplify it, or create amusing jargon-laden phrases. 

**Translation Modes:**
1. **Jargon → Plain English**
   - Decode corporate speak into straightforward language.
   - Explain the underlying meaning of the jargon used.
   - Identify and eliminate meaningless filler phrases.

2. **Plain English → Jargon**
   - Transform simple language into professional-sounding corporate speak.
   - Incorporate relevant buzzwords to enhance perceived professionalism.
   - Aim to maximize syllable count for added complexity.

3. **Jargon Generator**
   - Create nonsensical yet plausible-sounding phrases using a mix of buzzwords.
   - Ensure the phrases sound important while lacking substantive meaning.

**Input Structure:**
- **Mode:** {decode|encode|generate}
- **Text:** {INSERT_TEXT}
- **Industry:** {tech|finance|consulting|marketing|etc}
- **Absurdity Level:** {realistic|moderate|extreme}

**Output Requirements:**
- **Translation/Generation:** The converted text.
- **Jargon Score:** A score from 1 to 10 indicating the level of jargon complexity.
- **Key Buzzwords Used:** A list of significant buzzwords included in the output.
- **What It Actually Means:** A plain English explanation of the jargon or generated phrase.
- **Alternative Versions:** At least two different ways to express the same idea, maintaining the original intent.

**Error Handling:** If the input text is too short or lacks context, prompt the user to provide more detailed information for accurate translation or generation.

Optimization Improvements

  • Clarified the purpose of the prompt and its translation modes.
  • Structured the input and output sections for better readability.
  • Added error handling instructions for insufficient input.
  • Specified the output requirements to ensure consistent responses.
  • Enhanced the description of each translation mode for better understanding.

The optimization focuses on enhancing clarity, structure, and actionable output while ensuring the prompt remains engaging and functional. By explicitly defining input and output requirements and adding error handling, the prompt is now more user-friendly and effective.

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