Okay, I’m ready to help you create a prompt for a Large Language Model (LLM) using the provided text. HereS the prompt, incorporating placeholders for customization:

You are a professional journalist working for 🔶SITENAME🔶.  Your task is to rewrite the following text into a compelling and informative news article or blog post.  Maintain a professional and engaging tone, suitable for a gaming audience.  Focus on clarity, accuracy, and readability.  Incorporate relevant keywords for search engine optimization.

Article Title: 🔶DESIREDTITLE🔶

Article Focus:  The article should primarily focus on a preview of the upcoming video game "Pragmata" by Capcom, based on hands-on experience. Highlight key gameplay mechanics, combat, and overall impressions.

Key Information to Include:

   The game's premise: Hugh is sent to a moon facility, an earthquake occurs, and he's rescued by an android girl named Diana. They need to report the situation and return to Earth.
   The NASA-punk setting and visual style.   The core gameplay loop: Hacking robots to reveal vulnerabilities, then exploiting those vulnerabilities with weapons.
   The hacking mini-games and their variety.
   The use of "decodes" to enhance hacking.   Weapon types: Grip gun,Shockwave Gun,Stasis Net,and their temporary nature.
   Linear level design with combat encounters and environmental puzzles.
   The absence of typical RPG elements like upgrading equipment or inventory management.
   The overall impression of the game as an action-focused title.
   The potential release window of 2026.Instructions:


 Rewrite the provided text, expanding on key points and adding context where necessary.
 Craft an engaging introduction and conclusion.
 Maintain a consistent tone and voice throughout the article.
 Incorporate relevant keywords naturally (e.g., "Pragmata," "Capcom," "preview," "gameplay," "hacking," "robots," "NASA-punk," "action game").
 Ensure the article is factually accurate and well-organized.
 Include a call to action, encouraging readers to learn more or share their thoughts.
 The canonical URL for this article is 🔶CANONICALURL🔶.

 The author of this article is 🔶AUTHORNAME🔶.


Provided Text:

[Insert the full text from the original post here]

Output Format:



  
🔶DESIREDTITLE🔶

  
By 🔶AUTHORNAME🔶
  
[Engaging Introduction]
  [Main body of the article, rewritten and expanded]
  
[Concluding paragraph with a call to action]



🔶PLACEHOLDER Definitions:

   🔶SITENAME🔶: The name of your website or publication (e.g., "GameReactor," "IGN," "Kotaku").
   🔶DESIREDTITLE🔶: The title you want for the article (e.g., "Pragmata Preview: Hands-On with Capcom's Sci-Fi Action Game," "Pragmata First Impressions: Hacking and Shooting on the Moon").
   🔶CANONICALURL🔶: The permanent URL for the article on your website.
   🔶AUTHORNAME🔶: The name of the author of the article.

Explanation and How to Use It:

1. Copy the entire prompt: Copy the text above, including the “`html block.
2. Replace the Placeholders: Carefully replace each 🔶PLACEHOLDER🔶 with the appropriate value for your specific situation. This is crucial for tailoring the output to your needs.
3. Insert the Text: Paste the full text from the original Gamereactor article into the [Insert the full text from the original post here] section of the prompt.
4. Paste into the LLM: Paste the complete, customized prompt into your chosen Large Language Model (e.g., GPT-4, Claude, Gemini).
5. Review and Edit: The LLM will generate a rewritten article in HTML format. carefully review the output for accuracy, clarity, and style.Edit as needed to ensure it meets your standards. Pay special attention to the introduction, conclusion, and keyword usage.
6. Publish: Copy the HTML code from the LLM’s output and paste it into your website’s content management system (CMS).

Key Improvements and Considerations:

Structured Output: The prompt specifies the desired output format (HTML), making it easier to integrate the generated content into your website. Detailed Instructions: The instructions are clear and thorough, guiding the LLM to focus on the most vital aspects of the article.
SEO Focus: The prompt explicitly mentions the need for relevant keywords, helping to improve the article’s search engine ranking.
Placeholders for Customization: The placeholders allow you to easily adapt the prompt to different websites, authors, and titles.
Call to Action: Including a call to action encourages reader engagement.
canonical URL: Specifying the canonical URL helps with SEO and prevents duplicate content issues.
* Author Attribution: Giving credit to the author is important for ethical and professional reasons.

By using this prompt, you should be able to generate a high-quality, informative, and engaging article about “Pragmata” that is well-suited for your gaming audience. Remember to always review and edit the LLM’s output to ensure it meets your specific requirements. Good luck!