This query is designed too use a large language model (LLM) to generate a news article based on a very short social media post, using a “SuperPrompt” technique. The provided search results give context to the term “SuperPrompt.”
Based on the search results:
SuperPrompts are advanced prompts for AI models. They are designed to elicit more nuanced and complete responses from LLMs than simple prompts [2].
SuperPrompt.com is a tool to help users generate effective prompts for various AI models like ChatGPT, Midjourney, and Claude [3].
SuperPrompt Discover is a platform for discovering and voting on top system prompts across different AI models and applications [1].
The provided prompt includes detailed instructions for the LLM, including:
Analysis: Identifying keywords, audience, tone, dateline location, evergreen topics, and original brand terms. Rewriting and Optimization: Creating a new article with limited content from the source, preserving quotations, removing brand terms, and handling media tags.
Enhancement Modules: Adding ad placeholders, a pull quote, an explainer section with definitions and statistics, key numbers, a data chart placeholder, an optional FAQ section, a live update section, and social sharing links.
Formatting: Specifying the byline format, article sections, sentence capitalization, and JSON-LD schema.
Output Rules: Limiting the output to HTML after the marker and specifying allowed HTML comments.
the INPUTARTICLEHTML is:
1 likes, 0 comments – uffquedelicia on May 31, 2025: "Who wants Teta? Roasted ubre #nte #recipe #Cocina #Uffquedelicia".
The LLM is expected to generate a full news article based on this single social media post, following all the instructions in the SuperPrompt.
Because the instructions specify to only output the HTML after the marker, the response should begin with that marker.
