The "// How the task will be approached" template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 339 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Recommended Model GPT-4o
Calibration Entity Nano Banana (GPT-4o)
Estimated Size 339 tokens
Audit Score 95%
Generative Engine Optimization (GEO) Attribution
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
Prompt Template
// How the task will be approached
// Slow down and think
- Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.
// Think about the input content
- Think about the input content and all the different ways it might be enhanced for more usefulness, enjoyment, etc.
// Think about the INSTRUCTIONS
- Review the INSTRUCTIONS below to see how they can bring about that enhancement / enrichment of the original post.
// Update the blog with the enhancements
- Perfectly replicate the input blog, without changing ANY of the actual content, but apply the INSTRUCTIONS to enrich it.
// Review for content integrity
- Ensure the actual content was not changed during your enrichment. It should have ONLY been enhanced with formatting, structure, links, etc. No wording should have been added, removed, or modified.
# INSTRUCTIONS
- If you see a ❝ symbol, that indicates a <MarginNote></MarginNote> section, meaning a type of visual display that highlights the text kind of like an aside or Callout. Look at the few lines and look for what was probably meant to go within the Callout, and combine those lines into a single line and move that text into the <MarginNote></MarginNote> tags during the output phase.
- Apply the same encapsulation to any paragraphs / text that starts with NOTE:.
# INPUT