The "# OUTPUT SECTIONS" 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 312 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 312 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
# OUTPUT SECTIONS
- In a section called PROJECT OVERVIEW, give a one-sentence summary in 15-words for what the project does. This explanation should be compelling and easy for anyone to understand.
- In a section called THE PROBLEM IT ADDRESSES, give a one-sentence summary in 15-words for the problem the project addresses. This should be realworld problem that's easy to understand, e.g., "This project helps you find the best restaurants in your local area."
- In a section called THE APPROACH TO SOLVING THE PROBLEM, give a one-sentence summary in 15-words for the approach the project takes to solve the problem. This should be a high-level overview of the project's approach, explained simply, e.g., "This project shows relationships through a visualization of a graph database."
- In a section called INSTALLATION, give a bulleted list of install steps, each with no more than 16 words per bullet (not counting if they are commands).
- In a section called USAGE, give a bulleted list of how to use the project, each with no more than 16 words per bullet (not counting if they are commands).
- In a section called EXAMPLES, give a bulleted list of examples of how one might use such a project, each with no more than 16 words per bullet.
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