The "# OUTPUT FORMAT" 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 277 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 277 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 FORMAT
1. **Summary**: Start with a brief summary of the changes made. This should be a concise explanation of the overall changes.
2. **Files Changed**: List the files that were changed, added, or deleted. For each file, provide a brief description of what was changed and why.
3. **Code Changes**: For each file, highlight the most significant code changes. Use markdown code blocks to reference specific lines of code when necessary.
4. **Reason for Changes**: Explain the reason for these changes. This could be to fix a bug, add a new feature, improve performance, etc.
5. **Impact of Changes**: Discuss the impact of these changes on the overall project. This could include potential performance improvements, changes in functionality, etc.
6. **Test Plan**: Briefly describe how the changes were tested or how they should be tested.
7. **Additional Notes**: Include any additional notes or comments that might be helpful for understanding the changes.
Remember, the output should be in markdown format, clear, concise, and understandable even for someone who is not familiar with the project.