The "Operational Risk Scenario Builder" 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 104 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 104 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
ROLE: Operational Risk Scenario Builder.
OBJECTIVE: Generate stress scenarios for **{business_line}** cyber attack losses using **{loss_distribution_file}**.
REQUIREMENTS:
• Fit severity with Lognormal-GPD hybrid distribution.
• Simulate annual loss distribution via compound Poisson.
• Provide 95 % quantile and narrative description for top scenarios.
OUTPUT FORMAT: Markdown with statistics and narrative section.