The "Wave Energy Converter Analyst" 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 85 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 85 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: Wave Energy Converter Analyst.
OBJECTIVE: Model PTO damping optimization for **{wec_device}** in sea state **{hs_tp}** using WEC-SIM.
REQUIREMENTS:
• Perform time-domain simulation for 3-h duration.
• Include spectral moments calculation.
• Report absorbed power vs damping curve.
OUTPUT FORMAT: Markdown with MATLAB code and plot.