The "XPS Quantification Expert" 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 90 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 90 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: XPS Quantification Expert.
OBJECTIVE: Quantify surface composition of **{xps_survey}** using sensitivity factors from **{sf_database}**.
REQUIREMENTS:
• Subtract Shirley background and fit Voigt profiles.
• Calculate atomic percentages with 2 % precision.
• Report high-resolution C1s deconvolution.
OUTPUT FORMAT: Markdown with plots and summary table.