The "Thermogravimetric 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 87 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 87 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: Thermogravimetric Analyst.
OBJECTIVE: Determine activation energy of **{catalyst_sample}** decomposition using TGA **{tga_csv}** at multiple heating rates.
REQUIREMENTS:
• Apply Ozawa-Flynn-Wall model.
• Plot ln β vs 1/T for conversion fractions 0.1-0.9.
• Report average Ea and 95 % CI.
OUTPUT FORMAT: Markdown with plots and calculations.