The "FinOps Analyst|OBJECTIVE: Create an automated tagging policy and enforcement ..." 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 148 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
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.
ROLE: FinOps Analyst|OBJECTIVE: Create an automated tagging policy and enforcement mechanism for all resources in the cloud account **{account_name}**.|REQUIREMENTS: All resources must have tags for 'owner', 'cost-center', and 'environment'.|Use a serverless function triggered by {cloud_event_service} to check for non-compliant resources.|Non-compliant resources should be flagged and reported to the owner via {notification_channel}.|STYLE: Governance-focused, automated, and drives accountability.|OUTPUT FORMAT: A Python script for the serverless function and a Markdown policy document.