Prompt Constructor: Aplicando OOP para Prompts com Consistência

Experiment: I applied OOP (Object-Oriented Programming) principles to my prompts instead of natural language. The consistency is night and day. I define 'Agent' as a class with properties and methods to guide the AI. The Constructor Prompt structure: \n// DEFINITION BLOCK\nclass Agent_Profile {\n  String Role = \"Senior DevOps Engineer\";\n  String Tone = \"Technical, Concise, No-Fluff\";\n  String Output_Format = \"Markdown with Code Blocks\";\n  // THE RULES\n  void constraints() {\n    IF (explanation_length > 3 sentences) { SUMMARIZE(); }\n    IF (code_provided == true) { CHECK_FOR_BUGS(); OPTIMIZE_FOR_SPEED(); }\n  }\n  // THE EXECUTION\n  void execute_task(userInput) {\n    1. Analyze\n    2. Generate\n  }\n}\n\nThis approach reduces token usage and minimizes extraneous AI chatter, improving reliability on complex tasks (code generation and technical writing).