What are the basics of prompt writing ??

A developer outlines a modular framework for prompt engineering, presenting a universal prompt architecture that includes role, context, operational guidelines, negative constraints, and output format to improve LLM output quality.

Prompt writing prompt engineering is the practice of structuring instructions so an LLM generates precise, high-quality, and contextually accurate outputs. Rather than treating the model like an open-ended conversationalist, effective prompting treats it like a programmable engine that requires clear constraints, context, and schemas. The Universal Prompt Architecture Here is the modular framework to structure everyday professional prompts: ROLE & OBJECTIVE Act as a Specific Role/SME . Your task is to Specific Task/Deliverable . CONTEXT & INPUTS - Target Audience: e.g., Beginners / C-Suite / Technical Specialists - Source Data / Background: Insert raw facts, parameters, or text OPERATIONAL GUIDELINES 1. Core instruction 1 2. Core instruction 2 NEGATIVE CONSTRAINTS What to Avoid - Do NOT include conversational throat-clearing e.g., "Sure, I can help with that", "Here is..." . - Do NOT summarize or repeat the prompt premise. - Avoid generic adjectives; quantify claims with specific units or bounds. OUTPUT FORMAT Specify exact layout: JSON schema, Markdown tables, or numbered steps