What are the basics of prompt writing ??

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] Enter fullscreen mode Exit fullscreen mode