Prompt Engineering for GPT-5

Overview

This lecture introduces prompt engineering for GPT-5, emphasizing a seven-step prompt structure to improve results and efficiency with AI tools.

Prompt engineering is a vital skill in daily AI use, especially with new models like GPT-5.
GPT-5 delivers best results when given clear, structured, and explicit prompts.

Role: Define the persona or expertise GPT-5 should adopt (e.g., travel expert, marketing strategist).
Task: Clearly state the specific task you want GPT-5 to perform.
Context: Provide background info, target audience, relevant documents, or constraints GPT-5 should consider.
Reasoning: Specify approaches, logic, or steps GPT-5 should use to address your query.
Rules: List any non-negotiable constraints or requirements (e.g., only vegetarian options).
Stop Condition: Indicate when GPT-5 should stop generating output (e.g., after a set number of examples).
Output Format: Describe the desired output format (e.g., table, bulleted list, Markdown).

Structured prompts for creating a 30-day marketing plan include detailed role, task, context, reasoning, rules, stop conditions, and output format.
Travel itinerary example: Role as travel guide, task for a vegetarian-friendly trip, context about interests and timeframe, rules about food and walking distance, stop after 5 days, output in a bulleted itinerary with restaurants in italics.

PromptMaxer.com helps automate and structure prompts using the seven-step format.
Users can input a basic prompt; the tool converts it to a detailed, optimized format for GPT-5.

Prompt Engineering — Crafting specific, clear instructions for AI to achieve better results.
Context — Background info and parameters provided to the AI for better, more accurate outputs.
Stop Condition — The explicit point at which the AI should end its response.
Output Format — The requested layout or appearance of the AI's answer.