Learn how to get higher-quality results without mega-prompts: shorter instructions, clearer outcomes, and better performance across all your AI models.. Ai Tools, 🔥 Ai Fire Academy, Ai Automations.
TL;DR
The OpenAI Prompting Guide explains that GPT-5.6 works best when prompts define the outcome, key limits, available evidence, and a clear finish point. Repeated rules and unnecessary steps can reduce quality.
OpenAI recommends starting with a prompt that already works. Remove one instruction group at a time, then rerun the same evals. Keep the same reasoning effort during the first comparison.
You don’t need every section for every task. The OpenAI Prompting Guide suggests keeping only the parts that change the result, including the goal, success criteria, constraints, sources, output, and stop rules. This gives GPT-5.6 room to choose an efficient path.
Key points
Fact: In sample internal coding-agent evals, leaner prompts improved scores by 10–15% and reduced tokens by 41–66%.
Mistake: Rewriting the full prompt stack at once.
Takeaway: Keep the shorter version only when it still passes the same tests.
Table of Contents
Introduction
OpenAI’s GPT-5.6 prompting guide has been going viral since the model’s launch.
I bet many of you don’t know that along with GPT-5.6, OpenAI quietly updated their official prompting guide.
The old style of writing a long list of tiny steps for the AI to follow doesn’t get the best results anymore. When you force them through 15 small steps, you actually block part of their reasoning.
I’ve started testing this method in my own workflows. The prompts are simpler, but the results are sharper and more consistent.
This is an important part of the competition between GPT-5.6 and Fable 5.
If you spent the last year carefully engineering detailed system prompts with stacked rules and ALWAYS/NEVER directives, this guide is going to feel a little uncomfortable.
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