The GPT-5 age is officially here. And wow… People have some polarizing feelings about it.
Some people are calling it the best AI model ever built. Others are crawling back to the models they have been using for months. But here’s the truth:
If you want GPT-5 to work for you, you have to put in some effort. Lazy prompts will get you lazy results. This model is extremely obedient, so vague or sloppy prompts can make it underperform.
OpenAI even released a detailed prompting guide. Based on early testing, exact prompting is making a comeback. Here are 11 tips and techniques, all backed by examples from early users and OpenAI itself.
GPT-5 Foundations: The Essential Prompting Tips
- Tell It to Think Harder – Adding phrases like “think harder” or “think deeper” often improves reasoning. Some use multi-paragraph instructions telling GPT-5 to slow down, explore multiple perspectives, verify its work, and challenge its assumptions. This can simulate longer, more deliberate thinking.
- Use Planning Phases – Break the task into specific steps before the model answers. For example: 1) Decompose the request, 2) Identify ambiguities, 3) Create a plan, 4) Validate understanding. This prevents skipped steps and encourages a thorough, structured approach.
- Be Painfully Explicit – Clearly define tone, style, format, and expectations. GPT-5 adapts to instructions with extreme precision. Vague prompts leave it guessing, which can hurt results.
- Structure Everything – Use consistent formatting like bullet points, numbered lists, or labeled sections. Some users use pseudo-JSON or markdown. The format itself is less important than the detail it forces you to provide.
- Ask for the Thought Process – Prompt GPT-5 to explain its reasoning before giving the final answer. OpenAI found that this improves accuracy on complex or reasoning-heavy tasks.
- Avoid Conflicting Instructions – Contradictory rules in a single prompt can cause GPT-5 to waste reasoning cycles trying to reconcile them. If exceptions exist, spell them out clearly.
- Build in Iteration – GPT-5 can create an internal rubric, score its output, and refine it until it meets top marks in each category. This is especially useful for tasks like coding or content creation, where quality can be defined by clear criteria.
- Try Metaprompting – Ask GPT-5 to improve your prompt. Provide the original prompt, describe what went wrong, and explain what “better” means. The more context you give, the better it can optimize.
Agentic Tips for ChatGPT 5: Fine-Tuning the Model’s Behavior
- Adjust “Reasoning Effort” – In the API, the reasoning_effort parameter controls how much thinking the model does. You can simulate this in chat by telling GPT-5 to spend more or less time reasoning.
- Parallel Processing – Instruct GPT-5 to handle multiple unrelated tasks simultaneously, as long as they do not depend on each other’s outputs. This works well for research, comparisons, or batch content generation.
- Control Verbosity – The API has a verbosity parameter that influences final output length. In chat, you can replicate this by specifying the desired length in words, sentences, or bullet points.
Wrapping It Up
If you have been getting mediocre results from GPT-5, it is not because the model is not good. It is because it demands precision. Think of it like a high-performance sports car. You cannot drive it the same way you would drive a beat-up minivan. Actually… maybe you’d floor it regardless, who knows.
Test these 11 prompting tips and techniques for ChatGPT 5. Make your prompts structured, explicit, and purposeful. Then, see if GPT-5 becomes your new favorite model. Also, check out our ChatGPT prompts while you’re at it.
Got a prompting trick that works even better? Drop it in the comments below.
Until next time, remember to run the prompts and prompt the planet.
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2 comments
receptive to suggestions
I hope it helps! I’m sure it will. Also, be sure to rate the character!