18 Prompt Engineering Tips for GPT-5
Master GPT-5 with 18 expert prompt engineering tips. Boost speed, accuracy, and control for superior AI results.
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GPT-5 is capable of following instructions with extreme precision, which means that poorly structured prompts will almost always lead to undesirable outputs. We need to be as clear and specific as possible, and think very carefully about how we construct our prompts.
Below, we introduce some of the most useful practical methods we've discovered to help us achieve better results with GPT-5.
1. Make the model run faster by reducing its reasoning intensity
The new model comes with a very powerful parameter: reasoning_effort. Using this parameter, we can control the number of reasoning tokens the model uses to arrive at an answer.
If we want the model to minimize latency, we can set the reasoning effort to "minimal" or "low". This will reduce exploration depth and improve efficiency and latency.