Imagine having a virtual assistant that could think deeper and solve problems more intuitively than ever before. That’s the promise of GPT-5, which has stirred both excitement and debate just a week after its release. According to the video “How To Prompt GPT-5” from The AI Daily Brief, it’s evident that harnessing GPT-5’s power requires a mastery of prompting techniques. For instance, the suggestion to tell GPT-5 to “think harder” or engage in “deeper reasoning” is both intriguing and puzzling—it indicates an era where specific instructions can transform an output significantly. The video’s emphasis on the relevance of structured prompting cannot be overstated. OpenAI and prominent prompt engineers have underscored the power of clear, structured prompts, citing that confusion only emerges from conflicting or vague instructions. Yet, the video rightly observes that the returns of structured prompts suggest a love-hate relationship with this AI’s precision, contrasting earlier models that were more forgiving. What stands out is the reminder that the quality of prompts can make or break the AI’s output. However, some claims, especially regarding JSON prompting, sparked debates about efficiency versus user expectations. The video’s insight that GPT-5’s self-construction of evaluation rubrics represents a sharper, more nuanced AI, gives a glimpse into how much GPT-5 mirrors the increasing complexity of real-world tasks. With more parameters like reasoning effort and verbosity, the AI feels less like a black box and more like a tailored assistant. As the AI Daily Brief concludes, while the era of GPT-5 demands more precise engagement from users, it opens new doors for significant advancements in prompt engineering.