The text introduces three effective prompt tips for improving output quality when using tools like ChatGPT for various tasks, emphasizing that output heavily depends on prompt quality. The first trick suggests providing ChatGPT with structured, JSON-like prompts, which effectively communicates context, constraints, and required structure, leading to more accurate and focused results by reducing ambiguity. The second tip recommends assigning ChatGPT a specific role or persona—such as an expert tutor—informing its response style, structure, and detail level, resulting in highly personalized and detailed outputs. For example, assigning a tutor role allows for a structured, progressive learning plan complete with lessons, quizzes, and project work. The third and final trick involves using ChatGPT itself to optimize prompts by asking it to rate a prompt's clarity and effectiveness and provide suggestions for achieving a perfect score. The author concludes that prompt engineering is an art, and experimenting with these three methods will significantly enhance the power and productivity of conversations with AI tools.
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