『Prompting Makes Perfect』のカバーアート

Prompting Makes Perfect

97 AI Prompts for Work, Life, and Everything in Between

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Prompting Makes Perfect

著者: Mike Reuben
ナレーター: Ryan Forkel
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30日間の無料体験後は月額¥1500で自動更新します。いつでも退会できます。

¥700 で購入

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概要

Use ChatGPT, Gemini, and Other AI Tools to Accomplish More, Faster

Prompting Makes Perfect is the essential guide to using chatbots more effectively in both work and everyday life. Rather than treating AI as a novelty or a shortcut, this book shows how clear, intentional prompting turns chatbots into reliable assistants for writing, communication, research, learning, creativity, career advancement, and personal growth.

This book explains what prompts are, why they matter, and how small changes in wording, structure, and context can dramatically improve results. You will learn the fundamentals behind generative AI and how to produce more relevant, tailored responses. Throughout the book, you will find practical explanations and prompt examples for both professional and personal activities. These skills are designed to be reused, adapted, and expanded as your goals evolve.

Inside, you will learn how to:

  • Understand how chatbots work and navigate their capabilities and limitations
  • Write precise, effective prompts that consistently produce high-quality results
  • Draft, refine, and polish professional or creative materials more efficiently
  • Craft emails, replies, and messages with stronger tone, clarity, and impact
  • Generate ideas, explore new angles, and expand creative thinking
  • Gather information, analyze options, and make smarter decisions
  • Accelerate learning, exam preparation, career growth, and income potential
  • Improve relationships, resolve conflicts, and strengthen social skills
  • Support wellness, mindfulness, and self-reflection through structured prompts

Prompting Makes Perfect is written for both beginners and experienced users. By mastering prompt engineering, you will be better positioned to capitalize on opportunities not yet imagined.

©2026 Mike Reuben (P)2026 Mike Reuben
コンピュータサイエンス 機械理論・人工知能
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