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More than 60 percent of U.S. working-age adults now use generative AI, so the real question for students is no longer whether they will use it, but what it will do to them over time. This resource, designed for any program from business to general education, teaches the habits that make students more capable instead of more dependent. Students choose one major AI tool, such as Claude or ChatGPT, and stay with it throughout, so their work is judged on their framing, checking, and judgment rather than the product name. Built on the AI Engagement Model, they learn calibrated trust, how to avoid the Oracle Trap of uncritical acceptance, and how to preserve their own judgment. Working through a running business case, they frame problems before building, manage AI as part of an evidence team, build, test, and verify, then integrate the evidence, decide, and defend their work. The result is durable AI fluency that transfers to any tool.
Foreword: How to Use This Book Chapter 1: The AI Engagement Plan Chapter 2: Prompting Like a Pro Chapter 3: Building Custom Assistants Chapter 4: Automating Academic Life Chapter 5: Research and Critical Thinking Chapter 6: Writing and Editing Chapter 7: Personal Knowledge Management Chapter 8: Communication and Email Chapter 9: Tasks, Time, and Productivity Chapter 10: Decisions and Life Planning Chapter 11: Data, Spreadsheets, and Analytics Chapter 12: Team Collaboration Chapter 13: Creativity and Design Chapter 14: Teaching, Presentations, and Speaking Chapter 15: Career Acceleration Chapter 16: Personal Life Optimization Chapter 17: Social Media and Content Creation Chapter 18: Entrepreneurship and Side Projects Chapter 19: AI Agents and Automated Workflows Chapter 20: Ethics, Risks, and the Future of AI Chapter 21: AI Career Showcase Chapter 22: Coding and App Building Chapter 23: AI for Health Sciences
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