How this works Thirty days, twenty to thirty minutes each. Every day uses real work from your actual life: none of it is practice for its own sake. Three rules that make it work: Use real material. Low-risk work from your actual life, wherever possible. Practice for its own sake teaches far less than practice… Continue reading “Chapter 28: The 30-Day AI Learning Plan”
Beginning with honesty Nobody knows. I want to be plain about that before offering anything, because confident prediction is this subject’s dominant mode and its record is poor. Seventy years of AI history show serious people getting timelines wrong in both directions. The people forecasting mass unemployment by a specific date and the people forecasting… Continue reading “Chapter 26: AI and the Future of Work”
⚡ FAST TRACK Privacy habits that make confident use possible Nobody buys an AI book for the privacy chapter. But the mistakes here are the ones that are hard to undo — you cannot unpaste a client list, and the consequences arrive months later, from a direction you were not watching. Fortunately, sensible privacy practices… Continue reading “Chapter 25: Privacy, Confidentiality, and Your Personal AI Policy”
The ladder Everything in this book so far has had you present for every step. This chapter is about handing over more, and about the fact that each step up removes a place where a human would have caught something. There is a ladder here, and it is worth seeing whole before you climb any… Continue reading “Chapter 23: Repeatable Workflows, Automations, and Agents”
How to use this chapter Eight complete pieces of work, each producing something you keep. They are ordered so that early projects feed later ones, but each stands alone. You do not need all eight. Pick the three or four that match your life and do them properly rather than skimming all of them. Every… Continue reading “Chapter 22: Eight Guided AI Projects”
From talking to working Everything so far has mostly involved typing into a box. This chapter is about the shift that makes AI genuinely useful at work: handing it your actual material. The difference is larger than it sounds. A model answering from training data is working from a general impression of the world. A… Continue reading “Chapter 21: Working With Documents, Spreadsheets, Images, and Data”
Where the value actually is Most business coverage of AI focuses on the wrong tasks. Drafting emails faster is real but small. The value that compounds sits in four places. Volume reading. AI can help you work through long documents, research, competitor material, regulatory updates, and customer feedback that you would otherwise skim or ignore.… Continue reading “Chapter 20: AI for Business and Professionals”
A remarkably capable tutor—and the easiest way to learn nothing An AI tutor has advantages no human tutor can match. It is available at eleven at night. It never sighs. It will explain the same thing eight different ways without a trace of impatience, adjust to any level, and answer the question you were too… Continue reading “Chapter 19: AI as a Tutor: Learning Without Cheating”
Uses that become part of everyday life You have already seen fifty possibilities. In practice, most people settle into four or five and abandon the rest. This chapter is about which ones tend to survive, and about the more complicated question of what AI does to creative work. The domestic uses that last share a… Continue reading “Chapter 18: AI in Everyday Life and Creativity”
The skill that keeps this book useful Everything up to here has a shelf life. The tool chapters are already drifting out of date. The interfaces will be redesigned. The plans will be renamed. This chapter is the answer to that, and it is the reason I wrote the book. By the end of it… Continue reading “Chapter 17: Use AI to Learn Any AI Tool”