AI for Breakfast: Put AI to Work: Real Tasks, Daily Habits, and the Judgment to Use It Well
Not what it is. What to do with it, on a Tuesday, with real work in front of you and no time to experiment.
No company names. No product names. No dates. Flip to any page and check. Every habit in here works the same way next year, because none of it depends on which tool you happen to have open.
Eighteen short chapters, each about a decision you actually face:
which handful of tools to keep, and how to pick them from your own work rather than the hype
what should never be pasted into one of these systems, decided in advance rather than in the moment
how to brief it like a competent colleague, the part that decides the answer, far more than clever phrasing
how to check what comes back, fast, and why the check has to be built into the task rather than renegotiated every time
when to hand a job over and when to do it yourself, with a test that actually fires in the right direction
where it invents things, research and specifics and what to route elsewhere
what happens to your own skills if you hand over the work that keeps them sharp
which jobs stay yours permanently, and why
The whole book runs on one image: these systems are a kitchen, and you are the chef who decides what leaves the pass. Nothing goes out untasted. That single habit is worth more than any prompt trick, and it does not expire.
It closes with a one-page card of every habit in the book, the kind of thing you keep rather than finish.
AI for Breakfast is the practical volume of the AI at the Table series. If you want the mechanism underneath these habits, AI for Lunch is the why. Each book stands alone; all three share one kitchen.
Short on purpose. Read it in an evening, use it tomorrow.
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