The danger of AI isn't that it gets things wrong. It's that it gets things wrong in a way that looks exactly right - polished, confident, and formatted like real work. And most of us have trained ourselves to trust polish.Maya is a capable professional who learns this the hard way. She sends a report built on a number the AI invented - a number that looked perfectly credible until a director tapped the line and asked where it came from. What follows is her journey from being fooled by fluent output to directing AI better than almost anyone around her.At the centre is CLIP-A - a simple, repeatable framework (Context, Lens, Instructions, Presentation, Add-ons) that turns a vague prompt into a precise brief, and a plausible-looking answer into one you can actually defend in a room.This is not a book about typing better prompts. It's about judgment: knowing when an output only looks right, where to put a human checkpoint, and how to make AI think faster and harder with you instead of quietly steering you. Real cases - including three that made the news - show exactly what goes wrong when nobody checks, and how one deliberate habit prevents it.You can read it in an evening. But run the prompts on your own work as you go, and you'll finish it already changed.The future belongs to the people who direct AI - not the ones it fools.
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