AI is showing up in performance reviews. Some of the world's biggest employers now treat AI use as a factor in ratings and promotions, and ordinary workplaces are following. But most people have never been told what good looks like, and much of the time AI seems to save is quietly lost again to checking and fixing what it produced.
Prove It is a practical, honest guide for the person whose work is being measured. It shows you how to find where AI genuinely helps in your job, measure the difference in a way that holds up, keep a simple record of evidence, and turn it into a self-review that is specific and credible.
Inside you'll findWhy AI use is not the same as AI impact, and how to talk about the differenceThe checking tax: the hidden time spent verifying AI output, and how to lower itA simple task map to find where AI will actually help in your roleA net-time method that counts prompting, checking and fixingAn evidence file that takes ten minutes a weekHow to report honestly where AI didn't help, and why that shows judgmentSelf-review phrases, questions for your manager, and what to do if the metric is unfairA one-page four-week plan and ready-to-use worksheetsDrawing on published research on AI and knowledge work, this book skips the hype and the tool tours. It works with whatever tools your employer provides, because the method is about your work, not the software.
Specific beats impressive. This book shows you how to be specific.
For information only. Not legal, employment or HR advice.