Tutorials, real-world applications, and plain-English explanations — for people who use AI at work but don't want to read a research paper to understand it.
Courts have sanctioned hundreds of professionals over AI-fabricated work. What they were punished for is the useful part, and it is not the mistake.
AI presentation tools give you clean slides and an empty argument. Why default AI slide decks fail, and the assertion-evidence fix that takes ten minutes.
Typing "no, that's wrong" is the weakest move you have. Models average 39% worse across a conversation than in one shot. Here is what to do instead.
Stanford payroll data shows a 19% employment gap for young workers in AI-exposed jobs, driven by reduced hiring, not layoffs. Here is the split that explains it.
Forty messages in and the AI ignores your instructions. It isn't memory. It's the context window, and accuracy collapses in the middle. Four habits that fix it.
One in four executives says an AI error has already reached outsiders or the board, and 84% are confident in AI output without human review. Here's the half-hour review that turns one mistake into a fix instead of a rumour.
65% of workers say AI improved their productivity. 89% of executives say it has had no effect on theirs. Both surveys are sound: the gains are real and they're getting absorbed before they reach anything you can measure.
An AI agent isn't a smarter chatbot. It's the same model called over and over in a loop, with tools in between. Once you see the loop, everything agents get wrong makes sense, including why they ace short jobs and fall apart on long ones.
A lab ran one identical prompt 1,000 times on the setting meant to remove all randomness. It produced 80 different answers. The cause isn't what most people assume, and it changes how you should build anything repeatable on top of AI.
One widely-quoted study says 95% of AI pilots fail. Another says 48% reach production. They disagree because they're measuring something you probably shouldn't be attempting, and the pilot that actually works has a different goal.