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.
Three ways in, depending on what you're trying to do. Each one gathers the relevant posts and puts them in a sensible order.
How do I use AI safely and usefully at work?
How do I roll AI out to my team?
How do I use AI for X?
Most people brace for made-up facts. But half of the AI errors managers actually catch are failures of context — and those look completely correct on the page. Here's what to check instead, and how long it should take.
Most role redesigns fail because they start with the whole job. Google's data says AI touches about a fifth of the tasks in a typical role — so that fifth is what you rewrite. Here's the procedure, and the before-and-after description it produces.
85% of employees say their AI training doesn't help them use AI in their actual role — and it isn't because companies aren't training. Gallup found the thing that moves usage isn't the course at all.
You don't build an agent, you configure one — and it comes down to four decisions, none of which involve programming. The fourth is the one nobody mentions and the one that keeps you out of trouble.
A short AI workshop where everyone builds one real thing — the agenda, why each block is that long, and the fifteen minutes of scope-cutting that decides whether it works.
The safest way to use AI on a spreadsheet is to never let it hand you a number. Ask for the formula instead — it's auditable, it recalculates, and it's the one thing decades of spreadsheet research says actually catches errors.
Google mapped 14.7 million AI conversations to real occupations. AI showed up in 68% of them — but in the median job, it touched just 21% of the tasks. Here's what that gap actually means for your week.
In one week this month, Anthropic put Claude Cowork on phones and OpenAI shipped ChatGPT Work. Both do multi-step jobs with little supervision. Here's how to pick the first task to hand over — and the one to keep.
40% of workers got hit with 'workslop' last month — AI output that looks finished but isn't. Each piece took nearly two hours to clean up. Here's how not to be the person sending it.
47% of U.S. employees say their company has integrated AI — but only 15% use it daily. That gap isn't a training problem or a tool problem. It's an ownership vacuum, and there's a two-hour-a-week fix.