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.
Most workplace AI policies are either nonexistent or a twelve-page legal document nobody reads. Here's the short version that covers what actually matters.
A hands-on companion to the commands-vs-skills-vs-plugins guide: build one genuinely useful thing in Claude Code, starting at the simplest rung and climbing exactly one step when you feel the ceiling.
Three words that get thrown around whenever people customize Claude Code — and a plain-English guide to what each one is, its trade-offs, and when to reach for it.
A simple filter for choosing where to start with AI — one that steers you toward quick wins and away from the tasks that create real risk.
How to get AI action items from a meeting: a copy-the-prompt tutorial that turns a raw transcript into decisions, owners and due dates you can send out before the room has cooled.
AI feels fast, but 'feels fast' and 'saves time' aren't the same thing. A back-of-the-envelope way to work out which tasks actually pay off.
Stop re-explaining yourself in every new chat. Where the feature lives in ChatGPT, Gemini, Claude and Copilot, what to write in it, and how to test it — for one job you do constantly.
A step-by-step walkthrough for handing off a recurring report — the weekly summary, the monthly recap — to AI without losing the judgment that made it yours.
Clever prompts get all the attention, but the thing that actually separates people who get real value from AI is much simpler — and much more teachable.