The AI Jargon Buster: 30+ AI Terms Explained in Plain English
A plain-English AI jargon buster for business professionals: 30+ terms explained, from machine learning to RAG, each tied to a real work example, not just a dictionary definition.
Botsitting: The Hidden Labor Behind Your Team’s AI Productivity Gains, and How to Design It Away
Your team reports AI is saving them hours a week, but nobody’s days are getting shorter. Botsitting is the reason: the unplanned, unmeasured work of feeding AI context, checking its output, and fixing its mistakes. Here’s what the research actually shows it costs, and five concrete ways to design it out of your team’s workflow instead of just asking people to check more carefully.
Advanced Copilot Prompts for Project Managers: Beyond Chat Search
Every popular list of Copilot prompts for project managers teaches the same single technique: search email and Teams, then summarize. Here’s what an advanced PM does instead, picking among four distinct Copilot surfaces, exporting ERP cost data to the Analyst agent for real variance analysis, and verifying every number before it reaches a sponsor.
AI as a System That Multiplies Expertise, Not a Replacement for It
AI doesn’t replace expertise, it multiplies whatever expertise is already there. That sounds like good news until you realize what it means for a team: the same tool can widen the gap between your strongest and weakest performers instead of closing it. Here’s the research behind that, a scored way to tell who on your team needs skill-building versus more access, and what to do about it this quarter.
AI as a Thinking Partner: Using It to Sharpen Your Own Judgment Instead of Replacing It
Most people use AI to get an answer. Using AI as a thinking partner means doing the opposite: handing it a conclusion you’ve already reached and asking it to argue against you. Here’s the difference, three prompt types worth building into a habit, and how to tell when sharpening has quietly turned into outsourcing.
The Five Questions Executives Ask About Copilot
The same five questions surface in almost every Copilot workshop: data, jobs, accuracy, ROI, and rollout order. Straight answers to each, with sourcing.
The AI-Powered Company: What Actually Changes
What actually changes inside an AI-powered company: not more tools handed out, but a different unit of work and a new team structure entirely.
Five Mistakes Almost Every Copilot Training Makes
Most Microsoft Copilot training looks fine while it’s happening and doesn’t change anything afterward. Five recurring design mistakes explain most of that gap, and what good training does instead.
How to Write Claude Cowork Prompts That Don’t Wreck Your Files
A Claude Cowork prompt needs more than a clear question, because the agent on the other end can actually open, edit, and save your files. Here’s the five-part structure, a chat prompt versus a Claude Cowork prompt side by side, and three full prompts annotated line by line.
AI Tokenomics for Beginners: What Tokens Are and How to Make Your AI Usage Go Further
A practical, everyday guide to how ChatGPT, Claude, Gemini, and Copilot subscription limits actually work, and how to manage your usage without upgrading.
