Resources
Newsletters, training material, and how-tos on putting AI to work in a business that handles confidential information — plus a plain-English glossary and a free AI governance guide for your staff.
September 14, 2026 · Briefing No. 8
A question typed into ChatGPT or Claude makes nine stops on its way back to you, and most of them are still there after you close the tab. The route, in plain English, plus ten minutes of settings changes that close the biggest door — and a note on what the settings don't fix.
Read more →August 17, 2026 · Briefing No. 7
Five different limits can produce almost the same annoying message. Tokens, context windows, usage limits, spend limits, and rate limits — sorted out once, in plain English, so you know what to do the next time the AI just… stops.
Read more →August 10, 2026 · Briefing No. 6
Your people are already using AI — the only question is whether you're in the conversation. Three twenty-minute talks to have with your team, and why a one-page agreement beats a ban every time.
Read more →August 3, 2026 · Briefing No. 5
No setup, no sensitive data, no learning curve. Five concrete jobs AI does well on day one — each with a prompt you can copy as-is. Try two this week.
Read more →July 27, 2026 · Briefing No. 4
Sooner or later AI hands you something confidently wrong. Here's why that happens — in plain English — and the four things to check before you send it, sign it, or bill from it.
Read more →July 20, 2026 · Briefing No. 3
Most AI worry comes from treating everything as equally risky. It isn't. A one-page way to sort what's fine for any AI tool from what needs more care — so the question “is AI safe for this?” mostly answers itself.
Read more →July 13, 2026 · Briefing No. 2
Nobody runs a building full of supercomputers for charity. Two pages on how free AI actually pays for itself — training, ads, and the meter — and three five-minute habits for using it with your eyes open.
Read more →July 6, 2026 · Briefing No. 1
Most people type into AI the way they type into Google — a few keywords, hope for the best. That habit is the single biggest reason AI disappoints people. Two pages on what to say instead, with three before-and-after examples you can borrow this afternoon.
Read more →
