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InsightsNotes on people-first AI.
Practical thinking on adopting AI in people-first businesses — the honest version, without the hype.
Notes worth your time.
Why AI Tools Don’t Stick — and How to Make Them
Plenty of AI tools launch with real excitement and quietly disappear within a few months. The software usually works fine. What fails is everything around it…
Proposals and Reports, With a Human Editor at the Wheel
Writing the proposal, the quarterly report, or the grant narrative is rarely the hard part. Starting it is. AI can get you past the blank page…
Plain-English AI: Cutting Through the Hype
There's a lot of noise around AI right now, and most of it is written to impress other technologists — not to help a busy owner…
Automating Client Follow-Up Without Losing the Relationship
Follow-up is where good businesses quietly leak trust. Not because anyone stops caring — but because the day fills up, the reminder slips, and the client…
The AI-Readiness Questions Every Small Team Should Ask
Most AI projects don't fail because the technology was bad. They fail because a small team jumped to "which tool?" before answering "are we ready, and…
Human-in-the-Loop: What It Actually Means
"Human-in-the-loop" has become one of those phrases people nod at without quite agreeing on what it means. Strip away the jargon and it's simple: a person…
Where AI Fits in a Lean Team — and Where It Doesn’t
The best place to start with AI isn't the flashiest — it's the quietest. It's the admin that eats your evenings, the third draft of the…
A Free AI Policy Starter for Small Teams
Your team is already using AI. The only question is whether they're doing it with a shared understanding of what's okay — or quietly guessing, one…
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