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Practical thinking on AI in the workplace — written pieces and a comic strip series that capture how teams and AI actually work together.
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Find the work with MATCH: a five-step scan for AI opportunities
Most teams ask what AI can do. MATCH asks the sharper question — where in your week would it actually help? — and gives you a five-step scan to find the work, one workflow at a time.
Read this piece →"Most teams ask what AI can do. The better question is smaller and far more useful: where in your own week would this actually help?"
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Showing 6 of 24
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Find the work with MATCH: a five-step scan for AI opportunities
Most teams ask what AI can do. MATCH asks the sharper question — where in your week would it actually help? — and gives you a five-step scan to find the work, one workflow at a time.
02
The cost-to-check rule: a one-line test for when AI is worth it
Most teams ask what AI can do. The sharper test: does checking its work cost less than doing the task yourself? The one-line rule for deciding what to delegate.
03
Navigation, not generation: the first rule of a Trusted AI Culture
Ask AI for a fact and it will happily invent one. The first rule of a Trusted AI Culture is to make AI navigate you to real sources, never generate them.
04
More, Not Less — Jevons Paradox and AI
In 1865, Jevons showed that efficiency doesn't reduce consumption — it multiplies it. Every wave of efficiency since has proven him right. AI is next, and the resource is human work.
05
The Fastest Lap Is the One You Don't Waste
The goal was never to avoid failure — it was to find out sooner. F1 and pharma figured this out. Here's how AI compresses the distance between a decision and the signal that it's wrong.
06
The AI Double Standard
Companies are cautious about AI data privacy, yet signed away similar rights to their CRM, email platform, and accounting software years ago. Here's the double standard worth examining.
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