The Better Intelligence Journal
Notes on
practical AI.
Practical thinking on AI, teams, and the work between them.
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Brief an AI agent the way you would brief a new hire
Agents that miss the mark are usually under-briefed. Use five short lines covering the job, the inputs, what done looks like, when to ask, and what never to do.
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Price the AI mistake before you count the savings
A faster process that makes errors can cost more than it saves. Here is a short calculation that shows whether an AI workflow is worth building.
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Write an AI policy your team will actually read
Most AI policies are long and ignored. Here is a one-page version that sorts your data into three tiers and tells people what they may paste where.
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Why AI pilots stall after they work
The demo went well, then nothing shipped. The gap is rarely the model. It is the four jobs nobody owned once the pilot ended.
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Test an AI tool on your own work before you buy
Every AI demo works. Here is a one-afternoon test, using twenty of your own cases, that shows how a tool behaves on a normal Monday.
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Where to put the human in an AI workflow
Approving every AI draft sounds safe. In practice, reviewers stop reading. Here is how to design review points people can actually keep up with.
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Measure the workflow before you automate it
Most AI business cases count minutes saved and miss where the time actually goes. Baseline the wait, not just the work, before you build anything.
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How to choose your first AI workflow
Start with one recognizable piece of work, not a platform. A practical way to pick an AI workflow that is small enough to prove and useful enough to matter.
Your next move
What would you like to change?
Start with the work. We’ll help you find the next step.
Tell us what’s slowing you down.
A few lines is enough. We’ll reply by email with what’s worth doing first.