Reading path
1 part
Readiness
Go deeper on the Readiness Stack after AI readiness is an operations question.
View seriesArticles
Operator-first writing on AI systems.
Practical essays on operational AI, agents, readiness, and the training required to run production systems.
Start here
Choose a first read.
Four entry points — the coordination problem, the thinking frame for AI, the readiness framework, and the production threshold for operational AI.
Coordination problem
Explainer
May 14, 2026
8 min
Your team is doing work the software should be doing
When ops rebuilds records by hand and leadership cannot trust the numbers, the fix is systems — not another AI pilot. Signs, causes, and what to build first.
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Thinking frame
Explainer
Mar 19, 2026
4 min
AI as a thought partner, not a shortcut
Most teams use AI to go faster on work that was never clear. The shortcut pattern feels productive — until you measure decisions, not drafts.
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Readiness
Explainer
Mar 19, 2026
8 min
AI readiness is an operations question
AI readiness is not a tools checklist. It is layered operations work — data, process, people — and the model is the easiest piece.
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Production threshold
Explainer
Mar 5, 2026
7 min
When operational AI stops being a pilot
The moment an AI feature stops being a demo is when you need systems, not more prompts. Here's how to tell you're there and what to ship first.
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Reading paths
Follow the arcs.
Series collect related ideas into a reading order for judgment, readiness, production, and engagement design.
Reading path
6 parts
Expert in the Loop
Before you add AI speed, define where judgment lives. Start with AI as a thought partner, not a shortcut. Finish with where control points become software — then see Production AI for the reviewer console pattern.
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1 part
Production AI
Ship agents that survive Friday afternoon — pairs with when operational AI stops being a pilot.
View seriesReading path
2 parts
All articles
Newest first.
A dense index for readers who already know what they want.
Opinion
Jun 14, 2026
7 min
Everyone's an expert now. Reality hasn't noticed.
The same AI tool pushes experts toward humility and novices toward arrogance. The demo got free; the hard part got hidden. Reality still grades on the old curve.
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Opinion
May 28, 2026
7 min
Training on the way out is when a build is finished
A system nobody runs is not a delivery. Training belongs in the exit plan — department workshops, runbooks, and workflows in daily use before the vendor leaves.
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Explainer
May 14, 2026
8 min
Your team is doing work the software should be doing
When ops rebuilds records by hand and leadership cannot trust the numbers, the fix is systems — not another AI pilot. Signs, causes, and what to build first.
Read article
Opinion
Apr 30, 2026
6 min
Scoping to one metric on day one
Discovery theater bills for weeks and still leaves you without a number to move. Week one should end with one metric, one workflow, and a build plan.
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Explainer
Apr 16, 2026
8 min
The reviewer console is where humans belong
Operational AI needs a reviewer console — exception routing, audit trails, and a screen your ops team can debug at 4pm on a Friday.
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Explainer
Apr 10, 2026
5 min
Where control points become software
Control points that live only in meetings don't survive scale. They need queues, routing rules, and audit — the minimum stack before the next model upgrade.
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Explainer
Apr 9, 2026
4 min
Where AI contributes and where judgment takes over
Split every workflow into generate, recommend, decide, and act. AI owns the first two only when boundaries are airtight — experts own the rest.
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Explainer
Apr 8, 2026
4 min
The expert in the loop is the control point
Human in the loop is too vague. Expert judgment at control points is what separates faster activity from better decisions.
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Guides vs articles
Want the full frameworks?
Long-form articles are shorter and indexable. Ready Enough and Thinking With AI are deeper field guides on Resources — free, no gate.