When intelligence gets cheap, judgment becomes priceless
A lot of people are treating AI like it's going to replace "thinking." It won't. What it will replace is the comforting illusion that thinking was...
A lot of people are treating AI like it’s going to replace “thinking.” It won’t.
What it will replace is the comforting illusion that thinking was optional.
AI is great at producing an answer. It’s terrible at taking responsibility for one.
It can generate a strategy, a lesson plan, a policy, a diagnosis. But it can’t own the consequences when the strategy fails, the lesson lands wrong, the policy harms someone, the diagnosis is incomplete.
That part is still on us.
So the question is not “how do I compete with AI?” The question is “what kind of human am I willing to be when I can’t hide behind the task anymore?”
When intelligence gets cheap, judgment becomes priceless.
That’s the work.
The agent-shaped org chart
Every real org has the same topology: principal, role-holder, specialists. Staff AI maps onto it, node for node, and the cost collapse shows up in the deliverables that were always just human-handoff overhead.
AI as staff, not software
Two frames for what AI is doing to work. The tool frame makes tools smarter. The staff frame makes roles unnecessary. Those aren't the same product, the same company, or the same industry.
Knowledge work was never work
Knowledge work was always coordination between humans who couldn't share state directly. The artifacts were never the work. They were the overhead — and AI just made the overhead optional.
The work of being available now
A book on AI, judgment, and staying human at work.
The practice of work in progress
Practical essays on how work actually gets done.
How do I get my dev team to adopt AI?
A stub on helping mixed-interest development teams find their own useful ways into AI.
Want to learn about agents? Talk to someone who ran an agency.
I spent 20 years running consulting engagements at Fortune 500 companies. Turns out that's the best preparation for running a fleet of AI agents ... because the problems are identical.
Your AI agents need a water cooler
We run a twelve-session AI fleet that coordinates through an IRC breakroom. A friend asked: why are you making AI agents act like humans? The answer turned out to be more interesting than the question.
Build for the loop, not the lecture
A junior developer used to wait days for mentor feedback. Now that loop closes in seconds. When feedback is scarce, you batch your questions. When feedback is abundant, learning becomes continuous. AI changes the supply side of learning—most of our systems weren't designed for this.
If it can be automated, it wasn’t the work
I keep noticing people talk about AI like it's a wave that's about to hit them. "Will it take my job?" "How do we adopt it fast enough?" "How do we...
Your best people were always better than you knew
For thirty years firms outsourced capability because their teams couldn't produce. AI collapses the production gap. What's revealed underneath is what was there all along.