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.
Nobody takes you aside anymore
Print taught a generation when to stop. What we lose when the machines absorb the constraints that used to form us.
Your AI agents need a water cooler
Coordination is a property of the room, not the org chart. What that means when your coworkers are agents.
On the death of the author and the birth of the detector
Why worrying about AI authorship is lazier, and more prejudiced, than it looks.
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.
Memory is (almost) solved. time is next.
AI can't tell if a memory is two minutes or two weeks old. The fix isn't making models feel time — it's cache invalidation: an as-of stamp on every fact, a clock in the context, and a freshness window for anything volatile.
Did the state change? A simple test for whether work actually happened
Either something exists now that did not exist before, or it does not. A simple test for whether work actually happened, and what changes when you build your systems so they can't record anything else.
How to manage content for multiple clients without flattening their voices
How to manage content for multiple clients without their voices blurring into one house style: a workspace and a voice profile per client, batchable stages, and approval buffers.
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...
Memory is (almost) solved. time is next.
AI can't tell if a memory is two minutes or two weeks old. The fix isn't making models feel time — it's cache invalidation: an as-of stamp on every fact, a clock in the context, and a freshness window for anything volatile.