Build for the loop, not the lecture
A junior developer used to wait days for mentor feedback. Now that loop closes in seconds. This is not a small change.
When feedback is scarce, you batch your questions. You guess. You move on and hope. The gaps between learning moments stretch long. Mistakes harden into habits before anyone notices.
When feedback is abundant, learning becomes continuous. Small corrections compound. The rhythm shifts from episodic to constant.
We designed most learning systems around scarcity. Scarce experts. Scarce attention. Scarce time. AI changes the supply side.
The harder question is whether we’ll design for abundance or keep rationing what’s no longer scarce.
Build for the loop, not the lecture.
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The Work of Being (in progress)
A book on AI, judgment, and staying human at work.
The Practice of Work (in progress)
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When teaching stops being bounded
AI removes the constraints that gave teaching its shape—one teacher, thirty students, limited time. But lifting constraints doesn't make the work easier. It makes it different. Teachers trained for a bounded classroom now face an unbounded role that requires judgment, discernment, and presence in ways we haven't yet mapped.
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