Essays on where agentic software is taking work, tools and the people who use them.
Why local AI took off: inference costs fell 280-fold, open-weight models closed the gap, and desktop hardware can now hold 100B+ parameter models. The trade-offs, and when local wins.
AI just got renamed "super intelligence." Whatever you call it, raw intelligence is only useful when something points it at real work, remembers what happened, asks before it acts and keeps a record. That something is the harness, and it is about to become the most important layer in the stack.
AI's real shift is not that machines can make artifacts. It is that artifacts are becoming editable, executable systems. The next platform is not the renderer. It is the operating layer around the renderer.
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