When AI was a private tool, PMs wrote for two audiences: business stakeholders and developers. Deck and PRD. That world is closing. PMs now write for three — and the third audience fails in a way the first two never did, in a way that's invisible at the moment it happens. Here's the new map:
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I am a sucker for good words, and one from Tamil literature keeps surfacing the deeper I go into AI: மதக் களிறு, the bull elephant in musth, the periodic testosterone surge that turns a beast of burden into a force of nature. It breaks through fortress gates, shrugs off
Last week Claude Code shipped dynamic workflows. The first thing I pointed one at was the design decision I was least sure of, and verifying it took a prompt instead of a harness. Dynamic workflows are easy to underrate. Claude Code can now write its own multi-agent harness on the
Anthropic's CEO used part of his own developer conference to explain why writing the code is no longer the hard part. His framing was Amdahl's Law: when you speed code generation up several times over, the work you did not speed up becomes the constraint. Review,
Our position for months has been that the harness around a model, its scaffold, prompts, and configuration, does more work than its weights on whether the product holds up in production. The AI market is still mispricing this. Procurement and investment decisions anchor on model capability: benchmarks, parameter counts, training
