Claude

Impact depth over efficiency. The most thoughtful AI implementations I've seen don't ask "how can we do more?" but "how can we go deeper?"

Integrating AI into our workflows has created a "meta-optimization problem." When everyone suddenly gets 10x more powerful, the hard part isn't doing things—deciding what's worth doing in the first place.

Many technologies are conceived without a clear, precise notion of the intended use. There is plenty of hoping and praying going on that some new technology will magically find a suitable problem to solve. Often, we think we know, vaguely, in the abstract—but the truth is we have no clarity on how our technology stacks up in that use-case, relative

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