Resources

Practical writing on redesigning work

Writing on how companies actually work: workflows, operating models, and where AI earns its place. Everything lives on this site, nothing requires an account anywhere.

The AI era does not diminish the relevance of the humanities. It elevates it.

Some of the most influential tech leaders studied philosophy, history, literature or design. As AI makes execution cheap, what gets harder, and more valuable, is direction.

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As AI automates execution, leadership becomes human

The more AI automates operations, the more human your company must become. Why ops teams, Chiefs of Staff and EAs become connectors and integrators rather than coordinators.

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Companies are measuring the wrong thing when they assess AI performance

They focus on access when the real differentiator is usage. Experienced AI users achieve 4 to 10% higher success rates on the same tasks, and the gap comes from how they engage.

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Prove AI can’t do the work

Shopify made teams demonstrate AI could not do the work before requesting headcount. Revenue grew 32%, headcount stayed flat. Workforce design belongs next to the OKRs.

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Redesign the work to measure impact, not activities. How to fix ‘automation brain fry’.

Companies stacked AI tools on top of existing workflows without changing the workflows. The result is measurable: more decision fatigue, more errors, higher intent to quit. Five structural fixes.

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AI is not killing junior jobs. They were already broken.

The board pack was the output. The education was buried underneath it, and nobody designed it. Now AI has taken the visible part of the job, and the bottleneck has moved from producing work to judging it.

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