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Topic

personal-systems

6 essays on this topic.

  1. The Skill Is Knowing What Matters

    The bottleneck in a world of AI tools isn't crafting the output — it's knowing which output is worth crafting.

  2. Act-on-Receipt: The Third Task Class

    Most task systems are binary, but a third class exists — tasks triggered by external notifications — and managing them like a backlog item is the wrong move entirely.

  3. Push Not Pull

    AI agents that require you to go looking for their results aren't agents — they're automation with better UX. The loop closes when results arrive, not when you remember to check.

  4. The Identification Problem

    Having great AI delegation tools and not using them isn't a tool problem — it's a pattern recognition problem, and that distinction changes everything.

  5. The Last 10% Is the Feedback Loop

    The execution layer of an AI system is only half the infrastructure — the reporting layer is what determines whether anyone acts on the results.

  6. The Deliberation Format Is the Product

    I ran an experiment to find where multi-model deliberation adds value. The answer surprised me: it's the structured format, not the model diversity.