Most dashboards treat KPIs like a scoreboard. Green equals good, red equals bad. Useful for reporting, but terrible for decision-making. A KPI Driver Tree flips this idea around.
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When personalised tools can be created in days, broad vanilla platforms start to feel useless. I built my own AI job tracker in a day and a half.
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Ethan Mollick's Co-Intelligence offers a clear, accessible introduction to using large language models as collaborators. It's the perfect on-ramp for AI newcomers, though seasoned users may find familiar ground.
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Each time a machine crosses a new threshold, many people insist: that doesn't really count as intelligence. Why do we resist calling machine behavior intelligent?
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Fluency doesn't come from studying language. It comes from generating it. That's why I built Babblo.
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Jeff Hawkins' 2005 exploration of intelligence as prediction was ahead of its time in some ways, but missed the mark on others.
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Karen Hao's Empire of AI attempts to capture the OpenAI story while it's still being written. The result is part insightful journalism, part premature verdict.
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How I evolved from copy-paste chaos to a planning-first workflow with Claude Code, and why adding friction made everything faster.
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I don't know if everyone will end up with an AI-powered personal assistant. I just know that I badly want one. Here's how I accidentally built one.
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I deliberately wrote this post without AI assistance so you can compare it to my AI-assisted work. Here's how the sausage is made, including when the software fixed itself mid-process.
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This blog is part of my reinvention, not away from leadership, but toward a new version of it. Adapt or die.
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