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Every discussion of AI governance comes back to the same, reassuring phrase. Someone worries. Every talk about AI governance comes back to the same comforting phrase. Someone worries about an autom… Read More

The most common instruction to teams building AI is also one of the most incoherent: “make sure it’s not biased.” Read More

And the sooner we admit it, the better our decisions get. Read More

I’ve read more corporate AI ethics documents than is healthy. Charters. Principles. Frameworks. Commitments. And I have come to an uncomfortable conclusion: most of them are not useful. Not wrong. … Read More

In 2024, we were obsessed with “prompt engineering,” which is the skill of getting a reactive LLM to make a better text completion. That way of thinking will be dead by 2026. We don’t talk to model… Read More

We often think that burnout shows up as anger, like when people argue in the retrospective or make snarky comments on a pull request. In fact, that’s often a sign that the team still cares enough t… Read More

We’ve all had the “refinement hangover.” At the end of a productive hour of technical debate, there are five pages of jumbled notes, scattered screenshots, and a group understanding that starts to … Read More

Starting a digital workshop can be more challenging than the technology itself. When people get to a blank Miro or Mural board, they often hesitate. They don’t want to be the first to move the curs… Read More

The Shift from Data Aggregation to Pattern Synthesis in Sprint Reporting. Read More

Planning poker was first made to help people learn, not just to make a number. Its value came from the difference in bids, like when a senior engineer bid “2” and a junior engineer bid “13.” That d… Read More