Thoughts
under
pressure
Every brass gauge is a thought I've published, and its needle shows how hard my brain was working on it. The pipes show how the thoughts connect. Move over the machine to stimulate it, and click a gauge to read.
Latest thoughts
Four metrics today, outcomes on top
Most AI adoption metrics count activity: tokens, pull requests opened, lines suggested. There are four engineering metrics you already have the data for (testing, harness changes, understanding the business and review time), and outcome metrics on top of them that take real work to get.
Is the outcome the missing link?
Managed AI platforms are getting good at the how: agents, connectors, identity, guardrails. What they can't tell you is what any of it was for. A hypothesis: the missing link is the definition of an outcome, and a Work Pack is what that looks like written down.
Two ways to get unstuck
Your teams are already using harnesses they understand, and mostly that's fine. When they're stuck and nobody can agree how the work should flow, two approaches keep coming up: start from a kit with GitHub's Spec Kit, or start from a path with Anthropic's AI-native SDLC playbook and build it up yourself in Claude Code.
Four lobes
Send a
signal
Read something that set you off? Think I've got it wrong? Good. Write in. The best replies end up wired into the brain as new thoughts.
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