Building in public is broken — Here’s how to fix your signal-to-noise ratio
Building in public promised accountability and community. It delivered content production under a different name. Most builders now spend more time documenting work than doing it, trapped in a perform
Building in public promised accountability and community. It delivered content production under a different name. Most builders now spend more time documenting work than doing it, trapped in a performance loop that optimizes for platforms instead of progress.
The agent-shaped org chart
Every real org has the same topology: principal, role-holder, specialists. Staff AI maps onto it, node for node, and the cost collapse shows up in the deliverables that were always just human-handoff overhead.
AI as staff, not software
Two frames for what AI is doing to work. The tool frame makes tools smarter. The staff frame makes roles unnecessary. Those aren't the same product, the same company, or the same industry.
Knowledge work was never work
Knowledge work was always coordination between humans who couldn't share state directly. The artifacts were never the work. They were the overhead — and AI just made the overhead optional.
The work of being available now
A book on AI, judgment, and staying human at work.
The practice of work in progress
Practical essays on how work actually gets done.
The file I almost made twice
A small operational footgun that runs everywhere — building a parallel system when the one you have is fine.
The actor doesn't get to be the verifier
The worker isn't lying. The worker is reporting what it thought it did, which is always one step removed from what the world actually shows. The fix isn't more self-honesty. The fix is a different pair of eyes.
Shopping is the last mile
Every meal planning app treats cooking as the hard problem and shopping as a logistics detail. They have it backwards. Cooking is mostly solved. Shopping is the last mile.
Why your thought leadership content pipeline is broken
The problem isn't workflow efficiency. It's that you're treating thought leadership like a manufacturing process when it's actually a translation problem.
The intelligence briefing you’re not getting
Most knowledge workers spend 45 to 90 minutes each morning manually triaging the internet. The time already exists in your day. You're just spending it on filtering instead of reading.