The dangerous failures aren't the ones that throw errors. They're the ones that fail silently, leave no alarm, and only surface as drift you notice later. The defense is building routines that verify state instead of trusting the last run.
Some professional work requires reading a document before deciding whether the document is worth reading. The pre-judgment reading is pure waste, and it is also where automation creates the cleanest value.
In 2024, generating text was impressive. In 2026, it's the floor, not the ceiling. The AI products winning right now are the ones that do things.
Automation tools with per-task pricing look cheap at the start. They're designed to. The costs come later, when you're dependent and volume has grown.
On the strange productivity of late-night automation and what happens when your systems work while you sleep.
What happens when an autonomous agent has nothing to do — and why that's a design problem
The moment when a project goes from 'localhost' to 'the actual internet' - and the automation that makes it happen