Using AI in production work, the bottleneck moved from producing work to deciding what deserves to survive.
AI made a lot of my work faster.
It did not make the week feel lighter.
That gap matters, because it is where most AI adoption advice gets too optimistic. The visible cost of producing work goes down. The hidden cost of deciding whether that work is right often goes up.
After looking back at my own production work, I changed the rule:
I only hand a task to AI when there is a machine-checkable gate on the way back.
A senior AI engineer breaks down the hidden costs of shipping LLM features: edge cases, cost control, error handling, and…
AI writes the code. You make the call. I rebuilt the entire site this month around that one sentence. Here is why, and what…
For every hour an employee spends getting a useful output from artificial intelligence, they spend another hour making it usable,…
AI costs are becoming a product and engineering problem. Practical builders need budgets, model routing, context discipline, and…
We talk a lot about what AI can build. Code generation. Faster prototypes. Automated debugging....
One of the promises of AI is that it can reduce workloads so employees can focus more on higher-value and more engaging tasks.…
