OpenAI reports that its heaviest Codex users generate more than sixty hours of agent work per day. Parallel agents make the arithmetic possible. The day remains twenty-four hours long.

Agent hours are easy to count. A branch that gets thrown away still contributes to the total, as does work that creates another week of fixes. The number tells us how much capacity was used without telling us what it produced.

Cheap parallel work also raises the cost of being unclear. Parallel agents can carry every plausible interpretation of a bad problem into code before I finish my coffee. They produce rework faster too.

I want to know what reached production and how much of it had to change again. Those numbers are harder to collect because rework spreads into later tickets and pull requests.

Sixty agent hours is an input. What do you think the output looks like..?