A new AI benchmark called CEO-Bench asks language-model agents to run a simulated startup for 500 days, testing capabilities that short coding or customer-service tasks often miss.
The benchmark combines pricing, marketing, budgeting, uncertainty, and changing market conditions. That makes it a useful stress test for whether agents can manage messy long-horizon work rather than simply execute isolated instructions.
As agent products move into business operations, evaluations like this can expose gaps in planning, information gathering, and adaptation before companies rely on agents for real decisions.