To put it more straightforwardly—when AI Agents are truly integrated into trading, risk control, and automated execution, you'll realize that the biggest issue isn't the processing speed, but the fact that their actions vary each time under the same conditions. This unpredictability is a nightmare in high-frequency decision-making.

That's also why some projects adopt a "pre-locked routing" design approach. Instead of letting the Agent make free decisions in complex scenarios, it's better to predefine the decision paths and keep variables within manageable ranges. This ensures consistency in execution while avoiding risk control loopholes.

In other words, in trading scenarios that require precision, predictability > flexibility, stability > efficiency.