The essence of agent programming (or intuitive programming) is actually similar to many fields that require decision-making based on input to achieve goals. Whether you're trading, playing poker, or interacting with AI, the underlying logic is quite similar—you input some form of information and then receive corresponding feedback and results.

This decision-feedback cycle runs throughout the entire process. In trading, you analyze market data and technical indicators, then decide on buy or sell directions. When playing poker, you judge based on your opponent's habits and probabilities, adjusting your strategy accordingly. When using AI, you carefully craft prompts to guide the model to produce the content you want.

Although these scenarios seem different on the surface, at their core, they are all doing the same thing: processing input information, applying a decision-making mechanism, and producing the desired output. That's why people who understand trading logic can sometimes quickly get started with agent programming—the thinking framework is actually interconnected.