Recursive prompting is an interesting way of thinking, especially suitable for on-chain data analysis and smart contract verification. The basic idea is simple: generate one answer per prompt, and this answer is not the endpoint but the starting point for the next round.

Your previous output becomes the input for the next round, and so on, in a cycle. Each round refines, supplements, and corrects based on the previous one. Imagine debugging code: the first run has bugs, you fix them, then run again, gradually approaching the final goal.

In scenarios like DeFi ecosystem analysis, trading strategy iteration, and risk assessment model optimization, this method can be particularly effective. It’s not a rigid one-step solution but a continuously evolving dynamic process.