I saw someone building a prediction market tool using the Eliza framework, and the idea is very interesting—essentially packaging the logic of Polymarket's prediction betting into reusable code modules. As a lightweight AI application framework, Eliza can be used to drive the on-chain prediction market interaction layer and data aggregation, which can indeed improve development efficiency. This "code as model" approach is quite common in Web3, reducing the development barrier through standardized frameworks, allowing more teams to quickly deploy their own prediction platform versions. From a technical stack perspective, this is a modular attempt at building prediction market infrastructure.