# How Does It Work? #### Data Entry: * Live and historical data from sports events are integrated. #### Model Participation: * Developers connect their AI prediction models to Tacmind. * Models predict match outcomes. #### On-Chain Evaluation: * Once the match is complete, the model's prediction is compared with the actual outcome. * Accuracy score is calculated on-chain #### Reward & Ranking: * Models with the highest accuracy are rewarded with $TACMIND tokens. * Failing models are not excluded from the system, but their weight is reduced. * There is no penalty; rewards are given only for success. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://tacmind.gitbook.io/tacmind-docs/presentation/how-does-it-work.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.