# Executive Summary **Torque Drift ($TOD)** is a blockchain racing and token-mining game that combines NFT gamification, on-chain deflationary economy, loot boxes with rarities (Common → Legendary), temporary boosts via Claim Lock, dynamic penalties for early claims (BNB + $TOD burn), and a two-level referral pyramid (2.5% / 1.5%) with VIP discount system. The whitelist system offers reduced entry fees. Garage features 5 fixed slots. The Dynamic Global Base Rate adjusts yield according to the total active hash power in the economy. **Core Elements:** * **Deflationary Economy**: Halving system inspired by Bitcoin, with controlled token emission through car mining. * **NFT Car System**: Cars function as mining nodes, converting hash power into $TOD tokens with Vintage (v1) and Modern (v2) variants. * **Loot Box Gamification**: Mystery Boxes containing random Car NFTs with varying rarities and yields. * **Claim Lock System**: Temporary yield boosts (1 day: +5%, 3 days: +10%, 7 days: +20%) with locked claims during boost period. * **Dynamic Penalties**: BNB fees and $TOD burns for early claims, ranging from 0.01 BNB (2.5% burn) to 0.05 BNB (10% burn). * **Referral Pyramid**: Two-level system (2.5% direct / 1.5% indirect) with VIP codes offering 0.01 BNB discounts per referral. * **VIP & Whitelist System**: Special codes provide entry discounts and accumulated withdrawal after 10 VIP referrals. * **Maintenance Sinks**: Car reforms burn $TOD to restore efficiency, creating deflationary pressure. * **Dynamic Global Base Rate**: Yield adjustment based on total active hash power in the ecosystem. --- # 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://torque-drift.gitbook.io/torque-drift-docs/01-executive-summary.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.