> For the complete documentation index, see [llms.txt](https://cerebro-3.gitbook.io/cerebro-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cerebro-3.gitbook.io/cerebro-docs/roadmap.md). # Roadmap ### Phase 1 — Inference Rewards ✅ COMPLETED Completed: * $CEREBRO launched on Pons / Robinhood Chain * NVDA paired token economy established * Holder eligibility system implemented * Automated inference credit distribution * Wallet based reward accounting * Available inference balance tracking * Historical reward tracking * Total earned and total consumed tracking * Cerebro inference dashboard launched * API credential generation * API key rotation and revocation * Inference usage tracking * Distribution leaderboard ### Phase 2 — Inference Marketplace ✅ COMPLETED Completed: * Cerebro Inference Marketplace launched * Buy inference credits * Sell unused inference credits * Custom seller pricing * Real time inference listings * Best available pricing for buyers * USDC settlement * Marketplace fee accounting * Seller proceeds estimation * Active listing management * My Listings dashboard * My Orders dashboard * Remaining credit tracking * Filled order tracking * Listing cancellation * Credit reservation logic * Balance synchronization after transactions * Order state synchronization * Transaction confirmation states * Marketplace UI improvements ### Phase 3 — Cerebro Launchpad 🔨 IN DEVELOPMENT Currently being developed: * Cerebro Launchpad architecture * Inference native project launches * Project integration with Cerebro inference infrastructure * Compute backed launch economics * Runtime inference provisioning * Project level inference accounting * API infrastructure integration * Mechanisms connecting project activity with inference demand * Developer tooling for projects launching through Cerebro --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://cerebro-3.gitbook.io/cerebro-docs/roadmap.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.