# 1. Introduction #### What is GOLDI? GOLDI is the first decentralized capital burn firm, a serious, long-term DeFi project on Solana. It combines real yield generation from gold market trading with a deflationary token model designed for sustained value creation. Every transaction involving $GOLDI includes a tax that feeds into a Smart Trading Pool. This pool is managed by an **AI Algo** system trained over 5 years, which trades only gold. The profits are used to grow the ecosystem and reduce the circulating supply of $GOLDI. A project engineered by 6 senior developers , including 3 ex-Deloitte professionals , operating 6 proprietary AI algorithms focused on gold trading (XAU/USD). The system has undergone 5 years of live testing to reach this point and is fully transparent. The team has a proven track record, having led crypto projects that surpassed $50 million in market capitalization. #### The Vision To become the benchmark for self-sustaining DeFi models that don't rely on hype or constant new buyers. GOLDI is built to scale, with fundamentals based on tested systems, automation, and real economic flow. By continuously feeding the Smart Trading Pool with transaction taxes, the system increases its trading balance over time. This leads to larger trades, higher profits, and ultimately, **massive buybacks and token burns** that aggressively reduce supply and drive value for holders.\ \ \* **This GitBook may be updated at any time with new sections. All content will be kept up to date as the project evolves.** --- # 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://goldi.gitbook.io/goldi-docs/1.-introduction.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.