# 0xLuigi 0xLuigi (referred to herein as Luigi) bridges the gap between accessibility and technical sophistication bringing accurate and simple insights while simultaneously offering advanced tools. Its token-aware, DAG-based architecture makes it a versatile AI solution for crypto market analysis. Check out various renditions of Luigi on [Twitter](https://x.com/berryaixbt), [Telegram](https://t.me/strawberrydigest), as well as within his native [Dashboard](https://luigi.usestrawberry.ai/). * Following Luigi on X or joining the Telegram channel allows you to receive notifications via each respective app with the same ease as any other conversation. * Within Luigi's dashboard, you'll be able to see recent activity as well as reasoning logs as to how information is filtered, classified, and resulting insights. ## A Topical Description of Luigi Simply put, Luigi is an AI-powered reasoning Agent designed to analyze massive volumes of the crypto market and its underlying market data as well as social media chatter. Tirelessly working for you as a crypto-native assistant, Luigi helps to identify market trends, summarize social signals, ranks current, new, and even emerging projects based on overall sentiment and interest. Luigi is built on LangChains StateGraph, developed in TypeScript, utilizing DAG architecture for efficient processing of market data (can get really, really big over time). In doing so, optimized, real-time processing of workflows can be realized. ## Core Features Luigi can be broken down into a few overall highlights, * Data collection: Luigi reads data derived from other Agents within the StrawberryAI suite, where he then identifies opportunities or narratives that have significantly heightened sentiment values. * Analysis and Ranking: breaking down the data received, if any tokens paired with qualifying narratives are discovered (like strong positive sentiment shifts), they're noted. * Informational Looping: Luigi, between publications, reiterates these narratives constantly while taking in new information to refine suggestions or comments produced. * Output: Luigi uses Twitter and Telegram, as well as more technical descriptions via [reasoning logs](https://luigi.usestrawberry.ai/logs). --- # 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://usestrawberry.gitbook.io/strawberryai/product-suite/0xluigi.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.