# Myosin Product Ecosystem As a cooperative of some of the best marketers from around the world, on the bleeding edge of tech, we are always experimenting and building new products to help service our clients and increase onchain adoption for the masses. Below are several products that we've already built and shipped. If you're interested in trying out any of the below, shoot us a DM at **** and we would be more than happy to set up a demo. Otherwise, read on for our latest priorities within the Myosin Product Ecosystem. ## Blackbeard. * IRL NFT scavenger hunts for Web 2 and web3 brands to engage and onboard new users * Progressive Web App (PWA) leveraging Magic Wallet and mobile-based geolocation to unlock and claim different collectibles for various game modes, such as winner takes all, scavenger hunt, and beyond ## Mylo (New Name TBD). * AI-powered personality bots, with localized memory and token-gating functionality, purpose-built for Discord, Telegram, and websites * Empowering any brand or project to increase community engagement & DAUs, and build more delightful experiences for their users that reward active participation with onchain tokens and offchain points ## Jeeves. * AI-powered travel concierge that helps generate bespoke itineraries, based on location, custom travel parameters, and time spent traveling * Meant to be leveraged as a B2B2C solution, Jeeves allows any hospitality brand to add value to their customers and onboard new potential users, by providing a customized itinerary upfront, that then pushes CTAs such as booking flights, hotels, and more --- # 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://whitepaper.myosin.xyz/home/building-the-future-of-marketing/myosin-product-ecosystem.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.