> For the complete documentation index, see [llms.txt](https://docs.gm.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.gm.ai/introduction/the-landscape.md). # The landscape In today's digital landscape, the challenges facing creators, new Web3 users and developers are multifaceted. * While the abundance of tools and platforms offers immense potential, creators often grapple with significant hurdles that impede their progress. High costs, complex interfaces, and intense competition can stifle creativity and deter individuals from pursuing their passions. * Despite the promise of Web3, the **complexities of blockchain technology** remain a barrier for many. However, amidst these challenges, a new paradigm is emerging. The inherent design of Web3 and blockchain technology emphasizes **interoperability,** contrasting sharply with the siloed nature of traditional financial systems. gmAI stands at the forefront of this paradigm shift, harnessing the power of interoperability to enable seamless interactions across various decentralized applications and protocols within the Solana ecosystem. --- # 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://docs.gm.ai/introduction/the-landscape.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.