# Exploring P2E Play-to-earn (P2E) gaming has faced significant challenges in the web3 space, with many early projects adopting inflationary reward models that quickly led to unsustainable economies and project burnouts. These issues have highlighted the need for a more thoughtful approach to P2E—a model that balances rewards with longevity. VisionArcade is our solution to this challenge, providing a platform where we can experiment across a variety of channels, devices, and products to develop sustainable P2E ecosystems. Through VisionArcade, we’re able to explore multiple P2E avenues. From engaging mobile games that deliver quick rewards to a social platform where players compete in small, casual web games for prizes, VisionArcade’s versatility allows us to test and refine different reward structures. Our goal is to find the models that offer real value without compromising the long-term health of each game’s economy. In addition, VisionArcade includes innovative solutions like the **VisionBoy**—a portable gaming device that rewards users simply for playing. By integrating multiple gaming channels and experimenting across various reward systems, VisionArcade creates a space where we can analyze player behaviors, gauge economic sustainability, and discover new ways to make P2E engaging and rewarding without the pitfalls of inflationary practices. With VisionArcade, we’re building a foundation for a more resilient P2E landscape, committed to finding balanced and lasting methods that enrich the gaming experience for players and developers alike. --- # 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://docs.visiongame.io/visiongame-ecosystem/visionarcade/exploring-p2e.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.