We propose an “AI Content Wallet” platform that automates payments between users and digital content creators using USDC on Arc’s blockchain. Arc is a new EVM-compatible Layer-1 chain designed for stablecoin-native finance: it uses USDC as the native gas token (so fees are low, predictable, dollar-denominated) and delivers sub-second finality on transactions. In our use case, an AI agent (running off-chain in a TypeScript/Node or Cloudflare Workers environment) analyzes the user’s interests and consumption of generative content (e.g. articles, images, videos) and automatically triggers USDC micro-payments or subscription fees on Arc to the creators. By leveraging Arc’s stablecoin infrastructure and Circle’s developer wallet SDKs, this system can process tiny payments (e.g. $0.10–$1.00) in real time, with each transaction settling in under a second. Our AI Content Wallet addresses real challenges in the creator economy. It enables direct creator monetization: artists and writers can be paid instantly and cheaply by fans worldwide, without relying on ad revenues or platform intermediaries. Because Arc’s fees are stable and tiny, even $0.10 tips become viable. The use of USDC means creators in any country receive predictable USD-denominated income. This can be especially transformative in emerging markets (e.g. across Africa) where traditional payment rails are limited – stablecoins on Arc can bridge global audiences with local creators. By combining AI and blockchain, we also deliver personalization. An AI agent tailors content suggestions and payments to each user’s tastes, automating what would otherwise be manual subscription management. This increases user engagement and content value. For example, the agent might notice a user frequently reads science fiction stories and auto-subscribe them to a new sci-fi channel, paying the monthly fee when due. Such autonomy (AI agents managing budgets and payments) is precisely the future vision of agentic finance
8 Nov 2025
Our AI agent revolutionizes Roblox avatar customization by solving the tedious, keyword-based Marketplace search. This rigid system frustrates players and costs developers sales, a missed opportunity given they earn 40% on digital item sales. Our project is a strategic solution to this, boosting engagement and revenue. By acting as a personal stylist, our agent helps players articulate their style using natural language, transforming a frustrating search into an intuitive conversation. This encourages more frequent and confident purchases, driving higher sales and player satisfaction. The technology is a dynamic multi-agent system. The process begins when a user's natural language prompt, like "Show me a cool cyberpunk outfit," is sent to an Interface Agent via the Coral Protocol. The agent uses Natural Language Processing (NLP) to break down intent and engages in a clarifying dialogue to refine the request. This back-and-forth is crucial for understanding nuanced needs, like color or price range. Once the request is clear, the agent routes the message to a specialized Roblox Catalog Agent. This agent makes calls to external APIs—including OpenAI for language processing and the Roblox Catalog API for item searches. It utilizes specific "Roblox Catalog Tools" to find items like shirts, hats, and accessories. After the items are found, the results are sent back through the Coral Protocol to the Interface Agent and then presented to the user. The intelligent system provides a real-time visual preview of the outfit on the user's avatar, allowing for instant adjustments before equipping the look in-game. This seamless, end-to-end flow from creative idea to in-game execution makes our project the future of the Roblox Marketplace. We used GPT-4, Roblox API, Prompt Engineering & Reasoning, (Not GPT Vision i could not remove it from the tech tab)
21 Sep 2025
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