Another project has emerged under the banner of no-code development, even claiming to enable people to "talk and create dApps"? The concept sounds particularly cool. Although no-code development has been a long-discussed topic, @infinityg_ai has raised $2 million in funding from institutions like Frachtis Ventures, MARBLEX, MH Ventures, Kucoin Ventures, and Animoca Brands. So, what's special about their technical solution? —— Product Hands-on Experience Sharing (as shown in the image) To be honest, I was initially skeptical about this "talk and create dApps" concept. But with a try-it-out attitude, I tested a relatively complex requirement using their Agentic IDE - building an AI Agent project analysis Dashboard. The result was surprisingly good. AI basically understood the research logic and data structure, and generated an application with modules including financing trend charts and market sentiment analysis. Although details still need adjustment, the overall framework is indeed usable. —— Rigid Demand for AI Agent No-Code Development Originally, developing a decent AI Agent required developers to master at least 7-8 technical stacks, including LLM interface calls, smart contract development, front-end frameworks, wallet integration, and multi-chain deployment. Crucially, these technologies are rapidly evolving, with extremely high learning costs. This has led to a clear supply-demand mismatch in the AI Agent market: Creative content creators and designers have numerous ideas but are stuck on technical implementation; programmers with technical capabilities can develop but often lack deep understanding of user scenarios. This gap directly limits the diversity and innovation speed of AI Agent applications. This is why "lowering development barriers" has always been the most basic service in the AI Agent track, and Infinity Ground is targeting this core pain point. —— Technical Innovation Combination Based on EVM Infinity Ground is currently primarily built on the EVM ecosystem, focusing deeply on BNB Chain, with plans to expand to full-chain support. Its core innovation lies in the design approach of Agentic IDE combined with RAG technology, which is not simply template splicing. When a user says "create a DeFi lending protocol", the system automatically retrieves the core logic from successful cases like Compound and Aave, understanding complex business scenarios such as collateral mechanisms, interest rate models, and liquidation rules, then generating smart contract code that follows best practices. This Creator Copilot combined with RAG Engine is more than just technical stacking; it's a development mode revolution. Traditional development requires programmers to first understand requirements, then convert them to code, and finally deploy and test - a lengthy chain prone to errors. Infinity Ground attempts to let users directly dialogue with AI, describing ideas to obtain runnable applications. If this interaction mode truly matures, it will significantly improve development efficiency. From existing cases, projects like Love Terminal and Jump Jennie have indeed successfully run on the platform, indicating the technical framework's initial feasibility. —— Multi-Chain and Collaborative Ecosystem Strategy Notably, Infinity Ground has a deep collaboration with Four.meme. As a renowned meme culture platform, its community influence and user base provide Infinity Ground with an important market promotion channel. Through this collaboration, ordinary users can more easily create meme-themed AI Agent applications. Additionally, the platform has conducted deep collaborations with different chains like Base and BNB Chain. BNB Chain serves as the primary focus, providing a low-cost, high-efficiency application environment. As an MVB eighth-season accelerator project, it not only receives official resource support but can also directly connect with BSC ecosystem's vast user group. In ecosystem collaboration, Infinity Ground maintains a good market and ecosystem cooperation relationship with @myshell_ai, jointly promoting the popularization and application of AI Agent development tools. No-code development has already had successful precedents in Web2, with Webflow enabling designers to directly "draw" websites and Figma making team collaboration as simple as building blocks. These platforms prove that lowering technical barriers can unleash enormous creativity. While the Web3 environment is more complex, the fundamental logic is consistent: enabling more people to participate in creation. Especially when most launchpads are focused on asset issuance narratives, it's time to shift from "issuing tokens" to "creating applications". Just like in the early Non-Fungible Token market, platform providers only managed issuance tools, but real artistic creation still depended on a few professional teams. The AI Agent track follows a similar logic. By lowering development barriers and allowing ordinary creators to "produce" AI Agent applications, we can usher in a massive UGC content creation explosion phase for AI Agents.