Next stop of AI Agent: From "capable of generating" to "capable of executing", X-Agent explores the automation of real-world tasks Odaily Planet Daily News: As "Vibe Coding" enables more people to generate applications in natural language, the next competition for AI agents is shifting towards more difficult questions: how to truly complete a cross platform, cross service, budget and authorization related real-world task? The latest Medium article by X-Agent, "Beyond Vibe Coding, Towards Agenetic Execution," takes "booking a trip to Tokyo" as an example and proposes an exploration direction for Agenetic Execution: users no longer need to switch back and forth between multiple pages such as flights, hotels, and payments, but instead use a single requirement to initiate tasks, which are coordinated by AI for retrieval, comparison, confirmation, and subsequent execution; Users always have access to the destination, budget, terms, and final authorization. But there is still a whole set of infrastructure challenges between "recommended solutions" and "reliable execution". Price changes, login verification, order timeouts, partial successful bookings, and other situations require the agent to be able to retain task status, identify confirmed and unconfirmed results, and pause or solicit user authorization when needed, rather than blindly retry or automatically spend. Around this direction, X-Agent proposes to split and collaborate the four capabilities of dialogue, task, execution, and event, and explore different execution paths such as WebMCP, API, MCP tools, browser automation, and Computer Use. The core principle is that tools can assist agents in taking action, but cannot bypass user permissions, budget constraints, and result verification. X-Agent states that the current article describes a product direction that is still being explored and validated, rather than a generic pre order capability that has already been launched. Its goal is to drive AI from "understanding and generating" to "completing tasks under user control", gradually making natural language a new entry point connecting real services and digital execution.