A Computer Use Agent（CUA） can reliably automate any GUI-driven workflow that a human could complete with visual input and a mouse/keyboard. Common tasks include logging into applications, navigating menus, filling in forms, exporting data, copying information between tools, running reports, moving files, and interacting with dashboards. Because CUAs use pixel-level interpretation, they can automate software that lacks automation APIs or scripting support. This makes them effective for legacy systems, proprietary interfaces, and SaaS platforms with inconsistent automation capabilities.
The reliability of a CUA comes from its ability to verify each step. After clicking a button, it checks that the expected change occurs—such as a new panel opening or a window updating. If something unexpected appears, the CUA adapts by selecting alternate UI elements or retrying an action. For workflows with long sequences or multiple branching steps, CUAs can keep track of progress using visual cues, text recognition, or previously learned layout patterns. This adaptability allows CUAs to perform tasks that break easily in traditional automation tools relying on coordinates or fragile selectors.
Developers can extend reliability further by combining the CUA with semantic retrieval using a vector database such as Milvus or Zilliz Cloud. When automating complex enterprise tools—especially those with dynamic layouts—the CUA can retrieve embeddings of known screens or dialog states to make better decisions. For example, if an application changes its button labels or layout slightly, the CUA can still identify the correct region by matching semantic embeddings. This retrieval-based approach makes CUAs viable for long-term automation that stays stable even as GUIs evolve.