2 posts tagged with "deployment"

Many people first try an AI Agent as a desktop tool. That works well for experiments, coding, and one-off tasks. But once an Agent reads files, calls external systems, waits for approval, generates reports, or needs to be used repeatedly by a team, the question is no longer only whether the model is capable enough. It is where the Agent should run.

This article is not about choosing a particular model. It explains when a personal computer is sufficient, when a server-side deployment is the better fit, and why teams that depend on Agents for ongoing work usually need a long-running service.

Customers often ask how xAgent differs from WorkBuddy, QoderWork, Codex, and OpenClaw.

The wrong answer is that xAgent is stronger than all of them. These products do not solve the same problem. The useful comparison starts with who will use the product, where tasks run, whether work involves a team and business systems, and who owns the security and operational boundaries.