This is the year of AI agent. I might not have posted it here last year, but I sure know it's the natural extension after GenAI. However, what I wasn't expecting is the amazing acceleration of harness from theory to real adoption. OpenClaw, Hermes Agent, Codex, Claude Code, Grok CLI, Google Antigravity, DeepSeek harness, Pi, and more. The trend toward separating the model (the reasoning engine) from the harness (the runtime scaffolding) has changed how AI software is built. With the harness controls the execution loops, tool definitions, context management, and token efficiency, it's important to evaluate the right harness which often dictates the success rate and execution cost far more than changing the underlying model. Big corporate will stay with closed model and harness, similar to how Windows OS or Mac is the safer route instead of running Linux. But with all these open model and harness, it will be a game changer as it will highly disruptive on even replacing the OS itself. Think about it, most of the work can actually be done through a browser now. There is no reason to not have a highly customized industry/business related OS/AI that easily connects to all necessary departments. Turning any of these harness with agents and adding human in the loop will be the best streamlined workflow and ultrafast execution. The question now is - how soon will this happen?