agent-integrated software

When you put an AI agent inside an existing program, you get a coordination problem: the user can change goals or data mid-task, so the agent's isolated actions may no longer match intent. Some propose a pattern where the app core and agent are combined with explicit contracts for authority and task bindings. Others let the agent fill unfinished "code holes" at runtime, or give it structured observations and semantic actions instead of fragile screenshots and clicks.

Across these views, the common thread is that agents cannot just be bolted onto software. They need a disciplined interface, whether that means formal interaction agreements, a structured action layer, or a runtime harness that lets the agent synthesize missing pieces. The goal is to make human, agent, and application cooperate as one evolving system.