ChatGPT is moving beyond one-off tasks with workspace agents designed for repeatable workflows. Unlike traditional chat, which excels at brainstorming and exploratory writing, these agents handle structured, recurring processes that depend on timing, accuracy, and integration with external tools. Think of them as smart assistants that follow instructions, use specialized skills, and connect to systems your team already uses—without you having to re-explain the steps each time. The key difference from old-school API workflows? These agents are probabilistic, not deterministic. They interpret context, make bounded decisions, and adapt their approach within set guardrails. To build one effectively, break down the task like you would when training a human: define responsibilities, triggers, stopping points, allowed tools, and rules. Common patterns include time-based or event-driven processes that produce consistent outputs. Why it matters: This marks a shift from AI as a toy for occasional help to a reliable teammate for everyday business operations, making automation more accessible to non-developers.