@salesforce: Most AI agents: great at finishing tasks, terrible at telling you if any of it matters. “Loop engineering” gives an age…

Most AI agents: great at finishing tasks, terrible at telling you if any of it matters. “Loop engineering” gives an agent a goal and a way to measure progress, so it can plan, evaluate its work, learn, and adjust. When it works, an agent can complete more tasks on its own. But a task isn’t a business outcome. More closed tickets won’t tell you whether you built a better product or sold more of it. The metrics can look great while the result that matters goes unmeasured. The next frontier is aiming those loops at shared business outcomes—with sales, service, and marketing working toward the same goal instead of optimizing in separate corners. That only works if you can measure the outcome. And most companies already can. Years of pipeline stages, service levels, and lead definitions are sitting in their systems. You don’t need a new scoreboard. The business already is one. Your agents just need to learn against it.