From playing around with /goal It feels like there's less and less of a need to build any type of workflow manually (whether through code, d…

From playing around with /goal It feels like there's less and less of a need to build any type of workflow manually (whether through code, drag and drop, or a prompt). Instead, specify the goal, let the model intelligence figure out the underlying steps. If the task is repeatable, then you can gather a dataset with ground-truth, and hillclimb it for increased cost / lower accuracy. To some extent this is what every non-frontier lab is optimizing for. The world is moving from prompt engineering -> goal and eval engineering.

Source: Jerry Liu (X) | 2026-06-27