@jerryjliu0: From playing around with /goal It feels like there's less and less of a need to build any type of workflow manually (wh…
Summary
Jerry Liu observes that AI development is shifting from manually building workflows to specifying goals, and from prompt engineering to goal and eval engineering.
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Cached at: 06/29/26, 06:30 AM
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.
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