Step-by-Step Halting Techniques for Multi-Step Tasks
bigaiguy · x · 2026-07-09
The author introduces the "Step Separator" prompt technique for multi-step tasks: requiring the model to halt after completing a step, wait for confirmation, and only then proceed to the next step. This reduces the drift that occurs when an agent runs through a task all at once.
The post also shares a set of related prompt patterns, including compressing long outputs, assumption auditing, counter-arguments, and confidence thresholds, all aimed at improving the controllability and decision quality of AI outputs.
Related event: Prompting Techniques to Optimize Multi-step AI Tasks(2 posts)→
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