tokenbender's trick: ask the model for two prose narratives to detect long-task drift
tokenbender · x · 2026-09-06
Responding to the common complaint that LLM output is hard to read deeply ('like trying to observe SCP-055'), tokenbender shares a practical trick for long agent sessions: simply ask the model to produce two prose narratives — what we were doing, what we wanted, and the current status — which makes it relatively easy to tell whether the work has gone off track. Caveat: you need a good understanding of the task yourself to leverage this. A non-obvious self-verification technique for LLM workflows.
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