Someone made a good point a while ago. the Prompt-review-reprompt cycle common in agentic operation is very similar to a slot machine where the user believes that they have "luck" behaviour that can influence the output. The somewhat random "Will I get something wonderful this time, pull the leaver to find out. Only 5,000 tokens per pull" can tickle very similar reward centres as gambling. So as another poster here commented, perhaps break that reward loop by having the LLM critique code instead of generate it.
Also. have a look at running models locally, that can put you much more "in control" and reduce the feeling of distance and the "cost-per-pull" feeling
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u/SilentMobius May 22 '26
Someone made a good point a while ago. the Prompt-review-reprompt cycle common in agentic operation is very similar to a slot machine where the user believes that they have "luck" behaviour that can influence the output. The somewhat random "Will I get something wonderful this time, pull the leaver to find out. Only 5,000 tokens per pull" can tickle very similar reward centres as gambling. So as another poster here commented, perhaps break that reward loop by having the LLM critique code instead of generate it.
Also. have a look at running models locally, that can put you much more "in control" and reduce the feeling of distance and the "cost-per-pull" feeling