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TechRadar
Eric Hal Schwartz

I told ChatGPT there was an 'extremely lazy person' here — and its answers got way better

ChatGPT.

Sometimes, ChatGPT answers feel like they're written to impress rather than help, but this small tweak to your prompts can carve a shortcut right through them.

For all its vaunted power, ChatGPT sometimes comes off as insecure and desperate to show every detail it has to hand, regardless of relevance to your actual question. My latest trick gets it to understand that you don't want to hack your way through a bramble of words.

It's simple — tell the AI, in the middle of your query, that there's an “extremely lazy person here”. It can turn an overly verbose response into something far more practical, and sometimes surprisingly clever.

Try it. It reframes the conversation and your goals, nudging the AI away from textbook thoroughness and toward the bare (though still complete) minimum.

An immediate improvement

In practice, the difference can feel immediate. Ask for help cooking pasta, and you would normally get a tidy sequence of steps that includes timing, water ratios, and reminders about seasoning.

Add the "lazy" qualifier, and suddenly you only get the basics. In this case, “boil water, add a little salt, dump pasta, stir once, taste until not crunchy, drain, eat.” It is hard to argue with the efficiency, even if it might leave a few culinary purists wincing.

The same effect shows up in more complex tasks — a request for help organizing a workday might usually deliver a plan with hourly blocks and productivity tips. With the added phrase, one version boiled it down to — “Pick three things, do them first, ignore everything else until done.”

The advice reads almost bluntly, yet it captures a truth that the longer answer has buried under layers of structure.

(Image credit: OpenAI / Future)

Lazy perfection

What makes this trick interesting is not just that it shortens responses, but that it changes their priorities. ChatGPT is trained to be complete, which the AI model often translates into a need to over explain.

By framing the user as someone unwilling to wade through details, the model starts going for clarity in a different way — it trims context, cuts disclaimers, and leans on instinct.

Of course, there are limits. Some topics benefit from depth, and stripping them down too far can remove useful nuance. The "lazy" trick works best in everyday scenarios where the goal is simply to get moving, not to master a subject.

Even so, the appeal is easy to understand — small prompt choices can steer tone, length, and even personality. This particular tweak is a reminder that the simplest instruction is sometimes the most effective.


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