Background

ChatGPT is designed to provide complete answers, which often results in verbose explanations that include extensive context, step‑by‑step details, and precautionary notes. Users sometimes find this level of detail unnecessary for simple tasks.

The ‘Lazy’ Prompt Trick

By inserting the phrase “extremely lazy person here” into a query, users signal to the model that they prefer the bare minimum needed to accomplish the task. The AI responds by cutting back on extra context, removing redundant steps, and delivering a stripped‑down version of the answer.

Practical Examples

When asked for a pasta‑cooking guide, a typical response lists water ratios, timing, seasoning tips, and safety warnings. With the lazy qualifier, the answer reduces to the essentials: boil water, add a pinch of salt, drop the pasta, stir once, taste, drain, and eat.

For a work‑day planning request, the standard reply might include hourly blocks, productivity methods, and break schedules. The modified prompt yields a simple plan: pick three tasks, tackle them first, and ignore everything else until they’re done.

Why It Works

ChatGPT’s training emphasizes completeness, which it interprets as thoroughness. When the user frames themselves as unwilling to wade through detail, the model re‑prioritizes clarity by trimming context, dropping disclaimers, and relying on instinctive guidance.

Limitations

The technique is most effective for everyday, low‑stakes tasks. In domains that require nuance, depth, or precise technical information, overly concise answers may omit critical details.

Implications

This observation underscores the power of prompt engineering. Small adjustments to wording can influence the AI’s tone, length, and even personality, offering users a simple way to tailor responses without changing underlying model behavior.

Used: News Factory APP - news discovery and automation - ChatGPT for Business