How a Simple ‘Lazy’ Prompt Makes ChatGPT Answers More Concise
Key Points
- Inserting “extremely lazy person here” tells ChatGPT to keep answers brief.
- The model reduces extra context, steps, and disclaimers.
- Examples include a minimal pasta recipe and a simplified work‑day plan.
- The trick works best for simple, everyday tasks.
- Complex topics may lose important nuance if overly shortened.
- The finding highlights prompt wording as a tool to shape AI output.
A new prompting technique suggests inserting the phrase “extremely lazy person here” into a ChatGPT query to encourage shorter, more practical responses. The tweak nudges the model away from its default thoroughness, trimming excess detail, cutting disclaimers, and focusing on core instructions. Examples show the method producing streamlined guidance for tasks like cooking pasta and planning a workday. While the approach works well for everyday queries, it may omit nuance in topics that require depth. The finding highlights how minor prompt changes can shape AI tone, length, and personality.
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.