Write a personal statement answer
WritingWork & Email
Give the question and your actual strengths and experience first, so no experience gets invented.
Fill the blanks and it copies as you filled it
[Paste the question exactly as written]
- Character limit:
- A strength and something that shows it:
- When, what role, what came of it:
- Where I'm applying and for what:
- One body of text, no notes on your reasoning
- Don't invent experience or numbers I didn't give you0 of 4 blanks filled · anything left blank copies with its brackets
Ask without giving your own experience and the model will make up something plausible. Giving it the facts first is what removes the rewrite turn. Setting a length means cutting padding, not writing stiffly. For writing that needs to be roundabout — a personal statement, an email to a professor — add a line about tone. The paper also reports that specifying a length shorter than the task needs backfires, because it drives follow-up questions (a 34% increase in 11% of scenarios).
What this prompt does
Compared with asking the same thing without the length and format lines.estimate
Estimated output tokens
700
Asked loosely
320
This prompt
Energy (Wh)
1.215
Asked loosely
1.215
This prompt
Token counts are estimated from character counts, not measured. Energy uses the per-band figures measured by Jegham et al. 2025 as published.
A shorter answer, but the same energy band. The measurements are per band, and this much does not cross one.
Reported backfire — Specifying output lengthSpecifying a length longer than needed backfires (a 34% increase in 11% of scenarios)
Where these figures come from
We read the prompt to see whether it carries that instruction. The percentages below are published figures for the rule itself, not a measurement of what this prompt saves.
Assigning a role
44%mean reduction · 95% CI 29–59%
Podder et al. 2026 BP#4 · 19 use cases / 61 prompts
by modelGPT-4o 34%Command R+ 50%Mistral-7B 49%
Specifying output length
38.7%mean reduction · 95% CI 29.7–47.7%
Podder et al. 2026 BP#5 · 18 use cases / 57 prompts
by modelGPT-4o 35%Command R+ 49%Mistral-7B 32%
Reduced in every scenario. No backfire reported
Limiting it to the material given
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