Claims Library Entry
Stop Asking ChatGPT to "Make It Better"
This article explains why vague prompts like "make it better" waste time and produce mediocre AI outputs, and offers eight fill-in-the-blank prompt templates for precise, results-driven instructions. It cites research showing daily AI users save significantly more hours weekly, attributing the difference to prompt precision.
Published May 4, 2025 by Kamil Banc
Lead claim
Precision prompts beat vague ones: specific instructions save hours and transform generic AI outputs into exceptional results.
Atomic Claims
What this article supports
Copy individual claims as needed.
Claim 1 · Source summary
Fed Study on AI Savings
A 2025 St. Louis Fed study found generative AI users saved 5.4% of weekly work hours.
Claim 2 · Source summary
Daily Users Save More
Among daily AI users, 33.5% saved four or more hours weekly, compared to 11.5% of occasional users.
Claim 3 · Source summary
Prompt Report Scale
The Prompt Report analyzed 1,500 academic papers on AI prompting across 76 pages.
Claim 4 · Kamil's interpretation
The Vague Prompt Tax
Vague prompts like 'make this better' waste time through iterations and miss business context.
Claim 5 · Kamil's interpretation
Prompts Clarify Thinking
Filling in specific prompt details clarifies your own thinking about communication goals.
Evidence
Context behind the claims
Quote
"The difference between average and exceptional AI use isn't the model. It's how specifically you instruct it."
Key statistics
5.4%
Average share of weekly work hours saved by generative AI users, per a 2025 St. Louis Fed study
2.2 hours
Weekly time savings on a 40-hour schedule equivalent to the 5.4% average savings
33.5% vs 11.5%
Share of daily AI users saving four or more hours weekly versus occasional users, showing precision of use matters
Supporting context
The article grounds its argument in a 2025 St. Louis Fed study quantifying AI time savings and in The Prompt Report, a 76-page synthesis of 1,500 academic papers confirming that structured, specific prompts outperform vague instructions. Kamil Banc, a practitioner writing for his 'Adopter' newsletter audience, translates these findings into eight fill-in-the-blank prompt templates covering rewriting, editing, storytelling, social threads, explanations, comparisons, and outreach messages. Each template replaces a common vague request like 'make this better' with precise parameters for audience, tone, structure, and call to action. The methodology is deliberately practical: readers are told to pick one template, fill in the brackets with their own specifics, and observe the improvement in output quality. The practitioner application extends beyond AI outputs, as Banc argues the exercise of specifying details crystallizes the writer's own thinking about each communication goal.
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"[claim text]" (Banc, Kamil, 2025, https://kbanc.com/claims-library/stop-asking-chatgpt-to-make-it-better)Original Article
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Banc, Kamil (2025, May 4, 2025). Stop Asking ChatGPT to "Make It Better". AI Adopters Club. https://aiadopters.club/p/stop-asking-chatgpt-to-make-it-betterClaims Collection
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Banc, Kamil (2025). Stop Asking ChatGPT to "Make It Better" [Structured Claims]. Retrieved from https://kbanc.com/claims-library/stop-asking-chatgpt-to-make-it-betterAttribution Requirements
- Include the author name: Kamil Banc.
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