{
  "slug": "stop-asking-chatgpt-to-make-it-better",
  "title": "Stop Asking ChatGPT to \"Make It Better\"",
  "date": "2025-05-04",
  "featuredClaim": "Precision prompts beat vague ones: specific instructions save hours and transform generic AI outputs into exceptional results.",
  "description": "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.",
  "keyPoints": [
    "Vague prompts like \"make this better\" waste time through iterations and miss business context",
    "Daily AI users save far more hours weekly (33.5% save 4+ hours) than occasional users due to precision",
    "Eight fill-in-the-blank templates transform vague requests into precision instructions with audience, tone, and goals",
    "Specific, structured prompts consistently outperform generic instructions per a 76-page study of 1,500 papers"
  ],
  "topics": [
    {
      "id": "strategy",
      "slug": "ai-strategy",
      "label": "AI Strategy",
      "description": "Strategic planning and implementation approaches for AI adoption"
    },
    {
      "id": "tools",
      "slug": "ai-tools",
      "label": "AI Tools",
      "description": "Practical tools and platforms for AI implementation"
    },
    {
      "id": "implementation",
      "slug": "ai-implementation",
      "label": "Implementation",
      "description": "Hands-on implementation techniques and frameworks"
    }
  ],
  "claims": [
    "A 2025 St. Louis Fed study found generative AI users saved 5.4% of weekly work hours.",
    "Among daily AI users, 33.5% saved four or more hours weekly, compared to 11.5% of occasional users.",
    "The Prompt Report analyzed 1,500 academic papers on AI prompting across 76 pages.",
    "Vague prompts like 'make this better' waste time through iterations and miss business context.",
    "Filling in specific prompt details clarifies your own thinking about communication goals."
  ],
  "claimTitles": [
    "Fed Study on AI Savings",
    "Daily Users Save More",
    "Prompt Report Scale",
    "The Vague Prompt Tax",
    "Prompts Clarify Thinking"
  ],
  "originalUrl": "https://aiadopters.club/p/stop-asking-chatgpt-to-make-it-better",
  "claimProvenance": [
    "source-summary",
    "source-summary",
    "source-summary",
    "author-interpretation",
    "author-interpretation"
  ],
  "primarySources": [
    {
      "title": "Prompt Report",
      "url": "https://x.com/learnprompting/status/1800931910404784380",
      "publisher": "x.com",
      "claimIndices": [
        3
      ]
    }
  ],
  "quote": "The difference between average and exceptional AI use isn't the model. It's how specifically you instruct it.",
  "keyStatistics": [
    {
      "stat": "5.4%",
      "context": "Average share of weekly work hours saved by generative AI users, per a 2025 St. Louis Fed study"
    },
    {
      "stat": "2.2 hours",
      "context": "Weekly time savings on a 40-hour schedule equivalent to the 5.4% average savings"
    },
    {
      "stat": "33.5% vs 11.5%",
      "context": "Share of daily AI users saving four or more hours weekly versus occasional users, showing precision of use matters"
    }
  ],
  "supportingContext": "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.",
  "canonicalUrl": "https://kbanc.com/claims-library/stop-asking-chatgpt-to-make-it-better",
  "markdownUrl": "https://kbanc.com/md/claims-library/stop-asking-chatgpt-to-make-it-better.md",
  "jsonUrl": "https://kbanc.com/api/claims/stop-asking-chatgpt-to-make-it-better.json",
  "source": {
    "publisher": "AI Adopters Club",
    "title": "Stop Asking ChatGPT to \"Make It Better\"",
    "url": "https://aiadopters.club/p/stop-asking-chatgpt-to-make-it-better"
  }
}