{
  "slug": "reddit-called-openais-new-prompts-garbage-so-i-had-to-rewrite-them",
  "title": "Reddit called OpenAI's new prompts 'garbage'. So I had to rewrite them...",
  "date": "2025-10-02",
  "featuredClaim": "Generic prompts produce generic output; C.O.R.E. adds context, objective, role, and examples for sharper AI results.",
  "description": "OpenAI released Prompt Packs for various job functions, but Reddit users criticized them as generic and low quality. This article explains why copy-paste prompts fail and introduces the C.O.R.E. model (Context, Objective, Role, Examples) for creating effective, contextual prompts. It emphasizes workflow thinking, context architecture, and question layering as the real skills behind useful AI output.",
  "keyPoints": [
    "OpenAI's Prompt Packs were widely criticized for producing generic output because they lack situational context",
    "The C.O.R.E. model (Context, Objective, Role, Examples) transforms vague requests into sharp, contextual prompts",
    "Question layering forces the AI to show its work by embedding analytical, critical, and procedural thinking steps before final output",
    "Workflow thinking treats a project as one continuous conversation, preserving context across steps instead of degrading after a few messages"
  ],
  "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": [
    "OpenAI released curated Prompt Packs for sales, HR, engineering, marketing, and nine other job functions.",
    "Reddit users criticized the Prompt Packs within 48 hours as garbage, basic, and low quality.",
    "The C.O.R.E. model combines Context, Objective, Role, and Examples to transform vague requests into contextual prompts.",
    "Question layering embeds analytical, critical, and procedural thinking steps before requesting final output from the AI.",
    "Workflow thinking treats projects as one continuous conversation so each output becomes input for the next step."
  ],
  "claimTitles": [
    "OpenAI Launches Prompt Packs",
    "Reddit Criticizes Prompt Packs",
    "The C.O.R.E. Model",
    "Question Layering Technique",
    "Workflow Thinking Approach"
  ],
  "originalUrl": "https://aiadopters.club/p/reddit-called-openais-new-prompts",
  "claimProvenance": [
    "source-summary",
    "source-summary",
    "author-interpretation",
    "author-interpretation",
    "author-interpretation"
  ],
  "quote": "The real problem is not that the prompts exist. It's that they treat prompt engineering as a copy-paste exercise rather than a structured thinking discipline.",
  "keyStatistics": [
    {
      "stat": "48 hours",
      "context": "Timeframe within which Reddit users criticized OpenAI's newly released Prompt Packs"
    },
    {
      "stat": "13 job functions",
      "context": "OpenAI released curated prompt libraries covering sales, HR, engineering, marketing, and nine other functions"
    },
    {
      "stat": "14 workflow prompts",
      "context": "The author's full guide includes ready-to-use workflow prompts for strategy, marketing, product, and HR"
    },
    {
      "stat": "50 messages",
      "context": "The guide claims context engineering keeps AI conversations sharp across 50 messages instead of degrading after three"
    }
  ],
  "supportingContext": "The article responds to community backlash against OpenAI's Prompt Packs, using Reddit criticism as evidence that plug-and-play templates fail without situational context. Kamil Banc, a practitioner writing for his 'Adopter' newsletter audience, proposes the C.O.R.E. framework as a four-component alternative that grounds AI requests in business specifics like competitive positioning and sales objections. His methodology emphasizes treating AI work as a chained workflow rather than isolated tasks, with question layering forcing the model to show intermediate reasoning before final answers. For practitioners, the practical application is shifting from template collection toward understanding context architecture, demonstrated through a B2B SaaS competitive battlecard example. The claims about the framework's effectiveness are the author's practitioner judgment rather than independently validated findings.",
  "canonicalUrl": "https://kbanc.com/claims-library/reddit-called-openais-new-prompts-garbage-so-i-had-to-rewrite-them",
  "markdownUrl": "https://kbanc.com/md/claims-library/reddit-called-openais-new-prompts-garbage-so-i-had-to-rewrite-them.md",
  "jsonUrl": "https://kbanc.com/api/claims/reddit-called-openais-new-prompts-garbage-so-i-had-to-rewrite-them.json",
  "source": {
    "publisher": "AI Adopters Club",
    "title": "Reddit called OpenAI's new prompts 'garbage'. So I had to rewrite them...",
    "url": "https://aiadopters.club/p/reddit-called-openais-new-prompts"
  }
}