Claims Library Entry
Reddit called OpenAI's new prompts 'garbage'. So I had to rewrite them...
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.
Published October 2, 2025 by Kamil Banc
Lead claim
Generic prompts produce generic output; C.O.R.E. adds context, objective, role, and examples for sharper AI results.
Atomic Claims
What this article supports
Copy individual claims as needed.
Claim 1 · Source summary
OpenAI Launches Prompt Packs
OpenAI released curated Prompt Packs for sales, HR, engineering, marketing, and nine other job functions.
Claim 2 · Source summary
Reddit Criticizes Prompt Packs
Reddit users criticized the Prompt Packs within 48 hours as garbage, basic, and low quality.
Claim 3 · Kamil's interpretation
The C.O.R.E. Model
The C.O.R.E. model combines Context, Objective, Role, and Examples to transform vague requests into contextual prompts.
Claim 4 · Kamil's interpretation
Question Layering Technique
Question layering embeds analytical, critical, and procedural thinking steps before requesting final output from the AI.
Claim 5 · Kamil's interpretation
Workflow Thinking Approach
Workflow thinking treats projects as one continuous conversation so each output becomes input for the next step.
Evidence
Context behind the claims
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."
Key statistics
48 hours
Timeframe within which Reddit users criticized OpenAI's newly released Prompt Packs
13 job functions
OpenAI released curated prompt libraries covering sales, HR, engineering, marketing, and nine other functions
14 workflow prompts
The author's full guide includes ready-to-use workflow prompts for strategy, marketing, product, and HR
50 messages
The guide claims context engineering keeps AI conversations sharp across 50 messages instead of degrading after three
Supporting context
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.
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"[claim text]" (Banc, Kamil, 2025, https://kbanc.com/claims-library/reddit-called-openais-new-prompts-garbage-so-i-had-to-rewrite-them)Original Article
Use this when you want to cite the full newsletter article at AI Adopters Club rather than the structured claims page.
Banc, Kamil (2025, October 2, 2025). Reddit called OpenAI's new prompts 'garbage'. So I had to rewrite them.... AI Adopters Club. https://aiadopters.club/p/reddit-called-openais-new-promptsClaims Collection
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Banc, Kamil (2025). Reddit called OpenAI's new prompts 'garbage'. So I had to rewrite them... [Structured Claims]. Retrieved from https://kbanc.com/claims-library/reddit-called-openais-new-prompts-garbage-so-i-had-to-rewrite-themAttribution Requirements
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