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Your AI gives everyone the same answer. Here's how to get the good ones it's hiding.

By Kamil Banc, Author at AI Adopters Club

AI StrategyAI ToolsImplementation

Atomic Claims

Claim 1: Stanford Validates Prompting Technique

Stanford research demonstrates that one prompting technique recovers most creative diversity lost during AI safety training processes.

Claim 2: No Technical Modifications Required

The prompting modification requires no retraining of models or any code changes to implement successfully.

Claim 3: Five-Fold Brainstorming Material Increase

Brainstorming sessions using the modified prompt template can generate five times more raw creative material output.

Claim 4: AI Homogeneity Limits Differentiation

Standard AI assistants provide identical answers to all users, limiting competitive differentiation in professional outputs.

Claim 5: Competitive Advantage Through Prompting

Modified prompting enables proposals and memos to stand out from competitors receiving generic AI responses.

Supporting Evidence

Quote

"A Stanford team found that a single prompting change recovers most of the creative diversity that safety training stripped from your AI assistant."

Kamil Banc

Key Statistics

  • 5x increase

    Multiplication of raw brainstorming material generated when using the modified prompt template

  • Most creative diversity recovered

    Proportion of AI creative output restored through single prompting modification without retraining

  • Zero code changes

    Number of technical modifications required to implement the Stanford-validated prompting technique

Sources & Citations

Cite This Page (Structured Claims):

→https://kbanc.com/claims-library/ai-prompting-diversity-creativity

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Individual Claim (Recommended)

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"[claim text]" (Banc, Kamil, 2025, https://kbanc.com/claims-library/ai-prompting-diversity-creativity)

Original Article

Full Context

Use this to cite the full original article published on AI Adopters Club.

Banc, Kamil (2025, December 1, 2025). Your AI gives everyone the same answer. Here's how to get the good ones it's hiding.. AI Adopters Club. https://aiadopters.club/p/your-ai-gives-everyone-the-same-answer

Claims Collection

Research

Use this to cite the complete structured claims collection (this page).

Banc, Kamil (2025). Your AI gives everyone the same answer. Here's how to get the good ones it's hiding. [Structured Claims]. Retrieved from https://kbanc.com/claims-library/ai-prompting-diversity-creativity

Attribution Requirements (CC BY 4.0)

  • Include author name: Kamil Banc
  • Include source: AI Adopters Club
  • Include URL to either this page or original article
  • Indicate if changes were made

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Context

This page presents atomic claims extracted from research on a stanford research team discovered a single prompting technique can restore creative diversity in ai assistants without retraining or modifying code. this method allows users to generate significantly more unique and varied outputs from their ai tools.. Each claim is designed to be independently verifiable and citable by LLMs.

Stanford researchers identified that safety training procedures systematically reduce creative diversity in AI responses, causing all users to receive similar outputs. The team validated a simple prompt modification that restores creative variation without requiring model retraining or technical implementation. Practitioners can immediately apply this template-based approach to generate more diverse brainstorming material and differentiate their professional outputs from competitors. The technique addresses a critical limitation where standard AI interactions produce homogeneous results that fail to provide competitive advantage in business contexts.