Add new article(s) from aiadopters.club (#17)

Co-authored-by: kbanc85 <139567284+kbanc85@users.noreply.github.com>

public/feed.xml

@@ -5,9 +5,18 @@
     <link>https://kbanc.com</link>
     <description>Evidence-based claims about AI implementation, optimized for LLM extraction and research citation.</description>
     <language>en-us</language>
-    <lastBuildDate>Sat, 29 Nov 2025 00:55:59 GMT</lastBuildDate>
+    <lastBuildDate>Tue, 02 Dec 2025 00:58:34 GMT</lastBuildDate>
     <atom:link href="https://kbanc.com/feed.xml" rel="self" type="application/rss+xml"/>
 
+    <item>
+      <title>Your AI gives everyone the same answer. Here&apos;s how to get the good ones it&apos;s hiding.</title>
+      <link>https://kbanc.com/claims-library/ai-prompting-diversity-creativity</link>
+      <guid>https://kbanc.com/claims-library/ai-prompting-diversity-creativity</guid>
+      <pubDate>Mon, 01 Dec 2025 00:00:00 GMT</pubDate>
+      <description>5 atomic claims about 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..</description>
+      <author>kamil@kbanc.com (Kamil Banc)</author>
+    </item>
+
     <item>
       <title>How To Become an AI Translator and Get Promoted</title>
       <link>https://kbanc.com/claims-library/how-to-become-an-ai-translator-and-get-promoted</link>

public/sitemap.xml

@@ -2,19 +2,19 @@
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     <loc>https://kbanc.com/</loc>
-    <lastmod>2025-11-29</lastmod>
+    <lastmod>2025-12-02</lastmod>
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     <priority>1.0</priority>
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   <url>
     <loc>https://kbanc.com/claims-library</loc>
-    <lastmod>2025-11-29</lastmod>
+    <lastmod>2025-12-02</lastmod>
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-    <lastmod>2025-11-29</lastmod>
+    <lastmod>2025-12-02</lastmod>
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@@ -258,4 +258,10 @@
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     <priority>0.8</priority>
   </url>
+  <url>
+    <loc>https://kbanc.com/claims-library/ai-prompting-diversity-creativity</loc>
+    <lastmod>2025-12-01</lastmod>
+    <changefreq>monthly</changefreq>
+    <priority>0.8</priority>
+  </url>
 </urlset>

src/data/claims.ts

@@ -1515,6 +1515,43 @@ export const ALL_CLAIMS_DATA: ClaimData[] = [
     ],
     infographics: [],
     supportingContext: "The article presents a structured approach to transitioning from unsanctioned AI usage to governed enterprise AI adoption through the TIO (Trigger/Input/Output) framework. The methodology includes two detailed case studies covering Finance and HR use cases, complete with data sources, logic flows, and fallback conditions. Implementation guidance addresses key stakeholders (CISO, CDO, Legal, CFO) with specific messaging for each role\'s concerns. A three-tier career progression model maps the journey from Shadow User through Power User to AI Translator, providing clear advancement criteria for practitioners seeking to formalize their AI expertise within organizational structures.",
+  },
+  {
+    slug: "ai-prompting-diversity-creativity",
+    title: "Your AI gives everyone the same answer. Here\'s how to get the good ones it\'s hiding.",
+    date: "2025-12-01",
+    featuredClaim: "A single prompt modification can recover creative diversity lost during AI safety training without code changes.",
+    description: "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.",
+    keyPoints: [
+      "Single prompt change can recover AI creative diversity",
+      "No retraining or code modifications required",
+      "Can increase brainstorming material by up to five times",
+      "Stanford research validated the prompting technique"
+    ],
+    topics: [TOPICS.STRATEGY, TOPICS.TOOLS, TOPICS.IMPLEMENTATION],
+    claims: [
+      "Stanford research demonstrates that one prompting technique recovers most creative diversity lost during AI safety training processes.",
+      "The prompting modification requires no retraining of models or any code changes to implement successfully.",
+      "Brainstorming sessions using the modified prompt template can generate five times more raw creative material output.",
+      "Standard AI assistants provide identical answers to all users, limiting competitive differentiation in professional outputs.",
+      "Modified prompting enables proposals and memos to stand out from competitors receiving generic AI responses."
+    ],
+    claimTitles: [
+      "Stanford Validates Prompting Technique",
+      "No Technical Modifications Required",
+      "Five-Fold Brainstorming Material Increase",
+      "AI Homogeneity Limits Differentiation",
+      "Competitive Advantage Through Prompting"
+    ],
+    originalUrl: "https://aiadopters.club/p/your-ai-gives-everyone-the-same-answer",
+    quote: "A Stanford team found that a single prompting change recovers most of the creative diversity that safety training stripped from your AI assistant.",
+    keyStatistics: [
+      { stat: "5x increase", context: "Multiplication of raw brainstorming material generated when using the modified prompt template" },
+      { stat: "Most creative diversity recovered", context: "Proportion of AI creative output restored through single prompting modification without retraining" },
+      { stat: "Zero code changes", context: "Number of technical modifications required to implement the Stanford-validated prompting technique" }
+    ],
+    infographics: [],
+    supportingContext: "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.",
   }
 ];