Add new article(s) from aiadopters.club (#24)

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>Tue, 09 Dec 2025 00:58:29 GMT</lastBuildDate>
+    <lastBuildDate>Wed, 10 Dec 2025 00:59:51 GMT</lastBuildDate>
     <atom:link href="https://kbanc.com/feed.xml" rel="self" type="application/rss+xml"/>
 
+    <item>
+      <title>Build Your Human API: Why Domain Expertise Alone Won&apos;t Make You Good at AI</title>
+      <link>https://kbanc.com/claims-library/build-your-human-api-why-domain-expertise-alone-wont-make-you-good-at-ai</link>
+      <guid>https://kbanc.com/claims-library/build-your-human-api-why-domain-expertise-alone-wont-make-you-good-at-ai</guid>
+      <pubDate>Tue, 09 Dec 2025 00:00:00 GMT</pubDate>
+      <description>5 atomic claims about research reveals that working effectively with ai is a distinct skill, separate from domain expertise. ability to collaborate with ai does not automatically correlate with professional experience or intelligence..</description>
+      <author>kamil@kbanc.com (Kamil Banc)</author>
+    </item>
+
     <item>
       <title>A Better Way to Design Employee Training with AI</title>
       <link>https://kbanc.com/claims-library/better-way-to-design-employee-training-with-ai</link>

public/sitemap.xml

@@ -2,19 +2,19 @@
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   <url>
     <loc>https://kbanc.com/</loc>
-    <lastmod>2025-12-09</lastmod>
+    <lastmod>2025-12-10</lastmod>
     <changefreq>weekly</changefreq>
     <priority>1.0</priority>
   </url>
   <url>
     <loc>https://kbanc.com/claims-library</loc>
-    <lastmod>2025-12-09</lastmod>
+    <lastmod>2025-12-10</lastmod>
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     <priority>0.9</priority>
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   <url>
     <loc>https://kbanc.com/claims-library/all</loc>
-    <lastmod>2025-12-09</lastmod>
+    <lastmod>2025-12-10</lastmod>
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     <priority>0.9</priority>
   </url>
@@ -300,4 +300,10 @@
     <changefreq>monthly</changefreq>
     <priority>0.8</priority>
   </url>
+  <url>
+    <loc>https://kbanc.com/claims-library/build-your-human-api-why-domain-expertise-alone-wont-make-you-good-at-ai</loc>
+    <lastmod>2025-12-09</lastmod>
+    <changefreq>monthly</changefreq>
+    <priority>0.8</priority>
+  </url>
 </urlset>

src/data/claims.ts

@@ -1773,6 +1773,43 @@ export const ALL_CLAIMS_DATA: ClaimData[] = [
     ],
     infographics: [],
     supportingContext: "The methodology contrasts elaborate, multi-step AI mega-prompts with focused, learning science-based prompting strategies. Training designers facing time and budget constraints typically resort to complex prompt templates that produce generic, unusable content. The proposed approach uses four targeted prompts that embed instructional design principles directly, eliminating the need for formal training background. Practitioners can apply these prompts across diverse skill domains including technical, communication, and leadership development to generate actionable training materials.",
+  },
+  {
+    slug: "build-your-human-api-why-domain-expertise-alone-wont-make-you-good-at-ai",
+    title: "Build Your Human API: Why Domain Expertise Alone Won\'t Make You Good at AI",
+    date: "2025-12-09",
+    featuredClaim: "AI collaboration is a distinct skill independent from domain expertise or job performance ability.",
+    description: "Research reveals that working effectively with AI is a distinct skill, separate from domain expertise. Ability to collaborate with AI does not automatically correlate with professional experience or intelligence.",
+    keyPoints: [
+      "AI collaboration is a measurable skill independent of professional competence",
+      "Years of experience and expertise do not predict AI interaction effectiveness",
+      "Some average performers significantly improved with AI assistance",
+      "AI synergy requires specific collaborative skills"
+    ],
+    topics: [TOPICS.STRATEGY, TOPICS.TOOLS, TOPICS.MEASUREMENT],
+    claims: [
+      "Research with 667 participants found AI collaboration ability is completely separate from job performance skills.",
+      "Domain expertise and years of experience do not predict who will benefit most from AI assistance.",
+      "Some average performers achieved huge improvements with AI while top performers saw minimal gains from collaboration.",
+      "Being good at a task does not automatically make someone effective at getting help from AI.",
+      "Advanced degrees and deep expertise failed to predict effectiveness in collaborating with AI assistants successfully."
+    ],
+    claimTitles: [
+      "AI Collaboration Is Separate Skill",
+      "Expertise Doesn\'t Predict AI Success",
+      "Average Performers Sometimes Excel",
+      "Task Mastery Doesn\'t Guarantee AI Synergy",
+      "Credentials Don\'t Predict AI Effectiveness"
+    ],
+    originalUrl: "https://aiadopters.club/p/build-your-human-api",
+    quote: "The people who got results weren\'t smarter. They were doing something different.",
+    keyStatistics: [
+      { stat: "667 participants tested", context: "Study size measuring AI collaboration as separate skill from problem-solving ability" },
+      { stat: "Two-phase testing protocol", context: "Participants answered questions alone first, then with ChatGPT or AI assistant helping" },
+      { stat: "Zero correlation", context: "Being good at tasks showed no predictive relationship with AI collaboration effectiveness" }
+    ],
+    infographics: [],
+    supportingContext: "Researchers from Northeastern University and UCL conducted a controlled study where 667 participants completed tasks independently before attempting similar tasks with AI assistance like ChatGPT. The methodology tracked individual performance improvements to isolate AI collaboration skill from baseline competence. The findings revealed that traditional markers of professional success—experience, credentials, and domain mastery—failed to predict who would effectively leverage AI tools. For practitioners, this suggests the need to develop specific AI interaction skills through deliberate practice rather than assuming existing expertise transfers automatically to AI-augmented workflows.",
   }
 ];