Add new article(s) from aiadopters.club (#11)

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>Wed, 19 Nov 2025 00:57:08 GMT</lastBuildDate>
+    <lastBuildDate>Thu, 20 Nov 2025 00:55:57 GMT</lastBuildDate>
     <atom:link href="https://kbanc.com/feed.xml" rel="self" type="application/rss+xml"/>
 
+    <item>
+      <title>The AI Reflex: Building Intuition While Everyone Else Googles Prompt Templates</title>
+      <link>https://kbanc.com/claims-library/ai-reflex-building-intuition</link>
+      <guid>https://kbanc.com/claims-library/ai-reflex-building-intuition</guid>
+      <pubDate>Wed, 19 Nov 2025 00:00:00 GMT</pubDate>
+      <description>5 atomic claims about an article exploring how to develop an instinctive approach to using ai tools in professional settings, moving beyond simple prompt engineering. the piece argues that successful ai adoption requires building a reflexive, integrated relationship with ai technologies..</description>
+      <author>kamil@kbanc.com (Kamil Banc)</author>
+    </item>
+
     <item>
       <title>Five AI Systems That Raise Your Business Valuation</title>
       <link>https://kbanc.com/claims-library/five-ai-systems-that-raise-your-business-valuation</link>

public/sitemap.xml

@@ -2,19 +2,19 @@
 <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
   <url>
     <loc>https://kbanc.com/</loc>
-    <lastmod>2025-11-19</lastmod>
+    <lastmod>2025-11-20</lastmod>
     <changefreq>weekly</changefreq>
     <priority>1.0</priority>
   </url>
   <url>
     <loc>https://kbanc.com/claims-library</loc>
-    <lastmod>2025-11-19</lastmod>
+    <lastmod>2025-11-20</lastmod>
     <changefreq>weekly</changefreq>
     <priority>0.9</priority>
   </url>
   <url>
     <loc>https://kbanc.com/claims-library/all</loc>
-    <lastmod>2025-11-19</lastmod>
+    <lastmod>2025-11-20</lastmod>
     <changefreq>weekly</changefreq>
     <priority>0.9</priority>
   </url>
@@ -216,4 +216,10 @@
     <changefreq>monthly</changefreq>
     <priority>0.8</priority>
   </url>
+  <url>
+    <loc>https://kbanc.com/claims-library/ai-reflex-building-intuition</loc>
+    <lastmod>2025-11-19</lastmod>
+    <changefreq>monthly</changefreq>
+    <priority>0.8</priority>
+  </url>
 </urlset>

src/data/claims.ts

@@ -1255,6 +1255,44 @@ export const ALL_CLAIMS_DATA: ClaimData[] = [
     ],
     infographics: [],
     supportingContext: "The framework draws from Roy Redd\'s experience buying six businesses and analyzes data from BizBuySell, McKinsey research on AI, and SHRM workplace studies. The methodology implements five specific AI system upgrades across process documentation, financial management, customer support, hiring automation, and strategic positioning. Each system addresses a specific buyer risk factor with measurable valuation impacts ranging from +0.2x to +0.7x multiple improvements. The 90-day implementation timeline is based on deploying commercially available tools like Scribe, Datarails, Intercom AI, Ashby, and Gamma. The approach focuses on systematic risk reduction rather than revenue growth to achieve cumulative valuation lifts of 1.0x to 1.5x for businesses in the \$1-5M revenue range.",
+  },
+  {
+    slug: "ai-reflex-building-intuition",
+    title: "The AI Reflex: Building Intuition While Everyone Else Googles Prompt Templates",
+    date: "2025-11-19",
+    featuredClaim: "AI expertise emerges from building reflexive interaction patterns, not collecting prompt templates or tactics",
+    description: "An article exploring how to develop an instinctive approach to using AI tools in professional settings, moving beyond simple prompt engineering. The piece argues that successful AI adoption requires building a reflexive, integrated relationship with AI technologies.",
+    keyPoints: [
+      "Treat AI as an always-available co-thinker, not just a task-completion tool",
+      "Reduce friction in AI interactions by making access instantaneous and intuitive",
+      "Use AI for meta-cognitive processes like emotional intelligence and blind spot detection",
+      "Develop a flexible, exploratory approach to AI rather than seeking perfect prompts"
+    ],
+    topics: [TOPICS.STRATEGY, TOPICS.TOOLS, TOPICS.IMPLEMENTATION],
+    claims: [
+      "Instantaneous AI access through pinned tabs and hotkeys creates competitive advantage over colleagues with friction barriers.",
+      "Voice mode enables complex thought articulation in two minutes versus ten minutes required for typing equivalents.",
+      "Using AI as Socratic interviewer reveals solutions through structured questioning rather than direct answer provision.",
+      "Multimodal vision capabilities allow instant debugging of physical errors, contracts, and spreadsheets through photo analysis.",
+      "Converting panic dumps into prioritized action plans transforms psychological overwhelm into structured executable project workflows."
+    ],
+    claimTitles: [
+      "Friction Removal Creates Advantage",
+      "Voice Accelerates Thought Processing",
+      "Questions Unlock Internal Expertise",
+      "Vision Debugs Physical Reality",
+      "Structure Emerges From Chaos"
+    ],
+    originalUrl: "https://aiadopters.club/p/building-the-ai-reflex",
+    quote: "Don\'t optimize for the perfect prompt. Optimize for the fastest loop between problem and progress.",
+    keyStatistics: [
+      { stat: "3 hours per week", context: "Extra processing time gained by using voice mode AI during commutes and dead time between activities" },
+      { stat: "150 hours per year", context: "Annual thinking advantage accumulated from daily commute AI conversations versus desk-bound colleagues" },
+      { stat: "2 seconds maximum", context: "Required access time threshold for AI to function as reflexive tool rather than deliberate action" },
+      { stat: "18 months behind", context: "Time lag for professionals still seeking approval versus those building AI reflexes today" }
+    ],
+    infographics: [],
+    supportingContext: "The methodology advocates embedding AI into continuous workflow through four progressive levels: friction removal through always-available access, co-thinking loops that preserve human expertise while eliminating grunt work, multimodal debugging for real-world problem solving, and psychological survival applications. Implementation focuses on behavioral conditioning rather than technical mastery—practitioners develop reflexive AI consultation patterns for every cognitive friction point encountered. The approach emphasizes speed of iteration over prompt perfection, positioning AI as cognitive enhancement infrastructure rather than specialized task tool. Success metrics center on experiential indicators: feeling impaired without access, valuing conversational process over outputs, and reflexively engaging AI before conscious problem analysis.",
   }
 ];