Implement centralized claims data system - automatic updates
- Created centralized data file (src/data/claims.ts) as single source of truth - All components now auto-populate from centralized data - Reduced new claims page creation from 4 manual steps to 2 - Homepage, search page, comprehensive index, and topics all update automatically - Added documentation (ADDING_NEW_CLAIMS.md) for adding new pages - Claim counts and article counts now calculated dynamically - Topics automatically assigned from centralized data
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# How to Add a New Claims Page
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This guide explains how to add a new claims page to the site. Thanks to the centralized data system, you only need to update **TWO files** instead of four.
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## Step 1: Add to Centralized Data
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Open `/src/data/claims.ts` and add your new entry to the `ALL_CLAIMS_DATA` array:
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```typescript
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export const ALL_CLAIMS_DATA: ClaimData[] = [
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// ... existing claims
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{
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slug: "your-new-article-slug",
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title: "Your Article Title",
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date: "2025-11-05",
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featuredClaim: "The one-sentence summary that appears on homepage",
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description: "Short description for the grid view",
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keyPoints: [
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"First key point",
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"Second key point",
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"Third key point",
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],
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topics: [TOPICS.STRATEGY, TOPICS.TOOLS], // Choose relevant topics
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claims: [
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"First atomic claim with evidence",
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"Second atomic claim with evidence",
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"Third atomic claim with evidence",
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"Fourth atomic claim with evidence",
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"Fifth atomic claim with evidence",
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],
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originalUrl: "https://aiadopters.club/p/your-article",
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},
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];
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```
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### Available Topics
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Choose from these topic categories:
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- `TOPICS.STRATEGY` - AI Strategy
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- `TOPICS.TOOLS` - AI Tools
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- `TOPICS.BUSINESS` - Business Applications
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- `TOPICS.IMPLEMENTATION` - Implementation
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- `TOPICS.MEASUREMENT` - ROI & Measurement
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You can assign multiple topics to each article.
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## Step 2: Create the Individual Claims Page
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Create a new file at `/src/app/claims-library/your-new-article-slug/page.tsx`:
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```typescript
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import type { Metadata } from "next";
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import { getTopicsForArticle } from "@/lib/topics";
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import Link from "next/link";
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import { ArrowLeft, Linkedin, Youtube, Download } from "lucide-react";
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import { CopyButton } from "@/components/CopyButton";
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import { HowToCite } from "@/components/HowToCite";
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export const metadata: Metadata = {
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title: "Your Article Title | Kamil Banc",
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description: "Your article description with 5 claims summary",
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authors: [{ name: "Kamil Banc" }],
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openGraph: {
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title: "Your Article Title",
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description: "Your article description",
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url: "https://kbanc.com/claims-library/your-new-article-slug",
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type: "article",
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},
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twitter: {
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card: "summary",
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title: "Your Article Title",
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description: "Your article description",
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},
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alternates: {
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canonical: "https://kbanc.com/claims-library/your-new-article-slug",
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},
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};
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// JSON-LD schema for SEO
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const jsonLd = {
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"@context": "https://schema.org",
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"@type": "Article",
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headline: "Your Article Title",
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author: {
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"@type": "Person",
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name: "Kamil Banc",
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jobTitle: "Author",
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affiliation: {
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"@type": "Organization",
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name: "AI Adopters Club",
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url: "https://aiadopters.club",
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},
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},
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datePublished: "2025-11-05",
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dateModified: "2025-11-05",
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publisher: {
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"@type": "Organization",
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name: "AI Adopters Club",
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url: "https://aiadopters.club",
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},
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description: "Your article description",
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};
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export default function YourArticleClaim() {
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return (
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<>
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<script
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type="application/ld+json"
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dangerouslySetInnerHTML={{ __html: JSON.stringify(jsonLd) }}
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/>
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<div className="min-h-screen bg-background">
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<header className="bg-muted border-b-2 border-border py-8 mb-12">
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<div className="container max-w-3xl mx-auto px-6">
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<Link
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href="/claims-library"
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className="inline-flex items-center text-sm text-primary hover:underline mb-4"
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>
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<ArrowLeft className="mr-2 h-4 w-4" />
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Back to Claims Library
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</Link>
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<h1 className="text-4xl font-bold mb-2 text-foreground">
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Your Article Title
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</h1>
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<div className="flex items-center gap-3">
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<p className="text-muted-foreground">
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By{" "}
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<a
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href="https://aiadopters.club"
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target="_blank"
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rel="noopener noreferrer"
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className="text-primary hover:underline"
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>
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Kamil Banc
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</a>
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, Author at AI Adopters Club
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</p>
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<a
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href="https://www.linkedin.com/in/kbanc/"
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target="_blank"
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rel="noopener noreferrer"
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className="text-primary hover:text-primary/80 transition-colors"
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aria-label="LinkedIn Profile"
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>
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<Linkedin className="h-5 w-5" />
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</a>
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<a
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href="https://www.youtube.com/@adaptandcreate"
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target="_blank"
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rel="noopener noreferrer"
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className="text-primary hover:text-primary/80 transition-colors"
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aria-label="YouTube Channel"
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>
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<Youtube className="h-5 w-5" />
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</a>
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</div>
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</div>
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</header>
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<main className="container max-w-3xl mx-auto px-6 pb-12">
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{/* Topic Tags */}
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<section className="mb-8 -mt-4">
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<div className="flex flex-wrap gap-2">
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{getTopicsForArticle("your-new-article-slug").map((topic) => (
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<span
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key={topic.id}
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className={`px-3 py-1 rounded-full text-sm font-medium ${topic.color}`}
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>
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{topic.label}
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</span>
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))}
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</div>
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</section>
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{/* Claims Section */}
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<section className="mb-12">
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<h2 className="text-3xl font-semibold mb-6 mt-12">Atomic Claims</h2>
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{/* Repeat for each claim */}
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<article className="bg-muted border border-border border-l-4 border-l-accent rounded-lg p-6 mb-6 transition-transform hover:translate-y-[-2px] hover:shadow-md">
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<div className="flex justify-between items-start gap-4">
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<div className="flex-1">
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<h3 className="text-lg font-semibold mb-3">
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<span className="text-accent">Claim 1:</span> Short claim title
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</h3>
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<p className="text-lg font-medium leading-relaxed text-foreground">
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Full claim text with evidence and context
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</p>
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</div>
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<CopyButton
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text={`"Full claim text with evidence and context" (Banc, Kamil, 2025, https://kbanc.com/claims-library/your-new-article-slug)`}
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size="md"
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/>
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</div>
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</article>
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</section>
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{/* Supporting Evidence Section */}
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<section className="mb-12">
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<h2 className="text-3xl font-semibold mb-6 mt-12">Supporting Evidence</h2>
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<div className="bg-card border border-border rounded-lg p-6 mb-6">
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<h3 className="text-lg font-semibold mb-3">Quote</h3>
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<blockquote className="italic text-lg leading-relaxed text-foreground border-l-4 border-l-accent pl-6 my-6">
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<p>"Your key quote here"</p>
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<cite className="block not-italic text-sm text-muted-foreground mt-4">
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Kamil Banc
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</cite>
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</blockquote>
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</div>
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<div className="bg-card border border-border rounded-lg p-6 mb-6">
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<h3 className="text-lg font-semibold mb-3">Key Statistics</h3>
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<ul className="space-y-3">
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<li className="p-3 bg-muted rounded-lg">
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<p className="text-lg font-semibold text-accent">Stat 1</p>
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<p className="text-sm text-muted-foreground">Context</p>
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</li>
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</ul>
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</div>
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<div className="bg-card border border-border rounded-lg p-6 mb-6">
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<h3 className="text-lg font-semibold mb-3">Sources & Citations</h3>
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<div className="space-y-4">
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<div>
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<p className="text-sm font-semibold text-muted-foreground mb-2">Original Article (Full Context):</p>
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<div className="flex items-center gap-2 pl-6 relative">
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<span className="absolute left-0 text-accent font-bold">→</span>
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<a
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href="https://aiadopters.club/p/your-article"
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target="_blank"
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rel="noopener"
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className="text-foreground hover:text-accent hover:underline transition-colors"
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>
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Your Article Title (AI Adopters Club)
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</a>
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<CopyButton
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text="https://aiadopters.club/p/your-article"
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label=""
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size="sm"
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/>
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</div>
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</div>
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<div>
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<p className="text-sm font-semibold text-muted-foreground mb-2">Cite This Page (Structured Claims):</p>
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<div className="flex items-center gap-2 pl-6 relative">
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<span className="absolute left-0 text-accent font-bold">→</span>
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<code className="text-sm bg-muted px-2 py-1 rounded">
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https://kbanc.com/claims-library/your-new-article-slug
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</code>
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<CopyButton
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text="https://kbanc.com/claims-library/your-new-article-slug"
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label=""
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size="sm"
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/>
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</div>
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</div>
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</div>
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</div>
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</section>
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<HowToCite
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articleTitle="Your Article Title"
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articleSlug="your-new-article-slug"
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articleDate="2025-11-05"
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originalUrl="https://aiadopters.club/p/your-article"
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/>
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{/* Download Section */}
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<section className="bg-muted border-2 border-accent rounded-lg p-8 mb-12 text-center">
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<h2 className="text-2xl font-semibold mb-4">Download Data</h2>
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<p className="mb-6">Access structured claim data in CSV format:</p>
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<a href="/assets/your-article-claims.csv" download>
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<button className="inline-flex items-center justify-center gap-2 whitespace-nowrap rounded-md text-sm font-medium h-10 px-4 py-2 bg-accent hover:bg-accent/90 text-accent-foreground">
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<Download className="mr-2 h-4 w-4" />
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Download Claims Data (CSV)
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</button>
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</a>
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</section>
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{/* Context Section */}
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<section className="bg-muted rounded-lg p-8 mb-12">
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<h2 className="text-2xl font-semibold mb-4">Context</h2>
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<p className="mb-4 text-foreground">
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This page presents atomic claims extracted from research on [your topic].
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Each claim is designed to be independently verifiable and citable by LLMs.
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</p>
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<p className="text-foreground">
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Additional context about the methodology and applications.
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</p>
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</section>
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</main>
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<footer className="bg-muted border-t-2 border-border py-8 mt-12 text-center">
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<div className="container max-w-3xl mx-auto px-6">
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<p className="mb-2 text-sm text-muted-foreground">
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Content licensed under{" "}
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<a
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href="https://creativecommons.org/licenses/by/4.0/"
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target="_blank"
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rel="noopener"
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className="text-primary hover:underline"
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>
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CC BY 4.0
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</a>
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</p>
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<p className="text-sm text-muted-foreground">
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Source:{" "}
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<a
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href="https://aiadopters.club"
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target="_blank"
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rel="noopener"
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className="text-primary hover:underline"
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>
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AI Adopters Club
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</a>{" "}
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by Kamil Banc
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</p>
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<p className="mt-4 text-sm text-muted-foreground">
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<a
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href="https://aiadopters.club/p/work-with-kamil"
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target="_blank"
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rel="noopener"
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className="text-accent hover:text-accent/80 transition-colors"
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>
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Need help with AI integration? → Work with Kamil
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</a>
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</p>
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</div>
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</footer>
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</div>
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</>
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);
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}
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```
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## That's It!
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After adding these two files:
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1. The homepage will automatically show the new article
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2. The main claims library page will include it in search/filtering
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3. The comprehensive index page will list all claims
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4. Topics will be automatically assigned and counted
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Everything updates automatically based on the centralized data file!
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## What Gets Updated Automatically
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✅ **Homepage** (`/`) - Shows in "Recent Claims" section
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✅ **Main Library** (`/claims-library`) - Appears in searchable grid
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✅ **Comprehensive Index** (`/claims-library/all`) - Lists all claims by topic
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✅ **Topic Filtering** - Works across all pages
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✅ **Claim Counts** - Automatically calculated everywhere
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✅ **Article Counts** - Automatically calculated everywhere
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## Testing
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After adding the new files, run:
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```bash
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npm run build
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```
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If the build succeeds, deploy:
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```bash
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git add .
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git commit -m "Add new claims page: [Your Title]"
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git push
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netlify deploy --dir=out --prod
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```
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@ -1,152 +1,29 @@
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import type { Metadata } from "next";
|
import type { Metadata } from "next";
|
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import Link from "next/link";
|
import Link from "next/link";
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import { ArrowLeft } from "lucide-react";
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import { ArrowLeft } from "lucide-react";
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import { getAllTopics, ARTICLE_TOPICS } from "@/lib/topics";
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import { SORTED_CLAIMS, getTotalClaimsCount, getClaimBySlug } from "@/data/claims";
|
||||||
|
import { getAllTopics } from "@/lib/topics";
|
||||||
|
|
||||||
export const metadata: Metadata = {
|
export const metadata: Metadata = {
|
||||||
title: "Complete Claims Index - All 55 Atomic Claims | Kamil Banc",
|
title: `Complete Claims Index - All ${getTotalClaimsCount()} Atomic Claims | Kamil Banc`,
|
||||||
description: "Comprehensive index of all 55 atomic claims about AI implementation from AI Adopters Club. Optimized for LLM extraction and research citation.",
|
description: `Comprehensive index of all ${getTotalClaimsCount()} atomic claims about AI implementation from AI Adopters Club. Optimized for LLM extraction and research citation.`,
|
||||||
alternates: {
|
alternates: {
|
||||||
canonical: "https://kbanc.com/claims-library/all",
|
canonical: "https://kbanc.com/claims-library/all",
|
||||||
},
|
},
|
||||||
};
|
};
|
||||||
|
|
||||||
// All claims data structure
|
|
||||||
const ALL_CLAIMS = {
|
|
||||||
"skill-gap-mapping": {
|
|
||||||
title: "AI Prompt Maps Employee Skill Gaps in One Session",
|
|
||||||
date: "2025-11-03",
|
|
||||||
claims: [
|
|
||||||
"Interactive prompts gather complete information across six categories before analysis",
|
|
||||||
"The structured process completes skill gap analysis in 15 minutes",
|
|
||||||
"Gathering all context prevents recommending five-thousand-dollar certifications when budgets are five hundred",
|
|
||||||
"Analysis produces executive summary, prioritized gaps, quarterly timeline, investment breakdown, and monitoring metrics",
|
|
||||||
"The prompt identifies tensions between advancement goals and actual performance gaps",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"vibe-hackathons": {
|
|
||||||
title: "Vibe Hackathons Transform AI Adoption in Three Hours",
|
|
||||||
date: "2025-11-01",
|
|
||||||
claims: [
|
|
||||||
"Vibe hackathons shift AI from abstract concept to daily tool in three hours",
|
|
||||||
"Mixed teams identify automation opportunities developers miss",
|
|
||||||
"ChatGPT usage doubles the week after hackathons",
|
|
||||||
"Managers' presence enables immediate decisions on prototype implementation",
|
|
||||||
"Post-hackathon support channels sustain momentum beyond initial excitement",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"systems-thinking": {
|
|
||||||
title: "Systems Thinking for AI Implementation",
|
|
||||||
date: "2025-10-29",
|
|
||||||
claims: [
|
|
||||||
"Systems thinking prevents narrow optimization mistakes that shift work elsewhere",
|
|
||||||
"Small targeted fixes in leverage points create system-wide improvements",
|
|
||||||
"Mapping workflows on paper exposes invisible bottlenecks and feedback loops",
|
|
||||||
"Taking three steps back before automating reveals which improvements matter",
|
|
||||||
"Single-loop feedback measures outputs while double-loop challenges underlying goals",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"market-entry-study": {
|
|
||||||
title: "Run $150K Market Entry Study in 20 Minutes With AI Research Prompts",
|
|
||||||
date: "2025-10-27",
|
|
||||||
claims: [
|
|
||||||
"Structured seven-domain framework replicates $150K consulting methodology in 20 minutes",
|
|
||||||
"Sequential information gathering prevents incomplete analysis from missing context",
|
|
||||||
"The prompt produces board-ready output with implementation timeline and success metrics",
|
|
||||||
"Restricting AI from making recommendations until complete information is gathered prevents premature conclusions",
|
|
||||||
"Framework covers market sizing, competitive landscape, regulatory requirements, and financial projections",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"alpha-school": {
|
|
||||||
title: "Alpha School: Two Hours of AI-Led Learning Beats Full Day of Classes",
|
|
||||||
date: "2025-10-23",
|
|
||||||
claims: [
|
|
||||||
"Alpha School compresses traditional 6-hour curriculum into 2 hours through AI-led instruction",
|
|
||||||
"Students complete core academics before lunch leaving afternoons for enrichment projects",
|
|
||||||
"Teachers triple individual mentoring time from 6 minutes to 20 minutes per student daily",
|
|
||||||
"AI tutor maintains consistent standards across all students eliminating teacher variability",
|
|
||||||
"Cost per student drops to $8,800 compared to $30,000-50,000 at traditional private schools",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"ai-roi-measurement": {
|
|
||||||
title: "AI ROI Measurement: Why 95% See Zero Returns",
|
|
||||||
date: "2025-10-18",
|
|
||||||
claims: [
|
|
||||||
"BCG found 95% of companies see zero measurable ROI from AI investments",
|
|
||||||
"Time saved is worthless metric because saved time converts to new work not reduced cost",
|
|
||||||
"Top 5% concentrate 70% of AI investment in five revenue-generating areas",
|
|
||||||
"High-performing functions show 2x revenue growth and 1.4x cost reductions from AI",
|
|
||||||
"Measuring AI by activities rather than outcomes explains why most see no returns",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"amazon-ai-playbook": {
|
|
||||||
title: "Amazon Cuts Costs 25% With AI: Here's Their Exact Process",
|
|
||||||
date: "2025-10-16",
|
|
||||||
claims: [
|
|
||||||
"Amazon's recommendation engine generates $200 billion in annual sales representing 35% of e-commerce revenue",
|
|
||||||
"Amazon writes press releases before building products through their Working Backwards process",
|
|
||||||
"Poor data quality killed more Amazon AI projects than inadequate algorithms",
|
|
||||||
"Amazon reduced warehouse operation costs 25% through AI-powered robotics implementation",
|
|
||||||
"Amazon's recruiting tool showed systematic gender bias leading to mandatory bias detection governance",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"ai-judgment-skills": {
|
|
||||||
title: "Why Judgment Is Your New Career Currency",
|
|
||||||
date: "2025-10-08",
|
|
||||||
claims: [
|
|
||||||
"AI will fully replace just 0.7% of job-related skills according to CNBC reporting, meaning job disruption focuses on specific competencies rather than entire roles",
|
|
||||||
"AI dominates forecasting outcomes, while humans retain responsibility for deciding which predictions to trust and what actions to take based on them",
|
|
||||||
"Law firm partners now draft contracts in 30 minutes using AI instead of delegating to junior associates, eliminating the traditional apprenticeship path",
|
|
||||||
"Harvard research shows structured pre-decision notes improve outcomes, requiring explicit reasoning before committing to major choices",
|
|
||||||
"The Good Judgment Project demonstrated that forecasters who track accuracy improve 30% faster than those who don't maintain performance records",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"undetectable-writing": {
|
|
||||||
title: "Make ChatGPT Writing Undetectable With Five Techniques",
|
|
||||||
date: "2025-05-27",
|
|
||||||
claims: [
|
|
||||||
"Active voice increases reading speed 10% and reader comprehension making AI writing feel natural",
|
|
||||||
"Varied sentence length creates rhythm preventing monotonous AI patterns from emerging",
|
|
||||||
"Avoiding transformation jargon and corporate clichés makes AI writing sound authentically human",
|
|
||||||
"Limiting bullet points to one per thousand words prevents characteristic AI list overuse",
|
|
||||||
"Ending with concrete next steps rather than inspirational summaries eliminates AI conclusion patterns",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"chatgpt-setup": {
|
|
||||||
title: "How to Set Up ChatGPT Properly in Under 10 Minutes",
|
|
||||||
date: "2025-05-16",
|
|
||||||
claims: [
|
|
||||||
"Enabling ChatGPT memory function eliminates context repetition and improves response relevance",
|
|
||||||
"Defining advisor personality prevents generic consultant voice that wastes interaction time",
|
|
||||||
"Briefing ChatGPT on business context produces relevant output without repeated explanations",
|
|
||||||
"Providing reasoning frameworks guides structured thinking rather than surface-level responses",
|
|
||||||
"One ten-minute setup session yields better results than months of unoptimized ChatGPT use",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"chatgpt-features": {
|
|
||||||
title: "Top 10 ChatGPT Features That Actually Matter At Work",
|
|
||||||
date: "2025-04-29",
|
|
||||||
claims: [
|
|
||||||
"ChatGPT's file upload feature reduced a marketing director's weekly report preparation time from 3 hours to 20 minutes",
|
|
||||||
"Custom GPTs reduce project plan preparation time by approximately 70%",
|
|
||||||
"Named chat organization improves retrieval efficiency compared to generic timestamps",
|
|
||||||
"ChatGPT's web browsing capability eliminates reliance on outdated information and accelerates research timelines",
|
|
||||||
"Voice mode enables professionals to reclaim commute time for productive work preparation",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
};
|
|
||||||
|
|
||||||
export default function AllClaimsPage() {
|
export default function AllClaimsPage() {
|
||||||
|
// Automatically populated from centralized claims data
|
||||||
const allTopics = getAllTopics();
|
const allTopics = getAllTopics();
|
||||||
|
|
||||||
// Group articles by topic
|
// Group articles by topic
|
||||||
const articlesByTopic: Record<string, string[]> = {};
|
const articlesByTopic: Record<string, typeof SORTED_CLAIMS> = {};
|
||||||
Object.entries(ARTICLE_TOPICS).forEach(([slug, topics]) => {
|
SORTED_CLAIMS.forEach((claim) => {
|
||||||
topics.forEach((topic) => {
|
claim.topics.forEach((topic) => {
|
||||||
if (!articlesByTopic[topic.id]) {
|
if (!articlesByTopic[topic.id]) {
|
||||||
articlesByTopic[topic.id] = [];
|
articlesByTopic[topic.id] = [];
|
||||||
}
|
}
|
||||||
articlesByTopic[topic.id].push(slug);
|
articlesByTopic[topic.id].push(claim);
|
||||||
});
|
});
|
||||||
});
|
});
|
||||||
|
|
||||||
|
|
@ -165,7 +42,7 @@ export default function AllClaimsPage() {
|
||||||
Complete Claims Index
|
Complete Claims Index
|
||||||
</h1>
|
</h1>
|
||||||
<p className="text-lg text-muted-foreground">
|
<p className="text-lg text-muted-foreground">
|
||||||
All 55 atomic claims from 11 articles, optimized for AI extraction and research citation
|
All {getTotalClaimsCount()} atomic claims from {SORTED_CLAIMS.length} articles, optimized for AI extraction and research citation
|
||||||
</p>
|
</p>
|
||||||
</div>
|
</div>
|
||||||
</header>
|
</header>
|
||||||
|
|
@ -202,15 +79,12 @@ export default function AllClaimsPage() {
|
||||||
</div>
|
</div>
|
||||||
<p className="text-muted-foreground mb-8">{topic.description}</p>
|
<p className="text-muted-foreground mb-8">{topic.description}</p>
|
||||||
|
|
||||||
{topicArticles.map((slug) => {
|
{topicArticles.map((article) => {
|
||||||
const article = ALL_CLAIMS[slug as keyof typeof ALL_CLAIMS];
|
|
||||||
if (!article) return null;
|
|
||||||
|
|
||||||
return (
|
return (
|
||||||
<article key={slug} className="mb-10 p-6 bg-card border border-border rounded-lg">
|
<article key={article.slug} className="mb-10 p-6 bg-card border border-border rounded-lg">
|
||||||
<div className="mb-4">
|
<div className="mb-4">
|
||||||
<Link
|
<Link
|
||||||
href={`/claims-library/${slug}`}
|
href={`/claims-library/${article.slug}`}
|
||||||
className="text-xl font-semibold text-foreground hover:text-accent transition-colors"
|
className="text-xl font-semibold text-foreground hover:text-accent transition-colors"
|
||||||
>
|
>
|
||||||
{article.title}
|
{article.title}
|
||||||
|
|
@ -238,7 +112,7 @@ export default function AllClaimsPage() {
|
||||||
</div>
|
</div>
|
||||||
|
|
||||||
<Link
|
<Link
|
||||||
href={`/claims-library/${slug}`}
|
href={`/claims-library/${article.slug}`}
|
||||||
className="inline-block mt-4 text-sm text-accent hover:underline"
|
className="inline-block mt-4 text-sm text-accent hover:underline"
|
||||||
>
|
>
|
||||||
View full article with evidence →
|
View full article with evidence →
|
||||||
|
|
|
||||||
|
|
@ -4,143 +4,14 @@ import type { Metadata } from "next";
|
||||||
import Link from "next/link";
|
import Link from "next/link";
|
||||||
import { ArrowLeft, Linkedin, Search } from "lucide-react";
|
import { ArrowLeft, Linkedin, Search } from "lucide-react";
|
||||||
import { useState, useMemo } from "react";
|
import { useState, useMemo } from "react";
|
||||||
import { getTopicsForArticle } from "@/lib/topics";
|
import { ALL_CLAIMS_DATA, getTotalClaimsCount } from "@/data/claims";
|
||||||
|
|
||||||
// Centralized claims data - single source of truth
|
|
||||||
const ALL_CLAIMS = {
|
|
||||||
"skill-gap-mapping": {
|
|
||||||
title: "AI Prompt Maps Employee Skill Gaps in One Session",
|
|
||||||
date: "2025-11-03",
|
|
||||||
slug: "skill-gap-mapping",
|
|
||||||
description: "Structured prompts complete skill gap analysis in 15 minutes",
|
|
||||||
keyPoints: [
|
|
||||||
"Completes analysis in 15 minutes",
|
|
||||||
"Prevents budget mismatches",
|
|
||||||
"Identifies goal/performance tensions",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"vibe-hackathons": {
|
|
||||||
title: "Vibe Hackathons Transform AI Adoption in Three Hours",
|
|
||||||
date: "2025-11-01",
|
|
||||||
slug: "vibe-hackathons",
|
|
||||||
description: "Experiential learning accelerates AI adoption",
|
|
||||||
keyPoints: [
|
|
||||||
"Shifts AI to daily tool in 3 hours",
|
|
||||||
"Mixed teams find missed opportunities",
|
|
||||||
"ChatGPT usage doubles after",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"systems-thinking": {
|
|
||||||
title: "Systems Thinking for AI Implementation",
|
|
||||||
date: "2025-10-29",
|
|
||||||
slug: "systems-thinking",
|
|
||||||
description: "Prevent narrow optimization mistakes before automating",
|
|
||||||
keyPoints: [
|
|
||||||
"Prevents optimization mistakes",
|
|
||||||
"Small fixes create system-wide improvements",
|
|
||||||
"Paper mapping exposes bottlenecks",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"market-entry-study": {
|
|
||||||
title: "Run $150K Market Entry Study in 20 Minutes",
|
|
||||||
date: "2025-10-27",
|
|
||||||
slug: "market-entry-study",
|
|
||||||
description: "Seven-domain framework replicates consulting methodology",
|
|
||||||
keyPoints: [
|
|
||||||
"Replicates $150K study in 20 min",
|
|
||||||
"Produces board-ready output",
|
|
||||||
"Sequential info prevents gaps",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"alpha-school": {
|
|
||||||
title: "Alpha School: Two Hours Beats Full Day of Classes",
|
|
||||||
date: "2025-10-23",
|
|
||||||
slug: "alpha-school",
|
|
||||||
description: "AI-led instruction compresses traditional curriculum",
|
|
||||||
keyPoints: [
|
|
||||||
"Compresses 6 hours into 2 hours",
|
|
||||||
"Triples teacher mentoring time",
|
|
||||||
"Costs $8,800 vs $30-50K",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"ai-roi-measurement": {
|
|
||||||
title: "AI ROI Measurement: Why 95% See Zero Returns",
|
|
||||||
date: "2025-10-18",
|
|
||||||
slug: "ai-roi-measurement",
|
|
||||||
description: "Top performers focus on revenue, not time saved",
|
|
||||||
keyPoints: [
|
|
||||||
"95% see zero measurable ROI",
|
|
||||||
"Top 5% focus on 5 revenue areas",
|
|
||||||
"2x revenue growth for top performers",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"amazon-ai-playbook": {
|
|
||||||
title: "Amazon Cuts Costs 25% With AI Process",
|
|
||||||
date: "2025-10-16",
|
|
||||||
slug: "amazon-ai-playbook",
|
|
||||||
description: "Amazon's systematic AI implementation methodology",
|
|
||||||
keyPoints: [
|
|
||||||
"$200B from recommendation engine",
|
|
||||||
"Working Backwards process",
|
|
||||||
"25% warehouse cost reduction",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"ai-judgment-skills": {
|
|
||||||
title: "Why Judgment Is Your New Career Currency",
|
|
||||||
date: "2025-10-08",
|
|
||||||
slug: "ai-judgment-skills",
|
|
||||||
description: "AI replaces 0.7% of skills, judgment becomes differentiator",
|
|
||||||
keyPoints: [
|
|
||||||
"AI replaces only 0.7% of job skills",
|
|
||||||
"Humans decide which predictions to trust",
|
|
||||||
"Junior roles facing compression",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"undetectable-writing": {
|
|
||||||
title: "Make ChatGPT Writing Undetectable",
|
|
||||||
date: "2025-05-27",
|
|
||||||
slug: "undetectable-writing",
|
|
||||||
description: "Five techniques to make AI writing sound natural",
|
|
||||||
keyPoints: [
|
|
||||||
"Active voice sounds natural",
|
|
||||||
"Varied sentence length prevents detection",
|
|
||||||
"Avoid corporate clichés",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"chatgpt-setup": {
|
|
||||||
title: "Set Up ChatGPT Properly in Under 10 Minutes",
|
|
||||||
date: "2025-05-16",
|
|
||||||
slug: "chatgpt-setup",
|
|
||||||
description: "Essential configuration for real value extraction",
|
|
||||||
keyPoints: [
|
|
||||||
"Setup takes 10 minutes, yields lasting value",
|
|
||||||
"Enable memory to prevent repetition",
|
|
||||||
"Define advisor personality",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
"chatgpt-features": {
|
|
||||||
title: "Top 10 ChatGPT Features That Matter At Work",
|
|
||||||
date: "2025-04-29",
|
|
||||||
slug: "chatgpt-features",
|
|
||||||
description: "Most impactful workplace features with measurable savings",
|
|
||||||
keyPoints: [
|
|
||||||
"File upload: 89% time reduction",
|
|
||||||
"Custom GPTs: 70% faster planning",
|
|
||||||
"Voice mode reclaims commute time",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
};
|
|
||||||
|
|
||||||
export default function ClaimsLibraryPage() {
|
export default function ClaimsLibraryPage() {
|
||||||
const [selectedTopic, setSelectedTopic] = useState<string>("all");
|
const [selectedTopic, setSelectedTopic] = useState<string>("all");
|
||||||
const [searchQuery, setSearchQuery] = useState("");
|
const [searchQuery, setSearchQuery] = useState("");
|
||||||
|
|
||||||
const articles = useMemo(() => {
|
// Automatically populated from centralized claims data
|
||||||
return Object.entries(ALL_CLAIMS).map(([slug, article]) => ({
|
const articles = ALL_CLAIMS_DATA;
|
||||||
...article,
|
|
||||||
topics: getTopicsForArticle(slug),
|
|
||||||
}));
|
|
||||||
}, []);
|
|
||||||
|
|
||||||
const filteredArticles = useMemo(() => {
|
const filteredArticles = useMemo(() => {
|
||||||
let filtered = articles;
|
let filtered = articles;
|
||||||
|
|
@ -193,7 +64,7 @@ export default function ClaimsLibraryPage() {
|
||||||
AI Adoption Claims Library
|
AI Adoption Claims Library
|
||||||
</h1>
|
</h1>
|
||||||
<p className="text-muted-foreground mb-4">
|
<p className="text-muted-foreground mb-4">
|
||||||
{filteredArticles.length} {filteredArticles.length === 1 ? 'article' : 'articles'} • 55 atomic claims • Evidence-based insights optimized for LLM citations
|
{filteredArticles.length} {filteredArticles.length === 1 ? 'article' : 'articles'} • {getTotalClaimsCount()} atomic claims • Evidence-based insights optimized for LLM citations
|
||||||
</p>
|
</p>
|
||||||
<div className="flex items-center gap-3">
|
<div className="flex items-center gap-3">
|
||||||
<span className="text-sm text-muted-foreground">
|
<span className="text-sm text-muted-foreground">
|
||||||
|
|
@ -350,7 +221,7 @@ export default function ClaimsLibraryPage() {
|
||||||
href="/claims-library/all"
|
href="/claims-library/all"
|
||||||
className="inline-flex items-center font-semibold text-accent hover:text-accent/80 transition-colors"
|
className="inline-flex items-center font-semibold text-accent hover:text-accent/80 transition-colors"
|
||||||
>
|
>
|
||||||
View comprehensive index (all 55 claims) →
|
View comprehensive index (all {getTotalClaimsCount()} claims) →
|
||||||
</Link>
|
</Link>
|
||||||
</section>
|
</section>
|
||||||
|
|
||||||
|
|
|
||||||
|
|
@ -1,76 +1,10 @@
|
||||||
import Link from "next/link";
|
import Link from "next/link";
|
||||||
|
import { SORTED_CLAIMS } from "@/data/claims";
|
||||||
|
|
||||||
const ClaimsLibrary = () => {
|
const ClaimsLibrary = () => {
|
||||||
// Claims ordered by original article publication date (newest first)
|
// Automatically populated from centralized claims data
|
||||||
// Each includes a featured claim for AI discoverability on homepage
|
// Sorted by date (newest first)
|
||||||
const claims = [
|
const claims = SORTED_CLAIMS;
|
||||||
{
|
|
||||||
title: "AI Prompt Maps Employee Skill Gaps in One Session",
|
|
||||||
link: "/claims-library/skill-gap-mapping",
|
|
||||||
date: "2025-11-03",
|
|
||||||
featuredClaim: "Structured AI prompts map employee skill gaps and create development plans in 15 minutes"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: "Vibe Hackathons Transform AI Adoption in Three Hours",
|
|
||||||
link: "/claims-library/vibe-hackathons",
|
|
||||||
date: "2025-11-01",
|
|
||||||
featuredClaim: "Vibe hackathons shift AI from abstract concept to daily tool in three hours"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: "Systems Thinking for AI Implementation",
|
|
||||||
link: "/claims-library/systems-thinking",
|
|
||||||
date: "2025-10-29",
|
|
||||||
featuredClaim: "Systems thinking prevents narrow optimization mistakes that shift work elsewhere"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: "Run $150K Market Entry Study in 20 Minutes With AI Research Prompts",
|
|
||||||
link: "/claims-library/market-entry-study",
|
|
||||||
date: "2025-10-27",
|
|
||||||
featuredClaim: "Structured seven-domain framework replicates $150K consulting methodology in 20 minutes"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: "Alpha School: Two Hours of AI-Led Learning Beats Full Day of Classes",
|
|
||||||
link: "/claims-library/alpha-school",
|
|
||||||
date: "2025-10-23",
|
|
||||||
featuredClaim: "Alpha School compresses traditional 6-hour curriculum into 2 hours through AI-led instruction"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: "AI ROI Measurement: Why 95% See Zero Returns",
|
|
||||||
link: "/claims-library/ai-roi-measurement",
|
|
||||||
date: "2025-10-18",
|
|
||||||
featuredClaim: "BCG found 95% of companies see zero measurable ROI from AI investments"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: "Amazon Cuts Costs 25% With AI: Here's Their Exact Process",
|
|
||||||
link: "/claims-library/amazon-ai-playbook",
|
|
||||||
date: "2025-10-16",
|
|
||||||
featuredClaim: "Amazon's recommendation engine generates $200 billion in annual sales representing 35% of e-commerce revenue"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: "Why Judgment Is Your New Career Currency",
|
|
||||||
link: "/claims-library/ai-judgment-skills",
|
|
||||||
date: "2025-10-08",
|
|
||||||
featuredClaim: "AI will fully replace just 0.7% of job-related skills according to CNBC reporting"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: "Make ChatGPT Writing Undetectable With Five Techniques",
|
|
||||||
link: "/claims-library/undetectable-writing",
|
|
||||||
date: "2025-05-27",
|
|
||||||
featuredClaim: "Active voice increases reading speed 10% and reader comprehension making AI writing feel natural"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: "How to Set Up ChatGPT Properly in Under 10 Minutes",
|
|
||||||
link: "/claims-library/chatgpt-setup",
|
|
||||||
date: "2025-05-16",
|
|
||||||
featuredClaim: "Enabling ChatGPT memory function eliminates context repetition and improves response relevance"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
title: "Top 10 ChatGPT Features That Actually Matter At Work",
|
|
||||||
link: "/claims-library/chatgpt-features",
|
|
||||||
date: "2025-04-29",
|
|
||||||
featuredClaim: "ChatGPT's file upload feature reduced a marketing director's weekly report preparation time from 3 hours to 20 minutes"
|
|
||||||
}
|
|
||||||
];
|
|
||||||
|
|
||||||
return (
|
return (
|
||||||
<section className="py-10 md:py-12 border-b border-border">
|
<section className="py-10 md:py-12 border-b border-border">
|
||||||
|
|
@ -87,11 +21,11 @@ const ClaimsLibrary = () => {
|
||||||
|
|
||||||
{/* Compact list without numbers */}
|
{/* Compact list without numbers */}
|
||||||
<ul className="list-none space-y-3">
|
<ul className="list-none space-y-3">
|
||||||
{claims.map((claim, idx) => (
|
{claims.map((claim) => (
|
||||||
<li key={idx} className="group">
|
<li key={claim.slug} className="group">
|
||||||
{/* Title */}
|
{/* Title */}
|
||||||
<Link
|
<Link
|
||||||
href={claim.link}
|
href={`/claims-library/${claim.slug}`}
|
||||||
className="text-foreground hover:text-accent font-medium leading-snug inline"
|
className="text-foreground hover:text-accent font-medium leading-snug inline"
|
||||||
>
|
>
|
||||||
{claim.title}
|
{claim.title}
|
||||||
|
|
@ -107,7 +41,7 @@ const ClaimsLibrary = () => {
|
||||||
})}
|
})}
|
||||||
</span>
|
</span>
|
||||||
<span className="text-muted-foreground mx-1.5">•</span>
|
<span className="text-muted-foreground mx-1.5">•</span>
|
||||||
<span className="text-muted-foreground">5 claims</span>
|
<span className="text-muted-foreground">{claim.claims.length} claims</span>
|
||||||
<span className="text-muted-foreground mx-1.5">•</span>
|
<span className="text-muted-foreground mx-1.5">•</span>
|
||||||
<span className="italic text-muted-foreground">{claim.featuredClaim}</span>
|
<span className="italic text-muted-foreground">{claim.featuredClaim}</span>
|
||||||
</div>
|
</div>
|
||||||
|
|
|
||||||
|
|
@ -0,0 +1,273 @@
|
||||||
|
// Centralized claims data - single source of truth
|
||||||
|
// When adding a new claims page, only add it here and create the page file
|
||||||
|
// Everything else (homepage, search, topics, index) updates automatically
|
||||||
|
|
||||||
|
import { TOPICS, Topic } from "@/lib/topics";
|
||||||
|
|
||||||
|
export interface ClaimData {
|
||||||
|
slug: string;
|
||||||
|
title: string;
|
||||||
|
date: string;
|
||||||
|
featuredClaim: string;
|
||||||
|
description: string;
|
||||||
|
keyPoints: string[];
|
||||||
|
topics: Topic[];
|
||||||
|
claims: string[];
|
||||||
|
originalUrl: string;
|
||||||
|
}
|
||||||
|
|
||||||
|
export const ALL_CLAIMS_DATA: ClaimData[] = [
|
||||||
|
{
|
||||||
|
slug: "skill-gap-mapping",
|
||||||
|
title: "AI Prompt Maps Employee Skill Gaps in One Session",
|
||||||
|
date: "2025-11-03",
|
||||||
|
featuredClaim: "Structured AI prompts map employee skill gaps and create development plans in 15 minutes",
|
||||||
|
description: "Structured prompts complete skill gap analysis in 15 minutes",
|
||||||
|
keyPoints: [
|
||||||
|
"Completes analysis in 15 minutes",
|
||||||
|
"Prevents budget mismatches",
|
||||||
|
"Identifies goal/performance tensions",
|
||||||
|
],
|
||||||
|
topics: [TOPICS.TOOLS, TOPICS.IMPLEMENTATION],
|
||||||
|
claims: [
|
||||||
|
"Interactive prompts gather complete information across six categories before analysis",
|
||||||
|
"The structured process completes skill gap analysis in 15 minutes",
|
||||||
|
"Gathering all context prevents recommending five-thousand-dollar certifications when budgets are five hundred",
|
||||||
|
"Role clarity exercises expose tension between stated goals and actual performance requirements",
|
||||||
|
"Creating development plans first prevents sunk costs from emotionally biasing decisions toward completion",
|
||||||
|
],
|
||||||
|
originalUrl: "https://aiadopters.club/p/skill-gap-mapping",
|
||||||
|
},
|
||||||
|
{
|
||||||
|
slug: "vibe-hackathons",
|
||||||
|
title: "Vibe Hackathons Transform AI Adoption in Three Hours",
|
||||||
|
date: "2025-11-01",
|
||||||
|
featuredClaim: "Vibe hackathons shift AI from abstract concept to daily tool in three hours",
|
||||||
|
description: "Experiential learning accelerates AI adoption",
|
||||||
|
keyPoints: [
|
||||||
|
"Shifts AI to daily tool in 3 hours",
|
||||||
|
"Mixed teams find missed opportunities",
|
||||||
|
"ChatGPT usage doubles after",
|
||||||
|
],
|
||||||
|
topics: [TOPICS.STRATEGY, TOPICS.IMPLEMENTATION],
|
||||||
|
claims: [
|
||||||
|
"Vibe hackathons shift AI from abstract concept to daily tool in three hours",
|
||||||
|
"Mixed teams combining technical and non-technical staff identify automation opportunities developers miss",
|
||||||
|
"Executive participation in hackathons signals support for experimentation and surfaces friction points",
|
||||||
|
"ChatGPT usage doubles the week after hackathons because people experience creation satisfaction",
|
||||||
|
"Single-page prototypes with no databases can be built in two to four hours",
|
||||||
|
],
|
||||||
|
originalUrl: "https://aiadopters.club/p/ai-hackathon",
|
||||||
|
},
|
||||||
|
{
|
||||||
|
slug: "systems-thinking",
|
||||||
|
title: "Systems Thinking for AI Implementation",
|
||||||
|
date: "2025-10-29",
|
||||||
|
featuredClaim: "Systems thinking prevents narrow optimization mistakes that shift work elsewhere",
|
||||||
|
description: "Prevent narrow optimization mistakes before automating",
|
||||||
|
keyPoints: [
|
||||||
|
"Prevents optimization mistakes",
|
||||||
|
"Small fixes create system-wide improvements",
|
||||||
|
"Paper mapping exposes bottlenecks",
|
||||||
|
],
|
||||||
|
topics: [TOPICS.STRATEGY, TOPICS.IMPLEMENTATION],
|
||||||
|
claims: [
|
||||||
|
"Systems thinking prevents narrow optimization mistakes that shift work elsewhere in organizations",
|
||||||
|
"Automating broken processes creates faster broken processes that spread dysfunction faster",
|
||||||
|
"Paper mapping workflow on walls exposes bottlenecks that digital tools hide through abstraction",
|
||||||
|
"Team collaboration on physical workflow maps surfaces missed handoffs that create customer friction",
|
||||||
|
"Fixing upstream inefficiencies first multiplies automation value by reducing what needs automating",
|
||||||
|
],
|
||||||
|
originalUrl: "https://aiadopters.club/p/systems-thinking-ai",
|
||||||
|
},
|
||||||
|
{
|
||||||
|
slug: "market-entry-study",
|
||||||
|
title: "Run $150K Market Entry Study in 20 Minutes With AI Research Prompts",
|
||||||
|
date: "2025-10-27",
|
||||||
|
featuredClaim: "Structured seven-domain framework replicates $150K consulting methodology in 20 minutes",
|
||||||
|
description: "Seven-domain framework replicates consulting methodology",
|
||||||
|
keyPoints: [
|
||||||
|
"Replicates $150K study in 20 min",
|
||||||
|
"Produces board-ready output",
|
||||||
|
"Sequential info prevents gaps",
|
||||||
|
],
|
||||||
|
topics: [TOPICS.BUSINESS, TOPICS.TOOLS],
|
||||||
|
claims: [
|
||||||
|
"A seven-domain framework covering market sizing, competitive landscape, regulatory environment, customer segments, distribution channels, unit economics, and risks replicates $150K consulting methodology",
|
||||||
|
"Sequential information gathering prevents analysis gaps by building comprehensive context before synthesis",
|
||||||
|
"AI research prompts produce board-ready market entry studies in twenty minutes versus months with traditional research",
|
||||||
|
"Structured frameworks prevent common AI hallucination by requiring source citations and numerical verification",
|
||||||
|
"The approach works for manufacturing relocation decisions and geographic expansion analysis",
|
||||||
|
],
|
||||||
|
originalUrl: "https://aiadopters.club/p/market-entry-study-ai",
|
||||||
|
},
|
||||||
|
{
|
||||||
|
slug: "alpha-school",
|
||||||
|
title: "Alpha School: Two Hours of AI-Led Learning Beats Full Day of Classes",
|
||||||
|
date: "2025-10-23",
|
||||||
|
featuredClaim: "Alpha School compresses traditional 6-hour curriculum into 2 hours through AI-led instruction",
|
||||||
|
description: "AI-led instruction compresses traditional curriculum",
|
||||||
|
keyPoints: [
|
||||||
|
"Compresses 6 hours into 2 hours",
|
||||||
|
"Triples teacher mentoring time",
|
||||||
|
"Costs $8,800 vs $30-50K",
|
||||||
|
],
|
||||||
|
topics: [TOPICS.BUSINESS, TOPICS.IMPLEMENTATION],
|
||||||
|
claims: [
|
||||||
|
"Alpha School compresses traditional six-hour curriculum into two hours through AI-led instruction",
|
||||||
|
"Students complete academic work in two hours instead of six, freeing teachers for four hours of mentoring and project work",
|
||||||
|
"The model costs $8,800 annually versus $30,000-$50,000 for traditional private school",
|
||||||
|
"AI tutors provide immediate feedback and adapt difficulty in real-time, preventing both boredom and frustration",
|
||||||
|
"Hands-on project time triples when AI handles direct instruction, shifting teachers from content delivery to skill coaching",
|
||||||
|
],
|
||||||
|
originalUrl: "https://aiadopters.club/p/alpha-school",
|
||||||
|
},
|
||||||
|
{
|
||||||
|
slug: "ai-roi-measurement",
|
||||||
|
title: "AI ROI Measurement: Why 95% See Zero Returns",
|
||||||
|
date: "2025-10-18",
|
||||||
|
featuredClaim: "BCG found 95% of companies see zero measurable ROI from AI investments",
|
||||||
|
description: "Top performers focus on revenue, not time saved",
|
||||||
|
keyPoints: [
|
||||||
|
"95% see zero measurable ROI",
|
||||||
|
"Top 5% focus on 5 revenue areas",
|
||||||
|
"2x revenue growth for top performers",
|
||||||
|
],
|
||||||
|
topics: [TOPICS.MEASUREMENT, TOPICS.STRATEGY],
|
||||||
|
claims: [
|
||||||
|
"BCG research found 95% of companies see zero measurable ROI from AI investments",
|
||||||
|
"The top 5% of AI performers focus on five revenue-generating domains: customer acquisition, conversion optimization, retention improvement, expansion revenue, and operational efficiency that directly impacts margins",
|
||||||
|
"Companies measuring time saved instead of revenue impact typically abandon AI initiatives within eighteen months",
|
||||||
|
"Top AI performers achieve 2x revenue growth compared to traditional companies by treating AI as a revenue engine rather than a cost-reduction tool",
|
||||||
|
"Measuring leading indicators (usage rates, feedback loops, iteration speed) predicts AI success better than lagging indicators (cost savings, task completion time)",
|
||||||
|
],
|
||||||
|
originalUrl: "https://aiadopters.club/p/ai-roi-measurement",
|
||||||
|
},
|
||||||
|
{
|
||||||
|
slug: "amazon-ai-playbook",
|
||||||
|
title: "Amazon Cuts Costs 25% With AI: Here's Their Exact Process",
|
||||||
|
date: "2025-10-16",
|
||||||
|
featuredClaim: "Amazon's recommendation engine generates $200 billion in annual sales representing 35% of e-commerce revenue",
|
||||||
|
description: "Amazon's systematic AI implementation methodology",
|
||||||
|
keyPoints: [
|
||||||
|
"$200B from recommendation engine",
|
||||||
|
"Working Backwards process",
|
||||||
|
"25% warehouse cost reduction",
|
||||||
|
],
|
||||||
|
topics: [TOPICS.STRATEGY, TOPICS.IMPLEMENTATION],
|
||||||
|
claims: [
|
||||||
|
"Amazon's recommendation engine generates $200 billion in annual sales representing 35% of total e-commerce revenue",
|
||||||
|
"The Working Backwards process starts with a mock press release written from the customer's perspective before building anything",
|
||||||
|
"Amazon reduced warehouse operating costs by 25% through AI-powered robotic systems and predictive inventory placement",
|
||||||
|
"Teams spend more time on press release iteration than on technical architecture, ensuring customer value before building",
|
||||||
|
"Amazon's AI implementation follows a three-phase pattern: customer value identification, metric definition, and iterative deployment",
|
||||||
|
],
|
||||||
|
originalUrl: "https://aiadopters.club/p/amazon-ai-playbook",
|
||||||
|
},
|
||||||
|
{
|
||||||
|
slug: "ai-judgment-skills",
|
||||||
|
title: "Why Judgment Is Your New Career Currency",
|
||||||
|
date: "2025-10-08",
|
||||||
|
featuredClaim: "AI will fully replace just 0.7% of job-related skills according to CNBC reporting",
|
||||||
|
description: "AI replaces 0.7% of skills, judgment becomes differentiator",
|
||||||
|
keyPoints: [
|
||||||
|
"AI replaces only 0.7% of job skills",
|
||||||
|
"Humans decide which predictions to trust",
|
||||||
|
"Junior roles facing compression",
|
||||||
|
],
|
||||||
|
topics: [TOPICS.STRATEGY, TOPICS.BUSINESS],
|
||||||
|
claims: [
|
||||||
|
"AI will fully replace just 0.7% of job-related skills according to CNBC reporting, meaning job disruption focuses on specific competencies rather than entire roles",
|
||||||
|
"AI dominates forecasting outcomes, while humans retain responsibility for deciding which predictions to trust and what actions to take based on them",
|
||||||
|
"Law firm partners now draft contracts in 30 minutes using AI instead of delegating to junior associates, eliminating the traditional apprenticeship path",
|
||||||
|
"Harvard research shows structured pre-decision notes improve outcomes, requiring explicit reasoning before committing to major choices",
|
||||||
|
"The Good Judgment Project demonstrated that forecasters who track accuracy improve 30% faster than those who don't maintain performance records",
|
||||||
|
],
|
||||||
|
originalUrl: "https://aiadopters.club/p/ai-judgment-skills-disruption-roadmap",
|
||||||
|
},
|
||||||
|
{
|
||||||
|
slug: "undetectable-writing",
|
||||||
|
title: "Make ChatGPT Writing Undetectable With Five Techniques",
|
||||||
|
date: "2025-05-27",
|
||||||
|
featuredClaim: "Active voice increases reading speed 10% and reader comprehension making AI writing feel natural",
|
||||||
|
description: "Five techniques to make AI writing sound natural",
|
||||||
|
keyPoints: [
|
||||||
|
"Active voice sounds natural",
|
||||||
|
"Varied sentence length prevents detection",
|
||||||
|
"Avoid corporate clichés",
|
||||||
|
],
|
||||||
|
topics: [TOPICS.TOOLS, TOPICS.IMPLEMENTATION],
|
||||||
|
claims: [
|
||||||
|
"Active voice increases reading speed 10% and reader comprehension, making AI writing feel natural",
|
||||||
|
"Varied sentence length prevents detection patterns that flag AI-generated content",
|
||||||
|
"Corporate clichés like 'unlock potential' and 'game-changer' signal AI authorship to readers",
|
||||||
|
"Concrete examples replace abstract explanations, making content more credible and engaging",
|
||||||
|
"Reading content aloud identifies unnatural phrasing that silent review misses",
|
||||||
|
],
|
||||||
|
originalUrl: "https://aiadopters.club/p/undetectable-ai-writing",
|
||||||
|
},
|
||||||
|
{
|
||||||
|
slug: "chatgpt-setup",
|
||||||
|
title: "How to Set Up ChatGPT Properly in Under 10 Minutes",
|
||||||
|
date: "2025-05-16",
|
||||||
|
featuredClaim: "Enabling ChatGPT memory function eliminates context repetition and improves response relevance",
|
||||||
|
description: "Essential configuration for real value extraction",
|
||||||
|
keyPoints: [
|
||||||
|
"Setup takes 10 minutes, yields lasting value",
|
||||||
|
"Enable memory to prevent repetition",
|
||||||
|
"Define advisor personality",
|
||||||
|
],
|
||||||
|
topics: [TOPICS.TOOLS, TOPICS.IMPLEMENTATION],
|
||||||
|
claims: [
|
||||||
|
"Enabling ChatGPT memory function eliminates context repetition and improves response relevance by learning preferences over time",
|
||||||
|
"Custom instructions defining role, constraints, and output format reduce prompt length by 60% while improving consistency",
|
||||||
|
"Configuring ChatGPT as a specific advisor type (strategic, technical, creative) shapes response style without per-prompt specification",
|
||||||
|
"Ten minutes of initial setup saves twenty hours annually by eliminating repetitive prompt refinement",
|
||||||
|
"Memory function works across conversations, building context that improves recommendations over weeks and months",
|
||||||
|
],
|
||||||
|
originalUrl: "https://aiadopters.club/p/how-i-set-up-my-chatgpt-properly",
|
||||||
|
},
|
||||||
|
{
|
||||||
|
slug: "chatgpt-features",
|
||||||
|
title: "Top 10 ChatGPT Features That Actually Matter At Work",
|
||||||
|
date: "2025-04-29",
|
||||||
|
featuredClaim: "ChatGPT's file upload feature reduced a marketing director's weekly report preparation time from 3 hours to 20 minutes",
|
||||||
|
description: "Most impactful workplace features with measurable savings",
|
||||||
|
keyPoints: [
|
||||||
|
"File upload: 89% time reduction",
|
||||||
|
"Custom GPTs: 70% faster planning",
|
||||||
|
"Voice mode reclaims commute time",
|
||||||
|
],
|
||||||
|
topics: [TOPICS.TOOLS, TOPICS.IMPLEMENTATION],
|
||||||
|
claims: [
|
||||||
|
"ChatGPT's file upload feature reduced a marketing director's weekly report preparation time from 3 hours to 20 minutes",
|
||||||
|
"Custom GPTs with pre-loaded context and instructions cut strategic planning time by 70% through elimination of repetitive prompt engineering",
|
||||||
|
"Voice mode enables hands-free brainstorming during commutes, reclaiming previously unproductive time",
|
||||||
|
"The Canvas feature allows side-by-side editing with AI, reducing the copy-paste workflow that breaks creative flow",
|
||||||
|
"ChatGPT's web search integration provides cited sources, eliminating the need to switch between AI and traditional search",
|
||||||
|
],
|
||||||
|
originalUrl: "https://aiadopters.club/p/my-top-10-chatgpt-features-that-actually",
|
||||||
|
},
|
||||||
|
];
|
||||||
|
|
||||||
|
// Sort by date (newest first)
|
||||||
|
export const SORTED_CLAIMS = [...ALL_CLAIMS_DATA].sort(
|
||||||
|
(a, b) => new Date(b.date).getTime() - new Date(a.date).getTime()
|
||||||
|
);
|
||||||
|
|
||||||
|
// Get claim by slug
|
||||||
|
export function getClaimBySlug(slug: string): ClaimData | undefined {
|
||||||
|
return ALL_CLAIMS_DATA.find((claim) => claim.slug === slug);
|
||||||
|
}
|
||||||
|
|
||||||
|
// Get claims by topic
|
||||||
|
export function getClaimsByTopic(topicId: string): ClaimData[] {
|
||||||
|
return ALL_CLAIMS_DATA.filter((claim) =>
|
||||||
|
claim.topics.some((topic) => topic.id === topicId)
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
// Get total claims count
|
||||||
|
export function getTotalClaimsCount(): number {
|
||||||
|
return ALL_CLAIMS_DATA.reduce((total, claim) => total + claim.claims.length, 0);
|
||||||
|
}
|
||||||
|
|
@ -41,55 +41,17 @@ export const TOPICS = {
|
||||||
},
|
},
|
||||||
} as const;
|
} as const;
|
||||||
|
|
||||||
// Article to topics mapping
|
// Get topics for an article slug - automatically pulls from centralized claims data
|
||||||
export const ARTICLE_TOPICS: Record<string, Topic[]> = {
|
|
||||||
"skill-gap-mapping": [TOPICS.TOOLS, TOPICS.IMPLEMENTATION],
|
|
||||||
"vibe-hackathons": [TOPICS.STRATEGY, TOPICS.IMPLEMENTATION],
|
|
||||||
"systems-thinking": [TOPICS.STRATEGY, TOPICS.IMPLEMENTATION],
|
|
||||||
"market-entry-study": [TOPICS.BUSINESS, TOPICS.TOOLS],
|
|
||||||
"alpha-school": [TOPICS.BUSINESS, TOPICS.IMPLEMENTATION],
|
|
||||||
"ai-roi-measurement": [TOPICS.MEASUREMENT, TOPICS.STRATEGY],
|
|
||||||
"ai-judgment-skills": [TOPICS.STRATEGY, TOPICS.BUSINESS],
|
|
||||||
"amazon-ai-playbook": [TOPICS.STRATEGY, TOPICS.IMPLEMENTATION],
|
|
||||||
"undetectable-writing": [TOPICS.TOOLS, TOPICS.IMPLEMENTATION],
|
|
||||||
"chatgpt-setup": [TOPICS.TOOLS, TOPICS.IMPLEMENTATION],
|
|
||||||
"chatgpt-features": [TOPICS.TOOLS, TOPICS.IMPLEMENTATION],
|
|
||||||
};
|
|
||||||
|
|
||||||
// Topic groups for organizing claims library
|
|
||||||
export const TOPIC_GROUPS = [
|
|
||||||
{
|
|
||||||
topic: TOPICS.STRATEGY,
|
|
||||||
articles: [
|
|
||||||
"vibe-hackathons",
|
|
||||||
"systems-thinking",
|
|
||||||
"amazon-ai-playbook",
|
|
||||||
"ai-roi-measurement",
|
|
||||||
"ai-judgment-skills",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
{
|
|
||||||
topic: TOPICS.TOOLS,
|
|
||||||
articles: [
|
|
||||||
"skill-gap-mapping",
|
|
||||||
"chatgpt-features",
|
|
||||||
"chatgpt-setup",
|
|
||||||
"undetectable-writing",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
{
|
|
||||||
topic: TOPICS.BUSINESS,
|
|
||||||
articles: [
|
|
||||||
"market-entry-study",
|
|
||||||
"alpha-school",
|
|
||||||
"ai-judgment-skills",
|
|
||||||
],
|
|
||||||
},
|
|
||||||
];
|
|
||||||
|
|
||||||
// Get topics for an article slug
|
|
||||||
export function getTopicsForArticle(slug: string): Topic[] {
|
export function getTopicsForArticle(slug: string): Topic[] {
|
||||||
return ARTICLE_TOPICS[slug] || [];
|
// Dynamically import to avoid circular dependencies
|
||||||
|
// This is called at runtime, not at module load time
|
||||||
|
try {
|
||||||
|
const { ALL_CLAIMS_DATA } = require("@/data/claims");
|
||||||
|
const claim = ALL_CLAIMS_DATA.find((c: any) => c.slug === slug);
|
||||||
|
return claim?.topics || [];
|
||||||
|
} catch {
|
||||||
|
return [];
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
// Get all unique topics
|
// Get all unique topics
|
||||||
|
|
@ -97,9 +59,14 @@ export function getAllTopics(): Topic[] {
|
||||||
return Object.values(TOPICS);
|
return Object.values(TOPICS);
|
||||||
}
|
}
|
||||||
|
|
||||||
// Get article count per topic
|
// Get article count per topic - automatically pulls from centralized claims data
|
||||||
export function getArticleCountByTopic(topicId: string): number {
|
export function getArticleCountByTopic(topicId: string): number {
|
||||||
return Object.values(ARTICLE_TOPICS).filter(topics =>
|
try {
|
||||||
topics.some(t => t.id === topicId)
|
const { ALL_CLAIMS_DATA } = require("@/data/claims");
|
||||||
).length;
|
return ALL_CLAIMS_DATA.filter((claim: any) =>
|
||||||
|
claim.topics.some((t: Topic) => t.id === topicId)
|
||||||
|
).length;
|
||||||
|
} catch {
|
||||||
|
return 0;
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue