Add AI/LLM Ready feature to the website page

- Introduced a new feature highlighting AI and LLM readiness, including MCP tools, rules, and skills for enhanced AI-assisted workflows.
- Updated the comparison rows to reflect the new feature and its capabilities.
- Enhanced the UI to showcase the LLM ready status with relevant icons and descriptions, improving user awareness of AI integration.

These changes enhance the website's presentation of DataQueue's capabilities in AI-assisted development.

Author: nicnocquee

apps/website/app/page.tsx

@@ -20,6 +20,7 @@ import {
   X,
   Minus,
   CalendarClock,
+  Sparkles,
 } from 'lucide-react';
 import { Button } from '@/components/ui/button';
 import { Card, CardContent } from '@/components/ui/card';
@@ -149,6 +150,13 @@ const comparisonRows: ComparisonRow[] = [
     bullmq: 'Third-party',
     trigger: 'Built-in',
   },
+  {
+    feature: 'AI / LLM Ready',
+    dataqueue: 'MCP, rules, skills',
+    pgboss: false,
+    bullmq: false,
+    trigger: 'MCP, rules, skills',
+  },
   {
     feature: 'Wait / Pause Jobs',
     dataqueue: 'waitFor, waitUntil, tokens',
@@ -336,6 +344,12 @@ queue.process<EmailJob>('email', async (job) => {
       description:
         'Add a complete admin dashboard to your Next.js app with a single route file. View, inspect, and manage jobs without building custom UI.',
     },
+    {
+      icon: Sparkles,
+      title: 'LLM Ready',
+      description:
+        'Built for AI-assisted development: MCP tools, Cursor rules, and skills so assistants can reason about your queue, run migrations, and use the API correctly.',
+    },
   ];
 
   const benefits = [
@@ -367,6 +381,11 @@ queue.process<EmailJob>('email', async (job) => {
       description:
         'Easy to integrate into existing Node.js and TypeScript projects',
     },
+    {
+      title: 'AI & LLM Ready',
+      description:
+        'MCP, rules, and skills included so Cursor and other AI tools can work with DataQueue out of the box',
+    },
   ];
 
   return (
@@ -445,13 +464,22 @@ queue.process<EmailJob>('email', async (job) => {
               </span>{' '}
               with ease
             </h1>
-            <p className="mb-8 text-xl text-muted-foreground sm:text-2xl">
+            <p className="mb-4 text-xl text-muted-foreground sm:text-2xl">
               A lightweight job queue backed by{' '}
               <span className="font-semibold text-foreground">PostgreSQL</span>{' '}
               or <span className="font-semibold text-foreground">Redis</span>.
               Use your existing database — no extra infra needed.{' '}
               <span className="highlight-marker">Open Source.</span>
             </p>
+            <p className="mb-8 flex flex-wrap items-center justify-center gap-2 text-base text-muted-foreground sm:text-lg">
+              <span className="inline-flex items-center gap-1.5 rounded-full border border-border/60 bg-card/50 px-3 py-1 font-medium text-foreground/90">
+                <Sparkles className="h-4 w-4 text-purple-500" />
+                LLM ready
+              </span>
+              <span className="text-muted-foreground/80">
+                — MCP, rules & skills for Cursor and AI-assisted workflows
+              </span>
+            </p>
             <div className="flex flex-col items-center justify-center gap-4 sm:flex-row">
               <a
                 href="https://docs.dataqueue.dev/"