brand: Agentic Engineering the Hard Way - positioning across hero, meta, i18n, FAQ, footer, comparisons

site/.vitepress/config.mjs

@@ -1,8 +1,8 @@
 import { defineConfig } from 'vitepress'
 
 export default defineConfig({
-  title: 'FDSA',
-  description: 'Agentic Engineering Course — build, deploy, and maintain production-grade AI agent systems.',
+  title: 'Agentic Engineering the Hard Way',
+  description: 'Build every component from scratch. 65 lessons, 13 labs, 20 skill kits. No black boxes.',
   lang: 'en-US',
   lastUpdated: true,
   cleanUrls: true,
@@ -10,8 +10,8 @@ export default defineConfig({
   head: [
     ['link', { rel: 'icon', href: '/favicon.svg' }],
     ['meta', { name: 'theme-color', content: '#0f0f0f' }],
-    ['meta', { property: 'og:title', content: 'FDSA — Agentic Engineering Course' }],
-    ['meta', { property: 'og:description', content: '65 lessons, 13 labs, 20 skill kits. Build production-grade AI agent systems.' }],
+    ['meta', { property: 'og:title', content: 'Agentic Engineering the Hard Way' }],
+    ['meta', { property: 'og:description', content: '65 lessons, 13 labs, 20 skill kits. Build production-grade AI agent systems from scratch. No black boxes.' }],
     ['meta', { property: 'og:image', content: '/og-image.svg' }],
     ['meta', { name: 'twitter:card', content: 'summary_large_image' }],
     ['link', { rel: 'preconnect', href: 'https://fonts.googleapis.com' }],
@@ -169,35 +169,35 @@ export default defineConfig({
       root: {
         label: 'English',
         lang: 'en-US',
-        title: 'FDSA',
-        description: 'Agentic Engineering Course — build, deploy, and maintain production-grade AI agent systems.',
+        title: 'Agentic Engineering the Hard Way',
+        description: 'Build every component from scratch. 65 lessons, 13 labs, 20 skill kits. No black boxes, no magic SDKs.',
       },
       es: {
         label: 'Español',
         lang: 'es-ES',
-        title: 'FDSA',
-        description: 'Curso de Ingeniería de Agentes — construye, despliega y mantiene sistemas de IA agentivos en producción.',
+        title: 'Agentic Engineering the Hard Way',
+        description: 'Construye cada componente desde cero. 65 lecciones, 13 laboratorios, 20 kits de habilidades.',
         link: '/es/',
       },
       pt: {
         label: 'Português',
         lang: 'pt-BR',
-        title: 'FDSA',
-        description: 'Curso de Engenharia de Agentes — construa, implante e mantenha sistemas de IA agentivos em produção.',
+        title: 'Agentic Engineering the Hard Way',
+        description: 'Construa cada componente do zero. 65 lições, 13 laboratórios, 20 kits de habilidades.',
         link: '/pt/',
       },
       it: {
         label: 'Italiano',
         lang: 'it-IT',
-        title: 'FDSA',
-        description: 'Corso di Ingegneria degli Agenti — costruisci, distribuisci e mantieni sistemi di IA agentivi in produzione.',
+        title: 'Agentic Engineering the Hard Way',
+        description: 'Costruisci ogni componente da zero. 65 lezioni, 13 laboratori, 20 kit di abilità.',
         link: '/it/',
       },
       ar: {
         label: 'العربية',
         lang: 'ar-SA',
-        title: 'FDSA',
-        description: 'دورة هندسة الوكلاء — بناء ونشر وصيانة أنظمة الذكاء الاصطناعي الوكيلية في الإنتاج',
+        title: 'هندسة الوكلاء بالطريقة الصعبة',
+        description: 'بناء كل مكون من الصفر. 65 درسًا، 13 مختبرًا، 20 مجموعة مهارات.',
         link: '/ar/',
         dir: 'rtl',
       },

site/.vitepress/dist/assets/app.D10YnN7j.js

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site/.vitepress/dist/assets/free-preview.md.CqgbxJtZ.js

@@ -1,3 +0,0 @@
-import{c as e,Q as a,j as s,m as n}from"./chunks/framework.BPKcPtvA.js";const p=JSON.parse('{"title":"Free Preview: Lesson 1.1 — What Makes an Agent?","description":"","frontmatter":{},"headers":[],"relativePath":"free-preview.md","filePath":"free-preview.md","lastUpdated":1780491906000}'),o={name:"free-preview.md"};function i(r,t,d,l,h,c){return a(),s("div",null,[...t[0]||(t[0]=[n(`<h1 id="free-preview-lesson-1-1-—-what-makes-an-agent" tabindex="-1">Free Preview: Lesson 1.1 — What Makes an Agent? <a class="header-anchor" href="#free-preview-lesson-1-1-—-what-makes-an-agent" aria-label="Permalink to &quot;Free Preview: Lesson 1.1 — What Makes an Agent?&quot;">​</a></h1><p>This is a sample lesson from <strong>Module 1: Foundations</strong> of the FDSA Agentic Engineering Course. Full course includes 65 lessons, 13 labs, and 20 skill kits.</p><hr><h2 id="lesson-1-1-what-makes-an-agent" tabindex="-1">Lesson 1.1: What Makes an Agent? <a class="header-anchor" href="#lesson-1-1-what-makes-an-agent" aria-label="Permalink to &quot;Lesson 1.1: What Makes an Agent?&quot;">​</a></h2><p><strong>Definition</strong>: An AI agent = LLM + Tools + Loop. Without any one of these three, it&#39;s not an agent.</p><div class="language- vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang"></span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>Agent = LLM (reasoning engine)</span></span>
-<span class="line"><span>      + Tools (capability surface)</span></span>
-<span class="line"><span>      + Loop (autonomous decision cycle)</span></span></code></pre></div><ul><li>A single LLM call with no tools = chatbot</li><li>An LLM with tools but no loop = augmented inference</li><li>Tools + loop + LLM = agent (it can decide what to do next)</li></ul><h3 id="the-three-components" tabindex="-1">The Three Components <a class="header-anchor" href="#the-three-components" aria-label="Permalink to &quot;The Three Components&quot;">​</a></h3><p><strong>LLM</strong> — The reasoning engine. Given context + available tools, it decides which tool to call and with what parameters. The LLM is NOT the agent — it&#39;s the brain of the agent. Different models have different reasoning capabilities, but the core function is the same: given a situation and available actions, decide what to do.</p><p><strong>Tools</strong> — The capability surface. Functions the agent can call: read files, run commands, search the web, query databases, call APIs. Each tool has a name, description, and input schema. The tool surface defines what the agent CAN do — everything outside this surface is something the agent cannot do, no matter how smart the LLM is.</p><p><strong>Loop</strong> — The autonomous decision cycle. Think (LLM decides) → Act (tool executes) → Observe (result comes back) → Repeat. The loop is what makes it autonomous. Without a loop, you have a single decision. With a loop, you have an agent that can work toward a goal across multiple steps.</p><h3 id="why-this-matters" tabindex="-1">Why This Matters <a class="header-anchor" href="#why-this-matters" aria-label="Permalink to &quot;Why This Matters&quot;">​</a></h3><p>This definition is not academic. Every production agent failure I&#39;ve seen traces back to one of these three:</p><table tabindex="0"><thead><tr><th>Failure</th><th>Root Cause</th></tr></thead><tbody><tr><td>Agent does something unexpected</td><td>Loop didn&#39;t terminate correctly</td></tr><tr><td>Agent can&#39;t do the task</td><td>Tools are insufficient for the task</td></tr><tr><td>Agent makes bad decisions</td><td>LLM doesn&#39;t have enough context</td></tr><tr><td>Agent costs too much</td><td>Loop runs too many iterations</td></tr></tbody></table><p>If you understand these three components and how they interact, you can debug any agent system. If you don&#39;t, you&#39;re guessing.</p><hr><h2 id="what-you-ll-learn-in-the-full-course" tabindex="-1">What You&#39;ll Learn in the Full Course <a class="header-anchor" href="#what-you-ll-learn-in-the-full-course" aria-label="Permalink to &quot;What You&#39;ll Learn in the Full Course&quot;">​</a></h2><table tabindex="0"><thead><tr><th>Module</th><th>Topic</th><th>Lessons</th><th>Labs</th></tr></thead><tbody><tr><td>M1</td><td>Foundations</td><td>8 lessons</td><td>1 lab</td></tr><tr><td>M2</td><td>Agent Architecture</td><td>7 lessons</td><td>2 labs</td></tr><tr><td>M3</td><td>Safety &amp; Security</td><td>7 lessons</td><td>2 labs</td></tr><tr><td>M4</td><td>Multi-Agent Orchestration</td><td>11 lessons</td><td>2 labs</td></tr><tr><td>M5</td><td>Production Systems</td><td>10 lessons</td><td>2 labs</td></tr><tr><td>M6</td><td>Model Economics</td><td>7 lessons</td><td>2 labs</td></tr><tr><td>M7</td><td>Advanced Patterns</td><td>8 lessons</td><td>2 labs</td></tr><tr><td>M8</td><td>Capstone Project</td><td>—</td><td>Build &amp; deploy</td></tr></tbody></table><p><a href="/buy">Enroll Now — $97</a> · <a href="/modules/curriculum">View Full Curriculum</a></p><p><em>Note: This preview shows approximately 30% of a single lesson. Full lessons include code examples, diagrams, quiz questions, and lab exercises.</em></p>`,20)])])}const g=e(o,[["render",i]]);export{p as __pageData,g as default};

site/.vitepress/dist/assets/free-preview.md.CqgbxJtZ.lean.js

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site/.vitepress/dist/hashmap.json

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site/.vitepress/theme/LandingLayout.vue

@@ -23,9 +23,9 @@
         <div class="hero-grid"></div>
         <div class="hero-glow"></div>
         <div class="hero-inner">
-          <div class="hero-pill"><span class="pill-dot"></span>NOW ENROLLING</div>
-          <h1>Master <span class="hlt">Agentic Engineering</span></h1>
-          <p class="hero-sub">65 lessons, 13 labs, 20 skill kits. Build production-grade multi-agent systems that are secure, cost-optimized, and always-on.</p>
+          <div class="hero-pill"><span class="pill-dot"></span>THE HARD WAY</div>
+          <h1>Agentic Engineering <span class="hlt">the Hard Way</span></h1>
+          <p class="hero-sub">Build every component from scratch. 65 lessons, 13 labs, 20 skill kits. No black boxes, no magic SDKs — just you, the harness, and the loop.</p>
           <div class="hero-actions">
             <a href="/buy" class="btn-p btn-primary">Enroll Now — $97</a>
             <a href="/free-preview" class="btn-p btn-ghost">Free Preview</a>
@@ -68,7 +68,7 @@
       <!-- Features -->
       <section class="sec" id="features">
         <div class="sec-label">What You'll Build</div>
-        <h2 class="sec-title">Production-Ready Agent Systems</h2>
+        <h2 class="sec-title">Production Systems. From Scratch.</h2>
         <div class="feat-grid">
           <div class="gc" v-for="f in features" :key="f.t">
             <div class="gci"><span class="material-symbols-outlined">{{ f.icon }}</span></div>
@@ -124,7 +124,7 @@
               <h3>Artale</h3>
               <p class="instructor-role">Founder, FDSA Agency</p>
               <p class="instructor-bio">I've spent the last two years building production multi-agent systems — from <strong>CEO Boards</strong> for strategic decision-making to <strong>Brand Monitor</strong> for always-on reputation tracking, to <strong>UI Agents</strong> that generate production Vue components. This course distills everything I learned shipping real agent systems, not toy demos.</p>
-              <p class="instructor-bio">Every pattern in this course — the 6-level security ladder, P-threads, cascade routing, the verifier pattern — came from building systems that had to work reliably in production. If it's in the course, it's been battle-tested.</p>
+              <p class="instructor-bio">Every pattern in this course — the 6-level security ladder, P-threads, cascade routing, the verifier pattern — came from building systems that had to work reliably in production. We build everything from scratch. No black boxes, no SDK abstractions. This is <strong>Agentic Engineering the Hard Way</strong>.</p>
             </div>
           </div>
         </div>
@@ -196,8 +196,8 @@
       <div class="ft-inner">
         <div class="ft-grid">
           <div class="ft-brand">
-            <div class="ft-l">FDSA</div>
-            <div class="ft-desc">Agentic Engineering Course — part of the fdsa.ai orchestration platform.</div>
+            <div class="ft-l">Agentic Engineering the Hard Way</div>
+            <div class="ft-desc">Part of the FDSA Agency — fdsa.ai orchestration platform.</div>
           </div>
           <div class="ft-col">
             <div class="ft-h">Course</div>
@@ -271,14 +271,14 @@ const testimonials = [
 const faqs = [
   { q: 'Do I need API keys to run the labs?', a: 'No. All 13 labs include a mock LLM client that works offline. You only need API keys if you want to run against real models.', open: false },
   { q: 'What tools/CLIs does this course cover?', a: 'The course is tool-agnostic. The concepts apply to Claude Code, Pi Agent, OpenCode, Gemini CLI, and any agent harness. Labs use Python with an Anthropic-style API that\'s easy to adapt.', open: false },
-  { q: 'How does FDSA compare to TAC or ClaudeFAST?', a: 'TAC ($97-147) focuses on tactical coding with 14 lessons. ClaudeFAST ($89-299) sells skill kits with 280 skills. FDSA ($97-247) gives you 65 lessons across 8 modules AND 20 skill kits — the most comprehensive single package for production agentic engineering.', open: false },
+  { q: 'How does FDSA compare to TAC or ClaudeFAST?', a: 'TAC ($97-147) focuses on tactical coding with 14 lessons. ClaudeFAST ($89-299) sells skill kits with 280 skills. FDSA ($97-247) gives you 65 lessons across 8 modules AND 20 skill kits — and we build everything from scratch. No SDK wrappers, no black boxes. That\'s the Hard Way difference.', open: false },
   { q: 'How long does the course take?', a: 'Self-paced: 40-60 hours total. Most students complete M1-M7 in 4-6 weeks. M8 capstone adds 1-2 weeks.', open: false },
   { q: 'What\'s the refund policy?', a: '30-day guarantee. If you\'re not satisfied, email artale@fdsa.agency for a full refund.', open: false },
   { q: 'Can I buy individual skill kits?', a: 'Yes. Security Foundation ($49), Multi-Agent Orch ($49), Verifier Pro ($39), and 4 more kits available individually on the pricing page.', open: false },
 ]
 
 const comparisons = [
-  { name: 'FDSA', pros: ['65 lessons + 13 labs', '20 skill kits included', '8 modules (foundations to capstone)', 'Mock LLM for offline work', 'Tool-agnostic (any CLI)', '30-day guarantee'], cons: ['Newer platform', 'No video content yet', 'Community still growing'] },
+  { name: 'FDSA (the Hard Way)', pros: ['65 lessons + 13 labs', '20 skill kits included', 'Build from scratch, no black boxes', 'Mock LLM for offline work', 'Tool-agnostic (any CLI)', '30-day guarantee'], cons: ['Newer platform', 'No video content yet', 'Community still growing'] },
   { name: 'TAC', pros: ['14 focused lessons', '4 reference repos', 'Active YouTube channel', 'Proven track record'], cons: ['$97-147 for less content', 'No skill kits', 'No capstone project', 'Claude Code focused only'] },
   { name: 'ClaudeFAST', pros: ['280 skill files', '16 agent definitions', '$89 entry price', 'Active community'], cons: ['$299 for full access', 'No structured modules', 'No hands-on labs', 'Claude Code only'] },
   { name: 'Learn Harness', pros: ['Free (Anthropic)', '6 projects', '11 languages', 'Official Anthropic'], cons: ['No advanced patterns', 'No skill kits', 'No capstone', 'No security ladder'] },

site/free-preview.md

@@ -1,6 +1,6 @@
 # Free Preview: Lesson 1.1 — What Makes an Agent?
 
-This is a sample lesson from **Module 1: Foundations** of the FDSA Agentic Engineering Course. Full course includes 65 lessons, 13 labs, and 20 skill kits.
+This is a sample lesson from **Agentic Engineering the Hard Way** (Module 1: Foundations). Full course includes 65 lessons, 13 labs, and 20 skill kits — all building from scratch, no black boxes.
 
 ---