docs(readme,landing): lead the story with automatic agent building (#52)

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

packages/landing/src/lib/strings-en.ts

@@ -20,6 +20,8 @@ export const en: Strings = {
   nav: {
     highlights: "Highlights",
     quickstart: "Quick start",
+    cases: "Cases",
+    scenarios: "Scenarios",
     benchmark: "Benchmark",
     contract: "CONTRACT.md",
     features: "Features",
@@ -45,11 +47,13 @@ export const en: Strings = {
   },
 
   hero: {
-    badge: "Build AI agents, with an Agent",
-    titlePrefix: "Efficient Self-Improving Harness for ",
-    titleWords: ["Developers", "Enterprises"],
+    badge: "Agents building agents",
+    // The trailing space lives in the PREFIX (a breakable space before the nowrap
+    // span) — inside titleNoWrap it would glue "Builder" to the unbreakable chunk.
+    titlePrefix: "Your Automated Agent Builder ",
+    titleNoWrap: "Lives on Your ",
+    titleWords: ["Desktop", "Server"],
     titleSuffix: "",
-    titleSuffixNoWrap: "",
     keywords: ["Lightweight", "Efficient", "Open Source"],
     ctaPrimary: "Get started",
     ctaGithub: "GitHub",
@@ -99,8 +103,10 @@ export const en: Strings = {
   compare: {
     eyebrow: "vs. LangChain",
     title: "The gap between 1× and 100×",
-    subtitle:
-      "With LangChain, you build agents by hand — at 1× speed. With PenguinHarness, agents build agents — at 100×.",
+    subtitle: [
+      "With LangChain, you build agents by hand — at 1× speed.",
+      "With PenguinHarness, agents build agents — at 100×.",
+    ],
     langchain: {
       name: "LangChain",
       speed: "1×",
@@ -212,6 +218,24 @@ export const en: Strings = {
     ],
   },
 
+  scenarios: {
+    eyebrow: "Scenarios",
+    title: "From screening centers to factory floors",
+    subtitle: "Real deployments in production — not concept demos.",
+    items: [
+      {
+        title: "Screening-report QC",
+        alt: "A CT scanner room at a health screening center",
+        body: "A health-screening group handed report QC to an agent on a locally deployed Qwen3 14B — data never leaves the facility. A review round that took 30 minutes by hand now clears 30 reports a minute, with findings in line with medical experts and several times the review capacity.",
+      },
+      {
+        title: "Production-line inspection",
+        alt: "An automated semiconductor production line",
+        body: "A manufacturer runs inspection agents across its production lines, watching equipment around the clock and trying automated recovery first when something goes wrong. Downtime is down 65%; output roughly doubled.",
+      },
+    ],
+  },
+
   contract: {
     eyebrow: "A contract for stable evolution",
     title: "CONTRACT.md",
@@ -266,7 +290,7 @@ export const en: Strings = {
 
   benchmark: {
     eyebrow: "Benchmark",
-    title: "Each with its flagship model — comparable quality, 1-2 orders of magnitude cheaper",
+    title: "Outstanding results at tens of times less cost",
     subtitle:
       "Every product runs the model it is normally paired with, head-to-head against Claude Code and OpenAI Codex on two suites: comparable accuracy, tens of times the difference in spend.",
     higherBetter: "higher is better",