diff --git a/src/components/PromptStarter/index.jsx b/src/components/PromptStarter/index.jsx
index b4ab371c..7745a342 100644
--- a/src/components/PromptStarter/index.jsx
+++ b/src/components/PromptStarter/index.jsx
@@ -1,7 +1,7 @@
 import React, { useState, useEffect } from "react";
 import styles from "./styles.module.scss";
 import ContextualMenu from "@site/src/components/ContextualMenu";
-import { getPromptDetails } from "./promptDetails";
+import { getPromptDetails } from "./prompts";
 import { urls } from "../config";
 import { analytics } from "@site/src/utils/analytics";
 
diff --git a/src/components/PromptStarter/promptDetails.js b/src/components/PromptStarter/promptDetails.js
deleted file mode 100644
index 0ce796c6..00000000
--- a/src/components/PromptStarter/promptDetails.js
+++ /dev/null
@@ -1,17 +0,0 @@
-export const promptDetails = {
-  quickstart_prompt: {
-    description: "Build a working movie search app with natural language queries, vector search, and RAG in 5 steps.",
-    short: "The prompt will guide you to create a movie search demo application that uses natural language queries, vector and hybrid search to browse a movie collection.",
-    features: [
-      "Create a Movie collection with text2vec-weaviate vectorizer",
-      "Import 5 sample movies (The Matrix, Inception, The Godfather, Spirited Away, The Dark Knight)",
-      "Use the query agent to retrieve information with natural language queries (only Python & TypeScript)",
-      "Implement vector, hybrid, and keyword search modes",
-      "Add Retrieval Augmented Generation (RAG) with Anthropic for AI-powered movie explanations"
-    ]
-  }
-};
-
-export function getPromptDetails(key) {
-  return promptDetails[key] || null;
-}
diff --git a/src/components/PromptStarter/prompts.js b/src/components/PromptStarter/prompts.js
index d89da0e6..5ba09466 100644
--- a/src/components/PromptStarter/prompts.js
+++ b/src/components/PromptStarter/prompts.js
@@ -1,34 +1,16 @@
-// Prompts for all pages
-// Add new page prompts here as they are created
+import prompts from "@site/static/prompts/index.json";
 
-const BASE_URL = 'https://docs.weaviate.io';
+export const promptDetails = Object.fromEntries(
+  Object.entries(prompts).map(([key, prompt]) => [
+    key,
+    {
+      description: prompt.description,
+      short: prompt.detailedDescription,
+      features: prompt.features,
+    },
+  ])
+);
 
-// Quickstart page prompts
-const quickstartPrompts = {
-  python: `Open this site and follow the instructions: ${BASE_URL}/prompts/quickstart-python.md`,
-  typescript: `Open this site and follow the instructions: ${BASE_URL}/prompts/quickstart-typescript.md`,
-  go: `Open this site and follow the instructions: ${BASE_URL}/prompts/quickstart-go.md`,
-  java: `Open this site and follow the instructions: ${BASE_URL}/prompts/quickstart-java.md`,
-  csharp: `Open this site and follow the instructions: ${BASE_URL}/prompts/quickstart-csharp.md`,
-};
-
-// Map of page identifiers to their prompts
-const prompts = {
-  quickstart: { prompt: quickstartPrompts },
-  // Future pages can be added here:
-  // search: { prompt: searchPrompts },
-  // agents: { prompt: agentsPrompts },
-};
-
-// Cursor deeplink character limit
-export const CURSOR_CHAR_LIMIT = 8000;
-
-// Helper to get prompts for a specific page
-export function getPromptsForPage(page) {
-  const pagePrompts = prompts[page];
-  if (!pagePrompts) {
-    console.warn(`No prompts found for page: ${page}. Available pages: ${Object.keys(prompts).join(", ")}`);
-    return null;
-  }
-  return pagePrompts;
+export function getPromptDetails(key) {
+  return promptDetails[key] || null;
 }
diff --git a/static/prompts/index.json b/static/prompts/index.json
new file mode 100644
index 00000000..edaa3410
--- /dev/null
+++ b/static/prompts/index.json
@@ -0,0 +1,72 @@
+{
+  "quickstart_prompt": {
+    "description": "Build a working movie search app with natural language queries, vector search, and RAG in 5 steps.",
+    "detailedDescription": "The prompt will guide you to create a movie search demo application that uses natural language queries, vector and hybrid search to browse a movie collection.",
+    "features": [
+      "Create a Movie collection with text2vec-weaviate vectorizer",
+      "Import 5 sample movies (The Matrix, Inception, The Godfather, Spirited Away, The Dark Knight)",
+      "Use the query agent to retrieve information with natural language queries (only Python & TypeScript)",
+      "Implement vector, hybrid, and keyword search modes",
+      "Add Retrieval Augmented Generation (RAG) with Anthropic for AI-powered movie explanations"
+    ],
+    "languages": {
+      "python": {
+        "file": "quickstart-python.md",
+        "title": "Build a Weaviate Web App with FastAPI",
+        "framework": "FastAPI + Uvicorn",
+        "tags": [
+          "Create Collection",
+          "Import Data",
+          "Query Agent",
+          "Hybrid Search",
+          "RAG"
+        ],
+        "packages": [
+          "weaviate-client>=4.19.0",
+          "weaviate-agents>=1.2.0",
+          "fastapi",
+          "uvicorn",
+          "python-dotenv"
+        ]
+      },
+      "typescript": {
+        "file": "quickstart-typescript.md",
+        "title": "Build a Weaviate Web App with Next.js",
+        "framework": "Next.js (App Router) + Tailwind CSS",
+        "tags": [
+          "Create Collection",
+          "Import Data",
+          "Query Agent",
+          "Hybrid Search",
+          "RAG"
+        ],
+        "packages": ["weaviate-client@^3.11.0", "weaviate-agents@^1.1.0"]
+      },
+      "go": {
+        "file": "quickstart-go.md",
+        "title": "Build a Weaviate Web App with Gin",
+        "framework": "Gin",
+        "tags": ["Create Collection", "Import Data", "Hybrid Search", "RAG"],
+        "packages": [
+          "github.com/weaviate/weaviate-go-client/v5@v5.6.0",
+          "github.com/gin-gonic/gin",
+          "github.com/joho/godotenv"
+        ]
+      },
+      "java": {
+        "file": "quickstart-java.md",
+        "title": "Build a Weaviate Web App with Spring Boot",
+        "framework": "Spring Boot",
+        "tags": ["Create Collection", "Import Data", "Hybrid Search", "RAG"],
+        "packages": ["io.weaviate:client:6.0.1"]
+      },
+      "csharp": {
+        "file": "quickstart-csharp.md",
+        "title": "Build a Weaviate Web App with ASP.NET Core",
+        "framework": "ASP.NET Core MVC",
+        "tags": ["Create Collection", "Import Data", "Hybrid Search", "RAG"],
+        "packages": ["Weaviate.Client >= 1.0.0"]
+      }
+    }
+  }
+}