fix: update iApp documentation for improved accuracy and clarity

- Changed "Verifiable Execution" to "Trusted Execution" to reflect the use of Trusted Execution Environments (TEEs) for secure code execution.
- Revised the description of "Zero Trust Architecture" to emphasize hardware-based TEEs for data protection.
- Updated terminology from "personal data" to "private data" for consistency and clarity.
- Enhanced real-world examples of iApps with additional context and code snippets in both Python and Node.js, ensuring better understanding of their functionality and privacy preservation.

Author: akugone

src/build-iapp/guides/build-&-deploy-iapp.md

@@ -34,32 +34,82 @@ iapp deploy
 
 ## Real Examples
 
+Here are some real-world examples of iApps to help you understand how they work
+in practice.
+
 **Email Notification iApp**
 
-```python
+This iApp lets you send updates to your contacts without ever seeing their email
+addresses, privacy is preserved by design.
+
+::: code-group
+
+```python [Python]
 # User runs: "Send updates to my contacts about my project"
 contacts = load_protecteddata()  # User's protected contact list
 for contact in contacts:
-    send_email(contact, project_update_message)
+   send_email(contact, project_update_message)
 # → Emails sent directly, you never see the addresses
 ```
 
+```js [Node.js]
+/* User runs: "Send updates to my contacts about my project" */
+const contacts = loadProtectedData(); // User's protected contact list
+contacts.forEach((contact) => {
+  sendEmail(contact, projectUpdateMessage);
+});
+// → Emails sent directly, you never see the addresses
+```
+
+:::
+
 **Oracle Update iApp**
 
-```python
+This iApp securely updates a price oracle using private trading data, ensuring
+sensitive information stays confidential.
+
+::: code-group
+
+```python [Python]
 # User runs: "Update price oracle with my private trading data"
 trading_data = load_protecteddata()  # User's protected trading history
 average_price = calculate_weighted_average(trading_data)
 update_oracle_contract(average_price)
 # → Oracle updated with real data, trading history stays private
 ```
 
+```js [Node.js]
+/* User runs: "Update price oracle with my private trading data" */
+const tradingData = loadProtectedData(); // User's protected trading history
+const averagePrice = calculateWeightedAverage(tradingData);
+updateOracleContract(averagePrice);
+// → Oracle updated with real data, trading history stays private
+```
+
+:::
+
 **Automated Transactions iApp**
 
-```python
-# User runs: "Buy tokens when my portfolio meets certain conditions"
-portfolio = load_protecteddata()  # User's protected portfolio data
-if should_buy_tokens(portfolio):
-    execute_trade(token_address, amount)
-# → Trade executed based on private data, portfolio details stay hidden
+This iApp automates monthly payments using protected payment details, so
+financial information remains private.
+
+::: code-group
+
+```python [Python]
+# User runs: "Automate payments every month"
+payment_info = load_protecteddata()  # User's payment details
+for month in range(12):
+   process_payment(payment_info)
+# → Payments processed, payment details stay private
+```
+
+```js [Node.js]
+/* User runs: "Automate payments every month" */
+const paymentInfo = loadProtectedData(); // User's payment details
+for (let month = 0; month < 12; month++) {
+  processPayment(paymentInfo);
+}
+// → Payments processed, payment details stay private
 ```
+
+:::

src/build-iapp/what-is-iapp.md

@@ -49,15 +49,15 @@ they will.**
   </div>
   <div class="bg-[var(--vp-c-bg-soft)] rounded-[6px] p-4 flex items-center gap-3">
     <span class="text-green-500 text-xl">✅</span>
-    <p class="m-0"><strong>Verifiable Execution:</strong> Cryptographic proof that your code ran exactly as intended. No black box execution.</p>
+    <p class="m-0"><strong>Trusted Execution:</strong> iExec ensures that your code runs inside a Trusted Execution Environment (TEE), which guarantees that only the specified Docker image is executed in a secure and isolated environment.</p>
   </div>
   <div class="bg-[var(--vp-c-bg-soft)] rounded-[6px] p-4 flex items-center gap-3">
     <span class="text-green-500 text-xl">✅</span>
     <p class="m-0"><strong>Decentralized Infrastructure:</strong> No single point of failure. Your app runs across a distributed network of workers.</p>
   </div>
   <div class="bg-[var(--vp-c-bg-soft)] rounded-[6px] p-4 flex items-center gap-3">
     <span class="text-green-500 text-xl">✅</span>
-    <p class="m-0"><strong>Zero Trust Architecture:</strong> Users don't need to trust you with their data. The protocol guarantees privacy.</p>
+    <p class="m-0"><strong>Zero Trust Architecture:</strong> User data is protected by hardware-based TEEs, which keep data confidential and inaccessible to the host, cloud provider, or operating system during execution.</p>
   </div>
 </div>
 
@@ -75,7 +75,7 @@ to the person running the app.
   <div class="flex flex-col gap-3">
     <div class="flex items-center gap-3">
       <span class="bg-blue-500 text-white rounded-full w-6 h-6 flex items-center justify-center text-xs font-bold">1</span>
-      <span>User provides personal data</span>
+      <span>User provides private data</span>
     </div>
     <div class="flex items-center gap-3">
       <span class="bg-blue-500 text-white rounded-full w-6 h-6 flex items-center justify-center text-xs font-bold">2</span>
@@ -129,15 +129,15 @@ preserved.
       <span>🤖</span>
       <h3 class="font-semibold m-0!">Personal AI Assistants</h3>
     </div>
-    <p class="text-sm m-0!">Users let AI models perform actions based on their private data - trading, scheduling, recommendations.</p>
+    <p class="text-sm m-0!">Users let AI models perform actions based on their private data - trading, scheduling, recommendations...</p>
   </div>
 
   <div class="bg-[var(--vp-c-bg-soft)] rounded-[6px] p-6 flex flex-col gap-2">
     <div class="flex items-baseline gap-2 text-lg">
       <span>⚡</span>
       <h3 class="font-semibold m-0!">Automated Actions</h3>
     </div>
-    <p class="text-sm m-0!">Users set up automated workflows that use their private data to trigger actions, transactions, or updates.</p>
+      <p class="text-sm m-0!">Users let AI models perform actions based on their private data - trading, scheduling, recommendations...</p>
   </div>
 </div>