diff --git a/packages/langbase/readme.md b/packages/langbase/readme.md
index 4a1b346..9da4adb 100644
--- a/packages/langbase/readme.md
+++ b/packages/langbase/readme.md
@@ -28,31 +28,57 @@ yarn add langbase
 
 You can `generateText` or `streamText` based on the type of a pipe.
 
+Check our [SDK documentation](https://langbase.com/docs) for more details.
+
+### Example projects
+
+Check the following examples:
+- [Node: Generate Text](https://github.com/LangbaseInc/langbase-sdk/blob/main/examples/everything/generate-text.ts)
+- [Node: Stream Text](https://github.com/LangbaseInc/langbase-sdk/blob/main/examples/everything/stream-text.ts)
+- [Next.js Example)](https://github.com/LangbaseInc/langbase-sdk/tree/main/examples/nextjs)
+  - TypeScript code
+  - [React component](https://github.com/LangbaseInc/langbase-sdk/tree/main/examples/nextjs/components/langbase) to display the response
+  - [API Route handlers](https://github.com/LangbaseInc/langbase-sdk/tree/main/examples/nextjs/app/api/langbase/pipe) to send requests to ⌘ Langbase
+
+### Demo code:
+
 ```TypeScript
 import 'dotenv/config';
 import {Pipe} from 'langbase';
 
 // STREAM: OFF
-const pipeStreamOff = new Pipe({
+console.log('STREAM-OFF: generateText()');
+
+// 1. Initiate the Pipe.
+const pipe = new Pipe({
 	apiKey: process.env.PIPE_LESS_WORDY!,
 });
 
-const result = await pipeStreamOff.generateText({
-	messages: [{role: 'user', content: 'Who is Ahmad Awais?'}],
+// 3. Generate the text by asking a question.
+const result = await pipe.generateText({
+	messages: [{role: 'user', content: 'Who is an AI Engineer?'}],
 });
 
+// 4. Done: You got the generated completion.
 console.log(result.completion);
 
+// ======= OR ======== //
+
 // STREAM: ON
-const pipeStreaming = new Pipe({
-	apiKey: process.env.PIPE_LESS_WORDY_STREAM!,
-});
+console.log('');
+console.log('STREAM-ON: streamText()');
 
-const stream = await pipeStreaming.streamText({
-	messages: [{role: 'user', content: 'Who is Ahmad Awais?'}],
+// 2. Generate a stream by asking a question
+const stream = await pipe.streamText({
+	messages: [{role: 'user', content: 'Who is an AI Engineer?'}],
 });
 
+// 3. Print the stream
 for await (const chunk of stream) {
-	process.stdout.write(chunk.choices[0]?.delta?.content || '');
+	// Streaming text part — a single word or several.
+	const textPart = chunk.choices[0]?.delta?.content || '';
+
+	// Demo: Print the stream — you can use it however.
+	process.stdout.write(textPart);
 }
 ```