diff --git a/docs/source/quickstart.md b/docs/source/quickstart.md
index 465e2be27..a96d35c3b 100644
--- a/docs/source/quickstart.md
+++ b/docs/source/quickstart.md
@@ -1,58 +1,82 @@
+# Llama Stack Quickstart Guide
 
-# Quickstart
+This guide will walk you through setting up an end-to-end workflow with Llama Stack, enabling you to perform text generation using the `Llama3.2-11B-Vision-Instruct` model. Follow these steps to get started quickly.
 
-This guide will walk you through the steps to set up an end-to-end workflow with Llama Stack. It focuses on building a Llama Stack distribution and starting up a Llama Stack server. See our [documentation](../README.md) for more on Llama Stack's capabilities, or visit [llama-stack-apps](https://github.com/meta-llama/llama-stack-apps/tree/main) for example apps.
+## Table of Contents
+1. [Prerequisite](#prerequisite)
+2. [Installation](#installation)
+3. [Download Llama Models](#download-llama-models)
+4. [Build, Configure, and Run Llama Stack](#build-configure-and-run-llama-stack)
+5. [Testing with `curl`](#testing-with-curl)
+6. [Testing with Python](#testing-with-python)
+7. [Next Steps](#next-steps)
+
+---
+
+## Prerequisite
+
+Ensure you have the following installed on your system:
+
+- **Conda**: A package, dependency, and environment management tool.
 
 
-## 0. Prerequsite
-Feel free to skip this step if you already have the prerequsite installed.
+---
 
-1. conda (steps to install)
-2.
+## Installation
+
+The `llama` CLI tool helps you manage the Llama Stack toolchain and agent systems.
+
+**Install via PyPI:**
+
+```bash
+pip install llama-stack
+```
+
+*After installation, the `llama` command should be available in your PATH.*
+
+---
+
+## Download Llama Models
+
+Download the necessary Llama model checkpoints using the `llama` CLI:
+
+```bash
+llama download --model-id Llama3.2-11B-Vision-Instruct
+```
+
+*Follow the CLI prompts to complete the download. You may need to accept a license agreement. Obtain an instant license [here](https://www.llama.com/llama-downloads/).*
+
+---
+
+## Build, Configure, and Run Llama Stack
+
+### 1. Build the Llama Stack Distribution
+
+We will default into building a `meta-reference-gpu` distribution, however you could read more about the different distriubtion [here](https://llama-stack.readthedocs.io/en/latest/getting_started/distributions/index.html).
+
+```bash
+llama stack build --template meta-reference-gpu --image-type conda
+```
 
 
-## 1. Installation
+### 2. Run the Llama Stack Distribution
+> Launching a distribution initializes and configures the necessary APIs and Providers, enabling seamless interaction with the underlying model.
 
-The `llama` CLI tool helps you manage the Llama toolchain & agentic systems. After installing the `llama-stack` package, the `llama` command should be available in your path.
+Start the server with the configured stack:
 
-**Install as a package**:
-   Install directly from [PyPI](https://pypi.org/project/llama-stack/) with:
-   ```bash
-   pip install llama-stack
-   ```
+```bash
+cd llama-stack/distributions/meta-reference-gpu
+llama stack run ./run.yaml
+```
 
-## 2. Download Llama models:
+*The server will start and listen on `http://localhost:5000` by default.*
 
+---
 
-   ```
-   llama download --model-id Llama3.1-8B-Instruct
-   ```
-   You will have to follow the instructions in the cli to complete the download, get a instant license here: URL to license.
+## Testing with `curl`
 
-## 3. Build->Configure->Run via Conda:
-   For development, build a LlamaStack distribution from scratch.
+After setting up the server, verify it's working by sending a `POST` request using `curl`:
 
-   **`llama stack build`**
-   Enter build information interactively:
-   ```bash
-   llama stack build
-   ```
-
-   **`llama stack configure`**
-   Run `llama stack configure <name>` using the name from the build step.
-   ```bash
-   llama stack configure my-local-stack
-   ```
-
-   **`llama stack run`**
-   Start the server with:
-   ```bash
-   llama stack run my-local-stack
-   ```
-
-## 4. Testing with Client
-
-After setup, test the server with a POST request:
 ```bash
 curl http://localhost:5000/inference/chat_completion \
 -H "Content-Type: application/json" \
@@ -66,34 +90,95 @@ curl http://localhost:5000/inference/chat_completion \
 }'
 ```
 
-
-## 5. Inference
-
-After setup, test the server with a POST request:
-```bash
-curl http://localhost:5000/inference/chat_completion \
--H "Content-Type: application/json" \
--d '{
-    "model": "Llama3.1-8B-Instruct",
-    "messages": [
-        {"role": "system", "content": "You are a helpful assistant."},
-        {"role": "user", "content": "Write me a 2-sentence poem about the moon"}
-    ],
-    "sampling_params": {"temperature": 0.7, "seed": 42, "max_tokens": 512}
-}'
+**Expected Output:**
+```json
+{
+  "completion_message": {
+    "role": "assistant",
+    "content": "The moon glows softly in the midnight sky,\nA beacon of wonder, as it catches the eye.",
+    "stop_reason": "out_of_tokens",
+    "tool_calls": []
+  },
+  "logprobs": null
+}
 ```
 
+---
+
+## Testing with Python
+
+You can also interact with the Llama Stack server using a simple Python script. Below is an example:
+
+### 1. Install Required Python Packages
+The `llama-stack-client` library offers a robust and efficient python methods for interacting with the Llama Stack server.
+
+```bash
+pip install llama-stack-client
+```
+
+### 2. Create a Python Script (`test_llama_stack.py`)
+
+```python
+from llama_stack_client import LlamaStackClient
+from llama_stack_client.types import SystemMessage, UserMessage
+
+# Initialize the client
+client = LlamaStackClient(base_url="http://localhost:5000")
+
+# Create a chat completion request
+response = client.inference.chat_completion(
+    messages=[
+        SystemMessage(content="You are a helpful assistant.", role="system"),
+        UserMessage(content="Write me a 2-sentence poem about the moon", role="user")
+    ],
+    model="Llama3.1-8B-Instruct",
+)
+
+# Print the response
+print(response.completion_message.content)
+```
+
+### 3. Run the Python Script
+
+```bash
+python test_llama_stack.py
+```
+
+**Expected Output:**
+```
+The moon glows softly in the midnight sky,
+A beacon of wonder, as it catches the eye.
+```
+
+With these steps, you should have a functional Llama Stack setup capable of generating text using the specified model. For more detailed information and advanced configurations, refer to some of our documentation below.
+
+---
+
+## Next Steps
+
+- **Explore Other Guides**: Dive deeper into specific topics by following these guides:
+  - [Understanding Distributions](#)
+  - [Configure your Distro](#)
+  - [Doing Inference API Call and Fetching a Response from Endpoints](#)
+  - [Creating a Conversation Loop](#)
+  - [Sending Image to the Model](#)
+  - [Tool Calling: How to and Details](#)
+  - [Memory API: Show Simple In-Memory Retrieval](#)
+  - [Agents API: Explain Components](#)
+  - [Using Safety API in Conversation](#)
+  - [Prompt Engineering Guide](#)
+
+- **Explore Client SDKs**: Utilize our client SDKs for various languages to integrate Llama Stack into your applications:
+  - [Python SDK](https://github.com/meta-llama/llama-stack-client-python)
+  - [Node SDK](https://github.com/meta-llama/llama-stack-client-node)
+  - [Swift SDK](https://github.com/meta-llama/llama-stack-client-swift)
+  - [Kotlin SDK](https://github.com/meta-llama/llama-stack-client-kotlin)
+
+- **Advanced Configuration**: Learn how to customize your Llama Stack distribution by referring to the [Building a Llama Stack Distribution](./building_distro.md) guide.
+
+- **Explore Example Apps**: Check out [llama-stack-apps](https://github.com/meta-llama/llama-stack-apps/tree/main/examples) for example applications built using Llama Stack.
 
 
-Check our client SDKs for various languages: [Python](https://github.com/meta-llama/llama-stack-client-python), [Node](https://github.com/meta-llama/llama-stack-client-node), [Swift](https://github.com/meta-llama/llama-stack-client-swift), and [Kotlin](https://github.com/meta-llama/llama-stack-client-kotlin).
-
-## Advanced Guides
-
-For more on custom Llama Stack distributions, refer to our [Building a Llama Stack Distribution](./building_distro.md) guide.
+---
 
 
-## Next Steps:
-check out
-
-1.
-2.