diff --git a/README.md b/README.md
index a5e5b217d..baec8c1bd 100644
--- a/README.md
+++ b/README.md
@@ -7,13 +7,13 @@
 
 [**Quick Start**](https://llama-stack.readthedocs.io/en/latest/getting_started/index.html) | [**Documentation**](https://llama-stack.readthedocs.io/en/latest/index.html) | [**Colab Notebook**](./docs/getting_started.ipynb)
 
-Llama Stack defines and standardizes the core building blocks that simplify AI application development. It codified best practices across the Llama ecosystem. More specifically, it provides
+Llama Stack standardizes the core building blocks that simplify AI application development. It codifies best practices across the Llama ecosystem. More specifically, it provides
 
 - **Unified API layer** for Inference, RAG, Agents, Tools, Safety, Evals, and Telemetry.
-- **Plugin architecture** to support the rich ecosystem of implementations of the different APIs in different environments like local development, on-premises, cloud, and mobile.
-- **Prepackaged verified distributions** which offer a one-stop solution for developers to get started quickly and reliably in any environment
-- **Multiple developer interfaces** like CLI and SDKs for Python, Typescript, iOS, and Android
-- **Standalone applications** as examples for how to build production-grade AI applications with Llama Stack
+- **Plugin architecture** to support the rich ecosystem of different API implementations in various environments, including local development, on-premises, cloud, and mobile.
+- **Prepackaged verified distributions** which offer a one-stop solution for developers to get started quickly and reliably in any environment.
+- **Multiple developer interfaces** like CLI and SDKs for Python, Typescript, iOS, and Android.
+- **Standalone applications** as examples for how to build production-grade AI applications with Llama Stack.
 
 <div style="text-align: center;">
   <img
@@ -25,14 +25,14 @@ Llama Stack defines and standardizes the core building blocks that simplify AI a
 </div>
 
 ### Llama Stack Benefits
-- **Flexible Options**: Developers can choose their preferred infrastructure without changing APIs and enjoy flexible deployment choice.
-- **Consistent Experience**: With its unified APIs Llama Stack makes it easier to build, test, and deploy AI applications with consistent application behavior.
+- **Flexible Options**: Developers can choose their preferred infrastructure without changing APIs and enjoy flexible deployment choices.
+- **Consistent Experience**: With its unified APIs, Llama Stack makes it easier to build, test, and deploy AI applications with consistent application behavior.
 - **Robust Ecosystem**: Llama Stack is already integrated with distribution partners (cloud providers, hardware vendors, and AI-focused companies) that offer tailored infrastructure, software, and services for deploying Llama models.
 
 By reducing friction and complexity, Llama Stack empowers developers to focus on what they do best: building transformative generative AI applications.
 
 ### API Providers
-Here is a list of the various API providers and available distributions to developers started easily,
+Here is a list of the various API providers and available distributions that can help developers get started easily with Llama Stack. 
 
 | **API Provider Builder** |    **Environments**    | **Agents** | **Inference** | **Memory** | **Safety** | **Telemetry** |
 |:------------------------:|:----------------------:|:----------:|:-------------:|:----------:|:----------:|:-------------:|
@@ -71,15 +71,15 @@ A Llama Stack Distribution (or "distro") is a pre-configured bundle of provider
 
 You have two ways to install this repository:
 
-1. **Install as a package**:
+* **Install as a package**:
    You can install the repository directly from [PyPI](https://pypi.org/project/llama-stack/) by running the following command:
    ```bash
    pip install llama-stack
    ```
 
-2. **Install from source**:
+* **Install from source**:
    If you prefer to install from the source code, make sure you have [conda installed](https://docs.conda.io/projects/conda/en/stable).
-   Then, follow these steps:
+   Then, run the following commands:
    ```bash
     mkdir -p ~/local
     cd ~/local
@@ -96,10 +96,11 @@ You have two ways to install this repository:
 
 Please checkout our [Documentation](https://llama-stack.readthedocs.io/en/latest/index.html) page for more details.
 
-* [CLI reference](https://llama-stack.readthedocs.io/en/latest/references/llama_cli_reference/index.html)
-    * Guide using `llama` CLI to work with Llama models (download, study prompts), and building/starting a Llama Stack distribution.
-* [Getting Started](https://llama-stack.readthedocs.io/en/latest/getting_started/index.html)
-    * Quick guide to start a Llama Stack server.
+* CLI references
+    * [llama (server-side) CLI Reference](https://llama-stack.readthedocs.io/en/latest/references/llama_cli_reference/index.html): Guide for using the `llama` CLI to work with Llama models (download, study prompts), and building/starting a Llama Stack distribution.
+    * [llama (client-side) CLI Reference](https://llama-stack.readthedocs.io/en/latest/references/llama_stack_client_cli_reference.html): Guide for using the `llama-stack-client` CLI, which allows you to query information about the distribution.
+* Getting Started
+    * [Quick guide to start a Llama Stack server](https://llama-stack.readthedocs.io/en/latest/getting_started/index.html).
     * [Jupyter notebook](./docs/getting_started.ipynb) to walk-through how to use simple text and vision inference llama_stack_client APIs
     * The complete Llama Stack lesson [Colab notebook](https://colab.research.google.com/drive/1dtVmxotBsI4cGZQNsJRYPrLiDeT0Wnwt) of the new [Llama 3.2 course on Deeplearning.ai](https://learn.deeplearning.ai/courses/introducing-multimodal-llama-3-2/lesson/8/llama-stack).
     * A [Zero-to-Hero Guide](https://github.com/meta-llama/llama-stack/tree/main/docs/zero_to_hero_guide) that guide you through all the key components of llama stack with code samples.
@@ -115,6 +116,6 @@ Please checkout our [Documentation](https://llama-stack.readthedocs.io/en/latest
 | Typescript   | [llama-stack-client-typescript](https://github.com/meta-llama/llama-stack-client-typescript) | [![NPM version](https://img.shields.io/npm/v/llama-stack-client.svg)](https://npmjs.org/package/llama-stack-client)
 | Kotlin | [llama-stack-client-kotlin](https://github.com/meta-llama/llama-stack-client-kotlin) | [![Maven version](https://img.shields.io/maven-central/v/com.llama.llamastack/llama-stack-client-kotlin)](https://central.sonatype.com/artifact/com.llama.llamastack/llama-stack-client-kotlin)
 
-Check out our client SDKs for connecting to Llama Stack server in your preferred language, you can choose from [python](https://github.com/meta-llama/llama-stack-client-python), [typescript](https://github.com/meta-llama/llama-stack-client-typescript), [swift](https://github.com/meta-llama/llama-stack-client-swift), and [kotlin](https://github.com/meta-llama/llama-stack-client-kotlin) programming languages to quickly build your applications.
+Check out our client SDKs for connecting to a Llama Stack server in your preferred language, you can choose from [python](https://github.com/meta-llama/llama-stack-client-python), [typescript](https://github.com/meta-llama/llama-stack-client-typescript), [swift](https://github.com/meta-llama/llama-stack-client-swift), and [kotlin](https://github.com/meta-llama/llama-stack-client-kotlin) programming languages to quickly build your applications.
 
 You can find more example scripts with client SDKs to talk with the Llama Stack server in our [llama-stack-apps](https://github.com/meta-llama/llama-stack-apps/tree/main/examples) repo.