diff --git a/concepts/evaluators/built-in-evaluators.mdx b/concepts/evaluators/built-in-evaluators.mdx
index e8bccd0..17c22c6 100644
--- a/concepts/evaluators/built-in-evaluators.mdx
+++ b/concepts/evaluators/built-in-evaluators.mdx
@@ -80,7 +80,7 @@ Flexible value matching with multiple modes and logic options.
 | `logic` | string | `"any"` | `"any"` = match any value, `"all"` = match all |
 | `match_on` | string | `"match"` | `"match"` = trigger when found, `"no_match"` = trigger when NOT found |
 | `match_mode` | string | `"exact"` | `"exact"` = full string match, `"contains"` = word-boundary match |
-| `case_sensitive` | bool | `false` | Case sensitivity |
+| `case_sensitive` | bool | `False` | Case sensitivity |
 
 <Note>
 `match_mode="contains"` uses word-boundary matching, not generic substring matching. For example, `"admin"` will match `"admin user"` but will NOT match `"sysadministrator"`.
@@ -96,7 +96,7 @@ Flexible value matching with multiple modes and logic options.
     "values": ["admin", "root", "sudo", "superuser"],
     "logic": "any",
     "match_mode": "contains",
-    "case_sensitive": false
+    "case_sensitive": False
   }
 }
 
diff --git a/core/quickstart.mdx b/core/quickstart.mdx
index e4e7531..815e10e 100644
--- a/core/quickstart.mdx
+++ b/core/quickstart.mdx
@@ -4,22 +4,34 @@ description: Install Agent Control, start the server, and protect your first age
 icon: "rocket"
 ---
 
-Protect your AI agent in 4 simple steps.
+The instructions on this page describe two ways to install Agent Control for testing in your local environment:
+
+- Quick setup using prebuilt Docker images.
+- Local development using the `agent-control` GitHub repository.
 
 ## Prerequisites
 
 - **Python 3.12+**
 
-- **Docker**
+- **uv**
+
+- **Docker** — for quick setup
+
+- **Node.js 18+** — for the local development web dashboard (optional)
+
+This tutorial was tested on macOS.
 
-<Tip>
-**Quick setup (no repo cloning required)** - Copy this into your terminal or directly paste into your coding agent to start the Agent Control server, UI:
+## Install Agent Control
+
+### Quick setup (Docker)
+
+To start the Agent Control server and UI, copy the following command into your terminal or paste into your coding agent:
 
 ```bash
 curl -L https://raw.githubusercontent.com/agentcontrol/agent-control/refs/heads/main/docker-compose.yml | docker compose -f - up -d
 ```
 
-Then, install sdk in your virtual env:
+Then, install the SDK in your virtual environment:
 
 ```bash
 uv venv
@@ -27,31 +39,19 @@ source .venv/bin/activate
 uv pip install agent-control-sdk
 ```
 
-**What this does:**
+What this does:
 
 - ✅ Starts Agent Control server at `http://localhost:8000`
 - ✅ Starts UI dashboard at `http://localhost:8000`
 - ✅ Installs Python SDK (`agent-control-sdk`)
 
-**Next:** Jump to [Step 3: Register your agent](#step-3-register-your-agent)
-
-</Tip>
-
-
-**Alternatively**, for local development with the Agent Control repository, clone the repo and follow all steps below.
-
-
-## Step 1: Start the Agent Control Server
-
-Startup AgentControl server manually for local development.
-
-### Local development (cloning the repo)
+Confirm you can access the Agent Control UI at `http://localhost:8000` and continue to [Register your agent](#register-your-agent).
 
-Prerequisites:
+### Local development (GitHub repository)
 
-- **uv** — Fast Python package manager (`curl -LsSf https://astral.sh/uv/install.sh | sh`)
+Start the AgentControl server manually for local development.
 
-- **Node.js 18+** — For the web dashboard (optional)
+#### Clone the repository and start Agent Control
 
 ```bash
 
@@ -80,7 +80,7 @@ make ui-dev
 
 > 💡 **Verify the server:** Open [http://localhost:8000/health](http://localhost:8000/health) — you should see `{"status": "healthy", "version": "..."}`.
 
-## Step 2: Install the SDK
+#### Install the SDK
 
 In your agent application project:
 
@@ -88,7 +88,7 @@ In your agent application project:
 uv pip install agent-control-sdk
 ```
 
-## Step 3: Register Your Agent
+## Register Your Agent
 
 Agent must be registered with the server. You should also add `@control` decorator around tools and LLM call functions.
 
@@ -128,7 +128,7 @@ async def main():
 asyncio.run(main())
 ```
 
-## Step 4: Add Controls
+## Add Controls
 
 The easiest way to add controls is through the UI — see the [UI Quickstart](/core/ui-quickstart) for a step-by-step guide. Alternatively, use the SDK as shown below or call the API directly.
 
diff --git a/core/ui-quickstart.mdx b/core/ui-quickstart.mdx
index 85896e3..0e84b29 100644
--- a/core/ui-quickstart.mdx
+++ b/core/ui-quickstart.mdx
@@ -8,14 +8,14 @@ The Agent Control dashboard lets you manage [controls](/concepts/controls) and m
 
 ## Prerequisites
 
-Before starting the UI, make sure the **Agent Control server** is already running. If you haven't set it up yet, follow the [Quickstart](/core/quickstart) first.
+Before starting the UI, make sure the **Agent Control server** is already running. If you haven't set it up yet, follow the [Quickstart](/core/quickstart) first. This tutorial was tested on macOS.
 
 You also need:
 
 - **Node.js 20+** (CI uses 20; 18+ may work)
 - **pnpm 9+** — install from [pnpm.io](https://pnpm.io/) or run `corepack enable && corepack prepare pnpm@latest --activate`
 
-> **Note:** If you started the server using **One-line setup** from the [Quickstart](/core/quickstart), the UI is already running at [http://localhost:4000](http://localhost:4000). You can skip the setup steps below and jump directly to [viewing the dashboard](#create-controls-from-the-ui).
+> **Note:** If you started the server using **One-line setup** from the [Quickstart](/core/quickstart), the UI is already running at [http://localhost:4000](http://localhost:4000). You can skip the setup steps below and jump directly to [Create Controls from the UI](#create-controls-from-the-ui) to add a control.
 
 ## Start the UI Server