diff --git a/src/content/docs/getting-started/quickstart.mdx b/src/content/docs/getting-started/quickstart.mdx
index 3fd3320..2ac21db 100644
--- a/src/content/docs/getting-started/quickstart.mdx
+++ b/src/content/docs/getting-started/quickstart.mdx
@@ -78,7 +78,35 @@ Run your first evaluation with EvalHub.
    </TabItem>
    </Tabs>
 
-3. **Submit an Evaluation**
+3. **Connect to EvalHub**
+
+   <Tabs>
+   <TabItem label="Cluster">
+
+   Point the CLI at your EvalHub route or service URL:
+
+   ```bash
+   evalhub config set base_url https://evalhub.apps.my-cluster.example.com
+   ```
+
+   </TabItem>
+   <TabItem label="Local">
+
+   Start the server with a config file, then point the CLI at it:
+
+   ```bash
+   evalhub config set server_config_file server-config.yaml
+   evalhub server start
+   evalhub config set base_url http://localhost:8080
+   ```
+
+   See [Local Mode](/guides/local-mode/) for full local setup including
+   configuration, MLflow, and provider registration.
+
+   </TabItem>
+   </Tabs>
+
+4. **Submit an Evaluation**
 
    <Tabs syncKey="interface">
    <TabItem label="CLI">
@@ -156,7 +184,7 @@ Run your first evaluation with EvalHub.
    </TabItem>
    </Tabs>
 
-4. **Wait for Results**
+5. **Wait for Results**
 
    <Tabs syncKey="interface">
    <TabItem label="CLI">
diff --git a/src/content/docs/home.mdx b/src/content/docs/home.mdx
index 2045b5e..13c0911 100644
--- a/src/content/docs/home.mdx
+++ b/src/content/docs/home.mdx
@@ -2,7 +2,7 @@
 title: "EvalHub"
 ---
 
-import { Card, CardGrid, LinkCard } from '@astrojs/starlight/components';
+import { Card, CardGrid, LinkCard, Steps } from '@astrojs/starlight/components';
 
 Open source evaluation orchestration platform for Large Language Models.
 
@@ -62,17 +62,54 @@ Community providers with a `provider.yaml` are listed in the [Provider Catalog](
 
 ## Quick Taste
 
-```bash
-pip install "eval-hub-sdk[cli]"
-
-evalhub eval run \
-  --name my-first-eval \
-  --model-url http://localhost:11434/v1 \
-  --model-name qwen2.5:1.5b \
-  --provider lm_evaluation_harness \
-  --benchmark mmlu \
-  --wait
-```
+<Steps>
+
+1. **Install the SDK** (includes the server and CLI):
+
+   ```bash
+   pip install "eval-hub-sdk[server,cli]"
+   ```
+
+2. **Start a model server** (e.g. [Ollama](https://ollama.com)):
+
+   ```bash
+   ollama run qwen2.5:1.5b
+   ```
+
+   Keep Ollama running in this terminal and execute Steps 3–4 in a separate terminal.
+
+3. **Start EvalHub locally**:
+
+   ```bash
+   evalhub server start
+   ```
+
+   Point the CLI at the local server:
+
+   ```bash
+   evalhub config set base_url http://localhost:8080
+   ```
+
+   For provider registration and other advanced options (e.g. `server_config_file`),
+   see [Local Mode](/guides/local-mode/).
+
+4. **Run an evaluation**:
+
+   ```bash
+   evalhub eval run \
+     --name my-first-eval \
+     --model-url http://localhost:11434/v1 \
+     --model-name qwen2.5:1.5b \
+     --provider lm_evaluation_harness \
+     --benchmark mmlu \
+     --wait
+   ```
+
+</Steps>
+
+See the [Quick Start](/getting-started/quickstart/) for a full walkthrough or
+[Local Mode](/guides/local-mode/) for advanced local configuration (MLflow,
+custom server config, provider registration).
 
 ## Get Started