docs: make remote host examples generic

docs/cli/gateway.md

@@ -92,7 +92,7 @@ The macOS app “Remote over SSH” mode uses a local port-forward so the remote
 CLI equivalent:
 
 ```bash
-clawdbot gateway status --ssh steipete@peters-mac-studio-1
+clawdbot gateway status --ssh user@gateway-host
 ```
 
 Options:

docs/experiments/research/memory.md

@@ -192,7 +192,7 @@ Offline-friendly alternatives (in increasing complexity):
 - SuCo (research-grade; attractive if there’s a solid implementation you can embed)
 
 Open question:
-- what’s the **best** offline embedding model for “personal assistant memory” on your machines (MacBook + Castle)?
+- what’s the **best** offline embedding model for “personal assistant memory” on your machines (laptop + desktop)?
   - if you already have Ollama: embed with a local model; otherwise ship a small embedding model in the toolchain.
 
 ## Smallest useful pilot

docs/gateway/configuration.md

@@ -1726,7 +1726,7 @@ Notes:
 
 ### Local models (LM Studio) — recommended setup
 
-Best current local setup (what we’re running): **MiniMax M2.1** on a beefy Mac Studio
+Best current local setup (what we’re running): **MiniMax M2.1** on a powerful local machine
 via **LM Studio** using the **Responses API**.
 
 ```json5

docs/gateway/remote-gateway-readme.md

@@ -11,7 +11,7 @@ Clawdbot.app uses SSH tunneling to connect to a remote gateway. This guide shows
 
 ```
 ┌─────────────────────────────────────────────────────────────┐
-│                          MacBook                              │
+│                        Client Machine                          │
 │                                                              │
 │  Clawdbot.app ──► ws://127.0.0.1:18789 (local port)           │
 │                     │                                        │
@@ -150,4 +150,4 @@ launchctl bootout gui/$UID/com.clawdbot.ssh-tunnel
 | `KeepAlive` | Automatically restarts tunnel if it crashes |
 | `RunAtLoad` | Starts tunnel when the agent loads |
 
-Clawdbot.app connects to `ws://127.0.0.1:18789` on your MacBook. The SSH tunnel forwards that connection to port 18789 on the remote machine where the Gateway is running.
+Clawdbot.app connects to `ws://127.0.0.1:18789` on your client machine. The SSH tunnel forwards that connection to port 18789 on the remote machine where the Gateway is running.

docs/gateway/remote.md

@@ -5,7 +5,7 @@ read_when:
 ---
 # Remote access (SSH, tunnels, and tailnets)
 
-This repo supports “remote over SSH” by keeping a single Gateway (the master) running on a host (e.g., your Mac Studio) and connecting clients to it.
+This repo supports “remote over SSH” by keeping a single Gateway (the master) running on a dedicated host (desktop/server) and connecting clients to it.
 
 - For **operators (you / the macOS app)**: SSH tunneling is the universal fallback.
 - For **nodes (iOS/Android and future devices)**: prefer the Gateway **Bridge** when on the same LAN/tailnet (see [Discovery](/gateway/discovery)).

docs/platforms/mac/remote.md

@@ -6,7 +6,7 @@ read_when:
 # Remote Clawdbot (macOS ⇄ remote host)
 
 
-This flow lets the macOS app act as a full remote control for a Clawdbot gateway running on another host (e.g. a Mac Studio). All features—health checks, Voice Wake forwarding, and Web Chat—reuse the same remote SSH configuration from *Settings → General*.
+This flow lets the macOS app act as a full remote control for a Clawdbot gateway running on another host (desktop/server). All features—health checks, Voice Wake forwarding, and Web Chat—reuse the same remote SSH configuration from *Settings → General*.
 
 ## Modes
 - **Local (this Mac)**: Everything runs on the laptop. No SSH involved.

docs/plugins/voice-call.md

@@ -22,6 +22,12 @@ Quick mental model:
 - Configure under `plugins.entries.voice-call.config`
 - Use `clawdbot voicecall …` or the `voice_call` tool
 
+## Where it runs (local vs remote)
+
+The Voice Call plugin runs **inside the Gateway process**.
+
+If you use a remote Gateway, install/configure the plugin on the **machine running the Gateway**, then restart the Gateway to load it.
+
 ## Install
 
 ### Option A: install from npm (recommended)

docs/providers/minimax.md

@@ -123,7 +123,7 @@ Configure via CLI:
 
 **Best for:** local inference with LM Studio.
 We have seen strong results with MiniMax M2.1 on powerful hardware (e.g. a
-beefy Mac Studio) using LM Studio's local server.
+desktop/server) using LM Studio's local server.
 
 Configure via CLI:
 - Run `clawdbot configure`