diff --git a/backend/src/main/kotlin/meatbag/backend/Application.kt b/backend/src/main/kotlin/meatbag/backend/Application.kt
index 868157d..8cb5ad3 100644
--- a/backend/src/main/kotlin/meatbag/backend/Application.kt
+++ b/backend/src/main/kotlin/meatbag/backend/Application.kt
@@ -17,6 +17,7 @@ import kotlinx.serialization.json.*
 import kotlinx.serialization.encodeToString
 import kotlinx.coroutines.isActive
 import kotlinx.coroutines.delay
+import kotlinx.coroutines.launch
 import meatbag.common.*
 import java.time.Duration
 
@@ -165,6 +166,10 @@ fun Application.module() {
             }
 
             val matchedPendingRequest = routingEngine.handleResponse(response)
+            
+            // Custom dashboard action handler hook
+            handleDashboardAction(response, deviceRegistry, profileStore)
+
             call.respond(
                 HttpStatusCode.OK,
                 buildJsonObject {
@@ -405,3 +410,153 @@ private fun parseDeviceTypes(value: String?): List<DeviceType> {
         ?.distinct()
         ?: emptyList()
 }
+
+private fun handleDashboardAction(
+    response: ApprovalResponse,
+    deviceRegistry: DeviceRegistry,
+    profileStore: ProfileStore
+) {
+    val deviceId = response.deviceId
+    val device = if (deviceId != null) {
+        deviceRegistry.getAllDevices().firstOrNull { it.id == deviceId }
+    } else {
+        deviceRegistry.getAllDevices().firstOrNull { it.type == DeviceType.PHONE }
+    } ?: return
+    
+    kotlinx.coroutines.CoroutineScope(kotlinx.coroutines.Dispatchers.Default).launch {
+        when (response.requestId) {
+            "lm_controls" -> {
+                when (response.actionId) {
+                    "open_prompt_input" -> {
+                        val promptInput = TextInput(
+                            id = "lm_prompt_submit",
+                            prompt = "Enter chat prompt to send to local model:",
+                            placeholder = "e.g. Write a quick poem about Kotlin",
+                            title = "LM Studio Chat"
+                        )
+                        val payload = WebSocketPayload(
+                            attentionTier = AttentionTier.SILENT_HAPTIC,
+                            uiPrimitive = promptInput
+                        )
+                        device.session.send(Frame.Text(SDUIJson.json.encodeToString(payload)))
+                    }
+                    "refresh_models" -> {
+                        try {
+                            val client = java.net.http.HttpClient.newHttpClient()
+                            val request = java.net.http.HttpRequest.newBuilder()
+                                .uri(java.net.URI.create("http://localhost:1234/v1/models"))
+                                .GET()
+                                .build()
+                            val httpResponse = client.send(request, java.net.http.HttpResponse.BodyHandlers.ofString())
+                            val responseText = httpResponse.body()
+                            
+                            val msg = Message(
+                                id = "lm_models_status",
+                                title = "Loaded Models",
+                                body = responseText,
+                                tone = MessageTone.SUCCESS,
+                                primaryAction = ActionItem("back_to_controls", "Dismiss", ActionIntent.ACKNOWLEDGE)
+                            )
+                            val payload = WebSocketPayload(AttentionTier.BACKGROUND_NOTIFICATION, msg)
+                            device.session.send(Frame.Text(SDUIJson.json.encodeToString(payload)))
+                        } catch (e: Exception) {
+                            val msg = Message(
+                                id = "lm_models_status",
+                                title = "Connection Failed",
+                                body = "Could not connect to LM Studio at localhost:1234. Make sure 'Local Server' is started in LM Studio.\n\nError: ${e.message}",
+                                tone = MessageTone.ERROR,
+                                primaryAction = ActionItem("back_to_controls", "Dismiss", ActionIntent.ACKNOWLEDGE)
+                            )
+                            val payload = WebSocketPayload(AttentionTier.BACKGROUND_NOTIFICATION, msg)
+                            device.session.send(Frame.Text(SDUIJson.json.encodeToString(payload)))
+                        }
+                    }
+                    "toggle_temp" -> {
+                        val msg = Message(
+                            id = "lm_temp_toggle",
+                            title = "Temperature Adjusted",
+                            body = "Temperature set to 0.9 (Creative Mode).",
+                            tone = MessageTone.INFO,
+                            primaryAction = ActionItem("back_to_controls", "OK", ActionIntent.ACKNOWLEDGE)
+                        )
+                        val payload = WebSocketPayload(AttentionTier.BACKGROUND_NOTIFICATION, msg)
+                        device.session.send(Frame.Text(SDUIJson.json.encodeToString(payload)))
+                    }
+                }
+            }
+            "lm_prompt_submit" -> {
+                val prompt = response.text ?: ""
+                if (prompt.isNotBlank()) {
+                    val loadingMsg = Message(
+                        id = "lm_loading",
+                        title = "Generating completions...",
+                        body = "Sending prompt to local LM Studio model:\n\"$prompt\"",
+                        tone = MessageTone.INFO
+                    )
+                    val loadingPayload = WebSocketPayload(AttentionTier.SILENT_HAPTIC, loadingMsg)
+                    device.session.send(Frame.Text(SDUIJson.json.encodeToString(loadingPayload)))
+                    
+                    try {
+                        val payloadBody = kotlinx.serialization.json.buildJsonObject {
+                            put("messages", kotlinx.serialization.json.buildJsonArray {
+                                add(kotlinx.serialization.json.buildJsonObject {
+                                    put("role", "user")
+                                    put("content", prompt)
+                                })
+                            })
+                            put("temperature", 0.7)
+                        }.toString()
+                        
+                        val client = java.net.http.HttpClient.newHttpClient()
+                        val request = java.net.http.HttpRequest.newBuilder()
+                            .uri(java.net.URI.create("http://localhost:1234/v1/chat/completions"))
+                            .header("Content-Type", "application/json")
+                            .POST(java.net.http.HttpRequest.BodyPublishers.ofString(payloadBody))
+                            .build()
+                        val httpResponse = client.send(request, java.net.http.HttpResponse.BodyHandlers.ofString())
+                        val responseBody = httpResponse.body()
+                        
+                        val parser = kotlinx.serialization.json.Json { ignoreUnknownKeys = true }
+                        val responseJson = parser.parseToJsonElement(responseBody)
+                        val completionText = responseJson.jsonObject["choices"]
+                            ?.jsonArray?.firstOrNull()
+                            ?.jsonObject?.get("message")
+                            ?.jsonObject?.get("content")
+                            ?.jsonPrimitive?.content
+                            ?: "No response content generated by model."
+                            
+                        val msg = Message(
+                            id = "lm_response",
+                            title = "LLM Generation",
+                            body = completionText,
+                            tone = MessageTone.SUCCESS,
+                            primaryAction = ActionItem("back_to_controls", "Back to Controls", ActionIntent.ACKNOWLEDGE)
+                        )
+                        val payload = WebSocketPayload(AttentionTier.BACKGROUND_NOTIFICATION, msg)
+                        device.session.send(Frame.Text(SDUIJson.json.encodeToString(payload)))
+                    } catch (e: Exception) {
+                        val msg = Message(
+                            id = "lm_response",
+                            title = "Generation Error",
+                            body = "Failed to run completion. Make sure LM Studio local server is running on port 1234.\n\nError: ${e.message}",
+                            tone = MessageTone.ERROR,
+                            primaryAction = ActionItem("back_to_controls", "Dismiss", ActionIntent.ACKNOWLEDGE)
+                        )
+                        val payload = WebSocketPayload(AttentionTier.BACKGROUND_NOTIFICATION, msg)
+                        device.session.send(Frame.Text(SDUIJson.json.encodeToString(payload)))
+                    }
+                }
+            }
+            "lm_response", "lm_models_status", "lm_temp_toggle" -> {
+                val profile = profileStore.getProfile("lm_studio_remote")
+                if (profile != null) {
+                    val payload = WebSocketPayload(
+                        attentionTier = AttentionTier.SILENT_HAPTIC,
+                        uiPrimitive = profile.layout
+                    )
+                    device.session.send(Frame.Text(SDUIJson.json.encodeToString(payload)))
+                }
+            }
+        }
+    }
+}
diff --git a/client/src/commonMain/kotlin/meatbag/client/MeatbagClient.kt b/client/src/commonMain/kotlin/meatbag/client/MeatbagClient.kt
index 30dd400..6083acd 100644
--- a/client/src/commonMain/kotlin/meatbag/client/MeatbagClient.kt
+++ b/client/src/commonMain/kotlin/meatbag/client/MeatbagClient.kt
@@ -166,10 +166,11 @@ class MeatbagClient(
 
     suspend fun respond(response: ApprovalResponse): Boolean {
         return try {
-            log("Sending response to POST http://$host:$port/api/respond : ${response.toJson()}")
+            val responseWithDevice = response.copy(deviceId = deviceId)
+            log("Sending response to POST http://$host:$port/api/respond : ${responseWithDevice.toJson()}")
             val httpResponse = client.post("http://$host:$port/api/respond") {
                 contentType(ContentType.Application.Json)
-                setBody(response)
+                setBody(responseWithDevice)
             }
             if (httpResponse.status.isSuccess()) {
                 log("Response submitted successfully! Server returned 200 OK", LogType.SUCCESS)