Phases 2-6: detection, visual timeline, backend hand-off, voiceprints

Phase 2 (call detection): CallDetector using CoreAudio per-process mic
attribution (anarlog technique) — robust start+stop for Zoom/Teams/Signal/Meet,
ignoring our own recording; auto-record toggle. Built; pending live multi-app
confirmation by the user.

Phase 3 (visual timeline foundation): AppAdapter protocol + SpeakerObservation,
TimelineBuilder (hysteresis/overlap/self-merge/aliases), VisualTimeline (schema
1.1), TextRecognizer (Vision OCR), FrameSampler + GridCallAnalyzer (name OCR +
saturated-highlight active-speaker attribution), SignalAdapter, VisualObserver
(window capture; frames released, never saved; minimized->visual_gap, idle != gap).
Synthetic-frame tested; adapter geometry pending real Signal fixtures + live
VisualObserver validation.

Phase 5 (backend hand-off): SparkControlClient (multipart label-merge, sequential,
TLS-skip, 503 Retry-After/413), SessionPackager (chunk plan + WAV slice + timeline
slice/rebase), TranscriptAssembler + SpeakersFile, TranscriptPipeline. Validated
END-TO-END against the live backend (chunk -> label-merge -> speakers.json).

Phase 6 (voiceprints): VoiceprintStore (known_voiceprints, persist named
fingerprints, skip Unknown). Wired: 'Send to backend' button + transcript status,
auto-send toggle (default off) + self-name setting.

All adversarial-review findings fixed. App + XCTest suite build; tests pass.

Ten31Transcripts/UI/MenuBarView.swift

@@ -46,6 +46,9 @@ struct MenuBarView: View {
                         .foregroundStyle(.secondary)
                 }
             }
+            Text(detectionText)
+                .font(.caption)
+                .foregroundStyle(.secondary)
 
             Button {
                 session.toggle()
@@ -84,6 +87,15 @@ struct MenuBarView: View {
                         .font(.caption)
                 }
                 .buttonStyle(.link)
+
+                HStack {
+                    Button("Send to backend") { session.processLastSession() }
+                        .disabled(transcriptProcessing)
+                    Spacer()
+                }
+                if !transcriptText.isEmpty {
+                    Text(transcriptText).font(.caption).foregroundStyle(transcriptColor)
+                }
             }
         }
     }
@@ -114,6 +126,36 @@ struct MenuBarView: View {
         return String(format: "%02d:%02d", total / 60, total % 60)
     }
 
+    private var detectionText: String {
+        switch session.detectionStatus {
+        case .disabled:        return "Auto-detect off"
+        case .listening:       return "Listening for calls…"
+        case .inCall(let app): return "In call: \(app.display)"
+        }
+    }
+
+    private var transcriptProcessing: Bool {
+        if case .processing = session.transcriptStatus { return true }
+        return false
+    }
+
+    private var transcriptText: String {
+        switch session.transcriptStatus {
+        case .idle:                       return ""
+        case .processing(let d, let t):   return "Transcribing… chunk \(d)/\(t)"
+        case .done(let s, let seg):       return "Transcript ready · \(s) speakers · \(seg) segments"
+        case .failed(let m):              return "Transcript failed: \(m)"
+        }
+    }
+
+    private var transcriptColor: Color {
+        switch session.transcriptStatus {
+        case .failed: return .red
+        case .done:   return .green
+        default:      return .secondary
+        }
+    }
+
     private var header: some View {
         VStack(alignment: .leading, spacing: 2) {
             Text("Ten31 Transcripts").font(.headline)

Ten31Transcripts/UI/SettingsView.swift

@@ -14,6 +14,22 @@ struct SettingsView: View {
                        isOn: $settings.skipTLSVerification)
             }
 
+            Section("Call detection") {
+                Toggle("Auto-record when a call is detected", isOn: $settings.autoRecordOnDetection)
+                Text("Detects Zoom, Teams, Signal, and Google Meet (any browser).")
+                    .font(.caption)
+                    .foregroundStyle(.secondary)
+            }
+
+            Section("Transcription") {
+                TextField("Your name", text: $settings.selfName)
+                    .textFieldStyle(.roundedBorder)
+                Toggle("Auto-send recordings to backend", isOn: $settings.autoSendOnStop)
+                Text("Your name labels the mic-VAD \"self\" spans. Auto-send transcribes each recording on stop.")
+                    .font(.caption)
+                    .foregroundStyle(.secondary)
+            }
+
             Section("Output") {
                 HStack {
                     Text(settings.outputFolderPath)