diff --git a/.agents/tools/voice/voice-ai-models.md b/.agents/tools/voice/voice-ai-models.md
index 52977b33ab..3646834349 100644
--- a/.agents/tools/voice/voice-ai-models.md
+++ b/.agents/tools/voice/voice-ai-models.md
@@ -21,6 +21,27 @@ tools:
 
 <!-- AI-CONTEXT-END -->
 
+## Decision Flow
+
+```text
+Need voice AI?
+├── Generate speech (TTS)
+│   ├── Voice cloning? → Qwen3-TTS (local) or ElevenLabs (cloud)
+│   ├── Lowest latency? → Cartesia Sonic 3 (cloud) or EdgeTTS (free)
+│   ├── Offline? → Piper (CPU) or Qwen3-TTS (GPU)
+│   └── Default → EdgeTTS (free, good quality)
+├── Transcribe speech (STT)
+│   ├── Real-time? → Deepgram Nova (cloud) or faster-whisper (local)
+│   ├── Best accuracy? → ElevenLabs Scribe (cloud) or Large v3 (local)
+│   ├── Free? → Groq free tier (cloud) or any local model
+│   └── Default → Whisper Large v3 Turbo (local)
+└── Conversational (S2S)
+    ├── Cloud OK? → GPT-4o Realtime (see cloud-voice-agents.md)
+    ├── Enterprise/on-prem? → NVIDIA Riva (Parakeet + LLM + Magpie)
+    ├── Local/private? → MiniCPM-o 2.6 or cascaded pipeline
+    └── Default → speech-to-speech.md cascaded pipeline
+```
+
 ## TTS (Text-to-Speech)
 
 ### Cloud
@@ -33,20 +54,16 @@ tools:
 | NVIDIA Magpie TTS | ~200ms | Great | Yes (zero-shot) | 17+ | NIM API (free tier) |
 | Google Cloud TTS | ~200ms | Good | No (custom) | 50+ | $4-16/1M chars |
 
-Pick: ElevenLabs → quality/cloning. Cartesia → lowest latency. NVIDIA Magpie → enterprise/self-hosted. Google → language breadth.
-
 ### Local
 
 | Model | Params | License | Languages | Voice Clone | VRAM |
 |-------|--------|---------|-----------|-------------|------|
 | Qwen3-TTS 0.6B | 0.6B | Apache-2.0 | 10 | Yes (5s ref) | 2GB |
 | Qwen3-TTS 1.7B | 1.7B | Apache-2.0 | 10 | Yes (5s ref) | 4GB |
-| Bark (Suno) | 1.0B | MIT | 13+ | Yes (prompt) | 6GB (stale) |
+| Bark (Suno) | 1.0B | MIT | 13+ | Yes (prompt) | 6GB (stale, expressive: laughter/music) |
 | Coqui TTS | varies | MPL-2.0 | 20+ | Yes | 2-6GB |
 | Piper | <100M | MIT | 30+ | No | CPU only |
 
-Pick: Qwen3-TTS → quality + cloning. Piper → CPU-only/embedded. Bark → expressiveness (laughter, music).
-
 Also available: EdgeTTS (free, 300+ voices), macOS Say (zero deps), FacebookMMS (1100+ languages). See `voice-models.md`.
 
 ## STT (Speech-to-Text)
@@ -61,8 +78,6 @@ Also available: EdgeTTS (free, 300+ voices), macOS Say (zero deps), FacebookMMS
 | Deepgram | Nova-2 / Nova-3 | 9.5-9.6 | Yes | Per minute |
 | Soniox | stt-async-v3 | 9.6 | Yes | Per minute |
 
-Pick: Groq → free/fast batch. ElevenLabs Scribe → accuracy. NVIDIA Parakeet → enterprise/self-hosted. Deepgram → real-time streaming.
-
 ### Local
 
 | Model | Size | Accuracy | Speed | VRAM |
@@ -72,11 +87,9 @@ Pick: Groq → free/fast batch. ElevenLabs Scribe → accuracy. NVIDIA Parakeet
 | Whisper Small | 461MB | 8.5 | Medium | 2GB |
 | Whisper Large v3 | 2.9GB | 9.8 | Slow | 10GB |
 | Whisper Large v3 Turbo | 1.5GB | 9.7 | Fast | 5GB |
-| NVIDIA Parakeet V2 | 0.6B | 9.4 | Fastest | 2GB |
-| NVIDIA Parakeet V3 | 0.6B | 9.6 | Fastest | 2GB |
-| Apple Speech | Built-in | 9.0 | Fast | On-device |
-
-Pick: Large v3 Turbo → best balance. Parakeet V3 → multilingual speed (25 langs). Parakeet V2 → English-only. Apple Speech → zero-setup macOS 26+.
+| NVIDIA Parakeet V2 | 0.6B | 9.4 | Fastest | 2GB (English-only) |
+| NVIDIA Parakeet V3 | 0.6B | 9.6 | Fastest | 2GB (25 langs) |
+| Apple Speech | Built-in | 9.0 | Fast | On-device (macOS 26+) |
 
 Backends: `faster-whisper` (4x speed, recommended), `whisper.cpp` (C++ native, Apple Silicon optimized). See `transcription.md`.
 
@@ -94,51 +107,17 @@ Backends: `faster-whisper` (4x speed, recommended), `whisper.cpp` (C++ native, A
 
 ### NVIDIA Riva Composable Pipelines
 
-| Component | Model | Role | Languages | NIM Available |
-|-----------|-------|------|-----------|---------------|
-| ASR | Parakeet TDT 0.6B v2 | Speech-to-text | English | HF (research) |
-| ASR | Parakeet CTC 1.1B | Speech-to-text | English | Yes |
-| ASR | Parakeet RNNT 1.1B | Speech-to-text | 25 languages | Yes |
-| TTS | Magpie TTS Multilingual | Text-to-speech | 17+ languages | Yes |
-| TTS | Magpie TTS Zero-Shot | Voice cloning TTS | English+ | API |
-| Enhancement | StudioVoice | Noise removal | Any | Yes |
-| Translation | Riva Translate | NMT | 36 languages | Yes |
-
-Compose as: `Audio -> [Parakeet ASR] -> [Any LLM] -> [Magpie TTS] -> Audio`. See `cloud-voice-agents.md`.
-
-Pick: GPT-4o Realtime → production cloud (lowest latency, GA). MiniCPM-o 2.6 → self-hosted/private (Apache-2.0, multimodal). NVIDIA Riva → enterprise on-prem (composable, 25+ languages). Cascaded S2S (VAD+STT+LLM+TTS): see `speech-to-speech.md`.
-
-## Selection by Priority
-
-| Priority | TTS | STT | S2S |
-|----------|-----|-----|-----|
-| Quality | ElevenLabs / Qwen3-TTS 1.7B | ElevenLabs Scribe / Large v3 | GPT-4o Realtime |
-| Speed | Cartesia Sonic 3 / EdgeTTS | Groq / Parakeet V3 | GPT-4o Realtime / Cascaded |
-| Cost | EdgeTTS (free) / Piper | Local Whisper ($0) / Groq free | MiniCPM-o 2.6 (local) |
-| Privacy | Piper / Qwen3-TTS | faster-whisper / whisper.cpp | MiniCPM-o 2.6 |
-| Enterprise | NVIDIA Magpie / ElevenLabs | NVIDIA Parakeet / Scribe | NVIDIA Riva pipeline |
-| Voice clone | ElevenLabs / Qwen3-TTS | N/A | MiniCPM-o 2.6 |
-
-### Decision Flow
-
-```text
-Need voice AI?
-├── Generate speech (TTS)
-│   ├── Voice cloning? → Qwen3-TTS (local) or ElevenLabs (cloud)
-│   ├── Lowest latency? → Cartesia Sonic 3 (cloud) or EdgeTTS (free)
-│   ├── Offline? → Piper (CPU) or Qwen3-TTS (GPU)
-│   └── Default → EdgeTTS (free, good quality)
-├── Transcribe speech (STT)
-│   ├── Real-time? → Deepgram Nova (cloud) or faster-whisper (local)
-│   ├── Best accuracy? → ElevenLabs Scribe (cloud) or Large v3 (local)
-│   ├── Free? → Groq free tier (cloud) or any local model
-│   └── Default → Whisper Large v3 Turbo (local)
-└── Conversational (S2S)
-    ├── Cloud OK? → GPT-4o Realtime (see cloud-voice-agents.md)
-    ├── Enterprise/on-prem? → NVIDIA Riva (Parakeet + LLM + Magpie)
-    ├── Local/private? → MiniCPM-o 2.6 or cascaded pipeline
-    └── Default → speech-to-speech.md cascaded pipeline
-```
+| Component | Model | Languages | NIM |
+|-----------|-------|-----------|-----|
+| ASR | Parakeet TDT 0.6B v2 | English | HF (research) |
+| ASR | Parakeet CTC 1.1B | English | Yes |
+| ASR | Parakeet RNNT 1.1B | 25 | Yes |
+| TTS | Magpie Multilingual | 17+ | Yes |
+| TTS | Magpie Zero-Shot | English+ | API |
+| Enhancement | StudioVoice | Any | Yes |
+| Translation | Riva Translate | 36 | Yes |
+
+Pipeline: `Audio -> [Parakeet ASR] -> [Any LLM] -> [Magpie TTS] -> Audio`. See `cloud-voice-agents.md`. Cascaded S2S (VAD+STT+LLM+TTS): see `speech-to-speech.md`.
 
 ## GPU Planning