diff --git a/README.md b/README.md
index da97e44..5c82ec5 100644
--- a/README.md
+++ b/README.md
@@ -15,6 +15,7 @@ The starter project includes:
   - Supports more than 50 models from OpenAI, Cartesia, Deepgram, and other providers
   - Access to a wide range of other models, including [Realtime models](https://docs.livekit.io/agents/models/realtime), through extensive plugin ecosystem
 - Expressive mode, enabled by default: the framework injects the TTS provider's markup guide into the LLM prompt, so the model emits inline delivery tags (emotion, pacing, non-verbal sounds) that the TTS renders and the transcript never shows
+- [Keyterms](https://docs.livekit.io/agents/models/stt/keyterms/), enabled by default: static terms bias the STT toward your own names, brands, and jargon, and automatic detection picks up distinctive spellings from the live conversation
 - Eval suite based on the LiveKit Agents [testing & evaluation framework](https://docs.livekit.io/agents/start/testing)
 - [LiveKit Turn Detector](https://docs.livekit.io/agents/logic/turns/turn-detector/), an end-of-turn model that listens to the user's audio directly, combining semantic understanding with acoustic cues for state-of-the-art accuracy across 14 languages
 - [Background voice cancellation](https://docs.livekit.io/transport/media/noise-cancellation/)
diff --git a/src/main.ts b/src/main.ts
index 81e6d4c..363b807 100644
--- a/src/main.ts
+++ b/src/main.ts
@@ -20,6 +20,16 @@ export default defineAgent({
         language: 'en',
       }),
 
+      // Keyterms bias the STT toward distinctive words it would otherwise misspell.
+      // List your own names, brands, and jargon in `keyterms`. Detection additionally
+      // extracts terms from the live conversation, such as a caller's name, and applies
+      // them once the transcript corroborates the spelling.
+      // See more at https://docs.livekit.io/agents/models/stt/keyterms/
+      keytermsOptions: {
+        keyterms: ['LiveKit'],
+        keytermDetection: { enabled: true },
+      },
+
       // Text-to-speech (TTS) is your agent's voice, turning the LLM's text into speech that the user can hear
       // See all available models as well as voice selections at https://docs.livekit.io/agents/models/tts/
       tts: new inference.TTS({