diff --git a/ai-conversation/README.md b/ai-conversation/README.md
index a3d484a..d3cf286 100644
--- a/ai-conversation/README.md
+++ b/ai-conversation/README.md
@@ -1,26 +1,5 @@
 # Conversation
-This proof of concept is for implementing conversational loop with AI at a low level.
-
-- [x] Capture audio
-- [ ] Use deepgram for live transcription
-- [ ] Detect final speech/turn detection
-- [ ] AI answer -> text
-- [ ] Text -> generated voice with deepgram
-- [ ] Playback on client side
+This proof of concept is for implementing conversational loop with AI at a low level with raw C.
 
 ## Requirements
 Platform: the project is meant for Linux, specifically Ubuntu desktop.
-
-## Implementation
-
-The loop should be as follows:
-- create the thread that manages the deepgram websocket client
-- grab audio and send over to other thread to process & send
-- stream pcm packets over the websocket connection
-- print inbound messages from websocket connection to stdout
-- signal in stdout when there is a "final message", which signifies "turn detection"
-
-## Open questions
-1. Can deepgram websocket stream take any format? raw pcm? 
-[Answer here](https://developers.deepgram.com/docs/encoding)
-2. Consider using Golang to interop with c, whereby the golang uses deepgram sdk, and the c library for alsa.