diff --git a/src/interface.jl b/src/interface.jl
index 926d726..c35b04b 100644
--- a/src/interface.jl
+++ b/src/interface.jl
@@ -874,7 +874,7 @@ julia> response = ChatAgent.conversation(newAgent, "Hi! how are you?")
 # Signature
 """
 function conversation(a::sommelier, userinput::Dict)
-  println("--> conver 1 ", @__FILE__, " ", @__LINE__)
+
   # place holder
   actionname = nothing
   result = nothing
@@ -886,7 +886,7 @@ function conversation(a::sommelier, userinput::Dict)
   else
     # add usermsg to a.chathistory
     addNewMessage(a, "user", userinput[:text])
-    println("--> conver 2 ", @__FILE__, " ", @__LINE__)
+
     # add user activity to events memory
     push!(a.memory[:events], 
       eventdict(;
@@ -896,7 +896,7 @@ function conversation(a::sommelier, userinput::Dict)
         action_or_dialogue= userinput[:text],
       )
     )
-    println("--> conver 3 ", @__FILE__, " ", @__LINE__)
+
     # use dummy memory to check generatechat() for halucination (checking inventory)
     for i in 1:3
       actionname, result = think(a)
@@ -904,7 +904,7 @@ function conversation(a::sommelier, userinput::Dict)
         break
       end
     end
-    println("--> conver 4 ", @__FILE__, " ", @__LINE__)
+
     # thought will be added to chat model via context
     chatresponse = generatechat(a)
 
@@ -931,7 +931,7 @@ function conversation(a::companion, userinput::Dict)
   else
     # add usermsg to a.chathistory
     addNewMessage(a, "user", userinput[:text])
-    println("--> conver 2 ", @__FILE__, " ", @__LINE__)
+
     # add user activity to events memory
     push!(a.memory[:events], 
       eventdict(;
@@ -1200,16 +1200,24 @@ function generatechat(a::companion)
   Your ongoing conversation with the user: ...
   Context: ...
 
+  You should then respond to the user with:
+  1) Chat: Given the situation, what would you say to the user?
+
+  You should only respond in format as described below:
+  Chat: ...
+
   Let's begin!
   """
 
   chathistory = vectorOfDictToText(a.chathistory)
   response = nothing # placeholder for show when error msg show up
+  noise = ""
 
   for attempt in 1:10
     usermsg =
     """
     Your ongoing conversation with the user: $chathistory
+    $noise
     """
 
     _prompt = 
@@ -1227,19 +1235,22 @@ function generatechat(a::companion)
 
     try
       response = a.text2textInstructLLM(prompt)
-
       println("")
       println("--> generatechat() ", @__FILE__, " ", @__LINE__)
       pprintln(response)
 
-      result = response
+      responsedict = GeneralUtils.textToDict(response,["Chat"], 
+                      rightmarker=":", symbolkey=true, lowercasekey=true)
 
-       return result
+      result = responsedict[:chat]
+
+      return result
     catch e
       io = IOBuffer()
       showerror(io, e)
       errorMsg = String(take!(io))
       st = sprint((io, v) -> show(io, "text/plain", v), stacktrace(catch_backtrace()))
+      noise = noises(3, 5)
       println("")
       println("Attempt $attempt. Error occurred: $errorMsg\n$st")
       println("")
@@ -1248,6 +1259,7 @@ function generatechat(a::companion)
   error("generatechat failed to generate an evaluation")
 end
 
+
 function generatequestion(a, text2textInstructLLM::Function; recent=nothing)::String
 
   # systemmsg = 
diff --git a/src/util.jl b/src/util.jl
index b9826e6..0553881 100644
--- a/src/util.jl
+++ b/src/util.jl
@@ -1,6 +1,6 @@
 module util
 
-export clearhistory, addNewMessage, vectorOfDictToText, eventdict
+export clearhistory, addNewMessage, vectorOfDictToText, eventdict, noises
 
 using UUIDs, Dates, DataStructures, HTTP, MQTTClient, JSON3
 using GeneralUtils
@@ -181,7 +181,15 @@ function eventdict(;
 end
 
 
-
+noise(n::Integer) = String(rand('a':'z', n))
+function noises(totalword::Integer, wordlength::Integer)
+  noises = ""
+  for i in 1:totalword
+    noises *= noise(wordlength) * " "
+  end
+  noises = strip(noises)
+  return noises
+end
 
 
 # """ Convert a single chat dictionary into LLM model instruct format.