diff --git a/src/interface.jl b/src/interface.jl
index 275fbaf..40ee022 100755
--- a/src/interface.jl
+++ b/src/interface.jl
@@ -187,7 +187,7 @@ function planner_mistral_openorca(a::agentReflex)
     The required info you need for wine recommendation:
         - type of food: ask the user
         - occasion: ask the user
-        - type of wine (red, white, rose, sparkling, etc): ask the user
+        - type of wine (red, white, etc): ask the user
         - user's personal taste of wine characteristic (sweetness, acidity, etc): ask the user
         - wine price range: ask the user
         - ambient temperature at the serving location: ask the user
@@ -459,7 +459,7 @@ function actor_mistral_openorca(a::agentReflex)
     @show iskey_Act = haskey(chunkedtext, "Act $(a.step):")
     @show iskey_Actinput = haskey(chunkedtext, "Actinput $(a.step):")
     if iskey_Thought && iskey_Act && iskey_Actinput
-      if length(chunkedtext["Thought $(a.step):"]) > 10 && length(chunkedtext["Act $(a.step):"]) > 10
+      if chunkedtext["Thought $(a.step):"] != " " && chunkedtext["Act $(a.step):"] != " "
         break
       end
     end
@@ -690,9 +690,14 @@ function actor(a::agentReflex)
     # check whether the current step is completed
     isstepcomplete, reason = checkStepCompletion(a)
     @show stepcompletecheck = reason
+    iskey_Thought = haskey(a.memory[:shortterm], "Thought $(a.step):")
     chunkedtext = nothing
 
-    if !haskey(a.memory[:shortterm], "Thought $(a.step):")  # agent didn't do this step yet.
+    if isstepcomplete # step complete
+      println(">>> step +1")
+      a.step += 1
+    elseif isstepcomplete == false && iskey_Thought == false # step not done, do work
+      println(">>> working")
       # work
       toolname, toolinput, chunkedtext = actor_mistral_openorca(a)
       println("")
@@ -709,6 +714,7 @@ function actor(a::agentReflex)
         actorState = toolname
         break
       elseif toolname == "noaction"
+        println(">>> already done")
         a.step += 1
       else  # function call
         f = a.tools[toolname][:func]
@@ -717,44 +723,50 @@ function actor(a::agentReflex)
         a.memory[:shortterm]["Obs $(a.step):"] = toolresult
         a.memory[:log]["Obs $(a.step):"] = toolresult
       end
-    elseif haskey(a.memory[:shortterm], "Thought $(a.step):") && isstepcomplete == false
+    elseif isstepcomplete == false && iskey_Thought == true  # step done but not complete try again
       a.memory[:shortterm] = removeHeaders(a.memory[:shortterm], a.step, ["Plan"])
       println("repeating step $(a.step)")
-    elseif haskey(a.memory[:shortterm], "Thought $(a.step):") && isstepcomplete == true
-      println(">>> step +1")
-      a.step += 1
     else
-      iskey = haskey(a.memory[:shortterm], "Thought $(a.step):")
-      error("undefined condition. Thought key=$iskey, isstepcomplete=$isstepcomplete $(@__LINE__)")
+      error("undefined condition. isstepcomplete=$isstepcomplete, Thought key=$iskey_Thought $(@__LINE__)")
     end
 
 
 
+    # if !haskey(a.memory[:shortterm], "Thought $(a.step):")  # agent didn't do this step yet.
+    #   # work
+    #   toolname, toolinput, chunkedtext = actor_mistral_openorca(a)
+    #   println("")
+    #   @show toolname
+    #   @show toolinput
+    #   println("")
+    #   @show a.step
+    #   addShortMem!(a.memory[:shortterm], chunkedtext)
+    #   println("")
 
-
-
-
-
-
-
-
-
-
-
-
-
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-
-
-
-
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-
-
+    #   if toolname == "chatbox"  # chat with user
+    #     msgToUser = toolinput
+    #     msgToUser = split(msgToUser, "\n\n")[1]
+    #     actorState = toolname
+    #     break
+    #   elseif toolname == "noaction"
+    #     a.step += 1
+    #   else  # function call
+    #     f = a.tools[toolname][:func]
+    #     toolresult = f(a, toolinput)
+    #     @show toolresult
+    #     a.memory[:shortterm]["Obs $(a.step):"] = toolresult
+    #     a.memory[:log]["Obs $(a.step):"] = toolresult
+    #   end
+    # elseif haskey(a.memory[:shortterm], "Thought $(a.step):") && isstepcomplete == false
+    #   a.memory[:shortterm] = removeHeaders(a.memory[:shortterm], a.step, ["Plan"])
+    #   println("repeating step $(a.step)")
+    # elseif haskey(a.memory[:shortterm], "Thought $(a.step):") && isstepcomplete == true
+    #   println(">>> step +1")
+    #   a.step += 1
+    # else
+    #   iskey = haskey(a.memory[:shortterm], "Thought $(a.step):")
+    #   error("undefined condition. Thought key=$iskey, isstepcomplete=$isstepcomplete $(@__LINE__)")
+    # end
 
 
 
@@ -1237,7 +1249,7 @@ function checkStepCompletion(a)
     So for instance the following:
       Step 2 of the plan: Ask user about their preferred taste of a pizza.
       Obs: I love Malvasia.
-      assistant: I can't find any relevant info that the user tell me their preferred taste in pizza wine according to Obs. Thus, step 2 isn't done yet. {answer: not done}
+      assistant: I can't find any relevant info that the user tell me their preferred taste in pizza wine according to Thought and Obs. Thus, step 2 isn't done yet. {answer: not done}
 
       Step 5 of the plan: Ask user if they have any preferred type of car. 
       Obs: I like a semi truck. 
@@ -1247,6 +1259,7 @@ function checkStepCompletion(a)
     <|assistant|>
   """
   response = nothing
+  _response = nothing
   while true
     _response = sendReceivePrompt(a, prompt, max_tokens=512)
     response = split(_response, "}")[1] * "}"
diff --git a/src/type.jl b/src/type.jl
index dc287ce..d0c1bad 100644
--- a/src/type.jl
+++ b/src/type.jl
@@ -167,8 +167,8 @@ function agentReflex(
     :actor=> 
       """
       Your task is to do the following:
-      Thought: you think what to do based on step {step} of the plan (pay attention to correct numeral calculation and commonsense).
-      Act: the action to take according to your thought, should be one of [{toolnames}]
+      Thought: using step {step} of the plan as a guideline, what to do? (pay attention to correct numeral calculation and commonsense).
+      Act: the action to take based on your thought, must be one of [{toolnames}]
       Actinput: your input to the action you chose (pay attention to the tool's input)
       Obs: observed result of the action
       """,