diff --git a/app/cogs/actual_utils.py b/app/cogs/actual_utils.py
index e8effd64..60c76467 100644
--- a/app/cogs/actual_utils.py
+++ b/app/cogs/actual_utils.py
@@ -83,12 +83,15 @@ class ActualUtils(commands.Cog):
         description="The query you want to pass to wolfram alpha",
     )
     async def wolfram(self, ctx, query):
-        import questions
+        import wolframalpha
 
+        client = wolframalpha.Client(os.getenv("wolfram_token"))
         await ctx.defer()
-        await ctx.send_followup(
-            questions.answer_question(query),
-        )
+        try:
+            res = client.query(query)
+            return await ctx.send_followup(next(res.results).text)
+        except Exception:
+            return await ctx.send_followup("Sorry, I'm unable to answer that")
 
     @commands.has_role("Track day gamers")
     @commands.slash_command(
diff --git a/app/questions.py b/app/questions.py
deleted file mode 100755
index 9abf10d9..00000000
--- a/app/questions.py
+++ /dev/null
@@ -1,41 +0,0 @@
-import os
-import wolframalpha
-
-import help_methods
-
-
-def answer_question(message):
-    """
-    answer_question(message)
-
-    Submits a request to the wolfram API and returns the response
-    If no answer is found, tries wikipedia. If that fails, apologizes
-    """
-
-    client = wolframalpha.Client(os.getenv("wolfram_token"))
-    try:
-        res = client.query(message)
-        return next(res.results).text
-    except Exception:
-        return "Sorry, I'm unable to answer that"
-
-    return help_methods.get_help_message("message")
-
-
-def open_ai(prompt):
-    import os
-    import openai
-
-    openai.api_key = os.getenv("OPENAI_API_KEY")
-
-    response = openai.Completion.create(
-        model="text-ada-001",
-        prompt=prompt,
-        temperature=0.7,
-        max_tokens=256,
-        top_p=1,
-        frequency_penalty=0,
-        presence_penalty=0,
-    )["choices"][0]["text"]
-
-    return response