diff --git a/blendsql/ingredients/builtin/map/main.py b/blendsql/ingredients/builtin/map/main.py
index f389d71e..917bb899 100644
--- a/blendsql/ingredients/builtin/map/main.py
+++ b/blendsql/ingredients/builtin/map/main.py
@@ -148,7 +148,7 @@ def make_predictions(lm, values, gen_f) -> guidance.models.Model:
             if example_outputs:
                 prompt += f"\nHere are some example outputs: {example_outputs}\n"
             prompt += "\nA:"
-            response = generate(model, prompt=prompt, max_tokens=max_tokens)
+            response = generate(model, prompt=prompt, max_tokens=max_tokens or 1000)
             # Post-process language model response
             _r = [
                 i.strip()
diff --git a/blendsql/ingredients/builtin/qa/main.py b/blendsql/ingredients/builtin/qa/main.py
index b63577ef..eacef0b7 100644
--- a/blendsql/ingredients/builtin/qa/main.py
+++ b/blendsql/ingredients/builtin/qa/main.py
@@ -68,16 +68,16 @@ def __call__(
                     m
                     + guidance.capture(
                         guidance.select(options=options_with_aliases),
-                        name="result",
+                        name="response",
                     )
-                )._variables["result"]
+                )._variables["response"]
             else:
                 response = (
                     m
                     + guidance.capture(
-                        guidance.gen(max_tokens=max_tokens, stop="\n"), name="response"
+                        guidance.gen(max_tokens=max_tokens or 50), name="response"
                     )
-                )._variables["result"]
+                )._variables["response"]
         else:
             prompt = m
             if model.tokenizer is not None: