diff --git a/rdagent/log/mle_summary.py b/rdagent/log/mle_summary.py
index 383c4393..43954185 100644
--- a/rdagent/log/mle_summary.py
+++ b/rdagent/log/mle_summary.py
@@ -8,6 +8,7 @@ import pandas as pd
 
 from rdagent.app.data_science.conf import DS_RD_SETTING
 from rdagent.log.storage import FileStorage
+from rdagent.scenarios.data_science.experiment.experiment import DSExperiment
 from rdagent.utils.env import DockerEnv, MLEBDockerConf
 
 mle_de_conf = MLEBDockerConf()
@@ -31,16 +32,18 @@ def save_grade_info(log_trace_path: Path):
             competition = msg.content
 
         if "running" in msg.tag:
-            msg.content.experiment_workspace.execute(
-                env=de,
-                entry=f"bash -c 'mlebench grade-sample submission.csv {competition} --data-dir /mle/data > mle_score.txt 2>&1'",
-            )
-            msg.content.experiment_workspace.execute(env=de, entry="chmod 777 mle_score.txt")
+            if isinstance(msg.content, DSExperiment):
+                msg.content.experiment_workspace.execute(
+                    env=de,
+                    entry=f"bash -c 'mlebench grade-sample submission.csv {competition} --data-dir /mle/data > mle_score.txt 2>&1'",
+                )
+                msg.content.experiment_workspace.execute(env=de, entry="chmod 777 mle_score.txt")
 
 
 def save_all_grade_info(log_folder):
     for log_trace_path in log_folder.iterdir():
-        save_grade_info(log_trace_path)
+        if log_trace_path.is_dir():
+            save_grade_info(log_trace_path)
 
 
 def summarize_folder(log_folder: Path):
@@ -62,24 +65,26 @@ def summarize_folder(log_folder: Path):
             if "direct_exp_gen" in msg.tag:
                 loop_num += 1
             if "running" in msg.tag:
-
-                submission_path = msg.content.experiment_workspace.workspace_path / "submission.csv"
-                if submission_path.exists():
-                    made_submission_num += 1
-                    scores_path = msg.content.experiment_workspace.workspace_path / "scores.csv"
-                    valid_scores[loop_num - 1] = pd.read_csv(scores_path, index_col=0)
-                    grade_output_path = msg.content.experiment_workspace.workspace_path / "mle_score.txt"
-                    if not grade_output_path.exists():
-                        raise FileNotFoundError(f"mle_score.txt in {grade_output_path} not found, genarate it first!")
-                    grade_output = extract_mle_json(grade_output_path.read_text())
-                    if grade_output["score"] is not None:
-                        test_scores[loop_num - 1] = grade_output["score"]
-                        if grade_output["any_medal"]:
-                            medal = (
-                                "gold"
-                                if grade_output["gold_medal"]
-                                else "silver" if grade_output["silver_medal"] else "bronze"
+                if isinstance(msg.content, DSExperiment):
+                    submission_path = msg.content.experiment_workspace.workspace_path / "submission.csv"
+                    if submission_path.exists():
+                        made_submission_num += 1
+                        scores_path = msg.content.experiment_workspace.workspace_path / "scores.csv"
+                        valid_scores[loop_num - 1] = pd.read_csv(scores_path, index_col=0)
+                        grade_output_path = msg.content.experiment_workspace.workspace_path / "mle_score.txt"
+                        if not grade_output_path.exists():
+                            raise FileNotFoundError(
+                                f"mle_score.txt in {grade_output_path} not found, genarate it first!"
                             )
+                        grade_output = extract_mle_json(grade_output_path.read_text())
+                        if grade_output["score"] is not None:
+                            test_scores[loop_num - 1] = grade_output["score"]
+                            if grade_output["any_medal"]:
+                                medal = (
+                                    "gold"
+                                    if grade_output["gold_medal"]
+                                    else "silver" if grade_output["silver_medal"] else "bronze"
+                                )
 
             if "feedback" in msg.tag and "evolving" not in msg.tag:
                 if bool(msg.content):
diff --git a/rdagent/utils/workflow.py b/rdagent/utils/workflow.py
index 11305916..c8a9156e 100644
--- a/rdagent/utils/workflow.py
+++ b/rdagent/utils/workflow.py
@@ -109,8 +109,8 @@ class LoopBase:
                     step_n -= 1
 
                 li, si = self.loop_idx, self.step_idx
-
                 name = self.steps[si]
+                logger.info(f"Start Loop {li}, Step {si}: {name}")
                 with logger.tag(f"Loop_{li}.{name}"):
                     start = datetime.datetime.now(datetime.timezone.utc)
                     func = getattr(self, name)