diff --git a/src/aind_dynamic_foraging_basic_analysis/autolickport/autoport.py b/src/aind_dynamic_foraging_basic_analysis/autolickport/autoport.py
new file mode 100644
index 0000000..dc03f87
--- /dev/null
+++ b/src/aind_dynamic_foraging_basic_analysis/autolickport/autoport.py
@@ -0,0 +1,53 @@
+# from aind_dynamic_foraging_multisession_analysis import multisession_plot as ms_plot
+# from aind_dynamic_foraging_data_utils import nwb_utils as nu
+### Notes
+# Make a function that adds trial vector of decision points in autoport
+# Then we can just pass into normal plotting functions
+
+
+def annotate_autolickport(nwb):
+    """
+    annotates decision points, and decisions to move
+    """
+
+    # TODO Add input option for this
+    params = {
+        "max_water_reward_attempts": 10,
+        "trial_interval": 50,
+        "bias_upper_threshold": 0.7,
+        "bias_lower_threshold": 0.3,
+        "lick_spout_movement": {"range_um": 300.0, "step_size_um": 50.0},
+    }
+
+    # TODO add check for df_trials exisitence
+    df = nwb.df_trials.copy()
+
+    last_bias_intervention = 0
+    water_reward_attempts = 0
+    autoport_check =[]
+    autoport_water = []
+    autoport_movement = []
+    for trial_number in range(len(df)):
+        this_check=False
+        this_water=False
+        this_movement=False
+        if params["trial_interval"] <= trial_number - last_bias_intervention:
+            this_check=True
+            if abs(df.loc[trial_number]["side_bias"]) > params["bias_upper_threshold"]:
+                last_bias_intervention = trial_number
+
+                # first try water intervention
+                if water_reward_attempts < params["max_water_reward_attempts"]:
+                    print(f"Bias over threshold. Attempting water intervention.")
+                    this_water = True
+                else:
+                    print(f"Maximum watering attempts exceeded. Moving lickspouts for bias. ")
+                    water_reward_attempts = 0
+                    this_movement=True
+        autoport_check.append(this_check)
+        autoport_water.append(this_water)
+        autoport_movement.append(this_movement)
+    df['autoport_check'] = autoport_check
+    df['autoport_water'] = autoport_water
+    df['autoport_movement'] = autoport_movement 
+    return df