diff --git a/.forgejo/workflows/agent-test-deploy.yml b/.forgejo/workflows/agent-test-deploy.yml
index 2975986..692f426 100644
--- a/.forgejo/workflows/agent-test-deploy.yml
+++ b/.forgejo/workflows/agent-test-deploy.yml
@@ -1,13 +1,6 @@
 name: AI Agent - Test & Deploy
 
 on:
-  push:
-    branches:
-      - master
-    paths:
-      - 'mnemo_cards_web_v2/**'
-      - 'mnemo_cards_backend/**'
-      - 'mnemo_cards_common/**'
   workflow_dispatch:
     inputs:
       component:
diff --git a/tools/agent/agent_orchestrator.py b/tools/agent/agent_orchestrator.py
index 8a5a64a..0c9f2fb 100644
--- a/tools/agent/agent_orchestrator.py
+++ b/tools/agent/agent_orchestrator.py
@@ -710,7 +710,7 @@ This PR contains changes for task {task.id} completed by AI Agent.
             print(f"❌ Failed to create PR: {e}")
             return False
     
-git    def _create_branch_and_pr(self, task: Task) -> bool:
+    def _create_branch_and_pr(self, task: Task) -> bool:
         """Create a feature branch and PR for the task."""
         # Get current task if not provided
         if not task:
diff --git a/tools/agent/config.py b/tools/agent/config.py
index ea341a4..37f2f78 100644
--- a/tools/agent/config.py
+++ b/tools/agent/config.py
@@ -77,7 +77,7 @@ class AgentConfig:
             max_retries=int(os.getenv("MAX_RETRIES", "3")),
             timeout_hours=int(os.getenv("TIMEOUT_HOURS", "6")),
             cursor_api_key=os.getenv("CURSOR_API_KEY"),
-            cursor_model=os.getenv("CURSOR_MODEL", "claude-3-5-sonnet-20241022"),
+            cursor_model=os.getenv("CURSOR_MODEL", "auto"),
             forgejo_token=os.getenv("FORGEJO_TOKEN"),
             forgejo_api_url=os.getenv("FORGEJO_API_URL") or os.getenv("GITHUB_API_URL"),
             commit_mode=os.getenv("COMMIT_MODE", "master"),
diff --git a/tools/agent/cursor_cli_wrapper.py b/tools/agent/cursor_cli_wrapper.py
index 1361150..ab2f4a5 100644
--- a/tools/agent/cursor_cli_wrapper.py
+++ b/tools/agent/cursor_cli_wrapper.py
@@ -39,7 +39,7 @@ class CursorCLI:
     def __init__(self, 
                  project_root: Path, 
                  api_key: str,
-                 model: str = "claude-3-5-sonnet-20241022",
+                 model: str = "auto",
                  verbose: bool = True):
         self.project_root = project_root
         self.api_key = api_key
@@ -123,13 +123,32 @@ class CursorCLI:
         # Add bash paths if they exist
         additional_paths = ":".join([p for p in bash_paths if os.path.exists(p)])
         new_path = ":".join([additional_paths, current_path]) if additional_paths else current_path
-        
+        # Prepare environment variables
         env = {
             "CURSOR_API_KEY": self.api_key,
-            "CURSOR_MODEL": self.model,
             "PATH": new_path,
         }
         
+        # Prepare command
+        cmd = [self.cursor_agent_path]
+        
+        # Add model flag if provided
+        if self.model:
+             cmd.extend(["--model", self.model])
+             
+        # Add prompt
+        cmd.append(task_description)
+        
+        # Add options
+        cmd.extend(["--output-format", "stream-json"])
+        cmd.append("--stream-partial-output")
+        
+        if force:
+            cmd.append("--force")
+        
+        # Add print mode (non-interactive)
+        cmd.append("-p")
+        
         if self.verbose:
             print(f"🚀 Running cursor-agent in {self.project_root}")
             print(f"📝 Task: {task_description[:100]}...")
diff --git a/tools/agent/doc_updater.py b/tools/agent/doc_updater.py
index 529daec..c800228 100644
--- a/tools/agent/doc_updater.py
+++ b/tools/agent/doc_updater.py
@@ -12,7 +12,7 @@ def main():
     """Main entry point."""
     parser = argparse.ArgumentParser(description="Update documentation for a component")
     parser.add_argument("component", choices=["web_v2", "backend", "common"], help="Component to document")
-    parser.add_argument("--model", default="claude-3-5-sonnet-20241022", help="LLM model to use")
+    parser.add_argument("--model", default="auto", help="LLM model to use")
     
     args = parser.parse_args()