diff --git a/README.md b/README.md
new file mode 100644
index 00000000..316753e4
--- /dev/null
+++ b/README.md
@@ -0,0 +1,91 @@
+# Stagehand + Browserbase Templates
+
+A comprehensive collection of ready-to-use automation templates demonstrating the power of Stagehand and Browserbase for web automation, data extraction, and AI-powered browser interactions.
+
+## 🚀 Quick Start
+
+1. **Choose your language**: TypeScript or Python
+2. **Browse available templates** in the respective language folder
+3. **Read the template's README** for detailed setup instructions and use cases
+4. **Start automating!**
+
+## 📁 Available Templates
+
+### TypeScript Templates (`/typescript/`)
+- **context** - AI-powered context switching and page analysis
+- **formFilling** - Automated form submission and data entry  
+- **giftfinder** - AI-powered product discovery and recommendation
+- **pickleball** - Court booking automation with user interaction
+- **proxies** - Proxy testing and geolocation verification
+- **realEstateCheck** - License verification and data extraction
+
+### Python Templates (`/python/`)
+- **context** - AI-powered context switching and page analysis
+- **formFilling** - Automated form submission and data entry
+- **giftfinder** - AI-powered product discovery and recommendation
+- **pickleball** - Court booking automation with user interaction
+- **proxies** - Proxy testing and geolocation verification
+- **realEstateCheck** - License verification and data extraction
+
+> **📖 Each template includes a comprehensive README with:**
+> - Detailed setup instructions
+> - Required environment variables
+> - Use cases and examples
+> - Troubleshooting guides
+> - Dependencies and installation steps
+
+## 🔧 Getting Started
+
+1. **Choose a template** from the TypeScript or Python folders
+2. **Read the template's README** for specific setup instructions
+3. **Set up your environment** with the required API keys and dependencies
+4. **Run the template** and start automating!
+
+> **💡 Pro Tip**: Each template's README contains detailed installation steps, environment variable requirements, and troubleshooting guides specific to that template.
+
+## 📚 Resources
+
+### Documentation
+- **Stagehand Docs**: https://docs.browserbase.com/stagehand
+- **Browserbase Docs**: https://docs.browserbase.com
+- **API Reference**: https://docs.browserbase.com/api
+
+### Support
+- **Community**: Join our Discord community
+- **Email Support**: support@browserbase.com
+- **GitHub Issues**: Report bugs and request features
+
+### Examples & Tutorials
+- **Getting Started Guide**: Learn the basics of Stagehand
+- **Advanced Patterns**: Complex automation workflows
+- **Best Practices**: Tips for reliable automation
+
+## 🤝 Contributing
+
+We welcome contributions! Here's how you can help:
+
+1. **Report Bugs**: Use GitHub issues to report problems
+2. **Suggest Features**: Propose new templates or improvements
+3. **Submit Pull Requests**: Contribute code improvements
+4. **Share Templates**: Create and share your own templates
+
+### Template Guidelines
+- Follow the established structure and naming conventions
+- Include comprehensive README documentation
+- Add proper error handling and logging
+- Test templates thoroughly before submitting
+
+## 📄 License
+
+This project is licensed under the MIT License - see the LICENSE file for details.
+
+## 🙏 Acknowledgments
+
+- **Stagehand Team**: For the amazing automation framework
+- **Browserbase Team**: For reliable cloud browser infrastructure
+- **Community Contributors**: For templates and improvements
+- **Open Source Projects**: For the tools and libraries we build upon
+
+---
+
+**Ready to start automating?** Pick a template and follow its README to get started! 🚀
diff --git a/python/context/README.md b/python/context/README.md
index 775cc6df..c575cf22 100644
--- a/python/context/README.md
+++ b/python/context/README.md
@@ -14,18 +14,14 @@
   Docs → https://docs.stagehand.dev/basics/act
 
 ## QUICKSTART
- 1) Create virtual environment (optional but recommended):
-      python -m venv venv
-      source venv/bin/activate  # On Windows: venv\Scripts\activate
- 2) Install dependencies:
-      pip install stagehand browserbase python-dotenv pydantic requests
- 3) Create .env with:
-      BROWSERBASE_PROJECT_ID=...
-      BROWSERBASE_API_KEY=...
-      SF_REC_PARK_EMAIL=...
-      SF_REC_PARK_PASSWORD=...
- 4) Run:
-      python index.py
+ 1) cd context-template
+ 2) python -m venv venv
+ 3) source venv/bin/activate  # On Windows: venv\Scripts\activate
+ 4) pip install -r requirements.txt
+ 5) pip install browserbase pydantic requests
+ 6) cp .env.example .env
+ 7) Add your Browserbase API key, Project ID, and SF Rec Park credentials to .env
+ 8) python main.py
 
 ## EXPECTED OUTPUT
 - Creates context, performs login, saves auth state
diff --git a/python/context/index.py b/python/context/main.py
similarity index 92%
rename from python/context/index.py
rename to python/context/main.py
index bf545f31..59b6115e 100644
--- a/python/context/index.py
+++ b/python/context/main.py
@@ -41,9 +41,12 @@ async def create_session_context_id():
         env="BROWSERBASE",
         api_key=os.environ.get("BROWSERBASE_API_KEY"),
         project_id=os.environ.get("BROWSERBASE_PROJECT_ID"),
-        model_name="gpt-4o",
+        model_name="openai/gpt-4.1",
         model_api_key=os.environ.get("OPENAI_API_KEY"),
         browserbase_session_id=session.id,
+        verbose=1  # 0 = errors only, 1 = info, 2 = debug 
+        # (When handling sensitive data like passwords or API keys, set verbose: 0 to prevent secrets from appearing in logs.) 
+        # https://docs.stagehand.dev/configuration/logging
     )
     
     async with Stagehand(config) as stagehand:
@@ -102,7 +105,7 @@ async def main():
         env="BROWSERBASE",
         api_key=os.environ.get("BROWSERBASE_API_KEY"),
         project_id=os.environ.get("BROWSERBASE_PROJECT_ID"),
-        model_name="gpt-4o",
+        model_name="openai/gpt-4.1",
         model_api_key=os.environ.get("OPENAI_API_KEY"),
         browserbase_session_create_params={
             "project_id": os.environ.get("BROWSERBASE_PROJECT_ID"),
@@ -112,7 +115,10 @@ async def main():
                     "persist": True,
                 }
             }
-        }
+        },
+        verbose=1  # 0 = errors only, 1 = info, 2 = debug 
+        # (When handling sensitive data like passwords or API keys, set verbose: 0 to prevent secrets from appearing in logs.) 
+        # https://docs.stagehand.dev/configuration/logging
     )
     
     async with Stagehand(config) as stagehand:
diff --git a/python/formFilling/README.md b/python/form-filling/README.md
similarity index 87%
rename from python/formFilling/README.md
rename to python/form-filling/README.md
index 458aefb3..53445766 100644
--- a/python/formFilling/README.md
+++ b/python/form-filling/README.md
@@ -15,17 +15,13 @@
 - variable substitution: inject dynamic values into actions using `%variable%` syntax
 
 ## QUICKSTART
- 1) Create virtual environment (optional but recommended):
-      python -m venv venv
-      source venv/bin/activate  # On Windows: venv\Scripts\activate
- 2) Install dependencies:
-      pip install stagehand python-dotenv
- 3) Create .env with:
-      BROWSERBASE_PROJECT_ID=...
-      BROWSERBASE_API_KEY=...
-      OPENAI_API_KEY=...
- 4) Run:
-      python index.py
+ 1) cd form-fill-template
+ 2) python -m venv venv
+ 3) source venv/bin/activate  # On Windows: venv\Scripts\activate
+ 4) pip install -r requirements.txt
+ 5) cp .env.example .env
+ 6) Add your Browserbase API key and Project ID to .env
+ 7) python main.py
 
 ## EXPECTED OUTPUT
 - Initializes Stagehand session with Browserbase
diff --git a/python/formFilling/index.py b/python/form-filling/main.py
similarity index 87%
rename from python/formFilling/index.py
rename to python/form-filling/main.py
index 70811156..570a12f8 100644
--- a/python/formFilling/index.py
+++ b/python/form-filling/main.py
@@ -26,11 +26,14 @@ async def main():
         env="BROWSERBASE",
         api_key=os.environ.get("BROWSERBASE_API_KEY"),
         project_id=os.environ.get("BROWSERBASE_PROJECT_ID"),
-        model_name="gpt-4o",
+        model_name="openai/gpt-4.1",
         model_api_key=os.environ.get("OPENAI_API_KEY"),
         browserbase_session_create_params={
             "project_id": os.environ.get("BROWSERBASE_PROJECT_ID"),
-        }
+        },
+        verbose=1  # 0 = errors only, 1 = info, 2 = debug 
+        # (When handling sensitive data like passwords or API keys, set verbose: 0 to prevent secrets from appearing in logs.) 
+        # https://docs.stagehand.dev/configuration/logging
     )
 
     try:
@@ -52,15 +55,7 @@ async def main():
                 timeout=60000  # Extended timeout for reliable page loading.
             )
 
-            # Analyze form structure to identify fillable fields before attempting to fill.
-            print("Analyzing form fields...")
-            contact_page = await page.observe(
-                instruction="What are the fields that can be filled in?",
-                return_action=True  # Return action objects for potential reuse with act().
-            )
-            print(f"Available form fields: {contact_page}")
-
-            # Fill form using a more reliable approach with individual field targeting.
+            # Fill form using individual act() calls for reliability
             print("Filling in contact form...")
             
             # Fill each field individually for better reliability
diff --git a/python/giftfinder/README.md b/python/gift-finder/README.md
similarity index 88%
rename from python/giftfinder/README.md
rename to python/gift-finder/README.md
index 3ffbbec9..c8a391b6 100644
--- a/python/giftfinder/README.md
+++ b/python/gift-finder/README.md
@@ -17,17 +17,14 @@
   Docs → https://docs.browserbase.com/features/proxies
 
 ## QUICKSTART
- 1) Create virtual environment (optional but recommended):
-      python -m venv venv
-      source venv/bin/activate  # On Windows: venv\Scripts\activate
- 2) Install dependencies:
-      pip install stagehand python-dotenv InquirerPy openai pydantic
- 3) Create .env with:
-      BROWSERBASE_PROJECT_ID=...
-      BROWSERBASE_API_KEY=...
-      OPENAI_API_KEY=...
- 4) Run:
-      python index.py
+ 1) cd gift-finder-template
+ 2) python -m venv venv
+ 3) source venv/bin/activate  # On Windows: venv\Scripts\activate
+ 4) pip install -r requirements.txt
+ 5) pip install InquirerPy pydantic openai
+ 6) cp .env.example .env
+ 7) Add your Browserbase API key, Project ID, and OpenAI API key to .env
+ 8) python main.py
 
 ## EXPECTED OUTPUT
 - Prompts user for recipient and description
diff --git a/python/giftfinder/index.py b/python/gift-finder/main.py
similarity index 84%
rename from python/giftfinder/index.py
rename to python/gift-finder/main.py
index ea513706..d4d317b0 100644
--- a/python/giftfinder/index.py
+++ b/python/gift-finder/main.py
@@ -37,13 +37,19 @@ class SearchResult(BaseModel):
 
 
 async def generate_search_queries(recipient: str, description: str) -> List[str]:
+    """
+    Generate intelligent search queries based on recipient profile.
+    
+    Uses AI to create thoughtful, complementary gift search terms that go beyond
+    obvious basics to find unique and meaningful gifts.
+    """
     print(f"Generating search queries for {recipient}...")
 
     # Use AI to generate search terms based on recipient profile
     # This avoids generic searches and focuses on thoughtful, complementary gifts
     response = await asyncio.to_thread(
         client.chat.completions.create,
-        model="gpt-4o",
+        model="gpt-4.1",
         messages=[
             {
                 "role": "user",
@@ -80,6 +86,12 @@ async def score_products(
     recipient: str,
     description: str,
 ) -> List[Product]:
+    """
+    Score and rank products based on recipient profile using AI.
+    
+    Analyzes each product against the recipient's interests, relationship context,
+    value, uniqueness, and practical usefulness to find the best gift matches.
+    """
     print("AI is analyzing gift options based on recipient profile...")
 
     # Flatten all products from multiple search sessions into single array
@@ -99,7 +111,7 @@ async def score_products(
 
     response = await asyncio.to_thread(
         client.chat.completions.create,
-        model="gpt-4o",
+        model="gpt-4.1",
         messages=[
             {
                 "role": "user",
@@ -176,6 +188,12 @@ async def score_products(
 
 
 async def get_user_input() -> GiftFinderAnswers:
+    """
+    Collect user input for gift recipient and description.
+    
+    Uses interactive CLI prompts with validation to gather information
+    needed for intelligent gift recommendations.
+    """
     print("Welcome to the Gift Finder App!")
     print("Find the perfect gift with intelligent web browsing")
 
@@ -208,16 +226,26 @@ def get_description():
 
 
 async def main() -> None:
+    """
+    Main application entry point.
+    
+    Orchestrates the entire gift finding process:
+    1. Collects user input
+    2. Generates intelligent search queries
+    3. Runs concurrent browser searches
+    4. Scores and ranks products with AI
+    5. Displays top recommendations
+    """
     print("Starting Gift Finder Application...")
 
+    # Step 1: Collect user input
     user_input = await get_user_input()
     recipient = user_input.recipient
     description = user_input.description
     print(f"User input received: {recipient} - {description}")
 
+    # Step 2: Generate search queries using AI
     print("\nGenerating intelligent search queries...")
-
-    # Generate search queries with fallback for reliability
     try:
         search_queries = await generate_search_queries(recipient, description)
 
@@ -227,39 +255,40 @@ async def main() -> None:
             print(f"   {index + 1}. {cleaned_query}")
     except Exception as error:
         print(f"Error generating search queries: {error}")
-        # Fallback queries
+        # Fallback queries ensure app continues working
         search_queries = ["gifts", "accessories", "items"]
         print("Using fallback search queries")
 
+    # Step 3: Start concurrent browser searches
     print("\nStarting concurrent browser searches...")
 
     async def run_single_search(query: str, session_index: int) -> SearchResult:
         print(f"Starting search session {session_index + 1} for: \"{query}\"")
 
         # Create separate Stagehand instance for each search to run concurrently
-        # Each session searches independently to maximize speed
+        # Each session searches independently to maximize speed and parallel processing
         config = StagehandConfig(
             env="BROWSERBASE",
             api_key=os.environ.get("BROWSERBASE_API_KEY"),
             project_id=os.environ.get("BROWSERBASE_PROJECT_ID"),
-            verbose=0,
-            # 0 = errors only, 1 = info, 2 = debug 
-            # (When handling sensitive data like passwords or API keys, set verbose: 0 to prevent secrets from appearing in logs.) 
+            verbose=1,  # Silent logging to avoid cluttering output
+            # Logging levels: 0 = errors only, 1 = info, 2 = debug 
+            # When handling sensitive data like passwords or API keys, set verbose: 0 to prevent secrets from appearing in logs
             # https://docs.stagehand.dev/configuration/logging
-            model_name="gpt-4o",
+            model_name="openai/gpt-4.1",
             model_api_key=os.environ.get("OPENAI_API_KEY"),
             browserbase_session_create_params={
                 "project_id": os.environ.get("BROWSERBASE_PROJECT_ID"),
-                # Proxies require Developer Plan or higher - comment in if you have a Developer Plan or higher
-                #   "proxies": [
+                # Proxies require Developer Plan or higher - uncomment if you have a Developer Plan or higher
+                # "proxies": [
                 #     {
-                #       "type": "browserbase",
-                #       "geolocation": {
-                #         "city": "LONDON",
-                #         "country": "GB"
-                #       }
+                #         "type": "browserbase",
+                #         "geolocation": {
+                #             "city": "LONDON",
+                #             "country": "GB"
+                #         }
                 #     }
-                #   ],
+                # ],
                 "region": "us-east-1",
                 "timeout": 900,
                 "browser_settings": {
@@ -272,6 +301,7 @@ async def run_single_search(query: str, session_index: int) -> SearchResult:
         )
 
         try:
+            # Initialize browser session with Stagehand
             async with Stagehand(config) as session_stagehand:
                 session_page = session_stagehand.page
 
@@ -286,7 +316,7 @@ async def run_single_search(query: str, session_index: int) -> SearchResult:
                     live_view_url = f"https://www.browserbase.com/sessions/{session_id}"
                     print(f"Session {session_index + 1} Live View: {live_view_url}")
 
-                # Navigate to European gift site - proxies help with regional access
+                # Navigate to European gift site
                 print(f"Session {session_index + 1}: Navigating to Firebox.eu...")
                 await session_page.goto("https://firebox.eu/")
 
@@ -299,7 +329,7 @@ async def run_single_search(query: str, session_index: int) -> SearchResult:
                 # Extract structured product data using Pydantic schema for type safety
                 print(f"Session {session_index + 1}: Extracting product data...")
                 
-                # Define schema using Pydantic
+                # Define Pydantic schemas for structured data extraction
                 class ProductItem(BaseModel):
                     title: str = Field(..., description="the title/name of the product")
                     url: HttpUrl = Field(..., description="the full URL link to the product page")
@@ -343,12 +373,13 @@ class ProductsData(BaseModel):
                 products=[]
             )
 
+    # Create concurrent search tasks for all generated queries
     search_promises = [run_single_search(query, index) for index, query in enumerate(search_queries)]
 
     print("\nBrowser Sessions Starting...")
     print("Live view links will appear as each session initializes")
 
-    # Wait for all concurrent searches to complete
+    # Execute all searches concurrently using asyncio.gather()
     all_results = await asyncio.gather(*search_promises)
 
     # Calculate total products found across all search sessions
@@ -360,6 +391,7 @@ class ProductsData(BaseModel):
     for result in all_results:
         all_products_flat.extend(result.products)
 
+    # Step 4: Score and rank products with AI
     if len(all_products_flat) > 0:
         try:
             # AI scores all products and ranks them by relevance to recipient
@@ -367,6 +399,7 @@ class ProductsData(BaseModel):
             top3_products = scored_products[:3]
 
             print("\nTOP 3 RECOMMENDED GIFTS:")
+            print("=" * 50)
 
             # Display top 3 products with AI reasoning for transparency
             for index, product in enumerate(top3_products):
@@ -374,19 +407,21 @@ class ProductsData(BaseModel):
                 print(f"\n{rank} - {product.title}")
                 print(f"Price: {product.price}")
                 print(f"Rating: {product.rating}")
-                print(f"Score: {product.ai_score}/10")
+                print(f"AI Score: {product.ai_score}/10")
                 print(f"Why: {product.ai_reason}")
                 print(f"Link: {product.url}")
+                print("-" * 30)
 
             print(
                 f"\nGift finding complete! Found {total_products} products, analyzed {len(scored_products)} with AI."
             )
         except Exception as error:
+            # Handle AI scoring errors
             print(f"Error scoring products: {error}")
             print(f"Target: {recipient}")
             print(f"Profile: {description}")
     else:
-        # Handle case where no products were found across all searches
+        # Handle case where no products were found
         print("No products found to score")
         print("Try adjusting your recipient description or check if the website is accessible")
 
@@ -399,4 +434,4 @@ class ProductsData(BaseModel):
     except Exception as err:
         print(f"Application error: {err}")
         print("Check your environment variables and internet connection")
-        exit(1)
+        exit(1)
\ No newline at end of file
diff --git a/python/realEstateCheck/README.md b/python/license-verification/README.md
similarity index 88%
rename from python/realEstateCheck/README.md
rename to python/license-verification/README.md
index 1b96bd60..8405010a 100644
--- a/python/realEstateCheck/README.md
+++ b/python/license-verification/README.md
@@ -17,16 +17,14 @@
 - structured scraping: extracting consistent, typed data that can flow into apps, CRMs, or compliance systems.
 
 ## QUICKSTART
- 1) Create virtual environment (optional but recommended):
-      python -m venv venv
-      source venv/bin/activate  # On Windows: venv\Scripts\activate
- 2) Install dependencies:
-      pip install stagehand python-dotenv pydantic
- 3) Create .env with:
-      BROWSERBASE_PROJECT_ID=...
-      BROWSERBASE_API_KEY=...
- 4) Run:
-      python index.py
+ 1) cd license-verification-template
+ 2) python -m venv venv
+ 3) source venv/bin/activate  # On Windows: venv\Scripts\activate
+ 4) pip install -r requirements.txt
+ 5) pip install pydantic
+ 6) cp .env.example .env
+ 7) Add your Browserbase API key and Project ID to .env
+ 8) python main.py
 
 ## EXPECTED OUTPUT
 - Navigates to California DRE license verification website
diff --git a/python/realEstateCheck/index.py b/python/license-verification/main.py
similarity index 98%
rename from python/realEstateCheck/index.py
rename to python/license-verification/main.py
index 907b8097..b0011c08 100644
--- a/python/realEstateCheck/index.py
+++ b/python/license-verification/main.py
@@ -22,11 +22,11 @@ async def main():
         env="BROWSERBASE",  # Use Browserbase cloud browsers for reliable automation.
         api_key=os.environ.get("BROWSERBASE_API_KEY"),
         project_id=os.environ.get("BROWSERBASE_PROJECT_ID"),
-        verbose=0,
+        verbose=1,
         # 0 = errors only, 1 = info, 2 = debug 
         # (When handling sensitive data like passwords or API keys, set verbose: 0 to prevent secrets from appearing in logs.) 
         # https://docs.stagehand.dev/configuration/logging
-        model_name="gpt-4o",
+        model_name="openai/gpt-4.1",
         model_api_key=os.environ.get("OPENAI_API_KEY"),
     )
 
diff --git a/python/pickleball/README.md b/python/pickleball/README.md
index 531383d4..63e46c45 100644
--- a/python/pickleball/README.md
+++ b/python/pickleball/README.md
@@ -20,18 +20,14 @@
 
 ## QUICKSTART
 1) Create an account with SF Recreation & Parks website -> https://www.rec.us/organizations/san-francisco-rec-park
-2) Create virtual environment (optional but recommended):
-   python -m venv venv
-   source venv/bin/activate  # On Windows: venv\Scripts\activate
-3) Install dependencies:
-   pip install stagehand python-dotenv InquirerPy pydantic
-4) Create .env with:
-   BROWSERBASE_PROJECT_ID=...
-   BROWSERBASE_API_KEY=...
-   SF_REC_PARK_EMAIL=...
-   SF_REC_PARK_PASSWORD=...
-5) Run:
-   python index.py
+2) cd pickleball-template
+3) python -m venv venv
+4) source venv/bin/activate  # On Windows: venv\Scripts\activate
+5) pip install -r requirements.txt
+6) pip install InquirerPy pydantic
+7) cp .env.example .env
+8) Add your Browserbase API key, Project ID, and SF Rec Park credentials to .env
+9) python main.py
 
 ## EXPECTED OUTPUT
 - Prompts user for activity type (Tennis/Pickleball), date, and time
diff --git a/python/pickleball/index.py b/python/pickleball/main.py
similarity index 99%
rename from python/pickleball/index.py
rename to python/pickleball/main.py
index 976ebf20..bac60f47 100644
--- a/python/pickleball/index.py
+++ b/python/pickleball/main.py
@@ -326,11 +326,11 @@ async def book_tennis_paddle_court():
         env="BROWSERBASE",
         api_key=os.environ.get("BROWSERBASE_API_KEY"),
         project_id=os.environ.get("BROWSERBASE_PROJECT_ID"),
-        verbose=0,
+        verbose=1,
         # 0 = errors only, 1 = info, 2 = debug 
         # (When handling sensitive data like passwords or API keys, set verbose: 0 to prevent secrets from appearing in logs.) 
         # https://docs.stagehand.dev/configuration/logging
-        model_name="gpt-4o",
+        model_name="openai/gpt-4.1",
         model_api_key=os.environ.get("OPENAI_API_KEY"),
         browserbase_session_create_params={
             "project_id": os.environ.get("BROWSERBASE_PROJECT_ID"),
diff --git a/python/proxies/README.md b/python/proxies/README.md
index df61a21d..45286133 100644
--- a/python/proxies/README.md
+++ b/python/proxies/README.md
@@ -8,17 +8,15 @@
   Docs → https://docs.browserbase.com/features/proxies
 
 ## QUICKSTART
- 1) Create virtual environment (optional but recommended):
-      python -m venv venv
-      source venv/bin/activate  # On Windows: venv\Scripts\activate
- 2) Install dependencies:
-      pip install playwright browserbase python-dotenv
-      playwright install chromium
- 3) Create .env with:
-      BROWSERBASE_PROJECT_ID=...
-      BROWSERBASE_API_KEY=...
- 4) Run:
-      python index.py
+ 1) cd proxies-template
+ 2) python -m venv venv
+ 3) source venv/bin/activate  # On Windows: venv\Scripts\activate
+ 4) pip install -r requirements.txt
+ 5) pip install browserbase playwright
+ 6) playwright install chromium
+ 7) cp .env.example .env
+ 8) Add your Browserbase API key and Project ID to .env
+ 9) python main.py
 
 ## EXPECTED OUTPUT
 - Tests built-in proxy rotation
diff --git a/python/proxies/index.py b/python/proxies/main.py
similarity index 61%
rename from python/proxies/index.py
rename to python/proxies/main.py
index bf9de69e..5341a082 100644
--- a/python/proxies/index.py
+++ b/python/proxies/main.py
@@ -4,6 +4,8 @@
 import asyncio
 from playwright.async_api import async_playwright
 from browserbase import Browserbase
+from stagehand import Stagehand, StagehandConfig
+from pydantic import BaseModel, Field
 from dotenv import load_dotenv
 
 load_dotenv()
@@ -11,6 +13,19 @@
 bb = Browserbase(api_key=os.environ.get("BROWSERBASE_API_KEY"))
 
 
+class GeoInfo(BaseModel):
+    """Schema for IP information and geolocation data"""
+    ip: str = Field(..., description="The IP address")
+    city: str = Field(..., description="The city name")
+    region: str = Field(..., description="The state or region")
+    country: str = Field(..., description="The country code")
+    loc: str = Field(..., description="The latitude and longitude coordinates")
+    timezone: str = Field(..., description="The timezone")
+    org: str = Field(..., description="The organization or ISP")
+    postal: str = Field(..., description="The postal code")
+    hostname: str = Field(..., description="The hostname if available")
+
+
 async def create_session_with_built_in_proxies():
     # Use Browserbase's default proxy rotation for enhanced privacy and IP diversity.
     session = await asyncio.to_thread(
@@ -75,10 +90,41 @@ async def test_session(session_function, session_name: str):
         if not page:
             raise Exception("No page found in default context")
 
-        # Navigate to IP info service to verify proxy location and IP address.
-        await page.goto("https://ipinfo.io/json", wait_until="domcontentloaded")
-        geo_info = await page.text_content('pre')  # Extract JSON response containing IP and location data.
-        print(f"Geo Info: {geo_info}")
+        # Initialize Stagehand for structured data extraction
+        stagehand_config = StagehandConfig(
+            env="BROWSERBASE",
+            api_key=os.environ.get("BROWSERBASE_API_KEY"),
+            project_id=os.environ.get("BROWSERBASE_PROJECT_ID"),
+            verbose=1,
+            # 0 = errors only, 1 = info, 2 = debug 
+            # (When handling sensitive data like passwords or API keys, set verbose: 0 to prevent secrets from appearing in logs.) 
+            # https://docs.stagehand.dev/configuration/logging
+            model_name="openai/gpt-4.1",
+            model_api_key=os.environ.get("OPENAI_API_KEY"),
+            browserbase_session_id=session.id,  # Use the existing Browserbase session
+        )
+        
+        stagehand = Stagehand(stagehand_config)
+
+        try:
+            # Initialize Stagehand 
+            await stagehand.init()
+
+            # Navigate to IP info service to verify proxy location and IP address.
+            await stagehand.page.goto("https://ipinfo.io/json", wait_until="domcontentloaded")
+            
+            # Extract structured IP and location data using Stagehand and Pydantic schema
+            geo_info = await stagehand.page.extract(
+                instruction="Extract all IP information and geolocation data from the JSON response",
+                schema=GeoInfo
+            )
+
+            print("Geo Info:", geo_info.model_dump_json(indent=2))
+
+            # Close Stagehand session
+            await stagehand.close()
+        except Exception as error:
+            print(f"Error during Stagehand extraction: {error}")
 
         # Close browser to release resources and end the test session.
         await browser.close()
diff --git a/typescript/context/README.md b/typescript/context/README.md
index 7c6fe3a8..9655a83c 100644
--- a/typescript/context/README.md
+++ b/typescript/context/README.md
@@ -14,16 +14,12 @@
   Docs → https://docs.stagehand.dev/basics/act
 
 ## QUICKSTART
- 1) pnpm init
- 2) pnpm add @browserbasehq/stagehand dotenv @types/node axios zod
-    pnpm add -D typescript && pnpm tsc --init
- 3) Create .env with:
-      BROWSERBASE_PROJECT_ID=...
-      BROWSERBASE_API_KEY=...
-      SF_REC_PARK_EMAIL=...
-      SF_REC_PARK_PASSWORD=...
- 4) Compile + run:
-      pnpm tsc && node context.js
+ 1) cd context-template
+ 2) npm install
+ 3) npm install axios
+ 4) cp .env.example .env
+ 5) Add your Browserbase API key, Project ID, and SF Rec Park credentials to .env
+ 6) npm start
 
 ## EXPECTED OUTPUT
 - Creates context, performs login, saves auth state
diff --git a/typescript/context/index.ts b/typescript/context/index.ts
index 3327e364..3cf41523 100644
--- a/typescript/context/index.ts
+++ b/typescript/context/index.ts
@@ -33,7 +33,8 @@ async function createSessionContextID() {
   console.log("Connecting Stagehand to session...");
   const stagehand = new Stagehand({
     env: "BROWSERBASE",
-    modelName: "gpt-4o",
+    modelName: "openai/gpt-4.1",
+    verbose: 1,
     browserbaseSessionID: session.id,
   });
 
@@ -95,7 +96,8 @@ async function main() {
   // persist: true ensures any new changes (cookies, cache) are saved back to context.
   const stagehand = new Stagehand({
     env: "BROWSERBASE",
-    modelName: "gpt-4o",
+    modelName: "openai/gpt-4.1",
+    verbose: 1,
     browserbaseSessionCreateParams: {
       projectId: process.env.BROWSERBASE_PROJECT_ID!,
       browserSettings: {
diff --git a/typescript/formFilling/README.md b/typescript/form-filling/README.md
similarity index 89%
rename from typescript/formFilling/README.md
rename to typescript/form-filling/README.md
index 225cab80..b7cb3f74 100644
--- a/typescript/formFilling/README.md
+++ b/typescript/form-filling/README.md
@@ -15,15 +15,11 @@
 - variable substitution: inject dynamic values into actions using `%variable%` syntax
 
 ## QUICKSTART
- 1) pnpm init
- 2) pnpm add @browserbasehq/stagehand dotenv @types/node zod
-    pnpm add -D typescript && pnpm tsc --init
- 3) Create .env with:
-      BROWSERBASE_PROJECT_ID=...
-      BROWSERBASE_API_KEY=...
-      OPENAI_API_KEY=...
- 4) Compile + run:
-      pnpm tsc && node formFilling.js
+ 1) cd form-fill-template
+ 2) npm install
+ 3) cp .env.example .env
+ 4) Add your Browserbase API key, Project ID, and OpenAI API key to .env
+ 5) npm start
 
 ## EXPECTED OUTPUT
 - Initializes Stagehand session with Browserbase
diff --git a/typescript/formFilling/index.ts b/typescript/form-filling/index.ts
similarity index 60%
rename from typescript/formFilling/index.ts
rename to typescript/form-filling/index.ts
index 6622f4b6..0acfbd06 100644
--- a/typescript/formFilling/index.ts
+++ b/typescript/form-filling/index.ts
@@ -18,7 +18,8 @@ async function main() {
 	// Initialize Stagehand with Browserbase for cloud-based browser automation.
 	const stagehand = new Stagehand({
 		env: "BROWSERBASE",
-		modelName: "gpt-4o",
+		modelName: "openai/gpt-4.1",
+		verbose: 1,
 		browserbaseSessionCreateParams: {
 			projectId: process.env.BROWSERBASE_PROJECT_ID!,
 		}
@@ -39,34 +40,42 @@ async function main() {
 			timeout: 60000 // Extended timeout for reliable page loading.
 		});
 
-		// Analyze form structure to identify fillable fields before attempting to fill.
-		console.log("Analyzing form fields...");
-		const contact_page = await page.observe({ 
-			instruction: "What are the fields that can be filled in?",
-			returnAction: true // Return action objects for potential reuse with act().
+		// Single observe call to plan all form filling
+		const formFields = await page.observe({
+			instruction: `Find form fields for: first name, last name, company, job title, email, message`,
+			returnAction: true
 		});
-		console.log("Available form fields:", contact_page);
 
-		// Fill form using a more reliable approach with individual field targeting.
-		console.log("Filling in contact form...");
+		// Execute all actions without LLM calls
+		for (const field of formFields) {
+			// Match field to data based on description
+			let value = '';
+			const desc = field.description.toLowerCase();
+			
+			if (desc.includes('first name')) value = firstName;
+			else if (desc.includes('last name')) value = lastName;
+			else if (desc.includes('company')) value = company;
+			else if (desc.includes('job title')) value = jobTitle;
+			else if (desc.includes('email')) value = email;
+			else if (desc.includes('message')) value = message;
+			
+			if (value) {
+				await page.act({
+					...field,
+					arguments: [value]
+				});
+			}
+		}
 		
-		// Fill each field individually for better reliability
-		await page.act(`Fill in the first name field with "${firstName}"`);
-		await page.act(`Fill in the last name field with "${lastName}"`);
-		await page.act(`Fill in the company field with "${company}"`);
-		await page.act(`Fill in the job title field with "${jobTitle}"`);
-		await page.act(`Fill in the email field with "${email}"`);
-		await page.act(`Fill in the message field with "${message}"`);
-        
-        // Language choice in Stagehand act() is crucial for reliable automation.
-        // Use "click" for dropdown interactions rather than "select"
-        await page.act("Click on the How Can we help? dropdown");
-        await page.waitForTimeout(500);
-        await page.act("Click on the first option from the dropdown");
-        // await page.act("Select the first option from the dropdown"); // Less reliable than "click"
+		// Language choice in Stagehand act() is crucial for reliable automation.
+		// Use "click" for dropdown interactions rather than "select"
+		await page.act("Click on the How Can we help? dropdown");
+		await page.waitForTimeout(500);
+		await page.act("Click on the first option from the dropdown");
+		// await page.act("Select the first option from the dropdown"); // Less reliable than "click"
 
-        // Uncomment the line below if you want to submit the form
-        // await page.act("Click the submit button");
+		// Uncomment the line below if you want to submit the form
+		// await page.act("Click the submit button");
 	
 		console.log("Form filled successfully! Waiting 3 seconds...");
 		await page.waitForTimeout(30000);
diff --git a/typescript/giftfinder/README.md b/typescript/gift-finder/README.md
similarity index 90%
rename from typescript/giftfinder/README.md
rename to typescript/gift-finder/README.md
index 4713aaf7..a5b349de 100644
--- a/typescript/giftfinder/README.md
+++ b/typescript/gift-finder/README.md
@@ -17,15 +17,12 @@
   Docs → https://docs.browserbase.com/features/proxies
 
 ## QUICKSTART
- 1) pnpm init
- 2) pnpm add @browserbasehq/stagehand dotenv @types/node inquirer openai zod
-    pnpm add -D typescript && pnpm tsc --init
- 3) Create .env with:
-      BROWSERBASE_PROJECT_ID=...
-      BROWSERBASE_API_KEY=...
-      OPENAI_API_KEY=...
- 4) Compile + run:
-      pnpm tsc && node giftFinder.js
+ 1) cd gift-finder-template
+ 2) npm install
+ 3) npm install inquirer openai
+ 4) cp .env.example .env
+ 5) Add your Browserbase API key, Project ID, and OpenAI API key to .env
+ 6) npm start
 
 ## EXPECTED OUTPUT
 - Prompts user for recipient and description
diff --git a/typescript/giftfinder/index.ts b/typescript/gift-finder/index.ts
similarity index 99%
rename from typescript/giftfinder/index.ts
rename to typescript/gift-finder/index.ts
index 3bdf026b..e318eff7 100644
--- a/typescript/giftfinder/index.ts
+++ b/typescript/gift-finder/index.ts
@@ -34,7 +34,7 @@ async function generateSearchQueries(recipient: string, description: string): Pr
   // Use AI to generate search terms based on recipient profile
   // This avoids generic searches and focuses on thoughtful, complementary gifts
   const response = await client.chat.completions.create({
-    model: "gpt-4o",
+    model: "gpt-4.1",
     messages: [
       {
         role: "user",
@@ -93,7 +93,7 @@ async function scoreProducts(
   console.log(`Scoring ${allProducts.length} products...`);
 
   const response = await client.chat.completions.create({
-    model: "gpt-4o",
+    model: "gpt-4.1",
     messages: [
       {
         role: "user",
@@ -232,11 +232,11 @@ async function main(): Promise<void> {
     // Each session searches independently to maximize speed
     const sessionStagehand = new Stagehand({
       env: "BROWSERBASE",
-      verbose: 0,
+      verbose: 1,
       // 0 = errors only, 1 = info, 2 = debug 
       // (When handling sensitive data like passwords or API keys, set verbose: 0 to prevent secrets from appearing in logs.) 
       // https://docs.stagehand.dev/configuration/logging
-      modelName: "gpt-4o",
+      modelName: "openai/gpt-4.1",
       browserbaseSessionCreateParams: {
         projectId: process.env.BROWSERBASE_PROJECT_ID!,
         // Proxies require Developer Plan or higher - comment in if you have a Developer Plan or higher
@@ -387,5 +387,4 @@ main().catch((err) => {
   console.error("Application error:", err);
   console.log("Check your environment variables and internet connection");
   process.exit(1);
-});
-
+});
\ No newline at end of file
diff --git a/typescript/realEstateCheck/README.md b/typescript/license-verification/README.md
similarity index 90%
rename from typescript/realEstateCheck/README.md
rename to typescript/license-verification/README.md
index 5557d533..8e553e1c 100644
--- a/typescript/realEstateCheck/README.md
+++ b/typescript/license-verification/README.md
@@ -17,14 +17,11 @@
 - structured scraping: extracting consistent, typed data that can flow into apps, CRMs, or compliance systems.
 
 ## QUICKSTART
- 1) pnpm init
- 2) pnpm add @browserbasehq/stagehand dotenv @types/node zod
-    pnpm add -D typescript && pnpm tsc --init
- 3) Create .env with:
-      BROWSERBASE_PROJECT_ID=...
-      BROWSERBASE_API_KEY=...
- 4) Compile + run:
-      pnpm tsc && node product.js
+ 1) cd license-verification-template
+ 2) npm install
+ 3) cp .env.example .env
+ 4) Add your Browserbase API key and Project ID to .env
+ 5) npm start
 
 ## EXPECTED OUTPUT
 - Navigates to California DRE license verification website
diff --git a/typescript/realEstateCheck/index.ts b/typescript/license-verification/index.ts
similarity index 96%
rename from typescript/realEstateCheck/index.ts
rename to typescript/license-verification/index.ts
index bcb73ceb..73b644ed 100644
--- a/typescript/realEstateCheck/index.ts
+++ b/typescript/license-verification/index.ts
@@ -1,4 +1,4 @@
-// Stagehand + Browserbase: Data Extraction with Structured Schemas - See README.md for full documentation
+// Real Estate License Verification - See README.md for full documentation
 
 import "dotenv/config";
 import { Stagehand } from "@browserbasehq/stagehand";
@@ -13,7 +13,8 @@ async function main() {
   // Initialize Stagehand with Browserbase for cloud-based browser automation.
   const stagehand = new Stagehand({
     env: "BROWSERBASE", // Use Browserbase cloud browsers for reliable automation.
-    verbose: 0,
+    verbose: 1,
+    modelName: "openai/gpt-4.1",
     // 0 = errors only, 1 = info, 2 = debug 
     // (When handling sensitive data like passwords or API keys, set verbose: 0 to prevent secrets from appearing in logs.) 
     // https://docs.stagehand.dev/configuration/logging
@@ -74,4 +75,3 @@ main().catch((err) => {
   console.error(err);
   process.exit(1);
 });
-
diff --git a/typescript/pickleball/README.md b/typescript/pickleball/README.md
index af8dea32..5cd72898 100644
--- a/typescript/pickleball/README.md
+++ b/typescript/pickleball/README.md
@@ -20,16 +20,12 @@
 
 ## QUICKSTART
 1) Create an account with SF Recreation & Parks website -> https://www.rec.us/organizations/san-francisco-rec-park
-2) pnpm init
-3) pnpm add @browserbasehq/stagehand dotenv @types/node inquirer zod
-   pnpm add -D typescript && pnpm tsc --init
-4) Create .env with:
-   BROWSERBASE_PROJECT_ID=...
-   BROWSERBASE_API_KEY=...
-   SF_REC_PARK_EMAIL=...
-   SF_REC_PARK_PASSWORD=...
-5) Compile + run:
-   pnpm tsc && node pickleball.js
+2) cd pickleball-template
+3) npm install
+4) npm install inquirer
+5) cp .env.example .env
+6) Add your Browserbase API key, Project ID, and SF Rec Park credentials to .env
+7) npm start
 
 ## EXPECTED OUTPUT
 - Prompts user for activity type (Tennis/Pickleball), date, and time
diff --git a/typescript/pickleball/index.ts b/typescript/pickleball/index.ts
index 3c350d92..5b6adc0d 100644
--- a/typescript/pickleball/index.ts
+++ b/typescript/pickleball/index.ts
@@ -1,10 +1,10 @@
 // SF Court Booking Automation - See README.md for full documentation
 import "dotenv/config";
-import { Stagehand } from "@browserbasehq/stagehand";
+import { Stagehand, StagehandPage } from "@browserbasehq/stagehand";
 import inquirer from 'inquirer';
 import { z } from 'zod';
 
-async function loginToSite(page: any, email: string, password: string): Promise<void> {
+async function loginToSite(page: StagehandPage, email: string, password: string): Promise<void> {
   console.log("Logging in...");
   // Perform login sequence: each step is atomic to handle dynamic page changes.
   await page.act("Click the Login button");
@@ -15,7 +15,7 @@ async function loginToSite(page: any, email: string, password: string): Promise<
   console.log("Logged in");
 }
 
-async function selectFilters(page: any, activity: string, timeOfDay: string, selectedDate: string): Promise<void> {
+async function selectFilters(page: StagehandPage, activity: string, timeOfDay: string, selectedDate: string): Promise<void> {
   console.log("Selecting the activity");
   // Filter by activity type first to narrow down available courts.
   await page.act(`Click the activites drop down menu`);
@@ -54,7 +54,7 @@ async function selectFilters(page: any, activity: string, timeOfDay: string, sel
   await page.act(`Click the Done button`);
 }
 
-async function checkAndExtractCourts(page: any, timeOfDay: string): Promise<void> {
+async function checkAndExtractCourts(page: StagehandPage, timeOfDay: string): Promise<void> {
   console.log("Checking for available courts...");
   
   // First observe the page to find all available court booking options.
@@ -171,7 +171,7 @@ async function checkAndExtractCourts(page: any, timeOfDay: string): Promise<void
   }
 }
 
-async function bookCourt(page: any): Promise<void> {
+async function bookCourt(page: StagehandPage): Promise<void> {
   console.log("Starting court booking process...");
   
   try {
@@ -352,11 +352,11 @@ async function bookTennisPaddleCourt() {
   console.log("Initializing Stagehand with Browserbase");
   const stagehand = new Stagehand({
     env: "BROWSERBASE",
-    verbose: 0,
+    verbose: 1,
     // 0 = errors only, 1 = info, 2 = debug 
     // (When handling sensitive data like passwords or API keys, set verbose: 0 to prevent secrets from appearing in logs.) 
     // https://docs.stagehand.dev/configuration/logging
-    modelName: "gpt-4o",
+    modelName: "openai/gpt-4.1",
     browserbaseSessionCreateParams: {
       projectId: process.env.BROWSERBASE_PROJECT_ID!,
       timeout: 900,
diff --git a/typescript/proxies/README.md b/typescript/proxies/README.md
index 457a86a7..945b76d3 100644
--- a/typescript/proxies/README.md
+++ b/typescript/proxies/README.md
@@ -8,14 +8,12 @@
   Docs → https://docs.browserbase.com/features/proxies
 
 ## QUICKSTART
- 1) pnpm init
- 2) pnpm add @browserbasehq/sdk playwright-core dotenv
-    pnpm add -D typescript tsx && pnpm tsc --init
- 3) Create .env with:
-      BROWSERBASE_PROJECT_ID=...
-      BROWSERBASE_API_KEY=...
- 4) Run the script:
-      pnpm run proxies
+ 1) cd proxies-template
+ 2) npm install
+ 3) npm install @browserbasehq/sdk playwright-core
+ 4) cp .env.example .env
+ 5) Add your Browserbase API key and Project ID to .env
+ 6) npm start
 
 ## EXPECTED OUTPUT
 - Tests built-in proxy rotation
diff --git a/typescript/proxies/index.ts b/typescript/proxies/index.ts
index c917349c..40d377c4 100644
--- a/typescript/proxies/index.ts
+++ b/typescript/proxies/index.ts
@@ -2,6 +2,8 @@
 
 import { chromium } from "playwright-core";
 import { Browserbase } from "@browserbasehq/sdk";
+import { Stagehand } from "@browserbasehq/stagehand";
+import { z } from "zod";
 import dotenv from "dotenv";
 
 dotenv.config();
@@ -13,10 +15,6 @@ async function createSessionWithBuiltInProxies() {
   const session = await bb.sessions.create({
     projectId: process.env.BROWSERBASE_PROJECT_ID!,
     proxies: true, // Enables automatic proxy rotation across different IP addresses.
-    verbose: 0,
-    // 0 = errors only, 1 = info, 2 = debug 
-    // (When handling sensitive data like passwords or API keys, set verbose: 0 to prevent secrets from appearing in logs.) 
-    // https://docs.stagehand.dev/configuration/logging
   });
   return session;
 }
@@ -25,10 +23,6 @@ async function createSessionWithGeoLocation() {
   // Route traffic through specific geographic location to test location-based restrictions.
   const session = await bb.sessions.create({
     projectId: process.env.BROWSERBASE_PROJECT_ID!,
-    verbose: 0,
-    // 0 = errors only, 1 = info, 2 = debug 
-    // (When handling sensitive data like passwords or API keys, set verbose: 0 to prevent secrets from appearing in logs.) 
-    // https://docs.stagehand.dev/configuration/logging
     proxies: [
       {
         "type": "browserbase", // Use Browserbase's managed proxy infrastructure.
@@ -47,10 +41,6 @@ async function createSessionWithCustomProxies() {
   // Use external proxy servers for custom routing or specific proxy requirements.
   const session = await bb.sessions.create({
     projectId: process.env.BROWSERBASE_PROJECT_ID!,
-    verbose: 0,
-    // 0 = errors only, 1 = info, 2 = debug 
-    // (When handling sensitive data like passwords or API keys, set verbose: 0 to prevent secrets from appearing in logs.) 
-    // https://docs.stagehand.dev/configuration/logging
     proxies: [
       {
         "type": "external", // Connect to your own proxy server infrastructure.
@@ -82,10 +72,47 @@ async function testSession(sessionFunction: () => Promise<any>, sessionName: str
     throw new Error("No page found in default context");
   }
 
-  // Navigate to IP info service to verify proxy location and IP address.
-  await page.goto("https://ipinfo.io/json", { waitUntil: "domcontentloaded" });
-  const geoInfo = await page.textContent('pre'); // Extract JSON response containing IP and location data.
-  console.log("Geo Info:", geoInfo);
+  // Initialize Stagehand for structured data extraction
+  const stagehand = new Stagehand({
+    env: "BROWSERBASE",
+    verbose: 1,
+    // 0 = errors only, 1 = info, 2 = debug 
+    // (When handling sensitive data like passwords or API keys, set verbose: 0 to prevent secrets from appearing in logs.) 
+    // https://docs.stagehand.dev/configuration/logging
+    modelName: "openai/gpt-4.1",
+    browserbaseSessionID: session.id, // Use the existing Browserbase session
+  });
+
+  try {
+    // Initialize Stagehand 
+    await stagehand.init();
+
+    // Navigate to IP info service to verify proxy location and IP address.
+    await stagehand.page.goto("https://ipinfo.io/json", { waitUntil: "domcontentloaded" });
+    
+    // Extract structured IP and location data using Stagehand and Zod schema
+    const geoInfo = await stagehand.page.extract({
+      instruction: "Extract all IP information and geolocation data from the JSON response",
+      schema: z.object({
+        ip: z.string().optional().describe("The IP address"),
+        city: z.string().optional().describe("The city name"),
+        region: z.string().optional().describe("The state or region"),
+        country: z.string().optional().describe("The country code"),
+        loc: z.string().optional().describe("The latitude and longitude coordinates"),
+        timezone: z.string().optional().describe("The timezone"),
+        org: z.string().optional().describe("The organization or ISP"), 
+        postal: z.string().optional().describe("The postal code"),
+        hostname: z.string().optional().describe("The hostname if available")
+      })
+    });
+
+    console.log("Geo Info:", JSON.stringify(geoInfo, null, 2));
+
+    // Close Stagehand session
+    await stagehand.close();
+  } catch (error) {
+    console.error("Error during Stagehand extraction:", error);
+  }
 
   // Close browser to release resources and end the test session.
   await browser.close();
@@ -104,5 +131,4 @@ async function main() {
   console.log("\n=== All tests completed ===");
 }
 
-main();
-
+main();
\ No newline at end of file