diff --git a/job_scraper2.py b/job_scraper2.py
index d1c7a6f..600f2cb 100644
--- a/job_scraper2.py
+++ b/job_scraper2.py
@@ -202,7 +202,7 @@ class LinkedInJobScraper:
                 await asyncio.sleep(random.uniform(4.0, 6.0) * self.human_speed)
                 # Wait for URL to change or new content
                 try:
-                    await page.wait_for_function("() => window.location.href.includes('start=')", timeout=30000)
+                    await page.wait_for_function("() => window.location.href.includes('start=')", timeout=60000)
                 except:
                     pass
                 current_page += 1
@@ -360,7 +360,7 @@ class LinkedInJobScraper:
                 else:
                     # If no pagination and no new jobs from scroll, check by refreshing
                     print("🔄 Refreshing page to check for new results...")
-                    await page.reload(wait_until='networkidle')
+                    await page.reload(wait_until='load')
                     await asyncio.sleep(random.uniform(3.0, 5.0) * self.human_speed)
                     
                     # Check for new jobs after refresh
@@ -439,7 +439,7 @@ class LinkedInJobScraper:
                         try:
                             external_page = await asyncio.wait_for(page_waiter, timeout=5.0)
                             print("  🌐 External job site opened in new tab.")
-                            await external_page.wait_for_load_state("load", timeout=30000)
+                            await external_page.wait_for_load_state("load", timeout=60000)
                             await asyncio.sleep(2 * self.human_speed)
                             await self.engine._human_like_scroll(external_page)
                             await asyncio.sleep(2 * self.human_speed)
diff --git a/llm_agent.py b/llm_agent.py
index e409762..f91ef39 100644
--- a/llm_agent.py
+++ b/llm_agent.py
@@ -9,7 +9,7 @@ from config import GEMINI_API_KEY
 class LLMJobRefiner:
     def __init__(self):
         genai.configure(api_key=GEMINI_API_KEY)
-        self.model = genai.GenerativeModel('gemini-pro')
+        self.model = genai.GenerativeModel('gemini-latest-flash')
     
     async def refine_job_data(self, raw_data: Dict[str, Any], target_field: str) -> Dict[str, Any]:
         """
@@ -29,7 +29,7 @@ class LLMJobRefiner:
 
         Target Field: {target_field}
         Raw Page Content:
-        {raw_data.get('page_content', '')[:3000]}  # Limit content size
+        {raw_data.get('page_content', '')[:6000]}  # Limit content size
 
         Instructions:
         1. Extract only the information relevant to the target field: {target_field}