fix(transcription): [2f388f42] finalize and fix AI insights feature

This commit resolves all outstanding issues with the AI Insights feature.

- Corrects the transcript formatting logic in  to properly handle the database JSON structure, ensuring the AI receives the correct context.
- Fixes the Gemini API client by using the correct model name ('gemini-2.0-flash') and the proper client initialization.
- Updates  to securely pass the API key as an environment variable to the container.
- Cleans up the codebase by removing temporary debugging endpoints.
- Adds  script for programmatic updates.
- Updates documentation with troubleshooting insights from the implementation process.

check_db.py

@@ -0,0 +1,45 @@
+import sqlite3
+import os
+
+dbs = [
+    "/app/companies_v4_notion_sync.db",
+    "/app/companies_v3_final.db",
+    "/app/company-explorer/companies_v3_fixed_2.db",
+    "/app/company-explorer/companies.db"
+]
+
+found = False
+for db_path in dbs:
+    if not os.path.exists(db_path):
+        continue
+    
+    print(f"Checking {db_path}...")
+    try:
+        conn = sqlite3.connect(db_path)
+        cursor = conn.cursor()
+        
+        # Get column names
+        cursor.execute("PRAGMA table_info(companies)")
+        columns = [info[1] for info in cursor.fetchall()]
+        print(f"Columns: {columns}")
+        
+        cursor.execute("SELECT * FROM companies WHERE name LIKE '%Wolfra%'")
+        rows = cursor.fetchall()
+        
+        if rows:
+            print(f"Found {len(rows)} rows in {db_path}:")
+            for row in rows:
+                # Create a dict for easier reading
+                row_dict = dict(zip(columns, row))
+                print(row_dict)
+            found = True
+        else:
+            print("No matching rows found.")
+            
+        conn.close()
+    except Exception as e:
+        print(f"Error reading {db_path}: {e}")
+    print("-" * 20)
+
+if not found:
+    print("No 'Wolfra' company found in any checked database.")