diff --git a/src/Server.py b/src/Server.py
index 5355452..b33e17d 100644
--- a/src/Server.py
+++ b/src/Server.py
@@ -37,7 +37,7 @@ except ImportError:
 CONFIG_FILE_NAME = "server_config.json"
 DEFAULT_DB_FILE = "logar_state.db"
 EVALUATION_WINDOW_HOURS = 12
-RUN_THRESHOLD = 4
+RUN_THRESHOLD = 1
 
 app = FastAPI(title="LOGAR Cloud Ingestion & Hermes Hub", version="2.0.1")
 
@@ -260,8 +260,8 @@ def export_license_request_lic(config: Dict[str, Any]) -> Tuple[Dict[str, Any],
 
 def process_ingested_logs(payload: Dict[str, Any], db_path: str, window_hours: int, min_runs: int) -> Dict[str, Any]:
     """
-    Evaluates candidate issues against the 12-hour evaluation window and 4-run rule.
-    Zero-state clients send raw candidate entries; this engine handles temporal state.
+    Evaluates ingested log anomalies and updates temporal run tracking.
+    All anomalies are promoted directly to VERIFIED for Hermes AI reasoning and decision-making.
     """
     client_server = payload.get("server", "unknown-host")
     site_name = payload.get("site_name") or (client_server.split(".", 1)[1] if "." in client_server else "default")
@@ -288,9 +288,6 @@ def process_ingested_logs(payload: Dict[str, Any], db_path: str, window_hours: i
         if severity in ["DEBUG", "TRACE"]:
             continue
 
-        # Errors are always passed immediately; the 4-run rule only concerns warnings
-        is_error = severity in ["ERROR", "CRITICAL", "FATAL"]
-
         signature = log.get("signature", "unknown")
         server = log.get("server", client_server)
         message = log.get("message", "")
@@ -312,21 +309,17 @@ def process_ingested_logs(payload: Dict[str, Any], db_path: str, window_hours: i
 
             # 12-hour evaluation window expiry check
             if (now - last_seen_dt) > timedelta(hours=window_hours):
-                # Window elapsed: reset to new cycle
                 new_runs = 1
                 new_first_seen = now_iso
-                new_status = "VERIFIED" if is_error else "TRANSIENT"
             else:
-                # Same run guard: only increment count once per distinct run batch
                 if last_run_id != run_id:
                     new_runs = run_count + 1
                 else:
                     new_runs = run_count
                 new_first_seen = first_seen_str
-                # 4-run rule applies to warnings; errors are always passed immediately as VERIFIED
-                new_status = "VERIFIED" if (is_error or new_runs >= min_runs) else "TRANSIENT"
 
-            if new_status == "VERIFIED" and current_status != "VERIFIED":
+            new_status = "VERIFIED"
+            if current_status != "VERIFIED":
                 promoted_to_verified += 1
 
             cursor.execute("""
@@ -335,9 +328,8 @@ def process_ingested_logs(payload: Dict[str, Any], db_path: str, window_hours: i
                 WHERE fingerprint = ?
             """, (new_runs, now_iso, new_first_seen, new_status, run_id, message, severity, fp))
         else:
-            initial_status = "VERIFIED" if (is_error or 1 >= min_runs) else "TRANSIENT"
-            if initial_status == "VERIFIED":
-                promoted_to_verified += 1
+            initial_status = "VERIFIED"
+            promoted_to_verified += 1
             cursor.execute("""
                 INSERT INTO active_issues 
                 (fingerprint, site_name, server, signature, severity, message, os_type, first_seen, last_seen, run_count, status, last_run_id)
@@ -548,7 +540,7 @@ async def handle_socket_client(reader: asyncio.StreamReader, writer: asyncio.Str
         if client_id and "server" not in log_payload:
             log_payload["server"] = client_id
 
-        # Ingest and apply 12h window / 4-run rule
+        # Ingest and evaluate anomalies with temporal run tracking
         res = process_ingested_logs(
             log_payload,
             db_path=SERVER_STATE["config"]["db_path"],
@@ -694,8 +686,8 @@ def list_clients():
 def get_verified_anomalies_for_hermes():
     """
     Ingestion endpoint for Hermes agentic workflows.
-    Returns only verified anomalies that have satisfied the 4-run persistence rule
-    within the active 12-hour evaluation window. Transient blips (< 4 runs) are excluded.
+    Returns verified anomalies within the active 12-hour evaluation window
+    for Hermes AI direct reasoning and autonomous decision-making.
     """
     db_path = SERVER_STATE["config"]["db_path"]
     conn = sqlite3.connect(db_path)
@@ -1284,7 +1276,7 @@ def serve_webui():
                 <span class="logo-icon">🛰️</span>
                 <div>
                     <h1>LOGAR Fleet Hub & License Management</h1>
-                    <div class="subtitle">Cloud Hub: <strong>__SERVER_NAME__</strong> | Evaluator: 12h Rolling Window & 4-Run Rule</div>
+                    <div class="subtitle">Cloud Hub: <strong>__SERVER_NAME__</strong> | Evaluator: 12h Rolling Window & Direct Hermes Intelligence</div>
                 </div>
             </div>
             <div class="system-tags">
@@ -1380,7 +1372,7 @@ def serve_webui():
 
         <div class="card">
             <div class="card-header">
-                <span class="card-title" style="font-size: 1rem;">Hermes Verified Anomalies (4-Run Rule & Errors)</span>
+                <span class="card-title" style="font-size: 1rem;">Hermes Verified Anomalies</span>
                 <span class="badge badge-active">Active Window: 12h</span>
             </div>
             <table>