diff --git a/prompts/analysis.txt b/prompts/analysis.txt
index 64b694b..c46e3c0 100644
--- a/prompts/analysis.txt
+++ b/prompts/analysis.txt
@@ -40,10 +40,11 @@ Use the report_analysis tool to report your analysis of the TARGET MESSAGE only.
 
 CONVERSATION-LEVEL ANALYSIS (when given a CONVERSATION BLOCK instead of a single TARGET MESSAGE):
 When you receive a full conversation block with multiple users, use the report_conversation_scan tool instead:
-- The conversation block may contain a "--- NEW MESSAGES (score only these) ---" separator. Messages ABOVE the separator are CONTEXT ONLY (already scored in a prior cycle) — do NOT let them inflate scores. Messages BELOW the separator are the NEW messages to score.
+- The conversation block may contain a "--- NEW MESSAGES (score only these) ---" separator. Messages ABOVE the separator are marked [CONTEXT] and are CONTEXT ONLY (already scored in a prior cycle). Messages BELOW the separator are the NEW messages to score.
 - Provide ONE finding per user who has NEW messages (not per message).
 - Score based ONLY on the user's NEW messages. Use context messages to understand tone and relationships, but do NOT penalize a user for something they said in the context section.
-- If a user's only new message is benign (e.g. "I got the 17.."), score it low regardless of what they said in context.
+- CRITICAL: Your reasoning and score MUST only reference content from the user's NEW messages (below the separator). Do NOT cite, quote, or reference anything from [CONTEXT] messages in your reasoning — even if the same user said it. If a user's only new message is "I'll be here", your reasoning must be about "I'll be here" — not about profanity they used in earlier [CONTEXT] messages.
+- If a user's only new message is benign (e.g. "I got the 17..", "I'll be here"), score it 0.0-0.1 regardless of what they said in context.
 - Use the same scoring bands (0.0-1.0) as for single messages.
 - Quote the worst/most problematic snippet in worst_message (max 100 chars, exact quote).
 - Flag off_topic if user's messages are primarily personal drama, not gaming.
diff --git a/utils/llm_client.py b/utils/llm_client.py
index 8ad5357..f6b2b2a 100644
--- a/utils/llm_client.py
+++ b/utils/llm_client.py
@@ -399,6 +399,7 @@ class LLMClient:
 
         lines = [f"[Current time: {now.strftime('%I:%M %p')}]", ""]
         last_user = None
+        in_new_section = new_message_start is None or new_message_start == 0
 
         for idx, (username, content, ts, reply_to) in enumerate(messages):
             if new_message_start is not None and idx == new_message_start:
@@ -406,8 +407,10 @@ class LLMClient:
                 lines.append("--- NEW MESSAGES (score only these) ---")
                 lines.append("")
                 last_user = None  # reset collapse so first new msg gets full header
+                in_new_section = True
             delta = now - ts.replace(tzinfo=timezone.utc) if ts.tzinfo is None else now - ts
             rel = LLMClient._format_relative_time(delta)
+            tag = "" if in_new_section else " [CONTEXT]"
 
             if username == last_user:
                 # Continuation from same user — indent
@@ -416,9 +419,9 @@ class LLMClient:
             else:
                 # New user block
                 if reply_to:
-                    prefix = f"[{rel}] {username} → {reply_to}: "
+                    prefix = f"[{rel}] {username} → {reply_to}:{tag} "
                 else:
-                    prefix = f"[{rel}] {username}: "
+                    prefix = f"[{rel}] {username}:{tag} "
                 msg_lines = content.split("\n")
                 lines.append(prefix + msg_lines[0])
                 for line in msg_lines[1:]: