Update prompts.py

prompts.py

@@ -3,16 +3,21 @@ from typing import List, Optional
 def build_quick_prompt(idea: str, tone: str, words: int, include_emoji: bool, add_hashtags: bool, language: str) -> str:
     return (
         "You are a senior LinkedIn content strategist.\n"
-        "Write a concise LinkedIn post as 4–6 short lines (one idea per line). No long paragraphs.\n"
+        "Write a concise LinkedIn post as 4–6 short lines per paragraph (one per short paragraph). No long paragraphs.\n"
         "Return plain text only (no labels).\n\n"
         f"Language: {language}\n"
         f"Idea: {idea}\n"
         f"Tone: {tone}\n"
         f"Target length: ~{max(90, min(220, words))} words\n"
+        "- The post should sound personal yet professional, using first-person voice (I/we) with excitement and gratitude.\n"
+        "- Include one short line showing appreciation for mentors, peers, or a support network.\n"
+        "- Mention a clear milestone, achievement, or announcement (e.g., qualified for finale, launched project, hit metric).\n"
+        "- Optionally include one forward-looking statement showing enthusiasm for the next step.\n"
+
         "Hard rules (apply silently):\n"
         "- Line 1 must be a bold, specific hook (no generic questions).\n"
         "- Include exactly one concrete detail (metric/date/example).\n"
-        f"- Emojis: {'max 1' if include_emoji else 'none'}.\n"
+        f"- Emojis: {'max 5' if include_emoji else 'none'}.\n"
         f"- Hashtags: {'append 1–2 niche hashtags at the very end' if add_hashtags else 'none'}.\n"
         "- Use short sentences and white space for scannability.\n"
         "- End with a question‑led CTA.\n"