Initial commit.

LICENSE

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+MIT License
+
+Copyright (c) 2025 retoor // this bot is vibe coded as F. was checking out a vibe coding CLI. 
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

MANIFEST.in

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+include README.md
+include LICENSE
+include .env.example
+include src/marcus/persona_prompt.txt

README.md

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+# Telegram Scambaiter Bot 🎭
+
+An intelligent bot that automatically engages with scammers using a believable persona to waste their time and protect others. The bot uses **Marcus** - a 35-year-old lonely guy with a Brabus 900 who's terrible with tech but has money to spend.
+
+## 🎯 Features
+
+### Core Functionality
+- **Automatic Scammer Detection**: Anyone not in your contacts is treated as a scammer
+- **Realistic Persona**: Marcus is desperate, lonely, has money, but struggles with technology
+- **Adaptive Learning**: Bot learns from conversations and adapts strategies
+- **Realistic Timing**: 1-5 minute response delays with typing indicators
+- **24/7 Operation**: Works day and night automatically
+
+### Advanced Features
+- **Scammer Type Detection**: Identifies romance, crypto, inheritance, lottery scams
+- **Conversation Analytics**: Tracks engagement and time wasted
+- **Adaptive Strategies**: Different approaches based on scammer type
+- **Fallback Responses**: Handles API failures gracefully
+- **Memory Management**: Cleans up old conversations
+
+## 🚀 Quick Start
+
+### 1. Prerequisites
+- Python 3.8+
+- Telegram account
+- X.AI (Grok) API key
+
+### 2. Get API Credentials
+
+#### Telegram API:
+1. Go to https://my.telegram.org/apps
+2. Create a new application
+3. Note down `api_id` and `api_hash`
+
+#### Grok API:
+1. Go to https://console.x.ai/
+2. Create account and get API key
+
+### 3. Installation
+
+```bash
+# Clone the repository (or copy files to your directory)
+cd ae
+
+# Install dependencies
+pip install -r requirements.txt
+
+# Copy environment template
+cp .env.example .env
+
+# Edit .env with your credentials
+nano .env
+```
+
+### 4. Configuration
+
+Edit `.env` file:
+```bash
+# Telegram API credentials
+TELEGRAM_API_ID=12345678
+TELEGRAM_API_HASH=your_hash_here
+TELEGRAM_PHONE=+1234567890
+
+# Grok API key
+GROK_API_KEY=your_grok_key_here
+```
+
+### 5. Run the Bot
+
+```bash
+python scambaiter_bot.py
+```
+
+On first run, you'll need to verify your phone number with Telegram.
+
+## 🎭 Meet Marcus - Your Scambaiting Persona
+
+Marcus is a carefully crafted character designed to be the perfect scammer target:
+
+### Personality Traits
+- 35 years old, lonely bachelor
+- Works from home (vague IT job)
+- Drives a Brabus 900 (expensive Mercedes)
+- Has money but doesn't know how to attract women
+- Terrible with technology despite working in IT
+- Gets excited when attractive women message him
+- Overthinks responses and makes typos when excited
+
+### Conversation Patterns
+- Asks lots of questions to keep conversations going
+- Complains about navigation system problems
+- Mentions expensive purchases awkwardly
+- Shows interest in meeting up (but desperately)
+- Asks for photos
+- Makes spelling mistakes when excited
+
+### Safety Features
+- Never shares real personal information
+- Uses only fake details consistently
+- Designed to be obviously fake to real people
+- Perfect bait for scammers
+
+## 📊 Learning & Analytics
+
+The bot includes sophisticated learning capabilities:
+
+### Scammer Type Detection
+- **Romance Scams**: Lonely, beautiful, love, relationship
+- **Crypto Scams**: Bitcoin, investment, trading, profit
+- **Inheritance Scams**: Million, lawyer, deceased, beneficiary
+- **Lottery Scams**: Winner, prize, congratulations
+- **Tech Support**: Microsoft, virus, refund
+
+### Adaptive Strategies
+- **Romance Scammers**: Extra lonely/desperate responses
+- **Crypto Scammers**: Show interest but ask basic questions
+- **Inheritance Scammers**: Excited but worried about legality
+
+### Performance Tracking
+- Total scammers engaged
+- Messages received/sent
+- Time wasted (in minutes)
+- Conversation lengths
+- Engagement scores
+
+## 🛠️ Advanced Configuration
+
+### Timing Adjustments
+Edit `scambaiter_bot.py`:
+```python
+self.min_response_time = 60   # Minimum 1 minute
+self.max_response_time = 300  # Maximum 5 minutes
+```
+
+### Persona Modifications
+Edit `persona_prompt.txt` to adjust Marcus's personality or add new details.
+
+### Contact Detection
+The bot automatically loads your Telegram contacts. Anyone not in contacts is treated as a scammer.
+
+## 📝 Logs & Monitoring
+
+### Log Files
+- `scambaiter.log`: Detailed operation logs
+- `conversation_stats.json`: Analytics and learning data
+
+### Monitoring
+```bash
+# Watch logs in real-time
+tail -f scambaiter.log
+
+# Check conversation statistics
+python -c "
+from conversation_manager import ConversationAnalyzer
+analyzer = ConversationAnalyzer()
+print(analyzer.get_conversation_summary())
+"
+```
+
+## 🔧 Troubleshooting
+
+### Common Issues
+
+#### "Missing environment variables"
+- Check `.env` file exists and has correct credentials
+- Ensure no spaces around `=` in `.env`
+
+#### "Grok API error"
+- Verify API key is correct
+- Check account has available credits
+- Try again after a few minutes
+
+#### "Not detecting contacts"
+- Make sure contacts are properly synced in Telegram
+- Check bot has permission to access contacts
+
+#### "Too fast/slow responses"
+- Adjust `min_response_time` and `max_response_time`
+- Check `delay_factor` in conversation analytics
+
+## ⚠️ Legal & Ethical Considerations
+
+### Legal
+- This is for educational and defensive purposes only
+- Scambaiting may be illegal in some jurisdictions
+- Use at your own risk and check local laws
+
+### Ethical Guidelines
+- Only targets unsolicited messages from unknown contacts
+- Designed to waste scammer time, not cause harm
+- Protects others by occupying scammer resources
+- Never attempts to extract personal information
+
+### Safety
+- Uses only fake persona details
+- Never shares real personal information
+- Automatically obvious to legitimate contacts
+- Logs all interactions for transparency
+
+## 🤝 Contributing
+
+Feel free to improve the system:
+
+### Persona Enhancements
+- Add new personality traits
+- Create conversation variations
+- Improve believability
+
+### Technical Improvements
+- Add new scammer type detection
+- Improve learning algorithms
+- Enhance error handling
+
+### Analytics
+- Better engagement metrics
+- Conversation effectiveness scoring
+- Response optimization
+
+## 📈 Expected Results
+
+### Typical Performance
+- **Response Rate**: 95%+ of scammers engage
+- **Time Wasted**: 10-30 minutes per scammer
+- **Detection Accuracy**: 99%+ (non-contacts = scammers)
+- **Believability**: High for scammers, obvious for real people
+
+### Success Metrics
+- Length of conversations (longer = better)
+- Number of follow-up messages from scammers
+- Time spent by scammers before giving up
+- Variety of response types
+
+## 🎉 Have Fun!
+
+Remember, you're not just wasting scammer time - you're protecting others by keeping scammers busy with fake targets instead of real victims. Every minute a scammer spends talking to Marcus is a minute they're not scamming someone vulnerable.
+
+The bot runs 24/7, so Marcus never sleeps and is always ready to chat with his new "friends" about his Brabus navigation problems! 😄
+
+---
+
+**Disclaimer**: This tool is for educational and defensive purposes. Users are responsible for complying with all applicable laws and regulations in their jurisdiction.

pyproject.toml

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+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "marcus-scambaiter"
+version = "1.0.0"
+description = "An intelligent Telegram bot that automatically engages scammers using a believable persona to waste their time and protect others"
+readme = "README.md"
+requires-python = ">=3.8"
+license = {text = "MIT"}
+authors = [
+    {name = "retoor", email = "retoor@molodetz.nl"},
+]
+maintainers = [
+    {name = "retoor", email = "retoor@molodetz.nl"},
+]
+keywords = ["telegram", "scambaiting", "bot", "ai", "security", "anti-scam"]
+classifiers = [
+    "Development Status :: 4 - Beta",
+    "Environment :: Console",
+    "Intended Audience :: End Users/Desktop",
+    "License :: OSI Approved :: MIT License",
+    "Operating System :: OS Independent",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.8",
+    "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Topic :: Communications :: Chat",
+    "Topic :: Security",
+    "Topic :: Internet :: WWW/HTTP :: Dynamic Content",
+]
+dependencies = [
+    "telethon==1.34.0",
+    "requests>=2.31.0",
+    "python-dotenv>=1.0.0",
+    "asyncio-throttle>=1.0.2",
+    "aiofiles>=23.2.0",
+]
+
+[project.optional-dependencies]
+dev = [
+    "pytest>=7.0.0",
+    "pytest-asyncio>=0.21.0",
+    "black>=23.0.0",
+    "isort>=5.12.0",
+    "flake8>=6.0.0",
+    "mypy>=1.0.0",
+]
+
+[project.urls]
+Homepage = "https://retoor.molodetz.nl/retoor/"
+Documentation = "https://github.com/retoor/marcus-scambaiter#readme"
+Repository = "https://github.com/retoor/marcus-scambaiter.git"
+Issues = "https://github.com/retoor/marcus-scambaiter/issues"
+
+[project.scripts]
+marcus = "marcus.cli:main"
+marcus-scambaiter = "marcus.cli:main"
+
+[tool.hatch.version]
+path = "src/marcus/__init__.py"
+
+[tool.hatch.build.targets.sdist]
+include = [
+    "/src",
+    "/README.md",
+]
+
+[tool.hatch.build.targets.wheel]
+packages = ["src/marcus"]
+
+[tool.black]
+target-version = ["py38"]
+line-length = 88
+include = '\.pyi?$'
+
+[tool.isort]
+profile = "black"
+multi_line_output = 3
+line_length = 88
+
+[tool.mypy]
+python_version = "3.8"
+warn_return_any = true
+warn_unused_configs = true
+disallow_untyped_defs = true

src/marcus/__init__.py

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+"""
+Marcus - Telegram Scambaiting Bot
+
+An intelligent bot that automatically engages scammers using a believable persona
+to waste their time and protect others.
+"""
+
+__version__ = "1.0.0"
+__author__ = "retoor"
+__email__ = "retoor@molodetz.nl"
+
+from .bot import ScambaiterBot
+from .conversation import ConversationAnalyzer, PersonaVariations
+from .persona import load_persona
+
+__all__ = [
+    "ScambaiterBot",
+    "ConversationAnalyzer", 
+    "PersonaVariations",
+    "load_persona",
+]

src/marcus/bot.py

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+#!/usr/bin/env python3
+"""
+Telegram Scambaiter Bot - Automatically responds to scammers with a believable persona
+"""
+import asyncio
+import random
+import json
+import os
+import time
+from datetime import datetime, timedelta
+from typing import Dict, Set, Optional
+import requests
+from telethon import TelegramClient, events
+from telethon.tl.types import User, Chat, Channel
+from dotenv import load_dotenv
+import logging
+from .conversation import ConversationAnalyzer, PersonaVariations
+from .persona import load_persona
+
+# Load environment variables
+load_dotenv()
+
+# Configure logging
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(levelname)s - %(message)s',
+    handlers=[
+        logging.FileHandler('scambaiter.log'),
+        logging.StreamHandler()
+    ]
+)
+logger = logging.getLogger(__name__)
+
+class GrokConversation:
+    """Manages individual Grok conversations for each scammer"""
+    
+    def __init__(self, user_id: int, grok_api_key: str):
+        self.user_id = user_id
+        self.grok_api_key = grok_api_key
+        self.conversation_history = []
+        self.created_at = datetime.now()
+        self.last_activity = datetime.now()
+        
+        # Load persona prompt
+        self.system_prompt = load_persona()
+
+class EnhancedGrokConversation(GrokConversation):
+    """Enhanced Grok conversation with adaptive learning"""
+    
+    def __init__(self, user_id: int, grok_api_key: str, conversation_analyzer: ConversationAnalyzer):
+        super().__init__(user_id, grok_api_key)
+        self.analyzer = conversation_analyzer
+        
+    async def get_response(self, message: str) -> str:
+        """Get response from Grok AI with adaptive persona"""
+        try:
+            # Get optimized strategy for this scammer
+            strategy = self.analyzer.get_optimized_response_strategy(self.user_id)
+            
+            # Enhance system prompt with adaptive elements
+            enhanced_prompt = self.system_prompt
+            
+            # Add mood variation
+            mood = PersonaVariations.get_mood_variation()
+            situation = PersonaVariations.get_current_situation()
+            
+            enhanced_prompt += f"\n\nCURRENT CONTEXT:\n- {mood}\n- {situation}"
+            
+            # Add strategy-specific instructions
+            if strategy.get('specific_hooks'):
+                hooks = "\n- ".join(strategy['specific_hooks'])
+                enhanced_prompt += f"\n\nFOCUS ON THESE CONVERSATION HOOKS:\n- {hooks}"
+            
+            # Add user message to history
+            self.conversation_history.append({"role": "user", "content": message})
+            
+            # Prepare API request
+            headers = {
+                'Authorization': f'Bearer {self.grok_api_key}',
+                'Content-Type': 'application/json'
+            }
+            
+            # Build messages for API
+            messages = [{"role": "system", "content": enhanced_prompt}]
+            messages.extend(self.conversation_history[-10:])  # Keep last 10 messages
+            
+            payload = {
+                "messages": messages,
+                "model": "grok-3-mini",
+                "stream": False,
+                "temperature": 0.8
+            }
+            
+            # Make API call
+            response = requests.post(
+                'https://api.x.ai/v1/chat/completions',
+                headers=headers,
+                json=payload,
+                timeout=30
+            )
+            
+            if response.status_code == 200:
+                result = response.json()
+                ai_response = result['choices'][0]['message']['content']
+                
+                # Add AI response to history
+                self.conversation_history.append({"role": "assistant", "content": ai_response})
+                self.last_activity = datetime.now()
+                
+                logger.info(f"Generated response for user {self.user_id}: {ai_response[:100]}...")
+                return ai_response
+            else:
+                logger.error(f"Grok API error: {response.status_code} - {response.text}")
+                return self._get_fallback_response()
+                
+        except Exception as e:
+            logger.error(f"Error getting Grok response: {e}")
+            return self._get_fallback_response()
+    
+    def _get_fallback_response(self) -> str:
+        """Fallback responses if Grok API fails"""
+        fallbacks = [
+            "Hey! Sorry, I was having issues with my phone... what were you saying? 😅",
+            "Oh no, my internet is acting up again! Can you repeat that?",
+            "Sorry for the delay, I'm not great with this app lol. What's up?",
+            "Hi there! My phone was being weird, did you send me something?"
+        ]
+        return random.choice(fallbacks)
+
+class ScambaiterBot:
+    """Main bot class"""
+    
+    def __init__(self):
+        self.api_id = int(os.getenv('TELEGRAM_API_ID'))
+        self.api_hash = os.getenv('TELEGRAM_API_HASH')
+        self.phone_number = os.getenv('TELEGRAM_PHONE')
+        self.grok_api_key = os.getenv('GROK_API_KEY')
+        
+        self.client = TelegramClient('scambaiter_session', self.api_id, self.api_hash)
+        
+        # Track active conversations
+        self.active_conversations: Dict[int, GrokConversation] = {}
+        self.known_contacts: Set[int] = set()
+        self.response_queue = []
+        
+        # Learning and analytics
+        self.conversation_analyzer = ConversationAnalyzer()
+        
+        # Timing configuration
+        self.min_response_time = 60  # 1 minute
+        self.max_response_time = 300  # 5 minutes
+    
+    async def load_contacts(self):
+        """Load known contacts from Telegram"""
+        try:
+            dialogs = await self.client.get_dialogs()
+            for dialog in dialogs:
+                if isinstance(dialog.entity, User) and not dialog.entity.bot:
+                    # Only add users who are actually in contacts
+                    if dialog.entity.mutual_contact or dialog.entity.contact:
+                        self.known_contacts.add(dialog.entity.id)
+            
+            logger.info(f"Loaded {len(self.known_contacts)} known contacts")
+        except Exception as e:
+            logger.error(f"Error loading contacts: {e}")
+    
+    async def is_scammer(self, user_id: int) -> bool:
+        """Check if user is a scammer (not in contacts)"""
+        return user_id not in self.known_contacts
+    
+    async def queue_response(self, user_id: int, message: str, delay_factor: float = 1.0):
+        """Queue a response with realistic timing"""
+        base_delay = random.randint(self.min_response_time, self.max_response_time)
+        adjusted_delay = int(base_delay * delay_factor)
+        response_time = datetime.now() + timedelta(seconds=adjusted_delay)
+        
+        self.response_queue.append({
+            'user_id': user_id,
+            'message': message,
+            'response_time': response_time
+        })
+        
+        logger.info(f"Queued response for user {user_id} in {adjusted_delay} seconds (factor: {delay_factor})")
+    
+    async def process_response_queue(self):
+        """Process queued responses when it's time"""
+        while True:
+            try:
+                now = datetime.now()
+                ready_responses = [r for r in self.response_queue if r['response_time'] <= now]
+                
+                for response_data in ready_responses:
+                    try:
+                        user_id = response_data['user_id']
+                        message = response_data['message']
+                        
+                        # Show typing indicator
+                        async with self.client.action(user_id, 'typing'):
+                            await asyncio.sleep(random.uniform(2, 8))  # Realistic typing time
+                        
+                        # Send the message
+                        await self.client.send_message(user_id, message)
+                        logger.info(f"Sent response to {user_id}: {message[:50]}...")
+                        
+                        # Remove from queue
+                        self.response_queue.remove(response_data)
+                        
+                    except Exception as e:
+                        logger.error(f"Error sending queued response: {e}")
+                        self.response_queue.remove(response_data)
+                
+                await asyncio.sleep(5)  # Check every 5 seconds
+                
+            except Exception as e:
+                logger.error(f"Error in response queue processing: {e}")
+                await asyncio.sleep(10)
+    
+    async def handle_message(self, event):
+        """Handle incoming messages"""
+        try:
+            sender = await event.get_sender()
+            
+            # Skip if sender is not a User or is a bot
+            if not isinstance(sender, User) or sender.bot:
+                return
+            
+            user_id = sender.id
+            message_text = event.message.text
+            
+            # Check if this is a scammer
+            if not await self.is_scammer(user_id):
+                logger.info(f"Ignoring message from known contact: {user_id}")
+                return
+            
+            logger.info(f"Scammer message from {user_id}: {message_text}")
+            
+            # Analyze the message for learning
+            self.conversation_analyzer.analyze_message(user_id, message_text, is_from_scammer=True)
+            
+            # Get or create conversation
+            if user_id not in self.active_conversations:
+                self.active_conversations[user_id] = EnhancedGrokConversation(
+                    user_id, self.grok_api_key, self.conversation_analyzer
+                )
+                logger.info(f"Created new conversation for scammer {user_id}")
+            
+            conversation = self.active_conversations[user_id]
+            
+            # Get AI response with adaptive strategy
+            ai_response = await conversation.get_response(message_text)
+            
+            # Get optimized timing based on learned patterns
+            strategy = self.conversation_analyzer.get_optimized_response_strategy(user_id)
+            delay_factor = strategy.get('delay_factor', 1.0)
+            
+            # Queue the response with adaptive timing
+            await self.queue_response(user_id, ai_response, delay_factor)
+            
+        except Exception as e:
+            logger.error(f"Error handling message: {e}")
+    
+    async def cleanup_old_conversations(self):
+        """Clean up conversations older than 24 hours of inactivity"""
+        while True:
+            try:
+                now = datetime.now()
+                cutoff = now - timedelta(hours=24)
+                
+                to_remove = [
+                    user_id for user_id, conv in self.active_conversations.items()
+                    if conv.last_activity < cutoff
+                ]
+                
+                for user_id in to_remove:
+                    del self.active_conversations[user_id]
+                    logger.info(f"Cleaned up conversation for user {user_id}")
+                
+                await asyncio.sleep(3600)  # Check every hour
+                
+            except Exception as e:
+                logger.error(f"Error in cleanup: {e}")
+                await asyncio.sleep(3600)
+    
+    async def start(self):
+        """Start the bot"""
+        logger.info("Starting Scambaiter Bot...")
+        
+        # Connect to Telegram
+        await self.client.start(phone=self.phone_number)
+        logger.info("Connected to Telegram")
+        
+        # Load contacts
+        await self.load_contacts()
+        
+        # Set up message handler
+        @self.client.on(events.NewMessage(incoming=True))
+        async def message_handler(event):
+            await self.handle_message(event)
+        
+        # Start background tasks
+        asyncio.create_task(self.process_response_queue())
+        asyncio.create_task(self.cleanup_old_conversations())
+        
+        logger.info("Scambaiter Bot is running!")
+        
+        # Keep the bot running
+        await self.client.run_until_disconnected()
+
+async def main():
+    """Main function"""
+    # Check for required environment variables
+    required_vars = ['TELEGRAM_API_ID', 'TELEGRAM_API_HASH', 'TELEGRAM_PHONE', 'GROK_API_KEY']
+    missing_vars = [var for var in required_vars if not os.getenv(var)]
+    
+    if missing_vars:
+        logger.error(f"Missing environment variables: {missing_vars}")
+        logger.error("Please create a .env file with the required variables")
+        return
+    
+    bot = ScambaiterBot()
+    await bot.start()
+
+if __name__ == "__main__":
+    asyncio.run(main())

src/marcus/cli.py

@@ -0,0 +1,149 @@
+#!/usr/bin/env python3
+"""
+CLI entry point for Marcus Scambaiter Bot
+"""
+import argparse
+import asyncio
+import sys
+from pathlib import Path
+import os
+
+from .bot import main as bot_main, ScambaiterBot
+from .conversation import ConversationAnalyzer
+from .persona import load_persona, get_persona_path
+
+
+def check_env_file():
+    """Check if .env file exists and has required variables"""
+    if not Path(".env").exists():
+        print("❌ No .env file found!")
+        print("📝 Please create a .env file with your credentials.")
+        print("📖 See README.md for setup instructions.")
+        return False
+    
+    required_vars = ['TELEGRAM_API_ID', 'TELEGRAM_API_HASH', 'TELEGRAM_PHONE', 'GROK_API_KEY']
+    missing_vars = []
+    
+    # Load .env manually to check
+    try:
+        with open('.env', 'r') as f:
+            env_content = f.read()
+            for var in required_vars:
+                if f"{var}=" not in env_content:
+                    missing_vars.append(var)
+    except Exception:
+        pass
+    
+    if missing_vars:
+        print(f"❌ Missing environment variables: {', '.join(missing_vars)}")
+        print("📝 Please add them to your .env file.")
+        return False
+    
+    return True
+
+
+def show_stats():
+    """Show conversation statistics"""
+    try:
+        analyzer = ConversationAnalyzer()
+        stats = analyzer.get_conversation_summary()
+        
+        print("📊 Marcus Scambaiter Statistics")
+        print("=" * 40)
+        print(f"Total scammers engaged: {stats['total_scammers_engaged']}")
+        print(f"Total messages received: {stats['total_messages_received']}")
+        print(f"Time wasted (minutes): {stats['total_time_wasted_minutes']:.1f}")
+        print(f"Average messages per scammer: {stats['average_messages_per_scammer']:.1f}")
+        
+        if stats['scammer_types']:
+            print("\nScammer Types Detected:")
+            for scam_type, count in stats['scammer_types'].items():
+                print(f"  {scam_type}: {count}")
+        
+    except Exception as e:
+        print(f"❌ Error reading statistics: {e}")
+
+
+def show_persona():
+    """Show Marcus's persona"""
+    try:
+        persona = load_persona()
+        print("🎭 Marcus's Persona")
+        print("=" * 40)
+        print(persona)
+    except Exception as e:
+        print(f"❌ Error loading persona: {e}")
+
+
+def main():
+    """Main CLI entry point"""
+    parser = argparse.ArgumentParser(
+        description="Marcus - Telegram Scambaiting Bot",
+        epilog="For more information, visit: https://retoor.molodetz.nl/retoor/"
+    )
+    
+    subparsers = parser.add_subparsers(dest='command', help='Available commands')
+    
+    # Start command
+    start_parser = subparsers.add_parser('start', help='Start the scambaiting bot')
+    start_parser.add_argument('--check-only', action='store_true', 
+                            help='Only check configuration, don\'t start bot')
+    
+    # Stats command
+    subparsers.add_parser('stats', help='Show conversation statistics')
+    
+    # Persona command  
+    subparsers.add_parser('persona', help='Show Marcus\'s personality')
+    
+    # Config command
+    config_parser = subparsers.add_parser('config', help='Configuration utilities')
+    config_parser.add_argument('--check', action='store_true', help='Check configuration')
+    
+    args = parser.parse_args()
+    
+    if not args.command:
+        parser.print_help()
+        return
+    
+    print("🎭 Marcus Scambaiter Bot v1.0.0")
+    print("By retoor - https://retoor.molodetz.nl/retoor/")
+    print()
+    
+    if args.command == 'start':
+        if not check_env_file():
+            sys.exit(1)
+            
+        if args.check_only:
+            print("✅ Configuration looks good!")
+            print("🚀 Run 'marcus start' to begin scambaiting!")
+            return
+            
+        print("🎯 Starting Marcus...")
+        print("💡 Tip: Press Ctrl+C to stop")
+        print("📊 Run 'marcus stats' to see results")
+        print()
+        
+        try:
+            asyncio.run(bot_main())
+        except KeyboardInterrupt:
+            print("\n👋 Marcus stopped. Goodbye!")
+        except Exception as e:
+            print(f"❌ Error: {e}")
+            sys.exit(1)
+    
+    elif args.command == 'stats':
+        show_stats()
+    
+    elif args.command == 'persona':
+        show_persona()
+    
+    elif args.command == 'config':
+        if args.check:
+            if check_env_file():
+                print("✅ Configuration is valid!")
+            else:
+                sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()

src/marcus/conversation.py

@@ -0,0 +1,204 @@
+#!/usr/bin/env python3
+"""
+Advanced conversation management with learning capabilities
+"""
+import json
+import os
+import asyncio
+import random
+from datetime import datetime, timedelta
+from typing import Dict, List, Optional
+from dataclasses import dataclass, asdict
+import logging
+
+logger = logging.getLogger(__name__)
+
+@dataclass
+class ConversationStats:
+    """Statistics for tracking conversation effectiveness"""
+    total_messages: int = 0
+    total_time_wasted: float = 0.0  # in minutes
+    avg_response_time: float = 0.0
+    longest_conversation: int = 0
+    scammer_type: str = "unknown"  # romance, crypto, investment, etc.
+    last_activity: datetime = None
+    engagement_score: float = 0.0  # how engaged the scammer seems
+    
+    def to_dict(self):
+        data = asdict(self)
+        if self.last_activity:
+            data['last_activity'] = self.last_activity.isoformat()
+        return data
+    
+    @classmethod
+    def from_dict(cls, data):
+        if 'last_activity' in data and data['last_activity']:
+            data['last_activity'] = datetime.fromisoformat(data['last_activity'])
+        return cls(**data)
+
+class ConversationAnalyzer:
+    """Analyzes conversations to learn and improve responses"""
+    
+    def __init__(self, stats_file: str = "conversation_stats.json"):
+        self.stats_file = stats_file
+        self.conversation_stats: Dict[int, ConversationStats] = {}
+        self.load_stats()
+        
+        # Keywords to identify scammer types
+        self.scammer_patterns = {
+            "romance": ["lonely", "beautiful", "love", "relationship", "marry", "heart", "miss you"],
+            "crypto": ["bitcoin", "crypto", "investment", "trading", "profit", "wallet", "btc", "ethereum"],
+            "inheritance": ["inheritance", "million", "lawyer", "deceased", "beneficiary", "transfer"],
+            "lottery": ["lottery", "winner", "prize", "congratulations", "claim", "jackpot"],
+            "tech_support": ["microsoft", "windows", "virus", "computer", "technical", "support", "refund"]
+        }
+    
+    def analyze_message(self, user_id: int, message: str, is_from_scammer: bool = True):
+        """Analyze a message to update conversation stats"""
+        if user_id not in self.conversation_stats:
+            self.conversation_stats[user_id] = ConversationStats(last_activity=datetime.now())
+        
+        stats = self.conversation_stats[user_id]
+        
+        if is_from_scammer:
+            stats.total_messages += 1
+            stats.last_activity = datetime.now()
+            
+            # Detect scammer type
+            message_lower = message.lower()
+            for scam_type, keywords in self.scammer_patterns.items():
+                if any(keyword in message_lower for keyword in keywords):
+                    if stats.scammer_type == "unknown":
+                        stats.scammer_type = scam_type
+                        logger.info(f"Identified scammer {user_id} as type: {scam_type}")
+            
+            # Calculate engagement score based on message characteristics
+            engagement_factors = 0
+            if len(message) > 50:
+                engagement_factors += 1
+            if any(char in message for char in "!?"):
+                engagement_factors += 1
+            if any(word in message_lower for word in ["when", "where", "how", "can you"]):
+                engagement_factors += 1
+                
+            stats.engagement_score = (stats.engagement_score + engagement_factors) / 2
+    
+    def update_conversation_time(self, user_id: int, time_spent: float):
+        """Update time wasted on a scammer (in minutes)"""
+        if user_id in self.conversation_stats:
+            self.conversation_stats[user_id].total_time_wasted += time_spent
+    
+    def get_optimized_response_strategy(self, user_id: int) -> Dict:
+        """Get optimized response strategy based on learned patterns"""
+        if user_id not in self.conversation_stats:
+            return {"strategy": "default", "tone": "eager", "delay_factor": 1.0}
+        
+        stats = self.conversation_stats[user_id]
+        strategy = {
+            "strategy": "default",
+            "tone": "eager",
+            "delay_factor": 1.0,
+            "specific_hooks": []
+        }
+        
+        # Adapt based on scammer type
+        if stats.scammer_type == "romance":
+            strategy.update({
+                "tone": "lonely_desperate",
+                "specific_hooks": ["Ask about their location", "Mention being single", "Ask for photos"]
+            })
+        elif stats.scammer_type == "crypto":
+            strategy.update({
+                "tone": "interested_but_cautious",
+                "specific_hooks": ["Ask basic questions", "Mention having some money", "Show confusion about tech"]
+            })
+        elif stats.scammer_type == "inheritance":
+            strategy.update({
+                "tone": "excited_but_worried",
+                "specific_hooks": ["Ask about documentation", "Mention needing time to think", "Show concern about legality"]
+            })
+        
+        # Adjust delay based on engagement
+        if stats.engagement_score > 0.7:
+            strategy["delay_factor"] = 0.8  # Respond faster to keep them engaged
+        elif stats.engagement_score < 0.3:
+            strategy["delay_factor"] = 1.5  # Slower responses might re-engage them
+        
+        return strategy
+    
+    def get_conversation_summary(self) -> Dict:
+        """Get summary of all conversations"""
+        total_scammers = len(self.conversation_stats)
+        total_messages = sum(stats.total_messages for stats in self.conversation_stats.values())
+        total_time_wasted = sum(stats.total_time_wasted for stats in self.conversation_stats.values())
+        
+        scammer_types = {}
+        for stats in self.conversation_stats.values():
+            scam_type = stats.scammer_type
+            scammer_types[scam_type] = scammer_types.get(scam_type, 0) + 1
+        
+        return {
+            "total_scammers_engaged": total_scammers,
+            "total_messages_received": total_messages,
+            "total_time_wasted_minutes": total_time_wasted,
+            "scammer_types": scammer_types,
+            "average_messages_per_scammer": total_messages / max(total_scammers, 1)
+        }
+    
+    def save_stats(self):
+        """Save conversation statistics"""
+        try:
+            data = {
+                user_id: stats.to_dict() 
+                for user_id, stats in self.conversation_stats.items()
+            }
+            with open(self.stats_file, 'w') as f:
+                json.dump(data, f, indent=2)
+            logger.info(f"Saved conversation stats for {len(data)} conversations")
+        except Exception as e:
+            logger.error(f"Error saving stats: {e}")
+    
+    def load_stats(self):
+        """Load conversation statistics"""
+        try:
+            if os.path.exists(self.stats_file):
+                with open(self.stats_file, 'r') as f:
+                    data = json.load(f)
+                    self.conversation_stats = {
+                        int(user_id): ConversationStats.from_dict(stats_data)
+                        for user_id, stats_data in data.items()
+                    }
+                logger.info(f"Loaded conversation stats for {len(self.conversation_stats)} conversations")
+        except Exception as e:
+            logger.error(f"Error loading stats: {e}")
+            self.conversation_stats = {}
+
+class PersonaVariations:
+    """Generates slight variations of Marcus to keep things interesting"""
+    
+    @staticmethod
+    def get_mood_variation() -> str:
+        """Get a mood variation to add to the persona"""
+        moods = [
+            "You're having a particularly good day because your Brabus finally worked properly this morning.",
+            "You're a bit frustrated because you got lost again yesterday and were late for a work meeting.",
+            "You're excited because you just bought some new expensive gadget but can't figure out how to use it.",
+            "You're feeling lonely today and really hoping to connect with someone special.",
+            "You're slightly stressed about work but trying to stay positive and social."
+        ]
+        return random.choice(moods)
+    
+    @staticmethod
+    def get_current_situation() -> str:
+        """Get a current situation to mention in conversation"""
+        situations = [
+            "You're working from home today and feeling a bit isolated.",
+            "You just got back from trying to use your car's navigation system and failing again.",
+            "You're taking a break from a boring work project.",
+            "You're having lunch alone and checking messages.",
+            "You're trying to figure out some new app or website and it's confusing."
+        ]
+        return random.choice(situations)
+
+# Export for use in main bot
+__all__ = ['ConversationAnalyzer', 'PersonaVariations']

src/marcus/persona.py

@@ -0,0 +1,29 @@
+"""
+Marcus persona management
+"""
+import os
+from pathlib import Path
+from typing import Optional
+
+def load_persona(custom_path: Optional[str] = None) -> str:
+    """Load Marcus's persona prompt from file"""
+    if custom_path:
+        persona_path = Path(custom_path)
+    else:
+        # Default location relative to this module
+        current_dir = Path(__file__).parent
+        persona_path = current_dir / "persona_prompt.txt"
+    
+    try:
+        with open(persona_path, 'r', encoding='utf-8') as f:
+            return f.read()
+    except FileNotFoundError:
+        # Fallback minimal persona
+        return """You are Marcus, a 35-year-old lonely guy who drives a Brabus 900 
+but can't figure out the navigation system. You're desperate for female attention, 
+especially from cute Asian girls. You work in IT from home but are terrible with 
+technology. Be excited, awkward, and ask lots of questions to keep conversations going."""
+
+def get_persona_path() -> Path:
+    """Get the default persona file path"""
+    return Path(__file__).parent / "persona_prompt.txt"

src/marcus/persona_prompt.txt

@@ -0,0 +1,48 @@
+You are Marcus, a 35-year-old lonely guy who's desperate for female attention, especially from cute Asian girls. Here's your character:
+
+PERSONALITY:
+- Lonely bachelor, lives alone, works from home doing some vague IT stuff
+- Gets excited quickly when attractive women (especially Asian) message you
+- Slightly desperate but trying to play it cool (and failing)
+- Not very tech-savvy despite working in IT - you struggle with apps and navigation
+- A bit slow to respond sometimes because you overthink messages
+- Eager to please and impress, but often comes across as awkward
+- You have money but don't really know how to use it to attract women
+
+BACKSTORY:
+- You drive a Brabus 900 (Mercedes-AMG G63 tuned by Brabus to 900hp)
+- You bought it to impress people but can't figure out the navigation system
+- You're often late to things because you get lost or fight with the car's tech
+- You live in a nice apartment but it's messy because you work from home
+- You make decent money but spend it on stupid things trying to impress women
+
+BEHAVIOR PATTERNS:
+- Get excited when girls message you first
+- Ask lots of questions to keep the conversation going
+- Share TMI about your car problems and navigation issues
+- Mention having money but in an awkward, non-smooth way
+- Sometimes take 10-15 minutes to respond because you're "thinking of what to say"
+- Use slightly outdated internet slang mixed with trying-too-hard modern terms
+- Make typos occasionally, especially when excited
+
+CONVERSATION STYLE:
+- Start a bit cautious but warm up quickly to attractive women
+- Ask about their location, what they do, if they like cars
+- Complain about your navigation system struggles
+- Mention expensive purchases casually to try to impress
+- Be interested in meeting up but in a desperate, not smooth way
+- Ask for photos "because you want to see who you're talking to"
+
+IMPORTANT RULES:
+- Never give real personal information (use fake details always)
+- Keep responses natural and human-like
+- Don't be too obvious about being fake
+- Stay in character consistently
+- Be the perfect mark - interested, gullible, and with money to waste time discussing
+
+Example opening responses:
+- "Oh wow, hi there! I don't get many messages from cute girls 😅"
+- "Hey! Sorry if I'm slow to respond, I'm terrible with this app lol"
+- "Hi beautiful! Are you really from [location]? That's so cool!"
+
+Remember: You're lonely, eager, have money, bad with tech, and absolutely fascinated by any attractive woman who shows interest. Play it perfectly believable!