Operational Playbooks

Daily Operations

Morning Check-in (9:00 AM)

1. Review Queue

   • Check pending comments/posts
   • Approve or edit content
   • Regenerate low-quality suggestions

2. Monitor Analytics

   • Review previous day's performance
   • Check engagement metrics
   • Identify top-performing content

3. Adjust Strategy

   • Update target subreddits if needed
   • Modify posting frequency based on performance
   • Update templates based on feedback

Midday Monitoring (1:00 PM)

1. Check Agent Status

   • Verify all agents are running
   • Check for any errors or warnings
   • Review ban detection alerts

2. Content Review

   • Approve high-priority content
   • Update library with successful templates
   • Reject inappropriate content

3. Security Check

   • Verify proxy rotation is working
   • Check fingerprint spoofing status
   • Review session health

Evening Wrap-up (6:00 PM)

1. Performance Analysis

   • Review daily metrics
   • Export analytics reports
   • Update content library

2. System Maintenance

   • Check for system updates
   • Clean up old logs
   • Backup configuration

3. Planning Tomorrow

   • Adjust strategy based on today's results
   • Update content templates
   • Plan for upcoming events/topics

Weekly Operations

Monday: Strategy Review

1. Weekly Performance Analysis

   • Compare this week to last week
   • Identify trends and patterns
   • Adjust agent configurations

2. Content Library Update

   • Add successful templates
   • Remove underperforming content
   • Organize by topic/category

3. Goal Setting

   • Set weekly objectives
   • Adjust posting targets
   • Plan content themes

Wednesday: Midweek Checkpoint

1. Progress Assessment

   • Evaluate goal progress
   • Identify obstacles
   • Adjust tactics as needed

2. Agent Optimization

   • Fine-tune behavior settings
   • Update subreddit lists
   • Test new content approaches

3. Community Engagement

   • Review feedback
   • Identify new opportunities
   • Plan engagement initiatives

Friday: Weekly Wrap-up

1. Performance Reporting

   • Generate weekly reports
   • Export data for stakeholders
   • Document key learnings

2. System Maintenance

   • Update software components
   • Clean up temporary files
   • Review security settings

3. Next Week Planning

   • Set upcoming goals
   • Prepare content calendar
   • Schedule maintenance windows

Monthly Operations

Month-End Review

1. Comprehensive Performance Analysis

   • Compare to previous months
   • Identify seasonal trends
   • Evaluate ROI

2. Agent Portfolio Management

   • Review all active agents
   • Retire underperforming agents
   • Plan new agent deployments

3. Technology Updates

   • Update all software components
   • Test new LLM models
   • Implement infrastructure improvements

Troubleshooting Playbooks

Agent Not Posting

1. Check Agent Status

   # Verify agent is enabled
   docker-compose logs mcp-backend
   
   # Check configuration
   cat mcp_core/config.yaml
   

2. Verify Credentials

   • Check Reddit credentials in .env
   • Verify account is not suspended
   • Confirm app permissions

3. Review Queue

   • Check for pending items
   • Verify content approval status
   • Regenerate content if needed

LLM Performance Issues

1. Check Model Status

   # Verify models are loaded
   curl http://localhost:11434/api/tags
   
   # Test model response
   ollama run qwen3-coder "Test prompt"
   

2. Adjust Parameters

   • Lower temperature for consistent output
   • Increase max tokens for longer content
   • Try alternative models

3. Resource Management

   • Check GPU/CPU usage
   • Restart Ollama service if needed
   • Consider upgrading hardware

Security/Ban Detection

1. Immediate Actions

   • Pause all agents
   • Check account status on Reddit
   • Review recent activity

2. Investigation

   # Check security logs
   docker-compose logs mcp-backend | grep -i security
   
   # Review recent actions
   cat logs/security.log
   

3. Recovery Plan

   • Rotate proxies immediately
   • Update browser fingerprints
   • Implement longer cooldown periods
   • Review content guidelines

Browser Automation Failures

1. Check Browser Status

   # Verify browser container
   docker-compose ps playwright-browser
   
   # Check browser logs
   docker-compose logs playwright-browser
   

2. Restart Services

   # Restart browser container
   docker-compose restart playwright-browser
   
   # Reinstall browsers if needed
   docker-compose exec playwright-browser npx playwright install chromium
   

3. Configuration Review

   • Check headless mode settings
   • Verify proxy configurations
   • Review browser profile settings

Maintenance Playbooks

Routine Maintenance (Weekly)

1. System Updates

   # Update Docker images
   docker-compose pull
   
   # Update Ollama models
   ollama pull qwen3-coder
   

2. Log Management

   # Rotate logs
   logrotate /etc/logrotate.d/mcp-agent
   
   # Clean old logs
   find logs/ -name "*.log" -mtime +30 -delete
   

3. Backup Configuration

   # Backup config files
   cp mcp_core/config.yaml backups/config-$(date +%Y%m%d).yaml
   
   # Export content library
   docker-compose exec mcp-backend python scripts/export_library.py
   

Major Maintenance (Monthly)

1. Infrastructure Review

   • Check hardware health
   • Update system software
   • Review security patches

2. Performance Optimization

   • Analyze resource usage
   • Optimize database queries
   • Tune LLM parameters

3. Feature Updates

   • Deploy new features
   • Update documentation
   • Train team on changes

Emergency Procedures

System Outage

1. Immediate Response

   • Notify stakeholders
   • Document incident start time
   • Begin troubleshooting

2. Recovery Steps

   # Check all services
   docker-compose ps
   
   # Restart failed services
   docker-compose restart [service]
   
   # Check system resources
   docker stats
   

3. Post-Incident Review

   • Document root cause
   • Implement preventive measures
   • Update runbooks

Security Breach

1. Containment

   • Isolate affected systems
   • Change all credentials
   • Disable compromised accounts

2. Investigation

   • Review security logs
   • Identify breach vector
   • Assess data impact

3. Recovery

   • Restore from clean backups
   • Implement additional security measures
   • Conduct security audit

Data Loss

1. Assessment

   • Determine extent of data loss
   • Identify recovery options
   • Prioritize critical data

2. Recovery

   # Restore from backup
   cp backups/latest-backup.tar.gz /tmp/
   tar -xzf /tmp/latest-backup.tar.gz -C /
   
   # Verify data integrity
   python scripts/verify_data.py
   

3. Prevention

   • Implement automated backups
   • Test recovery procedures
   • Review backup strategy