# AUTONOMOUS-DESIGN.md - Cog Operations

*Autonomous operations design for RateRight's Operations Support agent*
*Created: 2026-02-17 in response to Michael's directive via Rivet*

---

## 1. AUTONOMOUS MONITORING & ACTIONS (Without Being Told)

### Daily Automated Tasks
- **2:00 AM:** Log rotation and compression across all systems
- **3:00 AM:** Archive files older than 30 days to compressed storage
- **4:00 AM:** Generate daily metrics summary (storage, performance, errors)
- **Every hour:** Storage usage monitoring with alert thresholds
- **Every 30 min:** System service health checks (rateright-app, databases)

### Continuous Monitoring
- **Storage Management:** Auto-compress logs >50MB, archive temp files >7 days old
- **Database Maintenance:** Index optimization, connection pool monitoring, query performance tracking
- **File System Health:** Disk usage alerts at 80%, cleanup recommendations at 85%
- **Performance Metrics:** Response times, memory usage, CPU load patterns
- **Data Integrity:** Backup verification, corruption detection, inconsistency reporting
- **Error Pattern Analysis:** Log parsing for recurring issues, trend identification

### Batch Processing
- **Lead Data Processing:** CSV imports, data enrichment, duplicate detection
- **Report Generation:** Weekly fleet performance, monthly system summaries
- **Integration Health:** API endpoint testing, webhook validation, sync verification
- **Security Audits:** File permission checks, access log analysis, anomaly detection

---

## 2. DECISION AUTHORITY BOUNDARIES

### AUTO-APPROVE (Act Immediately)
- Routine log cleanup and compression
- Temporary file removal (>7 days old)
- Non-critical service restarts
- Cache clearing and optimization
- Archive old backup files
- Generate reports and metrics
- File permission corrections
- Database index maintenance

### ESCALATE TO RIVET (Decision Required)
- Any file deletion in production directories
- Service changes affecting user experience  
- Database schema modifications
- Security configuration changes
- Third-party integration modifications
- Budget-affecting resource allocation

### EMERGENCY ESCALATION (Alert Michael Immediately)
- Data corruption detected
- Security breach indicators
- Critical service failures
- Storage approaching 95% full
- Backup system failures
- Revenue-affecting system issues

### COORDINATION REQUIRED
- Cross-agent data dependencies (consult Susan for CRM data, Harper for financial reports)
- System changes affecting other agents' workflows
- Resource allocation impacting fleet performance

---

## 3. AGENT COORDINATION METHODS

### Queue-Based Task Management
```
/home/ccuser/cog/queue.json - My personal task queue from Rivet
/home/ccuser/shared/ops-requests/ - Incoming requests from other agents
/home/ccuser/shared/ops-completed/ - Completed task notifications
```

### Fleet Communication Protocol
- **Status Updates:** `fleet-update.js cog --status --task` every heartbeat
- **Alert System:** `fleet-cli.js alert cog "message"` for issues requiring attention
- **Decision Requests:** `fleet-cli.js decide cog "decision-needed"` for escalation
- **Shared State:** Monitor `/home/ccuser/shared/KANBAN.md` for fleet-wide priorities

### Data Sharing Standards
- **Performance Metrics:** `/home/ccuser/shared/metrics/cog-daily.json`
- **System Health:** `/home/ccuser/shared/status/system-health.json`
- **Error Summaries:** `/home/ccuser/shared/logs/error-patterns.md`
- **Maintenance Windows:** `/home/ccuser/shared/schedules/maintenance.json`

### Integration Points
- **Growth Engine:** Monitor CRM database health, process lead imports
- **RateRight App:** Performance monitoring, log analysis, backup verification
- **Agent Fleet:** Resource usage tracking, coordination bottleneck identification

---

## 4. DATA TRIGGERS FOR REDESIGN (3-Month Review Points)

### User Volume Triggers
- **>100 active contractors:** Redesign batch processing for scale
- **>500 job postings/day:** Implement real-time data processing
- **>1000 concurrent users:** Add load balancing and performance optimization
- **Database >10GB:** Implement data archiving and partitioning strategies

### Performance Triggers
- **API response times >2 seconds:** Implement caching and optimization
- **Storage growth >10GB/month:** Redesign archival and compression strategies
- **Error rates >1%:** Implement predictive error prevention
- **Agent coordination delays >30 seconds:** Redesign communication protocols

### Business Triggers
- **Revenue >$10K/month:** Add financial data processing and reporting
- **Multi-city expansion:** Implement geo-distributed monitoring
- **Team growth >3 human employees:** Add HR data processing and compliance
- **Regulatory compliance requirements:** Implement audit trails and data governance

### System Complexity Triggers
- **>5 external integrations:** Implement centralized API management
- **>3 database systems:** Add cross-system data integrity checks
- **>24/7 uptime requirements:** Implement redundancy and failover
- **Custom enterprise deployments:** Add multi-tenant operations support

### Agent Fleet Evolution Triggers
- **>12 agents in fleet:** Redesign coordination from centralized to distributed
- **Specialized sub-teams:** Implement hierarchical operations support
- **Cross-project agent sharing:** Add resource allocation and scheduling
- **Agent-to-agent direct communication:** Reduce central coordination bottlenecks

---

## IMPLEMENTATION SCHEDULE

### Week 1: Foundation
- Deploy automated daily tasks (2AM, 3AM, 4AM cycles)
- Implement storage monitoring with thresholds
- Create decision authority matrix documentation

### Week 2: Coordination
- Build queue-based task management system
- Implement fleet communication protocols
- Create shared metrics and status reporting

### Week 3: Intelligence
- Deploy error pattern analysis
- Implement performance trend monitoring
- Create predictive maintenance triggers

### Week 4: Optimization
- Fine-tune automation based on observed patterns
- Optimize agent coordination workflows
- Prepare 30-day review metrics

---

*This design evolves with RateRight's growth. At each trigger point, I'll proactively propose operational redesigns to maintain efficiency and reliability.*