Continuous Improvement
Monitor agent evolution and optimization suggestions
Agent Evolution Rate
+24.3%
Performance gain/month
Kaizen Suggestions
147
This month
Learning Velocity
3.2x
Faster than baseline
Optimization Impact
$2.3M
Annual savings
Agent Self-Improvement Progress
Active Learning
Performance Score
Learning Rate
Optimization Impact
Learning Curve by Agent Type
Financial Agents
92%
Learning efficiency
Customer Service
88%
Learning efficiency
Operations
75%
Learning efficiency
Marketing
82%
Learning efficiency
Kaizen Suggestions Pipeline
Automate Report Generation
Impact: High • Effort: Low • Status: ApprovedOptimize Data Pipeline Architecture
Impact: High • Effort: Medium • Status: In ReviewImplement Predictive Caching
Impact: Medium • Effort: Low • Status: TestingEnhance Error Recovery Logic
Impact: Medium • Effort: Medium • Status: PlannedOptimization Pipeline Status
23
In Discovery15
In Testing8
In Deployment42
CompletedRecent Completions
Database Query Optimization
API Response Caching
Workflow Parallelization
Performance Improvement Trends
| Agent/Process | Baseline | Current | Improvement | Learning Rate | Trend |
|---|---|---|---|---|---|
| Invoice Processing | 72% | 94% | +22% |
2.3x | |
| Customer Response | 65% | 88% | +23% |
1.8x | |
| Fraud Detection | 81% | 97% | +16% |
3.1x | |
| Supply Chain Opt | 70% | 85% | +15% |
1.5x | |
| Predictive Maint | 78% | 92% | +14% |
2.7x |
Recursive Improvement
Active
Self-Optimization Cycles
Completed Cycles
127
Avg Improvement/Cycle
+3.2%
Next Cycle In
2h 15m
Focus Areas
Memory Optimization
Response Time
Accuracy