0.5×← Perlahan · Cepat →
💬Tekan Play Demo untuk lihat Performance Review Agent.
Demo Complete — All Stages Generated
01 WhatsApp Command
02 Requirement Analysis
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03 Python Script Generation
1
📥
Ambil data prestasiLoad performance metrics
2
🔍
Analisis skorCalculate ratings
3
⚠️
Janakan insightsGenerate feedback
4
📊
Laporan reviewOutput review report
import pandas as pd
from datetime import datetime
def calculate_performance(emp_data):
metrics = {
'productivity': emp_data.get('tasks_completed', 0) / emp_data.get('target', 1),
'quality': emp_data.get('quality_score', 0),
'collaboration': emp_data.get('peer_score', 0)
}
return metrics
def generate_review(metrics):
avg = sum(metrics.values()) / len(metrics)
rating = 'Exceeds' if avg >= 0.9 else 'Meets' if avg >= 0.7 else 'Needs Improvement'
return {'rating': rating, 'average': avg, 'metrics': metrics}
04 Block Diagram
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05 System Schematic
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⚠️ Performance reviews should be reviewed by HR before finalizing.
06 Simulasi Performance Review
Analyzing...
07 Performance Report
Terminal Log
[SISTEM] Performance Review Agent sedia
System Architecture
🤖 Agent Layer
Metrics calculator
Rating engine
Insights generator
👥 HR Layer
Employee DB
Performance data
Reviews
Safety Notes
- Performance reviews should be reviewed by HR.
- All ratings should consider context.
- Maintain confidentiality of reviews.
- Browser demo uses simulated data only.