0.5×← Perlahan · Cepat →
💬Tekan Play Demo untuk lihat Staff Performance Notes Agent.
Demo Complete — All Stages Generated
01 WhatsApp Command
02 Requirement Analysis
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03 Python Script Generation
1
📥
Ambil nota prestasiFetch performance notes
2
🔍
Analisis prestasiAnalyze sentiment & trends
3
📖
Ringkasan prestasiGenerate performance summary
4
📊
Laporan & reviewPrepare review documents
import pandas as pd
from textblob import TextBlob
def analyze_notes(staff_id):
notes = pd.read_sql("SELECT * FROM performance_notes WHERE staff_id = ?", staff_id)
scores = []
for _, note in notes.iterrows():
blob = TextBlob(note['content'])
scores.append({'date': note['date'], 'sentiment': blob.sentiment.polarity, 'note': note['content']})
return pd.DataFrame(scores)
04 Block Diagram
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05 System Schematic
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Performance notes should be factual and constructive. Avoid personal bias.
06 Simulasi Performance Review
Mula Prestasi
07 Performance Notes Report
Terminal Log
[SISTEM] Staff Performance Notes Agent sedia
System Architecture
🤖 Agent Layer
Notes parser
Sentiment analyzer
Summary generator
🏢 HR Layer
Performance DB
Staff records
Review system
Reports
Safety Notes
- Performance notes should be factual and constructive. Avoid personal bias.
- Configure role-based access for performance data.
- Audit all performance notes for compliance.
- Browser demo uses simulated data only.