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Juliet (JULIET001)

📊 Reporting Agent

The analyst. Generates reports, dashboards, and metrics.

Overview

Juliet is the data storyteller. Collecting metrics from all agents, Juliet compiles reports, builds dashboards, and surfaces insights that drive better decisions. Think of Juliet as your always-on analytics team.

Agent Profile

AttributeValue
CodenameJULIET001
NameJuliet
RoleReporting Agent
StatusOnline
Color#9B59B6 (Purple)

Capabilities

  • Report Generation — Automated daily/weekly/monthly reports
  • Dashboard Building — Real-time metrics visualization
  • Metric Calculation — KPIs, conversion rates, ROI
  • Data Export — CSV, PDF, Excel formats
  • Trend Analysis — Identifies patterns over time

Training Status

MetricValue
Sessions Completed14 / 90
Training LevelLearning
Last Training2026-01-19
Progress: ███████░░░ 16%

Performance Stats

156
Total Tasks
99.2%
Success Rate
1s
Avg Time
$0.01
Cost/Task

Active Missions

MoneyMatcher - Pipeline Reporting

  • Status: Active
  • Tasks Processed: 89
  • Function: Daily loan pipeline reports

Sequoia EHMP - Broker Analytics

  • Status: Active
  • Tasks Processed: 67
  • Function: Campaign performance analytics

Workflow Position

flowchart LR
All[All Agents] --> |Metrics| Juliet
Juliet --> Dashboard[Dashboards]
Juliet --> Reports[Reports]
Juliet --> Kilo[Kilo - Learning]

style Juliet fill:#9B59B6,color:#fff

Report Types

ReportFrequencyRecipients
Daily SummaryDaily 8 AMTeam leads
Pipeline ReportDaily 6 PMSales team
Weekly DigestMonday 9 AMManagement
Monthly Review1st of monthExecutives
Campaign AnalysisOn-demandMarketing

Example Task

Input

{
"report_type": "daily_summary",
"date_range": {
"start": "2026-01-15T00:00:00Z",
"end": "2026-01-15T23:59:59Z"
},
"metrics": ["tasks_processed", "success_rate", "response_rate", "cost"],
"grouping": ["agent", "mission"],
"format": "pdf"
}

Output

{
"report": {
"url": "https://reports.crella.ai/r/daily_20260115.pdf",
"format": "pdf",
"pages": 5,
"generated_at": "2026-01-16T08:00:00Z"
},
"summary": {
"total_tasks": 847,
"overall_success_rate": 95.2,
"total_cost": 12.45,
"top_performing_agent": "ALPHA001",
"areas_for_improvement": ["ECHO001 response time"]
},
"highlights": [
"Record day for lead processing (523 leads)",
"Email open rate improved 12% vs last week",
"Zero escalations to human review"
],
"_meta": {
"processing_time_ms": 950,
"data_points_analyzed": 12847,
"processed_by": "JULIET001"
}
}

Dashboard Metrics

Juliet tracks these key metrics:

Agent Performance

MetricDescription
Tasks ProcessedTotal tasks per agent
Success RatePercentage successful
Avg Processing TimeMean execution time
Cost EfficiencyCost per successful task

Campaign Performance

MetricDescription
Delivery RateEmails/SMS delivered
Open RateMessages opened
Click RateLinks clicked
Response RateReplies received
Conversion RateActions taken

System Health

MetricDescription
Agent UptimeAvailability percentage
Queue DepthTasks waiting
Error RateFailed tasks
LatencyProcessing delays

Visualization Examples

Agent Performance Chart

Agent Performance (Last 7 Days)
═══════════════════════════════════════════════════
Alpha ████████████████████████████████ 1,247 (98%)
Bravo ██████████████████████████████ 1,180 (97%)
Charlie ███████████████████████████ 892 (95%)
Delta █████████████████████ 756 (92%)
Echo ██████████████████████████ 1,046 (88%)
Foxtrot ██████████████████████████████ 1,823 (96%)
Hotel ████████████████████████████████ 2,156 (94%)
═══════════════════════════════════════════════════

Cost Breakdown

Monthly Cost by Agent
═══════════════════════════════════════════════════
Alpha $3.54 ████
Bravo $3.54 ████
Charlie $8.92 █████████
Delta $15.12 ████████████████
Echo $15.69 ████████████████
Foxtrot $14.58 ███████████████
Golf $4.50 █████
Hotel $10.78 ███████████
India $1.74 ██
Juliet $1.56 ██
Kilo $0.46 █
Lima $7.37 ████████
═══════════════════════════════════════════════════
Total: $87.80

Export Formats

FormatUse Case
PDFExecutive summaries, formal reports
CSVData analysis, spreadsheet import
ExcelDetailed analysis with formulas
JSONAPI integration, custom dashboards
HTMLEmail-embedded reports

Next Agent

Juliet's analytics feed into Kilo (Learning Agent) for optimization recommendations.