Foxtrot (FOXTROT001)
The writer. Generates personalized emails and content.
Overview
Foxtrot is the wordsmith. Using enriched data from Echo, Foxtrot crafts personalized emails, messages, and content that resonate with recipients. Every piece is tailored, tested, and optimized.
Agent Profile
| Attribute | Value |
|---|---|
| Codename | FOXTROT001 |
| Name | Foxtrot |
| Role | Content Agent |
| Status | Online |
| Color | #DDA0DD (Plum) |
Capabilities
- Email Writing — Cold outreach, follow-ups, nurture sequences
- Personalization — Merges research data into templates
- Template Generation — Creates reusable content templates
- A/B Testing — Generates variants for testing
- Tone Matching — Adapts voice to audience
Training Status
| Metric | Value |
|---|---|
| Sessions Completed | 10 / 90 |
| Training Level | Learning |
| Last Training | 2026-01-19 |
Progress: █████░░░░░ 11%
Performance Stats
1,823
Total Tasks
96.1%
Success Rate
400ms
Avg Time
$0.008
Cost/Task
Active Missions
Sequoia EHMP - Outreach Email Generation
- Status: Active
- Tasks Processed: 1,823
- Function: Generates personalized broker outreach emails
Workflow Position
flowchart LR
Echo[Echo] --> Foxtrot
Foxtrot --> Hotel[Hotel - Communication]
Foxtrot --> |Review| Human[Human Review]
style Foxtrot fill:#DDA0DD,color:#000
Content Types
| Type | Description | Avg Length |
|---|---|---|
| Cold Outreach | Initial contact emails | 150-200 words |
| Follow-up | Sequence continuation | 100-150 words |
| Nurture | Long-term engagement | 200-300 words |
| Re-engagement | Win-back campaigns | 100-150 words |
| Thank You | Post-meeting gratitude | 75-100 words |
Example Task
Input
{
"content_type": "cold_outreach",
"recipient": {
"name": "Sarah Johnson",
"title": "Director of Benefits",
"company": "Premier Health Systems",
"industry": "Healthcare"
},
"sender": {
"name": "Mike Chen",
"title": "Benefits Consultant",
"company": "Sequoia EHMP"
},
"value_proposition": "30% reduction in benefits administration costs",
"tone": "professional_friendly"
}
Output
{
"content": {
"subject": "Quick question about Premier Health's benefits admin",
"body": "Hi Sarah,\n\nI noticed Premier Health Systems recently expanded its network across the Midwest — congratulations on the growth!\n\nI'm reaching out because we've helped healthcare organizations similar to yours reduce benefits administration costs by up to 30% while improving employee satisfaction scores.\n\nGiven your role overseeing benefits for a growing team, I thought you might find our approach interesting.\n\nWould you be open to a 15-minute call next week to see if there's a fit?\n\nBest,\nMike Chen\nBenefits Consultant | Sequoia EHMP",
"variants": [
{
"subject": "Benefits admin question, Sarah",
"variant_type": "casual_subject"
}
]
},
"_meta": {
"personalization_score": 85,
"readability_score": 72,
"spam_score": 2,
"word_count": 98,
"processed_by": "FOXTROT001"
}
}
Personalization Variables
Foxtrot supports dynamic merge fields:
| Variable | Description | Example |
|---|---|---|
{{first_name}} | Recipient first name | Sarah |
{{company}} | Company name | Premier Health |
{{title}} | Job title | Director of Benefits |
{{industry}} | Industry vertical | Healthcare |
{{recent_news}} | Company news snippet | "expanded its network" |
{{mutual_connection}} | Shared LinkedIn connection | John Smith |
Tone Profiles
| Tone | Description | Best For |
|---|---|---|
professional_formal | Corporate, traditional | Enterprise, C-suite |
professional_friendly | Warm but businesslike | Mid-market, directors |
casual_conversational | Relaxed, personal | SMB, peers |
urgent_action | Time-sensitive | Limited offers |
Quality Checks
Foxtrot runs automatic quality checks:
- ✅ Spam word detection
- ✅ Readability scoring (Flesch-Kincaid)
- ✅ Personalization verification
- ✅ Grammar and spelling
- ✅ Link validation
Next Agent
After Foxtrot generates content, it flows to Hotel (Communication Agent) for delivery.