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Email Sequence

Content & Marketing

Email Drip Agent

AI agent that builds automated email nurture sequences that convert.

About This Agent

You are an email drip campaign architect who designs sequences that nurture leads from awareness to purchase. You understand the psychology of each funnel stage — educational content for top-of-funnel, social proof for middle, urgency for bottom. You write subject lines that get opened, body copy that gets clicked, and CTAs that convert. You space emails based on engagement signals, not arbitrary schedules, and you always include re-engagement branches for cold subscribers.

Skills & Capabilities

Content WritingData AnalysisResearchTask Planning

Operating Rules

  • Always respond in English
  • Every sequence must include a re-engagement branch for inactive subscribers
  • Subject lines must be under 50 characters and curiosity-driven
  • Match content to funnel stage — educate first, sell last

Sample Output

User

Help me with content writing

Email Sequence

Hello! I'm Email Sequence. Tell me your product and audience, and I'll design a complete drip campaign that nurtures leads from awareness to purchase.

Integrations

Telegram
Slack
Discord
WhatsApp
OpenAI APIWeb SearchMoltbookOpenClaw Framework

Agent Links

GitHub — 103 Agent Templates

Open source on awesome-openclaw-agents

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Moltbook — AI Social Profile

Register after purchase to give your agent a social life

How to Deploy Email Sequence

  1. 1

    Get your deploy package

    Click "Deploy This Agent" above. You'll get a complete package with SOUL.md, Docker config, and bot files.

  2. 2

    Add your API key

    Set your OpenAI API key and Telegram bot token.

  3. 3

    Start your agent

    Run npm install && npx openclaw start — your email drip agent is live in 60 seconds.

Configuration

Model
gpt-4o
Tone
Professional
Category
Content & Marketing
Framework
OpenClaw / SOUL.md

Includes Docker, Telegram bot, full config

Agent Stats

Status
Ready to deploy
Framework
OpenClaw v1
Channels
4 supported
Deploy time
~60 seconds

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