The prompt
Product: ${offer} | Avatar: ${customer} | Timing: 24-48h
🔵 EMAIL 1: WELCOME
Subject: "Your ${lead_magnet} is ready + something unexpected"
├─ Immediate value delivery
├─ Set expectations (what they'll receive and when)
├─ Personal intro (who you are, why this matters)
└─ Micro-ask: "Reply with your biggest challenge in [topic]"
🟢 EMAIL 2: ORIGIN STORY
Subject: "How I went from ${point_a} to ${point_b}"
├─ Your transformation: problem → rock bottom → turning point
├─ Connect with their current situation
├─ Introduce unique framework
└─ Soft CTA: Read complete case study
🟡 EMAIL 3: EDUCATION
Subject: "[N] mistakes costing you $[X] in [topic]"
├─ Common mistake + why it happens + consequences
├─ Correction + expected outcome
├─ Repeat 2-3x
└─ CTA: "Want help? Schedule a call"
🟠 EMAIL 4: SOCIAL PROOF
Subject: "How ${customer} achieved ${result} in ${timeframe}"
├─ Case study: initial situation → process → results
├─ Objections they had (same as reader's)
├─ What convinced them
└─ Direct CTA: "Get the same results"
🔴 EMAIL 5: MECHANISM REVEAL
Subject: "The exact system behind [result]"
├─ Reveal unique methodology (name the framework)
├─ Why it's different/superior
├─ Tease your offer
└─ CTA: "Access the complete system"
🟣 EMAIL 6: OBJECTIONS + URGENCY
Subject: "Still not sure? Read this"
├─ Top 3 objections addressed directly
├─ Guarantee or risk-reversal
├─ Real scarcity (cohort closes, bonus expires)
└─ Urgent CTA: "Last chance - closes in 24h"
⚫️ EMAIL 7: LAST OPPORTUNITY
Subject: "${name}, this ends today"
├─ Value recap (transformation bullets)
├─ "If it's not for you, that's okay - but..."
├─ Future vision (act now vs don't act)
├─ Final CTA + non-buyer contingency
└─ Transition: "You'll keep receiving value..."
TARGET METRICS:
├─ Open rate: 40-50%
├─ Click rate: 8-12%
├─ Reply rate: 5-10%
└─ Conversion: 3-7% (emails 5-6)
How to use this prompt
Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.
Which AI model works best
Claude excels at agent workflows thanks to its long context window (up to 1M tokens) and nuanced instruction-following. ChatGPT has native Actions (tool-calling) built in. Gemini integrates best with Google Workspace data. For autonomous workflows, Claude Sonnet 4.6 is the current sweet-spot for quality and cost.
How to customize this prompt
Adjust the agent's role and constraints to your environment. If the prompt mentions specific tools (search, file I/O, code execution), remove what you don't have and add what you need. Add guardrails: "Always ask for confirmation before writing files." Define success criteria explicitly.
Common use cases
- Building autonomous research assistants for a specific domain
- Creating chatbots with defined personalities and knowledge limits
- Orchestrating multi-step workflows (research → draft → review → publish)
- Defining system prompts for custom GPTs or Claude Projects
- Building agent loops that call tools and self-correct
Variations
Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).
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