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Prompt Details

Model
Chat - (gpt-5.5)
Token size
534
Example input
[PROSPECT_NAME]: Elon Musk [COMPANY_NAME]: Tesla [PROSPECT_CONTEXT]: Recently launched the Dogecast podcast focusing on government efficiency and expanding the V4 Supercharger network across Europe. [YOUR_OFFER]: A sustainable battery recycling program that reduces supply chain costs.
Example output
{ "Research_Extraction": { "Personal_Hook": "His focus on extreme efficiency via the recent Dogecast podcast.", "Company_Angle": "Tesla's massive European V4 Supercharger network expansion." }, "Sequence": { "Email_1_Cold_Outreach": { "Subject_Line": "efficiency ethos", "Body": "Hey Elon, tackling those trillion-dollar cuts on Dogecast shows your relentless efficiency ethos. Building on that, with Tesla expanding the V4 Supercharger network across Europe, supply chain efficiency is more critical than ever. Would you be open to piloting a sustainable battery recycling program that cuts your material recovery costs by 15%?" }, "Email_2_Follow_Up": { "Subject_Line": "re: efficiency ethos", "Body": "Hey Elon, just a quick follow-up. Saw your recent comments on making charging infrastructure more accessible globally. A localized battery recycling pipeline could directly support that V4 expansion without relying on overseas materials. Open to exploring a quick pilot?" } }, "Metrics": { "Spam_Trigger_Check": "Passed", "Estimated_Reading_Time": "22 seconds" } }
🤖 GPT

Hyperpersonalized Cold Email Sequence

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GPT-5.5
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Stop sending generic cold emails that land in spam. This enterprise-grade System Prompt is built specifically for mass AI outreach automation (Make.com, n8n, Zapier, Instantly). Unlike basic prompts that spit out messy text, this agent outputs a highly structured JSON containing: - Research Extraction (Identifying exactly what to mention) - Email 1: Cold Outreach (Short, punchy, pattern-interrupt observation + Value bridge) - Email 2: Follow-up (Providing new value, zero guilt-tripping) - Autom
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Added 5 days ago
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