I built a fully automated cold email pipeline with AI. Here's the complete guide (free PDF)

I'm 21 and started my own AI automation agency 2 months ago. My first client came through my network, and the next ones came from posting LinkedIn videos about what I was building. But I wanted something that scales without waiting for inbound.

So I built a cold email automation pipeline from scratch. It handles the full flow:

Lead discovery using web scraping (Firecrawl + Google Maps data)
Email verification before any email goes out
AI-powered research per lead: website scrape, competitor analysis, needs analysis
Personalized 3-email sequences generated by AI with A/B testing on
subject lines, approaches and styles
Automated follow-up timing (day 1, day 3, day 7)
Reply detection via IMAP with AI classification into 6 categories
Human approval dashboard so nothing sends without review
Lead recycling for non-responders after 60 days

The key insight: cold email is not about volume. It is about deep research per lead so the AI has enough context to write emails that actually feel personal. Every lead goes through a 7-step research process before a single word gets written.

I put together a complete guide of 26 pages (PDF attached) that covers the full architecture, the actual AI prompts I use, SMTP setup, warmup strategy, deliverability tips, and the 10 mistakes I made building this.

Hope it helps someone here!

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