PERSONALIZATION PIPELINE
I built an AI personalization pipeline for outbound email using Python, web scraping, and LLM generation stitched into one flow. It researches each prospect, personalizes the angle, and drafts the message. The numbers moved.
// WHAT IT DOES
Most outbound is either generic-at-scale or personalized-but-slow. The pipeline collapses that tradeoff: it pulls public signal on each prospect, reasons about the most relevant hook, and drafts a message that reads like a human wrote it for one person.
Built in Python. Scraping and enrichment feed an LLM generation step, with guardrails so the output stays on-voice and on-offer.
// THE PIPELINE
Scrape & enrich public prospect signal.
Pick the most relevant angle per prospect.
Generate an on-voice, ready-to-send message.
// TRY THE PERSONALIZER
Paste a public LinkedIn URL, pick a message type, and generate a draft.