PERSONALIZATION PIPELINE
I built an AI personalization pipeline for outbound email — 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.