CASE STUDY | HEALTHTECHBuilding the messaging engine
In 2026, I built an AI-compatible messaging platform for that became my company's single source of truth for positioning, copy, and audience strategy.
The core innovation: an audience model that weaves classic personas, jobs-to-be-done, and content-ready story blocks into one structured system AI can actually use. A BDR drops in a prospect's title, and a Claude skill matches it to an audience, clinical specialty, and org type - then parses value themes and key messages against live account research to generate hyper-personalized emails and call scripts.
Tools used
PROJECT GOALSREPLACE STATIC FILE REPOSITORY WITH DYNAMIC, AI-READABLE MESSAGING SYSTEMGOVERN VOICE AND MESSAGING ACROSS INTERNAL TEAMS
ENABLE ON-BRAND, HYPER-PERSONALIZED BDR OUTREACH WITHOUT THE MANUAL LIFT
Staging app depicted reflects a fictional company. Intended for portfolio showcase only.
OUTCOMESBDRS CAN CREATE PERSONALIZED EMAILS AND PHONE OUTREACH SCRIPTS SHIP IN UNDER AN HOUR (VS. ~0.5 DAYS PREVIOUSLY)OUTREACH QUALITY IMPROVED AND DEMONSTRATED GREATER ALIGNMENT WITH PMM OUTPUT
ADOPTED AS COMPANY-WIDE GOVERNANCE LAYER FOR MESSAGING & COPYWRITING IN AI TOOLS
