MoneyZone

The Problem

Fantasy football has no shortage of data, but synthesizing PFF grades, snap counts, target share, and line context into confident decisions under time pressure is difficult and often leads to analysis paralysis.

The Approach

I built MoneyZone around two components: a GM persona (GiMi Beane) that provides consistent strategic framing, and a weekly PFF data pipeline processed with Python and fed into Claude for draft rankings, waiver recommendations, lineup decisions, FAAB bids, and trade evaluations with clear reasoning.

Technologies Used