An AI artist-manager that matches for cents.
Ari helps creators find and reach the right brands. I designed the Outreach engine — the matching, the data model, and the economics — so it's cheap and explainable by design.
The best AI decision was where not to use AI — one cheap LLM call for the fuzzy part, then boring, fast, explainable SQL for the match.
A shared taxonomy turns matching into a join.
Both sides — creators (from Modash) and brands (from Apollo) — map onto the same tag dictionary via a single stateless LLM call. Once they speak the same language, "find brands for this creator" is a scored join over a pre-cached pool, not an API storm. A transparent formula (not a black box) keeps every match explainable to creators and brands.
The architecture calls.
Pre-cache Apollo, query locally
Amortize a one-time brand pull across every creator — collapsing marginal cost to near-zero and matching to a local join.
One taxonomy, both sides
Makes matching a join, keeps it explainable, and lets one prompt serve creators and brands alike.
Rules before ML
A weighted score ships in weeks and generates the exact reply/close signals a learn-to-rank layer later needs.
Fast, cheap, explainable by design.
~2,000-brand pool
per new creator
creators & brands