Algorithmic discovery frameworks like OpenEvolve and GEPA have shown that AI-Driven Research for Systems (ADRS) can produce strong algorithms. But today's frameworks are too expensive for where ADRS should go next. LEVI is a framework built around lowering the cost of algorithmic discovery, getting stronger ADRS results at roughly 3–7× cheaper than baselines.