Start as a managed creative experimentation service for growth teams that lack enough internal testing capacity. The offer would include hypothesis backlog creation, weekly ad concept production, test setup guidance, result analysis, and a maintained learning library of hooks, formats, angles, and channel outcomes. Over time, the repeatable parts can become templates, benchmarks, reporting workflows, and lightweight software around experiment planning and institutional memory.

AI has lowered the cost of generating creative variants, but teams still need judgment, test design, and operational discipline to know what is working and why. Job ads show companies actively investing in creative automation, experimentation culture, and faster speed-to-insight.