Frontier AI at a fraction of the cost: open-source worker agents with a closed-source advisor.

What this post added

This post details the research and implementation of a hybrid AI architecture. It describes the 'worker-advisor' setup where an open-source model (Kimi-K2.6 or GLM-5.2) performs task execution and a closed-source frontier model (Claude Opus 4.8) acts as a read-only advisor during a review step. The post presents benchmark results showing performance lifts and cost reductions compared to using only open-source or only frontier models. It also includes ablation studies on advisor call frequency and model roles.