我的实习生 - Hermes 和 Openclaw 中的调研工作流
调研交给 AI，省的是写作时间，没省的是判断成本。这篇用三个量化指标（divergence/coverage/credibility）+ FSM 状态机 + 双层控制回路，把 Wikipedia 漫游时那套自然校正机制重新编码进 Hermes 调研系统。
My Intern — Research Workflows in Hermes and OpenClaw
Hand research to AI and you save writing time — not judgment cost. This post re-encodes the natural correction loop from Wikipedia wandering into the Hermes research system using three metrics (divergence/coverage/credibility), an FSM, and a dual-layer control loop.
From OpenClaw to Hermes Agent
The continuation of the OpenClaw Training series. The first five posts were built on OpenClaw; this one documents how to reimplement that same customization approach on Hermes Agent — and where things got better.