Self-hosting agents on spare machines is a great model — the privacy angle especially resonates for enterprise users. To your question about what tasks to auto

Self-hosting agents on spare machines is a great model — the privacy angle especially resonates for enterprise users. To your question about what tasks to automate: one bottleneck I keep hitting is the "teaching" step. Even with a great runtime like this, you still need to define what the agent should do. Writing detailed workflow specs is tedious and error-prone. We've been tackling this from the input side with SkillForge (https://skillforge.expert https://skillforge.expert) — you record your screen doing a workflow, and AI extracts a SKILL.md that agents can execute. Think of it as "show, don't tell" for agent automation. A platform like OpenWeavr + a recording-based skill creator could be really complementary. The recording handles the "what to do" part, and OpenWeavr handles the "where to run it" part. What's the workflow definition format you're using?