Argon orchestrated subagents, Blender MCP and Nano Banana to turn everyday objects on a real desk into the track. The same photo-to-3D chain is a cheap way to rough out a real space before modeling it properly.
Ryan Sael's version follows the manual page for page, with the same parts, hardware counts and order, and he notes panel thickness and hole positions are read off the drawings, not measured. Work instructions for plant equipment could be shown the same way.
Flo shared a component that draws agents as a tree, so you can see who started whom. As agents start other agents, that kind of view is how a person keeps track of what is running.
It triages alarms on CNC spindles and air compressors, checks the storeroom and drafts the work order, with no AI model call in the alarm path. The misses are the useful part: one was a failed sensor reading 131 C that the rules read as cooler fouling.
For maintenance planners and reliability engineers: copy the method, which is test the agent on real alarms and write down where it was wrong.