Sam Pasupalak says it is 51 to 125 times faster and 150 to 210 times cheaper than GPT-6 Astra on CAD and BIM tasks, with higher IOU than every frontier model they tested. Those are the company's own benchmarks, so test it on your own parts.
It runs six phases, from mapping the codebase to hunting area by area, and every finding goes to a fresh agent that did not find it to confirm it is real. You get a findings file split into confirmed, needs validation and rejected.
For teams writing plant software, scripts or integrations: run it on your own code and fix the confirmed findings first.
Viggle says JST-2 generates a 3D scene in seconds, expands it in real time and creates characters with motion built in, all in one architecture. Models that work in 3D rather than pixels are closer to what plant layout and training scenes need.
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.