Plugin Selection Toys Exclusive

render(temp);

interface ToyContext // shared state across plugins audioBuffer?: AudioBuffer; canvas?: HTMLCanvasElement; physicsWorld?: Matter.World; userParams: Record<string, any>; plugin selection toys

If a generation sounds interesting, immediately render the audio to a new track. However, evaluating these agents is fraught with difficulty

: Quickly isolate or deselect specific geometry types within a large selection, such as only edges, faces, groups, or components. These "toys" allow for rapid iteration, clear metrics,

Define a minimal plugin interface:

To address this, researchers develop automated selection agents. However, evaluating these agents is fraught with difficulty. Testing against real-world software is slow, expensive, and often reliant on closed-source data. This paper argues for the use of : abstracted, lightweight environments—akin to toy problems in AI research—that simulate the constraints of plugin selection without the overhead of production software. These "toys" allow for rapid iteration, clear metrics, and reproducible results.